5 Mldl Frameworks Jobs

As a Lead AI Developer at Aumento Technologies & Consulting Services Pvt Ltd, you will play a crucial role in bridging business requirements with cutting-edge AI solutions. You will independently design, develop, and deploy enterprise-grade AI systems, including RAG (Retrieval-Augmented Generation) based applications. **Key Responsibilities:** - Collaborate with business stakeholders to identify and scope AI/ML/GenAI opportunities - Lead development of RAG-based AI solutions, integrating LLMs with enterprise data sources - Design and implement data pipelines, embeddings, and vector databases for retrieval-based systems - Build and optimize machine learning, deep learning, NLP, and generative AI models - Deploy AI solutions into production on cloud platforms (SAP BTP AI Core, Azure ML, AWS Sagemaker, GCP Vertex AI) - Establish best practices in MLOps (CI/CD, monitoring, model retraining, governance) - Mentor junior AI developers and contribute to reusable AI accelerators **Required Skills & Experience:** - Bachelors/Masters degree in Computer Science, Data Science, AI/ML, or related field - 6+ years of experience in AI/ML development, with 2+ years in a lead/architect role - Strong programming in Python and experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn) - Hands-on expertise in Generative AI, RAG pipelines, vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus) - Experience with LLM integration (OpenAI, Anthropic, Hugging Face, LangChain, LlamaIndex, etc.) - Strong knowledge of NLP techniques: embeddings, transformers, summarization, question answering - Experience with cloud-based AI development (SAP BTP AI Core preferred, Azure, AWS, GCP) - Understanding of MLOps & model lifecycle management - Ability to articulate business requirements and convert them into scalable AI solutions **Good to Have:** - Experience integrating AI with SAP ecosystem (SAC, BTP, DataSphere, Integration Suite) - Domain exposure in Manufacturing, CPG industries, Pharma, Automotive - Knowledge of prompt engineering and fine-tuning LLMs - Experience in data security, governance, and responsible AI If you are passionate about building AI solutions that blend machine learning, generative AI, and RAG for real-world impact, do not hesitate to apply. Join us to lead cutting-edge AI & GenAI initiatives across industries and be part of an entrepreneurial, collaborative work environment with competitive compensation and fast-track growth opportunities.,

As a Senior Systems Software Engineer at WinAI, you will play a crucial role in solving client-side AI challenges on Windows PCs with limited resources. You will be partnering with NVIDIA software, research, architecture, and product teams to align strategies and technical needs for encouraging the ecosystem of AI on Windows RTX PCs. Collaboration with Microsoft will be essential to advance AI across critical domains such as graphics, web browsers, and edge devices by driving innovation in technologies like WindowsML, ONNX Runtime, and NVIDIA's proprietary libraries and driver stack. Your responsibilities will include improving performance on current and next-generation GPU architectures through in-depth analysis and optimization of AI models, data processing pipelines, and inference runtime features. You will also be identifying, evaluating, and implementing compute and memory optimization techniques for large AI models, such as quantization, distillation, and pruning, to fine-tune and compress models to fit edge devices. To qualify for this role, you should hold a Bachelor's, Master's, or PhD in Computer Science, Software Engineering, Mathematics, or a related field, or possess equivalent experience. Proficiency in C++ programming and debugging, along with a strong understanding of data structures and algorithms, is required. You should have at least 5 years of experience in AI inferencing pipelines and applications using ML/DL frameworks like ONNX RT, DirectML, PyTorch, and Tensor RT. Strong analytical and problem-solving abilities are essential, along with effective multitasking skills in a dynamic environment. Excellent written and oral communication skills are also necessary for successful collaboration with management and engineering teams. To stand out from the crowd, having an understanding of modern techniques in Machine Learning, Deep Neural Networks, and Generative AI, with relevant contributions to major open-source projects, will be advantageous. A consistent track record of delivering end-to-end products with geographically distributed teams in multinational product companies will also be a plus. Proficiency in lower-level system/GPU programming, CUDA, and developing high-performance systems, as well as hands-on experience with building applications using APIs like ONNX RT, DirectML, DirectX, PyTorch, TensorRT, and Vulkan, are highly desirable. At WinAI, we are committed to innovation and growth, offering competitive salaries and a generous benefits package. As an equal-opportunity employer, we value diversity within our company. If you are a creative and autonomous engineer with a genuine passion for technology, we welcome you to join our exclusive engineering teams that are experiencing unprecedented growth.,

You should have 5 to 8 years of good working experience in NLP. Your experience should include working with Text Classification, NER models for fine-tuning and zeroshot applications. Proficiency in Huggingface and Pytorch is required. Additionally, experience with Document Processing is expected. In Python / AI Engineering, you should be proficient in building re-usable and scalable data pipelines using Python. Experience with NoSQL databases, data analysis, ML/DL frameworks, web API frameworks, and unit testing frameworks is necessary. Experience with Microservices and Cloud technologies is essential, including Docker, ECS / EKS. Good experience with at least one cloud service provider, with AWS being preferable. General requirements for the role include the ability to handle large-scale unstructured data and a willingness to learn new frameworks to stay updated with the latest NLP developments. About Virtusa: Virtusa values teamwork, quality of life, and professional and personal development. As part of a global team of 30,000 professionals, you can expect exciting projects, opportunities to work with state-of-the-art technologies, and support for your growth throughout your career with Virtusa. At Virtusa, collaboration and a team-oriented environment are highly valued. We provide a dynamic space for great minds to nurture new ideas and strive for excellence.,

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Advanced analytics techniques are utilized to help clients optimize operations and achieve strategic goals. As a Data Analyst at PwC, the emphasis is on utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Skills in data manipulation, visualization, and statistical modeling are leveraged to assist clients in solving complex business problems. Candidates with 4+ years of hands-on experience are preferred for the role of GenAI Data Scientist at PwC US - Acceleration Center. The Senior Associate level position requires a highly skilled individual with a strong background in data science, particularly focusing on GenAI technologies. The ideal candidate should possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Responsibilities include collaborating with product, engineering, and domain experts to identify high-impact GenAI opportunities, designing and building GenAI and Agentic AI solutions end-to-end, processing structured and unstructured data for LLM workflows, validating and evaluating models, containerizing and deploying production workloads, communicating findings and insights, and staying current with GenAI advancements. Requirements for this position include a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, 1-2 years of hands-on experience delivering GenAI solutions, proficiency in Python with additional experience in R or Scala, experience with vector stores and search technologies, expertise in data preprocessing, feature engineering, and statistical experimentation, competence with cloud services across Azure, AWS, or Google Cloud, proficiency in data visualization, and strong problem-solving skills. Nice to have skills include relevant certifications in GenAI tools and technologies, hands-on experience with leading agent orchestration platforms, proven experience in chatbot design and development, practical knowledge of ML/DL frameworks, and proficiency in object-oriented programming with languages such as Java, C++, or C#. Candidates with a background in BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA or any related degree are encouraged to apply for this challenging role at PwC US - Acceleration Center.,

As a GenAI Data Scientist at PwC US - Acceleration Center, you will be responsible for developing and implementing machine learning models and algorithms for GenAI projects. Your role will involve collaborating with product, engineering, and domain experts to identify high-impact opportunities, designing and building GenAI and Agentic AI solutions, processing structured and unstructured data for LLM workflows, validating and evaluating models, containerizing and deploying production workloads, communicating findings via various mediums, and staying updated with GenAI advancements. You should possess a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, along with 1-2 years of hands-on experience delivering GenAI solutions and 3-5 years of deploying machine learning solutions in production environments. Proficiency in Python, experience with vector stores and search technologies, familiarity with LLM-backed agent frameworks, expertise in data preprocessing and feature engineering, competence with cloud services, solid grasp of Git workflows and CI/CD pipelines, and proficiency in data visualization are essential requirements. Additionally, having relevant certifications in GenAI tools, hands-on experience with leading agent orchestration platforms, expertise in chatbot design, practical knowledge of ML/DL frameworks, and proficiency in object-oriented programming with languages like Java, C++, or C# are considered as nice-to-have skills. The ideal candidate should possess strong problem-solving skills, a collaborative mindset, and the ability to thrive in a fast-paced environment. If you are passionate about leveraging data to drive insights and make informed business decisions, this role offers an exciting opportunity to contribute to cutting-edge GenAI projects and drive innovation in the field of data science.,