AI Model Integration Engineer

"The key role includes : - -Help in implementation of new AI / ML tools by developing suitable codes for the useful AI / ML models.

• Work closely with data scientists, AI engineers, product managers, and other developers to implement and integrate AI models into applications or systems.
• Write scripts to clean, preprocess, and transform raw data into formats suitable for training machine learning models.
• Write code to deploy machine learning models into production environments (e.G., web services, cloud platforms).
• Create automated pipelines for training, testing, and deploying machine learning models.
• Develop and test AI-based applications for real-world tasks, such as computer vision, natural language processing (NLP), or recommendation systems."

Essential Qualification

B.E / B.Tech / M.Tech / MCA / MBA / PG in Computer Science and allied fields with First Division or with minimum 60% marks in aggregate from a recognized University / Institution

Desirable Skills / Certifications

"Industry certifications like Certified Artificial Intelligence Consultant (CAIC),AWS Certified Machine Learning or other industry equivalent certifications.

Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Machine Learning, or a related field."

Work Exp

Minimum of 3 years in AI / ML development, with hands-on experience in implementing machine learning algorithms and working with Large Language Models (LLMs), OpenAI, Ollama, and Generative AI technologies.Proven experience in helping the implementation of new AI / ML tools by developing suitable code for deploying and optimizing useful AI / ML models.