2 days ago
Bengaluru, IndiaMid Level
Responsibilities
- Assist with designing, developing, deploying, and maintaining machine learning and AI solutions for supply chain challenges.
- Contribute to end-to-end ML pipelines for forecasting, optimization, predictive analytics, anomaly detection, and intelligent automation.
- Support the development and deployment of AI agents and multi-agent systems using generative AI frameworks.
- Build data ingestion, transformation, feature engineering, enterprise knowledge, vector database, and intelligent document-processing capabilities.
- Support AI and ML application deployment on AWS and Microsoft Azure, including MLOps and LLMOps pipelines, monitoring, retraining, and automated deployment.
- Evaluate and monitor ML models and LLMs, improve accuracy and latency, optimize cloud resources, and support responsible AI practices.
- Collaborate with supply chain stakeholders, data scientists, software engineers, cloud architects, product managers, and transformation teams.
- Participate in code reviews and create technical documentation.
Requirements
- Bachelor’s degree in computer science, software engineering, AI, or a related field with 2 to 4 years of professional experience, or a master’s degree with relevant industry experience and 2 to 3 years of experience including internship experience.
- At least 3 years of hands-on Python experience and foundational knowledge of machine learning and AI solution development.
- Experience or coursework/project experience with generative AI applications and agentic AI workflows.
- Foundational understanding of large language models, prompt engineering, retrieval-augmented generation, and AI evaluation techniques.
- Basic understanding of system design patterns, microservices architecture, APIs, Docker, Kubernetes, and infrastructure automation.
- Familiarity with or willingness to learn AI observability and evaluation tools including Azure AI Foundry, Azure Monitor, Azure ML Monitoring, AWS CloudWatch, MLflow, LangSmith, Prometheus, Grafana, and OpenTelemetry.
- Exposure to enterprise data platforms, data pipelines, SQL, and distributed data processing frameworks.
- Preferred academic, internship, or project experience applying AI/ML to supply chain, retail, healthcare, or other enterprise domains.
Benefits
- Hybrid work arrangement in Bangalore with commuting to the office 40% of the time.
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About Solventum
At Solventum, we enable better, smarter, safer healthcare to improve lives. We never stop solving for you.