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.
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