- 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 robust 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

- 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

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)

Evaluation Process (approximately 75 mins) :
- Two rounds of interviews as follows:Interview 1: Technical, 60

Pay: ₹541,000.00 - ₹1,880,000.00 per year

Work Location: In person

📌 Python Machine Learning Engineer (Jaipur)
🏢 SAVISHTY
📍 Jaipur