Python Machine Learning Engineer
We’re looking for a ML Developer to drive the design, development, and delivery of advanced machine learning solutions.
Hiring companyTuring
About the role
The ideal candidate is not just a strong individual contributor but also a technical leader capable of setting direction, mentoring team members, and ensuring that ML initiatives align with business goals. Competitive ML experience (e.g., Kaggle, benchmarks) is a strong plus.
Perks of Freelancing With Turing:
- Work in a fully remote environment.
- Opportunity to work on cutting-edge AI projects with leading LLM companies.
Duration of contract : 3 month; [expected start date is next week].
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 skills
- 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 skills
- 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.
- 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.
Experience and education
- 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,
Assessment requirements
Evaluation Process (approximately 75 mins) :
- Two rounds of interviews as follows:Interview 1: Technical, 60 mins Interview 2: Onboarding & cultural discussion, 15 mins.
Schedule details
Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week).
Eligibility
Work arrangement: Fully remote
Applicant eligibility: 9 eligible countries
View all 9 eligible countries
Eligible countries: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Türkiye, Mexico
Compensation details
Employment type : Contractor assignment (no medical/paid leave).
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