Databricks: Senior ML & AI Technical Solutions Engineer — Bengaluru, India

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists Senior ML & AI Technical Solutions Engineer in Bengaluru, India, under reference 7845325002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Support
• Employer listing date: 5 February 2025

Responsibilities and work described

• Act as senior technical solution expert for complex issues spanning data pipelines, ML pipelines and/or AI applications, applying deep expertise in distributed systems
• Analysis: and troubleshoot production workloads at the code level, optimise for performance, reliability, latency, and cost
• Diagnose and support Machine Learning and/or Large Language Model deployments, including real-time and batch inference, autoscaling, monitoring, logging, and alerting
• Serve as a Subject Matter Expert guiding customers on experiment tracking, model registry, versioning, evaluation, labelling, tracing, and lifecycle observability
• Collaboration: with internal teams to influence roadmap, product improvements and support business growth

Essential requirements and candidate background

• 8+ years of experience designing, building, and scaling Data, Machine Learning, and AI systems on-premises and in the cloud using Python, Scala, and Java in production environments, with expertise in Machine Learning and/or generative AI
• Proficiency: data engineering necessary for orchestrating end-to-end machine learning training pipelines, ideally with experience processing large datasets with Apache Spark
• SME knowledge in feature engineering, ML frameworks, model training, model monitoring, drift detection, and retraining strategies
• Proficiency: working with algorithms and deep learning, along with NLP techniques
• Prior experience building, designing or troubleshooting LLM-based Generative AI applications
• Familiarity: agentic frameworks (e.g., LangChain, LangGraph etc)
• Expertise in context orchestration, including prompt design, memory management, retrieval systems, vector embeddings, semantic search, and tool integrations
• Comprehensive Knowledge of MLOps and LLMOps with expertise in model evaluation, scoring, ranking, optimisation, training, validation, and packaging
• Prior support or customer-facing experience is not required for this role, but the ability and desire to develop customer service skills are
• Prior experience in Data Scientist, ML Engineer, or AI Engineer roles is highly valued
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• Professional certifications are good to have

Preferred experience and additional strengths

• Experience: cloud platforms (AWS, Azure, or GCP); familiarity with Databricks is a plus
• Experience developing agent skills, plugins, and debugging with native AI capabilities is a plus

Location, schedule and contract conditions

• Advertised location: Bengaluru, India

Benefits mentioned by the employer

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
• For specific details on the benefits offered in your region click here

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior ML & AI Technical Solutions Engineer vacancy is not an offer for reference 7845325002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 7845325002.

Compare your qualifications and experience with the essential conditions for the Bengaluru, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• Java
• Spark
• AWS
• GCP
• Azure
• MCP
• APIs
• AI/ML
• LLMs
• Google Cloud
• Excel
• machine learning
• AI