Lead Machine Learning Engineer

• B. Sc. in Computer Science & Engineering or any other engineering, Mathematics or Statistics (or similar) from any reputed university.Note: Education requirements are not limited to those listed above. If you possess the necessary skills and experience, we encourage you to apply.

• At least 4+ years of hands-on experience in designing, building, and deploying data-driven ML/AI solutions.
• Proven expertise with machine learning algorithms and tools (e.g., TensorFlow, PyTorch, Scikit-learn), artificial intelligence, and deep learning.
• Prior experience in leading small teams or mentoring junior engineers is a plus.

• Develop and deploy machine learning models using MLOps best practices to ensure efficient and scalable deployment and monitoring of models in production.
• Collaborate with cross-functional teams (data engineers, data analysts, domain experts) to identify opportunities for leveraging machine learning and data science techniques.
• Build and maintain scalable machine learning and data pipelines to process, clean, and analyze large structured and unstructured datasets.
• Implement and optimize state-of-the-art algorithms for classification, regression, clustering, and time-series forecasting tasks.
• Conduct data exploration, feature engineering, and model selection to improve predictive performance.
• Leverage statistical methods (e.g., regression, ANOVA, Bayesian inference) and advanced ML techniques (e.g., deep learning, ensemble methods) for business insights and predictions.
• Apply model evaluation metrics (precision, recall, ROC-AUC, RMSE, MAPE, etc.) to assess model performance and ensure reliability, and set up monitoring systems to detect data drift, concept drift, and model decay to maintain accuracy in production.
• Implement and optimize state-of-the-art algorithms and models for various machine learning tasks.
• Stay updated with the latest advancements in machine learning and propose innovative solutions to enhance client organizations’ AI capabilities.
• Effective communication with foreign clients.

• Strong proficiency in Python, including experience with machine learning libraries and frameworks such as TensorFlow or similar.
• Solid understanding of statistical concepts, probability theory, hypothesis testing, and experimental design.
• Basic knowledge of Linear algebra, Calculus and Statistics.
• Hands on experience with MLOps, and DevOps.
• Familiarity with ML cloud services (like Azure Machine Learning).
• Strong problem-solving skills.
• Good communication skills in English.

• Fluency in R.
• Good Understanding of Data Engineering and ETL operations.
• Notable experience in Kaggle or other machine learning competitions.

• Very competitive salary and long-term benefits with excellent career opportunity in a focused and stable organization.
• Great opportunity to work with global companies.
• A healthy work environment with opportunity to learn from a number of highly skilled engineers.
• Weekend: Saturday and Sunday.

If you believe you are the right candidate, then send your CV to career@relisource.com with this exact line as email's subject “SE_ML_15092025” by March 31, 2026.

IMPORTANT: Resume attached without above subject line will not be processed. Your CV must include your photograph.