HCL - Artificial Intelligence/Machine Learning Developer - Python/Tensorflow
4 weeks ago
Job Description:
We are seeking a highly skilled and experienced AI/ML Engineer to join our dynamic team. The ideal candidate will have a strong background in software development, machine learning, deep learning, generative AI, reinforcement learning, and excellent problem-solving skills. As a Developer, you will be responsible for designing and implementing cutting-edge solutions, leading a team of developers, and collaborating with cross-functional teams to deliver high-quality products. Proficiency in Python, PyTorch, CUDA, GPU programming, TensorFlow, and other relevant technologies is essential for this role.
Key Responsibilities:
- Architectural Design: Design and develop scalable, efficient, and reliable software architectures for machine learning, deep learning, generative AI, and reinforcement learning projects.
- Technical Leadership: Lead and mentor a team of software engineers and data scientists, providing technical guidance, expertise, and best practices to ensure the successful implementation of machine learning solutions.
- Algorithm Development: Develop and optimize machine learning algorithms, deep learning models, generative AI models, and reinforcement learning strategies to solve complex business problems.
- Collaboration: Collaborate with cross-functional teams including product managers, data scientists, and researchers to define project requirements, design solutions, and ensure seamless integration of machine learning components into the software applications.
- Coding and Programming: Write clean, efficient, and maintainable code in Python, leveraging frameworks such as PyTorch, TensorFlow, and CUDA/GPU programming for high-performance computing.
- Research and Innovation: Stay up-to-date with the latest advancements in machine learning, deep learning, generative AI, and reinforcement learning technologies. Apply innovative solutions to enhance existing products and develop new applications.
- Quality Assurance: Conduct thorough testing, validation, and debugging of machine learning models and software applications to ensure accuracy, reliability, and robustness.
- Documentation: Prepare detailed technical documentation, including architecture diagrams, design documents, and code comments, to facilitate efficient collaboration and knowledge transfer within the BTech/ BE/ ME/ MTech/MS/ PhD degree in Computer Science, Machine Learning, or related field.
- Proven experience (2+ years) in software development and architecting machine learning, deep learning, generative AI, and reinforcement learning solutions.
- Strong proficiency in programming languages such as Python.
- Expertise in machine learning frameworks such as PyTorch and TensorFlow.
- Experience with CUDA and GPU programming for accelerated computing.
- Solid understanding of algorithms, data structures, and software engineering principles.
- Excellent problem-solving skills and the ability to translate complex requirements into efficient technical solutions.
- Strong communication skills, both written and verbal, with the ability to explain complex concepts to non-technical stakeholders.
- Previous experience in leading and mentoring technical teams is a plus.
- Demonstrated ability to work in a collaborative, fast-paced environment and adapt to new technology
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