Exponentia.ai - Machine Learning Engineer - MLOps in Bangalore, भारत

About https://jobeax.com/link/Gne0XPcMdAbr6xR6 : https://jobeax.com/link/Gne0XPcMdAbr6xR6 is a fast-growing AI-first technology services company, partnering with enterprises to shape and accelerate their journey to AI maturity. With a presence across the US, UK, UAE, India, and Singapore, we bring together deep domain knowledge, cloud-scale engineering, and cutting-edge artificial intelligence to help our clients transform into agile, insight-driven https://jobeax.com/link/fBhymfecYTXIs3Ah are proud partners with global technology leaders such as Databricks, Microsoft, AWS, and Qlik, and have been consistently recognized for innovation, delivery excellence, and trusted https://jobeax.com/link/s2trklfmXV1BONgT & Recognitions : - Innovation Partner of the Year - Databricks, 2024- Digital Impact Award, UK - 2024 (TMT Sector)- Rising Star - APJ Databricks Partner Awards 2023- Qlik's Most Enabled Partner - APACAbout the Role : We are looking for a skilled Machine Learning Engineer with 3 - 5 years of experience in building and deploying scalable machine learning solutions on https://jobeax.com/link/bGlnCchIlVM0MSjQ ideal candidate will work closely with Data Scientists and Engineering teams to productionize customer propensity models, automate ML workflows, and ensure reliable, secure, and cost-efficient deployment of machine learning services. This role requires strong expertise in Python, MLOps, AWS services, and ML model lifecycle https://jobeax.com/link/8l1HKAPsCuIcTvHp Responsibilities : Machine Learning Engineering & MLOps : - Collaborate with Data Scientists to productionize machine learning models, feature engineering pipelines, and evaluation workflows.- Develop and maintain automated pipelines for data preparation, model training, validation, deployment, and retraining.- Implement batch and real-time inference solutions using AWS-native services.- Build and manage CI/CD pipelines, automated testing frameworks, and deployment processes for ML applications.- Maintain model versioning, experiment tracking, reproducibility, and rollback https://jobeax.com/link/msGpCf4BQ50ldZ3Y Platform & Deployment : - Deploy and manage machine learning workloads using AWS services such as SageMaker, S3, Glue, Lambda, CloudWatch, and EventBridge.- Design scalable and secure ML architectures aligned with business and operational requirements.- Optimize infrastructure performance, system reliability, and cloud resource utilization.- Ensure adherence to security, governance, and operational best https://jobeax.com/link/8d9czyinb52HS810 & Operational Excellence : - Implement monitoring for model performance, prediction quality, drift detection, latency, and system health.- Troubleshoot production issues related to pipelines, deployments, dependencies, and infrastructure.- Maintain technical documentation, deployment guides, and operational procedures.- Collaborate with platform, engineering, and business teams to ensure successful delivery and https://jobeax.com/link/2sAME8YJtntzaSWd Candidate Profile : - 3 - 5 years of experience in Machine Learning Engineering, MLOps, or Data Engineering.- Strong proficiency in Python, SQL, software engineering best practices, testing, and debugging.- Hands-on experience with scikit-learn, XGBoost, or LightGBM.- Exposure to TensorFlow or PyTorch is advantageous.- Experience with AWS machine learning and data services.- Strong understanding of ML lifecycle management, deployment strategies, and model monitoring.- Experience building automated pipelines and scalable cloud-based ML systems.- Ability to collaborate effectively with cross-functional teams and https://jobeax.com/link/FfNN38MjANEx2m9w Qualifications : - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Machine Learning, or a related field.- Experience deploying propensity, lead-scoring, recommendation, churn, or predictive analytics models.- Hands-on experience with MLflow and/or Databricks.- Understanding of model drift, explainability, governance, and Responsible AI practices.- AWS Machine Learning or AWS Developer Certification preferred.- Experience working in Agile/Scrum delivery https://jobeax.com/link/KOn4eruM62ilULzo Join Exponentia.ai? - Innovate with Purpose : Opportunity to create pioneering AI solutions in partnership with leading cloud and data platforms- Shape the Practice : Build a marquee capability from the ground up with full ownership- Work with the Best : Collaborate with top-tier talent and learn from industry leaders in AI- Global Exposure : Be part of a high-growth firm operating across US, UK, UAE, India, and Singapore- Continuous Growth : Access to certifications, tech events, and partner-led innovation labs- Inclusive Culture : A supportive and diverse workplace that values learning, initiative, and ownership (ref:hirist.tech)