AI Engineer / Senior AI Engineer

About the job

Requirement: Locations: Pune Experience: 5+ years Notice Period: Immediate Joiner to 30 days Role: AI Engineer / Senior AI Engineer Work Mode: WFO Payroll: Millennium Tech Link Interview process - 2 Rounds of Interview; 1st Round will be Virtual; 2nd Round will be F2F Skill: Qualifications: • Bachelor’s or Master’s degree in Computer Science or related field with 3 to 5 years of work experience. • Proficiency in Python and ML libraries (TensorFlow, PyTorch). • Experience in deploying machine learning models. • Understanding of statistics and data modeling. Position Overview: AI Engineers are responsible for designing and implementing artificial intelligent models and systems that solve complex problems through automation and data analysis. They work closely with data scientists and software engineers to integrate AI solutions into scalable and efficient products. Key Responsibilities: • Design, develop, and deploy AI and machine learning models for various business applications. • Collaborate with cross-functional teams to define AI-driven features and improvements. • Create and maintain data pipelines for model training and inference. • Monitor and evaluate model performance and retrain as necessary. • Work with AI frameworks such as TensorFlow, PyTorch, and Scikit-learn. • Ensure AI systems are ethically designed and compliant with relevant guidelines. • Document model development processes and experiments. • Integrate AI models into backend systems or APIs. • Stay current with research and trends in AI and ML. • Contribute to technical documentation and project reports.

Requirements

• Python
• TensorFlow
• PyTorch
• Statistics
• Data modeling

Qualifications

• Bachelor’s or Master’s degree in Computer Science
• 3 to 5 years of work experience

Preferred Technologies

• Python
• TensorFlow
• PyTorch
• Statistics
• Data modeling

About the company

Responsible for designing and implementing artificial intelligence models and systems that solve complex problems through automation and data analysis. Works closely with data scientists and software engineers to integrate AI solutions into scalable and efficient products.