Senior GenAI & MLOps Engineer

Educology Solutions; Washington (District of Columbia); Hybrid; USD 170,000 - 210,000; Full time

Job summary

Educology Solutions is seeking a Senior MLOps & Generative AI Engineer to drive enterprise-scale AI initiatives in a healthcare-oriented setting. You will design scalable ML infrastructure, CI/CD for AI workloads, and robust governance for models used across clinical and operational domains.

You will collaborate with AI Scientists, Data Engineers, and Software Engineers to deploy GenAI and ML solutions, emphasizing reliability, security, and regulatory compliance in production healthcare

Qualifications

• 5+ years of experience building and deploying production software, ML systems, or AI platforms.
• 1+ years of hands-on experience building production Generative AI or LLM-based applications.
• Strong Python programming skills and software engineering best practices.
• Experience with PyTorch, Hugging Face Transformers, TensorFlow or equivalent.
• Hands-on experience implementing RAG architectures, vector search, embeddings, prompt engineering, and LLM orchestration frameworks.
• Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Milvus, or equivalent technologies.
• Experience deploying AI/ML systems in cloud environments including AWS, Azure, or GCP.
• Strong understanding of APIs, distributed systems, microservices, and scalable backend architectures.
• Experience with Kubernetes, containerization, orchestration, and cloud-native infrastructure.
• Experience implementing CI/CD pipelines, infrastructure automation, and MLOps best practices.
• Experience building monitoring, observability, and alerting solutions for ML and AI systems.
• Strong understanding of AI/ML lifecycle management, governance, model versioning, and production operations.
• Experience designing secure, scalable, production-ready AI platforms and services.
• Strong communication and collaboration skills with the ability to work across technical and business teams.

Responsibilities

• Design, build, and maintain scalable ML infrastructure and pipelines for training, deployment, monitoring, governance, and lifecycle management.
• Develop and optimize CI/CD pipelines for ML workloads across dev, staging, and production.
• Build reusable ML platform capabilities including feature stores, model registries, experimentation frameworks, artifact management, deployment automation.
• Implement scalable orchestration for batch and real-time ML inference workloads.
• Create robust monitoring to measure model performance, detect drift, and ensure production reliability.
• Develop automation tools and self-service capabilities to improve MLOps efficiency and reliability.
• Collaborate with Data Scientists and Software Engineers to streamline the ML lifecycle from experimentation to production.
• Apply software engineering best practices to AI/ML systems including testing, observability, resiliency, security, and IaC.
• Identify gaps and architect scalable improvements to the ML platform ecosystem.
• Support enterprise AI governance, compliance, auditability, and model risk management.

Skills

Python programming

AI/ML lifecycle management

Distributed systems

Communication skills

Mentoring engineers

Tools

PyTorch

Hugging Face Transformers

TensorFlow

Pinecone

Weaviate

Chroma

FAISS

Milvus

Kubernetes

AWS

Azure

GCP

Job description

Educology Solutions is seeking a Senior MLOps & Generative AI Engineer to drive enterprise-scale AI initiatives in a healthcare-oriented setting. You will design scalable ML infrastructure, CI/CD for AI workloads, and robust governance for models used across clinical and operational domains.

You will collaborate with AI Scientists, Data Engineers, and Software Engineers to deploy GenAI and ML solutions, emphasizing reliability, security, and regulatory compliance in production healthcare