Showing 7,389 Lead Machine Learning Engineer Jobs in Indianapolis In
Key Responsibilities: - Design and implement advanced Generative AI models to solve complex problems. - Collaborate with cross-functional teams to integrate AI solutions into existing systems. - Conduct research and stay updated with the latest advancements in NLP and AI technologies. - Develop scal
Role & responsibilities We are looking for a Senior / Lead GenAI Engineer to design and deploy production-grade AI systems for enterprise use cases. In this role, you will build LLM-powered applications such as retrieval-augmented systems, agentic workflows, with a strong focus on scalability, relia
Key Responsibilities Develop and deploy AI/ML models for manufacturing resource allocation process optimization, predictive analytics, and process control. Build models for: Dynamic manufacturing infrastructure allocation across the portfolio for optimal outcomes in production of vaccines and therap
Key Responsibilities: - Design and implement advanced Generative AI models to solve complex problems. - Collaborate with cross-functional teams to integrate AI solutions into existing systems. - Conduct research and stay updated with the latest advancements in NLP and AI technologies. - Develop scal
Role & responsibilities Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could
Role : We are looking for a hands-on AI/ML Developer with strong experience in building and deploying Machine Learning and NLP-based solutions using Python. The candidate should have worked on real-world AI/ML projects and be comfortable taking solutions from experimentation to production. responsib
We invite internship applications from enthusiastic students for interesting Machine Learning projects Skills required: Image Processing, Machine Learning, Deep Learning Job Features Job Category Machine Learning Apply For This Job Name * Email * Phone * Prior Experience on Deep Learning * Disclaime
Roles and Responsibilities : Design and develop innovative NLP models using machine learning algorithms to solve complex business problems. Collaborate with cross-functional teams to integrate NLP solutions into existing systems, ensuring seamless integration and high performance. Conduct research o
Embark on a transformative journey in machine learning (ML) as an intern at Aegion Dynamic Solutions. Join us in shaping the future of AI technologies across various domains while gaining invaluable hands-on experience in data science and ML in an industry setting. Benefits: Opportunity to work with
DEEPEDGE AI INDIA PRIVATE LIMITED is looking for Machine Learning Interns to join our dynamic team and embark on a rewarding career journey Assist in the development and implementation of machine learning models. Collaborate with senior engineers to understand project requirements. Conduct research
Frequently asked questions
Which companies have lead machine learning engineer job vacancies?
Several companies are actively hiring for lead machine learning engineer roles, including Accenture, TekWissen, Tata Consultancy Services, Infosys, and KP GROUP. Exploring these employers is a good starting point for your lead machine learning engineer job search.
What is the salary range for lead machine learning engineer jobs?
The salary range for lead machine learning engineer jobs is subject to variation based on factors such as the candidate's experience, qualifications, and the specific employer's policies. However, within the ₹350,000+ range, there are 6462 lead machine learning engineer openings available.
What are the top industries hiring for lead machine learning engineer jobs?
Lead machine learning engineer roles span a range of industries. The sectors with the most openings include IT Services & Consulting, Software Product, Financial Services, Industrial Machinery, and Logistics, reflecting steady demand for lead machine learning engineer professionals.





