Technology Lead - Delivery - Bangalo, Pune, Jaipur, Chennai, Hyderaba

Role & responsibilities

Brief:

Responsibilities:

• Leading the design, implementation and maintenance of AI/GenAI models based scalable solutions on cloud platforms like Azure, AWS, IBM Watson, GCS and other cloud platforms 
• Create Project Plans for AIML/GenAI projects 
• Code reviews and feedback to the team 
• Oversee front-end and back-end development, ensuring seamless integration and performance optimization. 
• Design and implement robust data structures to support AI model training, deployment, and management. 
• Manage and execute project management activities, ensuring timely delivery and adherence to project goals. 
• Monitor project progress, identify issues, and implement corrective actions as needed. 
• Solving complex functional and technical problems, provide innovative solutions 
• Manage and mentor a team of engineers, fostering a collaborative and high-performance work environment. 
• Engage with stakeholders to understand requirements, provide updates, and ensure alignment with business objectives. 
• Implement project governance practices to ensure compliance and effective project execution. 
• Collaborate with cross-functional teams to drive project success and achieve organizational goals. 
• Drive initiatives that will result in savings and improvement in efficiency 

Must-have Qualifications:

• Engineering Graduate with a minimum of 5 years exp in AIML/GenAI 
• Proven experience in leading AI/ML/GenAI model deployment projects and managing cross-functional teams. 
• Proficiency in Python language 
• Experience in front-end and back-end development, data structuring, and project management. 
• Excellent problem-solving skills and the ability to work collaboratively in a team environment. 
• Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders. 
• Understanding of security best practices in cloud environments 
• Proven track record in project governance and stakeholder management. 

Good-to-have Qualifications:

• Certification from leading providers like Microsoft, Google, IBM, AWS (e.g., Azure Data Science Associate, AWS Certified Machine Learning) 
• Expertise in Microsoft Azure, including Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure DevOps. 
• Experience with infrastructure as code (IaC) tools like Terraform, ARM templates, or Bicep. 
• Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes 

Preferred candidate profile