Principal - EdgeAI & GenAI

Job Description:

Experience: A minimum of 10 years in the analytics industry, with proven expertise in delivering projects related to data modernization, predictive plant operations, supply chain analytics, and digital twin technologies. Strong understanding of key industry challenges and data complexities is essential.

AI Expertise: Comprehensive knowledge of AI technologies, including machine learning, computer vision, natural language processing, and predictive analytics.

Key Responsibilities:

• Define and implement generative AI strategies aligned with organizational goals.
• Lead presales efforts by consulting with clients, understanding their needs, and developing customized AI solutions.
• Document comprehensive technical artifacts and establish best practices for implementing Python libraries and deploying models on various cloud platforms.
• Lead a team of leads and developers in building Proof of Concepts (POCs) for various customers.
• Engage directly with clients as an independent contributor, effectively communicating complex AI scenarios and strategic recommendations.
• Share knowledge and mentor team members to enhance their expertise in generative AI technologies.
• Ensure AI solutions adhere to quality and ethical standards while optimizing their performance for reliability and efficiency in production.
• Spearhead change management processes to assist organizations in integrating AI-driven technologies into existing systems.

Skills and Competencies:

• Strong communication skills with the ability to manage various stakeholder relationships and gain consensus on complex technical solutions.
• Extensive experience in architecting, designing, and implementing solutions on-premises, in the cloud, and using hybrid models.
• Expertise in the latest AI frameworks with hands-on experience in deploying and fine-tuning generative models, including Transformers, using techniques such as PEFT, LoRA, and QLoRA.
• In-depth experience in fine-tuning and customizing pretrained AI models, with a solid understanding of AI data engineering and large-scale data processing patterns and practices.
• Proficiency in tools and platforms such as Amazon SageMaker, Azure ML Studio, Azure Data Lake, Google BigQuery, AWS S3, Databricks, and Snowflake.
• Advanced programming skills in Python, with the ability to analyze complex AI scenarios and provide strategic recommendations using Python services.

Certifications: Relevant certifications in AI/ML at the Architect/Lead level are preferred.