-
ML Engineer-INTL India
- Insight Global (Boston, MA)
-
Job Description
Insight Global is sourcing for a Senior Machine Learning Engineer to join a global consulting firm within the AI Center of Excellence. In this role, you will support the Team Builder squad focused on building an AI powered recruiting tool for internal stakeholders. This position will be focused on both technical background as well as stakeholder management, serving as the bridge between functional and technical parties. The ideal candidate will have experience developing Generative AI based solutions, using frameworks e.g. Langchain, Llamaindex to build Retrieval augmented generation (RAG), multi agent architectures driven solutions. This position will be a 12-month contract with opportunity for extension or conversion, sitting in India with preference to candidate who can go onsite in the NCR region. Working hours will be 11:00 AM to 7:00 PM IST Monday-Friday.
Pay-rate: $18 to $25/hour USD. Exact pay rate will depend on experience and other factors.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
-Bachelor’s or Master’s degree in Computer Science, Data Science, or Engineering
-At least 7–10 years of professional experience in machine learning and software engineering
-Advanced proficiency in Python for data science, engineering & LLMs
-2+ years of hands-on experience building Generative AI products at scale
-Experience with frameworks such as LangChain, LlamaIndex, and other RAG-based architectures
-Experience with system reliability/production environment, Docker, Airflow, AWS Microservices, etc.
-Familiarity with MLOps tools and CI/CD pipelines
-