About Company:
Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the “Intelligent Talent Cloud,”enabled companies to “spin up their engineering dream team in the cloud” by sourcing and managing vetted global talent.
In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.
Job Description:
Job Title:
Python for Machine Learning
Location:
Pan India
Experience:
4+ yrs.
Employment Type:
Contract to hire
Work Mode:
Remote
Notice Period:
- Immediate joiners
Role Overview: Senior Python Developer (Top Coder Track):
We’re looking for a world-class Python Developer — 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.
This is a pure coding role — where you’ll tackle challenging engineering problems, design scalable systems, and collaborate with leading AI research teams.
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, 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, FastAPI, or similar).
Proven track record on coding platforms — e.g., top percentile or strong rating on LeetCode, Codeforces, HackerRank, or Kaggle competitions.
Deep understanding of data structures, algorithms, and problem-solving at scale.
Experience with system design, clean architecture, and performance optimization.
Working level Proficiency in ML/DS
Preferred Qualifications:
Strong experience with distributed systems, APIs, or data processing pipelines.
Familiarity with cloud environments (AWS, GCP, or Azure) and CI/CD workflows.
Experience in open-source contributions or building developer tools.
Comfort working in fast-paced, research-driven environments.
Bonus
Recognized performance in Kaggle, Codeforces, or ICPC/TopCoder contests.
Deep curiosity for performance tuning, scalability, and elegant code design.