AI Engineer (WFO - Chennai)

Overview

Job Role: AI Engineer (WFO - Chennai)

Experience: 2+ years

Job Type: Full Time, Permanent

Job Location: Chennai (5days - work from office)

Notice Period: Immediate to 15days

We are looking for a passionate AI Engineer with 1-3 years of hands-on experience in developing and deploying AI/ML models. You will contribute to designing scalable AI systems, training models, and supporting real-world deployment for autonomous vehicles and other AI-centric applications. If you're enthusiastic about applying your AI skills in impactful projects, join our innovative team.

Roles & Responsibilities:

• Build and optimize AI/ML models for real-time autonomous driving systems.
• Work closely with senior architects and product teams to translate business problems into AI solutions.
• Implement and test deep learning models (e.g., CNNs, transformers) for tasks such as object detection, lane recognition, or natural language understanding.
• Integrate AI models into production environments and contribute to continuous model improvement.
• Collaborate with MLOps teams to ensure reliable deployment through CI/CD pipelines.
• Write clean, well-documented, and efficient code.
• Stay up-to-date with the latest research and best practices in AI and Machine Learning.

Requirements:

Required Technical and Professional Expertise

• 2+ years of experience in AI/ML development and deployment.
• Proficiency in Python and common ML frameworks (TensorFlow, PyTorch).
• Experience with data preprocessing, model training, evaluation, and optimization.
• Solid foundation in machine learning and deep learning algorithms.
• Experience working with APIs, model versioning, and deployment workflows.
• Familiarity with computer vision, NLP, or reinforcement learning.
• Hands-on experience with Docker, Git, and cloud services (AWS, GCP, or Azure).
• Strong problem-solving and analytical skills.
• Good communication skills and ability to work in a collaborative environment.

Preferred Skills:

• Experience with real-time inference and edge deployment.
• Familiarity with autonomous systems or robotics applications.
• Exposure to LLMs (e.g., GPT, BERT) or multimodal AI models.
• Experience with RESTful APIs, microservices, and distributed systems.

Educational Qualifications:

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Benefits

• Innovative Projects: Work on cutting-edge AI technologies shaping the future of mobility.
• Collaborative Culture: Join a passionate team pushing boundaries in AI and autonomy.
• Career Growth: Be part of a fast-growing startup with plenty of growth opportunities.
• Benefits: Competitive salary, health insurance (up to ₹20 lakhs), wellness programs, learning & development, mentorship, and performance-based increments.