Senior ML & AI Technical Solutions Engineer

WinsAbove; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

WinsAbove is hiring a Senior ML and AI Technical Solutions Engineer in Bengaluru, India. In this role, you will help customers debug and maintain GenAI and ML workloads, utilizing Databricks. You must have at least 8 years of experience in designing and scaling ML systems, with a strong background in Python, Scala, and cloud services.

The company values diversity and inclusion, providing comprehensive benefits to all employees. This position seeks candidates with a Bachelor's or Master’s degree in a relevant field.

Qualifications

• 8+ years of experience designing, building, and scaling ML and AI systems.
• Familiarity with Databricks is advantageous.
• Experience processing large datasets with Apache Spark.

Responsibilities

• Act as senior technical solution expert for complex ML issues.
• Analyse and optimise production workloads for performance and reliability.
• Guide customers on generative AI use cases and challenges.

Skills

Data pipeline design and scaling

Machine Learning expertise

Generative AI knowledge

Experience with cloud platforms (AWS, Azure, GCP)

Proficiency in Python, Scala, Java

Education

Bachelor’s or Master’s degree in Computer Science, Engineering or related field

Tools

Apache Spark

Databricks

Job description

Mission

As a Senior ML and AI Technical Solutions Engineer, you play a critical role by helping customers debug and maintain stable GenAI and ML workloads with AI agent systems using the Databricks Platform. You will develop product expertise end‑to‑end by advising a broad set of customers and use cases across the space – including products such as Agent Bricks, Vector Search and Model Serving. You will collaborate cross‑functionally with other teams – whether that’s working with engineering to improve the product or interacting directly with the account team on a specific customer issue. TSEs have proven production troubleshooting and optimisation experience to help our customers’ workloads run smoothly and to achieve their strategic objectives with ML/AI technology with Databricks. Additionally, you are an early adopter of GenAI technology to improve your own efficiency and amplify the team's output. Reporting to a TSE manager – you will be part of a world‑class global support engineering organization for Databricks, known for your technical depth and delivering impeccable customer service.

The Impact You Will Have

• Act as senior technical solution expert for complex issues spanning data pipelines, ML pipelines and/or AI applications, applying deep expertise in distributed systems.
• Analyse 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.
• Provide high‑quality support by guiding customers in leveraging Databricks AI to solve generative AI use cases & challenges, leveraging LLMs, MCP, AI Agents, RAG/Agentic RAG, APIs, vector embeddings, semantic search, Vector Search/Lakebase databases, context orchestration, memory management, and prompt engineering.
• Collaborate with internal teams to influence roadmap, product improvements and support business growth.
• Develop expertise in productionising systems in Databricks and share your knowledge by contributing to wikis and other technical documentation, or by teaching our AI systems new skills, which will be used internally and externally by customers and partners.

What We Look For

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. Experience with cloud platforms (AWS, Azure, or GCP); familiarity with Databricks is a plus. Proficient in 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. Proficient in working with algorithms and deep learning, along with NLP techniques.
• Prior experience building, designing or troubleshooting LLM‑based Generative AI applications. Familiarity with 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.
• Experience developing agent skills, plugins, and debugging with native AI capabilities is a plus.
• Prior support or customer‑facing experience is not required for this role, but the ability and desire to develop excellent 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.

Benefits

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

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.