Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Natural Language Processing (NLP)
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As an AI/ML Engineer, you will develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Your role will involve applying GenAI models as part of the solution, and may also include deep learning, neural networks, chatbots, and image processing. Join our team and contribute to cutting-edge AI technology. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Collaborate with stakeholders to understand business requirements and translate them into AI/ML solutions. - Design and develop AI/ML models and algorithms to solve complex business problems. - Implement and optimize AI/ML models in production environments. - Perform data preprocessing, feature engineering, and data augmentation to improve model performance. - Evaluate and select appropriate AI/ML techniques and tools for different use cases. - Stay up-to-date with the latest advancements in AI/ML technologies and methodologies. - Collaborate with cross-functional teams to integrate AI/ML solutions into existing systems. - Ensure the security, scalability, and reliability of AI/ML applications. - Document and communicate AI/ML solutions to technical and non-technical stakeholders. - Provide technical guidance and mentorship to junior team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP). - Experience with cloud AI services and tools such as AWS SageMaker or Google Cloud AI Platform. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on experience implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 7.5 years of experience in Natural Language Processing (NLP). - This position is based at our Chennai office. - A 15 years full-time education is required.