We are looking for a highly skilled and experienced Senior Gen AI engineer to spearhead AI/ML initiatives and oversee the development of advanced machine learning models, deep learning architectures, and generative AI systems. The ideal candidate will have 7-8 years of hands-on experience in data science, machine learning, and data engineering, with a strong focus on leadership, innovation, and generative AI technologies. You will be responsible for guiding a team, delivering AI solutions, and collaborating with cross-functional stakeholders to meet business goals. The desired candidate should be well versed in AI/ML solutioning and should have worked on end to end Product Deliveries.
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Lead the development and deployment of machine learning models, deep learning frameworks, and AI-driven solutions across the organization.
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Work closely with stakeholders to define data-driven strategies and drive innovation using AI and machine learning.
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Design and implement robust data pipelines and workflows in collaboration with data engineers and software developers.
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Develop and deploy APIs using web frameworks for seamless integration of AI/ML models into production environments.
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Mentor and lead a team of data scientists and engineers, providing technical guidance and fostering professional growth.
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Leverage LangChain or LlamaIndex to enhance model integration, document management, and data retrieval capabilities.
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Lead projects in Generative AI technologies, such as Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and AI agents, to create innovative AI-driven products and services.
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Stay updated on the latest AI/ML trends, ensuring that cutting-edge methodologies are adopted across projects.
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Collaborate with cross-functional teams to translate business problems into technical solutions and communicate findings effectively to both technical and non-technical stakeholders.
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Experience: 6-7 years of experience in data science and AI/ML, with a strong foundation in machine learning, deep learning, generative AI and data engineering.
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Generative AI Expertise: Minimum 2+ years of experience with generative AI. Hands-on experience with LLMs, RAG, and AI agents.
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AI Agents & Frameworks: Hands-on experience with AI agent frameworks/libraries (e.g., AutoGen, CrewAI, OpenAI's Function Calling, Semantic Kernel, etc.).
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Programming: Strong proficiency in Python, with experience using TensorFlow, PyTorch, and Scikit-learn.
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LangChain & LlamaIndex: Experience integrating LLMs with structured and unstructured data.
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Knowledge Graphs: Expertise in building and utilizing Knowledge Graphs for AI-driven applications.
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SQL & NoSQL Databases: Hands-on experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, etc.).
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API Development: Experience in developing APIs using Flask, FastAPI, or Django.
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Cloud & MLOps: Experience working with AWS, GCP, Azure and MLOps best practices.
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Excellent communication, leadership, and project management skills.
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Strong problem-solving ability with a focus on delivering scalable, impactful solutions.
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Experience with Computer Vision applications.
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Chain of Thought Reasoning: Familiarity with CoT prompting and reasoning techniques.
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Ontology: Understanding of ontologies for knowledge representation in AI systems.
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Data Engineering: Experience with ETL pipelines and data engineering workflows.
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Familiarity with big data tools like Spark, Hadoop, or distributed computing.
