6 - 11 years
20 - 25 Lacs
Posted:20 hours ago|
Platform:
Work from Office
Full Time
JL - 5A
Location:
Bangalore, Pune, Jaipur, Chennai, Hyderabad
Job Type:Full-Time
Brief: We are looking for a Technology Lead with experience to lead a technical team
of AI/ GenAI developers and engineers. The role involves facilitating development and
deploying AI solutions, ensuring project success.
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
Clarity Consulting
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