Optum Recruitment 2026:
Optum is hiring a Associate AI/ML Engineer at Hyderabad. The complete details about Optum Recruitment 2026 as follows.
| Job Role | Associate AI/ML Engineer |
| Qualification | BE/B.Tech/BCA/MCA/MS/MTech or Related |
| Experience | 3+ Years |
| Job Location | Hyderabad |
Required Qualification :- 3+ years of software engineering experience, including hands-on experience building AI/GenAI or LLM-based applications (e.g., RAG systems, agentic workflows, or AI chatbots)
Minimum Qualifications:
- 3+ years of software engineering experience, including hands-on experience building AI/GenAI or LLM-based applications (e.g., RAG systems, agentic workflows, or AI chatbots)
- Experience designing and building both batch and real-time streaming data pipelines using Spark, Scala, or Python
- Hands-on experience working with event-streaming or distributed messaging platforms (e.g., Apache Kafka, Azure Event Hubs, or Spark Structured Streaming)
- Experience building data pipelines within cloud data platforms such as Azure Databricks or Snowflake
- Practical experience integrating foundation models via commercial or open-source APIs (e.g., Azure OpenAI, OpenAI, Anthropic, Amazon Bedrock)
- Hands-on experience with at least one GenAI orchestration framework (e.g., LangChain, LangGraph, or Spring AI)
- Firm understanding of RAG components (chunking, embeddings, vector indexing, retrieval, prompt engineering) and agentic patterns (tool/function calling, memory, orchestration)
- Solid understanding of REST APIs, microservices architecture, Git, CI/CD pipelines, and Docker containerization
- Awareness of security, privacy, and responsible AI practices when building production systems
Preferred Qualifications:
- Relevant certifications in data engineering or cloud AI/ML (e.g., Databricks Certified Data Engineer, Azure AI Engineer Associate, Confluent Certified Developer for Apache Kafka)
- Experience modeling and serving streaming or batch datasets to PowerBI for operational and executive reporting
- Experience implementing LLM observability, evaluation, and guardrail frameworks (e.g., MLflow, Langfuse, or TruLens)
- Familiarity with data governance, schema registry, and data quality frameworks in streaming architectures
- Good understanding of analytics tools: Python, SQL, Databricks, Snowflake
- Good knowledge of Business intelligence tools like Tableau/Power BI, etc.
- Solid problem-solving skills
- Good knowledge around Predictive & Prescriptive Analytics techniques like Hypothesis testing, Probability, Supervised & Unsupervised Learnings
- Ability in slicing and dicing of data structures, Natural Language Processing and good to have fundamental understanding on Gen-AI & Large Language Models
Primary Responsibilities:
- Design and implement AI systems for conversational search in M&R Sales content
- Develop AIML based data ingestion quality gates based on pattern analysis
- Evaluate, debug, and improve conversational AI to ensure accuracy and efficiency
- Monitor and optimize system performance for latency, cost, and reliability
- Explore and apply reinforcement learning and self-improving techniques
- Collaborate and communicate effectively with cross-functional teams and stakeholders to deliver scalable solutions
- Ensure responsible and ethical AI practices throughout all stages of development
- Design, build, and deploy production-grade AI-powered solutions, including agentic workflows, RAG architectures, and conversational AI applications that solve complex enterprise challenges.
- Develop, optimize, and maintain scalable batch and real-time streaming data pipelines using Spark (including Spark Structured Streaming), Scala, and Python within Azure Databricks and Snowflake.
- Integrate event-streaming technologies (e.g., Apache Kafka, Azure Event Hubs) to process continuous, low-latency data feeds for real-time inference, dynamic context retrieval, and vector store updates
- Expose AI model outputs and streaming analytics via secure REST APIs and microservices, connecting data streams to downstream business platforms and interactive PowerBI dashboards
- Apply security best practices, data privacy standards, and responsible AI principles across all data processing and application workflows
- Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements.
Optum Recruitment 2026 Application Process:-
Apply In Below Link-
Apply Link:- Click Here To Apply (Apply before the link expires)
NOTE :- Only shortlisted candidates will receive the call letter for further rounds
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