LLM-focused Python Engineer for Machine Learning

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview

We are seeking skilled and experienced DS/ML Developers to join our innovative team. The ideal candidate will have strong hands-on DS/ML experience with the ability to understand complex data models and translate business requirements into efficient solutions that capture business context accurately. Participation in machine learning competitions is a strong plus. What does day-to-day look like:

• Develop and maintain DS/ML solutions, including data pipelines, model training, evaluation, and optimization.
• Collaborate with business stakeholders to gather and clarify requirements
• Translate business requirements into DS/ML code that accurately reflects business logic
• Write efficient, maintainable, and well-documented DS/ML solutions
• Participate in code reviews and follow established development standards
• Effectively analyze and select the best algorithms, optimize DS/ML solutions for performance improvement and accuracy
• Create and maintain technical documentation for developed solutions
• Support testing activities and resolve data-related issues

Required Qualifications

• Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
• 3+ years of hands-on DS/ML development experience
• Proficiency in at least some of the DS/ML areas and frameworks, including: Supervised learning (classification, regression, …) Unsupervised learning (clustering, anomaly detection, …) Time-series analysis Natural Language Processing (NLP) Computer Vision (CV) Statistical modeling
• Ability to understand and apply different models to real-world use cases
• Hands-on experience with DS and ML solutions in production environments
• Strong understanding of data cleaning and wrangling, feature engineering, model optimization, and evaluation metrics
• Proficiency in Python and its common data science libraries (e.g., Pandas, NumPy, Scikit-learn)
• Strong knowledge of data analysis pipelines and data visualization techniques
• Experience translating business requirements into DS/ML solutions

Preferred Qualifications

• Proven expertise in Deep learning (e.g., convolutional neural networks, recurrent neural networks, transformers).
• Experience with cloud data platforms (Databricks, AWS, etc.)
• Knowledge of MLOps principles and tools for model deployment and monitoring
• Hands-on experience with PySpark and Databricks Platform
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
• Bonus: Experience and knowledge in Kaggle competitions and Benchmarks, such as MLEBench

Perks of Freelancing With Turing

• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details

• Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)
• Employment type  : Contractor assignment (no medical/paid leave)
• Duration of contract : 3 month; [expected start date is next week]
• Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico

Evaluation Process (approximately 75 mins)

• Two rounds of interviews as follows: Interview 1: Technical, 60 mts Interview 2: Onboarding & cultural discussion, 15 mts