Associate Data Science Consultant

We are seeking a highly skilled AI Engineer to design, implement, and maintain artificial intelligence (AI) and machine learning (ML) solutions. The role involves designing scalable conversational and Agentic AI/ML solutions, writing high-quality code in Python, Scala, integrating and preparing data, developing and maintaining ML models using TensorFlow, Keras, and PyTorch, and collaborating with cross-functional teams. The consultant will also develop data pipelines, monitor model performance, and stay updated with emerging AI/ML technologies.

Must Have

• Design and implement scalable conversational, Agentic AI and ML solutions.
• Write high-quality, maintainable code using Python, Scala, or similar programming languages.
• Integrate data from various sources, transforming and preparing it for AI Agent development.
• Develop and maintain machine learning models using tools such as TensorFlow, Keras, and PyTorch.
• Collaborate with cross-functional teams to identify opportunities for AI and ML solutions.
• Develop and maintain data pipelines and ETL processes to support AI and ML workflows.
• Monitor and optimize model performance, accuracy, and scalability.
• Stay up to date with emerging AI and ML technologies.
• Provide technical guidance and mentorship to other members of the AI engineering and software development teams.
• Develop and maintain chatbots and voice assistants using tools such as Dialogflow, Amazon Lex, and Microsoft Bot Framework.
• Develop and maintain integrations with third-party systems and APIs to support conversational AI workflows.
• Troubleshoot and resolve technical issues related to AI model deployment, data processing, and cloud infrastructure.
• Develop and maintain technical documentation, including architecture diagrams, design documents, and standard operating procedures.
• Research new upcoming, understand art of possible for Agentic AI and AI Algorithms.
• Evaluate and select appropriate AI tools and frameworks based on project requirements.

Scope:

We are seeking a highly skilled AI Engineer to design, implement, and maintain artificial intelligence (AI) and machine learning (ML) solutions for our organization. The ideal candidate will have a deep understanding of AI and ML technologies, as well as experience with data analysis, software development, and cloud computing.

Primary Responsibilities:

• Design and implement Scalable conversational, Agentic AI and ML solutions to solve business problems and to improve customer experience and operational efficiency.
• Write high-quality, maintainable code using Python, Scala, or similar programming languages, focusing on AI/ML libraries and frameworks
• Integrate data from various sources, transforming and preparing it for AI Agent development, ensuring data quality and integrity
• Develop and maintain machine learning models using tools such as TensorFlow, Keras, and PyTorch
• Collaborate with cross-functional teams to identify opportunities for AI and ML solutions and develop prototypes and proof-of-concepts.
• Develop and maintain data pipelines and ETL processes to support AI and ML workflows.
• Monitor and optimize model performance, accuracy, and scalability
• Stay up to date with emerging AI and ML technologies and evaluate their potential impact on our organization.
• Provide technical guidance and mentorship to other members of the AI engineering and software development teams.
• Develop and maintain chatbots and voice assistants using tools such as Dialogflow, Amazon Lex, and Microsoft Bot Framework
• Develop and maintain integrations with third-party systems and APIs to support conversational AI workflows.
• Troubleshoot and resolve technical issues related to AI model deployment, data processing, and cloud infrastructure.
• Develop and maintain technical documentation, including architecture diagrams, design documents, and standard operating procedures.
• Research new upcoming, understand art of possible for Agentic AI and AI Algorithms
• Evaluate and select appropriate AI tools and frameworks based on project requirements.