Python Machine Learning Engineer

An older role: first posted 372d ago, and Turing still listed it when we checked today. Newer roles tend to fill faster. See the jobs hiring now.

What the work is

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

Who gets hired

• 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

Pay

See listing, fully remote. How payouts and tax work.