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.