2 месяца назад
Databricks MLOps Engineer (Contract)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Databricks MLOps Engineer (Contract) (Databricks, Spark, Python, Scala): Automating end-to-end machine learning lifecycle delivery on Databricks with an accent on CI/CD infrastructure, model packaging, deployment, reproducible experimentation, and scalable job orchestration. Focus on integrating embedding models, RAG architectures, vector databases, and LangChain agentic workflows while optimizing ML workload performance and reliability.
Location: Mumbai, India
Company
delivers analytics and AI solutions for business and claims payment integrity.
What you will do
- Automate the end-to-end machine learning lifecycle on Databricks, including environment setup, workflows, scheduling, and monitoring.
- Build reusable frameworks, templates, and utilities for reproducible and scalable ML experimentation.
- Implement CI/CD pipelines and package, version, and deploy machine learning models into Databricks environments.
- Automate training, retraining, evaluation, and scheduled execution of ML workloads.
- Enable embedding models, RAG architectures, vector databases, and LangChain agentic workflows for LLM and GenAI solutions.
- Collaborate with data scientists, AI/ML engineers, platform teams, and business stakeholders to productionize models and improve workload performance.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 6–9 years of experience in ML Engineering, MLOps, or platform engineering.
- Strong hands-on experience with Databricks, Spark, Python, and Scala.
- Experience with MLflow, model tracking, packaging, registration, cloud deployment, and ML lifecycle automation.
- Strong CI/CD experience with Git, GitHub Actions, Jenkins, or Azure DevOps.
- Experience integrating embedding models, semantic vectors, LLM-driven components, and LangChain agentic workflows.
Nice to have
- Experience with Azure OpenAI or OpenAI-compatible LLM APIs.
- Healthcare claims, payment integrity, fraud and waste analytics, provider billing, pricing, call center, RCM, or EHR datasets.
- Experience in Agile/Scrum environments.
- Strong software engineering practices for packaging and dependency management.
Culture & Benefits
- Full-time contract engagement.
- Cross-functional collaboration across product, engineering, analytics, and claims payment integrity teams.
- Focus on scalable, reliable, and automated ML delivery.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →