233 Machine Learning Architect jobs in Hyderabad

• Design and architect end-to-end AI/ML solutions, from data ingestion and preprocessing to model training, evaluation, and deployment.
• Collaborate with business units to identify opportunities for leveraging AI and ML to solve complex problems and drive business value.
• Select appropriate algorithms, frameworks, and tools for AI/ML projects.
• Develop prototypes and proof-of-concepts to demonstrate the feasibility and potential impact of AI solutions.
• Provide technical leadership and guidance to data scientists and software engineers throughout the project lifecycle.
• Ensure the scalability, performance, and robustness of deployed AI/ML systems.
• Evaluate and recommend emerging AI technologies and methodologies.
• Develop and maintain documentation for AI architectures and solutions.
• Contribute to thought leadership in the AI space through research, publications, and presentations.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Proven experience (5+ years) as an AI/ML Engineer, Data Scientist, or Solutions Architect with a focus on AI.
• Strong expertise in machine learning algorithms (e.g., supervised, unsupervised, deep learning), statistical modeling, and data mining techniques.
• Proficiency in programming languages such as Python, R, or Java, and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Solid understanding of data engineering principles and MLOps best practices.
• Excellent problem-solving and analytical skills.
• Strong communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

NVIDIA is known as “the AI computing company.” Come, join our Deep Learning team, where you can help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. We are currently seeking an experienced senior software engineer with strong Deep Learning and System Programming fundamentals coupled with robust C/C++ skills to contribute to the development of NVIDIA Maxine Audio - a comprehensive suite of SDKs, Microservices and APIs that enable AI-driven features for video conferencing, content creation and gaming.

What you’ll be doing:

• Architect and lead development of next-generation Deep Learning and multimedia algorithms for processing of speech and audio applications.

• Train Speech Enhancement models, assess them for quality, performance, and finetune them.

• Analyze model accuracy and bias and recommend the next course of action & Improvements.

• Improve processes for speech data processing, augmentation, filtering & training sets preparation.

• Optimize algorithms for optimal performance on the GPU tensor cores

• Collaborate with various teams to drive an end to end workflow from data curation and training to performance optimization and deployment

• Influence strategic decisions in the team and product roadmap

• Partner with system software engineers and validation teams to build and ship production-quality code.

What we need to see:

• PH.D./MS in Computer Science or a closely related engineering field with 3+ years of relevant experience

• Strong background in Deep Learning including model design, pruning & performance optimization, transfer learning etc

• 4+ years of experience of leading cross-module projects and taking them to productization

• Strong software engineering background with proficiency in C or C++

• Hands-on expertise with PyTorch, TensorRT, CuDNN and one or more Deep Learning frameworks (Tensorflow, Keras etc)

• Familiarity/expertize with various cloud frameworks e.g. AWS, GCP, Azure is a big plus

• CUDA programming experience is a plus

• Excellent communication and collaboration skills

• Self-motivated and able to find creative practical solutions to problems

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Greetings from TCS!

TCS is Hiring for ML Engineer (Deep Learning/Generative AI)

Interview Mode: Virtual

Required Experience: 10-16 years

Work location: PAN INDIA

Required Skills:

• Degree in computer science, artificial intelligence, or IT.
• Strong knowledge of AI methodologies, including generative models, machine learning (ML), reinforcement learning, and natural language processing (NLP).
• Design, implement, and optimize generative AI architectures and models.
• Collaborate with data scientists and analysts to collect, preprocess, and manage large datasets, ensuring data quality and integrity for model training.
• Collaborate with cross-functional teams to integrate AI models into production environments, ensuring seamless deployment and operational efficiency.
• Fine-tune and optimize AI models for specific applications, focusing on improving accuracy, efficiency, and scalability.
• Experience of cloud-based platforms (e.g., AWS, Azure, GCP) to develop and deploy scalable AI solutions, ensuring high availability and performance.
• Implement MLOps best practices for continuous integration and deployment (CI/CD) of AI models, including monitoring, logging, and version control.
• Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).
• Experience in developing and deploying AI/Gen AI based systems in production.
• Provide technical guidance and mentorship to junior engineers and team members, fostering a culture of knowledge sharing and continuous learning.

• Conduct cutting-edge research in deep learning, neural networks, and related AI fields.
• Develop novel algorithms, models, and methodologies to address complex AI challenges.
• Design and implement experiments to validate research hypotheses and evaluate model performance.
• Publish research findings in leading AI conferences (e.g., NeurIPS, ICML, ICLR) and journals.
• Collaborate with cross-functional teams, including engineers and product managers, to transition research into production systems.
• Mentor and guide junior researchers and engineers.
• Stay abreast of the latest advancements and trends in AI and machine learning.
• Contribute to the intellectual property and patent applications of the company.
• Represent the company at conferences and engage with the broader AI research community.
• Identify and explore new research avenues and opportunities.
• Ensure research is aligned with business objectives and market needs.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Extensive experience (typically 7+ years post-PhD or equivalent) in AI research, with a specialization in deep learning.
• Demonstrated track record of impactful research contributions, including publications in top-tier AI venues.
• Deep understanding of various deep learning architectures (CNNs, RNNs, Transformers, GANs, etc.).
• Proficiency in programming languages such as Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with large-scale datasets and distributed training systems.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
• Proven leadership capabilities and experience mentoring junior researchers.
• Ability to work independently and as part of a collaborative research team.
• Familiarity with cloud computing platforms (AWS, GCP, Azure) is a plus.

• Conduct original research in areas such as natural language processing, computer vision, reinforcement learning, or generative models.
• Design, implement, and evaluate advanced deep learning architectures using frameworks like TensorFlow, PyTorch, or JAX.
• Collaborate with cross-functional teams of engineers, product managers, and other researchers to translate research findings into practical applications and product features.
• Stay abreast of the latest advancements in AI and machine learning by reading research papers, attending conferences, and contributing to the scientific community.
• Mentor junior researchers and engineers, fostering a culture of innovation and knowledge sharing.
• Develop and maintain robust documentation for research projects and methodologies.
• Contribute to the intellectual property portfolio through patents and publications in top-tier conferences and journals.
• Optimize models for performance, scalability, and deployment in production environments.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of progressive research experience in deep learning and AI.
• Proven track record of publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
• Expertise in at least one major deep learning framework (TensorFlow, PyTorch, JAX).
• Strong programming skills in Python and experience with relevant libraries (NumPy, SciPy, Pandas).
• Experience with cloud platforms (AWS, GCP, Azure) for AI/ML workloads is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to effectively present complex technical concepts to diverse audiences.