Ai Ml Engineer
- Optum
- 11 - 16 years
- Bengaluru
- 3 months ago
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Job Description
Primary Responsibilities
- Expertise in developing, deploying, and optimizing endtoend ML and GenAI solutions.
- Strong command over Python-based data workflows and distributed Big Data systems.
- Proven ability to design scalable ML architectures, orchestrate pipelines, and ensure production reliability.
- Handson experience with LLMs, Transformer-based models, embeddings, and advanced NLP applications.
- Deep understanding of MLOps practices for model lifecycle management and enterprise-level deployment.
- Strong leadership skills with the ability to mentor teams, drive technical decisions, and influence stakeholders.
Required Qualifications
Undergraduate degree or equivalent experience.
Advanced degree in Data Science, Computer Science, or related field. Proven experience in AI/ML model development, big data technologies, and cloud platforms (Azure preferred). Strong skills in Python, SQL, Spark, and Agile/Scrum methodologies. Expertise in healthcare claims, payment integrity, and compliance frameworks is highly desirable. Strong expertise in Python (basic and advanced concepts) for ML and data engineering workflows.
- Strong expertise in Python (basic and advanced concepts) for ML and data engineering workflows.
- Extensive experience with Big Data technologies including PySpark, Spark, and Databricks.
- Practical experience with Jupyter and cloud platforms such as Azure, AWS, or GCP.
- Handson proficiency with Git, MLflow, cloud ML services, Kubernetes, and Terraform.
- Deep understanding of BERT, Transformers, and embeddings for NLP and GenAI solutions.
- Handson experience in LLM text generation using APIs and agent frameworks.
- Ability to design and implement RAG (Retrieval Augmented Generation) models.
- Experience building classification models using BERT or other Transformer architectures.
- Strong knowledge of guardrailing techniques for safe and compliant LLM deployments.
- Practical MLOps experience including model deployment, monitoring, and lifecycle management.
Preferred Skills
- Experience with treebased models, regression/classification techniques, time series, clustering, and model optimization.
- Strong foundation in advanced statistics and scalable architecture for ML systems.
- Expertise in data cleaning, EDA, feature engineering, and scalable ETL/ML pipelines.
- Experience building and orchestrating pipelines using Databricks workflows.
- Team management experience including roadmap planning, prioritization, architecture design, and stakeholder management.
- Strong leadership qualities with effective decisionmaking, mentoring, and strategic communication.
Job Classification
Industry: Software ProductFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: OptumLocation(s): Bengaluru
Keyskills: Tensorflow Pytorch Artificial Intelligence Aiml Python Machine Learning Deep Learning
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