🚀 We are Hiring: Senior Engineer – AI/ML (Databricks Certified) | 8+ Years | Remote | Full-Time
We’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 team!
📍 Location: Remote (India)
💼 Employment Type: Full-Time
📅 Experience: 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 career@strive4x.net 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 account?
(Yes/No) - Do you have experience documents for all previous employments?
(Yes/No)
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