Remote Machine Learning Engineer

Experience: 3.00 + years

Confidential (based on experience)

Shift : (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type : Remote

Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Saxecap)

(*classical ML, LLM, Deep Learning, Python, Model, Fine Tuning, NLP, Generative AI

We are looking for a Machine Learning Engineer with strong foundations in machine learning and deep learning to build, fine-tune, and deploy ML models from scratch. Instead, the emphasis is on ML algorithms, feature engineering, model optimization, and production ML systems.

Design, build, train, and fine-tune machine learning models using traditional ML and deep learning techniques

Perform feature engineering, feature selection, and data preprocessing on structured and semi-structured data

Decision Trees, Random Forest, Gradient Boosting (XGBoost, LightGBM, CatBoost)

Evaluate models using appropriate metrics and improve performance through hyperparameter tuning

Deploy models into production and monitor performance, drift, and retraining needs

Collaborate with data engineers, product, and business teams to translate requirements into ML solutions

Build AI-first products that drive transformation across industries.

Competitive compensation with performance-based variable pay.

Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today.