139 Reinforcement Learning Jobs - Page 4

The job requires a candidate with over 5 years of experience in modeling, developing, and validating robotics/agent-oriented software solutions. You should possess core statistical and graphical modeling skills and have the ability to train and develop transformer-based models for technology and image processing. Experience with reinforcement learning is also preferred. The position is based in Hyderabad, Bangalore, Kolkata, Mumbai and follows a hybrid work model. The ideal candidate should be available to join immediately or have a notice period of one month. If you meet the above requirements and are looking to work on cutting-edge software solutions in a dynamic environment, this role could be a great fit for you.,

As a Lead AI Engineer at our company, you will be responsible for managing projects, clients, and teams with ease while inspiring confidence. You will have the opportunity to work with foreign clients and diverse cross-functional teams. We are seeking an individual with proven experience as an AI Developer, possessing a strong understanding of machine learning algorithms such as regression, clustering, neural networks, and decision trees. In this role, you will work with AI/ML frameworks like TensorFlow, PyTorch, Keras, and be proficient in programming languages such as Python, R, or other languages used for AI development. Familiarity with data science libraries like Pandas, NumPy, and Scikit-learn is essential. Knowledge of NLP, computer vision, or reinforcement learning would be a plus. Experience with cloud platforms like AWS, Azure, and Google Cloud, as well as deploying AI solutions in production, is also required. Your responsibilities will include developing, training, and optimizing machine learning models and AI systems. You will collaborate with data scientists, software engineers, and product managers to integrate AI models into existing applications. Building AI-powered tools, platforms, and applications will be a key part of your role. You will research and implement machine learning algorithms for classification, prediction, recommendation, and NLP, while also monitoring model performance and performing necessary tuning and updates. As a Lead AI Engineer, you will be expected to write clean, scalable, and efficient code for AI algorithms, stay updated with the latest AI/ML trends, tools, and frameworks, and conduct data preprocessing and feature engineering to ensure data quality for AI applications. Troubleshooting AI-related issues, improving model accuracy, and communicating effectively with external partners, customers, and product owners will also be part of your responsibilities. The ideal candidate will have an innovative and detail-oriented approach to problem-solving, excel at communicating with internal teams and external partners, and be a resourceful problem solver capable of finding solutions and navigating challenges in ambiguous situations. If you are passionate about AI engineering and possess the required skills and experience, we encourage you to apply for this exciting opportunity.,

Responsibilities : Serve as expert in Machine Learning, develop framework to build Production grade AI/ML models. Apply AI/ML to accelerate business innovation and solve impactful business problems for our clients. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions. Present results, insights, and recommendations to senior management with an emphasis on the business impact. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization. Required Skills: Deep knowledge in AI/ML algorithms e.g. Regression, Classification, Clustering, Time Series, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning. Proficient in using some of the following techniques for business problems/projects: Linear & Logistic Regression, Decision Trees, Random Forests, K-nearest neighbors, Support Vector Machines ANOVA, Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN/LSTM. Hands-on in programming languages Python/R, Spark or Scala, SQL. Hands-on in AI/ML frameworks and libraries (e.g. TensorFlow, Keras, PyTorch). Hands-on in Azure cloud AI/ML services. Expert in Statistical Modelling & Algorithms e.g. Hypothesis testing, Sample size estimation, A/B testing. Good knowledge in Mathematical programming - Linear Programming, Mixed Integer Programming etc., Stochastic Modelling - Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models. Some experience with Optimization Solvers (Gurobi, Cplex) and Algebraic Programming Languages(PulP). Experience in deploying and monitoring classical ML models in production, delivering data products to end-users, good knowledge in DevOps/MLOps - CI/CD pipelines. Good to have experience in data processing frameworks e.g. Apache Spark, Hadoop, Databricks.

Description Engineering at Innovaccer With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, were shaping the future and making a meaningful impact on the world. About the Role The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions. Data is our bread and butter for innovation. We are looking for a Software Development Engineer II (AI) who understands healthcare data and can leverage the data to build algorithms to personalize treatments based on the clinical and behavioral history of patients. The purpose for this role, would be to build agents for the platform, automating areas around support engineering and data engineering. We are looking for a superstar who will define and build the next generation of predictive analytics tools in healthcare. A Day in the Life Design and lead the development of various artificial intelligence initiatives to help improve health and wellness of patients Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them. Proven ability to break down complex business problems into machine learning problems and design solution workflows. Work with our data platform team to help them successfully integrate the agent capability or algorithms in their product/workflows. Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle. What You Need 3+ years of experience in Software Engineering, with experience inbuilding APIs, who understand how APIs function, and can effectively develop applications. Familiarity with Prompt Engineering and working experience in fine tuning LLMs Hands-on experience of working with Multi-Agent Systems with Frameworks like CrewAI/Langchain/Autogen (One of them is a must) and Prompt engineering. Hands-on with Vector Databases such as ChromaDB, FAISS etc. Experience in Reinforcement learning (RL), specially for autonomous agents. Working experience with Embedding models and RAG design. Strong hands-on experience in Python - building enterprise applications along with optimization techniques, along with working with API integrations (Fast API/Django) Hands on experience with at least one ML platform from amongst Databricks, Azure ML, Sagemaker Good to have - Comfortable with Docker, Kubernetes, AWS cloud technologies, Snowflake and also some experience in Healthcare. Preferred Skills Python - Building highly scalable and performant applications LLM - Deep experience in working and fine tuning LLM Models Re-inforcement Learning and MAS Vector Databases Here’s What We Offer Generous Leaves: Enjoy generous leave benefits of up to 40 days. Parental Leave: Leverage one of industry's best parental leave policies to spend time with your new addition. Sabbatical: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer comprehensive health insurance to support you and your family, covering medical expenses related to illness, disease, or injury. Extending support to the family members who matter most. Care Program: Whether it’s a celebration or a time of need, we’ve got you covered with care vouchers to mark major life events. Through our Care Vouchers program, employees receive thoughtful gestures for significant personal milestones and moments of need. Financial Assistance: Life happens, and when it does, we’re here to help. Our financial assistance policy offers support through salary advances and personal loans for genuine personal needs, ensuring help is there when you need it most. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details.

Quale Infotech is a company focused on Intelligent Process Automation (IPA), AI and other new-age technologies. Our AI innovation hub is one of the leading research sites for new age technologies. IPA practice at Quale Infotech is one of the largest and most respected with experts having decades of experience. Your role will be to be a pro-active member of our AI team working with on cutting-edge data science & analytics projects. This role involves leveraging machine learning, artificial intelligence, and big data technologies to build intelligent analytics solutions that drive business insights and decision-making. Key Responsibilities: Design, develop, and implement advanced machine learning models and AI-driven features for an analytics platform. Work with large-scale structured and unstructured data to extract meaningful insights and improve predictive capabilities. Collaborate with software engineers and product teams to integrate AI solutions into the analytics platform. Optimize model performance, scalability, and real-time processing capabilities. Develop and maintain data pipelines for efficient data processing and transformation. Research and stay updated with the latest advancements in AI, machine learning, and data science techniques. Provide technical leadership in best practices for AI/ML model deployment, monitoring, and lifecycle management. Required Skills & Qualifications: Minimum Masters in Data Science, Machine Learning, Computer Science, Mathematics, or a related field. Profeciency in RAG Proficiency in Python, R, or Scala and ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with big data technologies such as Apache Spark, Hadoop, or Databricks. Strong understanding of NLP, deep learning, reinforcement learning, and AI algorithms. Strong problem-solving and analytical skills with a passion for AI-driven innovation.,

Location: Anywhere in the World Permanent Remote (Europe, Latam, Asia ) Contract length -6 Months Opportunity- Full Time, 8 hours, Must-Have Total Years Of exp- 4+ years experience mandatory Mandatory Skills: Rust - min 3 yrs, CI/CD - min 3 yrs, Git - min 3 yrs About The Role We are seeking a proficient Rust Developer with a strong interest in machine learning and human-computer interaction to join our team. In this role, you will contribute to the development and refinement of large language models (LLMs) by participating in Reinforcement Learning from Human Feedback (RLHF) tasks. Your work will involve building tools to facilitate human feedback, as well as directly providing insights to guide the training and improvement of LLMs Key Responsibilities Participate in RLHF tasks by providing human feedback on LLM outputs, helping to guide model training. Evaluate the responses generated by LLMs, identifying areas where the model needs improvement and providing qualitative feedback. Work closely with data scientists and ML engineers to ensure that feedback is accurately reflected in the models learning process. Collaborate with cross-functional teams to understand the requirements for human feedback in the RLHF process. Provide insights into how human feedback can be systematically incorporated into model training and improvement. Document processes and best practices for providing and integrating human feedback in LLM training. Stay informed about the latest advancements in reinforcement learning, LLMs, and human-computer interaction. Experiment with new methods and tools to improve the collection and integration of human feedback in RLHF tasks. Requirements Technical Skills: 3+ years of experience in Rust development, with a solid understanding of systems programming, performance optimization, and concurrency. Familiarity with machine learning concepts, particularly reinforcement learning, is highly desirable. Experience with human-computer interaction, user feedback systems, or similar domains is a plus. Proficiency with version control systems (e.g., Git) and CI/CD pipelines. Analytical Skills: Strong problem-solving skills, with the ability to analyze and improve the efficiency of RLHF tasks. Experience in evaluating and providing constructive feedback on AI/ML outputs. Skills: problem-solving,rust,performance optimization,learning,machine learning,problem-solving skills,cd,reinforcement learning,reinforcement,systems programming,human-computer interaction,concurrency,ci/cd,ci/cd pipelines,analytical skills,ai/ml,git,user feedback systems,version control systems,ci,

The Machine Learning Engineer role focuses on enhancing interactions across user gaming experiences and systems by designing, coding, training, documenting, deploying, and evaluating large-scale machine learning systems efficiently. You will have the opportunity to create exceptional products and experiences for millions of users within an agile environment, collaborating seamlessly with other teams. Immersion in cutting-edge ML technologies, tools, and processes is a key aspect, contributing to the advancement of technical objectives and architectural initiatives. As an ML Engineer, your responsibilities include designing and developing machine learning models and algorithms tailored to various applications. Implementation and optimization of these models are crucial tasks, alongside collaborating with cross-functional teams to integrate the models into production systems effectively. Staying updated with the latest advancements in machine learning and AI technologies is essential to ensure solutions remain cutting-edge and effective. Your tasks will involve: - Developing, implementing, and optimizing machine learning models for applications such as predictive safety, content personalization, search, virtual assistant, time series forecasting, and clustering. - Utilizing state-of-the-art machine learning and deep learning technologies for multilingual text classification, language modeling, and multi-modal learning. - Collaborating with cross-functional teams to understand business requirements and translate them into analytical solutions. - Conducting thorough exploratory data analysis to uncover patterns, trends, and valuable insights. - Deploying machine learning models into production environments using AWS services and implementing scalable solutions for real-time and batch predictions. Required Skills and Qualifications: - Bachelor's degree in computer science, Engineering, Statistics, or a related field. - 5+ years of working experience in advanced machine learning areas like computer graphics, reinforcement learning, recommendation systems, and natural language processing. - Proficiency in Python programming and experience with PyTorch, TensorFlow, or similar frameworks. - Experience in designing and implementing machine learning-based solutions, including online safety, conversational systems, recommender systems, search engines, personalization, time series forecasting, and A/B testing. - Strong machine learning, statistical, and analytical skills. What We Offer: - Bootstrapped and financially stable with high pre-money evaluation. - Above industry remunerations. - Additional compensation tied to Renewal and Pilot Project Execution. - Additional lucrative business development compensation. - Opportunity to work closely with industry experts driving strategy with data and analytics. - Firm building opportunities for holistic professional development, growth, and branding. - Empathetic, excellence, and result-driven organization that believes in mentoring and growing a team with a constant emphasis on learning.,

Role - Lead AI Engineer Experience: 3+ years in AI/ML Location: Gurgaon, work from office About Tap Health: Tap Health is a deep-tech platform that is transforming chronic care management with AI and changing how you access health information. Powered by our proprietary Medical AI model, VaiD, Tap Health is designed to make healthcare accessible to millions. We are developing next-generation Digital Therapeutic products that redefine chronic illness management through AI-driven, hyper-personalized care. Our platform helps users manage conditions such as diabetes, hypertension, PCOS, pregnancy and asthma by delivering daily structured digital therapeutics, lifestyle interventions, personalized nutrition and exercise guidance and real-time monitoring, all without requiring human intervention. Leveraging AI and adaptive algorithms, Tap Health dynamically personalizes each users care journey, delivering enhanced insights, interventions, motivation, adherence and clinical outcomes at a fraction of traditional healthcare costs. Beyond Digital Therapeutics, the Tap Health platform also provides free primary illness diagnosis based on symptoms and instant health advice through a seamless, voice-first experience. www.tap.health Role Overview: Lead AI Engineer We are hiring a full-time Lead AI Engineer in Gurgaon to drive AI-driven healthcare innovations. The ideal candidate has 3+ years of AI/ML experience, 6+ months of GenAI production experience, and 1+ year of hands-on GenAI product development. You need to have a strong data science background and have expertise in GenAI, Agentic AI deployments, causal inference, and Bayesian modeling, with a strong foundation in LLMs and traditional models. You will be collaborating with the AI, Engineering, and Product teams to build scalable, consumer-focused healthcare solutions. As a Lead AI Engineer, you will be the go-to expertthe engineer others turn to when they hit roadblocks. You will mentor, collaborate, and enable high product velocity while fostering a culture of continuous learning and innovation. Skills & Experience The ideal candidate should have the following qualities: Strong understanding of fine-tuning, optimization, and neural architectures. Hands-on experience with Python, PyTorch, and FastAI frameworks. Experience running production workloads on one or more hyperscalers (AWS, GCP, Azure, Oracle, DigitalOcean, etc.). In-depth knowledge of LLMshow they work and their limitations. Ability to assess the advantages of fine-tuning, including dataset selection strategies. Understanding of Agentic AI frameworks, MCPs (Multi-Component Prompting), ACP (Adaptive Control Policies), and autonomous workflows. Familiarity with evaluation metrics for fine-tuned models and industry-specific public benchmarking standards in the healthcare domain. Knowledge of advanced statistical models, reinforcement learning, and Bayesian inference methods. Experience in Causal Inference and Experimentation Science to improve product and marketing outcomes. Proficiency in querying and analyzing diverse datasets from multiple sources to build custom ML and optimization models. Comfortable with code reviews and standard coding practices using Python, Git, Cursor, and CodeRabbit.,

Job Description: We are seeking a highly skilled AI ML engineer with machine learning and Python experience Knowledge on end to end architecture of Data Science and machine learning project Experience in productionizing machine learning models and guide development team for implementing machine learning use cases The ideal candidate will have a strong background in AI ML service deployed cloud infrastructure and a comprehensive understanding of data engineering and MLOps practices Key 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 Experience in ML algorithms NLP GenAI based solutions Supervised Unsupervised Reinforcement learning Collaborate with data scientists and engineers to support ML model training evaluation and deployment Strong knowledge of Knowledge of AI services from cloud platforms Azure AWS GCP Apply advanced MLOps practices to streamline model deployment monitoring and lifecycle management Technical Requirements: Proficiency in Python for data processing automation tasks and model development Strong understanding of ML model training evaluation and deployment Proficiency in GenAI based solution development Strong knowledge of Knowledge of AI services from cloud platforms Azure AWS GCP Experience in python based web application for AI ML use cases Preferred Skills: Technology->Artificial Intelligence->Computer Vision,Technology->Machine Learning->Python

Educational 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 Mentoringguide other team members ML algorithms AI domainsNLP, speech, computer vision Supervised, Unsupervised, Reinforcement learning Tools for data analysis, auto ML, model deployment and scaling Knowledge of datasets ProgrammingPython Databases Knowledge of cloud platforms Azure/AWS/GCP. Preferred Skills: Technology-Machine Learning-AI/ML Solution Architecture and Design

The IT Technical Engineer Act as a technical software expert, accountable for software development including the research, design, programming, and testing of operating or new software. Supporting business and IT to adapt digital technologies faster and to improve application or solution performance. Skills Required: Typically 1-2 years of professional experience. . Programming Languages Python Widely used for machine learning, automation, and data analysis tasks. R Popular for data analysis and statistics, commonly used in machine learning. 2. Machine Learning Concepts Supervised, Unsupervised, and Reinforcement Learning Understanding these core techniques is essential. Model Evaluation Metrics Knowledge of metrics like accuracy, precision, recall, F1-score, ROC-AUC, etc. Model Overfitting and Underfitting Understanding how to test for and mitigate these issues. Feature Engineering Knowledge of how to create meaningful features for ML models. 3. Testing Knowledge Test Automation Proficiency in creating test scripts for AI/ML models to validate the functionality, performance, and accuracy of models. Unit Testing Writing unit tests for machine learning pipelines and algorithms. Integration Testing Ensuring the integration of different components like data processing pipelines, model training, and prediction services work as expected. Regression Testing Ensuring that new code does not break existing functionality. Performance Testing Validating the efficiency of models and ensuring that they perform well in real-world environments. Responsibilities : Design, implement, and execute test cases for AI/ML models. Conduct performance, stress, and regression testing for models. Ensure data quality and validation for training and testing datasets. Test model robustness to ensure reliability in various edge cases. Collaborate with Data Scientists and AI Engineers to ensure the quality of model outputs. Implement automated testing frameworks specific to AI/ML applications. Conduct ongoing monitoring and reporting of model performance post-deployment. Validate the fairness and compliance of models with ethical and regulatory standards.

About the Team We are looking for a passionate AI/ML Engineer with a strong background in Generative AI, NLP, and large-scale data systems. As an individual contributor (IC3/IC4), youll work at the intersection of research and productizationbuilding intelligent, scalable, and secure AI systems that power next-gen enterprise experiences across Nutanix platforms. This is your opportunity to design and deliver cutting-edge AI capabilities that simplify cloud infrastructure, elevate data insights, and transform user interactions. Your Role such as intelligent assistants, autonomous infrastructure, anomaly detection, recommendation systems, and more. Contribute to and/or lead initiatives to fine-tune and optimize LLMs (e.g., LLaMA, Mistral, GPT) using Nutanix-specific datasets. Work on RAG pipelines, embeddings, vector DBs, prompt engineering, and responsible AI guardrails. Collaborate with product managers, designers, and platform engineers to integrate AI features seamlessly into Nutanix products. Own the end-to-end ML lifecycle: from data engineering, experimentation, training, and evaluation to deployment and monitoring. Build reusable ML components, services, and APIs with a focus on scalability, observability, and reliability. Contribute to internal AI platforms/tools and best practices, including model evaluation frameworks and GPU/accelerator optimization. Stay on top of emerging AI/ML research and tools and help drive innovation across the org. What You Will Bring Basic Requirements (IC3/IC4) Bachelor's or Masters in Computer Science, Machine Learning, or related field. 36 years (IC3) or 69 years (IC4) of industry experience in AI/ML with at least 12 years in Generative AI and LLMs. Strong programming skills in Python, familiarity with ML/AI libraries (PyTorch, TensorFlow, Hugging Face, LangChain, etc.). Experience with fine-tuning LLMs, prompt engineering, embeddings, and working with vector databases (e.g., FAISS, Pinecone, Weaviate). Hands-on experience in ML Ops: data versioning, model serving, and monitoring. Solid understanding of NLP techniques, Transformers, and encoder-decoder architectures. Familiarity with cloud-native architectures, Kubernetes, and scalable inference platforms (e.g., Triton, vLLM). Preferred Qualifications Experience with open-source LLMs (e.g., LLaMA3, Mistral, Mixtral). Familiarity with retrieval-augmented generation (RAG) architectures and open-source toolkits like Haystack or LangChain. Experience working in a platform team building reusable ML components for wider adoption. Exposure to multi-agent systems, autonomous decision-making, or reinforcement learning is a plus. Understanding of Responsible AI principles including bias detection, explainability, and hallucination mitigation.

About the Role Love deep data? Does innovative-thinking describe you? Then you may be our next Lead Data Scientist. In this role youll be the Dumbledore to our team of wizards - our junior data scientists. You will be responsible for transforming scattered pieces of information into valuable data that can be used to achieve goals effectively. You will extract and mine critical bits of information and drive insightful discussions that result in app innovations. What you will do Own and deliver solutions across multiple charters by formulating well-scoped problem statements and driving them to execution with measurable impact Mentor a team of data scientists (DS2s and DS3s), helping them with project planning, execution, and on-call issue resolution Design and optimize key user journeys (e.g., Reseller Experience, Search, Fraud Systems) by identifying user intents and behavioral patterns from large-scale data Collaborate with machine learning engineers and big data teams to build scalable ML pipelines and improve inference performance Continuously track and improve model performance using state-of-the-art (SOTA) techniques and libraries Lead experimental design for usability improvements and user growth, leveraging statistical rigor Contribute to system-level thinking by enhancing internal tools, frameworks, and libraries to improve team efficiency and code quality Partner with engineering to ensure data reliability, compliance with security/PII guidelines, and integration of models into production systems Proactively explore new areas of opportunity through research, data mining, and academic collaboration, including publishing and attending top-tier conferences Communicate findings, plans, and results clearly with DS, product, and tech stakeholders, and create technical documentation consumable by both DS and engineering teams Conduct research collaborations with premier colleges and universities Attend conferences and publish research papers What you will need A Bachelor's degree in Computer Science, Data Science, or a related field; a Masters is a plus 6-8 years of experience in data science with a strong track record of building and deploying ML solutions at scale Deep understanding of core ML techniques supervised, unsupervised, and semi-supervised learning along with strong foundations in statistics and linear algebra Exposure to deep learning concepts and architectures (e.g., CNNs, RNNs, Transformers) and their practical applications Proficiency in Python and SQL, with experience in building data pipelines and analytical workflows Hands-on experience with large-scale data processing using Apache Spark, Hadoop/Hive, or cloud platforms such as GCP Strong programming fundamentals and experience writing clean, maintainable, and production-ready code Excellent analytical and problem-solving skills the ability to extract actionable insights from messy and high-volume data Solid grasp of statistical testing, hypothesis validation, and common pitfalls in experimental design Experience designing and interpreting A/B tests, including uplift measurement and segmentation Ability to work closely with product and engineering teams to translate business goals into scalable ML or data solutions Bonus points for: Experience with reinforcement learning or sequence modeling techniques Contributions to ML libraries, internal tools, or research publications.

We're seeking a talented freelance Research Scientist to join our dynamic team and contribute to cutting-edge AI research and development. This is a remote, flexible opportunity where you can leverage your expertise in AI and machine learning to advance our research efforts and contribute to transformative technologies. Key Responsibilities: Annotate and evaluate AI-generated research content in AI, machine learning, and related domains. Design research prompts and assess AI responses for clarity, relevance, and scientific accuracy in AI and machine learning concepts. Provide detailed feedback to enhance the AI's research quality and its ability to produce valuable, high-impact insights. Collaborate with AI teams to improve the integration of research findings into practical AI applications and systems. Develop novel algorithms and models for AI-driven applications across various domains. Collaborate with cross-functional teams to integrate research outcomes into production-level systems and products. Required Qualifications: PhD in a relevant field. Strong background in machine learning, deep learning, reinforcement learning, or natural language processing. Proven track record of original research, including publications in leading AI conferences or journals. Expertise in programming languages such as Python, C++, or similar, and knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch). Ability to think critically and creatively to address complex AI challenges. Excellent problem-solving skills, strong communication skills, and the ability to collaborate effectively in a team setting.

Role Overview: We are seeking a talented Research Scientist (Freelancer) to join our dynamic team and contribute to cutting-edge AI research and development . This is a remote, flexible opportunity ideal for experts passionate about machine learning, deep learning, NLP, and related fields. Key Responsibilities: Annotate and evaluate AI-generated research content in AI, ML, and related domains. Design research prompts and assess AI responses for clarity, scientific accuracy, and relevance. Provide detailed, structured feedback to enhance the AI's ability to produce high-impact research insights. Develop novel models, algorithms, or methods for AI-driven applications. Collaborate with engineering and AI teams to integrate research findings into production-level systems. Stay current with advancements in AI and contribute thought leadership to the research community. Required Qualifications: PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. Strong foundation in ML, Deep Learning, Reinforcement Learning , or Natural Language Processing . Proven track record of publications in leading AI conferences/journals (e.g., NeurIPS, ICML, ACL, CVPR). Proficiency in Python, C++ , and experience with ML frameworks such as TensorFlow, PyTorch . Excellent analytical and problem-solving skills . Ability to work independently and collaborate effectively in cross-functional, remote teams . Why Join Us Work remotely on high-impact, cutting-edge AI research. Contribute to the advancement of ethical and applied AI . Competitive freelance pay , with flexible hours. Collaborate with top-tier researchers and developers . Be part of a mission-driven, innovation-first team shaping the future of AI.

Role Overview: We are seeking a talented Research Scientist (Freelancer) to join our dynamic team and contribute to cutting-edge AI research and development . This is a remote, flexible opportunity ideal for experts passionate about machine learning, deep learning, NLP, and related fields. Key Responsibilities: Annotate and evaluate AI-generated research content in AI, ML, and related domains. Design research prompts and assess AI responses for clarity, scientific accuracy, and relevance. Provide detailed, structured feedback to enhance the AI's ability to produce high-impact research insights. Develop novel models, algorithms, or methods for AI-driven applications. Collaborate with engineering and AI teams to integrate research findings into production-level systems. Stay current with advancements in AI and contribute thought leadership to the research community. Required Qualifications: PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. Strong foundation in ML, Deep Learning, Reinforcement Learning , or Natural Language Processing . Proven track record of publications in leading AI conferences/journals (e.g., NeurIPS, ICML, ACL, CVPR). Proficiency in Python, C++ , and experience with ML frameworks such as TensorFlow, PyTorch . Excellent analytical and problem-solving skills . Ability to work independently and collaborate effectively in cross-functional, remote teams . Why Join Us Work remotely on high-impact, cutting-edge AI research. Contribute to the advancement of ethical and applied AI . Competitive freelance pay , with flexible hours. Collaborate with top-tier researchers and developers . Be part of a mission-driven, innovation-first team shaping the future of AI.

We're seeking a talented freelance Research Scientist to join our dynamic team and contribute to cutting-edge AI research and development. This is a remote, flexible opportunity where you can leverage your expertise in AI and machine learning to advance our research efforts and contribute to transformative technologies. Key Responsibilities: Annotate and evaluate AI-generated research content in AI, machine learning, and related domains. Design research prompts and assess AI responses for clarity, relevance, and scientific accuracy in AI and machine learning concepts. Provide detailed feedback to enhance the AI's research quality and its ability to produce valuable, high-impact insights. Collaborate with AI teams to improve the integration of research findings into practical AI applications and systems. Develop novel algorithms and models for AI-driven applications across various domains. Collaborate with cross-functional teams to integrate research outcomes into production-level systems and products. Required Qualifications: PhD in a relevant field. Strong background in machine learning, deep learning, reinforcement learning, or natural language processing. Proven track record of original research, including publications in leading AI conferences or journals. Expertise in programming languages such as Python, C++, or similar, and knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch). Ability to think critically and creatively to address complex AI challenges. Excellent problem-solving skills, strong communication skills, and the ability to collaborate effectively in a team setting.

Build cutting edge models using NLP, ML and AI Techniques for a variety of problems in a variety of domains. Work with engineering team to deploy models in production & validate the models. Expert level knowledge in Natural Language Processing, Information Extraction, Scrapping and Text Mining Algorithms, Tech Stacks. Strong familiarity with deep learning methods for text analytics. Expert level knowledge in Machine Learning algorithms (XGBoost, Linear and Logistic Regression, SVM, Random Forest, Bayesian Methods, Unsupervised Learning, Reinforcement Learning) is a must. Familiarity and experience of working on time series analysis on real world datasets. Familiarity with flask, fastapi, hug. Must be an expert python programmer. Demonstrated expertise via high quality publications and/or competitions/challenges. Ability to easily work with domain experts and passion to make a difference. Minimum B.E/B.Tech in computer science/ Electrical Engineering/ EXTC with a strong base in mathematics and statistics. Strong communication skills and team player. Ability to thrive in a startup environment. Problem solving attitude is a must. Desired Candidate Profile Data Scientist to join team and completely take care of Text Analytics on Qualitative Customer Feedback and Call Center complaints conversations via Email or Chat.

Educational Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Technical skills ProgrammingPython, R, SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Technical and Professional : Technical skills ProgrammingPython, R, SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Preferred Skills: Technology-Machine learning-data science Technology-Machine Learning-Python Technology-Machine Learning-Generative AI

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 12 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. We are seeking a visionary AI Research and Innovation Principal to spearhead our efforts in Agentic 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 8-10 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 15 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

We are seeking an experienced professional in AI and machine learning with a strong focus on large language models (LLMs) for a 9-month project The role involves hands-on expertise in developing and deploying agentic systems and working with transformer architectures, fine-tuning, prompt engineering, and task adaptation Responsibilities include leveraging reinforcement learning or similar methods for goal-oriented autonomous systems, deploying models using MLOps practices, and managing large datasets in production environments The ideal candidate should excel in Python, ML libraries (Hugging Face Transformers, TensorFlow, PyTorch), data engineering principles, and cloud platforms (AWS, GCP, Azure) Strong analytical and communication skills are essential to solve complex challenges and articulate insights to stakeholders

What this job involves: About the Role We are seeking a highly skilled and innovative Senior AI/ML Software Engineer to join our cutting-edge team working on Agentic AI, AI/Machine Learning, and Large Language Models (LLMs). In this role, you will be at the forefront of developing intelligent, autonomous systems that can perceive, learn, and act in complex environments, with a strong focus on LLMs and their applications. The JLL Technologies Insights & Data team aims to bring successful technology-based products to market in a high-growth environment. The team's mission is focused on accelerating technology adoption in commercial real estate by bringing creative, innovative and technical solutions to solve large, complex problems for our clients. Shape the future of real estate for a better world by contributing to the creation of globally scalable products used by JLLs client customers the most respected brands in the world. Experience & Education Bachelor's degree in AI/ML or Computer Science or related discipline. Advanced degree preferred. 6 months+ of experience. Can design, develop, and implement advanced AI and ML algorithms, focusing on agentic AI systems that can operate autonomously and adapt to changing environments. Strong experience in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew etc. Strong experience in Python, PyTorch, integration with backend systems, experience with RESTAPI or similar frameworks for API development. Reliable, self-motivated and self-disciplined individual capable of planning and executing multiple projects simultaneously within a fast-paced environment. Capable of rapid self-learning of new software applications and programming languages. Effective written and verbal communication skills, including technical documentation. Excellent technical, analytical, time management, and organizational skills Requires excellent collaboration, presentation and communication skills. Technical Skills & Competencies Strong proficiency in Python, PyTorch and preferably PySpark. Strong proficiency in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew, TensorFlow, scikit-learn etc., good proficiency in prompt engineering. Strong proficiency in LLMs, LangChain or similar frameworks for building LLM-powered applications, advanced natural language processing techniques, graph neural networks and knowledge graphs. Strong understanding of machine learning algorithms, deep learning, and reinforcement learning techniques. Strong understanding of integration of Gen AI applications with with backend systems. Good in developing and consuming RESTful APIs. Nice to have: Good knowledge in DW/BI, Data Engineering and/or Data Science using different tools and in different domains. Nice to have: Good knowledge of GitHub, CI/CD, Agile methodologies and tools.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking a talented Research Scientist (freelancer) to join our dynamic team and contribute to cutting-edge AI research and development. This is a remote, flexible opportunity where you can leverage your expertise in AI and machine learning to advance our research efforts and contribute to transformative technologies. Key Responsibilities:. Annotate and evaluate AI-generated research content in the field of AI, machine learning, and related domains. Design research prompts and assess AI responses for clarity, relevance, and scientific accuracy in AI and machine learning concepts. Provide detailed feedback to enhance the AI's research quality and its ability to produce valuable, high-impact insights. Collaborate with AI teams to improve the integration of research findings into practical AI applications and systems. Develop novel algorithms and models for AI-driven applications across various domains. Collaborate with cross-functional teams to integrate research outcomes into production-level systems and products. Required Qualifications:. D. Strong background in machine learning, deep learning, reinforcement learning, or natural language processing. Proven track record of original research, including publications in leading AI conferences or journals. Expertise in programming languages such as Python, C++, or similar, and knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch). Ability to think critically and creatively to address complex AI challenges. Excellent problem-solving skills, strong communication skills, and the ability to collaborate effectively in a team setting. Why join us. Competitive hourly payupto ‚1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTEPay will vary by project and typically is up to ‚1500 per hour. If you work an average of 3 hours every day, you could earn up to ‚90,000 per month once you clear our screening process.