Role Overview
We are seeking skilled and experienced Machine Learning Developers to join our innovative AI
team. The ideal candidate will have strong hands-on ML experience, with the ability to understand
complex data models and translate business requirements into efficient, context-aware ML
solutions. Participation in machine learning competitions (e.g., Kaggle) is a strong plus.
Day-to-Day Responsibilities
- Develop and maintain ML solutions, including data pipelines, model training, evaluation, and
optimization.
- Collaborate with business stakeholders to gather and clarify requirements.
- Translate business requirements into ML code that accurately reflects business logic.
- Write efficient, maintainable, and well-documented ML solutions.
- Participate in code reviews and follow established development standards.
- Analyze and select the best algorithms, optimizing for performance 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.
- 4+ years of hands-on ML development experience.
- Proficiency in at least some of the ML areas and frameworks: supervised learning, unsupervised
learning, time-series, NLP, CV, statistical modeling.
- Ability to understand and apply different models to real-world use cases.
- Experience with DS and ML solutions in production environments.
- Strong understanding of data cleaning, feature engineering, model optimization, and evaluation
metrics.
- Proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn).
Preferred Qualifications
- Expertise in Deep Learning (CNNs, RNNs, Transformers).
- Experience with cloud platforms (Databricks, AWS, etc.).
- Knowledge of MLOps principles and tools for model deployment and monitoring.
- Hands-on experience with PySpark and Databricks.
- Stay updated with the latest advancements in AI and ML.
Bonus Points
- Experience in Kaggle competitions and benchmarks such as MLEBench.
Perks of Freelancing with Turing
- Fully remote work environment.
- Opportunity to work on cutting-edge AI projects with leading LLM companies.
- Exposure to frontier AI research and enterprise-level AI deployment.
Offer Details
- Commitments Required: 8 hours/day with 4-hour overlap with PST.
- Employment Type: Contractor (no medical/paid leave).
- Duration: 5 weeks.
- Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico.
