139 Reinforcement Learning Jobs - Page 3

The Data Science team at Meesho plays a crucial role in devising creative solutions and building intelligent systems for millions of users across a wide range of product categories. As a Principal Data Scientist in the AdTech team, you will lead innovation in the advertising platform by leveraging advanced machine learning and statistical methods. Your responsibilities will include developing algorithms to optimize ad spend and ROI, designing frameworks to measure ad effectiveness, collaborating with cross-functional teams to implement AI/ML solutions, and providing strategic insights to tech and business leadership. Key Responsibilities: - Design and develop sophisticated algorithms for bidding and budget optimization. - Create frameworks for measuring ad effectiveness and ROI. - Collaborate with product and engineering teams to implement AI/ML solutions. - Communicate insights and recommendations to tech and business leadership. - Mentor junior data scientists and provide technical guidance. - Lead research initiatives in machine learning, auction theory, and advertising technology. Requirements: - B.Tech in Computer Science, Machine Learning, or a related field with a minimum of 6 years of experience in AI/ML research. - Proficiency in PyTorch or TensorFlow, and expertise in Python and big data technologies. - Experience in auction theory, predictive modeling, causal inference, and reinforcement learning. - Strong communication skills to convey complex concepts to technical and non-technical audiences. - Prior experience in mentoring junior data scientists and managing multiple problem statements. Preferred Qualifications: - M.Tech or Ph.D. in Computer Science with a specialization in Machine Learning. - 3+ years of experience applying machine learning in AdTech or related domains. - Exposure to real-time bidding systems, programmatic advertising, or ad exchanges. - Track record of successful research-to-product transitions. - Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI).,

You will be joining Zupee, the largest online gaming company in India with a dominant presence in the Casual & Boardgame segment. At Zupee, we are dedicated to creating skill-based games that bring joy to people's lives, entertain them, and provide opportunities to earn while playing. In our pursuit over the past three years, Zupee has been committed to enhancing people's learning abilities, skills, and cognitive aptitude through scientifically crafted gaming experiences. Our games offer a refreshing break from the daily stressors and aim to bring happiness into the lives of our players. As a Lead Data Scientist at Zupee, you will play a pivotal role in driving innovation in AI ML-based algorithms and personalized offer experiences. Your responsibilities will revolve around designing and implementing advanced machine learning models, particularly focusing on reinforcement learning techniques such as Contextual Bandits, Q-learning, SARSA, and more. By utilizing your expertise in classical ML and statistical methods, you will be instrumental in creating solutions that optimize pricing strategies, enhance customer value, and generate tangible business outcomes. To excel in this role, you should have a minimum of 6 years of experience in machine learning and at least 4 years in reinforcement learning, personalization, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence. Proficiency in classical ML techniques, including Personalization, Recommendation, Pricing, using algorithms like XGBoost, Deep Learning, and hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization is essential. Moreover, you should be adept at handling tabular data, proficient in Python and SQL, and have a strong grasp of ML frameworks like scikit-learn, TensorFlow, and PyTorch. Your key responsibilities will encompass developing cutting-edge ML models for dynamic pricing and personalized recommendations, applying RL techniques to solve pricing and optimization challenges, building AI-driven pricing agents, and collaborating closely with cross-functional teams to align solutions with strategic objectives. Additionally, you will be involved in designing and analyzing controlled experiments to validate the effectiveness of your models. Join Zupee as a Lead Data Scientist and be part of a dynamic team that is poised to make a significant impact in the gaming industry by leveraging AI and ML technologies to drive business growth and enhance user experiences.,

We are looking for a Senior Python Developer with 3-4 years of experience and a solid understanding of stock market dynamics, technical indicators, and trading systems. Your main responsibilities will include taking charge of backtesting frameworks, optimizing strategies, and creating high-performance trading modules that are ready for production. The ideal candidate is expected to possess critical thinking skills when it comes to trading logic, demonstrate precision in handling edge cases, and have the ability to write clean, scalable, and testable code. Working in a fast-paced, data-intensive environment where accuracy and speed are crucial should be something you are comfortable with. Your responsibilities will involve designing and maintaining robust backtesting and live trading frameworks, developing modules for strategy building, simulation, and optimization, as well as integrating with real-time and historical market data sources such as APIs and databases. Utilizing libraries like Pandas, NumPy, TA-Lib, Matplotlib, and SciPy for data processing and signal generation will be part of your daily tasks. Additionally, you will be applying statistical methods to validate strategies, optimizing code for low-latency execution and memory efficiency, and collaborating with traders and quants to implement and iterate on ideas. Managing codebases with best practices using Git, including unit testing and modular design, is also expected from you. The qualifications we are looking for include 3-4 years of Python development experience, particularly in data-intensive settings, a strong grasp of algorithms, data structures, and performance optimization, and hands-on experience with technical indicators, trading strategy design, and data visualization. Proficiency in Pandas, NumPy, Matplotlib, SciPy, TA-Lib, as well as strong SQL skills and experience with structured and time-series data are essential. Exposure to REST APIs, data ingestion pipelines, and message queues like Kafka and RabbitMQ would be advantageous. Experience in using version control systems like Git and collaborative development workflows is also required. Preferred experience for this role includes hands-on experience with trading platforms or algorithmic trading systems, familiarity with order management systems (OMS), execution logic, or market microstructure, prior work with cloud infrastructure (AWS, GCP) or Docker/Kubernetes, and knowledge of machine learning or reinforcement learning in financial contexts is considered a bonus. This job opportunity is presented by Human Resource from Codeline Tech.,

The position of Control System Engineer at Flux Auto in Bangalore, India, is a full-time role. Flux Auto specializes in developing autonomous vehicle technology for commercial and industrial applications, aiming to democratize autonomous vehicle technology globally. As a Control System Engineer at Flux Auto, you will be part of a multidisciplinary team dedicated to solving complex challenges in autonomous technology and robotics. Preferred qualifications for this role include a Bachelor's or Master's degree in Electrical Engineering/Computer Science, Robotics, or a related field, along with a minimum of 2 years of experience in control system development and software engineering. In this role, you will be responsible for developing algorithms, designing path tracking controllers for various vehicle models, implementing control algorithms on real-time embedded systems, and collaborating with other departments to ensure consistency in the department stack. You will work towards achieving autonomy levels 3 and 4 by continuously testing algorithms on simulations and vehicle systems for verification and validation. Key requirements for this role include proficiency in C or C++, experience in control architecture design, hands-on experience with Model Predictive Control (MPC) and other optimal control methods, knowledge of data-driven modeling techniques, and a strong foundation in classical, modern, and optimal control theory. Additionally, familiarity with code optimization, ROS/ROS2 for real-time control applications, and software development skills are essential. Nice-to-have skills include an understanding of Digital Signal Processing, experience with state estimation techniques, knowledge of Deep Learning and Reinforcement Learning for control, low-level programming experience, and familiarity with MISRA C/C++ and software safety standards. The benefits of this position include a flexible schedule, life insurance, paid sick time, paid time off, Provident Fund, and the option to work from home. The work schedule is fixed from Monday to Friday, with day shifts. Additionally, there are performance bonuses and yearly bonuses available. Applicants are required to have the ability to commute/relocate to Ramachandrapura, Bengaluru - 560013, Karnataka. Two application questions regarding current and expected CTC are included in the application process.,

As a Compliance Technical Consultant at Cinque Technologies, you will be responsible for reviewing, suggesting, and leading the development of new features and functionalities in the existing AML/CFT products. Your primary focus will be to enhance the scalability of these products across various domains such as Banking, Insurance, Travel, Retail, Exchange, etc., in different geographies. By studying market demands and trends, you will play a vital role in facilitating the team and driving the company's expansion. Your performance will be evaluated based on the acquisition of new prospective clients from multiple domains and geographies, as well as finalizing deals with the company. To excel in this role, you should possess a degree in machine learning or related technical disciplines, or have equivalent industry experience. Deep expertise and practical hands-on skills in multiple machine learning techniques such as Natural Language Processing, Computer Vision, Reinforcement Learning, or Predictive Analytics are essential. Additionally, you should have in-depth knowledge and practical experience in designing enterprise-grade ML platforms that meet stringent security, compliance, performance/scalability, and operational requirements. Your role will also require practical hands-on coding skills in languages such as Python, SQL, and Java for developing advanced machine learning algorithms or key components of enterprise-grade machine learning platforms. With at least 5 years of total related industry experience, including 5+ years in leading large-scale machine learning engineering or data science initiatives in a large enterprise setting, you should be well-equipped to drive innovation in this field. Participation and contribution at industry AI/ML conferences, practical hands-on experience with industry-leading ML services/products like AWS AI/ML services, and familiarity with ML frameworks such as TensorFlow, PyTorch, MXNet, Keras, and Scikit-Learn are highly desirable. Experience with public clouds, excellent verbal and written communication skills, and the ability to effectively collaborate with senior executives and navigate complex organizational structures are also key requirements for this role. This is a full-time position with benefits including health insurance, paid sick time, and a provident fund. As part of the application process, you will be asked about your current salary, expected salary, and experience in the Fintech or Finance domain. A minimum of 3 years of experience in AI/ML is required for this role.,

Machine learning (ML) is a subfield of artificial intelligence that enables systems to learn from data and improve their performance on specific tasks without explicit programming. It focuses on developing algorithms that can analyze data, identify patterns, and make predictions or decisions. Essentially, machine learning allows computers to learn from experience, just like humans do, by adjusting their behavior based on the data they are exposed to. Core Concepts: - Learning from Data: Machine learning algorithms are trained on large datasets to identify patterns and relationships within the data. - No Explicit Programming: Unlike traditional programming, where you tell the computer exactly what to do, ML algorithms learn from data and adapt their behavior. - Prediction and Decision Making: The goal of ML is to enable systems to make accurate predictions or decisions based on the patterns they have learned. - Adaptability and Improvement: As ML models are exposed to more data, they can improve their performance and become more accurate over time. Types of Machine Learning: - Supervised Learning: Algorithms are trained on labeled data, where the desired output is provided for each input. - Unsupervised Learning: Algorithms work with unlabeled data and try to find hidden patterns or structures within the data. - Reinforcement Learning: Algorithms learn by interacting with an environment and receiving rewards or penalties for their actions. Job Types: Full-time, Fresher Benefits: - Provident Fund Schedule: - Day shift Work Location: In person,

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other 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 and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Location - Hyderabad Experience - 1-5 Years We are seeking an experienced Machine Learning Engineers specializing in Generative AI to join our core AI team. The ideal candidate will be responsible for designing, developing, and deploying cutting-edge generative AI solutions, with a focus on 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 for measuring and improving 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 technical 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 Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

As a Data Scientist, you will be responsible for building cutting-edge models using NLP, ML, and AI techniques to solve a variety of problems across different domains. Your main tasks will include working closely with the engineering team to deploy models in production, validating the models, and ensuring their effectiveness. You should possess expert-level knowledge in Natural Language Processing, Information Extraction, Scraping, and Text Mining Algorithms, as well as a strong familiarity with deep learning methods for text analytics. Proficiency in Machine Learning algorithms such as XGBoost, Linear Regression, Logistic Regression, SVM, Random Forest, Bayesian Methods, Unsupervised Learning, and Reinforcement Learning is essential for this role. Additionally, experience in time series analysis with real-world datasets, familiarity with technologies like Flask, FastAPI, and Hug, and being an expert Python programmer are key requirements for this position. You should have a proven track record of expertise demonstrated through high-quality publications, competitions, or challenges. Collaboration with domain experts, a passion for making a meaningful impact, and strong problem-solving skills are highly valued attributes. A minimum qualification of B.E/B.Tech in Computer Science, Electrical Engineering, or EXTC with a solid foundation in mathematics and statistics is necessary. Excellent communication skills, teamwork abilities, and the capacity to thrive in a startup environment are also essential for success in this role. In this role, you will be expected to take care of Text Analytics on Qualitative Customer Feedback and Call Center complaints conversations via Email or Chat. The ideal candidate should have 2 to 8 years of relevant experience, with a salary ranging from 15 Lac to 18 Lac P.A. The industry focus is on Analytics and Business Intelligence. If you are a Data Scientist with expertise in Core Python, Machine Learning, and a strong interest in an internship, this opportunity is perfect for you. Walk-ins are welcome for candidates who meet the specified qualifications and key skills outlined above.,

As a Senior Machine Learning Engineer, your primary role will involve designing, developing, and deploying advanced models for end-to-end content generation. This includes AI-driven image/video generation, lip syncing, and multimodal AI systems. Your focus will be on leveraging cutting-edge deep generative modeling techniques to produce highly realistic and controllable AI-generated content. You will be responsible for researching and developing state-of-the-art generative models, such as Diffusion Models, 3D VAEs, and GANs, to power AI-driven media synthesis. Additionally, you will work on building and optimizing AI pipelines for high-fidelity image/video generation and lip syncing using diffusion and autoencoder models. Your expertise will also be utilized in developing advanced lip-syncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. In addition to model development, you will implement and optimize models for real-time content generation and interactive AI applications. Collaboration with software engineers to efficiently deploy models on cloud-based architectures (AWS, GCP, or Azure) will be a key aspect of your role. Staying updated on the latest trends in deep generative models, diffusion models, and transformer-based vision systems will be essential to enhance the quality of AI-generated content. Your responsibilities will include designing and conducting experiments to evaluate model performance, improve fidelity, realism, and computational efficiency. Participation in code reviews, enhancing model efficiency, and documenting research findings for team knowledge-sharing will also be part of your duties. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, along with at least 3 years of experience working with deep generative models. Proficiency in Python and deep learning frameworks like PyTorch is required. Expertise in multi-modal AI, text-to-image, image-to-video generation, and audio to lip sync is essential. A strong understanding of machine learning principles, statistical methods, and problem-solving abilities are also necessary. Additionally, experience with transformers, vision-language models, cloud-based AI pipelines, and model compression techniques is advantageous. Contributions to open-source projects or published research in AI-generated content, speech synthesis, or video synthesis will be beneficial. This position offers a dynamic opportunity to work on cutting-edge AI technologies and collaborate with a team of experts in the field. If you are passionate about pushing the boundaries of AI-generated content and staying at the forefront of AI advancements, this role is ideal for you.,

As a Mid-Level AI Software Engineer at Google, you will play a crucial role in developing, deploying, and scaling AI-powered solutions that have a direct impact on Google's employees. Working within the Human Resources Engineering (HRE) team based in Hyderabad, you will have the opportunity to collaborate with a diverse group of engineers, researchers, and HR professionals to create projects that shape the future of HR at Google. Your responsibilities will include writing code for product and system development, actively engaging in design and code reviews to ensure the implementation of best practices across various technologies, contributing to documentation and educational resources, and adjusting content based on user feedback and program updates. Additionally, you will be tasked with diagnosing and resolving product or system issues by analyzing their sources and evaluating their impact on hardware, network, and service operations. To excel in this role, you must possess a Bachelor's degree or equivalent practical experience, along with at least 2 years of software development experience in one or more programming languages or 1 year of experience coupled with an advanced degree. Furthermore, you should have a minimum of 2 years of experience working with data structures or algorithms, as well as a year of experience in specialized ML areas such as speech/audio technology, reinforcement learning, or ML infrastructure. Ideally, you would hold a Master's degree or PhD in Computer Science or a related technical field, and have a background in developing accessible technologies. Your role as a software engineer at Google will involve contributing to critical projects, exploring new technologies, and adapting to the ever-evolving landscape of technology. If you are enthusiastic about tackling challenges across the full technology stack and possess leadership qualities, we encourage you to apply and be part of our mission to drive technology forward.,

You are an individual contributor at Adobe Advertising Cloud, which offers a Demand Side Platform (DSP) and a Spend Optimizer to assist customers in planning, buying, measuring, and optimizing their digital media across various platforms. The primary goal is to enable global advertisers to enhance the effectiveness of their paid media budgets by delivering connected and personalized experiences to consumers. Your role will be within the Spend Optimizer group, working alongside a team of dedicated data scientists and engineers. Together, you will utilize techniques such as reinforcement learning, time series analysis, and bayesian modeling, along with Gen AI frameworks, to optimize ad spends effectively. Your responsibilities will include identifying and developing innovative experiences for Ad Cloud customers, leveraging upcoming AI technologies to shape the product roadmap, leading a team of machine learning engineers, collaborating with cross-functional teams to define technical requirements, deploying scalable machine learning solutions, and driving innovation through research and experimentation. To succeed in this role, you must possess a deep understanding of machine learning frameworks such as PyTorch, Tensorflow, and Scikit-learn, along with strong programming skills in Python. Proficiency in core machine learning concepts, statistics, and AI is essential, including expertise in Bayesian Modeling, Time Series Analysis, Reinforcement Learning, Optimization, and Deep Learning. Additionally, experience in developing and maintaining ML models in a production environment and the ability to thrive in a collaborative and diverse workplace are crucial. The ideal candidate will have over 10 years of experience in applied Machine Learning settings, hold a PhD or Masters in Computer Science/Applied Math/Statistics, and exhibit domain expertise in Digital Ad Technologies. Strong problem-solving skills, adaptability, and the ability to influence technical and non-technical collaborators are key qualities for success in this role. Internal growth opportunities are encouraged at Adobe, with a focus on creativity, curiosity, and continuous learning. You are advised to update your Resume/CV and Workday profile, explore the Internal Mobility page on Inside Adobe, and prepare for interviews. If you apply for a role, the Talent Team will contact you within 2 weeks, and you should inform your manager if you progress to the interview stage. Adobe provides an exceptional work environment, fosters ongoing feedback through the Check-In approach, and offers meaningful benefits. If you are seeking to make a positive impact, Adobe is the place for you. For further assistance or accommodation due to a disability or special need during the application process, contact accommodations@adobe.com or call (408) 536-3015.,

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical, highly regulated industries by building explainable, safe, and aligned systems that scale responsibly. The mission of AryaXAI is to create AI tools that empower researchers, engineers, and organizations, including banks, financial institutions, and large enterprises, to unlock AI's full potential while maintaining transparency, safety, and regulatory compliance. The team at AryaXAI thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. Each team member contributes hands-on in a flat organizational structure that values curiosity, initiative, and exceptional performance, ensuring that the work not only advances technology but also meets the rigorous demands of regulated sectors. As a Senior Data Scientist at AryaXAI, you will be uniquely positioned to tackle large-scale, enterprise-level challenges in regulated environments. You will lead complex AI implementations that prioritize explainability, risk management, and compliance, directly impacting mission-critical use cases in the financial services industry and beyond. Your expertise will be crucial in deploying sophisticated models that address the nuances and stringent requirements of regulated sectors. Responsibilities include: - Model Evaluation & Customization - Architectural Assessment - Enterprise Integration - Advanced AI Techniques - Specialization & Innovation - Collaboration & Quality Assurance - Documentation & Compliance Qualifications: - Educational & Professional Background - Regulated Industry Experience (FS, Banking or Insurance is preferred) - Technical Expertise - Diverse Data Handling - Deployment Proficiency - Publications & Contributions A solid academic background in machine learning, deep learning, or reinforcement learning, ideally complemented by experience in regulated industries such as financial services or enterprise sectors, is required. The ideal candidate will have a proven track record (2+ years) of hands-on experience in data science within highly regulated environments, with a deep understanding of the unique challenges and compliance requirements in these settings. Demonstrated proficiency with deep learning frameworks (TensorFlow, PyTorch, etc.) and experience in implementing advanced techniques (Transformer models, GANs, etc.) is essential. Experience working with varied data types, including textual, tabular, categorical, and image data, and the ability to develop models that handle complex, enterprise-level datasets is also required. Expertise in deploying AI solutions in both cloud and on-premise environments, ensuring robust, scalable, and secure integrations with enterprise systems, is a key qualification. Peer-reviewed publications or significant contributions to open-source tools in AI are highly regarded.,

You are a seasoned Staff Data Scientist with over 8 years of experience in Data Science/ML, specializing in Generative AI, Large Language Models (LLMs), and deep learning. Your role at PhysicsWallah involves leading and driving innovation in Generative AI, LLMs, Retrieval-Augmented Generation (RAG), Reinforcement Learning, and model fine-tuning. You will collaborate closely with cross-functional teams to create next-gen AI solutions that enhance content generation, adaptive learning, and personalized experiences for millions of learners. As a Staff Data Scientist at PhysicsWallah, your key responsibilities include designing and developing advanced AI/ML solutions using LLMs, RAG, and RL techniques, fine-tuning and customizing models for PW-specific education scenarios, building scalable pipelines for training and deployment of GenAI models, integrating models into real-world applications, conducting experiments and testing to enhance model performance, staying updated on GenAI trends to influence internal strategies, and mentoring junior data scientists while promoting best practices within the AI team. You should possess expertise in Retrieval-Augmented Generation (RAG) architectures, transforming transformer-based models like BERT, GPT, LLaMA, and Mistral, hands-on experience in Reinforcement Learning with a focus on RLHF or similar approaches, proficiency in Python and ML frameworks such as PyTorch, TensorFlow, HuggingFace, LangChain, and Ray, strong knowledge of cloud platforms like AWS/GCP and MLOps for scalable AI model deployment, a track record of deploying ML models in production environments, excellent communication skills, and the ability to work in cross-functional environments. Preferred qualifications for this role include published papers, patents, or contributions to open-source GenAI projects, experience in edtech or adaptive learning platforms, and exposure to vector databases like FAISS, Pinecone, and Weaviate, as well as semantic search systems. Join PhysicsWallah and be part of a mission-driven organization that aims to make quality education accessible to all. You will have the opportunity to work on cutting-edge GenAI challenges with significant real-world impact in a collaborative and fast-paced environment that offers immense learning opportunities. Shape the future of education with GenAI at PhysicsWallah by applying now.,

The company you will be joining, TechGlobal, is a renowned global leader in strategy, technology consulting, and digital services, operating in over 100 countries. TechGlobal is dedicated to assisting businesses in embracing cutting-edge solutions for their digital transformation, aiming to make them digital-first and digital-ready. With a workforce of over 600,000 employees globally, including 200,000 in India, the company has a strong presence in the country with development centers in more than 10 locations across Tier 1 and Tier 2 cities. TechGlobal is known for its people-centric and employee-friendly policies, offering hybrid work options and flexible location choices due to its extensive Pan India presence. Your role at TechGlobal will involve developing applications and systems that leverage AI tools and Cloud AI services, ensuring the creation of cloud or on-prem application pipelines with production-ready quality. You will be expected to integrate GenAI models into the solutions, exploring areas such as deep learning, neural networks, chatbots, and image processing. Key Responsibilities: - Lead research and development in agentic architectures, autonomous agents, human-agent collaboration, and model/agent drift detection. - Design and prototype autonomous agents for practical applications like enterprise automation, digital assistants, and healthcare autonomous agents. - Collaborate with solutioning, delivery, and engineering teams to incorporate agentic capabilities into scalable systems for various industries. - Work with the Responsible AI team to embed policies in the solutions, collaborate with consulting teams to provide technical expertise in AI, and engage with academia and industry partners for advancing research boundaries. - Share innovative research findings in top AI forums and conferences. - Develop a strong AI talent pool and promote a culture of continuous learning within the organization, while mentoring a team of researchers and engineers. - Provide consulting and solutioning support for complex client issues by leveraging niche AI skills and utilizing advanced frameworks and accelerators. Skills Required: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics, or Statistics from prestigious institutions like IITs, IISc, IIIT, or ISI. - A total of 12-20 years of experience with at least 5 years of relevant experience post-PhD. - Profound expertise in reinforcement learning, autonomous agents, and multi-agent systems. - In-depth understanding of LLMs and their application in agentic workflows. - Hands-on experience with frameworks such as LangChain, AutoGPT, or similar tools. - Demonstrated history of innovation and publications. Qualifications & Experience: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics, or Statistics from esteemed institutions like IITs, IISc, IIIT, or ISI. - 12 to 20 years of overall experience in relevant fields.,

Armada is an edge computing startup dedicated to providing computing infrastructure to remote areas with limited connectivity and cloud infrastructure. Our mission is to bridge the digital divide by deploying advanced technology infrastructure globally. We are seeking passionate AI Engineers to join our team and work on exciting AI and ML challenges in diverse locations around the world. As an AI Engineer at Armada, you will be responsible for developing ML/DL models tailored to specific challenges, preparing datasets, evaluating model performance, and deploying solutions in production environments. Ideal candidates will have expertise in machine learning, deep learning, and real-time computer vision techniques. Experience with containerization, microservices architecture, and deploying ML models independently is essential for this role. This role is office-based at our Trivandrum, Kerala office. Key responsibilities include translating business requirements into AI/ML model requirements, building AI/ML/DL models using state-of-the-art algorithms, testing and evaluating models, and deploying them in production environments. You will also work with customers and internal teams to refine model quality and establish continuous learning pipelines. The ideal candidate will have a BS or MS degree in computer science or related field, along with 5+ years of software development experience. Proficiency in Python, Java, and/or C/C++, as well as expertise in traditional statistical machine learning and deep learning techniques, is required. Experience with major deep learning frameworks (e.g., PyTorch, Tensorflow) and solving real-world problems with machine learning is highly desirable. Preferred experience includes building software for autonomous systems, working with container platforms like Kubernetes, and strong analytical and time-management skills. We offer a competitive salary and equity options for India-based candidates, providing an opportunity to share in Armada's success and growth. If you are a self-driven individual with a passion for cutting-edge AI and thrive in a fast-paced, collaborative environment, we encourage you to apply. Join our dynamic AI Engineering team and contribute to developing disruptive edge-compute systems with real-world applications. At Armada, we are committed to equal opportunity and value teamwork, innovation, and a results-driven approach.,

The ideal candidate for this position in Ahmedabad should be a graduate with at least 3 years of experience. At Bytes Technolab, we strive to create a cutting-edge workplace infrastructure that empowers our employees and clients. Our focus on utilizing the latest technologies enables our development team to deliver high-quality software solutions for a variety of businesses. You will be responsible for leveraging your 3+ years of experience in Machine Learning and Artificial Intelligence to contribute to our projects. Proficiency in Python programming and relevant libraries such as NumPy, Pandas, and scikit-learn is essential. Hands-on experience with frameworks like PyTorch, TensorFlow, Keras, Facenet, and OpenCV will be key in your role. Your role will involve working with GPU acceleration for deep learning model development using CUDA, cuDNN. A strong understanding of neural networks, computer vision, and other AI technologies will be crucial. Experience with Large Language Models (LLMs) like GPT, BERT, LLaMA, and familiarity with frameworks such as LangChain, AutoGPT, and BabyAGI are preferred. You should be able to translate business requirements into ML/AI solutions and deploy models on cloud platforms like AWS SageMaker, Azure ML, and Google AI Platform. Proficiency in ETL pipelines, data preprocessing, and feature engineering is required, along with experience in MLOps tools like MLflow, Kubeflow, or TensorFlow Extended (TFX). Expertise in optimizing ML/AI models for performance and scalability across different hardware architectures is necessary. Knowledge of Natural Language Processing (NLP), Reinforcement Learning, and data versioning tools like DVC or Delta Lake is a plus. Skills in containerization tools like Docker and orchestration tools like Kubernetes will be beneficial for scalable deployments. You should have experience in model evaluation, A/B testing, and establishing continuous training pipelines. Working in Agile/Scrum environments with cross-functional teams, understanding ethical AI principles, model fairness, and bias mitigation techniques are important. Familiarity with CI/CD pipelines for machine learning workflows and the ability to communicate complex concepts to technical and non-technical stakeholders will be valuable.,

Responsibilities: Develop RL (PPO, SAC, TD3) in PyTorch, train in Isaac Sim/Lab, apply sim2real. Integrate with ROS 2, Jetson, real robots. Strong Python, RL, control skills. Hands-on in Isaac tools, ROS 2. Preferred: Jetson, sim2real, MPC/OSC.

We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities - Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation. - Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. - Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. - Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). - Collaborate with cross-functional teams including product, design, and engineering to bring AI-powered features to production. - Conduct research and stay up to date with the latest advancements in generative and agentic AI. - Ensure ethical, safe, and responsible AI development practices. Required Qualifications - Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. - 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. - Proficiency in Python and ML frameworks such as PyTorch - Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. - Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). - Experience with AWS and Snowflake services - Prior Healthcare experience - Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. - Excellent problem-solving and communication skills. Required Skills Artificial Intelligence,Digital Platform,Machine Learning,Python

As a Junior ML Developer in our Artificial Intelligence team, you will be responsible for designing, developing, and deploying machine learning models and algorithms to drive our innovative products and solutions. With 1 to 3+ years of experience, you will collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to create scalable and efficient machine learning solutions. Your duties and responsibilities will include designing, implementing, and optimizing machine learning models, preprocessing and analyzing large datasets, developing features to enhance model accuracy, evaluating model performance, deploying models into production environments, staying updated with the latest advancements in machine learning, collaborating with various teams to integrate machine learning capabilities, and maintaining comprehensive documentation for models, algorithms, and processes. To excel in this role, you should have 1 to 3+ years of hands-on experience in machine learning or data science, expertise in handling large datasets and working with SQL and NoSQL databases, proficiency in developing, training, and deploying machine learning models, strong communication skills, the ability to work effectively in a team-oriented environment, experience with cloud platforms like AWS, Google Cloud, or Azure, knowledge of NLP, computer vision, or reinforcement learning, and familiarity with MLOps practices and tools. This position is based in Indore, MP, and involves working from the office. You should be open to working on-site at various locations in India and globally, including the USA, UK, Australia, and the Middle East, with on-site benefits applicable. If you are passionate about machine learning and eager to contribute to cutting-edge AI solutions, we encourage you to apply from the mentioned locations.,

As an AI Engineer at Armada, you will be part of a cutting-edge edge computing startup dedicated to providing advanced technology infrastructure to remote areas with limited connectivity and cloud infrastructure. Your role will involve harnessing the power of AI to revolutionize operations and enhance lives in some of the most isolated regions globally. You will have the opportunity to work on a diverse array of AI and ML challenges on a global scale, from the mines of Australia to the oil fields of Northern Canada and the coffee plantations of Colombia. Ideal candidates will be passionate about AI and possess expertise in machine learning, deep learning, and real-time computer vision techniques. Your responsibilities will include translating business requirements into AI/ML model requirements, preparing and evaluating datasets, building models using state-of-the-art algorithms such as transformers, testing and benchmarking model quality, and deploying models in production environments. Additionally, you will collaborate with customers and internal teams to refine model quality and establish continuous learning pipelines. To qualify for this role, you should hold a BS or MS degree in computer science or a related technical field, have at least 5 years of software development experience with proficiency in Python, Java, or C/C++, and possess hands-on expertise in machine learning techniques and algorithms. Experience with deep learning frameworks such as PyTorch and TensorFlow, as well as familiarity with containers and modular software design, is essential. Preferred qualifications include experience in building software for autonomous systems, producing computationally efficient software for real-time applications, and a background in container platforms like Kubernetes. Strong analytical, time-management, and communication skills are also highly valued. If you are a self-driven individual with a passion for cutting-edge AI technologies and a desire to tackle challenging AI and ML problems, Armada offers a dynamic environment where you can contribute to the development of high-performance computing solutions for various industries. Join us in bridging the digital divide and empowering AI systems to interact with the real world seamlessly and securely. In return, Armada offers a competitive base salary and equity options for India-based candidates, providing an opportunity to share in the success and growth of the company. If you are a go-getter with a growth mindset, a detail-oriented problem-solver, and a collaborative team player who thrives in a fast-paced environment, we want to hear from you. Apply now and be part of our mission to revolutionize edge computing with AI.,

As a Staff Data Scientist at PhysicsWallah (PW), you will play a pivotal role in driving innovation in Generative AI and advanced Machine Learning (ML) to enhance personalized and scalable learning outcomes for students across Bharat. With your expertise and experience in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Reinforcement Learning, and model fine-tuning, you will lead the design and development of cutting-edge AI solutions that power intelligent content generation, adaptive learning, and personalized experiences for millions of learners. Your responsibilities will include collaborating with cross-functional teams to create next-gen AI solutions using LLMs, RAG, and RL techniques. You will fine-tune and customize models for PW-specific education use cases, architect scalable pipelines for model training and deployment, integrate models into real-world applications, conduct rigorous experimentation and testing to enhance model performance, and stay updated with the latest trends in AI frameworks and research. To excel in this role, you will need a minimum of 8 years of hands-on experience in Data Science/ML, with a recent focus on GenAI, LLMs, and deep learning. Proficiency in RAG architectures, transformer-based models, Reinforcement Learning, Python, ML frameworks such as PyTorch and TensorFlow, cloud platforms like AWS/GCP, and MLOps for scalable AI model deployment is essential. Your track record of shipping ML models into production environments, strong communication skills, and ability to work in cross-functional settings will be crucial. If you have published papers, patents, or contributions to open-source GenAI projects, experience in edtech or adaptive learning platforms, exposure to vector databases and semantic search systems, and are driven by a passion to make quality education accessible to all, then joining PW will provide you with an opportunity to work on cutting-edge GenAI problems with a large-scale real-world impact in a collaborative and fast-paced environment that offers immense learning opportunities. Shape the future of education with GenAI at PhysicsWallah by applying now and contributing to our mission of democratizing learning and transforming the way students access affordable, high-quality education.,

As a Data Science Manager in the Research and Development (R&D) team at our organization, you will play a crucial role in driving innovation through advanced machine learning and AI algorithms. Your primary responsibility will involve conducting applied research, development, and validation of cutting-edge algorithms to address complex real-world problems on a large scale. You will collaborate closely with the product team to gain insights into business challenges and product objectives, enabling you to devise creative algorithmic solutions. Your role will entail creating prototypes and demonstrations to validate new ideas and transform research findings into practical innovations by collaborating with AI Engineers and software engineers. In addition, you will be responsible for formulating and executing research plans, carrying out experiments, documenting and consolidating results, and potentially publishing your work. It will also be essential for you to safeguard intellectual property resulting from R&D endeavors by working with relevant teams and external partners. Furthermore, part of your role will involve mentoring junior staff to ensure adherence to established procedures and collaborating with various stakeholders, academic/research partners, and fellow researchers to deliver tangible outcomes. To excel in this position, you are required to possess a strong foundation in computer science principles and proficient skills in analyzing and designing AI/Machine learning algorithms. Practical experience in several key areas such as supervised and unsupervised machine learning, reinforcement learning, deep learning, knowledge-based systems, evolutionary computing, probabilistic graphical models, among others, is essential. You should also be adept in at least one programming language and have hands-on experience in implementing AI/machine learning algorithms using Python or R. Familiarity with tools, frameworks, and libraries like Jupyter/Zeppelin, scikit-learn, matplotlib, pandas, Tensorflow, Keras, Apache Spark, etc., will be advantageous. Ideally, you should have at least 2-5 years of applied research experience in solving real-world problems using AI/Machine Learning techniques. Additionally, having a publication in a reputable conference or journal related to AI/Machine Learning or holding patents in the field would be beneficial. Experience in contributing to open-source projects within the AI/Machine Learning domain will be considered a strong asset. If you are excited about this challenging opportunity, please refer to the Job Code DSM_TVM for the position based in Trivandrum. For further details, feel free to reach out to us at recruitment@flytxt.com.,

As a Python Developer, you will be responsible for leveraging your experience to build standard supervised (GLM ensemble techniques) and unsupervised (clustering) models using industry libraries such as pandas, sklearn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be crucial in this role. Your role will also involve significant experience in Python, encompassing tasks such as writing unit tests, developing packages, and crafting reusable and maintainable code. An essential aspect of your responsibilities will be the ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and tableau. Experience with continuous integration/development tools like Jenkins and Spark ML pipelines will be advantageous. We are looking for a self-starter who not only excels individually but also collaborates effectively with colleagues, bringing innovative ideas to enhance our collective mindset. For the ideal candidate, possessing an advanced degree with a strong foundation in the mathematical principles underpinning machine learning, such as linear algebra and multivariate calculus, would be a significant advantage. Additionally, expertise in specialized areas like reinforcement learning, NLP, Bayesian techniques, or generative models would be highly valued. Your ability to effectively present ideas and analytical findings in a compelling manner that influences stakeholders will be a key aspect of this role. Demonstrated experience in developing analytical solutions within an industry context and a genuine passion for utilizing data science ethically to enhance customer-centricity in financial services will set you apart. If you are ready to contribute to a dynamic team by applying your Python development skills and data science expertise to drive impactful solutions in the financial services sector, we encourage you to explore this opportunity further.,

As an experienced Machine Learning Engineer with 5 to 7 years of experience in Pune, you will play a crucial role in developing, training, and fine-tuning Machine Learning models for AI/ML applications. Your responsibilities will include designing and implementing data pipelines for data processing, model training, and inference. You will be tasked with deploying models using MLOps and integrating them with cloud infrastructure. Collaboration with product managers and designers to conceptualize AI-driven features will be an essential part of your role. Additionally, you will be expected to research and implement various ML and AI techniques to improve performance. To excel in this position, you should have proficiency in Python and ML frameworks such as Scikit-learn, XGBoost, TensorFlow, and PyTorch. Experience with SQL and ETL data pipelines, including data processing and feature engineering, is required. Familiarity with Docker and container-based deployments for creating cloud-agnostic products is essential. A strong understanding of AI and Machine Learning concepts, including Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning, is crucial. Knowledge of at least one cloud platform (AWS, Azure, GCP) and ML deployment strategies, preferably Azure, is expected. Exposure to LLMs (e.g., OpenAI, Hugging Face, Mistral) and foundation models will be beneficial, along with an understanding of various Statistical models.,

As a Python Developer, you will collaborate closely with the engineering team to design, develop, and deploy software solutions, primarily focusing on Agentic AI applications. Your role involves contributing to the creation of intelligent systems that operate autonomously and make data-driven decisions. This hands-on position requires a combination of technical skills and a passion for building innovative AI-driven products. Your key responsibilities will include developing and maintaining Python-based applications that emphasize Agentic AI models and solutions. You will work alongside data scientists and machine learning engineers to integrate AI models into production systems. Additionally, you will design, implement, and test software that interacts with large datasets, applying Agentic AI techniques to enhance decision-making processes. Your role will also involve optimizing and scaling AI systems to ensure high performance and reliability, as well as integrating AI solutions with various platforms and tools for end-to-end product deployment. Participation in code reviews, debugging, and troubleshooting will be essential to maintain a high standard of code quality. It is crucial to stay updated with the latest advancements in Agentic AI, machine learning, and Python technologies to continually enhance development processes. The required skills and qualifications for this role include a minimum of 2 years of professional experience in Python development. Hands-on experience with Agentic AI, such as reinforcement learning, decision-making algorithms, and autonomous systems, is essential. A strong understanding of AI models and their real-world applications is necessary, along with familiarity with Python libraries like TensorFlow, PyTorch, scikit-learn, and NumPy. Proficiency in working with APIs, databases, and version control systems like Git is also required. Strong problem-solving abilities and a drive to create scalable and efficient systems are key qualities for this position. Effective communication skills are essential to collaborate successfully with cross-functional teams. Preferred qualifications for this role include experience with cloud platforms such as AWS, Google Cloud, or Azure for deploying Python-based applications. Knowledge of agent-based modeling and multi-agent systems, as well as familiarity with Docker, Kubernetes, or other containerization technologies, would be advantageous.,