Lead Software Engineer, AI/ML implementation

• Lead the 

  planning, design, and execution

   of Applied GenAI projects, aligning them with business objectives and technical requirements.
• Collaborate with cross-functional teams including 

  engineers, data scientists, and business stakeholders

   to deliver impactful GenAI solutions.
• Provide 

  technical leadership and mentorship

  , fostering a culture of innovation and continuous improvement.
• Conduct thorough assessments of client needs to design 

  tailored GenAI strategies

   addressing specific business challenges.
• Configure GenAI models using 

  prompt engineering, keyword tuning, rules, preferences, and weightages

   for customer-specific datasets.
• Oversee 

  deployment and integration

   of GenAI models into production environments, ensuring scalability, reliability, and performance.
• Demonstrate 

  strong troubleshooting abilities

   using tools such as SQL, Kibana Logs, and Azure AppInsights.
• Monitor solution performance and provide 

  data-driven recommendations

   for enhancements and optimization.
• Stay current with the 

  latest GenAI advancements

  , incorporating best practices into implementation.
• Prepare and present 

  reports, documentation, and demos

   to clients and senior leadership, showcasing progress and insights.
• Conduct GenAI 

  proof-of-concepts

   and demonstrations exploring the art of the possible in AI applications.

Qualifications

• Bachelor’s or Master’s degree in 

  Computer Science, Engineering

  , or a related field.
• Extensive experience in 

  AI/ML

   with a focus on 

  Generative AI technologies

  .
• Proven success in leading and delivering complex AI projects.
• Strong understanding of 

  GenAI frameworks, tools, and methodologies

  .
• Excellent 

  problem-solving, strategic thinking

  , and project management skills.
• Exceptional 

  communication and collaboration

   abilities with diverse teams and stakeholders.
• Experience with 

  cloud platforms

   and AI deployments in cloud environments (Azure preferred).

Preferred Skills

• Hands-on experience with 

  GenAI-based products

   and 

  prompt engineering

  .
• Proficiency in 

  text analytics/NLP

  , including machine learning techniques and algorithms.
• Skilled in 

  text mining, parsing, and classification

   using state-of-the-art techniques.
• Expertise in the 

  Microsoft technology stack

  .
• Good knowledge of 

  client-side scripting

  : JavaScript and jQuery.
• Understanding of 

  ethical AI principles

   and best practices in implementation.
• Proficiency in 

  Python, R, Java

  , and 

  Regex expressions

  .
• Experience using 

  requirement management tools

   like TFS.
• Strong verbal and written communication skills with the ability to 

  influence peers and leadership

  .