Technical Lead - AI / ML

WHO WE ARE:

We are looking for a passionate and skilled Python, AI/ML Lead Engineer with 7+ years of experience to join our team. As a Python/AI Lead, you will oversee the development and implementation of machine learning models, AI-driven solutions, and data-driven products. You will guide a team of engineers and collaborate with cross-functional teams to ensure the timely and high-quality delivery of projects. If you thrive in a fast-paced environment and love solving complex problems using data and intelligent algorithms, we d love to hear from you.

WHAT YOU LL DO:

• Lead the design, development, and deployment of Gen AI and machine learning solutions using Python.
• Provide technical guidance and mentorship to team members, ensuring code quality, best practices, and performance optimization.
• Collaborate with product managers, data scientists, and other stakeholders to define project requirements and objectives.
• Take ownership of the full software development lifecycle (SDLC), from design to deployment, maintenance, and optimization.
• Perform code reviews, write technical documentation, and maintain high standards of software quality.
• Stay up to date with the latest trends and advancements in AI, machine learning, and Python development.
• Identify and mitigate technical risks in projects while ensuring timely delivery.
• Foster a collaborative environment and promote knowledge sharing across the engineering team.

WHAT YOU LL NEED:

• 7+ years of professional experience in Python development, with at least 2 years in a technical leadership role.
• Strong hands-on experience with AI/ML frameworks, Gen AI LLMs and libraries such as TensorFlow, Scikit-learn,or Keras.
• Python - Strong hands-on experience.
• Machine Learning - Practical knowledge of supervised, unsupervised, and deep learning techniques.
• Generative AI - Experience working with LLMs or similar GenAI technologies.
• API Development - RESTful APIs and integration of ML models into production services.
• Databases - Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, etc.).

Good to Have Skills:

• Cloud Platforms - Familiarity with AWS, Azure, or Google Cloud Platform (GCP).
• TypeScript/JavaScript - Frontend or full-stack exposure for ML product interfaces.
• Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, etc.)
• Exposure to containerization (Docker) and orchestration (Kubernetes).