262 Reinforcement Learning Jobs - Page 4

As an AI/ML Engineer at our company based in Vadodara, Gujarat, India, you will play a crucial role in designing, developing, and implementing machine learning models and AI-driven solutions to address intricate business challenges. With 2-3 years of experience in the field, you will have the opportunity to collaborate with diverse teams to deliver scalable and innovative AI products. Your primary responsibilities will include designing, building, and deploying machine learning models and algorithms, extracting meaningful patterns and insights from large datasets, and ensuring the efficiency of data pipelines in collaboration with data engineers. Additionally, you will conduct experiments, evaluate and optimize models, and integrate them into production systems while staying abreast of the latest advancements in AI/ML. To excel in this role, you should have proficiency in Python and ML libraries such as scikit-learn, TensorFlow, and PyTorch. Experience in data preprocessing, feature engineering, and model evaluation is essential, along with knowledge in deep learning, NLP, computer vision, or reinforcement learning depending on the role focus. Familiarity with cloud platforms like AWS, GCP, Azure, MLOps tools, databases (SQL, NoSQL), and version control (Git) will be advantageous. Ideally, you hold a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, coupled with strong problem-solving skills, analytical capabilities, and the ability to work both independently and collaboratively. Effective communication, documentation skills, and a proactive approach to learning and adapting to new technologies are key attributes we value in our team members. Furthermore, any prior publications or contributions to open-source ML projects, experience in deploying models using Docker/Kubernetes, and familiarity with ML lifecycle tools like MLflow, Kubeflow, or Airflow will be considered favorably. In return, we offer a competitive salary, comprehensive benefits package, the opportunity to work with cutting-edge AI technologies, flexible working hours, remote working options, and a supportive and innovative team environment. Join us to work on enterprise-grade solutions and leverage the latest technologies to stay ahead in the global market while enjoying a healthy work-life balance in a 5-day workweek format. If you are passionate about AI/ML, eager to contribute to impactful projects, and thrive in a dynamic and collaborative work setting, we welcome you to apply for this full-time remote position with us.,

The RL Research Scientist (RS) at Swaayatt Robots will be responsible for conceptualizing, theorizing, and developing novel decision-making algorithmic frameworks to enable autonomous vehicles to negotiate complex, stochastic, and adversarial traffic situations. You are expected to work at the intersection of theoretical computer science (ML, RL, game theory, graph theory, heuristic search, mathematical optimization), motion planning, and pure and applied mathematics. As an RL Research Scientist, you will also be expected to optimize and scale the existing proprietary algorithmic frameworks at Swaayatt Robots, such as the Off-Shift Policy framework, Two-Lanes Overtaking Policy framework, and the Multi-Agent Intent Analysis and Negotiation framework. These algorithmic frameworks typically require working at the intersection of the following areas: RL, Inverse-RL, ML, Heuristic Search, Topology Theory, Mathematical Optimization, Graph Theory, Manifold Alignment. Requirements: - M Tech/MS/PhD in EECS or relevant areas (PhD in ML/RL/Robotics/Aero-Astro), or equivalent research experience - Proficiency in C/C++ and Python programming languages - Deep knowledge in machine learning, reinforcement learning, and probabilistic graphical models - Strong knowledge in mathematical optimization (convex, numerical, non-differential convex) - Track record of publication in Tier-1 robotics or ML conferences - Previous experience in robotics/AI R&D startup outside India is a bonus If you meet the requirements and are interested in this exciting opportunity, please send your resume to career@swaayatt.com.,

As a Sr. Analyst Instructional Designer (Tech Content Strategist) specializing in the Data domain at Skillsoft, you will play a pivotal role in developing engaging, learner-centric content that combines real-world expertise with captivating storytelling. Your primary responsibility will be to lead the end-to-end development of compelling learning experiences, ensuring that they align with industry certification frameworks and cater to diverse learner personas. Your day-to-day tasks will involve owning the content development lifecycle for Data, including planning, researching, scripting, storyboarding, and strategically reviewing and iterating on various digital formats. You will collaborate with visual designers, editors, and technical experts to transform content into accessible and visually appealing assets that enhance the learning journey for our users. To excel in this role, you must have a minimum of 5 years of hands-on experience in data analytics or related fields, along with a strong background in instructional design. Your ability to distill complex concepts into engaging narratives, coupled with your creativity and storytelling skills, will be essential in crafting high-impact learning materials. Proficiency in programming languages like Python and SQL, as well as experience with data libraries such as NumPy, Pandas, and Sci-kit Learn, will be highly advantageous. Additionally, familiarity with Generative AI tools for content creation, training delivery experience in various formats, and knowledge of instructional design models like ADDIE and Blooms Taxonomy will further enrich your profile. Your dedication to analyzing learner feedback and enhancing content based on performance data will contribute to the continuous improvement of our learning resources. At Skillsoft, we are committed to empowering individuals and organizations through transformative learning experiences. By joining our team, you will have the opportunity to make a tangible impact on the way people learn and grow. If you are passionate about harnessing the power of data to drive meaningful learning outcomes, we invite you to apply and be a part of our mission to unlock the potential within every individual.,

As an Agentic AI Developer, you will be responsible for designing, building, and deploying intelligent agents capable of autonomous decision-making, tool usage, and multi-step task execution. Your expertise in cutting-edge AI technologies and experience with large language models and agent frameworks will be crucial for the successful execution of this role. Your key responsibilities will include designing and implementing AI agents using frameworks such as LangChain, AutoGen, or OpenAI Agents SDK. You will also be required to integrate agents with external tools, APIs, and databases, develop workflows for autonomous task execution, and optimize agent performance through prompt engineering and memory management. Collaboration with product and engineering teams to align agent capabilities with business goals and monitoring and maintaining deployed agents in production environments will also be part of your role. To excel in this position, you must possess a strong proficiency in Python and have experience working with LLMs such as GPT-4, Claude, and Gemini. Familiarity with agent frameworks and orchestration tools, experience with API integration, vector databases, and retrieval-augmented generation (RAG) are essential requirements. An understanding of autonomous systems, decision trees, and reinforcement learning would be a plus. Additionally, excellent problem-solving and communication skills are necessary for this role. While not mandatory, experience with cloud platforms (AWS, Azure, GCP), a background in machine learning or NLP research, and contributions to open-source AI projects would be considered advantageous in this position.,

Enterpret is a cutting-edge company specializing in AI-native applications that harness the potential of customer feedback to benefit businesses. By consolidating feedback from various sources, Enterpret transforms it into actionable insights that drive customer-centric decisions for teams at renowned companies such as Perplexity, Notion, Canva, and Figma. With the support of notable investors like Kleiner Perkins and Peak XV, Enterpret is revolutionizing how businesses comprehend and respond to the voice of their customers. As the LLMOps Architect at Enterpret, you will play a pivotal role in fine-tuning LLM models, managing prompts, conducting evaluations, optimizing for cost efficiency, and speed optimization both during the experimentation phase and in the production environment. This is a foundational role that entails high ownership, where you will collaborate closely with the OpenAI, Anthropic, and AWS teams to construct top-tier ML infrastructure. Working in tandem with ML researchers, backend engineers, and product teams, you will ensure the resilience, security, and cost-effectiveness of Enterpret's AI systems as the company experiences exponential growth. Key success factors include enhancing the speed of experimentation, reducing time to productionization, and elevating the quality of models. Reporting directly to the CTO, you will be responsible for several critical tasks. You will design and enhance Enterpret's ML platform utilizing AWS, Terraform, OpenAI, and Anthropic for training, serving, and retraining encoders and LLM models. Additionally, you will develop CI/CD pipelines tailored for ML, deploy and manage model serving systems for real-time inference and batch pipelines, establish observability for model performance and data drift, lead incident response and postmortems for ML systems, optimize cloud usage for ML workflows, implement governance and security measures, work on productionizing AI models, evaluate tools for model registry, feature stores, and orchestration, champion MLOps best practices, and mentor engineers. The ideal candidate for this role should possess a minimum of 6 years" experience in MLOps and ML infrastructure, with expertise in AWS, infrastructure-as-code, container orchestration, strong Python skills, hands-on experience with CI/CD systems, proficiency in monitoring and maintaining production ML systems, cloud cost optimization knowledge, familiarity with model serving stacks and experimentation tools, and a track record of mentoring and taking ownership of systems in production. Additionally, a passion for automation, proficiency with AI coding agents, and exposure to GenAI workflows and responsible AI practices are desirable. Enterpret offers a compelling opportunity to work at the heart of ML, take early ownership of impactful projects, collaborate with a talented team, operate in a focused and fast-paced environment, and enjoy competitive compensation, meaningful equity, comprehensive healthcare benefits, generous leave policies, and a team-centric culture built on trust and ownership. At Enterpret, we prioritize a culture of ownership, teamwork, personal care, constructive feedback, humility, continuous learning, and improvement. We are committed to providing equal opportunities for all individuals.,

As a Senior Data Scientist - AI/ML at ZF, you will be part of the ZF COE Team, effectively communicating complex technical concepts related to AI, ML, DL, and RL to both technical and non-technical audiences. Your role will involve conducting cutting-edge research to identify and develop novel AI/ML methodologies, designing and conducting experiments to test hypotheses, and analyzing data to uncover hidden patterns and relationships. You will stay at the forefront of the field by keeping abreast of the latest advancements in algorithms, tools, and theoretical frameworks, and contribute to the development of fundamental algorithms and frameworks that can be applied to various machine learning problems. Your focus will be on theoretical aspects of model design, such as improving model efficiency, reducing bias, and achieving explainability in complex models. To qualify for this role, you should have a Master's degree in Mathematics, Computer Science, or related technical fields, with 8+ years of experience in research development and a strong understanding of data structures and algorithms. You should also have 5+ years of experience building and deploying machine learning models in production, proven experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn, and experience with distributed computing systems and large-scale data processing. Excellent communication and collaboration skills, contribution to invention disclosure process, and a strong publication record in top machine learning conferences or journals are essential. Choosing ZF Group in India offers you an innovative environment at the forefront of technological advancements, a diverse and inclusive culture promoting collaboration and mutual support, career development opportunities, a global presence with international projects and collaboration, a sustainability focus dedicated to eco-friendly solutions, and a commitment to employee well-being with comprehensive health and wellness programs and a supportive work-life balance. Join the ZF team as a Senior Data Scientist - AI/ML and be part of shaping the future of mobility. Apply now to make an impact! Contact: Sowmya Nagarathinam ZF aims to build and maintain a culture where inclusiveness is lived and diversity is valued through its Diversity, Equity, Inclusion (DEI) initiatives. The company actively seeks ways to remove barriers so that all employees can rise to their full potential, embedding this vision in its operations and product development as it shapes the future of mobility.,

Job Description: Key Responsibilities: Develop, implement, and maintain advanced analytical models using machine learning algorithms and GenAI applications Utilize various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. Collaborate with cross-functional teams to identify business needs and deliver data-driven solutions. Create visually compelling dashboards and reports to present findings to stakeholders. Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance. Stay abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team. Mentor junior team members and contribute to knowledge sharing within the organization. Basic Qualifications: Bachelors or Masters degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. 8+ years of experience in advanced analytics, data science, machine learning, Generative AI or a related field. Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data. Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. Strong analytical and problem-solving skills, with an inquisitive mindset. Desired Skills: Proficient in the following advanced analytics techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling Prescriptive Analytics: Optimization, simulation modeling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including: Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives Hyper parameter tuning Prompt Engineering Embedding & Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI. Strong skills in data management, structuring, and harmonization to support analytical needs. #DentsuGlobalServices Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

Who are we looking for? Technical Lead - Fullstack Whats the story ? In India, there are more than 453+ million migrants. Less than 2% of this cohort uses mobile payments to send money home. While penetration of UPI and digital banking hit the ceiling, this invisible workforce that powers most of Bharat is still stuck in a cash economy and remains underbanked. branchX is India's first neobank enabling empathetic banking for migrant communities. Building banking that is meaningfully accessible to every aspiring Indian goes beyond the 9-5 bustle. If you are someone who derives fulfilment from purpose-led work with the ability to experiment, innovate, fail and iterate, branchX is the playground for you. Location: Navi Mumbai. About Us: Launched in June 2020, branchX is India's first neo-banking solution, enabling empathetic banking for migrant communities. Our vision is to transform the way underbanked communities manage money with a hand-holding grid aided by intelligent technologies. Headquartered in Navi-Mumbai, we are a 100+ member impact-driven team with offices in Noida, Bangalore, Kochi, Tamil Nadu, Kolkata and other locations. Where do you come into the picture? Seeking a highly skilled and experienced Ai Agentic Specialist to drive the design, development, and delivery of scalable, secure, and high-performing Output . We are seeking an Agentic AI Specialist to join our growing Fintech & AI team. In this role, you will develop AI agents capable of autonomous decision-making, with a focus on optimizing Point-of-Sale (POS) operations, inventory management, and real-time integrations. You will work on building intelligent task agents that can think, act, and make safe decisions across multiple steps with seamless interaction across APIs, analytics tools, and hardware triggers. What would a day in your life @ branchX look like? Our ideal Ai Agentic Specialist will have: Build and deploy autonomous task agents for use in operations like POS and inventory management Design agent workflows that support multi-step reasoning and safe decision-making Connect agents to external APIs , analytics dashboards , and hardware events/triggers Maintain and improve agent reliability , responsiveness, and performance in production Collaborate with developers, product managers, and system engineers to embed AI agents into business systems Required Skills: Experience with LangChain , CrewAI , or AutoGPT frameworks Understanding of reinforcement learning or reward-based agent training Familiarity with event-driven architectures and async systems Strong in Python programming and API integration Good problem-solving and debugging skills, especially in live environments Qualifications: Bachelor's or Masters degree in Computer Science, AI, Data Science, or related field 35 years of experience working with AI/ML systems, with at least 12 years focused on agent-based or autonomous systems Additional Benefits: Mediclaim insurance for employees Provident Fund (PF) contributions Supportive, innovation-first work culture Opportunities to work with cutting-edge AI systems in real-world business applications Why Join Us? Work at the forefront of autonomous AI and intelligent systems Get full ownership of projects that have real business impact Collaborate with a skilled, fast-moving team in a growing Fintech company Learn and apply the latest in AI tools, frameworks, and thinking What expertise & experiences would you need to have to play this kind of role? A strong leader capable of leading the company's growth with remarkable skills in Tech Leading

Looking for a freelance AI/ML trainer for offline classes at our Basaveshwarnagar institute. Must have experience in Python, ML, DL, and AI tools. Role includes student & corporate training. Revenue sharing model (50:50). Only freelancers preferred.

About The Role Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Machine Learning Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will be responsible for developing and configuring software systems, applying knowledge of technologies, methodologies, and tools to support projects or clients throughout the product lifecycle. Roles & Responsibilities:- Develop and implement advanced algorithms using MATLAB, Simulink and Python. -Develop models for a variety of use cases, including classification, regression, recommendation systems, time-series forecasting, and anomaly detection. -Apply advanced mathematical techniques to create robust solutions. -Participate in code reviews and provide constructive feedback to ensure code quality and adherence to best practices. -Document algorithms clearly and concisely, including design rationale, assumptions, and limitations. -Prototype and test new algorithms or methods that could be beneficial for the teams goals Professional & Technical Skills: - Strong experience in developing algorithms using MATLAB/Simulink and Python. -Proficiency in programming languages, particularly Python and R, and experience using Jupyter notebooks etc. for experimentation and model development.-Expert in supervised learning, unsupervised learning, reinforcement learning, deep learning. -Solid understanding of linear algebra, calculus, probability theory, and statistics, which are fundamental to ML algorithms. -Understanding of how to deploy ML models into production using tools like Docker, Kubernetes, and CI/CD pipelines. Additional Information:- The candidate should have a minimum of 5 years of experience in Machine Learning- This position is based at our Bengaluru office- A 15 years full time education is required Qualification 15 years full time education

Overview: Data is at the heart of our global financial network. In fact, the ability to consume, store, analyze and gain insight from data has become a key component of our competitive advantage. Our goal is to build and maintain a leading-edge data platform that provides highly available , consistent data of the highest quality for all users of the platform, including our customers, operations teams and data scientists. We focus on evolving our platform to deliver exponential scale to NCR Atleos , powering our future growth. Data & AI Engineers at NCR Atleos experience working at one of the largest and most recognized financial companies in the world, while being part of a software development team responsible for next generation technologies and solutions. Our engineers design and build large scale data storage, computation and distribution systems. They partner with data and AI experts to deliver high quality AI solutions and derived data to our consumers. We are looking for Data & AI Engineers who like to innovate and seek complex problems. We recognize that strength comes from diversity and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual. Engineers looking to work in the areas of orchestration, data modelling , data pipelines, APIs, storage, distribution, distributed computation, consumption and infrastructure are ideal candidates. Responsibilities As a Data Engineer, you will be joining a Data & AI team transforming our global financial network and improving the quality of our products and services we provide to our customers. and you will be responsible for designing, implementing, and maintaining data pipelines and systems to support the organization's data needs. Your role will involve collaborating with data scientists, analysts, and other stakeholders to ensure data accuracy, reliability, and accessibility. Key Responsibilities: Data Pipeline Development: Design, build, and maintain scalable and efficient data pipelines to collect, process, and store structured and unstructured data from various sources. Data Integration: Integrate data from multiple sources such as databases, APIs, flat files, and streaming platforms into centralized data repositories. Data Modeling: Develop and optimize data models and schemas to support analytical and operational requirements. Implement data transformation and aggregation processes as needed. Data Quality Assurance: Implement data validation and quality assurance processes to ensure the accuracy, completeness, and consistency of data throughout its lifecycle. Performance Optimization: Monitor and optimize data processing and storage systems for performance, reliability, and cost-effectiveness. Identify and resolve bottlenecks and inefficiencies in data pipelines and leverage Automation and AI to improve overall Operations. Infrastructure Management: Manage and configure cloud-based or on-premises infrastructure components such as databases, data warehouses, compute clusters, and data processing frameworks. Collaboration: Collaborate with cross-functional teams including data scientists, analysts, software engineers, and business stakeholders to understand data requirements and deliver solutions that meet business objectives . Documentation and Best Practices: Document data pipelines, systems architecture, and best practices for data engineering. Share knowledge and provide guidance to colleagues on data engineering principles and techniques. Continuous Improvement: Stay updated with the latest technologies, tools, and trends in data engineering and recommend improvements to existing processes and systems. Qualifications and Skills: Bachelor's degree or higher in Computer Science, Engineering, or a related field. Proven experience in data engineering or related roles, with a strong understanding of data processing concepts and technologies. Mastery of programming languages such as Python, Java, or Scala. Knowledge of database systems such as SQL, NoSQL, and data warehousing solutions. Knowledge of stream processing technologies such as Kafka or Apache Beam. Experience with distributed computing frameworks such as Apache Spark, Hadoop, or Apache Flink . Experience deploying pipelines in cloud platforms such as AWS, Azure, or Google Cloud Platform. Experience in implementing enterprise systems in production setting for AI, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus . Have full stack experience to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions with focus on privacy, security, fairness. Have good engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats for as-is consumption and display on the dashboards/portals. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience with containerization and orchestration tools such as Docker and Kubernetes. Familiarity with data visualization tools such as Tableau or Power BI.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Computer Vision Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Accenture Center for Advance AI (CAAI) focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products. The Applied AI Research and Innovation Group, within CAAI, is focusing on foundational and applied research in the various fields of AI Gen AI, Model building/training/finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects.AI Research and Innovation Lead Agentic AI (Experienced PhDs from Premium Institutes) - We are seeking a visionary AI Research and Innovation Lead to spearhead our efforts inAgentic AIdeveloping autonomous, goal-driven AI systems capable of reasoning, planning, and interacting in complex environments. This role is ideal for a thought leader passionate about pushing the boundaries of intelligent agents. Roles & Responsibilities:-Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection.-Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents).-Collaborate with solutioning, delivery and engineering teams to integrate agentic capabilities into scalable systems across various industries, collaborate with Responsible AI team to ensure the polices are baked in the solutions, consulting team to provide technical depth in AI, academia and industry partners for pushing the research boundaries.-Publish and present novel and innovative research findings in top AI venues.-Develop a larger AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.-Support client engagements by providing consulting and solutioning for complex client problems by bringing in niche AI skills and utilizing advanced internal and external frameworks and accelerators. Professional & Technical Skills: -A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes IITs, IISc, IIIT and ISI-Overall experience 10-15 years and Relevant experience (post PhD) 5+ years.-Deep expertise in reinforcement learning, autonomous agents, and multi-agent systems.-Strong understanding of LLMs and their integration into agentic workflows.-Experience with frameworks like LangChain, AutoGPT, or similar.-Proven track record of innovation and publications. Additional Information:- The candidate should have minimum 18 years of experience in Computer Vision.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :AI Research and Innovation Lead Agentic AI (Experienced PhDs from Premium Institutes) - We are seeking a visionary AI Research and Innovation Lead to spearhead our efforts inAgentic AIdeveloping autonomous, goal-driven AI systems capable of reasoning, planning, and interacting in complex environments. This role is ideal for a thought leader passionate about pushing the boundaries of intelligent agents. Roles & Responsibilities:-Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection.-Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents).-Collaborate with solutioning, delivery and engineering teams to integrate agentic capabilities into scalable systems across various industries, collaborate with Responsible AI team to ensure the polices are baked in the solutions, consulting team to provide technical depth in AI, academia and industry partners for pushing the research boundaries.-Publish and present novel and innovative research findings in top AI venues.-Develop a larger AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.-Support client engagements by providing consulting and solutioning for complex client problems by bringing in niche AI skills and utilizing advanced internal and external frameworks and accelerators. Professional & Technical Skills: -A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes IITs, IISc, IIIT and ISI-Overall experience 10-15 years and Relevant experience (post PhD) 5+ years.-Deep expertise in reinforcement learning, autonomous agents, and multi-agent systems.-Strong understanding of LLMs and their integration into agentic workflows.-Experience with frameworks like LangChain, AutoGPT, or similar.-Proven track record of innovation and publications. Additional Information:Accenture Center for Advance AI (CAAI) focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products. The Applied AI Research and Innovation Group, within CAAI, is focusing on foundational and applied research in the various fields of AI Gen AI, Model building/training/finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects. Qualification 15 years full time education

Educational Requirements Bachelor of Engineering Service Line Quality Responsibilities Data collection, profiling, EDA & data preparation AI Model development, tuning & validation Visualization tools (e.g., PowerBI, tableau) Present findings to business users & project management teams Propose ML based solution approaches and 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 other team members ML algorithms AI domains: NLP, speech, computer vision Supervised, Unsupervised, Reinforcement learning Tools for data analysis, auto ML, model deployment and scaling Knowledge of datasets Programming: Python Databases Knowledge of cloud platforms: Azure/AWS/GCP. Preferred Skills: Technology->Machine Learning->AI/ML Solution Architecture and Design

Crafting software with a human touch, GEOGO offers a workspace where you can be yourself. GEOGO is a digital innovation company that began in 2016 with a focus on building mobile and web apps. With a team of over 15 full-time members, GEOGO has successfully launched more than 25 apps and websites, with some products even applying for Y-Combinator and receiving funding. The company not only develops products that impact thousands of users but also designs products that aim to touch people's lives. GEOGO fosters a culture of makers who are deeply curious about their craft. The company values innovative and growth-minded individuals, providing them with the freedom to create products that resonate with users. Hands-on skills are prioritized over academic qualifications, and GEOGO strives to build teams with diverse backgrounds, skills, and perspectives to enhance problem-solving and drive innovation. Recognized by the Department of Promotion of Industry and Internal Trade, Govt. of India, GEOGO operates in the IT services industry and application development sector. The company upholds core values such as agility, craftsmanship, open discussions, ownership, teamwork, and the integration of work and life. GEOGO's culture encourages excellence, open communication, individual responsibility, teamwork, and a holistic approach to life. Currently, GEOGO is seeking an AI Researcher at the mid-senior level with expertise in Natural Language Processing (NLP), Computer Vision, Generative Models, and Reinforcement Learning. This full-time position is based in Bengaluru, Kolkata, India. Join GEOGO to be part of a dynamic team that values innovation, collaboration, and making a positive impact through technology.,

Qualcomm India Private Limited is a leading technology innovator that drives digital transformation to enable next-generation experiences and create a smarter, connected future for all. As a Qualcomm Software Engineer, your role involves designing, developing, modifying, and validating embedded and cloud edge software, applications, and specialized utility programs to launch cutting-edge products that exceed customer needs. You will collaborate with various teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: - Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 3+ years of Software Engineering experience - OR Master's degree in relevant field with 2+ years of experience - OR PhD in relevant field with 1+ year of experience - 2+ years of academic or work experience with Programming Languages such as C, C++, Java, Python, etc. - Location: Hyderabad - Experience: 1-5 Years We are looking for experienced Machine Learning Engineers with expertise in Generative AI to join our core AI team. The ideal candidate will focus on designing, developing, and deploying cutting-edge generative AI solutions, specifically in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Intelligent agent systems. Key Responsibilities: - Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources - Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation - Create robust evaluation frameworks to measure and improve model performance - Build and maintain agentic workflows for autonomous AI systems - Collaborate with cross-functional teams to identify opportunities and implement AI solutions Required Qualifications: - Bachelor's or Master's degree in Computer Science or related field - 3+ years of experience in Machine Learning/AI engineering - Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow) - Practical experience with LLM deployments and fine-tuning - Experience with vector databases and embedding models - Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure) - Strong understanding of RAG architectures and implementation Preferred Qualifications: - Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers) - Knowledge of prompt engineering and chain-of-thought techniques - Experience with containerization and microservices architecture - Background in NLP and deep learning - Background in Reinforcement Learning - Contributions to open-source AI projects - Experience with ML ops and model deployment pipelines Skills and Competencies: - Strong problem-solving and analytical skills - Excellent communication and collaboration abilities - Experience with agile development methodologies - Ability to balance multiple projects and priorities - Strong focus on code quality and best practices - Understanding of AI ethics and responsible AI development Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. Accommodations can be requested by emailing disability-accommodations@qualcomm.com or calling Qualcomm's toll-free number. Qualcomm expects its employees to adhere to all applicable policies and procedures, including security and confidentiality requirements. Note: The provided email address is solely for requesting accommodations for individuals with disabilities. Requests for updates on applications or resume inquiries will not be addressed here. Staffing and recruiting agencies are not authorized to use the Qualcomm Careers Site for submissions. Unsolicited resumes or applications will not be accepted. For more information, please contact Qualcomm Careers.,

As an AI developer specializing in LLMs, multi-ai-agentic systems, and AI reasoning frameworks, you will be expected to have hands-on experience with Langchain, LangGraph, and CrewAI. You should possess strong programming skills in Python for AI development and be familiar with ReAct prompting, Chain-of-Thought reasoning, and AI fine-tuning. Experience with tools such as Google Cloud, Vertex AI, and CI/CD automation is required to excel in this role. Your responsibilities will include evaluating AI model performance, scalability, and efficiency, as well as having knowledge of multi-agent coordination, reinforcement learning, and distributed AI. You should be able to assess models and write evaluation code, demonstrating your strong problem-solving skills for AI system optimization and troubleshooting. This role as an AI developer requires a BTECH degree and proficiency in key skills such as GENAI, GENAI DEVELOPER, and PYTHON. If you are passionate about pushing the boundaries of AI technology and have a keen interest in developing innovative solutions, this full-time, permanent position as an AI developer at our organization could be the perfect fit for you. Recruiter Name: Kathiravan G Job Code: GO/JC/807/2025,

As a Data Science Consultant with expertise in machine learning and Python, you will be responsible for understanding and implementing the end-to-end architecture of Data Science and machine learning projects. Your role will involve productionizing machine learning models, guiding the development team in implementing machine learning use cases, and providing technology consulting to define the right Data Science and ML use cases. Your key responsibilities will include data collection, profiling, exploratory data analysis, and data preparation. You will be involved in AI model development, tuning, and validation, as well as using visualization tools such as PowerBI and Tableau to present findings to business users and project management teams. Additionally, you will propose ML-based solution approaches, estimate new use cases, and contribute to AI-based modules in Infosys solutions development. It will be essential for you to continuously explore new advances in AI, execute Proof of Concepts (PoCs), and mentor and guide other team members in ML algorithms and AI domains such as NLP, speech, and computer vision. You should have experience with supervised, unsupervised, and reinforcement learning, as well as expertise in tools for data analysis, auto ML, model deployment, and scaling. Proficiency in programming languages like Python, knowledge of databases, and familiarity with cloud platforms such as Azure, AWS, and GCP will be essential for success in this role. If you have a passion for AI/ML solution architecture and design, and you are eager to contribute to cutting-edge projects in the field of Data Science and machine learning, we look forward to receiving your application.,

If you are a smart, self-motivated Machine Learning Scientist with a passion for advancing the field of Generative AI, an excellent opportunity awaits you. EXL, a rapidly expanding global digital data-led AI transformation solutions company, is seeking candidates with deep expertise in developing and fine-tuning Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic solutions, and knowledge graph technologies to drive innovative solutions in Generative AI. You will have the chance to be at the forefront of pioneering advancements in AI, working alongside bright minds in an exciting R&D environment to build cutting-edge capabilities that redefine the future of artificial intelligence. In this role, you will develop initiatives in the Generative AI domain, focusing on cutting-edge technologies like LLMs, RAG, and autonomous agents. You will design and implement advanced workflows for integrating LLMs into real-world applications across domains such as Finance, Insurance, and Healthcare. Additionally, you will drive the development of retrieval-augmented systems by combining LLMs with document retrieval, clustering, and search techniques. Keeping abreast of AI advancements is essential, as you will be required to read, adapt, and implement cutting-edge research to solve real-world challenges. Documenting research findings, methodologies, and implementations for internal and external stakeholders will also be part of your responsibilities. Qualifications: - Experience: 2-5 years in AI/ML research and development, with at least 1-2 years focusing on Generative AI, LLMs, or related fields. - Education: Masters or PhD in Computer Science, AI, or a related field from a top-tier institution is highly preferred. Required Skills: - Core Expertise: Proven experience with Large Language Models (e.g., GPT-4, BERT, LLaMA, PaLM) and fine-tuning them for domain-specific applications. In-depth knowledge of Retrieval-Augmented Generation workflows and hands-on experience with autonomous agents. - Tools & Frameworks: Proficiency in deep learning frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. Experience with distributed training and optimization on GPUs and TPUs. Familiarity with cloud ecosystems (AWS, Azure, Google Cloud) practices for scalable deployment. - Research & Development: Ability to read and adapt cutting-edge research papers for applied solutions in LLMs and knowledge graphs. Expertise in domain adaptation, few-shot learning, and zero-shot reasoning. Strong understanding of generative models and their integration with LLMs. - Problem Solving: Demonstrated ability to address challenges in unstructured data processing, including NLP and multimodal scenarios. Experience with document retrieval, clustering, and unsupervised learning techniques. Preferred Skills: - Experience with LLM fine-tuning and building Agentic systems for domain LLMs. Experience with reinforcement learning and fine-tuning via RLHF. Knowledge of large-scale optimization methods and efficient model compression techniques. Strong collaboration and communication skills, with a proven ability to lead teams. Experience with MoE based architecture and knowledge of federated learning.,

As a Machine Learning Engineer, you will be responsible for applying the latest developments in deep reinforcement learning to enhance the capabilities of autonomous systems. Your tasks will include creating OpenAI-Gym like environments for web and mobile applications, repurposing OpenAI and DeepMind RL algorithms, and formulating solutions for challenging RL problems in discrete action spaces. Additionally, you will utilize your expertise in Computer Vision, Image Processing, Image/Video Analytics, and Object Detection to prototype deep reinforcement learning and computer vision solutions. Your role will also involve collaborating with the team, including product owners, designers, and other developers, as well as customers to gain a comprehensive understanding of business and user requirements. You will be expected to build and evaluate algorithms for test optimization based on user behavior or statistical optimization, and create multi-agent systems to enhance project outcomes. To excel in this position, you should be an expert in Python and stay up to date with the latest advancements in reinforcement learning, particularly in OpenAI Gym, Self-Play, and Multiagent systems. Proficiency in deep learning frameworks such as PyTorch, Tensorflow, or Keras is essential, along with a proven track record of developing learning algorithms and/or systems. Experience in productionizing deep learning systems, pre-processing data sets for computer vision applications, and driving projects to completion with minimal guidance are crucial for success in this role. The ideal candidate will hold a Bachelor's or Master's degree in computer science, Mathematics, Machine Learning, or a related field, or possess equivalent experience. Strong communication skills, effective time management, and organizational abilities are also key qualifications required for this position. If you are a self-learner with a passion for acquiring new knowledge and skills, and possess the ability to communicate analysis results effectively, we encourage you to apply for this challenging and rewarding opportunity.,

You are a part of Flam, a rapidly growing startup with a vision to transform the MR (Mixed Reality) landscape using innovative AI technology. From immersive mixed-reality applications to cutting-edge generative AI solutions such as GANs, diffusion models, transformers, and large language models, Flam is at the forefront of fostering creativity, problem-solving, and out-of-the-box thinking. Your ability to push the boundaries of AI technology matters more to Flam than formal qualifications. Mixed Reality (MR) merges the realms of Augmented Reality and Virtual Reality to create interactive environments that blend physical and virtual worlds seamlessly. Flam leverages MR technologies to craft next-level user experiences that revolutionize digital content interaction. The AI-driven approach ensures intelligent, adaptive, and personalized immersive environments. As an AI Engineer/Researcher/Scientist at Flam, you will be involved in pioneering AI projects that combine creative design principles with cutting-edge technologies like GANs, diffusion models, transformers, large language models, and MR applications. You will have the freedom to experiment, innovate, and propose unconventional solutions, requiring you to be a fast learner who can delve into research papers and GitHub repositories to test and refine multiple solutions swiftly, ultimately selecting and implementing the most effective ones. Your responsibilities will include investigating, prototyping, and implementing state-of-the-art AI methods in various applications, exploring novel approaches to AI-driven interactions in MR environments, building, training, and optimizing deep learning models for tasks like computer vision and natural language processing, staying updated on the latest AI research and emerging technologies, proposing and leading experimental projects that push the boundaries of AI in extended reality experiences, and collaborating with cross-functional teams to seamlessly integrate AI solutions into mixed-reality applications. Qualifications required for this role include a passion for AI, a drive to explore cutting-edge research, the ability to rapidly learn new tools and concepts, creative problem-solving skills, proficiency in at least one programming language commonly used in AI, familiarity with AI frameworks, exposure to various AI techniques, understanding of design principles, and self-motivation with excellent communication and collaboration skills. Experience with AR/VR/MR technologies is a bonus but not mandatory for this position at Flam.,

As a Computer Vision Engineer at our company based in Chennai, India, you will play a crucial role in designing and prototyping machine learning architectures to enhance our solution. Your primary responsibility will involve collaborating with the founder to brainstorm and select the best approaches for computer vision, sensor fusion, and reinforcement learning applications in the field of cricket and badminton. In this new and exciting domain, we are particularly interested in candidates with experience in related areas such as robotics, autonomous systems, sports analytics, surveillance, or IoT. We value individuals who can bring innovative problem-solving skills and adaptability to tackle our unique challenges effectively. Your key responsibilities will include proposing and evaluating AI/ML architectures for real-time officiating tasks, developing computer vision algorithms to detect critical objects, designing reinforcement learning models for dynamic camera control, integrating data from video feeds with auxiliary sensors, and rapidly prototyping AI/ML modules using real or simulated data. Additionally, you will be expected to document architecture decisions, stay updated on recent research in the field, and collaborate closely with the product management and development teams. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related discipline focusing on machine learning, computer vision, robotics, or data science. You should also possess proficiency in Python, familiarity with C++, experience with deep learning frameworks such as TensorFlow or PyTorch, hands-on experience with computer vision libraries like OpenCV, and knowledge of reinforcement learning concepts and frameworks. While direct experience in sports officiating is not mandatory, relevant experience in fields like sports analytics, robotics, surveillance, or IoT would be beneficial. Soft skills such as problem-solving abilities, effective communication, adaptability, and a collaborative spirit are also highly valued in this role. Joining our team will offer you the opportunity to work in an innovative domain merging AI with sports officiating and analytics, collaborate directly with the founder and a lean, agile team, contribute to product direction, gain experience in building a product from concept to market, and receive competitive compensation with potential equity participation in our rapidly evolving startup.,

You should be an expert in LLMs, multi-ai-agentic systems, and AI reasoning frameworks with hands-on experience in Langchain, LangGraph, and CrewAI. Strong programming skills in Python for AI development are essential, along with familiarity in ReAct prompting, Chain-of-Thought reasoning, and AI fine-tuning. Experience with Google Cloud, Vertex AI, and CI/CD automation is required to excel in this role. You must possess the ability to evaluate AI model performance, scalability, and efficiency. Knowledge of multi-agent coordination, reinforcement learning, and distributed AI will be beneficial. Your role will involve evaluating models, writing evaluation code, and applying strong problem-solving skills for AI system optimization and troubleshooting. As a RoleGen AI developer, you will work in the IT/Computers - Software industry. A BTECH degree is required for this full-time, permanent position. Key skills include expertise in GENAI, GENAI Developer, and Python programming. If you are passionate about AI development and possess the necessary skills and qualifications, this role offers an exciting opportunity to work with cutting-edge technologies and contribute to innovative projects. Recruiter Name: Kathiravan G,

The role of Senior AI Professional at our organization requires a highly skilled individual who can work independently and lead AI projects from start to finish. You should have a broad experience with various AI tools, frameworks, and applications, and be comfortable in a fast-paced, innovation-driven setting. Your responsibilities will include designing, developing, and implementing AI solutions across different domains. You will manage AI projects independently, integrating tools such as NLP, Computer Vision, Generative AI, Predictive Analytics, Reinforcement Learning, and Recommendation Systems. Collaboration with cross-functional teams for data preparation, model development, testing, and deployment is essential. Staying updated with emerging AI technologies and optimizing models for performance, scalability, and cost efficiency are key aspects of the role. Additionally, documenting processes, models, and workflows for knowledge sharing within the team is crucial. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field, along with at least 5 years of hands-on experience in AI/ML development. Proficiency in Python and major AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenAI API, and LangChain is necessary. Experience in multiple AI domains including Natural Language Processing (NLP), Computer Vision, Generative AI (text, image, audio, video), Predictive Analytics & Forecasting, and Reinforcement Learning is required. You should possess strong skills in data preprocessing, feature engineering, model optimization, and familiarity with cloud AI platforms (AWS, Azure, GCP) and MLOps practices. Excellent problem-solving and communication abilities are essential for this role, along with the capacity to work independently with minimal supervision. Preference will be given to candidates based in Gurugram or Delhi, with prior experience in leading AI projects from scratch and exposure to AI integration in enterprise environments.,

The role aims to establish the strategic direction for the team, assuming responsibility for the overall Insights and analysis discipline in the market. You will collaborate with various channels to ensure an integrated response to people-based marketing objectives. We are in search of an experienced Advanced Analytics Senior Manager to become a part of our dynamic team. This position is dedicated to utilizing advanced analytics techniques, which include machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to facilitate data-driven decision-making within the retail/CPG domain. The ideal candidate should have a solid quantitative background, a keen interest in translating complex data into actionable insights, significant experience in leading mid-to-large sized teams, and the capability to design, evaluate, and implement RFPs, POCs, approaches, and frameworks. Responsibilities: - Develop, implement, and manage advanced analytical models leveraging machine learning algorithms and GenAI applications. - Apply various advanced analytics techniques to reveal trends, patterns, and insights from extensive and intricate datasets. - Work closely with cross-functional teams to identify business requirements and provide data-driven solutions. - Design visually appealing dashboards and reports to communicate findings to stakeholders. - Continuously assess and enhance existing analytics methodologies and models for improved accuracy and performance. - Keep updated on industry trends and advancements in analytics and machine learning to foster innovation within the team. - Mentor junior team members and contribute to knowledge sharing across the organization. Basic Qualifications: - Bachelor's or Master's degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. - Over 10 years of experience in advanced analytics, data science, machine learning, Generative AI, or a related field. - Profound experience in quantitative modeling, predictive analytics, text analytics, and forecasting methodologies. - Proficiency in SQL (or Google BigQuery), Python, and visualization tools such as Tableau/PowerBI. - Familiarity with the Retail/CPG/Tech industry and exposure to product, transaction, and customer-level data. - Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. - Strong analytical and problem-solving skills, coupled with an inquisitive mindset. Desired Skills: - Proficiency in various advanced analytics techniques, including Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, and Text Analytics. - Extensive knowledge of machine learning techniques, encompassing Supervised Learning, Unsupervised Learning, and Reinforcement Learning. - Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. - Proficiency in data visualization tools like Tableau or Power BI. - Strong skills in data management, structuring, and harmonization to support analytical requirements. Location: Coimbatore Brand: Merkle Time Type: Full time Contract Type: Permanent,