Python Machine Learning Engineer

Responsibilities:

• 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:

Requirements:

• A minimum of a bachelor'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 Modelling 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:

Benefits:

• 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 a minimum of 20 hours per week with an 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)
• 3 months; [the 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