Senior Python AI/ML Developer

Role Overview: As a member of the team, your role will involve implementing proof of concepts in Engineering Systems and other innovative fields where ML/AI technologies can be applied. You will be responsible for realizing ML/AI product features through coding features, POCs, and bug-fixing while delivering solutions that adhere to coding and quality guidelines. Your primary responsibilities will include the implementation of features and bug-fixing, ensuring the delivery of high-quality solutions in accordance with coding guidelines and within committed timelines. Additionally, you will be in charge of identifying and implementing unit and integration tests to ensure that the solution meets customer requirements, quality standards, and security requirements of the product. Your role will also involve integrating and submitting solutions into the software configuration management system on time. Key Responsibilities: - Implement proof of concepts in Engineering Systems and other innovation field topics using ML/AI technologies. - Realize ML/AI product features through coding, POCs, and bug-fixing. - Implement features and bug-fixing while delivering solutions adhering to coding guidelines and quality standards. - Identify and implement unit and integration tests to ensure solution meets customer requirements, quality, and security standards. - Ensure integration and submission of solutions into the software configuration management system within committed delivery timelines. - Utilize Large Language Models (LLMs) such as BERT and LLAMA. - Develop language models by utilizing off-the-shelf LLM services like Azure OpenAI and integrating LLM capabilities into applications. - Train and fine-tune language models using appropriate machine-learning frameworks and tools. Qualifications Required: - B.E./B.Tech/MCA/M.Tech in Computer Science. - 5 years of experience in: - Strong programming ability in scripting and object-oriented programming languages, particularly Python. - Strong working knowledge in Deep learning and ML Algorithms. - Strong working knowledge in TensorFlow, Sci-kit Learn, KERAS, Caffe, Pandas, NumPy, PyTorch, Matplotlib. - Knowledge in Natural Language Processing (NLP) & Deep Learning. - Software Design & Development experience with OOPS/OOAD methodologies. (Note: No additional details about the company were provided in the job description.),