AI Manager

Job Description:

Responsibilities

• Spearhead the design, development and deployment of Generative AI solutions tailored for Honeywell business requirements.
• Provide technical leadership, mentorship and coaching to Data Scientists and AI/ML engineers. Develop top talents to build an effective and high performing team. Direct and support the team members to complete all the project deliverables.
• Work closely with cross-functional teams to align AI initiatives, ensuring smooth integration of LLM solutions with existing enterprise systems.
• Engage with senior leadership, providing regular updates on project milestones, risks, and achievements.
• Identify business requirements and opportunities for Generative AI use cases and work with key stakeholders to create new project / business case. 
• Define best practices and consistent framework for deployment of Generative AI applications, implementing robust LLMOps process and reinforcing Responsible AI principles.
• Drive operational excellence activities required to ensure a streamlined production process of data science deliveries.
• Actively lead, analyze, and recommend highly complex business opportunities, through assessments/workshops, detailed data analysis/modeling and overall end-end solutioning to propose predictive, AI Driven solutions that drive the most business value with sustained impact. 
•  Stay updated with advancements in AI, specifically Generative AI technologies, and identify potential applications in the enterprise space. 
• Continuously optimize the existing AI/ML operations and help build effective model performance monitoring, alert, and improvement framework to proactively identify problems/issues before business impact. 
• Partner and effectively communicate with Non-IT / Business users, functional counterparts, and stakeholders to understand the underlying business problem, and work with the extended team to define and communicate the right 

Qualification & Experience

• Bachelors in Computer Science, Data Science or Engineering fields
• 6+ years of IT experience in solution architect / data scientist / software development for large corporate/organizations
• 4+ years of experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc
• 4+ years of hands-on experience with Python and/or R programming and statistical packages, and ML libraries such as scikit-learn, Keras, TensorFlow, PyTorch, MXNet, etc, and/or natural language processing using NLTK, spaCy, Gensim, etc.
• 2+ years of experience in building IT use cases / solutions especially around AI/ML cognitive services, based on Cloud infrastructure and services such as Azure and/or AWS cloud platforms.
• Excellent understanding of Machine Learning techniques and proficiency in feature analysis, algorithm selection and model hyperparameter tuning.
• Demonstrated experience in people skills and project management.
• Master’s Degree in Computer Science, Data Science or Engineering fields
• Hands-on project experience with Generative AI
• Project experience with NLP/NLG, AI Conversational Agent (Chatbot)
• Experience with Azure OpenAI, Azure Databricks, Airflow, etc.
• Working Experience in an Agile/Scrum/Scaled Agile and DevOps based team environment
• Certifications AI / ML and Cloud platforms
• Great communication skills