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Roles and Responsibilities
In this role you will:
Develop and fine-tune Generative AI models (e.g. LLMs diffusion models).
Design and implement machine learning models for classification regression clustering and recommendation tasks.
Build and maintain scalable AI pipelines for data ingestion training evaluation and deployment.
Collaborate with cross-functional teams to understand business needs and translate them into AI solutions.
Ensure model performance fairness and explainability through rigorous testing and validation.
Deploy models to production using MLOps tools and monitor their performance over time.
Stay current with the latest research and trends in AI/ML and GenAI and evaluate their applicability to business problems.
Document models experiments and workflows for reproducibility and knowledge sharing.
Technical Skill Set
Cloud & Infrastructure (AWS)
Amazon SageMaker Model training tuning deployment and MLOps.
Amazon Bedrock Serverless GenAI model access and orchestration.
SageMaker JumpStart pre-trained models and GenAI templates.
Prompt engineeringandfine-tuningof LLMs using SageMaker or Bedrock.
Programming & Scripting
Python Primary language for AI/ML development data processing and automation.
Education Qualification
Bachelors degree in engineering with minimum four years of experience in relevant technologies.
Desired Characteristics
Technical Expertise:
GenAI Platforms & Models
Familiarity with LLMs: like Claude (Anthropic) LLaMA (Meta) Gemini (Google) Mistral Falcon
Experience with APIs: Amazon Bedrock.
Understanding of model types: encoder-decoder decoder-only diffusion models
Design develop and deployagent-based AI systemsthat exhibit autonomous decision-making.
IntegrateGenerative AI(LLMs diffusion models) into real-world applications.
Prompt Engineering & Fine-Tuning
Prompt design for zero-shot few-shot and chain-of-thought reasoning
Fine-tuning and parameter-efficient tuning (LoRA PEFT)
Retrieval-Augmented Generation (RAG) design and implementation
System Integration & Architecture
Event-driven and serverless architectures (e.g. AWS Lambda EventBridge)
Development Frameworks
LangChain LlamaIndex.
Vector databases: FAISS Pinecone Weaviate Amazon OpenSearch
Langgraph Langchain
Cloud & DevOps
AWS (Bedrock SageMaker Lambda S3) Azure (OpenAI Functions) GCP (Vertex AI)
CI/CD pipelines for GenAI workflows
Security & Compliance
Data privacy and governance (GDPR HIPAA)
Model safety: content filtering moderation hallucination control
Monitoring & Optimization
Model performance tracking (latency cost accuracy)
Logging and observability (CloudWatch Prometheus Grafana)
Cost optimization strategies for GenAI inference
Collaboration & Business Alignment
Working with product legal and compliance teams
Translating business requirements into GenAI use cases
Creating PoCs and scaling to production
Business Acumen:
Demonstrates the initiative to explore alternate technology and approaches to solving problems
Skilled in breaking down problems documenting problem statements and estimating efforts
Has the ability to analyze impact of technology choices
Skilled in negotiation to align stakeholders and communicate a single synthesized perspective to the scrum team. Balances value propositions for competing stakeholders.
Demonstrates knowledge of the competitive environment
Demonstrates knowledge of technologies in the market to help make buy vs build recommendations scope MVPs and to drive market timing decisions
Leadership:
Influences through others; builds direct and behind the scenes support for ideas. Pre-emptively sees downstream consequences and effectively tailors influencing strategy to support a positive outcome.
Able to verbalize what is behind decisions and downstream implications. Continuously reflecting on success and failures to improve performance and decision-making.
Understands when change is needed. Participates in technical strategy planning.
Personal Attributes:
Able to effectively direct and mentor others in critical thinking skills.
Proactively engages with cross-functional teams to resolve issues and design solutions using critical thinking and analysis skills and best practices.
Finds important patterns in seemingly unrelated information.
Influences and energizes other toward the common vision and goal.
Maintains excitement for a process and drives to new directions of meeting the goal even when odds and setbacks render one path impassable.
Innovates and integrates new processes and/or technology to significantly add value to GE Healthcare.
Identifies how the cost of change weighs against the benefits and advises accordingly.
Proactively learns new solutions and processes to address seemingly unanswerable problems.
Inclusion and Diversity
GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race color religion national or ethnic origin sex sexual orientation gender identity or expression age disability protected veteran status or other characteristics protected by law.
We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus and drive ownership always with unyielding integrity.
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything youd expect from an organization with global strength and scale and youll be surrounded by career opportunities in a culture that fosters care collaboration and support.
#LI-MA6
Relocation Assistance Provided: No
Full-Time