AI/ML And Deep Learning Engineer

About the Project:

A government-funded initiative at IIT Bombay, Mumbai focusing on the development and demonstration of drone and allied technologies. This project aims to address various applications

• through the utilisation of advanced technologies and critical infrastructure. The project will also
• focus on development, deployment and maintenance of critical technologies and infrastructure
• including AI/ML platforms and tools to enhance drone capabilities and performance.

Job Summary:

We are looking for an experienced AI/ML and Deep Learning Engineer who has strong expertise in developing and deploying machine learning models and architectures with a focus on real-time applications. This role requires technical proficiency in AI/ML technologies and the ability to collaborate effectively within a multi-disciplinary engineering environment. The ideal candidate will be responsible for advancing our AI capabilities, enhancing model performance with best AI/ML practices and solutions, and implementing robust MLOps practices to ensure sustainable and scalable AI solutions.

Roles and Responsibilities:

• ● Design, develop and deploy scalable AI/ML architectures and models for integration with our systems.
• ● Optimise models for real-time interface, ensuring efficient and effective performance in production environments.
• ● Implement and maintain MLOps pipelines for continuous monitoring, evaluation, and retraining of AI/ML models.
• ● Develop AI-driven automation systems for data classification and processing.
• ● Collaborate with multi-disciplinary engineering teams to integrate AI solutions with other system components.
• ● Document technical specifications, methodologies, and results for collaboration, knowledge sharing and future reference.

Qualifications and Key Skills Required:

• ● Ph.D. with relevant experience or
• ● MTech / ME or equivalent degree with relevant experience or
• ● BTech / BE or equivalent degree with relevant experience

Machine Learning and Deep Learning:

• ● Strong foundation in machine learning algorithms, neural networks, and deep learning
• architectures.
• ● Proficiency in feature engineering, model training, and hyperparameter optimization.

Programming and Development:

• ● Advanced Python programming skills with experience in software engineering best practices.
• ● Extensive experience with deep learning frameworks such as TensorFlow and PyTorch.
• ● Working knowledge of Scikit-learn and other specialised ML libraries and tools.

AI/ML Cloud and Infrastructure:

• ● Expert experience deploying and managing AI/ML workflows on cloud platforms (AWS,
• GCP, Azure ML).
• ● Understanding of design principles such as infrastructure-as-code and more.

Data Engineering:

● Experience with big data technologies such as Apache Spark, Kafka, and Snowflake.

● Skills in data storage, preparation, transformation, query optimisation, and feature extraction pipelines.

Model Optimization and Deployment:

• ● Expertise in model optimization techniques including quantisation, pruning, and ONNX
• conversion.
• ● Experience with DevOps, Docker, Kubernetes and CI/CD pipelines for ML model deployment.