• Experience: Minimum of 4-15 years of experience as a ML Engineer in complex, large-scale data environments. • Certification: GCP Professional ML engineer ( or equivalent AWS or Azure), • Responsibilities • • Develop and implement Generative AI / AI solutions on Google Cloud Platform • • Work with cross-functional teams to design and deliver AI-powered products and services • • Work on developing, versioning and executing Python code • • Deploy models as endpoints in Dev Environment • Solid understanding of python • Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX • Experience with natural language processing (NLP) and machine learning (ML) • Experience on Cloud storage, compute engine, VertexAI, Cloud Function, Pub/Sub, Vertex AI etc • Hands on experience with Generative AI support in Vertex, specifically handson experience with Generative AI models like Gemini, vertex Search etc • Familiarity with Prompt Design and prompt tuning for Generative AI models • Ability to work on Vector Data Stores, custom embeddings and generate insights based on embeddings • Exposure and familiarity in developing endpoints and frameworks like Flask or FastAPI • Exposure and familiarity in using BigQuery (Basic understanding) • Hands-on experience with using LangChain - Chain of Thoughts, tools, simple and sequential chain • Soft Skills: Strong problem-solving skills, excellent communication, and the ability to work in a collaborative team environment. • Analytical Mindset: Ability to translate business requirements into scalable, efficient, and reliable ETL solutions. • Knowledge on AI/ML/GEN AI is desirable
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