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We are seeking a highly motivated and experienced Team Lead to manage a diverse team of approximately 30 AI Engineers and Full Stack Developers. The ideal candidate will have a strong technical background and a passion for leading people and managing multiple customer-facing projects. You will be responsible for guiding the team's technical direction, fostering their professional growth, and ensuring the successful delivery of high-quality software solutions.
Roles & Responsibilities :
Team Leadership & Management
. Lead, mentor, and manage a team of 30 AI Engineers and Full Stack Developers.
. Foster a collaborative, inclusive, and high-performance team culture.
. Conduct regular performance reviews, provide constructive feedback, and support the career development of team members.
. Manage resource allocation, workload distribution, and project assignments.
Project & Delivery Management
. Oversee the end-to-end lifecycle of multiple customer projects, from initial requirements gathering to final deployment.
. Serve as the primary point of contact between the project team and external stakeholders, including customers.
. Ensure projects are delivered on time, within budget, and to the highest quality standards.
Technical Guidance
. Provide technical direction and architectural oversight on projects involving AI/ML and Full Stack technologies.
. Facilitate technical discussions, and help the team solve complex engineering challenges.
. Promote and enforce software development best practices, including code quality, testing, and CI/CD.
Educational qualification:
Bachelor's degree/Master's degree(BE/ME) in Computer Science, Information Technology, or related field.
Experience :
8 to 12 years of professional experience in the software industry.
Mandatory/requires Skills :
Experience:
Leadership:Proven experience in a leadership capacity, managing and mentoring engineering teams.
Technical Acumen:
Solid understanding ofArtificial IntelligenceandMachine Learningconcepts.
Strong knowledge ofFull Stack Development, including modern front-end (e.g., React, Angular) and back-end (e.g., Python, Java, Node.js) technologies.
Project Management:Experience managing the delivery of customer-facing software projects.
Soft Skills:Excellent communication, interpersonal, and stakeholder management skills.
Education:Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Preferred Qualifications
Direct experience managing a team of 20 or more members.
Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP).
Ability to handle multiple priorities and complex projects.
Relevant certifications such as ITIL, AWS, Azure, GCP, PMP, or Prince2 are preferred.
Soft Skills:
Excellent analytical and problem-solving abilities with strong attention to detail
Effective communication skills inEnglish (C1 level), both written and verbal
Experience working inAgile environments, with tools likeJiraandConfluence
Ability to work independently and collaboratively in a dynamic, international team setting.
8 to 12 years of proven experience as a in a leadership capacity, managing and mentoring engineering teams.
Job ID: 149295559
Skills:
Devops, Cloud Technologies, Machine Learning, Agile Process, Sql, Deep Learning, LLM Prompt Engineering, GenAI, No-SQL databases, Python Programming Language
Skills:
vertex , pruning , Machine Learning, Deep Learning, Kubernetes, AWS, Generative AI, Model Optimization Techniques, Distributed Training, Inference Infrastructure, Model Training, Quantization, Caching, SageMaker, Cloud ML Infrastructure, MLOps Infrastructure, Data Fabric
Skills:
AWS AI Services, AWS AI Platforms, SparkML, AWS AI Frameworks, AWS AI EC2 Instances
Skills:
Java, Google Cloud Platform, Scala, Hipaa, Tensorflow, MLops, Pytorch, Microsoft Azure, Python, AWS, AI ML architecture, Healthcare IT standards, Scikit-learn, CI CD
Skills:
statistical data analysis , Software Development, Artificial Intelligence, Machine Learning, model factories, multi-agent orchestration, high-bandwidth evaluation factory, agentic engineering, self-service analytics platforms, Experimental Design