AI/ML Engineer

Key Skills: NLP, LAMA Model, AI, ML, GenAI, Python, Statistical Modeling, Data Science, Model Training, ML Pipelines, Data Engineering, Model Deployment, Automation, Large-scale Data Pipelines

Roles and Responsibilities:

• Expertise on NLP and LAMA model implementation and optimization.
• Expertise in AI, ML, and Generative AI (GenAI) technologies.
• Identify the right models and train machine learning models based on business requirements.
• Apply machine learning, data science, and statistical modeling techniques to solve complex problems.
• Develop and maintain platforms that automate the creation, training, deployment, and updating of ML models.
• Build, maintain, and optimize scalable machine learning solutions.
• Design and implement large-scale data pipelines to support model training and inference workflows.
• Leverage GenAI knowledge to develop intelligent systems and enhance automation capabilities.

Experience Requirement:

• 3-8 years of experience in implementing and fine-tuning NLP models including LAMA.
• Hands-on expertise in developing AI, ML, and GenAI-based solutions.
• Demonstrated ability in selecting appropriate models, training, and evaluating them for various business use cases.
• Proven experience in Python programming for data science and machine learning development.
• Experience developing and maintaining ML platforms for full model lifecycle automation.
• Built and optimized end-to-end ML pipelines in production environments.
• Knowledge and application of GenAI in practical use cases to drive automation and intelligence.

Education: B.Tech M.Tech (Dual), BCA, B.E., B.Tech, M. Tech, B. Sc