Orbion Infotech
Website:
orbioninfotech.com
Job details:
Senior Machine Learning Engineer (On-site, Pune) ? Enterprise AI / Software Services We are a Pune-based technology services firm operating in the Enterprise AI & Software Engineering sector, building production-grade AI/ML solutions for customers across finance, healthcare, retail and manufacturing. The role is fully on-site in Pune and targets experienced engineers who can design, deploy and operate scalable ML systems for real-world business impact. Role & Responsibilities Lead design and development of end-to-end ML solutions: data ingestion, feature engineering, model development, evaluation and deployment to production. Implement and optimise deep learning models (vision / NLP / tabular) using PyTorch or TensorFlow for latency, accuracy and cost targets. Build production-grade model serving and inference pipelines using containerisation and orchestration (Docker, Kubernetes) and cloud services. Drive MLOps practices: CI/CD for models, automated testing, model versioning, monitoring, drift detection and rollback procedures. Collaborate with product, data engineering and QA to integrate ML capabilities into APIs and backend systems; own performance tuning and SLA adherence for live traffic. Mentor mid/junior engineers, define coding and deployment best practices, and contribute to architecture and technical roadmaps. Skills & Qualifications Must-Have Python PyTorch TensorFlow scikit-learn MLOps Docker Kubernetes AWS Preferred Spark NLP FastAPI Qualifications 6?9 years of professional experience building ML/AI systems, with demonstrable production deployments. Proven experience delivering end-to-end ML projects: data pipelines, model training, deployment and monitoring. Bachelor's or Master's degree in Computer Science, Electronics, Statistics or equivalent is preferred. Benefits & Culture Highlights Opportunity to own full ML lifecycle and influence product direction in a fast-growing AI practice. Collaborative, engineering-first culture with focus on mentorship, best practices and measurable outcomes. Competitive compensation and role-based learning opportunities; on-site collaboration with cross-functional teams in Pune. Location: Pune, India ? On-site. If you are a seasoned ML engineer who thrives on production delivery and operational excellence, apply with your resume and portfolio of deployed models or relevant GitHub projects.
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