Artificial Intelligence Engineer

AI Engineer

Location: Chennai

Experience: 2+ Years

Employment Type: Full-time

About Us:

At RoshAi, we are at the forefront of AI-driven innovation, building cutting-edge autonomous systems and intelligent solutions for diverse industry applications. Our work spans autonomous mobility, deep learning, AI-driven automation, and advanced machine learning models that shape the future of intelligent technology. If you are passionate about AI and eager to solve real-world challenges, we invite you to join our team.

Role Overview:

As an AI Engineer, you will design, develop, and optimize AI/ML models to power our innovative solutions. You will work closely with cross-functional teams, leveraging AI to drive automation, improve efficiency, and create intelligent systems.

Key Responsibilities:

-Develop and implement AI/ML models for real-world applications in autonomous systems, robotics, and intelligent automation.

-Design, train, and optimize deep learning architectures for computer vision, sensor fusion, and NLP tasks.

Work with large-scale datasets to improve model accuracy and efficiency.

-Deploy AI models into production using MLOps and cloud-based architectures.

-Collaborate with software engineers, data scientists, and domain experts to integrate AI solutions into business processes.

-Continuously improve and fine-tune models through real-world testing and iterative development.

-Research and stay updated on the latest AI advancements, applying new methodologies to enhance existing solutions.

Required Skills & Qualifications:

-2+ years of experience in AI/ML development with hands-on expertise in deep learning, computer vision, NLP, or reinforcement learning.

-Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or JAX.

-Strong knowledge of ML algorithms, model optimization, and neural network architectures.

-Experience with data preprocessing, augmentation techniques, and handling large datasets.

-Hands-on experience with cloud AI/ML platforms (AWS, GCP, Azure) and MLOps tools.

-Familiarity with Docker, Kubernetes, and model deployment pipelines is a plus.

-Strong problem-solving skills and ability to work in a fast-paced, agile environment.

-A degree in Computer Science, AI, Machine Learning, Data Science, or a related field.

Preferred Qualifications:

-Knowledge in real-time decision-making systems and AI applications.

-Experience in Robotics and Autonomous systems.

-Contributions to open-source AI projects or research publications in AI/ML.

Why Join Us

-Work on cutting-edge AI solutions that shape the future.

-Collaborative and innovative work environment with opportunities to learn and grow.

-Competitive salary, benefits, and career growth opportunities.

-Hands-on experience with real-world AI applications in autonomous systems.

If you're ready to push the boundaries of AI and work on impactful projects, we'd love to hear from you!