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.
Skills Required
- Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or related quantitative field
- 4+ years of hands-on machine learning development experience
- Proficiency in supervised learning, unsupervised learning, time-series, NLP, CV, and statistical modeling
- Experience deploying and maintaining data science 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)
- Ability to translate business requirements into ML code and real-world model applications
- Expertise in deep learning (CNNs, RNNs, Transformers)
- Experience with cloud platforms (Databricks, AWS)
- Knowledge of MLOps principles and tools for model deployment and monitoring
- Hands-on experience with PySpark and Databricks
- Participation in Kaggle competitions or familiarity with benchmarks like MLEBench
What We Do
CareerOneStop is a suite of free websites sponsored by the U.S. Department of Labor that delivers integrated, easy-to-understand workforce information. It provides a wide range of tools and resources for career exploration, training, and job search, helping job seekers, students, workers, and employers enhance their employment opportunities and develop their capacity to make sound economic decisions.
