AI/ML engineer
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Role details
Tech stack
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Requirements
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6 8 years of Handson experience with Generative AI AI ML and Data Science technologies
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Extensive Handson experience in implementing end to end projects utilizing Generative AI
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Experience in building production grade solutions utilizing Generative AI as well as AI and ML components
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Extensive Handson experience in building Generative AI application using methodologies such as RAG prompt engineering embedding fine tuning etc
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Experience in working with structured as well as unstructured data for building RAG based solutions
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Experience with Al ML search and data services within GCP ecosystem such as GCP Vertex AI Vertex AI Vector Search Gemini Cloud Run Cloud SQL etc
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Experience with agent frameworks such as Google ADK Lang graph Crew AI etc
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Hands on experience in working with cloud AI services GCP Vertex AI Azure AI AWS Bedrock as well as managed large language models Preferred GCP but other cloud experience can be considered
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Extensive experience in Python programming languages along with popular frameworks such as Flask Fast API etc
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Experience with AIML deep learning TensorFlow Python NLP
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Excellent understanding of Generative AI related concepts methodologies and techniques
Experience Qualifications
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Bachelor’s degree in computer science or related field
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5 years AIML experience including 2 years in GenAI projects
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Proficiency with Azure AI services Python
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Experience with agent-based frameworks LangChainLangGraph is highly desirable
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Solid understanding of API integration test automation and software engineering principles
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Good teamwork and communication skills
Skills
- Mandatory Skills: MLOPS, GenAI - LLMOps, Machine Learning - AIOPS
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