475 Reinforcement Learning Jobs - Page 6

Position Overview You will be joining a team transforming healthcare and improving the lives and vitality of the millions of members we serve. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. Your focus will be developing the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions including but not limited to BERT, RoBERTA, and GPT for a number of Natural Language Processing (NLP) tasks. You will be working closely with business stakeholders, Machine Learning Engineers to help us to transform the end to end value chain across various ...

As a Data Science Consultant at the company, your role will involve leveraging your expertise in machine learning and Python to contribute to various Data Science and ML projects. Your key responsibilities will include: - Demonstrating knowledge of end-to-end architecture of Data Science and machine learning projects - Experience in productionizing machine learning models and providing guidance to development teams for implementing machine learning use cases - Providing technology consulting to define the right Data Science and ML use cases - Conducting data collection, profiling, exploratory data analysis (EDA), and data preparation - Developing, tuning, and validating AI models - Utilizing...

As a Senior AI Engineer at our company, you will play a crucial role in leading the evolution of our AI core for gaming applications, with a specific focus on imperfect information games like poker. You will have the chance to work on cutting-edge innovations, collaborate with industry leaders, and establish yourself as a domain expert through publications and conferences. **Key Responsibilities:** - Lead the development and evolution of our AI core, currently built in C++, towards the next generation of algorithms and architectures. - Design, implement, and optimize advanced RL algorithms tailored for imperfect information games. - Research and integrate state-of-the-art techniques in RL, n...

As an AI Engineering Manager, you will play a crucial role in guiding a team of talented engineers to build innovative and high-performance AI solutions. Your responsibilities will include: - **Team Leadership & Development**: - Lead, mentor, and inspire a team of AI/ML engineers and data scientists. - Conduct regular one-on-ones, performance reviews, and provide continuous feedback to support professional growth. - **Technical Strategy & Vision**: - Develop and execute the technical strategy for AI initiatives, aligning it with company-wide goals. - Define the technology stack, architectural patterns, and best practices for model development, deployment, and monitoring. - **Project & Budget...

Company Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globa...

Overview The Workplace Technology (WPT) team is focused on building intelligent and automated solutions that enhance employee productivity, streamline IT processes, and improve digital workplace experiences. As an AI Engineer in this team, you will: Design and build scalable AI-driven solutions to address diverse workplace technology challenges. Create automations using agentic workflows to enable systems that can reason, act, and coordinate across multiple tools and processes. Integrate and adopt to new technologies/platforms to deliver next-generation digital workplace capabilities. Ensure the solutions are secure, reliable, and efficient, supporting the growth and transformation of workpl...

As an Assistant Professor, Associate Professor, or Professor in the Department of CSE-AIML at PES University, Electronic City Campus, Bengaluru, your role involves contributing to teaching, research, and institutional development in alignment with AICTE and university standards. You are expected to possess strong academic and research credentials in Artificial Intelligence, Machine Learning, and related areas of Computer Science. **Key Responsibilities:** - Deliver high-quality teaching in undergraduate and postgraduate programs in CSE and AIML domains. - Develop new courses and upgrade existing ones in alignment with NEP and emerging AI trends. - Mentor and guide students in projects, inter...

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India . Minimum qualifications: Bachelor's degree in Computer Science, or equivalent practical experience. 6 years of experience with software development in one or more programming languages (e.g., Python, C++, Java). Experience in one or more areas of Artificial Intelligence/Machine Learning, such as: Deep Learning, Natural Language Processing (NLP), Computer Vision, Recommendation Systems, Reinforcement Learning, Large Language Models (LLMs), or related fields. Preferred qualifications: 2 years of experience in buildin...

About Trianz Trianz is a leading-edge technology platforms and services company that accelerates digital transformations at Fortune 100 and emerging companies worldwide in data & analytics, digital experiences, cloud infrastructure, and security. The company has developed a disruptive IP Led Transformations vision, strategy, and business model over the past 3 years. Some of the company's IP was recently acquired by AWS and its overall business model has taken off sharply in 2024. Trianz is led by Sri Manchala, a former Special Forces officer from the Indian Army and author of Crossing the Digital Faultline , and a team of veterans from well-known firms such as McKinsey, Deloitte, HCL, KPMG, ...

Job description Some careers shine brighter than others. If you're looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. We are looking for an Agentic AI Developer (5+ years experience) to design, build, and optimize autonomous AI agents that can reason, plan, and take actions independently in complex environments. The ideal candidate will have experience with LLM-based agents, Reinforcement Learning (RL), event-driven architectures, and multi-agent systems. You will work on next...

Who We Are Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We've raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google). Our team is a powerhouse of talent,...

As part of Team Amex at American Express, you will be a part of a culture built on a rich history of innovation, shared values, and unwavering commitment to supporting customers, communities, and colleagues. Your holistic well-being will be comprehensively supported, providing you with numerous opportunities to learn new skills, develop as a leader, and advance your career. Your voice and ideas will be valued, and your work will have a significant impact on defining the future of American Express. Role Overview: - The Credit and Fraud Risk (CFR) team at American Express is dedicated to driving profitable business growth by reducing fraud risk and maintaining industry-leading credit loss rate...

Job Description: You should have at least 5+ years of experience and expertise in Python, R, Java, or similar programming languages. Additionally, you should have expertise in Oracle SQL, PLSQL, and a good understanding of the Oracle Database Landscape and Vector DB. Proficiency in frameworks like LangGraph, PyTorch, or scikit-learn is required. Your strong knowledge should encompass deep learning, NLP, computer vision, and reinforcement learning. Key Responsibilities: - Gain a good understanding of Oracle Databases, SQL, and Pl-SQL code. - Work on AI/ML Development by designing, developing, and implementing scalable machine learning models and AI systems. - Research and apply state-of-the-a...

As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking - Wealth Management, you will be a seasoned member of an agile team, tasked with designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will be responsible for implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives. - Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems - Creates secure and high-quality pr...

As a Lead of multiple Exponential Pods, your role involves delivering AI accelerated software with speed and quality. It is your responsibility to own the delivery outcomes, refine agentic workflows, and mentor teams in AI native engineering. Key Responsibilities: - Manage delivery across Pods using Agentic Software workflows - Review and fine-tune agent workflows for quality, velocity, and reliability - Define and monitor engineering metrics, including velocity, quality, and agent performance - Estimate effort size for workstreams and support proposal creation - Solve delivery bottlenecks and guide teams through ambiguity - Coach engineers and architects on agentic development practices Tec...

Develop and deploy autonomous AI agents that operate, learn, and adapt in real-world environments. Optimize TensorFlow-based models for real-time inference and low-latency decision-making. Enhance agent decision-making abilities through RL, planning, and heuristic algorithms. Design and implement multi-agent architectures using frameworks like LangChain, AutoGPT, CrewAI, or similar. Integrate AI agents with APIs, databases, and messaging systems (Kafka, RabbitMQ, MQTT). Monitor and optimize agent performance using observability tools like OpenTelemetry, ELK stack, or Prometheus. Ensure AI safety, security, and ethical considerations in agent behavior. Collaborate with AI researchers, ML engi...

Design and build scalable AI-driven solutions to address diverse workplace technology challenges. Create automations using agentic workflows to enable systems that can reason, act, and coordinate across multiple tools and processes. Integrate and adopt to new technologies/platforms to deliver next-generation digital workplace capabilities. Ensure the solutions are secure, reliable, and efficient, supporting the growth and transformation of workplace technology services. Your Key Responsibilities AI/ML Solution Development Develop AI/ML solutions that solve complex business and workplace challenges. Design, train, and validate machine learning models tailored to WPT use cases (e.g., IT servic...

Educational Requirements Bachelor of Engineering Service Line Global Delivery Responsibilities Key ResponsibilitiesDefine product features and workflows using structured prompts for AI agents.Prototype solutions using AI tools and validate outputs with stakeholders.Translate business needs into incremental tasks for agentic execution.Collaborate with architects and engineers to integrate AI-generated features.Facilitate workshops to refine requirements and improve product fit.Manage delivery across Pods using Agentic Software workflows.Review and fine-tune agent workflows for quality, velocity, and reliability.Define and monitor engineering metrics (velocity, quality, agent performance).Esti...

As an AI/ML Model Engineer, your role will involve designing, developing, deploying, and maintaining scalable machine learning models and AI-powered applications. You'll collaborate closely with data scientists, data engineers, and product teams to create impactful AI/ML solutions. Here are the key responsibilities you will undertake: - Design, develop, and implement various machine learning models such as supervised, unsupervised, reinforcement learning, and deep learning to address complex business challenges. - Conduct extensive experimentation, evaluate model performance, and iteratively refine models to achieve optimal accuracy and efficiency. - Stay updated with the latest advancements...

As an AI/ML professional with 5+ years of experience, you are expected to have a strong expertise in deep learning encompassing supervised, unsupervised, self-supervised, and reinforcement learning. Additionally, you should be well-versed in Large Language Models including Transformers, self-attention, mixture of experts, and embeddings. Key Responsibilities: - Proven experience in Retrieval Augmented Generation (RAG), vector databases, graph databases, prompt engineering, and AI agent design, orchestration, and optimization. - Hands-on experience required in model fine-tuning, data pre-processing, and Python programming. Proficiency in ML frameworks such as PyTorch, TensorFlow, or equivalen...

Role Overview: As a Senior Software Engineer for AI Agents at Apple, you will define the technical vision and own the architectural evolution of the platform infrastructure that enables AI agents to thrive at Apple scale. Your role will involve driving strategic platform decisions, mentoring engineering teams, and influencing technical direction. You will be responsible for building and optimizing the platform supporting the agentic ecosystem, including data pipelines, compute orchestration, monitoring, and reliability systems. Key Responsibilities: - Define modular agent architectures integrating powerful foundation models, including Large Language Models (LLMs) and beyond. - Architect plat...

As an AI/ML expert with over 5 years of experience, you will be responsible for: - Demonstrating strong expertise in deep learning, including supervised, unsupervised, self-supervised, and reinforcement learning techniques. - Proficiency in working with Large Language Models like Transformers, self-attention, mixture of experts, and embeddings. - Utilizing Retrieval Augmented Generation (RAG), vector databases, graph databases, prompt engineering, and AI agent design for effective solution development. - Hands-on experience in model fine-tuning, data pre-processing, and Python programming using ML frameworks such as PyTorch, TensorFlow, or equivalent. - Working with LangChain, LangGraph, Cre...

As a Senior AI Engineer, you will play a crucial role in designing, building, and deploying AI/ML models to address various use cases like recommendation engines, NLP, computer vision, forecasting, and predictive analytics. Your responsibilities will include leading model experimentation, validation, and optimization efforts to ensure performance and accuracy. Additionally, you will be responsible for developing and maintaining MLOps pipelines for model versioning, deployment, and monitoring. Collaboration with data scientists, data engineers, and software developers to integrate models into production systems is a key aspect of your role. It is essential for you to stay updated with the lat...

Role Overview: As the Head of AI, you will be responsible for leading a talented team of engineers and data scientists to develop and deliver a world-class AI-driven enterprise search solution, AI Agentic platform, recommendations, and other key AI initiatives. Your role involves providing strategic direction, fostering innovation, and ensuring the successful execution of the product roadmap. It is essential to have a deep understanding of AI/ML technologies, a proven track record of leading successful AI products, and a passion for pushing the boundaries of what's possible. Key Responsibilities: - Build, mentor, and lead a high-performing team of engineers and data scientists, fostering a c...

Solution Architecture & Design Lead the design and development of advanced AI solutions leveraging LLMs, GenAI models, AI agents, and hybrid AI approaches . Architect scalable, secure, and efficient AI systems integrating traditional ML with emerging Generative AI capabilities. Ensure AI solutions align with enterprise-grade performance, compliance, and ethical AI standards. Thought Leadership & Innovation Act as a subject matter expert (SME) in Generative AI, LLMs, and Agentic AI; contribute to technical strategy and AI roadmaps. Represent the organization in conferences, whitepapers, patents, and client discussions as a recognized AI thought leader . Explore, evaluate, and integrate cuttin...