139 Reinforcement Learning Jobs - Page 2

As an Applied AI/GenAI ML Director within the Asset and Wealth Management Technology Team at JPMorgan Chase, you will provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances. This role will focus on establishing and nurturing common capabilities, best practices, and reusable frameworks, creating a foundation for AI excellence that accelerates innovation and consistency across business functions. Your responsibilities will include establishing and promoting a library of common ML assets, including reusable ML models, features stores, data pipelines, and standardized templates. You will lead efforts to create shared tools and platforms that streamline the end-to-end ML lifecycle across the organization. Additionally, you will create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques, and gain experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipelines. You will advise on the strategy and development of multiple products, applications, and technologies, serving as a lead advisor on the technical feasibility and business need for AIML use cases. Furthermore, you will liaise with firm-wide AI ML stakeholders, translating highly complex technical issues, trends, and approaches to leadership to drive the firm's innovation and enable leaders to make strategic, well-informed decisions about technology advancements. You will also influence across business, product, and technology teams and successfully manage senior stakeholder relationships, championing the firm's culture of diversity, opportunity, inclusion, and respect. To be successful in this role, you must have formal training or certification on Machine Learning concepts and at least 10 years of applied experience, along with 5+ years of experience leading technologists to manage, anticipate, and solve complex technical items within your domain of expertise. An MS and/or PhD in Computer Science, Machine Learning, or a related field is required, as well as at least 10 years of experience in one of the programming languages like Python, Java, C/C++, etc., with intermediate Python skills being a must. You should have a solid understanding of using ML techniques, especially in Natural Language Processing (NLP) and Large Language Models (LLMs), hands-on experience with machine learning and deep learning methods, and the ability to work on system design from ideation through completion with limited supervision. Practical cloud-native experience such as AWS is necessary, along with good communication skills, a passion for detail and follow-through, and the ability to work effectively with engineers, product managers, and other ML practitioners. Preferred qualifications for this role include experience with Ray, MLFlow, and/or other distributed training frameworks, in-depth understanding of Embedding based Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies, advanced knowledge in Reinforcement Learning or Meta Learning, and a deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc., is also desirable.,

SAI Group is a private investment firm dedicated to incubating and scaling AI-powered enterprise software companies. Our portfolio spans across rapidly growing businesses that serve over 2,000 global customers, generating nearly $600 million in annual revenue and employing over 4,000 individuals worldwide. As we continue to scale, we are focused on building world-class teams to drive our portfolio companies" success. As a Research Engineer at SAI Group, you will play a key role in exploring and establishing best practices for leveraging and extending novel Generative AI based technologies to develop groundbreaking solutions for enterprise use cases. This position offers a unique opportunity to delve into the rapidly evolving world of foundation models, AI agents, reasoning models, and more to contribute to the design and development of an innovative enterprise AI platform, delivering transformative, AI-enabled work experiences for enterprise users. Your responsibilities will include: - Experimentation and Research: Systematically exploring various technologies and strategies to enhance understanding and utilization of foundation models and related Generative AI frameworks. - Development and Analysis: Designing experiments, building tools, running experiments, and analyzing results to shape the architecture of the enterprise AGI platform. - Prototyping and Innovation: Developing and refining prototypes for the platform based on the latest advancements and insights gained from research activities. Requirements for this role include: - Proven hands-on experience in prototyping advanced deep technologies in AI/ML. - Hands-on experience with AI foundation models to craft real-world applications. - Comprehensive knowledge of the emerging AI ecosystem, including foundation model ecosystem, agent frameworks, and tools. - Experience with AI Agent frameworks such as LangChain, AutoGen, CrewAI, or similar technologies. - Knowledge and/or experience with technologies like reinforcement learning, ontologies, knowledge graphs, etc. - Ph.D/MS in AI/CS or related fields with a strong focus on AI/ML technologies. - At least 5 years of work experience in an applied AI science or AI engineering role within a science-driven product development context. Joining SAI Group offers you the chance to be part of a pioneering team that is pushing the envelope of AI capabilities to create an autonomous intelligence-driven future. We value bold innovation, continuous learning, and offer a competitive salary, equity options, and an attractive benefits package including health, dental, vision insurance, and flexible working arrangements. Your work will directly contribute to pioneering solutions with the potential to transform industries and redefine how we interact with technology.,

We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of whats possible in AI applications System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence.

Tata Electronics Pvt. Ltd. is a key global player in the electronics manufacturing industry, specializing in Electronics Manufacturing Services, Semiconductor Assembly & Test, Semiconductor Foundry, and Design Services. Established in 2020 by the Tata Group, the company's primary objective is to provide integrated solutions to global customers across the electronics and semiconductor value chain. We are looking for an AI Core Developer to join our R&D team in Bangalore. This role is centered around fundamental AI research, algorithm development, and model pre-training, focusing on innovation rather than application engineering. As an AI Core Developer, you will be involved in cutting-edge AI research, creating novel algorithms, and constructing foundation models from scratch. This position is ideal for individuals with a strong background in pre-training methodologies and algorithm development who aspire to contribute to core AI advancements. Your responsibilities will include developing and implementing innovative machine learning algorithms for various AI systems, designing pre-training pipelines for large models, prototyping new AI architectures, collaborating with research scientists and engineers, and contributing to technical publications. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, with 2-4 years of hands-on experience in AI/ML development. Proficiency in Python, C/C++, knowledge of deep learning frameworks such as PyTorch and TensorFlow, and experience with model pre-training are essential requirements. Strong mathematical skills, familiarity with transformer architectures and attention mechanisms, and understanding of distributed computing are also key competencies. Preferred qualifications include advanced experience in multimodal AI systems, research contributions to top-tier AI conferences, and expertise in specific AI domains like healthcare or finance. The position is based in Bangalore, India, with a hybrid work arrangement and occasional travel for conferences and collaborations.,

As a member of the 7-Eleven Global Solution Center team, you will have the opportunity to take ownership and responsibility within specific product areas, contributing to end-to-end solution delivery. You will support local teams and integrate new digital assets while challenging yourself to work on products deployed across a vast network of convenience stores processing over a billion transactions annually. Your role will involve building scalable solutions to address the diverse needs of 84,000+ stores in 19 countries. At 7-Eleven GSC, you will experience growth through cross-functional learning opportunities and be encouraged to embody leadership and service in meeting the needs of customers and communities. We are guided by our Leadership Principles at 7-Eleven, each of which is associated with specific behaviors that help us serve customers and support stores effectively. As a part of the team, you will be expected to be customer-obsessed, courageous in expressing your views, challenge the status quo, act like an entrepreneur, maintain a can-do attitude, do the right thing, and be accountable for your actions. 7-Eleven Global Solution Center is currently seeking a highly skilled senior AI/ML engineer to design, implement, and deploy innovative and efficient AI/ML solutions. The ideal candidate will possess extensive experience in Langchain, NLP, RAG-based systems, Prompt Engineering, Agentic Systems, and cloud platforms such as Azure and AWS. You will be responsible for building AI-driven applications and optimizing Langchain, Gen AI, and NLP models for specific use cases. Additionally, you will experiment with different machine learning models, propose feasible solutions quickly, and communicate effectively with leadership. The qualifications required for this role include 3-5 years of experience in AI/ML engineering, proficiency in Python and machine learning frameworks like TensorFlow and PyTorch, expertise in Generative AI, NLP, and conversational AI technologies, and experience in building and deploying AI-powered applications at scale. You should also have a strong understanding of machine learning algorithms, structured and unstructured data, model evaluation metrics, and business requirements translation into technical requirements. A bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field is necessary, along with familiarity with Git versioning tools and exposure to the retail industry. At 7-Eleven Global Solution Center, we are committed to diversity in the workplace and focus on workplace culture, diverse talent, and our engagement with the communities we serve. We embrace diversity, equity, and inclusion as a business imperative, recognizing the importance of these aspects for our customers, franchisees, and employees. In addition to a challenging and rewarding career, 7-Eleven Global Solution Center offers a comprehensive benefits plan to improve the overall experience of our employees. This plan includes flexible work schedules, diverse leave options, medical coverage for family members, transportation, cafeteria facilities, certification and training programs, and support for employee relocation to Bangalore, India.,

As an Agentic Thinker and visionary Generative AI Subject Matter Expert (SME) at UBS in Hyderabad, you will lead the design, development, and deployment of cutting-edge generative AI solutions to solve complex business challenges. UBS emphasizes innovation and agility to enhance responsiveness, adaptability, and overall innovation in the workplace. In this role, you will leverage large language models (LLMs), diffusion models, and other generative architectures to drive innovation and act as a technical authority for generative AI. Your responsibilities will include architecting, training, and fine-tuning generative AI models for various applications such as content generation, conversational AI, code automation, and data synthesis. Additionally, you will lead research and development initiatives to enhance model performance, efficiency, and alignment with business objectives. You will collaborate with product, engineering, and business teams to integrate generative AI into workflows and translate business requirements into technical specifications for generative AI use cases. Moreover, you will optimize generative models for latency, cost, and scalability, deploy models on cloud platforms and edge devices, and implement safeguards to mitigate risks such as bias and misinformation while ensuring compliance with data privacy regulations and ethical AI guidelines. As part of the Mainframe & Midrange Stream team in India, you will work on Mainframe and Midrange Gen AI Journey, aligning with UBS AI elements and the Emerging Technology and Modernization Team. Your expertise should include a master's or PhD in Computer Science, Machine Learning, or a related field, along with at least 5 years of experience in AI/ML development with a focus on generative AI. You should have a proven track record of deploying generative AI solutions in production environments, deep expertise in generative architectures such as GPT and Transformers, proficiency in Python, PyTorch/TensorFlow, and cloud platforms, as well as experience with NLP tools and vector databases. Preferred skills include knowledge of multimodal AI, reinforcement learning, and familiarity with AI ethics frameworks. UBS, as the world's largest and truly global wealth manager, operates through four business divisions and has a presence in over 50 countries. If you are passionate about driving innovation, solving complex business challenges with generative AI, and being part of a diverse and inclusive culture that values collaboration and empowerment, UBS is the place for you. Join us to grow, learn, and make a difference in a supportive and inclusive environment.,

As an AI/ML Engineer at our company, your primary responsibility will involve designing and prototyping core machine learning architectures to drive our solution. You will work closely with the founder to brainstorm and select the best approaches for computer vision, sensor fusion, and reinforcement learning applications specifically tailored for cricket and badminton. We are particularly interested in candidates with experience in related areas such as robotics, autonomous systems, sports analytics, surveillance, or IoT due to the unique nature of this new domain. We value creative problem solvers who can adapt their skills to meet the challenges presented in our project. Your key responsibilities will include proposing and evaluating AI/ML architectures for real-time officiating tasks, developing computer vision algorithms for object detection and tracking, designing reinforcement learning models for dynamic camera control, and building predictive models for real-time decision-making. Additionally, you will be integrating data from various sensors to enhance event detection accuracy, optimizing models for low-latency performance, and prototyping AI/ML modules using real or simulated data. You must also document architecture decisions, model designs, and implementation details, while staying updated on recent research and advancements in computer vision, machine learning, and reinforcement learning to enhance our product. Collaboration is essential, as you will participate in technical reviews, provide insights on system improvements, and work closely with the full-stack developer to integrate AI components into the software system. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related discipline with a focus on machine learning, computer vision, robotics, or data science. Proficiency in Python and familiarity with C++, experience with deep learning frameworks such as TensorFlow or PyTorch, hands-on experience with computer vision libraries, and understanding of reinforcement learning concepts are required technical skills. Familiarity with sensor fusion techniques, optimization for real-time systems, and software engineering practices is also expected. While direct experience in sports officiating is not mandatory, experience in fields like sports analytics, robotics, surveillance, or IoT will be advantageous. Soft skills such as problem-solving abilities, effective collaboration, adaptability, and team spirit are highly valued in our team. Join us to be part of an innovative domain that merges AI with sports officiating and analytics, work in a collaborative environment directly influencing the product's direction, gain growth opportunities as the company scales, and receive competitive compensation with potential equity participation in a rapidly evolving startup.,

The Senior Data Scientist - R01551342 position is for a Data Science Lead with expertise in problem formulation, OKR validation, data wrangling, data storytelling, problem solving, Excel VBA, data curiosity, technical decision making, communication & articulation, business acumen, design thinking, and data literacy. As the Agentic AI Lead, you will play a crucial role in researching, developing, and deploying semi-autonomous AI agents to address complex enterprise challenges. You will be required to leverage LangGraph, lead projects aimed at constructing multi-agent AI systems with enhanced autonomy and decision-making capabilities. The ideal candidate should possess in-depth knowledge of LLM orchestration, knowledge graphs, reinforcement learning, and real-world AI applications. You will be tasked with designing, scaling, and optimizing agentic AI workflows to align with business objectives and drive innovation in AI automation. Key Responsibilities: 1. Architecting & Scaling Agentic AI Solutions: - Design and develop multi-agent AI systems using LangGraph for workflow automation and decision-making. - Create memory-augmented AI agents capable of planning, reasoning, and executing tasks across various domains. - Implement scalable architectures for LLM-powered agents that integrate seamlessly with enterprise applications. 2. Hands-On Development & Optimization: - Develop and optimize agent orchestration workflows with LangGraph for high performance and scalability. - Use knowledge graphs and retrieval-augmented generation techniques to enhance agent reasoning. - Apply reinforcement learning methodologies for improved decision-making. 3. Driving AI Innovation & Research: - Lead AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. - Stay updated on advancements in multi-agent systems and goal-directed behavior to apply best practices in enterprise AI solutions. - Prototype self-learning AI agents for autonomous adaptation based on real-time feedback. 4. AI Strategy & Business Impact: - Translate Agentic AI capabilities into enterprise solutions for automation, efficiency, and cost savings. - Lead proof-of-concept projects to demonstrate business impact and scale successful prototypes into production. 5. Mentorship & Capability Building: - Mentor AI Engineers and Data Scientists to build expertise in LangGraph and multi-agent architectures. - Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. This role requires a strategic thinker with strong technical skills and a passion for innovation in AI technologies. The successful candidate will drive AI initiatives, lead research efforts, and mentor a team to deliver impactful solutions in a fast-paced environment.,

As a Machine Learning Developer with 1 to 3+ years of experience, you will be an integral part of our innovative team dedicated to designing, developing, and deploying machine learning models and algorithms that power our products and solutions. Your responsibilities will include collaborating with cross-functional teams such as data scientists, software engineers, and product managers to create scalable and efficient machine learning solutions. Your duties will encompass various aspects of machine learning development, including designing, implementing, and optimizing machine learning models and algorithms to address complex business challenges. You will be involved in preprocessing and analyzing large datasets to ensure data quality, consistency, and relevance for training models. Additionally, feature engineering and model evaluation using appropriate metrics will be key components of your role. Collaboration with software engineers to deploy models into production environments, focusing on scalability and reliability, will be a crucial part of your responsibilities. Staying abreast of the latest advancements in machine learning, AI, and data science to implement cutting-edge techniques and tools will be essential. Furthermore, you will work closely with data scientists, software developers, and product teams to integrate machine learning capabilities into various products and services. Your required skills and qualifications include 1 to 3+ years of hands-on experience in machine learning, data science, or a related role, as well as a strong background in handling large datasets and familiarity with SQL and NoSQL databases. Experience in developing, training, and deploying machine learning models, including regression, classification, clustering, and deep learning techniques, is essential. Excellent verbal and written communication skills, the ability to work effectively in a team-oriented environment, and a passion for continuous learning and improvement are also crucial attributes. Knowledge of cloud platforms such as AWS, Google Cloud, or Azure, along with proficiency in natural language processing (NLP), computer vision, or reinforcement learning, will be beneficial. Familiarity with MLOps practices and tools for continuous integration and deployment of ML models is also desirable. This position is based in Indore, Madhya Pradesh, and requires on-site work at various locations in India and globally, including the USA, UK, Australia, and the Middle East. If you are enthusiastic about leveraging your machine learning expertise in a dynamic and collaborative environment, we encourage you to apply from the specified locations.,

Arivon is seeking an Artificial Intelligence (AI) Software Engineer with expertise in generative AI, Natural Language Processing (NLP), and LLM. The ideal candidate should have a minimum of 5 years of experience in NLP and Generative AI and LLM research. The role involves tasks such as language model evaluation, data processing for pre-training and fine-tuning, LLM alignment, reinforcement learning for language model tuning, and efficient training and inference. Additionally, the candidate should have experience in multilingual and multimodal modeling. The AI Software Engineer should have hands-on experience with Machine Learning (ML), NLP, and Deep Learning (DL) frameworks like PyTorch, Tensorflow, and SFT on LLM. Proficiency in leveraging LangChain for the development and integration of LLMs into various applications is essential. The candidate should demonstrate a strong ability to enhance AI functionalities through innovative applications of natural language processing and understanding. Experience with model quantization or computational optimizations is considered a plus. Familiarity with cloud platforms such as AWS, GCP, and Azure is advantageous, and prior experience in the Healthcare domain is a bonus. The role also involves designing methods, tools, and infrastructure to advance the state of the art in large language models. Responsibilities include deploying, monitoring, and managing ML models in production to ensure high availability and low latency. The candidate will be expected to manage and optimize ML infrastructure, including cloud services, containers, and orchestration tools. A Master's degree in computer science, computer engineering, or a related technical field is required, while a Ph.D. in AI, computer science, data science, or related fields is preferred. Proficiency in programming languages like Python is necessary for this role.,

Key Responsibilities: Responsibilities Anchor ML development track in a client project Data collection profiling EDA data preparation AI Model development experimentation tuning validation Present findings to business users project management teams Propose ML based solution approaches estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoring Guide junior team members evangelize AI in organization Technical skills Programming Python R SQL ML algorithms o Statistical ML algorithms o Deep Neural Network architectures o Model ensembling o Generative AI models o ML for Responsible AI AI domains NLP speech computer vision structured data Learning patterns supervised unsupervised reinforcement learning Tools for data analysis auto ML model deployment scaling model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets pre built models available in open community and 3rd party providers Knowledge of software development architectures Knowledge of hyperscalers their AI capabilities Azure AWS GCP Knowledge of Model Quantization and Pruning Preferred Skills: Technology->Machine learning->data science,Technology->Data Science->Machine Learning,Technology->Machine Learning->Accord,Technology->Machine Learning->Generative AI

At Skillsoft, we propel organizations and individuals towards growth through transformative learning experiences. We firmly believe that every team member possesses the potential to achieve greatness. Join us in our mission to revolutionize learning and assist individuals in unlocking their full potential. As a Sr. Analyst Instructional Designer (Tech Content Strategist) specializing in Data, you will play a pivotal role in developing engaging and effective learning experiences within the Data domain. Your responsibilities will involve leading the entire content development process, from planning and scripting to reviewing and enhancing content for Data. You will need to leverage your instructional design expertise to create learner-centered content that caters to various learner personas and real-life scenarios. Collaboration with visual designers, editors, and technical experts will be essential to ensure that the content is presented in a compelling and accessible format. Your primary responsibilities will include owning the content development lifecycle for Data, designing creative and impactful learning experiences based on instructional design principles, scripting engaging digital content, collaborating with cross-functional teams, aligning content with industry certification frameworks, identifying learning gaps, and utilizing Generative AI tools to enhance content creation. To excel in this role, you should have a minimum of 5+ years of practical experience in data analytics or related fields, proficiency in instructional design, excellent scripting and communication skills, creativity, storytelling ability, programming knowledge (Python and SQL), familiarity with data libraries, and experience with data visualization tools. Additionally, relevant certifications in Data and familiarity with Generative AI tools and instructional design models will be advantageous. Skillsoft is a leading provider of online learning, training, and talent solutions aimed at helping organizations maximize the potential of their workforce. By offering immersive and engaging content, Skillsoft empowers organizations to develop the skills necessary for success in today's competitive landscape. As a partner to numerous global organizations, Skillsoft offers award-winning systems and platforms to support learning, performance, and overall success. If you are intrigued by this opportunity, we encourage you to apply and be a part of our journey towards transforming learning and empowering individuals to succeed. NOTE TO EMPLOYMENT AGENCIES: Skillsoft values the partnerships with our preferred vendors and does not accept unsolicited resumes. Kindly ensure a signed Skillsoft Employment Agency Agreement is on file before submitting any resumes.,

As an AI Software Engineer based in Bangalore, you will play a crucial role in developing innovative AI-driven solutions. Your responsibilities will include designing, implementing, and optimizing AI models, integrating them into software applications, and collaborating closely with data scientists and engineers to build scalable AI-powered products. Key Responsibilities: - Design, develop, and deploy AI and machine learning models for real-world applications. - Utilize large datasets to train and fine-tune models, ensuring high accuracy and efficiency. - Build and optimize deep learning architectures using frameworks like TensorFlow, PyTorch, or Scikit-learn. - Develop and maintain AI-driven software applications, integrating models into production environments. - Collaborate with cross-functional teams, including data scientists, software engineers, and product managers. - Optimize AI models for performance, scalability, and deployment on cloud platforms (AWS, Azure, GCP). - Implement MLOps best practices for model versioning, deployment, and monitoring. - Stay updated with the latest AI research, tools, and techniques to enhance AI capabilities. Required Qualifications: - Bachelors or Masters degree in Computer Science, AI, Machine Learning, or related field. - Strong programming skills in Python and Java. - Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras. - Knowledge of NLP, Computer Vision, or Reinforcement Learning is a plus. - Hands-on experience with cloud computing (AWS, GCP, Azure) for AI model deployment. - Familiarity with data structures, algorithms, and software development best practices. - Experience with containerization (Docker, Kubernetes) and APIs for model integration. - Strong problem-solving skills and ability to thrive in a fast-paced environment. - Experience with LLMs, Generative AI, or AI-powered automation. - Understanding of AI ethics, bias mitigation, and responsible AI practices. - Knowledge of big data technologies like Hadoop, Spark, or Kafka. Benefits: - Work with cutting-edge technologies and a talented team. - Competitive salary and benefits package. - Enjoy a flexible work environment with growth opportunities. - Access to professional development and learning resources.,

As an AI Leader at CGI, you will be responsible for driving the company's AI initiatives, promoting the use of AI technologies, and influencing internal and external stakeholders on AI innovations and capabilities. With 15-20 years of hands-on AI experience, you will play a key role in translating complex AI concepts into business value, engaging with industry leaders, clients, and communities, and leading the strategic direction for AI at our organization. Your key responsibilities will include promoting AI technologies within the company and the broader community, defining the AI vision and strategy with executives, and architecting, developing, and deploying AI-driven solutions. You will collaborate with cross-functional teams, contribute to the AI community through publications and research, and provide training and mentorship to junior AI professionals. To excel in this role, you should have 13+ years of hands-on experience in AI, machine learning, and deep learning, along with a Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field. Proven leadership skills, expertise in AI algorithms and programming languages such as Python, strong communication abilities, and a passion for AI innovation are essential. Additionally, a deep understanding of how AI can drive business value, knowledge of AI trends and best practices, and experience in delivering presentations at industry events will be beneficial. Experience in AI product management, involvement in AI-related publications or patents, familiarity with cloud-based AI solutions, and behavioral competencies like process efficiencies, clear communication, and teamwork are considered advantageous. Join CGI, one of the largest IT and business consulting services firms globally, where ownership, teamwork, respect, and career growth are valued. As a CGI Partner, you will contribute to meaningful insights, develop innovative solutions, and shape your career with the support of leaders who care about your well-being and professional development.,

You are a talented and motivated Machine Learning Developer with 1 to 3+ years of experience, seeking to join an innovative team. In this role, you will be responsible for designing, developing, and deploying machine learning models and algorithms that power products and solutions. Your collaboration with cross-functional teams, including data scientists, software engineers, and product managers, will be crucial in creating scalable and efficient machine learning solutions. Your duties and responsibilities will include designing, implementing, and optimizing machine learning models to solve complex business problems. You will preprocess and analyze large datasets, ensuring data quality and relevancy for model training. Feature engineering to enhance model accuracy, evaluating model performance, deploying models into production environments, and staying updated with the latest advancements in machine learning will be part of your responsibilities. Additionally, you will collaborate with various teams to integrate machine learning capabilities into products and services while maintaining comprehensive documentation for models and processes. To excel in this role, you should have 1 to 3+ years of hands-on experience in machine learning or data science, proficiency in handling large datasets and SQL/NoSQL databases, and expertise in developing, training, and deploying machine learning models. Strong communication skills, the ability to work effectively in a team environment, and experience with cloud platforms like AWS, Google Cloud, or Azure are essential. Knowledge of natural language processing, computer vision, reinforcement learning, and familiarity with MLOps practices will be advantageous. This position is based in Indore, MP, with a work-from-office model. However, you should be willing to work on-site at various locations in India and globally, including the USA, UK, Australia, and the Middle East, with on-site benefits applicable. Apply now if you are ready to contribute your skills and expertise to a dynamic and collaborative team environment.,

As a Senior Data Scientist, you will utilize your extensive experience and expertise in AI/ML technologies to drive innovation and solve real-world problems. Your responsibilities will include designing, developing, and optimizing recommendation systems to enhance user experience, building advanced NLP chatbots for automating customer interactions, leading Generative AI solutions, and applying Large Language Models like GPT and BERT to create innovative business-specific solutions. Collaboration with cross-functional teams is key as you integrate machine learning models into production systems, perform data exploration and feature engineering, and stay updated on the latest advancements in AI and ML technologies. Mentoring junior data scientists and engineers, collaborating with product managers and business stakeholders, and ensuring ethical and responsible model development are also crucial aspects of this role. To excel in this position, you should have 5+ years of experience in data science or machine learning, with strong expertise in recommendation systems, chatbots, Generative AI, and Large Language Models. Proficiency in machine learning frameworks like TensorFlow and PyTorch, as well as experience with cloud platforms and data pipelines, will be essential. Your problem-solving skills, statistical knowledge, and ability to convey technical concepts to non-technical stakeholders will further contribute to your success in this role. Joining our rapidly growing product-based company will provide you with the opportunity to collaborate with a talented team, work on high-quality software solutions, and enjoy a competitive compensation and benefits package. If you are passionate about AI/ML technologies and eager to make a significant impact, this role offers an exciting and rewarding career opportunity.,

Role: SAVP -Digital CX Technical Lead - Gen AI Experience:10+years in Data Science Location: NCR/Bangalore Work Mode: Hybrid Shift Timing: 1:30 pm - 11:30pm Technical Skills Strong technical background with a solid understanding of conversational AI technologies, machine learning, natural language processing, and software development methodologies. Proven experience in delivering Google CCAI, Dialogflow, Vertex.AI solutions. Strong background in Natural Language Processing (NLP), deep learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG). Experience with deep learning frameworks like PyTorch or TensorFlow. Experience with cloud platforms (AWS, Azure, GCP) for deploying AI models. Strong understanding of neural networks, transformers, and reinforcement learning. Familiarity with software development best practices, version control (e.g., Git), and agile methodologies. Experience with CI/CD pipelines and DevOps practices. Excellent software development skills to drive the development and deployment of cutting-edge AI solutions Leadership Skills Demonstrated leadership and team management skills, with the ability to inspire, guide, and develop a diverse team of professionals. Excellent client-facing skills, including effective communication, relationship-building, and negotiation abilities. Excellent problem-solving skills and the ability to think critically and creatively. Strong communication skills and the ability to work effectively in a team environment. Leadership qualities with a proactive and collaborative approach. BE/BTech/MCA/Ph.D. from tier I/II institute in CS or related field

As an Agentic AI Research Engineer at Pranathi Software Services Pvt. Ltd., you will be part of a leading software product development company that specializes in cutting-edge technologies like AI, Machine Learning, and advanced automation. Our focus is on building next-generation intelligent systems powered by Agentic AI, and we are seeking passionate individuals to join our AI R&D team in Hyderabad. To be successful in this role, you should have a postgraduate degree (M.Tech/M.E./Ph.D.) in Computer Science, AI, Machine Learning, or a related field. You should also have strong experience with LLM-based agents, multi-agent systems, or reinforcement learning. Proficiency in Python and deep learning libraries such as PyTorch, TensorFlow, or JAX is essential. Hands-on experience with frameworks like LangChain, OpenAI APIs, AutoGPT, or Hugging Face Transformers will be beneficial. Additionally, a solid understanding of prompt engineering, agent reasoning strategies, and knowledge graphs is required. This is a full-time position based in Hyderabad, India, with opportunities for on-site or hybrid work arrangements. If you are excited about working on innovative AI projects and meet the qualifications mentioned above, we encourage you to share your resume with us at giribabu@pranathiss.com.,

As a Consultant Data Scientist on a contractual role for a duration of 6 months, you should possess a strong understanding of Data Structures and Algorithms. Your proficiency in advanced programming skills, especially in Python, is mandatory for this role. Additionally, having a working knowledge of C++ would be beneficial. Your responsibilities will include hands-on experience with AI/ML, Deep Learning (CNN, RNN), LLMs, classification, and clustering. It is essential to have a good grasp of algorithm design and development. Familiarity with reinforcement learning, computer vision, or NLP would be an advantage in this position. The ideal candidate should be open to working part-time and must be comfortable with a contractual arrangement. The budget for this role ranges from 80k to 1.3 Lacs per month. The job type is contractual/temporary, with a contract length of 6 months. In addition to the technical requirements, you should be willing to work in person at the specified work location. As a Consultant Data Scientist, you will have the benefit of a flexible schedule. If you meet these qualifications and are interested in this opportunity, please send your CV to soumojit.roy@rebaca.com. To apply for this role, please consider the following questions: - Are you willing to work as a consultant on a 6-month contract - On a scale of 1 to 10, how would you rate your proficiency in Python - What are your monthly salary expectations We look forward to receiving your application and potentially welcoming you to our team as a Consultant Data Scientist.,

As a Senior ML Scientist in the Advertising Optimization & Automation Science team at Wayfair, you will play a crucial role in leveraging machine learning and generative AI to streamline campaign workflows. Based in Bangalore, India, you will contribute to building intelligent systems that drive personalized recommendations and campaign automation within Wayfair's advertising platform. Your responsibilities will include designing and implementing intelligent budget, tROAS, and SKU recommendations, as well as simulation-driven decisioning to enhance advertiser outcomes and unlock substantial commercial value. In collaboration with cross-functional teams, you will lead the development of GenAI-powered creative optimization and automation to drive incremental ad revenue and improve supplier outcomes. Additionally, you will elevate technical standards by promoting best practices in ML system design and development across the team. The ideal candidate for this role possesses a Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or a related field, along with 9+ years of experience in building large-scale machine learning algorithms. You should have a strong theoretical understanding of statistical models and ML algorithms, proficiency in programming languages such as Python, and experience with relevant ML libraries like TensorFlow and PyTorch. Strategic thinking, customer-centric mindset, and a desire for creative problem-solving are essential qualities for success in this position. Additionally, you should be adept at influencing senior-level stakeholders, possess excellent communication skills, and demonstrate the ability to shape technical roadmaps through cross-functional partnerships. Nice-to-have qualifications include experience with GCP, Airflow, and containerization, as well as familiarity with Generative AI and agentic workflows. Knowledge of Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning is also advantageous. By joining Wayfair, you will be part of a dynamic and innovative team that is dedicated to reinventing the way people shop for their homes. If you are looking for a fast-paced environment that offers continuous learning and growth opportunities, Wayfair may be the perfect place for you to advance your career.,

Minimum qualifications: You have a Bachelor's degree in Electrical Engineering or a related field, or equivalent practical experience. Along with that, you possess 4 years of experience with physical design flow, including floor planning, place and route, or physical verification. Your expertise also includes experience with low-power design techniques like power gating, clock gating, or voltage scaling. Preferred qualifications: It is preferred that you have experience in using Machine Learning (ML) in physical design. You also have knowledge of machine learning algorithms ranging from logistic regression to deep neural networks and reinforcement learning, coupled with proficiency in data structures and algorithms. About the job: As a member of our team, you will be part of a group that consistently pushes boundaries, working on developing custom silicon solutions that drive the future of Google's direct-to-consumer products. You will play a pivotal role in the innovation behind products that are beloved by millions globally. Your expertise will be instrumental in shaping the next era of hardware experiences, ensuring unparalleled performance, efficiency, and integration. In this role, you will be responsible for contributing to the enhancement of Power Performance Area (PPA) through the utilization of machine learning techniques. Leveraging your experience in physical design and machine learning, you will tackle technical challenges and enhance Power, Performance, Area, and Schedule metrics. Your tasks will involve design and optimizations, floor planning, place and route, clock and power planning, timing analysis, and Power Delivery Network (PDN) analysis. Collaboration is key in this role, as you will work across Alphabet, engaging with design, CAD, and machine learning teams. Google's mission revolves around organizing the world's information, making it universally accessible and useful. Our team amalgamates the finest aspects of Google AI, Software, and Hardware to craft profoundly useful experiences. We delve into research, design, and development of cutting-edge technologies and hardware to accelerate computing, ensuring it is seamless and potent. Our ultimate goal is to enhance people's lives through technology. Responsibilities: Your responsibilities will include deploying Artificial Intelligence (AI) solutions into chip design, collaborating with internal teams, Google DeepMind, and others to explore solutions and enhance chip design PPA or cycle time.,

You are an experienced data scientist with 11-12 years of experience in the field. You possess expert knowledge of statistics and probability theory along with proficiency in at least one programming language such as Python, R, or SQL. Your experience includes working with reinforcement learning and GenAI, as well as an expert understanding of machine learning algorithms and models. You have advanced knowledge of data cleaning and preprocessing techniques and are skilled in data analysis and interpretation. Your strong communication and presentation skills enable you to effectively convey complex technical concepts to various stakeholders. In addition, you have experience in leading and managing teams, making you a valuable asset in collaborative environments. Your preferred domain is telecom, where you have demonstrated your expertise in applying data science techniques to solve industry-specific challenges. Your primary skillset lies in data science, with additional skills in Python and data science, making you a well-rounded professional in the field.,

As a Python Developer, you will be responsible for building supervised (GLM ensemble techniques) and unsupervised (clustering) models using standard industry libraries such as pandas, scikit-learn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be essential in this role. You should have significant experience in Python, with a focus on writing unit tests, creating packages, and developing reusable and maintainable code. Your ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and Tableau, will be crucial. Experience with continuous integration and development tools like Jenkins, as well as Spark ML pipelines, will be advantageous. We are looking for a self-motivated individual who can collaborate effectively with colleagues and contribute innovative ideas to enhance our projects. Preferred qualifications include an advanced degree with a strong foundation in the mathematics behind machine learning, including linear algebra and multivariate calculus. Experience in specialist areas such as reinforcement learning, NLP, Bayesian techniques, or generative models will be a plus. You should excel at presenting ideas and analytical findings in a compelling manner that influences decision-making. Demonstrated evidence of implementing analytical solutions in an industry context and a genuine enthusiasm for leveraging data science to enhance customer-centricity in financial services ethically are highly desirable qualities for this role.,

You will be responsible for developing, training, and fine-tuning Machine Learning models for AI/ML applications. This includes designing and implementing data pipelines for data processing, model training, and inference. Additionally, you will be deploying models using MLOps and integrating them with cloud infrastructure. Collaboration with product managers and designers to conceptualize AI-driven features will also be a key part of your role. You will also be expected to research and implement various ML and AI techniques to improve performance. To excel in this role, you should have proficiency in Python and ML frameworks such as Scikit-learn, XGBoost, TensorFlow, PyTorch. Experience with SQL and ETL data pipelines, including data processing and feature engineering, will be beneficial. Familiarity with Docker and container-based deployments to create cloud-agnostic products is required. A strong understanding of AI and Machine Learning concepts such as Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning is essential. Knowledge of at least one cloud platform (AWS, Azure, GCP) and ML deployment strategies, preferably Azure, is preferred. Exposure to LLMs (e.g., OpenAI, Hugging Face, Mistral) and foundation models will be an advantage. Understanding of various Statistical models is also expected. If you have 5 to 7 years of experience in the relevant field and possess the mentioned skills and qualifications, we would like to hear from you.,

About this Opportunity Ericsson Research is the central research organization within Ericsson. Our mission is to provide Ericsson with system concepts, technology and methodology and to secure long-term competitive product positioning. The position is for a Senior AI Researcher/Researcher in AI Research lab located at Chennai, India. We are an international research team doing research on a range of disciplines, spanning Radio communications, Network architectures, AI, Cloud, Devices and Security. Working with AI research at Ericsson you will have opportunities to explore and pioneer in state-of-art AI methodologies and define the future of AI-Native Networks. Influencing research projects from conceptualization to implementation and delivery, youre always encouraged to propose and develop innovative, transformative ideas and methods that push the boundaries of AI-driven technologies. We offer flexible work options with open environment and a speak-up culture. What you will do Responsibilities: Advance AI research by exploring emerging techniques in Agentic AI and Reinforcement Learning, and extending the state-of-the-art to solve real-world problems in mobile communication systems. Invent and adapt AI techniques to contribute towards AI driven networks Define and develop research concepts and demonstrate the viability for adoption in products Contribute to research projects in teams with diverse talents Collaborate and coordinate with global research teams across varied competence and own responsibility for timely delivery of research modules Contribute to scientific publications and patents to enhance Ericsson’s intellectual property portfolio and reinforce its reputation as leader in AI for mobile networks. You will bring PhD degree from a top institute in India or abroad in Computer Science or related areas Experience in hands-on AI research with first author publications in leading venues. Extensive experience with state-of-the-art methods in agentic AI and large language models, particularly in optimizing planning, tool use, memory, and reflection capabilities. Familiarity with multi-agent system design is also valued. Solid understanding of Reinforcement Learning and multi-agent concepts Understanding of Radio fundamentals including L1,L2 and L3 layers and functions would be a significant positive. Demonstrated ability to work with globally distributed research teams Good communication skills and open to work in adjacent research areas Excellent coding skills Ability and willingness to learn domain specific things