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Senior Generative AI Engineer (Databricks,Data Lake)

Senior Generative AI Engineer (Databricks,Data Lake)

AmpstekVisakhapatnam, IN
7 hours ago
Job description

Title : Senior Generative AI Engineer (Databricks,Data Lake)

Location : 100% Remote

Job Type : Fulltime

Key Responsibilities

  • Design and implement GenAI models (LLMs, multimodal, embeddings, and fine-tuning) for enterprise use cases.
  • Architect and optimize data pipelines and workflows in Databricks for large-scale AI training and inference.
  • Manage and maintain data lakes on Databricks, ensuring data quality, governance, and scalability for AI workloads.
  • Collaborate with data scientists, ML engineers, and product teams to translate business problems into AI-driven solutions.
  • Implement MLOps pipelines for model deployment, monitoring, and lifecycle management in Databricks.
  • Explore and evaluate state-of-the-art GenAI techniques and integrate them into scalable architectures.
  • Optimize performance, scalability, and cost-effectiveness of AI systems in cloud environments (AWS / Azure / GCP).
  • Contribute to technical strategy, mentorship, and best practices in AI and data engineering.

Required Qualifications

  • 8+ years of professional experience in AI / ML engineering, data engineering, or related roles.
  • Strong expertise with Databricks platform, including :

    • o Databricks Workflows & Delta Lake

    o Databricks ML Runtime & MLflow

    o Databricks SQL

  • Hands-on experience designing and managing data lakes at enterprise scale.
  • Proficiency in Python (PySpark, Pandas, ML / AI libraries) and SQL.
  • Solid background in Machine Learning, Deep Learning, and Generative AI frameworks (e.g., Hugging Face, LangChain, OpenAI APIs, TensorFlow, PyTorch).
  • Experience with MLOps practices, CI / CD pipelines, and cloud-native deployments.
  • Strong knowledge of cloud platforms (AWS, Azure, or GCP) and data services.
  • Excellent problem-solving skills and ability to design scalable AI solutions for complex datasets.

    • Preferred Qualifications

  • Databricks certifications (e.g., Databricks Certified Data Engineer Professional, Machine Learning Professional).
  • Experience with vector databases (Pinecone, Weaviate, FAISS, Chroma).
  • Experience with fine-tuning LLMs and integrating RAG (Retrieval-Augmented Generation) pipelines.
  • Background in data governance, lineage, and compliance in large-scale AI systems.
  • Contributions to open-source AI / ML projects or publications in the AI community.

    • Thanks

    Vijay

    Vijay.kumar@ampstek.com

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    Generative Ai Engineer • Visakhapatnam, IN