Highlights
Innovative technology, real-time performance optimization, collaboration with multi-disciplinary teams.
Description
Job Summary
pWe are seeking an AI/ML and Deep Learning Engineer to contribute to the development of advanced drone technologies. The ideal candidate will have a strong background in machine learning, deep learning, and software engineering.
Responsibilities
- Design, develop, and deploy scalable AI/ML architectures and models for integration with our systems.
- Optimise models for real-time performance to ensure efficient production environments.
- Implement MLOps pipelines for continuous monitoring and retraining of AI/ML models.
- Develop AI-driven automation systems for data classification and processing.
- Collaborate with engineering teams to integrate AI solutions into other system components.
- Document technical specifications, methodologies, and results for future reference.
Required Skills
- Machine Learning Algorithms
- Deep Learning Frameworks (TensorFlow, PyTorch)
- Data Storage Technologies
- Model Optimization Techniques
- DevOps Practices (Docker, Kubernetes)
Required Skills Explained
- Strong foundation in machine learning algorithms, neural networks, and deep learning architectures.
- Proficiency in feature engineering, model training, and hyperparameter optimization.
- 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 specialized ML libraries and tools.
- Expert experience deploying and managing AI/ML workflows on cloud platforms (AWS, GCP, Azure ML).
- Understanding of design principles such as infrastructure-as-code.
- Experience with big data technologies such as Apache Spark, Kafka, and Snowflake.
- Skills in data storage, preparation, transformation, query optimization, and feature extraction pipelines.
- Expertise in model optimization techniques including quantisation, pruning, and ONNX conversion.
- Experience with DevOps, Docker, Kubernetes, and CI/CD pipelines for ML model deployment.
Who is this for
pThis position is ideal for experienced AI/ML and Deep Learning Engineers who are passionate about developing innovative drone technologies. The role requires a strong technical background in machine learning, software engineering, and cloud infrastructure.
Why This Job is a Good Opportunity
ulliOpportunity to work on cutting-edge technology in drone and allied technologies.liCollaborate with leading researchers at IIT Bombay, Mumbai.liPotential to contribute to significant government-funded projects.liRapid growth area with high demand for skilled professionals.liFlexible role that allows integration of AI solutions into various systems.
Interview Preparation Tips
- Familiarize yourself with machine learning algorithms and their applications in real-time scenarios.
- Prepare examples of projects or contributions related to deep learning frameworks like TensorFlow or PyTorch.
- Be ready to discuss your experience with cloud platforms such as AWS, GCP, and Azure ML.
- Showcase your knowledge of big data technologies and pipelines for data processing.
- Discuss any hands-on experience you have with model optimization techniques.
- Prepare a portfolio or examples of DevOps practices related to AI/ML deployments.
Career Growth in This Role
pThis role provides a solid foundation for career growth in the field of AI and ML. With expertise in developing and deploying scalable AI architectures, you can advance to higher positions within research institutions or transition into leadership roles overseeing teams of engineers. Additionally, this experience can open doors to consulting opportunities or starting your own tech venture focused on AI/ML solutions.pThe project's focus on real-time applications and MLOps practices will help you build a comprehensive skill set that is highly valuable in the industry. As technology evolves, staying at the forefront of AI research and development through this role can lead to innovation and significant contributions to the field.
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Skills
Frequently Asked Questions
What are the key qualifications needed?A Ph.D., MTech/ME, BTech/B.E., or relevant experience in machine learning and deep learning.
What programming languages are required?Advanced Python skills with experience in TensorFlow and PyTorch.
Is experience in cloud platforms needed?Yes, expertise in deploying AI/ML workflows on AWS, GCP, or Azure ML is required.
