Weekday AI

AI ML Engineer (Senior)

Bengaluru
Level
Senior

Not stated in the posting: salary, work type, visa.

Open. First seen 27 October 2026.

Apply on the company's site โ†’

About the role

๐—ง๐—ต๐—ถ๐˜€ ๐—ฟ๐—ผ๐—น๐—ฒ ๐—ถ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—ผ๐—ป๐—ฒ ๐—ผ๐—ณ ๐˜๐—ต๐—ฒ ๐—ช๐—ฒ๐—ฒ๐—ธ๐—ฑ๐—ฎ๐˜†'๐˜€ ๐—ฐ๐—น๐—ถ๐—ฒ๐—ป๐˜๐˜€

๐—ฆ๐—ฎ๐—น๐—ฎ๐—ฟ๐˜† ๐—ฟ๐—ฎ๐—ป๐—ด๐—ฒ: ๐—ฅ๐˜€ ๐Ÿด๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ - ๐—ฅ๐˜€ ๐Ÿญ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ (๐—ถ๐—ฒ ๐—œ๐—ก๐—ฅ ๐Ÿด๐Ÿฌ-๐Ÿญ๐Ÿฌ๐Ÿฌ ๐—Ÿ๐—ฃ๐—”)

Experience: 10+ yrs

Location: Bengaluru

As a Senior AI ML Engineer, you will architect and deploy advanced machine learning solutions that power intelligent, agentic systems, driving business value across diverse domains. Leveraging your deep expertise in model development, you will design scalable pipelines, implement stateโ€‘ofโ€‘theโ€‘art algorithms, and transform data into actionable predictions. You will collaborate closely with crossโ€‘functional teams to translate complex requirements into cloudโ€‘native applications, ensuring seamless integration with existing platforms and external APIs.

Your role will also involve mentoring junior talent, championing best practices, and continuously optimizing model performance and system reliability in a fastโ€‘moving, highโ€‘impact environment.

Requirements

๐—ž๐—ฒ๐˜† ๐—ฅ๐—ฒ๐˜€๐—ฝ๐—ผ๐—ป๐˜€๐—ถ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐—ถ๐—ฒ๐˜€

  • Design, prototype, and validate endโ€‘toโ€‘end machine learning workflows from data ingestion to inference.
  • Develop and fineโ€‘tune agentic AI models that autonomously adapt to changing user contexts.
  • Build cloudโ€‘native microservices and APIs to expose ML capabilities for internal and external consumption.
  • Integrate ML models with enterprise platforms such as data lakes, Kubernetes clusters, and eventโ€‘driven architectures.
  • Ensure robust model governance, monitoring, and continuous improvement cycles.
  • Collaborate with data engineering to optimize data pipelines and feature stores.
  • Mentor and guide junior engineers on best practices, coding standards, and model deployment strategies.
  • Conduct performance benchmarking, A/B testing, and scaling studies to meet SLAs.
  • Lead the selection and evaluation of cuttingโ€‘edge ML frameworks and cloud services.
  • Document architecture, code, and operational procedures for maintainability and knowledge transfer.

๐—ช๐—ต๐—ฎ๐˜ ๐— ๐—ฎ๐—ธ๐—ฒ๐˜€ ๐—ฌ๐—ผ๐˜‚ ๐—ฎ ๐—š๐—ฟ๐—ฒ๐—ฎ๐˜ ๐—™๐—ถ๐˜

  • 10+ years of experience in machine learning and data science with a proven track record of production deployments.
  • Deep expertise in building agentic AI solutions using reinforcement learning, NLP, or multimodal models.
  • Proficiency in cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes).
  • Strong background in developing RESTful and gRPC APIs and integrating them with external systems.
  • Handsโ€‘on experience with CI/CD pipelines, automated testing, and model deployment tools.
  • Excellent coding skills in Python, Java, or Go, with familiarity in scalable frameworks such as TensorFlow, PyTorch, or JAX.
  • Demonstrated ability to translate business requirements into technical designs and measurable outcomes.
  • Experience mentoring teams, conducting code reviews, and driving technical excellence.
  • Solid understanding of data privacy, security, and compliance standards in a cloud environment.
  • Passion for staying current with emerging AI technologies and a proactive approach to problem solving.

What this role asks for

Particular to this role

GCP ยท Golang ยท Java ยท Kubernetes ยท Microservices ยท NLP ยท TensorFlow ยท gRPC

Rare in Weekday AI's other 299 open postings.

Standard for data science / ML roles

Machine Learning ยท PyTorch ยท Python

Common in data science / ML postings at any company.

Compared with Weekday AI's other open jobs.

The team: Weekday's Client via platform HIRES STEADILY

This role is one of 306 open in Weekday's Client via platform. 183 were posted in the last 30 days and the oldest in September: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Python (104 of 306), CI/CD (91 of 306), AWS (81 of 306), SQL (80 of 306), Azure (60 of 306), REST (59 of 306), Agile (52 of 306)

OTHER ROLES ON THIS TEAM

From the team and dates on Weekday AI's own job board.

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