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The Python Gen AI Developer role involves designing and optimizing generative AI models using frameworks like TensorFlow and PyTorch. Candidates should have strong Python skills and experience with generative AI models, cloud platforms, and machine learning algorithms. This position requires collaboration with cross-functional teams to integrate AI solutions into production systems.
Job Responsibility:
Design, implement, and optimize generative AI models using frameworks like TensorFlow, PyTorch, or JAX.
Research and implement machine learning algorithms and tools
Integrate generative AI models into production systems and applications, often involving APIs, microservices, and cloud platforms (AWS, Azure, GCP).
Manage and direct research and development processes to meet the needs of our AI strategy
Develop machine learning applications in alignment with project requirements and business goals
Perform machine learning tests and statistical analysis to fine-tune the machine learning systems
Select appropriate datasets and data representation methods
Extend existing machine learning libraries and frameworks
Train systems and retrain as necessary
Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions
Requirements:
3+ Years of Python coding skills and python libraries (like NumPy, Pandas etc.)
2+ Years of experience working with generative AI models (GANs, VAEs, LLMs) and their underlying principles
2+ years of experience on any of the Python web development frameworks (FastAPI, Flask, Django)
2+ years of experience in using Neo4J, Mongo DB
Overall 5+ years of experience.
Strong communication skills.
Experience in working as part of scrum team with knowledge of related ceremonies.
Understanding and experience on Gen AI implementations
Experience on Langchain, Vector DB, Embeddings or related frameworks
Experience on AI/ML model implementations using scikit learn, Tensor flow etc.