Thoughtworks

SeniorMachineLearningEngineer

₹22–35L ~AI est. Bangalore, India Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Machine Learning Engineer at Thoughtworks. Skills: Machine Learning, MLOps, Scalable architectures, Cloud infrastructure. Contribute to design of scalable architectures. Drive development of scalable architectures”

What You'll Achieve.

Timely delivery

Industry & Context.

Problems you'll solve

Problem solving

Eligibility Requirements

Business travel expected

What They're Looking For.

Must Have

Writing clean, maintainable, testable code, Proficient in Python or Shell scripting, Knowledge of distributed systems, Experience building/deploying/maintaining ML systems, Experience with MLOps principles, Familiar with ML concepts, algorithms, frameworks, Experience designing/operating ML infrastructure, Hands-on experience with on-premise/cloud ML pipelines

Nice to Have

Experience with Scikit-learn, Experience with Tensorflow, Experience with MLFlow, Experience with Kubeflow, Experience with Pytorch, Experience with Azure, Experience with AWS, Experience with GCP, Experience with Databricks

What You'll Do.

Contribute to design of scalable architectures

Drive development of scalable architectures

Manage infrastructure for ML applications

Ensure high availability

Collaborate with data scientists

Collaborate with engineers

Translate business needs

Own development of core functionalities

Maintain core functionalities

Develop model training

Develop model deployment

Drive functional stream

Provide technical expertise

Handle team discussions

Ensure timely delivery

Implement latest tools

Explore latest frameworks

Implement latest frameworks

Explore latest offerings

Implement latest offerings

Facilitate collaborative problem solving

Communicate effectively

Mentor other engineers

Contribute to ML strategy

Align technical capabilities

Align business objectives

Implement improvements

How You'll Work.

Team & Collaboration

Collaborative problem solving; Team discussions

Communication Scope

Communicate effectively

Full Job Description

Senior Machine Learning Engineers at Thoughtworks build, maintain and test the architecture and infrastructure for managing machine learning applications. They are involved in supporting and contributing to the design of the end-to-end applications and products. They are responsible for building core capabilities including technical and functional machine learning systems and applications, being the anchor for functional streams of work and are accountable for timely delivery. As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy. Job responsibilities You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications You will own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation You will drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks You will stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape You will facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers You will contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives You will proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements Job qualifications Technical

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