Data scientist jobs in Bangalore

About the Client

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About the Team

We’re looking for a skilled Senior Backend Engineer to join our GraphQL API platform team.

In this role, you’ll focus on migrating legacy Python services to Go within our GraphQL API services. Experience with GraphQL, including  GraphQL Federation and Apollo Router, is a strong plus. You'll use internal tools and processes developed by the GraphQL team to accelerate our migration from Python to Go.  We're seeking someone who thrives in a fast-paced environment, excels at solving complex problems, and  collaborates effortlessly across teams.

Key Responsibilities

• Migrate and refactor existing Python logic into Golang within GraphQL API services.
• Rapidly learn and adapt to internal tools, systems, and processes to speed up migration.
• Collaborate closely with engineers across teams to ensure smooth delivery.
• Debug complex issues quickly and provide clear, actionable solutions.
• Maintain high-quality, well-tested code with thorough validation.
• Identify and implement improvements in our migration tooling.

Qualifications for this role:

• 5+ years of experience in backend development, ideally in a fast-moving environment.
• Strong expertise in Golang and Python.
• Familiarity with GraphQL APIs, GraphQL Router and Federation are a plus.
• Excellent debugging and problem-solving skills.
• Quick learner with the ability to pick up unfamiliar tools or systems quickly.
• Strong collaboration and communication skills, able to work effectively in distributed teams.

Offer Details

• Full-time contractor or full-time employment, depending on the country
• Remote only, full-time dedication (40 hours/week)
• 6 hours of overlap with Pacific Timezone
• Competitive compensation package.
• Opportunities for professional growth and career development.
• Dynamic and inclusive work environment focused on innovation and teamwork

About Turing:

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

Role Overview

We’re looking for a Data Scientist who has excellent hands on Python skills and Machine Learning experience  — someone who lives and breathes code, optimizes for performance, and has proven mastery on competitive programming or data challenge platforms like LeetCode, Codeforces, HackerRank, or Kaggle. In this role you will be working with Turing team members and AI researchers at Frontier Labs to devise techniques and build data sets to improve performance of models. 

What You’ll Do

• Build, test, and optimize high-performance Python systems used in large-scale AI and data pipelines.
• Design and maintain modular, clean, and production-ready Python codebases.
• Collaborate with cross-functional teams (data, infra, and research engineers) to deliver reliable backend components.
• Write efficient, maintainable, and testable code with strong focus on algorithms and data structures.
• Stay current with modern Python tools, frameworks, ML advancements and best practices.

Required Qualifications

• Bachelor’s or Master’s in Computer Science, Software Engineering, or a related field.
• 4+ years of professional experience writing Python in production environments.
• Expert-level proficiency in Python and core libraries (Pandas, NumPy, AsyncIO, Pytorch, Transformers, or similar).
• Proven track record on coding platforms — e.g., top percentile or strong rating on LeetCode, Codeforces, HackerRank, or Kaggle competitions.
• Experience with system design, clean architecture, and performance optimization.
• Working level Proficiency in either Machine Learning or Data Science for Machine Learning.

Bonus

• Recognized performance in Kaggle, Codeforces, or ICPC/TopCoder contests.
• Deep curiosity for performance tuning, scalability, and elegant code design.

Perks of Freelancing with Turing

• Work fully remotely, from anywhere.
• Collaborate with world-class AI labs and frontier research companies.
• Tackle real engineering challenges with high autonomy and ownership.

Offer Details

• Commitment: Minimum 20 hours/week with 4-hour PST overlap (options: 20, 30, or 40 hrs/week).
• Type: Contractor (no medical/paid leave).
• Duration: 3 months (start date: next week).

Evaluation Process

1. Technical Interview (60 mins): discussion of Python problem-solving, architecture, and system design.