Associate AI/ML Engineer
Optum Global Solutions · Hyderabad · onsite · Posted 1d ago
Undisclosed3–8 yrsfulltimeSourced from
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About this role
Job Summary
Primary Responsibilities
Required Qualifications
Preferred Qualifications
As an Associate AI/ML Engineer, you will join an innovative engineering team dedicated to transforming healthcare delivery through advanced artificial intelligence and machine learning solutions. In this role, you will contribute directly to designing, developing, and operationalizing generative AI, retrieval-augmented generation (RAG) systems, and agentic workflows that solve complex business and clinical challenges. You will collaborate with cross-functional software and data teams to build secure, scalable, and reliable production-grade AI applications using modern cloud services and enterprise data platforms.
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.
Required 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
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Skills
BedrockApache KafkaCI/CD PipelinesAnalytics toolsAzure AiapisApachecloud aiai modelAzure OpenAIAnalyticsAI ChatbotscloudArchitectureAzure DatabricksMicrosoft AzureBusiness IntelligenceArtificial IntelligenceAnthropic SDK
About Optum Global Solutions
Optum Global Solutions
IT Services & Consulting
33.0k+
employees
2002
24 years old
Hyderabad / Secunderabad, Telangana
India
₹11L PA avg
Avg at Optum Global Solutions
About
We are at the helm of a digital health care revolution, which is being accelerated by a combination of technology and talent. We build and deliver end-to-end digital health solutions for our clients.
Industries
IT Services & ConsultingHardware & NetworkingHealthcareSoftware Product
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