Bengaluru Karnataka Senior ml & ai technical solutions engineer Jobs – 931 Open Jobs Today

Senior ML & AI Technical Solutions Engineer
Databricks —Bengaluru, Karnataka
- Azure
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- Software troubleshooting
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Solventum —Bengaluru, Karnataka
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Portcast —Bengaluru, Karnataka
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Principal AI/ML Engineer
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Technical Product Manager, AI/ML Products
Magna International —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- English
Quick apply
Senior Product Owner – AI/ML
Syncron —Bengaluru, Karnataka
- Hybrid work
- Computer Science
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AI/ML Engineer
Lenskart —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Oracle
- Master's degree
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Senior Platform Engineer
Rifa AI —Bengaluru, Karnataka
- ₹30,00,000 - ₹50,00,000 a year
- Full-time
- Remote
- Computer Science
- APIs
- Leadership
Quick apply
AI/ML Engineer
Solventum —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
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- English
AI Senior Engineer
TELUS Digital —Bengaluru, Karnataka
- APIs
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- Python
Quick apply
Senior Data Engineer
Aldaa —Bangalore City, Bengaluru, Karnataka
- ₹25,00,000 - ₹35,00,000 a year
- Full-time
- Azure
- SQL
- In-person
- Flexible schedule
Quick apply
14d
Senior AI-ML Engineer
Ericsson —Bengaluru, Karnataka
- Databases
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8h
Data Scientist / AI & ML Engineer
Hitachi —Bengaluru, Karnataka
- Full-time
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Head of AI Engineering & Cyber Solutions
Société Générale —Bengaluru, Karnataka
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Lead AI/ML Engineer
Optum —Bengaluru, Karnataka
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13d
Senior Machine Learning Systems Engineering Manager - AI & ML Platform
Atlassian —Bengaluru, Karnataka
- Remote
- Machine learning
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Senior AI Product Manager
Accellor —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Bachelor's degree
- Product management
- Travel
- Health insurance
- Paid time off
Quick apply
Artificial Intelligence and Machine Learning Engineer
Skill Quotient Technologies Inc —Bengaluru, Karnataka
- ₹5,00,000 - ₹24,00,000 a month
- Azure
- Computer Science
- Laboratory experience
- Health insurance
- Paid time off
Quick apply
5d
Senior AI /ML Engineer Data Scientist
rubikssyslabs —Bengaluru, Karnataka
- ₹6,65,828.01 - ₹19,31,110.83 a year
- Full-time
- Machine learning
- In-person
- AI
- Paid sick time
Quick apply
17h

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Senior ML & AI Technical Solutions Engineer

Databricks -
Bengaluru, Karnataka

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Job details

Qualifications

Azure
Law
Computer Science
Software troubleshooting
MCP
Customer service
Spark
Java
Master's degree
AWS
Bachelor's degree
Machine learning
Distributed systems
Scala
Deep learning
Natural language processing
Unity
APIs
AI
Python
Teaching experience
Debugging

Full job description

P-1377

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 productionizing 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.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

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.

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