Urgent: Technical Lead

2 weeks ago

Pune Chennai Bengaluru, India SE2 Full time

Job Description

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).

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