Python Machine Learning Engineer
About this role
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’re looking for a ML Developer to drive the design, development, and delivery of advanced machine learning solutions. The ideal candidate is not just a strong individual contributor but also a technical leader capable of setting direction, mentoring team members, and ensuring that ML initiatives align with business goals. Competitive ML experience (e.g., Kaggle, benchmarks) is a strong plus.
What does day-to-day look like:
- Own end-to-end DS/ML solution development, from data pipelines and model design to deployment and monitoring.
- Translate business objectives into robust ML architectures that accurately capture business logic and context.
- Collaborate cross-functionally with Product, Engineering, and Business stakeholders to define problem statements and success metrics.
- Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques.
- Stay current with advancements in AI/ML research and apply relevant innovations to improve outcomes
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Statistics, or a related quantitative field.
- 4+ years of hands-on DS/ML development experience,
- Proficiency in key DS/ML areas and frameworks:Supervised and Unsupervised Learning Time-Series Forecasting Natural Language Processing (NLP) Computer Vision (CV) Statistical Modeling and Inference
- Expertise in Python and core libraries (Pandas, NumPy, Scikit-learn, etc.).
- Ability to understand and apply different models to real-world use cases
- Strong understanding of data preprocessing, feature engineering, model tuning, and evaluation metrics.
- Proven ability to design scalable, production-grade ML systems.
Preferred Qualifications:
- Proven expertise in Deep learning (e.g., convolutional neural networks, recurrent neural networks, transformers).
- Experience with cloud data platforms (Databricks, AWS, etc.)
- 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
- Experimenting with new technologies and frameworks based on Research papers published in top conferences and journals
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 mins Interview 2: Onboarding & cultural discussion, 15 mins
Key skills
Details
- Pay: Shared during the application process
- Company: Turing
- Location: Remote
- Eligible locations: India, Pakistan, Nigeria, Kenya, Egypt, Ghana and 3 more
- Platform: Turing
Frequently asked questions
How much does the Python Machine Learning Engineer role pay?
Turing does not publish a pay rate for this Python Machine Learning Engineer position. Pay is shared during the application process and depends on your experience and the scope of the work.
Is the Python Machine Learning Engineer role remote, and can I work from home?
Yes. Turing lists this Python Machine Learning Engineer position as fully remote, so you can work from home or anywhere with a reliable computer and internet connection.
Is Python Machine Learning Engineer full time or part time?
Turing lists this as a contractor remote role. Full details are in the role description above.
Which countries can apply for Python Machine Learning Engineer?
Turing lists eligibility for India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, and 1 more countries. Check the Turing listing for current requirements before applying.
Do I need experience to apply for Python Machine Learning Engineer?
The requirements are listed in the role description above. Turing screens applicants through its own process, and relevant skills or credentials strengthen your application.
How do I apply for the Python Machine Learning Engineer role, and is it legit?
Use the apply button on this page to go straight to the official Turing listing. Turing is a real hiring marketplace and applying is free. No legitimate employer charges you to apply.
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