About the Role: 

We are seeking a dynamic and experienced AI Sales Head to lead our AI services and solutions sales efforts across India. This strategic leadership role demands a consultative sales background, strong understanding of AI products and services, and a proven track record of driving revenue growth in enterprise and mid-market segments, while keeping overall profitability in mind.  

Key Responsibilities: 

• Sales Leadership: Own and drive the sales strategy for technical and consulting services, including AI-based solutions, across India. 

• Lead Generation & Pipeline Building: Proactively identify, qualify, and develop new business opportunities through a combination of outbound prospecting, partner channels, events, and inbound marketing leads. 

• Client Engagement: Build and nurture relationships with key decision-makers (CXO level) of existing customers across industries to understand their business needs and position our services as strategic solutions. 

• Pan-India Expansion: Manage and grow a sales pipeline across regions with a focus on enterprise accounts, ensuring consistent YoY growth. 

• Solution Selling: Lead consultative sales engagements, working closely with technical teams to craft tailored proposals and value propositions. 

• Partnership & Alliances: Collaborate with technology partners, AI platform providers, and system integrators to expand our solution portfolio. 

• Team Collaboration: Work closely with delivery, pre-sales, and product teams to ensure successful project handoffs and customer satisfaction. 

• Sales Forecasting & Reporting: Maintain accurate sales forecasts and provide regular updates to senior management. 

 

Requirements: 

• Experience: Minimum 5+ years in technical or consulting services sales, preferably with exposure to AI/ML technologies, cloud services, or enterprise digital transformation projects. 

• Domain Expertise: Strong understanding of AI-based services and solutions (e.g., AI consulting, AI product implementation, automations, data platforms). 

• Geography: Must be based in the Delhi NCR region and open to travel across India as needed. 

• Sales Acumen: Demonstrated ability to close complex, high-value deals and manage long sales cycles. 

• Communication: Excellent presentation, negotiation, and stakeholder management skills. 

• Travel: Willingness to travel up to 50% of the time across India for client meetings and events. 

Preferred Qualifications: 

• Experience working with Indian IT consulting firms. 

• Familiarity with enterprise AI adoption trends and technologies. 

• Existing client relationships in BFSI, Manufacturing, Retail, or Public Sector. 

Compensation: 

• Competitive base salary 

• Attractive commissions and incentives based on performance and deal closures 

   

We are seeking a highly skilled Java Backend Engineer with expertise in agentic workflows and MCP (Model Context Protocol) service integration to join our engineering team. The ideal candidate will design, develop, and optimize backend systems that power intelligent, autonomous agents and context-driven services. You will collaborate with cross-functional teams to architect scalable solutions that leverage cutting-edge AI workflows while maintaining reliability, performance, and security. *Responsibilities* – •Design, develop, and maintain scalable Java-based backend services to support agentic workflows and AI-driven applications. •Implement and optimize MCP services to enable seamless context sharing and dynamic orchestration between models, agents, and tools. •Architect APIs, microservices, and event-driven systems that ensure high performance, reliability, and low-latency communication. •Collaborate with data scientists, AI/ML engineers, and frontend developers to integrate agentic intelligence into production systems. •Write clean, maintainable, and testable code while following best practices in software engineering. •Monitor, troubleshoot, and optimize system performance, scalability, and fault-tolerance. •Contribute to workflow automation, context management, and intelligent decision-making systems. •Stay up to date with emerging technologies in AI, distributed systems, and backend engineering *Qualifications/Required skills:* •Bachelor’s/Master’s degree in Computer Science, Engineering, or related field. •5+ years of backend engineering experience with strong expertise in Java (Java 11+) and Python. •Proven experience with agentic workflows (autonomous task orchestration, tool use, context-driven execution). •Hands-on with MCP (Model Context Protocol) service development and integration. •Strong understanding of microservices architecture, RESTful APIs, gRPC, and message queues (Kafka, RabbitMQ, etc.). •Experience with databases (SQL & NoSQL) and caching solutions (Redis, Memcached). •Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). •Solid grasp of concurrency, multithreading, and distributed systems design. •Proficiency in CI/CD pipelines, testing frameworks (JUnit, Mockito), and code quality tools. •Excellent problem-solving, debugging, and communication skills *Preferred Qualification:* •Experience with AI/ML infrastructure, LLM-based applications, or agent frameworks. •Knowledge of event sourcing, CQRS, and workflow engines (e.g., Temporal, Camunda, Airflow). •Contributions to open-source projects related to agentic systems or MCP. •Understanding of observability (logging, tracing, metrics) in distributed systems.

Responsibilities –

• Continuous  Deployment using GitHub Actions, Flux, Kustomize
• Design and implement cloud solutions, build MLOps on AWS cloud
• Data science model containerization, deployment using Docker, VLLM, Kubernetes
• Communicate with a team of data scientists, data engineers, and architects, and document the processes
• Develop and deploy scalable tools and services for our clients to handle machine learning training and inference.
• Knowledge of ML models and LLM

Qualifications:

• 6+ years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB and AWS.
• Good understanding of Apache SOLR.
• Proficient with Linux administration.
• Knowledge of ML models and LLM.
• Ability to understand tools used by data scientists and experience with software development and test automation
• Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS)
• Experience working with cloud computing and database systems
• Experience building custom integrations between cloud-based systems using APIs
• Experience developing and maintaining ML systems built with open-source tools
• Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes
• Experience developing containers and Kubernetes in cloud computing environments
• Familiarity with one or more data-oriented workflow orchestration frameworks (Kubeflow, Airflow, Argo, etc.)
• Ability to translate business needs to technical requirements
• Strong understanding of software testing, benchmarking, and continuous integration
• Exposure to machine learning methodology and best practices
• Good communication skills and ability to work in a team

  Note: Focus is to have 60% SRE and 40% ML Ops…  

Job Overview: We are seeking a Technical Lead with strong managerial capabilities to drive the design, delivery, and optimization of AI/ML and data platform initiatives. The ideal candidate will coordinate multiple workstreams, lead cross-functional teams, and ensure high-quality, timely execution while maintaining strategic alignment with business goals. This role combines hands-on technical expertise with project management skills. Key Responsibilities:

• Coordinate multiple workstreams simultaneously, ensuring timely delivery and adherence to quality standards.
• Facilitate daily stand-ups and syncs across global time zones, maintaining visibility and accountability.
• Understand business domains and technical architecture to enable informed decisions and proactive risk management.
• Collaborate with data engineers, AI/ML scientists, analysts, and product teams to translate business goals into actionable plans.
• Track project progress using Agile or hybrid methodologies, escalate blockers, and resolve dependencies.
• Own task lifecycle — from planning through execution, delivery, and retrospectives.
• Perform technical reviews of data pipelines, ETL processes, and architecture, identifying quality or design gaps.
• Evaluate and optimize data aggregation logic while ensuring alignment with business semantics.
• Contribute to the design and development of RAG pipelines and workflows involving LLMs.
• Create and maintain Tableau dashboards and reports aligned with business KPIs for stakeholders.
• Mentor and guide team members, fostering knowledge sharing, collaboration, and skill development.

Required Skills

• Strong expertise in data pipelines, architecture, and analytics platforms (e.g., Snowflake, Tableau).
• Experience reviewing and optimizing data transformations, aggregations, and business logic.
• Hands-on familiarity with LLMs and practical RAG implementations.
• Knowledge of AI/ML workflows, model lifecycle management, and experimentation frameworks.
• Proven experience in managing complex, multi-track projects.
• Skilled in project tracking and collaboration tools (Jira, Confluence, or equivalent).
• Excellent communication and coordination skills with technical and non-technical stakeholders.
• Experience working with cross-functional, globally distributed teams.

Additional Skills

• Exposure to cloud platforms (AWS) and modern DevOps practices.
• Ability to create executive-level dashboards and summaries for leadership.
• Strong analytical and problem-solving mindset.
• Understanding of semantic layers for consistent business logic interpretation.

Job Overview: We are looking for an experienced Data Engineer with AI Insights to design and deliver robust data solutions that enable AI-driven analytics and decision-making. The role combines strong expertise in Snowflake and Python with hands-on experience in building ETL/ELT pipelines, preparing data for AI/ML workflows, and supporting modern LLM and RAG-based applications. Key Responsibilities:

• Develop and optimize ETL/ELT pipelines using Python, SQL, and Snowflake to ensure high-quality data for analytics, AI, and LLM workflows.
• Build and manage Snowflake data models and warehouses, focusing on performance, scalability, and security.
• Collaborate with AI/ML teams to prepare datasets for model training, inference, and LLM/RAG-based solutions.
• Automate data workflows, validation, and monitoring for reliable AI/ML execution.
• Support RAG pipelines and LLM data integration, enabling AI-driven insights and knowledge retrieval.
• Partner with business and analytics teams to transform raw data into actionable AI-powered insights.
• Contribute to dashboarding and reporting using Tableau, Power BI, or equivalent tools.

Qualifications

• 5+ years of Data Engineering experience with exposure to AI/ML workflows.
• Advanced expertise in Python programming and SQL.
• Hands-on experience with Snowflake (data warehousing, schema design, performance tuning).
• Experience building scalable ETL/ELT pipelines and integrating structured/unstructured data.
• Familiarity with LLM and RAG workflows, and how data supports these AI applications.
• Experience with reporting/visualization tools (Tableau)
• Strong problem-solving, communication, and cross-functional collaboration skills.

Preferred Skills

• Experience with MLOps pipelines and ML frameworks (Scikit-learn, TensorFlow, PyTorch).
• Knowledge of cloud data platforms (AWS) and orchestration tools (Airflow, dbt).
• Exposure to containerization (Docker, Kubernetes) and CI/CD practices.
• Ability to partner with business and analytics teams to deliver actionable insights.

About the Role 

We’re seeking a talented and detail-oriented Video Editor to join our team on a contract basis. You’ll work closely with our [creative/marketing/content] team to edit compelling video content for various platforms, including web, social media, and digital campaigns.  This is a great opportunity for someone who is passionate about storytelling through video, has a strong creative vision, and can deliver high-quality edits under tight deadlines. 

Responsibilities 

• Edit raw footage into polished, engaging video content aligned with brand guidelines and project objectives 

• Collaborate with creative directors, producers, and the marketing team to understand the vision and narrative 

• Add music, sound effects, graphics, and other elements to enhance videos 

• Optimize videos for different platforms (YouTube, Instagram, website, etc.) 

• Ensure all content meets technical standards and brand consistency 

• Revise videos based on stakeholder feedback within set deadlines 

• Manage multiple projects simultaneously while maintaining high quality 

• Organize and maintain video assets and project files 

Requirements 

• Proven experience as a video editor (portfolio required) 

• Proficiency in video editing software such as Adobe Premiere Pro, After Effects, Final Cut Pro, or DaVinci Resolve 

• Strong understanding of visual storytelling, pacing, and post-production workflow 

• Familiarity with motion graphics, color grading, and sound design 

• Ability to work independently and collaboratively in a fast-paced environment 

• Excellent time management and communication skills 

• Bonus: Experience editing for social media or branded content 

 

Job Summary: 

We are looking for a highly skilled Executive – Corporate Accounts & Finance with hands-on experience in GST filings, payroll, MIS reporting, TDS, and Record-to-Report (RTR) processes. The ideal candidate will also be proficient in financial data analysis, especially GSTR-2B analysis for Input Tax Credit (ITC) tracking. Experience in Zoho Books, Zoho Payroll, and statutory compliance is a strong plus. 

Key Responsibilities: 

GST Compliance: 

• Preparation and timely filing of GSTR-1, GSTR-3B, and GSTR-9. 

• Reconciliation of GSTR-2B with purchase registers; ensure accurate and optimized ITC claims. 

• Handle GST queries, notices, and maintain audit-ready documentation. 

Payroll Management: 

• Complete payroll processing including salary computation, TDS, and statutory filings (PF, ESI, PT). 

• Generate payslips and manage reimbursements, bonuses, and F&F settlements. 

• Ensure payroll compliance with applicable laws and timely returns. 

TDS Compliance: 

• Timely deduction and deposit of TDS for vendor payments, salaries, and contract services. 

• Filing of TDS returns (Form 24Q, 26Q, etc.) and issuing of Form 16 / 16A. 

• Maintain TDS ledger, track challans, and ensure reconciliation with Form 26AS. 

MIS Reporting & Data Analysis: 

• Generate monthly, quarterly, and ad-hoc MIS reports for leadership. 

• Analyze GSTR-2B and vendor data to derive insights on ITC trends and mismatches. 

• Present findings and help improve compliance and cost control. 

RTR (Record to Report): 

• End-to-end ownership of financial closing activities including journal entries, accruals, provisions, and ledger reconciliations. 

• Monthly and year-end closing support for trial balance, P&L, and balance sheet accuracy. 

• Coordinate with auditors for internal and statutory audits. 

Accounting & Bookkeeping: 

• Maintain day-to-day books of accounts using Zoho Books or equivalent ERP. 

• Conduct bank reconciliations, track inter-company transactions, and review ledgers regularly. 

• Support budgeting, cash flow forecasting, and working capital monitoring. 

Audit Filing & Compliance: 

• Assist in the preparation and filing of financial statements for statutory audit. 

• Coordinate with auditors for timely submission of required schedules, reconciliations, and supporting documents. 

• Ensure compliance with audit requirements and internal controls. 

Transfer Pricing Documentation: 

• Assist in preparation and maintenance of Transfer Pricing Study Reports in line with Income Tax guidelines. 

• Coordinate with external consultants for benchmarking analysis and arm’s length price validation. 

• Ensure timely submission and audit readiness for transfer pricing documentation. 

Required Skills and Qualifications: 

• Bachelor’s degree in Accounting, Finance, or related field. 

• Minimum 4 years of experience in core accounting, GST, TDS, payroll, and RTR functions. 

• Proficient in Zoho Books, Zoho Payroll, MS Excel (VLOOKUP, Pivot Tables), and Tally (optional). 

• Strong working knowledge of Indian tax laws – GST, TDS, PF, ESI, PT. 

• Experience with month-end close processes and MIS reporting. 

• Excellent attention to detail, compliance-oriented mindset, and good communication skills. 

Preferred Qualifications: 

• Experience in analyzing GSTR-2B and optimizing ITC claims. 

• Exposure to audit procedures, internal controls, and process documentation. 

• Familiarity with automation tools or dashboards (e.g., Power BI, Zoho Analytics). 

 

Overview: 

We are seeking a dynamic and results-driven Sales Executive (IT Sales) to join our growing team. The ideal candidate will have a strong understanding of IT products and services, excellent communication skills, and a proven track record in B2B sales. You will be responsible for identifying new business opportunities, managing client relationships, and driving revenue growth. 

Key Responsibilities: 

• Identify and develop new business opportunities through networking, cold calling, and market research. 

• Present, promote, and sell IT solutions, products, and services to prospective clients. 

• Conduct effective product demos and presentations tailored to client needs. 

• Build and maintain strong, long-lasting customer relationships. 

• Achieve agreed sales targets and outcomes within schedule. 

• Prepare and deliver sales proposals and contracts. 

• Maintain detailed records of client interactions and sales activity in CRM software. 

• Collaborate with technical and support teams to ensure customer satisfaction. 

Requirements: 

• Proven work experience as a Sales Executive or relevant role, preferably in IT or technology sales. 

• Strong knowledge of IT products and services (software, cloud solutions, etc.). 

• Excellent selling, communication, and negotiation skills. 

• Highly motivated and target driven with a proven track record in sales. 
• Ability to create and deliver presentations tailored to the audience’s needs. 
• Bachelor's degree in business, Marketing, Information Technology, or a related field. Compensation Salary - 2 LPA + Incentives 

Overview: 

We are seeking a highly skilled Spectrum Optimization Subject Matter Expert (SME) with hands-on experience in frequency management and interference mitigation within the unlicensed 5GHz band. The ideal candidate will have a proven track record of developing and implementing solutions that enhance link quality, minimize service impacts, and ensure SLA compliance in complex network environments. This project involves addressing challenges related to frequency interference among service providers, ISPs, and system integrators, requiring innovative approaches and robust technical expertise. 

Responsibilities: 

• Analyze and diagnose interference issues within the 5GHz band, considering both internal and external sources  

• Develop and refine solutions to optimize spectrum usage, reduce interference, and enhance service quality, including the implementation of a Link Quality Indicator and a Self-Organizing Network tool. 

• Can assess spectrum usage and interference levels effectively across multiple data points 

• Collaborate with cross-functional teams to integrate spectrum optimization solutions  

Requirements: 

• Hands on experience in working with Interferences [within spectrum and external] 

• Expertise in the Frequency Managerment and Signal analysis  

• Extensive hands-on experience in spectrum analysis, frequency management, and interference mitigation within the 5GHz band. 

• Strong background in network engineering, particularly in multi-vendor environments. 

• Experience with developing and implementing LQI and SON tools or similar technologies for network optimization. 

• Proficiency in analysing RF parameters, signal-to-noise ratios (SNR), and identifying optimal frequency spots for network deployment. 

• Familiarity with the integration of network management systems and optimization tools 

• Excellent problem-solving skills, with the ability to develop innovative solutions to complex technical challenges. 

• Effective communication and collaboration skills, with experience in training and supporting network operations teams. 

Desirable: 

• Experience in Unlicensed Band Radio Frequency Management. 

Role Overview:

We are looking to onboard Data Scientists with strong experience in Machine Learning and Deep Learning projects. The ideal candidate should have hands-on experience delivering AI/ML solutions, including Computer Vision and Generative AI systems powered by LLMs (Large Language Models). Familiarity with the Azure cloud ecosystem and a strong Python development background is essential.

Key Responsibilities:

• Design, build, and deploy ML and DL models for various business use cases.
• Develop and fine-tune solutions involving Computer Vision and Natural Language Processing (NLP) using LLMs and Azure OpenAI.
• Work closely with cross-functional teams to understand data requirements and deliver insights and predictions through data-driven solutions.
• Collaborate with MLOps and DevOps teams to deploy models into scalable production environments.
• Maintain code quality, modularity, and reusable components using best practices in Python.
• Experiment with modern deep learning frameworks such as TensorFlow, PyTorch, or HuggingFace Transformers.

Key Skills and Qualifications:

• Strong programming experience in Python (NumPy, Pandas, scikit-learn, TensorFlow/PyTorch).
• Solid knowledge of Machine Learning and Deep Learning techniques.
• Hands-on experience with Computer Vision, image classification, object detection, etc.
• Proficiency in working with LLMs and Azure OpenAI Services.
• Understanding of the Azure ecosystem (Azure ML, Azure Storage, Azure Functions, etc.).
• Experience in training, evaluating, and optimizing ML/DL models.
• Exposure to MLOps workflows and model lifecycle management is a plus.
• Strong problem-solving skills, ability to work independently and in teams.

Educational Background:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.

Compensation:
Salary: 8 LPA - 10 LPA.

Job responsibilities and duties include:   - Plan, manage and execute projects with technical expertise, including developing project plans with timelines, budgets, and resource allocation, monitoring project progress using technical project management tools, conducting regular status meetings with project teams and stakeholders, and ensuring successful project delivery within ThirdEye’s quality standards. - Manage and foster strong client relationships with ThirdEye’s US, Canadian, and Indian customers by employing technical expertise in addressing project related issues and risks, and providing regular updates on progress, milestones achieved, and concerns. - Leverage technical skills in machine learning, deep learning, computer vision, natural language processing, and predictive analytics to develop and implement data-driven solutions that meet clients’ business needs. - Collaborate with the sales and marketing team to identify potential client needs and prepare project proposals and presentations that showcase ThirdEye’s technical capabilities in AI and big data. - Identify and pursue new business opportunities by working with the sales and marketing team and showcase ThirdEye’s AI and big data expertise through technical presentations to prospective clients. - Collaborate with the project management and operations team to streamline project management processes and tools while providing support to the sales and marketing team in developing technical marketing materials, participating in technical sales calls, and conducting technical client meetings.   Supervision: 7 reports including: Software Developers, Data Scientist, Data Engineers.   Minimum Requirements:      Master’s degree in Computer Science, Business Analytics, or any related field of study and 2 Years of experience in the job offered or in any related position(s) in which the required experience was gained. Experience must have included 2 years in a role leading data science and engineering teams with at least 2 team members.   Certification required: PMP certification (Project Management Professional) Qualified applicants must also have demonstrable proficiency, skill, experience, or knowledge with the following:   1.   Managing Data Science and AI-focused projects. 2.   Managing client relationships in key account management in Data and AI Projects. 3.   Agile Project Management methodology with a focus on data and AI Project delivery. 4.   At least one of the following for data and AI projects: Jira, Asana, or MS Project. 5.   Using Cloud computing platforms with a focus on data storage, processing, and analytics services. 6.   Programming languages: Python, R, and SQL. 7.   Using Azure Cloud for data storage, processing, and analytics services. 8.   Utilizing PowerBI for data visualization and business intelligence to communicate insights from data. 9.   Developing and implementing data-driven solutions using machine learning, artificial intelligence, and business intelligence with Azure Machine Learning, Azure AI services, and Power BI. Additional Information: - Job Site: 333 West San Carlos Street, Ste. 600, San Jose, CA 95110 - Travel: No Travel. No telecommuting.  Job duties are project-based and performed on long-term assignments at various unanticipated sites within the U.S. which may require relocation at the end of each project.. - Send Resumes To: Third Eye Consulting Services & Solutions, LLC, Attn: HR, 333 W. San Carlos Street, Ste. 600, San Jose, CA 95110 - EOE. - Must be legally authorized to work in the United States without sponsorship

#LI-DNI

Job Description: We are seeking a highly skilled and experienced Senior Data Scientist to join our team. The ideal candidate will have a deep understanding of Artificial Intelligence (AI), Large Language Models (LLM), and Machine Learning (ML). In this role, you will be responsible for designing, developing, and deploying advanced machine learning models to solve complex business problems. You will work closely with data engineers, business stakeholders, and other teams to deliver data-driven solutions and innovative AI models that drive business value. 

Key Responsibilities: 

• Lead the design, development, and implementation of machine learning models, AI algorithms, and Large Language Models (LLMs) for various business applications. 

• Collaborate with cross-functional teams (product, engineering, business) to understand the problem domain and define model objectives. 

• Analyze large datasets to identify patterns, trends, and insights, and use these findings to develop predictive models and actionable business solutions. 

• Build, test, and refine machine learning models using state-of-the-art techniques, including supervised and unsupervised learning, reinforcement learning, deep learning, and natural language processing (NLP). 

• Develop and optimize LLMs (e.g., GPT, BERT, etc.) to improve language understanding, text generation, and other NLP applications. 

• Mentor and guide junior data scientists and data engineers, sharing knowledge on best practices and innovative techniques. 

• Conduct research to stay up-to-date with the latest advancements in AI, LLMs, ML algorithms, and data science tools. 

• Present findings, insights, and model performance to non-technical stakeholders, translating complex results into actionable recommendations. 

• Continuously monitor and evaluate model performance in production, refining and improving as necessary. 

• Work with data infrastructure teams to ensure the appropriate data pipelines, architectures, and tools are in place to support machine learning models at scale. 

Key Skills and Qualifications: 

• AI and Machine Learning Expertise: In-depth knowledge of machine learning algorithms, statistical methods, and deep learning frameworks (TensorFlow, PyTorch, Keras). 

• Large Language Models (LLM): Experience working with and fine-tuning LLMs such as GPT, BERT, and other transformer-based models for various NLP tasks (text generation, sentiment analysis, summarization, etc.). 

• Programming Languages: Proficiency in Python and libraries such as NumPy, Pandas, scikit-learn, and NLTK. Familiarity with R, Java, or Scala is a plus. 

• Data Processing and Analysis: Strong skills in data wrangling, cleaning, and transformation using tools such as SQL, Hadoop, Spark, or similar technologies. 

• Cloud Technologies: Experience with cloud platforms like AWS, Google Cloud, or Azure, and tools for scaling ML models. 

• Big Data: Knowledge of distributed computing, big data technologies (Hadoop, Spark), and working with large-scale datasets. 

• Model Deployment and Monitoring: Experience deploying models in production environments (e.g., Docker, Kubernetes, ML flow, SageMaker) and monitoring model performance. 

• Natural Language Processing (NLP): Solid background in NLP techniques, including text classification, named entity recognition (NER), topic modeling, and sentiment analysis. 

• Problem Solving and Critical Thinking: Ability to break down complex problems into manageable tasks and develop data-driven solutions that meet business needs. 

• Communication Skills: Excellent written and verbal communication skills, with the ability to present complex technical concepts to non-technical stakeholders. 

• Education: Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field, or equivalent work experience. 

Preferred Qualifications: 

• Experience with reinforcement learning, generative models, or advanced AI techniques. 

• Published research in machine learning or AI journals/conferences. 

• Experience working in an agile environment with cross-functional teams. 

Hourly rate: $55 to $60 per hour

Responsibilities

• Develop and implement machine learning models focused on anomaly detection in
  industrial IoT data.
• Design algorithms for predictive maintenance and condition monitoring.
• Work closely with data engineers to create robust data pipelines for real-time analytics.
• Analyze large datasets, extract insights, and provide actionable recommendations.
• Optimize models to improve detection accuracy and reduce false positives.
• Stay updated on the latest research and advancements in anomaly detection
  techniques.
  Qualifications
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 5+ years of hands-on experience in machine learning, with a focus on anomaly
  detection.
• Strong expertise in time-series analysis, clustering, and anomaly detection techniques.
• Proficiency in Python, R, or similar programming languages.
• Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Knowledge of IoT data and predictive maintenance is a strong plus.
• Excellent analytical and problem-solving skills.
  Preferred Skills
• Experience with unsupervised learning techniques for anomaly detection.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud).
• Background in condition monitoring or predictive analytics for industrial applications.

Responsibilities

• Develop and deploy conversational AI systems, including ChatGPT-style interfaces, for
  industrial use cases.
• Fine-tune Large Language Models (LLMs) for domain-specific applications.
• Work with cross-functional teams to integrate AI-driven interfaces into existing systems.
• Create intuitive, user-friendly chat interfaces that provide actionable insights from IoT
  and ML systems.
• Optimize and test conversational models for performance and reliability.
• Conduct research to improve natural language understanding (NLU) and generation
  (NLG).
  Qualifications
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related
  field.
• 5+ years of experience in building conversational AI systems.
• Strong expertise in NLP frameworks (e.g., Hugging Face Transformers, OpenAI API).
• Experience in fine-tuning and deploying LLMs for real-world applications.
• Proficiency in Python and familiarity with frameworks like TensorFlow or PyTorch.
• Solid understanding of prompt engineering and transfer learning techniques.
  Preferred Skills
• Knowledge of integrating conversational AI with IoT platforms.
• Hands-on experience with chat interface design and deployment.
• Familiarity with industrial data systems and AI-driven dashboards

We are looking for an experienced Oracle Solution Architect with over 15 years of experience to lead our Oracle solutions delivery and manage large-scale projects. The ideal candidate will have extensive knowledge of Oracle technologies, strong leadership skills, and a proven track record of successfully implementing and managing Oracle applications. This role requires a strategic thinker who can design comprehensive Oracle solutions, oversee end-to-end project delivery, and ensure alignment with business objectives.

Key Responsibilities:

1. Solution Architecture and Design:
   • Lead the design and architecture of complex Oracle solutions, including Oracle ERP, Oracle Cloud, Oracle E-Business Suite, and other Oracle applications.
   • Develop comprehensive solution architectures that address business requirements, ensuring scalability, reliability, and security.
   • Collaborate with business stakeholders to understand their needs and translate them into effective Oracle solutions.
2. Program Management:
   • Oversee the delivery of large-scale Oracle implementation projects, managing all aspects of the project lifecycle from initiation to closure.
   • Develop and manage detailed project plans, including scope, timelines, resources, budget, and risk management.
   • Ensure projects are delivered on time, within budget, and to the highest quality standards.
3. Stakeholder Management:
   • Build strong relationships with business stakeholders, understanding their strategic goals and ensuring Oracle solutions align with their objectives.
   • Communicate project status, risks, and issues to stakeholders, providing regular updates and ensuring transparency.
   • Manage expectations and foster collaboration between business units, IT teams, and external partners.
4. Team Leadership and Development:
   • Lead and mentor a team of Oracle consultants, developers, and analysts, providing guidance and support to ensure successful project delivery.
   • Foster a culture of continuous learning and improvement, encouraging team members to develop their skills and expertise in Oracle technologies.
   • Conduct performance evaluations, provide feedback, and support career development for team members.
5. Technology and Innovation:
   • Stay updated with the latest Oracle technologies, tools, and best practices, ensuring the organization leverages the most effective solutions.
   • Identify opportunities for innovation and process improvement, proposing new technologies and solutions to enhance business operations.
   • Lead initiatives to adopt and implement new Oracle features and capabilities, ensuring the organization remains competitive.
6. Quality Assurance and Compliance:
   • Ensure all Oracle solutions meet quality standards, regulatory requirements, and compliance guidelines.
   • Develop and enforce best practices, standards, and guidelines for Oracle solution development and deployment.
   • Conduct regular audits and reviews of Oracle solutions to ensure continuous improvement and adherence to standards.