Machine Learning Developer

Position: Machine Learning Developer (5+years) Location: Remote (Company in Mumbai) Company: Big Rattle Technologies Private Limited Immediate Joiners only. Summary: The ML Developer will design, build, and maintain machine learning models and data pipelines powering core business use cases. The role is hands-on with Python for model development, feature engineering, and pipeline automation, leveraging Azure ML, and Azure DevOps. Success means robust, production-grade models with proven business impact, traceable lineage, and operational excellence at scale. Key Responsibilities: Feature Engineering & Model Development Translate model prototypes from Data Scientists into Azure ML production pipelines, including data ingestion, training, inference, and retraining. Build and iterate on ML models (forecasting/classification/regression) using modern ML frameworks (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow). Develop robust feature pipelines (deterministic code, modular definitions, reusability) using Pandas/PySpark and orchestrate in AML Pipelines Jobs. Design experiments with proper sampling, train-test splits, cross-validation, and metrics selection (e.g., RMSE, AUC, MAPE). Implement model selection, champion/challenger promotion, and versioning strategies. Document experiment results for reproducibility and regulatory compliance. Model Operationalization & Monitoring Productionize models as batch or real-time endpoints via Azure ML. Implement model validation gates (drift/shift, prediction distribution checks, champion vs. challenger results). Set up model monitoring dashboards for latency, prediction freshness, data drift, and feature importance tracking. Integrate model deployment/test harnesses with Azure DevOps pipelines for CI/CD. Develop FastAPIs to invoke and consume ML models. Data Engineering & Quality Profile, clean, and transform raw data from Snowflake, SQL, and third-party sources. Implement checks for data quality (nulls, schema validation, outlier handling, time alignment, duplicate detection). Automate feature extraction and maintain feature store consistency. Collaboration & Quality Ops Work with Product, Data, and QA teams to agree on model acceptance criteria and experiment reviews. Contribute to defect taxonomy (data/model/serving), pipeline observability, and SLO dashboards. Publish model performance reports and SLI/SLO summaries for stakeholders. Required Skills (hands-on experience in the following): Advanced proficiency in Python (pandas, NumPy, ML frameworks), SQL, and cloud data tools. Solid experience building production ML pipelines (Azure ML, Databricks, or equivalent). Understanding of model validation, drift detection, and online monitoring. Experience with feature stores, CI/CD (Azure DevOps), and API development (FastAPI/Flask). Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. 5+ years developing data-focused solutions (3+ years in ML modeling and operations). Certification in Azure Data or ML Engineer Associate is a plus. Why should you join Big Rattle? Big Rattle Technologies specializes in AI/ ML Products and Solutions as well as Mobile and Web Application Development. Our clients include Fortune 500 companies. Over the past 13 years, we have delivered multiple projects for international and Indian clients from various industries like FMCG, Banking and Finance, Automobiles, Ecommerce, etc. We also specialise in Product Development for our clients. Big Rattle Technologies Private Limited is ISO 27001:2022 certified and CyberGRX certified. What We Offer: Opportunity to work on diverse projects for Fortune 500 clients. Competitive salary and performance-based growth. Dynamic, collaborative, and growth-oriented work environment. Direct impact on product quality and client satisfaction. 5-day hybrid work week. Certification reimbursement. Healthcare coverage. How to Apply: Interested candidates are invited to submit their resume detailing their experience. Please detail out your work experience and the kind of projects you have worked on. Ensure you highlight your contributions and accomplishments to the projects. Send your resume to with 'Application for Machine Learning Developer' in the subject line.