ML Developer (AI Solutions)

Role Overview

We are seeking an ML Developer to drive the design, development, and delivery of advanced machine learning solutions. The ideal candidate will be a strong individual contributor and a technical leader, capable of setting direction, mentoring team members, and ensuring ML initiatives align with business goals. Competitive ML experience (e.g., Kaggle, benchmarks) is a strong plus.

Day-to-Day Activities

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

Evaluation Process (approximately 75 mins)

• Interview 1: Technical, 60 mins.
• Interview 2: Onboarding & cultural discussion, 15 mins.