Python Machine Learning Engineer

Job Title

Python Machine Learning Engineer

Job Description

Role Overview:

We’re 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

Restrictions

• Telecommuting is OK
• Agencies are OK

Requirements

Required Qualifications:

• 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,
• 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 Free