Senior ML & AI Technical Solutions Engineer

Databricks
Bengaluru
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Communication","Problem-solving","Team collaboration"]

Senior ML & AI Technical Solutions Engineer who diagnoses and resolves complex data, ML, and AI workloads on the Databricks platform. You will guide customers through end-to-end production pipelines, optimize performance and cost, and collaborate with engineering and account teams to influence product improvements and expand adoption of GenAI, LLMs, and vector-based AI workloads.

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FursaFursa
Databricks
Databricks
1 year ago

Senior ML & AI Technical Solutions Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Senior ML & AI Technical Solutions Engineer who diagnoses and resolves complex data, ML, and AI workloads on the Databricks platform. You will guide customers through end-to-end production pipelines, optimize performance and cost, and collaborate with engineering and account teams to influence product improvements and expand adoption of GenAI, LLMs, and vector-based AI workloads.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Act as a senior technical solution expert for complex data, ML, and AI workloads across production pipelines and distributed systems
  • •Analyze and troubleshoot production workloads at the code level, optimizing performance, reliability, latency, and cost
  • •Diagnose and support ML and LLM deployments including real-time and batch inference, autoscaling, monitoring, logging, and alerting
  • •Provide high-quality support by guiding customers to leverage Databricks AI for generative AI use cases, including vectors, semantic search, and tool integrations
  • •Collaborate with internal teams to influence roadmap, product improvements, and support business growth

Key Requirements

  • •8+ years of experience designing, building, and scaling data, machine learning, and AI systems in production environments using Python, Scala, and Java
  • •Experience with cloud platforms (AWS, Azure, or GCP) and familiarity with Databricks
  • •Proficient in data engineering for end-to-end ML training pipelines and large-scale data processing with Apache Spark
  • •Knowledge of feature engineering, ML frameworks, model training, monitoring, drift detection, and retraining strategies; NLP techniques
  • •Experience with building or troubleshooting LLM-based Generative AI applications; familiarity with agentic frameworks (e.g., LangChain, LangGraph) and context orchestration
Experience:Data scienceMachine learningAiCloud
Education:Bachelor's
Skills:CommunicationProblem-solvingTeam collaboration
Languages:English
Tech Stack:PythonScalaJavaAWSAzureGCPApache SparkLangChainLangGraphLLMsMLOpsLLMOpsVector Search

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn