Research Scientist - Machine Learning

Roles and responsibilities

• Develop advanced algorithms and methodologies in artificial intelligence, machine learning (AIML), and computer vision to drive process and product innovation.

• Analyze extensive datasets to identify patterns, trends, and insights, with an emphasis on computer vision-based diagnostics, visual inspection, and prognostics for large-scale energy equipment.

• Design and optimize AIML and computer vision algorithms and models, including convolutional neural networks and generative models, to ensure high performance and scalability.

• Design and conduct experiments to assess the efficacy and reliability of AIML-based solutions.

• Document research findings, methodologies, and implementation strategies for effective knowledge sharing and future reference.

• Collaborate with cross-functional teams, including engineers, researchers, and product managers, to integrate AIML solutions into existing system platforms.

• Stay current with advancements in AIML, computer vision, control systems, and signal processing engineering.

• Contribute to research initiatives to conceptualize and develop AI and computer vision solutions for complex industrial challenges, including image-based defect detection, object recognition, and visual analytics.

• Support senior researchers and contribute to project execution, ensuring alignment with strategic objectives.

• Demonstrate the impact of AI through prototypes and solutions that address real-world problems.

• Utilize best practices in software libraries, tools, and methodologies to implement efficient, scalable, and reusable solutions.

• Contribute to intellectual property development by authoring invention disclosures and supporting patent filings.

• Publish research in scientific journals and present findings at conferences.
   

• PhD from a premier Indian institution (IISc, IITs) with 0-2 years of relevant experience, or Masters from a premier Indian institution (IISc, IITs) with 5+ years of relevant experience in AIML or related fields.

• Strong understanding and hands-on experience in machine learning, artificial intelligence, computer vision, and related fields, with knowledge of image processing, object detection, segmentation, and deep learning architectures (e.g., CNNs, Vision Transformers).

• Experience applying AIML and computer vision concepts to practical applications, including industrial visual inspection, image classification, or real-time object detection.

• Proficiency in programming languages and frameworks commonly used in AIML and computer vision applications, such as Python, TensorFlow, PyTorch, OpenCV, and related libraries

• Experience in data analysis and manipulation using tools like pandas, NumPy, and familiarity with software development best practices, including version control (e.g., Git) and agile methodologies.

• Good problem-solving skills and ability to think critically and creatively.

• Strong communication skills and ability to work effectively in a collaborative team environment.

• Ability to build prototypes and develop proof-of-concepts to illustrate solution feasibility.

• A good record of peer-reviewed publications in reputed journals and conferences in AIML, computer vision, or related fields.