Senior Machine Learning Expert – Generative AI/NLP

0.0 - 5.0 years

0.0 Lacs P.A.

Kailash Colony, Delhi, Delhi

Posted:3 weeks ago| Platform: Indeed logo

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Skills Required

learningaicoachingcuttingmldesigndevelopmentdatalabelingmodelpythontensorflowpytorchtrainingprocessingengineeringlogicscalingschedule

Work Mode

On-site

Job Type

Full Time

Job Description

Senior Machine Learning Expert – Generative AI/NLP Location: South Delhi, Delhi Experience: Minimum 4–5 years in applied Machine Learning Job Type: Full-time | On-site About Us We're building AI-powered systems that are revolutionizing business coaching —helping thousands of business owners scale efficiently and without chaos. If you're passionate about building cutting-edge ML models that go into production and impact real businesses, we'd love to meet you. What You’ll Do As a Senior Machine Learning Expert , you'll be at the heart of our AI initiatives: Design, develop, and deploy production-grade machine learning models. Build and scale Generative AI applications integrated into real-world business workflows. Lead the development of advanced NLP systems—ideally having owned/led at least one major NLP project. Fine-tune models using proprietary business coaching data. Oversee data pipelines for labeling, cleaning, and preparation. Evaluate and optimize model performance for continuous improvement. Must-Have Skills & Qualifications 4–5+ years of hands-on experience in machine learning, with models deployed in production. Proficiency in Python , TensorFlow , and PyTorch . Experience with Hugging Face , Transformers , and custom model training. Strong foundation in Natural Language Processing (NLP) . Expertise in data engineering and building robust ML workflows. Proven ability to translate complex business logic into intelligent ML systems. Why Join Us? Work on transformative AI projects with real-world impact. Collaborate with a passionate, visionary team. Be part of a company that's scaling rapidly in a high-growth industry. Your models won’t just sit in notebooks—they’ll go live and make a difference. Ready to apply? Submit your resume or share your LinkedIn profile today! Job Types: Full-time, Permanent Pay: ₹40,000.00 - ₹60,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Yearly bonus Work Location: In person

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