Highlight
Summary
About the Role
About You
- 8+ years of experience in applied ML or data science, including 3+ years in a senior or staff-level role and devops experience.
- Expert proficiency in Python for ML development.
- Proven experience deploying traditional ML models to production with measurable business impact.
- Strong knowledge of ML frameworks (Scikit-learn, XGBoost, LightGBM) and data libraries (Pandas, NumPy, Statsmodels).
- Hands-on MLOps experience with tools like MLflow, Databricks, Kubeflow, Vertex AI Pipelines, or AWS SageMaker Pipelines.
- Experience with model monitoring, drift detection, and automated retraining strategies.
- Strong database skills (SQL and NoSQL).
- Masters degree or PhD is mandatory.
- Exposure to retrieval-augmented generation (RAG) pipelines and vector databases.
- Time-series analysis and anomaly detection experience.
- Cloud deployment expertise (AWS, Azure, GCP).
- Familiarity with distributed computing frameworks (Spark, Ray).
We're a global product engineering and digital services company focused on fulfilling our mission of helping the world drive, fly, build, and farm by enabling our customers to realize better products and deliver better experiences. We’re the strategic engineering partner businesses turn to when they aspire to be better. Manufacturing companies rely on us to enable them to conceptualize, develop and realize better products that are safer, cleaner, and improve the quality of life for all the stakeholders, helping us achieve our vision of #EngineeringABetterWorld. We provide a full spectrum coverage of solutions across the product value chain covering outsourced product engineering services, digital transformation services, upskilling solutions and value-added reselling of software products required to develop and realize better products. From delivering discrete outcomes to end-to-end turn key product development for #Connected #Autonomous #ElectricVehicles (#EVs), we're the partner with the experience and expertise to understand what better looks like – and who can bring better to life. We're inspiring a new generation of engineers who, by embracing the opportunities that exist at the convergence of digital technology and traditional engineering, are developing better products and helping customers win in the marketplace. As a global organization, we bring together diverse teams with varying skill sets to collaborate in real time and solve complex engineering problems. In doing so, we're redefining what the world understands by engineering and spreading the influence and impact of engineering as humanity's best way of addressing its most important challenges and opportunities. As a global company headquartered in Pune, India, we are active in more than 27 countries around the world, steered by 12500+ innovators who are making #EngineeringABetterWorld a reality - every day for everyone.