AI Engineer
IND19-01-Bengaluru-EPIP 122 (Phase II), India
GE HealthCare
GE HealthCare provides digital infrastructure, data analytics & decision support tools helps in diagnosis, treatment and monitoring of patientsGE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.Job Description
Job Description
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.
Ā Technical Skill Set
Ā Ā Cloud & Infrastructure (AWS)
Amazon SageMakerĀ ā Model training, tuning, deployment, and MLOps.
Amazon BedrockĀ ā Serverless GenAI model access and orchestration.
SageMaker JumpStartĀ ā pre-trained models and GenAI templates.
Prompt engineeringĀ andĀ fine-tuningĀ of LLMs using SageMaker or Bedrock.
Ā
Ā Programming & Scripting
PythonĀ ā Primary language for AI/ML development, data processing, and automation.
Education Qualification
Bachelorās 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:Ā Amazon Bedrock.
Understanding of model types: encoder-decoder, decoder-only, diffusion models
Design, develop, and deployĀ agent-based AI systemsĀ that exhibit autonomous decision-making.
IntegrateĀ Generative AIĀ (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 ā 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 youād expect from an organization with global strength and scale, and youāll be surrounded by career opportunities in a culture that fosters care, collaboration and support.
#LI-MA6Ā
Additional InformationRelocation Assistance Provided: No
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Anthropic APIs Architecture AWS Azure CI/CD Classification Claude Clustering Deep Learning DevOps Diffusion models Engineering FAISS GCP Gemini Generative AI Generative modeling Grafana Lambda LangChain LLaMA LLMs LoRA Machine Learning ML models MLOps Model training MVP OpenAI OpenSearch Pinecone Pipelines Privacy Prompt engineering Prototyping Python RAG Research SageMaker Scrum Security Testing Vertex AI Weaviate
Perks/benefits: Career development Competitive pay Transparency
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