292 Ml Frameworks Jobs - Page 4

As a Tech Lead Data Scientist at Aera Technology, you will play a crucial role in implementing high-impact ML solutions for enterprise customers. Your primary focus will be on solving complex customer problems by applying advanced Data Science techniques during implementation projects. You will need to quickly understand, analyze, and diagnose client-specific issues, providing robust analytical insights and technical resolutions. Additionally, you will work closely with the internal Data Science Product team to influence future tooling and features, while leading and mentoring a small team of data scientists. **Responsibilities:** - **Data Science Customer Success & Problem Solving:** - Act ...

As an AI Solutions Architect, you will play a crucial role in transforming complex business challenges into intelligent and scalable AI solutions. Your responsibilities will include: - Designing end-to-end AI/ML architectures for enterprise use cases - Translating business requirements into technical plans, prototypes, and scalable systems - Collaborating closely with engineering, analytics, and product teams to deliver AI-powered features - Leading solution design for LLMs, RAG systems, predictive models, and automation workflows - Evaluating tools, frameworks, and cloud services (AWS/Azure/GCP) for best-fit design - Creating documentation, solution blueprints, and best practices - Supporti...

HCLTech is a global technology company, home to more than 226,500+ people across 60 countries, delivering industry-leading capabilities centered around AI, digital, engineering, cloud and software, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, High Tech, Semiconductor, Telecom and Media, Retail and CPG, Mobility and Public Services. HCLTech is looking for a highly talented and self- motivated Enterprise Architect ( AI / GenAI / Cloud) to join in advancing the technological world through innovation and creativity. Role: Enterpri...

AI Solutions Architect About the Role We're looking for an AI Solutions Architect who can turn complex business challenges into intelligent, scalable AI solutions. You'll work at the intersection of data, engineering, and product , designing architectures that power automation, analytics, and enterprise AI adoption. If you enjoy building end-to-end AI systems, influencing strategy, and working directly with stakeholders, this role is for you. What You'll Do Design end-to-end AI/ML architectures for enterprise use cases Translate business requirements into technical plans, prototypes, and scalable systems Work closely with engineering, analytics, and product teams to deliver AI-powered featur...

As an Enterprise Architect (AI/GenAI/Cloud) at HCLTech, you will play a crucial role in advancing the technological world through innovation and creativity. With 12-20 years of experience, you will be responsible for designing scalable architecture that integrates AI capabilities into existing ecosystems. Your key responsibilities will include: - Designing AI/ML models on cloud platforms - Building and managing data pipelines - Selecting and deploying models - Exhibiting a deep understanding of GenAI concepts such as Generative Models, NLP, Image generation, and Reinforcement Learning - Demonstrating strong knowledge of Deep Learning including Neural networks, transformers, RNNs, and CNNs - ...

About The Role Applied AI is a horizontal AI team at Uber partnering with product and platform teams across the company to deliver cutting-edge machine learning solutions for core business problems. We specialize in areas like Generative AI, Computer Vision, Personalization, and the ML infrastructure needed to scale these systems in production. We're looking for a Staff Engineer with deep experience in classical machine learning, generative AI, and ML systems design to help build and scale high-impact AI solutions. In this role, you'll lead technically complex projects, influence the architecture of ML systems, and collaborate cross-functionally to drive innovation and impact across multiple...

Job Description Basic Qualifications: BS or MS degree in CS or related engineering or science field with 3+ years of relevant experience Experience with benchmarking and troubleshooting or optimizing performance of a system. Experience with coding, scripting, and automation. Background in Networking. General Linux skills. Demonstrated ability to lead complex projects, independently resolve ambiguity, collaborate with stakeholders across teams, and communicate effectively. Desired qualifications: Experience working on clusters, e.g., running HPC/AI workloads, or maintaining an HPC/AI system. Experience troubleshooting or tuning performance on distributed systems. Familiarity with elements of ...

Company Description Syngenta Seeds Syngenta Seeds is one of the world's largest developers and producers of seed for farmers, commercial growers, retailers and small seed companies. Syngenta seeds improve the quality and yields of crops. High-quality seeds ensure better and more productive crops, which is why farmers invest in them. Advanced seeds help mitigate risks such as disease and drought and allow farmers to grow food using less land, less water and fewer inputs. Syngenta Seeds brings farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions. Syngenta Seeds is headquartered in the U...

Define organizational AI strategy Lead a dynamic team and work in a fast paced environment Job Description As the AI lead, you will be responsible for - . Define and execute the AI / GenAI strategy for Operations, Risk, Underwriting & Claims, and Customer Service functions. . Partner with business heads to identify high-value GenAI use cases and prioritize by ROI, speed-to-value and regulatory sensitivity. . Act as the chief evangelist for Generative AI - educate stakeholders, run pilots, and drive scaled adoption while ensuring safety and compliance. . Establish robust frameworks to track and communicate the value and ROI of AI initiatives to all stakeholders. . Lead design and delivery of ...

Role Overview: As an AI Engineer, your primary responsibility will be to architect, develop, and deploy advanced AI solutions covering Machine Learning, Generative AI, NLP, and LLMs. You will need to stay updated on the latest AI advancements, actively research and integrate emerging trends, and technologies like LLMOps, Large Model Deployments, LLM Security, and Vector Databases. Collaborating closely with cross-functional teams, including business units, accounts teams, researchers, and engineers, will be essential to translate business requirements into actionable AI solutions. Additionally, you must exhibit expertise in responsible AI practices to ensure fairness, transparency, and inter...

Hello Visionary! We empower our people to stay resilient and relevant in a constantly evolving world. We're looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you Then it seems like you'd make a phenomenal addition to our vibrant team. Siemens Mobility is an independent handled company of Siemens AG. Its core business includes rail vehicles, rail automation and electrification solutions, turnkey systems, intelligent road traffic technology and related services. The Information Technology (IT) department has the global responsibility for the internal IT of Siemens Mobility. Its goa...

As a Senior AI Engineer at our company, you will be responsible for leading the design, development, and deployment of cutting-edge AI and machine learning models. Your expertise in algorithms, deep learning, data engineering, and software development will be crucial in solving real-world problems through AI. Key Responsibilities: - Design and develop scalable AI and machine learning models to tackle complex business challenges. - Lead end-to-end model development process including data collection, preprocessing, training, validation, deployment, and monitoring. - Collaborate with cross-functional teams such as data engineers, software developers, and product managers. - Optimize existing AI...

Role Overview: At PwC, you will be part of the software and product innovation team focused on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. Your role will involve combining technical experience with creative thinking to deliver innovative software products and solutions. As a software engineer at PwC, your main focus will be on developing innovative software solutions to drive digital transformation and enhance business performance. You will utilize your knowledge to design, code, and test cutting-edge applications that revolutionize industries and deliver exceptional user experiences. Key Responsibilities: - Design and impl...

Role Overview: As a highly skilled Full Stack AI Automation Engineer, you will be responsible for designing, building, and maintaining intelligent automation systems that utilize AI to optimize business processes. This role requires expertise in AI/ML, backend development, frontend interfaces, and DevOps. You will have the opportunity to create end-to-end solutions, connect APIs, automate workflows, and deploy scalable AI-powered applications, making this ideal for someone who enjoys building complete solutions and implementing AI capabilities through automation. Key Responsibilities: - Design and develop full-stack automation platforms using Python for backend logic and modern frontend fram...

As a Machine Learning Engineer and AI Developer with a minimum of 5 years of experience, you will be responsible for the following: - Deep expertise in various machine learning algorithms and techniques such as supervised/unsupervised learning, deep learning, and reinforcement learning. - Solid experience in Natural Language Processing (NLP) including language models, text generation, and sentiment analysis. - Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, and transformers. - Expertise in Agentic AI and the ability to build real-world applications using frameworks like Langgraph, ADK, Autogen, etc. - Hands-on experience in developing and dep...

As an AI leader in our organization, you will play a pivotal role in designing and implementing cutting-edge AI solutions that drive value across various functions such as Operations, Risk, Underwriting & Claims, and Customer Service. Your responsibilities will include evangelizing and shaping our Generative AI strategy while maintaining a balance between strategic foresight and execution discipline. This position offers a unique opportunity to lead the transformation of our operational processes and embed intelligence in our digital initiatives. Key Responsibilities: - Lead the development and deployment of AI/ML solutions within the BFSI sector, with a focus on the insurance and financial ...

Why join CombineHealth The best engineers don't just write code they change industries. We're building an army of AI workers to solve the biggest issues in US healthcare, and we need exceptional engineers who are passionate about building state-of-the-art agentic systems. Impact: Build cutting-edge AI systems that directly improve healthcare outcomes and patient lives. Excellence: Work with exceptional engineers in a fast-moving startup environment where your work matters immediately. Ownership: Take full ownership as a forward-deployed engineer working directly with customers and product. What you'll do (Responsibilities) We're looking for an exceptional engineer with 1-3 years of experienc...

Company: Experts Pro (https://expertspro.io) Program: Kodo (https://kodotalent.com) CTC (Yearly): Upto ?5,00,000 Minimum Experience: 3 years in AI/ML Work Arrangement: Work from Office Office Location: Nava India, Coimbatore Responsibilities: Deliver comprehensive training modules in Artificial Intelligence and Machine Learning aligned with the Kodo fast-track curriculum. Mentor students, review assignments, and facilitate hands-on projects with real client involvement. Conduct webinars and workshops, answering student queries and providing guidance. Collaborate with fellow trainers and program coordinators for unified curriculum delivery. Maintain updated training materials, progress record...

Role & responsibilities Design and build robust, maintainable software systems to support data pipelines, analytics, and AI applications. Collaborate with domain experts to scope, build, and iterate on AI-driven tools tailored to business needs. Develop efficient data ingestion, transformation, and validation pipelines using Python, SQL, and modern libraries. Integrate large language models (LLMs) and generative AI APIs (e.g., OpenAI, HuggingFace) into internal tooling. Create clean, intuitive user interfaces and data visualizations with libraries like Plotly and Dash. Optimize database access and performance for large structured and semi-structured datasets. Ensure tools are scalable, secur...

As an SRE / DevOps professional at ACL Digital, you will be responsible for the following key responsibilities: - Demonstrating ability in designing, building, refactoring, and releasing software written in Python. - Having hands-on experience with ML frameworks such as PyTorch, TensorFlow, and Triton. - Ability to handle framework-related issues, version upgrades, and compatibility with data processing / model training environments. - Experience with AI/ML model training and inferencing platforms is a big plus. - Experience with the LLM fine-tuning system is a big plus. - Possessing debugging and triaging skills. - Proficiency in cloud technologies like Kubernetes, Docker, and Linux fundame...

Role Overview: You will be working as an Engineering Manager in the AI team at UKG, where you will lead and mentor a team of 10+ software engineers focusing on various AI/ML/GenAI-driven initiatives. Your responsibilities will include overseeing the end-to-end delivery of AI solutions, guiding your team through the entire software and machine learning lifecycle, from ideation and design to deployment and continuous improvement. Collaboration with engineering leaders, data scientists, product managers, and other stakeholders will be crucial to deliver high-quality AI applications that power UKG's products and services. Responsibilities: - Leadership and Mentorship: Lead, mentor, and develop a...

Computer Vision Engineer Job Summary We are seeking an experienced Computer Vision Engineer to join our Video Analytics team. In this role, you will develop advanced AI-powered surveillance solutions for security applications across various environments. Working collaboratively with cross-functional teams, you'll be responsible for creating sophisticated algorithms that enhance security through vehicle analysis, intrusion detection, behavioral monitoring, and object recognition in real-world security environments. Key Responsibilities Develop and optimize computer vision algorithms for security surveillance applications Work actively as part of the Computer Vision and Deep Learning team to t...

Title: SRE & Devops Engineer (ML Framework) Job Functions: You will be a member of our AI Platform Team, supporting the next generation AI architecture for various research and engineering teams within the organization. You'll partner with vendors and the infrastructure engineering team for security and service availability You'll fix production issues with engineering teams, researchers, data scientists, including performance and functional issues Diagnose and solve customer technical problems Participate in training customers and prepare reports on customer issues Be responsible for customer service improvements and recommend product improvements Write support documentation You'll design a...

enhance performance and user experience. Responsibilities: Develop and maintain software applications using generative AI technologies. Work with cross functional teams to implement and optimize AI driven features. Fine tune generative AI models for improved accuracy and performance. Integrate AI solutions into existing systems and platforms. Qualifications: Experience in software development with a focus on generative AI. Proficiency in programming languages such as Python or JavaScript. Familiarity with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch). Strong problem solving and collaboration skills. Preferred Skills: Experience with NLP and data preprocessing techniques. Knowled...

You will be responsible for designing and implementing end-to-end ML pipelines using Databricks and Azure. Additionally, you will develop, train, and deploy machine learning models for various business use cases. Your role will involve data preprocessing, feature engineering, and model optimization on large datasets. It will also be essential to integrate ML models with production systems and ensure performance monitoring. Collaboration with cross-functional teams to understand business needs and deliver effective ML solutions is a crucial aspect of the job. Furthermore, staying updated with the latest trends in ML, DL, and AI frameworks is expected. Key Responsibilities: - Design and implem...