Sr. Machine Learning Engineer

phData, India-Bangalore +1

The role

Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
AWS Premier Tier Services Partner – the highest tier of recognition in the AWS Partner Network
2025 Fivetran Partner of the Year (4th consecutive year)
2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
2026 KNIME Customer Excellence Partner of the Year
Preferred Partner in the Anthropic Claude Partner Network
#1 Partner in Snowflake Advanced Certifications
600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
Recognized as an award-winning workplace in the US, India and LATAM

Join phData, a dynamic and innovative leader in the modern agentic era. We don’t just modernize data stacks—we build Intelligence Platforms and AI applications that help clients grow, innovate, and compete. Enterprises are no longer buying “data work”; they are buying intelligence outcomes, and phData is focused on being the partner that builds the platform and delivers those outcomes with AI agents, analytics, and transformed processes.

All jobs

Sr. Machine Learning Engineer

phData, India-Bangalore +1

The role

Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
AWS Premier Tier Services Partner – the highest tier of recognition in the AWS Partner Network
2025 Fivetran Partner of the Year (4th consecutive year)
2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
2026 KNIME Customer Excellence Partner of the Year
Preferred Partner in the Anthropic Claude Partner Network
#1 Partner in Snowflake Advanced Certifications
600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
Recognized as an award-winning workplace in the US, India and LATAM

What you need

About You

You are a hands-on AI learning engineer and collaborative problem solver who enjoys solving ambiguous business problems with AI, creating robust, production-ready solutions. You are comfortable working across the stack—from data pipelines and infrastructure to APIs and monitoring—and partnering directly with forward-deployed engineers, data engineers, platform engineers, and business stakeholders. You thrive in an outcomes-driven environment and want to help build something from the ground up.

Required Qualifications

Experience

4+ years of experience in AI/ML engineering, software engineering, or data engineering roles building and deploying AI/ML solutions to production.
Recent hands-on experience with LLM-powered or agentic applications

Technical / Functional Skills

Hands-on understanding of Large Language Models, agentic architectures, and retrieval frameworks (RAG), including prompt design, context engineering, and tool/function calling
Experience with LLM orchestration frameworks (e.g. LangChain, LlamaIndex) and the broader agentic stack, such as multi-agent patterns, memory, planning, and protocols (e.g. MCP)
Experience designing evaluation, guardrail, and observability strategics for LLM and agent systems (LLMOps/AgentOps)
Hands-on experience in modern programming languages, such as Python, including developing APIs
Deep expertise in cloud-native AI/ML platforms (e.g. AWS Bedrock and SageMaker, Azure AI/ML, Snowflake Cortex) with proven experience deploying solutions into production
Complete software development lifecycle experience including design, documentation, implementation, testing, deployment, and ongoing operations
Demonstrated use of AI-assisted development tooling to accelerate delivery while maintaining quality
Strong working knowledge of SQL, including writing, debugging, and optimizing complex and distributed queries.

Consulting / Delivery Skills

Experience delivering projects for external or internal clients in a professional services, product, or consulting environment.
Ability to break down complex problems into structured, actionable steps and drive them through to completion, ideally in a fixed-bid capacity.
Strong written and verbal communication skills in English, including the ability to explain technical concepts to both technical and non-technical audiences.
Proven experience presenting solutions and working directly with internal and/or external clients.

Education

Bachelor’s degree in Computer Engineering, Computer Science, or a related technical field, or equivalent practical experience preferred

Sr. Machine Learning Engineer

The role

Sr. Machine Learning Engineer

The role

What you need

About You

Experience

Technical / Functional Skills

Consulting / Delivery Skills

Education

Nice to have

Agentic Engineering & Client Delivery

Collaboration & Leadership

Practice & Firm Contribution

Collaboration & Ownership

Pay and benefits

About phData

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