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AI or ML Engineer
Optum India
Bengaluru, IND
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
Machine learning model developmentGenerative AIEmbedding modelsRetrieval-augmented generationSemantic searchVector databases
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Machine learning model developmentGenerative AIEmbedding models
Key Skills for This Role
Machine learning model developmentGenerative AIEmbedding modelsRetrieval-augmented generationSemantic searchVector databases
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About Optum
Optum describes its work as technology-enabled care intended to improve health outcomes and connect people with care, pharmacy benefits, data, and resources.
The organization emphasizes inclusion, career development, and health optimization.
Primary Responsibilities
- Experiment with novel machine learning and generative AI architectures.
- Create and maintain domain-specific, document, and text embedding models.
- Support RAG solutions involving semantic search, vector databases, and LLM integration.
- Design and implement AI-powered enterprise applications.
- Analyze large datasets for trends, patterns, and actionable insights.
- Partner with AI/ML Engineers and Leads to improve model accuracy and performance.
- Optimize AI pipelines for scalability, performance, reliability, and cost efficiency.
- Integrate AI/ML solutions with data engineering, product, and platform teams.
- Communicate complex technical concepts clearly with cross-functional stakeholders.
- Contribute to AI and LLM skill development for engineers and interns.
- Comply with company policies, employment terms, procedures, and operational directives.
Required Qualifications
- A graduate degree or equivalent experience is required.
- A bachelor’s or master’s degree in computer science, engineering, mathematics, statistics, or a related field is required.
- At least four years of relevant experience, including solid machine learning model development, is required.
- Hands-on expertise in Databricks, Spark, Python, Scala, and SQL is required.
- Experience creating embeddings, building RAG pipelines, using vector databases and semantic search, and integrating LLMs is required.
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