Senior Research Engineer

8 hours ago


Bengaluru, India Talent Worx Full time

- Lead the development of advanced algorithms and methodologies in artificial intelligence and machine learning (AIML) to drive process and product innovation. - Oversee the analysis of extensive datasets to identify complex patterns, trends, and insights, with an emphasis on diagnostics and prognostics for large-scale energy equipment. - Architect and optimize AIML algorithms and models to ensure superior performance and scalability. - Design, conduct, and supervise experiments to assess the efficacy and reliability of AIML-based solutions. - Document and disseminate research findings, methodologies, and implementation strategies for effective knowledge sharing and future reference. - Collaborate with and guide cross-functional teams, including engineers, researchers, and product managers, to seamlessly integrate AIML solutions into existing system platforms. - Stay at the forefront of advancements in AIML, control systems, and signal processing engineering, through literature reviews, and active participation in conferences and seminars. - Lead research initiatives to conceptualize and develop AI solutions for complex industrial challenges. - Mentor junior researchers and contribute to project leadership, ensuring alignment with strategic objectives. - Demonstrate the impact of AI through advanced prototypes and solutions that address real-world problems. - Utilize and advocate for best practices in software libraries, tools, and methodologies to implement efficient, scalable, and reusable solutions. - Drive intellectual property development by authoring invention disclosures and filing patents. - Publish research in high-impact scientific journals and present findings at leading conferences. Requirements equired Qualifications - PhD with 5–10 years of relevant experience or a master's with 8–13 years of relevant experience from a reputed institution. - Extensive understanding and experience in machine learning, artificial intelligence, and related fields. - Proven track record of applying multiple advanced AIML concepts to practical applications. - Proficiency in programming languages and frameworks commonly used in AIML applications, such as Python, TensorFlow, PyTorch, and others. - Expertise in data analysis and manipulation using tools like pandas, NumPy, and proficiency in software development best practices, including version control (e.g., Git) and agile methodologies. - Strong leadership capabilities, excellent problem-solving skills, and ability to think critically and creatively. - Superior communication skills and ability to lead, mentor, and work effectively in a collaborative team environment. - Demonstrated ability to build advanced prototypes and rapidly develop proof-of-concepts to illustrate solution feasibility.



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