Job description

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).

Technical Lead - AI / ML

Lead Data Scientist - AI/ML Engineer