Ai/Ml Architect

Summary

Join our team to develop and implement cutting-edge AI and GenAI applications for various industries. Collaborate with cross-functional teams to design, deploy, and maintain these solutions. Leverage your expertise in IoT, ERP, and CRM systems to integrate data sources and ensure seamless operation. Utilize your proficiency in Python, Computer Vision, and machine learning frameworks to build high-performing models. Contribute to industry-leading viewpoints and provide technical guidance to enhance AI system performance and scalability. This role requires significant experience in AI/ML and GenAI, along with proven leadership skills in data science and AI solution development.

Requirements

• 7-15 years of hands-on experience in AI/ML and GenAI
• Prior experience in leading teams that develop data science/GenAI/AI solutions
• Proven track record of developing AI models in areas such as channel analytics, marketing & customer experience, analytics, predictive maintenance, production optimization, and connected products
• Exposure to IOT/ERP/CRM systems and understanding of their integration with AI solutions
• Experience with cloud platforms, preferably Azure/AWS, and familiarity with GCP
• Excellent communication, customer service, and problem-solving skills

Responsibilities

• Develop and implement AI models and GenAI applications to address business challenges in semiconductors, enterprise technology, consumer technology, medical technology and related industries
• Collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments
• Create industry-leading points-of-view in the client domains you are working on that ensures our positioning as a value-partner
• Utilize your expertise in IoT-IIoT/ERP/CRM systems to integrate data sources and ensure seamless operation of AI solutions
• Design and develop machine learning models using Python, with proficiency in Computer Vision techniques like OpenCV
• Architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems
• Design and implement GenAI based solutions through contextual prompt engineering and prompt tuning and supporting solution architects on the design of GenAI-powered solutions/assets

Preferred Qualifications

• Familiarity with deep learning, machine learning frameworks (like Keras, TensorFlow or PyTorch etc.)
• Experience in using HuggingFace Transformers and libraries
• Experience optimizing model hyperparameter tuning for speed and cost
• Experience with Docker