- 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 crossfunctional 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 highperformance computing.
- Research and Innovation : Stay uptodate 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 team.
- BTech/ BE/ ME/ MTech/MS/ PhD degree in Computer Science, Machine Learning, or related field.
- Proven experience (35 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 problemsolving 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 nontechnical stakeholders.
- Previous experience in leading and mentoring technical teams is a plus.
- Demonstrated ability to work in a collaborative, fastpaced environment and adapt to new technologies and methodologies.
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AI/ML Engineer - india, India - Sam manpower services & Career LLP
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Description
Key Responsibilities :
Qualifications :
Location :
Pan India
)