Senior AI ML Engineer

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Senior AI ML Engineer in Others new

Viatris
Full time
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Others
10/04/2026
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Bengaluru, India

Responsibilities

Design, develop, deploy, and optimize scalable machine learning models and AI solutions for supply chain challenges.
Build end-to-end ML pipelines for forecasting, optimization, predictive analytics, anomaly detection, and intelligent automation.
Develop, test, and deploy AI agents and multi-agent systems using LLMs, tool integration, memory, and orchestration.
Create data ingestion, transformation, feature-engineering, and enterprise AI integration pipelines.
Deploy and manage AI and ML applications on AWS and Azure while maintaining MLOps and LLMOps pipelines.
Evaluate and monitor machine learning models and LLMs, improving accuracy, latency, cloud-resource utilization, reliability, and cost.
Implement responsible AI practices and AI observability.
Collaborate with business and technical stakeholders, contribute to architecture and code reviews, establish engineering standards, and create technical documentation.

Requirements

Bachelor’s degree in computer science, software engineering, AI, or a related field with 7+ years of professional experience in machine learning, artificial intelligence, data science, or AI engineering, or a master’s degree with 5+ years of relevant experience.
Strong hands-on Python expertise and experience designing, deploying, and optimizing production machine learning and AI solutions.
Experience with predictive modeling, forecasting, optimization, feature engineering, model evaluation, monitoring, and lifecycle management on cloud platforms such as Azure, Databricks, and AWS.
Experience building and deploying production-grade generative AI applications and agentic AI workflows using frameworks such as LangGraph, LangChain, AutoGen, CrewAI, or similar technologies.
Practical experience with LLMs, prompt engineering, RAG, AI evaluation techniques, and responsible AI practices.
Understanding of system design patterns, microservices architecture, APIs, Docker, Kubernetes, and infrastructure automation.
Experience with AI observability and evaluation tools including Azure AI Foundry, Azure Monitor, Azure ML Monitoring, AWS CloudWatch, MLflow, LangSmith, Prometheus, Grafana, or OpenTelemetry.
Experience with enterprise data platforms, data pipelines, SQL, and distributed data processing frameworks.
Preferred experience developing AI/ML solutions for supply chain, healthcare, or other enterprise domains.
Preferred experience implementing MLOps and LLMOps practices, AI governance, model explainability, data security, privacy, and responsible AI.

Benefits

Hybrid work arrangement in Bangalore.
10–20% travel.
Solventum recruitment communications use the @solventum.com email domain.

Viatris

Viatris is a global pharmaceutical company dedicated to improving patient outcomes by providing high-quality, affordable medicines worldwide. With a focus on innovation and access, the company partners with healthcare providers, governments, and communities to address unmet medical needs across d...

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