Senior AI / ML Engineer
Experience : Minimum 5 years
Location : Work from Office, Mohali / Chandigarh
Type : Full-time
Job Summary
We are hiring a Senior AI / ML Engineer with strong expertise in LLMs, Generative AI, and machine learning to build intelligent, production-ready AI systems and conversational bots. The ideal candidate has strong hands-on experience with modern AI techniques, model training, problem-solving, and building production-ready systems.
Key Responsibilities
- Build and optimize machine learning and deep learning models.
- Work with large datasets for training, validation, and testing.
- Develop scalable ML pipelines and APIs.
- Deploy models into production using standard engineering practices.
- Collaborate with cross-functional teams (engineering, product, leadership).
- Design and build AI-powered bots using LLMs and GenAI frameworks.
- Develop, fine-tune, and optimize large language models for various conversational and analytical tasks.
- Perform research and stay updated with the latest AI advancements.
- Maintain documentation, model performance metrics, and ensure continuous improvements.
Educational Qualification
Bachelor’s or Master’s (Master's Prefered) degree in :o Computer Science
o Artificial Intelligence / Machine Learning
o Data Science
o Engineering (CSE / ECE / IT)
o Or an equivalent strong academic background
Professional Experience
Minimum 5 years of hands-on experience in Machine Learning or Deep Learning.Demonstrated experience in training and deploying ML models.Practical experience building bots or conversational AI systems .Experience working on end-to-end AI projects in a production environment.Strong problem-solving and algorithmic thinking.Technical Skills
Strong proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn).Experience with Deep Learning frameworks (PyTorch or TensorFlow).Understanding of modern ML techniques, model evaluation, feature engineering, and optimization.Experience building and deploying APIs (FastAPI / Flask / Django).Experience with cloud platforms (AWS / GCP / Azure) and version control (Git).Familiarity with data engineering concepts and model lifecycle management.Soft Skills
Strong communication and documentation ability.Ability to take ownership and work independently.Team-oriented, proactive, and driven mindset.Ability to translate complex problems into practical solutions.DM me or apply on this job post.
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