Python Machine Learning Engineer

Role Overview:

• We are looking for a

  ML Developer

  to drive the design, development, and delivery of advanced machine learning solutions. 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.

What does day-to-day look like:

• 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:

• Bachelors 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.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer 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)

• Employment type

  : Contractor assignment (no medical/paid leave)

• Duration of contract

  : 3 month; [expected start date is next week]

• Location

  : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico

Evaluation Process (approximately 75 mins) :

• Two rounds of interviews as follows:
• Interview 1: Technical, 60 mins
• Interview 2: Onboarding & cultural discussion, 15 mins