Noida, Uttar Pradesh, India
Information Technology
Full-Time
The IT Firm
Overview
Databricks Expert / AI Engineer
Job Description
We are looking for a highly skilled and passionate Databricks Expert / AI Engineer to join our fast-paced, innovation-driven startup. The ideal candidate should have hands-on experience with LLM models like LLAMA, Vector Database integration, PostgreSQL, and end-to-end application development using modern AI toolsets. Youll play a crucial role in building intelligent, data-driven applications that are production-ready and scalable.
Key Responsibilities
Job Description
We are looking for a highly skilled and passionate Databricks Expert / AI Engineer to join our fast-paced, innovation-driven startup. The ideal candidate should have hands-on experience with LLM models like LLAMA, Vector Database integration, PostgreSQL, and end-to-end application development using modern AI toolsets. Youll play a crucial role in building intelligent, data-driven applications that are production-ready and scalable.
Key Responsibilities
- Work closely with data scientists and product teams to build and scale AI applications using Databricks.
- Fine-tune and deploy LLM models (LLAMA or similar) to solve real-world problems.
- Integrate and manage Vector Databases (e.g., FAISS, Pinecone, Weaviate) for efficient semantic search and retrieval tasks.
- Develop robust Python scripts and backend services to support AI workflows and data pipelines.
- Optimize and manage PostgreSQL databases for model data storage and feature engineering.
- Contribute to designing microservices and APIs for integrating AI capabilities into applications.
- Handle the entire ML lifecyclefrom experimentation to deployment using Databricks ML, MLflow, or SageMaker.
- Deliver MVPs and product enhancements quickly, adapting to changes in a fast-moving startup environment.
- Collaborate in an Agile development cycle and contribute to a DevOps-friendly stack.
- 5+ years of experience in data engineering, machine learning, or AI application development.
- Strong expertise in Databricks platform, Spark, and distributed data processing.
- Hands-on experience with LLMs (preferably LLAMA) and LangChain or similar frameworks.
- Proficiency in Vector Databases and retrieval-augmented generation (RAG) pipelines.
- Strong command of Python with experience in building scalable backend logic and automation scripts.
- Familiarity with PostgreSQL, data modeling, and query optimization.
- Knowledge of CI/CD, containerization (Docker/Kubernetes), and cloud platforms (AWS/Azure/GCP).
- Experience working in a startup or agile environment, with the ability to deliver rapid Qualifications :
- Exposure to MLOps tools and practices.
- Experience with transformer-based models, Hugging Face libraries, or similar NLP stacks.
- Knowledge of streaming data pipelines (Kafka, Spark Streaming) is a plus.
- Prior experience in building AI-powered applications or tools in production.
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