Job Description
REQUIREMENTS: Total experience: 9+ Years Strong working experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI. Must have experience in AI/ML architecture design and implementation in data / big data using cloud infrastructure. Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy). Strong understanding of statistical concepts and techniques, and experience applying them to real-world problems. Strong programming skills in Python, and proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX, as well as machine learning libraries such as scikit-learn. Should have experience in SQL. Should have understanding of MLOps and at least one deployment using some of the following technologies: MLflow, Kubeflow, Docker, Kubernetes, model deployment pipelines. Should have designed, developed, and deployed a few AI agents as part of multi-agent systems for autonomous/semi-autonomous decision-making and agent orchestration. Strong understanding of LLMs and foundation models with an expertise in designing and building prompts for prompt development and templates. Practical experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG), and the ability to apply them to real-world problems. Excellent problem-solving skills, with a creative and analytical mindset. Strong communication and teamwork skills, with the ability to work effectively in a team environment and interact with stakeholders at all levels. Experience with AI ethics and responsible AI practices RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being abl
