We are Hiring: Senior Engineer – AI/ML

1 week ago

Delhi, India Strive4X Infotech Private Limited Full time

We are Hiring: Senior Engineer – AI/ML (Databricks Certified) | 8+ Years | Remote | Full-TimeWe’re looking for a highly skilled AI/ML Engineer with proven expertise in developing, deploying, and optimizing AI models on the MosaicAI Databricks platform for one of our client.If you’re passionate about building next-gen AI systems on distributed data platforms, this is a great opportunity to join a dynamic and forward-thinking teamLocation: Remote (India)Employment Type: Full-TimeExperience: 8+ Years⚡ Immediate Joiners Preferred (Notice period ≤ 15 days)Key Responsibilities- Generative AI: Experience of LLM-based solutions (LlamaIndex, LangChain, RAG pipelines, or similar frameworks). Ability to integrate GenAI and Agentic AI into business workflows.- Design and implement end-to-end Generative AI solutions on Databricks, leveraging Unity Catalog, MLflow, Delta Lake, and Vector Search- Design, build, and deploy large-scale AI/ML models using the Databricks environment.- Implement data validation, lineage, and monitoring using Delta Live Tables and Unity Catalog.- Leverage Databricks’ data engineering workflows for feature engineering, model training, and evaluation.- Optimize training pipelines for efficiency, scalability, and accuracy.- Integrate AI models into production systems using APIs and microservices.- Build reusable ML pipelines using Databricks Repos, MLflow, and Feature Store.- Implement robust testing, monitoring, and retraining protocols for deployed models.- Ensure adherence to compliance, security, and performance standards.- Stay updated on advancements in AI frameworks, distributed computing, and Databricks platform updates.Required Skills & Qualifications- Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.- Cerified Databricks Certified Generative AI Engineer- Proven experience developing AI solutions on Databricks.- Strong knowledge of Python, PySpark, MLflow, Spark and Databricks Notebooks.- Strong understanding and knowlege of Databricks platform features such as Unity Catalog, DLT, MosaicAI, Data Assets Bundles, etc.- Experience with Transformer-based models, generative AI, and Databricks pipelines.- Proficiency in integrating AI models with cloud-native architectures (AWS, Azure, or GCP).- Solid understanding of MLOps practices, Data Assets bundles (CI/CD), and containerization (Docker, Kubernetes) on Databricks Platform.- Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG).- Strong problem-solving, analytical thinking, and communication skills.Interested?Please share your updated profile at with the following details:- Position Applied For- Name- Mobile Number- Total Experience- Current & Expected CTC- Notice Period (should be ≤ 15 days)- Current Location- Are you Databricks Certified? (Yes/No)- Do you have a valid PF

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