Role: Machine Learning Engineer - (Senior/Associate Architect)

Experience Level: 4 - 9 Years

Work location: Mumbai, Bangalore & Trivandrum

Role & Responsibilities:

- Design and architect multi-layered ML solutions using Azure AI Foundry and ensuring they are robust, scalable, and production-ready
- .Defining and implementing robust integration strategies between legacy control software (e.g., VB6) and modern Azure ML platforms, ensuring seamless data flow, scalability, and strict data security governance
- .Architecting, developing, and deploying advanced machine learning and deep learning models specifically for curve prediction and automated quality scoring
- .Designing and implementing sophisticated optimization engines to automate precision movements with micron-level accuracy
- .Leading the transition from manual operator heuristics and rule-based systems to automated, data-driven logic and decision-making processes
- .Performing extensive data pre-processing on historical calibration data to train and validate models, and building robust production monitoring, alerting, and retraining scripts
- .Continuously enhancing, modifying, optimizing, and maintaining existing ML models to improve performance, accuracy, and efficiency
- .Working closely with external and internal stakeholders to define requirements for ML use cases, gather feedback, and drive solution enhancements
- .Generating actionable insights from large datasets and effectively communicating complex analysis results and model performance to clients and internal stakeholders




- .Provide technical leadership to MLEs and Platform engineers to ensure architectural alignment across workstreams

. Skills Expectatio
- n:Expertise in Python and SQL with PySpark for large-scale data processin
- g.Experience Expertise in Tree-based models (e.g., XGBoost, LightGBM
- ).Strong foundation in Traditional ML algorithms (e.g., Logistic Regression, Cluster Analysis, Decision Trees, Statistical Modeling, Predictive Analysis, Regression, Classification
- ).Experience with Encoder-Decoder architectures for sequence modelin
- g.Proficiency in Deep Learning Architectures specifically for time series and curve dat
- a.Deep expertise in Agentic AI, Time Series forecasting, Descriptive Machine Learning, and Exploratory Data Analysi
- s.Strong experience with Google Cloud Platform (GCP) Or Azure Cloud Services for ML workload
- s.Proven ability to design, develop, and deploy production-grade Machine Learning and Generative AI systems that deliver measurable ROI and contribute to long-term AI roadmap
- s.Experience with advanced optimization techniques for black-box functions, including Bayesian Optimization and sophisticated hyperparameter tuning method
- s.Experience with Databricks for ML workflows and data engineerin
- g.Must have experience in putting models into productio
- n.Experience in post-production deployment, including MLOps practices (monitoring, retraining, versioning), would be a significant plu
- s.Experience working with scalable, highly-interactive, high-performance ML systems and project
- s.Great analytical skills with meticulous attention to detai
- l.Robust stakeholder and team management skill

s.

📌 Machine Learning Engineer (Bengaluru)
🏢 Quantiphi
📍 Bengaluru