Python Machine Learning Engineer

\* 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

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