Let's Enkindle - Team Lead - Artificial Intelligence/Machine Learning

Role : AI/ML Team Lead

Job Summary :

We are looking for an experienced AI/ML Engineer to lead our AI-driven projects and manage a team of engineers. The ideal candidate will have a strong background in artificial intelligence, machine learning, data science, and Python programming. As a Project Lead, you will be responsible for overseeing the development, implementation, and optimization of AI models, ensuring successful project execution, and guiding a team of AI/ML professionals.

Key Responsibilities :

- Lead AI/ML projects from ideation to deployment, ensuring timely delivery and quality output.

- Manage and mentor a team of AI/ML engineers, fostering a culture of innovation and collaboration.

- Design, develop, and optimize machine learning models, deep learning architectures, and data-driven solutions.

- Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to define project requirements and deliverables.

- Stay updated with the latest advancements in AI/ML, integrating relevant technologies and best practices.

- Ensure scalability, efficiency, and reliability of AI models in production environments.

- Develop and maintain technical documentation, reports, and presentations for both technical

and non-technical audiences.

- Conduct code reviews and enforce best coding practices for maintainable and efficient

codebases.

Required Skills & Qualifications :

- Education : Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

- Experience : Minimum 5 years of hands-on experience in AI/ML, with at least 2 years in a leadership or project management role.

Technical Skills :

- Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).

- Strong understanding of supervised and unsupervised learning algorithms, deep learning, NLP, and computer vision.

- Experience with data preprocessing, feature engineering, and model tuning.

- Hands-on experience in deploying AI/ML models in production environments.

- Knowledge of cloud platforms (AWS, GCP, Azure) and containerization tools (Docker,

Kubernetes).

- Familiarity with big data technologies like Hadoop, Spark, or Databricks is a plus.

Leadership & Management Skills :

- Proven experience in managing and mentoring AI/ML teams.

- Ability to handle multiple projects and ensure alignment with business objectives.

- Excellent problem-solving and decision-making skills.

- Strong communication skills to convey complex AI concepts to non-technical stakeholders.