137 Reinforcement Learning Jobs

Who We Are Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. Who You Are We are seeking a highly motivated Senior Data Scientist with strong technical expertise, business acumen, and strategic problem-solving abilities . In this role, you will independently own and build forecasting models. You will work closely with stakeholders across Product, Data Engineering & Analytics, and Business Strategy to identify opportunities to resolve business problems. This is a high-impact individual contributor role. What Youll Do Work in a dynamic and innovative company to develop cutting-edge solutions. Perform advanced data analytics to influence decision makers. Leverage data from diverse sources to provide insights and build new data driven tools. Partner with engineering teams to continuously improve our data quality. Develop machine learning based applications using supervised and unsupervised models using Python that optimize and personalize customer experiences or reduce manual effort on our internal teams through automated decision making. Develop and support models to enable things such as prescriptive insights, automated decisioning, and insights. Develop experiments to understand model impact, monitor live model analytics, and manage training and retraining pipelines. Work with stakeholders to intake complicated business problems and translate them into solvable data science projects. Partner with data engineering to take your model from development to deployed infrastructure. Brainstorm future use cases and contribute to the learning culture of the data science team. Partner with and mentor other data scientists and data analysts. Partner with multiple marketing teams, manage multiple projects and help conceptualize applications that directly drive company growth and strategy. You will connect machine learning applications to business needs and help facilitate process changes based on algorithmic solution implementation. What Youll Need You have Data Science experience building and validating machine learning and forecasting models in Python for a minimum of 5 years. You love performing advanced analytics to find insights and patterns. You have experience in supervised and unsupervised model techniques such as random forest, gradient boosting, support vector machines, k-means and hierarchical clustering, causal models, mixture models and experience in advanced modeling techniques such as reinforcement learning, neural networks, and natural language modeling. You have experience in delivering natural language projects utilizing techniques such as text summarization, topic modeling, entity extraction, semantic encoding, and valence analysis You have experience working in an agile business setting. You have experience with relational cloud databases like BigQuery and Snowflake and are comfortable working with unstructured datasets such as unstructured text. WHATS IN IT FOR YOU At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. Show more Show less

Genpact is a global professional services and solutions firm dedicated to delivering outcomes that shape the future. With over 125,000 employees spread across more than 30 countries, we are characterized by our innate curiosity, entrepreneurial agility, and commitment to creating lasting value for our clients. Our purpose, which is the relentless pursuit of a world that works better for people, drives us to serve and transform leading enterprises, including the Fortune Global 500, by leveraging our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently looking for a Principal Consultant - Data Scientist, specializing in Azure Generative AI & Advanced Analytics. In this role, we are seeking a highly skilled and experienced Data Scientist with hands-on expertise in Azure Generative AI, Document Intelligence, Agentic AI, and Advanced Data Pipelines. Your responsibilities will include developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. You will play a crucial role in driving AI-driven insights and automation within our business. Responsibilities: - Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. - Design, develop, and implement Generative AI solutions leveraging AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services. - Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources. - Build and optimize data pipelines for processing and analyzing large-scale datasets efficiently. - Implement Agentic AI techniques to develop intelligent, autonomous systems that can make decisions and take actions. - Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases. - Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. - Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. - Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. - Ensure model explainability, fairness, and compliance with responsible AI principles. - Stay up to date with the latest advancements in AI, ML, and data science, and apply best practices to enhance business operations. Qualifications: Minimum Qualifications / Skills: - Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field. - Relevant experience in data science, machine learning, AI applications, generative AI prompt engineering, and creating custom models. - Strong proficiency in Python, TensorFlow, PyTorch, PySpark, Scikit-learn, and MLflow. - Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, Azure Data Factory, Data Bricks, RAG Pipeline). - Expertise in LLMs, transformer architectures, and embeddings. - Experience in building and optimizing end-to-end data pipelines. - Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques. - Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering. - Strong analytical skills with the ability to translate business requirements into AI/ML solutions. - Excellent problem-solving, critical thinking, and communication skills. - Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is a plus. Preferred Qualifications / Skills: - Experience with multi-modal AI models and computer vision applications. - Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs. - Certifications in Microsoft Azure AI, Data Science, or ML Engineering. If you are passionate about leveraging your skills and expertise to drive AI-driven insights and automation in a dynamic environment, we invite you to apply for the role of Principal Consultant - Data Scientist at Genpact. Join us in shaping the future and creating lasting value for our clients.,

You are an experienced Software Engineer specializing in Machine Learning with at least 2+ years of relevant experience. In this role, you will be responsible for designing, developing, and optimizing machine learning solutions and data systems. Your proven track record in implementing ML models, building scalable systems, and collaborating with cross-functional teams will be essential in solving complex challenges using data-driven approaches. As a Software Engineer - Machine Learning, your primary responsibilities will include designing and implementing end-to-end machine learning solutions, building and optimizing scalable data pipelines, collaborating with data scientists and product teams, monitoring and optimizing deployed models, staying updated with the latest trends in machine learning, debugging complex issues related to ML systems, and documenting processes for knowledge sharing and clarity. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related fields. Your technical skills should include a strong proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or scikit-learn, experience with data processing tools like Pandas, NumPy, and Spark, proficiency in SQL and database systems, hands-on experience with cloud platforms (AWS, GCP, Azure), familiarity with CI/CD pipelines and Git, and experience with model deployment frameworks like Flask, FastAPI, or Docker. Additionally, you should possess strong analytical skills, leadership abilities to guide junior team members, and a proactive approach to learning and collaboration. Preferred qualifications include experience with MLOps tools like MLflow, Kubeflow, or SageMaker, knowledge of big data technologies such as Hadoop, Spark, or Kafka, familiarity with advanced ML techniques like NLP, computer vision, or reinforcement learning, and experience in designing and managing streaming data workflows. Key Performance Indicators for this role include successfully delivering optimized and scalable ML solutions within deadlines, maintaining high model performance in production environments, and ensuring seamless integration of ML models with business applications. Join us in this exciting opportunity to drive innovation and make a significant impact in the field of Machine Learning.,

As an Artificial Intelligence (AI) Developer in our team, you will have the exciting opportunity to blend cutting-edge AI techniques with scalable web application architectures to design and build intelligent systems. Working closely with cross-functional teams, including data scientists, software engineers, and product managers, you will develop end-to-end solutions that enhance business operations and deliver exceptional user experiences. Your responsibilities will include full-stack development, where you will architect, design, and develop both frontend and backend components of AI-driven web applications. You will build responsive and user-friendly interfaces using modern JavaScript frameworks such as React, Angular, or Vue.js, along with robust backend services using technologies like Node.js, Django, or .NET. Furthermore, you will be responsible for developing and integrating secure RESTful and GraphQL APIs to connect AI models with cloud services and third-party systems. Leveraging cloud platforms like AWS, Azure, or GCP, you will deploy and manage scalable applications and services effectively. Collaborating with data scientists, you will integrate machine learning models, natural language processing, computer vision, and other AI techniques into web applications. You will optimize AI workflows by ensuring seamless data exchange and efficient model inference across the technology stack. In terms of DevOps and deployment, you will implement CI/CD pipelines, containerization using tools like Docker and Kubernetes, and automated testing to ensure efficient and reliable releases. Monitoring application performance and troubleshooting issues in real-time will be essential to maintain high-quality production environments. Your role will also involve close collaboration with cross-functional teams to gather requirements, deliver project updates, and ensure solutions align with business needs. Documenting development processes, API specifications, and integration practices will be crucial to support future enhancements and maintenance. To excel in this role, you must have a degree in Computer Science, Data Science, Engineering, or a related field. Additionally, you should possess a minimum of 5 years of experience with full-stack development and at least 2 years of experience with AI development. Hands-on experience in programming languages like Python, JavaScript (or TypeScript), and/or C#, along with expertise in front-end and backend frameworks, cloud platforms, containerization, and data management, will be essential. If you are detail-oriented, possess strong problem-solving, analytical, and communication skills, and have a passion for continuous learning and innovation, this role is perfect for you. Join us at the intersection of AI and full-stack web development to create robust, intelligent systems that scale in the cloud while delivering intuitive and responsive user experiences.,

As an AI / ML Engineer, you will be responsible for utilizing your expertise in the field of Artificial Intelligence and Machine Learning to develop innovative solutions. You should hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or a related field. With a minimum of 6 years of experience in AI/ML, you are expected to demonstrate proficiency in Python and various ML libraries such as scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn. In this role, you will need a strong understanding of machine learning algorithms and deep learning architectures including CNNs, RNNs, and Transformers. Hands-on experience with TensorFlow, PyTorch, or Keras is essential. You should also have expertise in data preprocessing, feature selection, exploratory data analysis (EDA), and model interpretability. Additionally, familiarity with API development and deploying models using frameworks like Flask, FastAPI, or similar tools is required. Experience with MLOps tools such as MLflow, Kubeflow, DVC, and Airflow will be beneficial. Knowledge of cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML is preferred. Proficiency in version control using Git, CI/CD processes, and containerization with Docker is essential for this role. Bonus skills that would be advantageous include familiarity with NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers), Computer Vision experience using OpenCV or YOLO/Detectron, and knowledge of Reinforcement Learning or Generative AI (GANs, LLMs). Experience with vector databases such as Pinecone or Weaviate, as well as LangChain for AI agent building, is a plus. Familiarity with data labeling platforms and annotation workflows will also be beneficial. In addition to technical skills, you should possess soft skills such as an analytical mindset, strong problem-solving abilities, effective communication, and collaboration skills. The ability to work independently in a fast-paced, agile environment is crucial. A passion for AI/ML and a proactive approach to staying updated with the latest developments in the field are highly desirable for this role.,

As a Director of AI Lab at McDonalds Corporation, you will play a crucial role in driving research and evaluation of cutting-edge AI technologies to enhance the organization's innovation and AI strategy. Your primary responsibilities will include defining and executing a comprehensive AI ecosystem strategy aligned with business goals, leading a team of AI experts, overseeing the development of advanced AI models, fostering collaboration with internal and external stakeholders, and promoting ethical AI practices. Your strategic vision will involve identifying high-impact AI use cases, establishing a roadmap for AI development, and prioritizing research initiatives. You will be expected to build and manage a high-performing team of AI professionals, create a culture of innovation and experimentation, and provide mentorship for career development. Additionally, you will lead the development of advanced AI models, conduct research to explore new techniques, and validate AI solutions through proof-of-concept projects. Collaboration and stakeholder management will be essential aspects of your role, as you partner with cross-functional teams to implement AI solutions, communicate technical concepts to non-technical stakeholders, and build relationships with external partners to enhance the AI ecosystem community. Furthermore, you will champion ethical AI practices by ensuring data privacy, fairness, and responsible development of AI models, while establishing guidelines for data governance and model transparency. To qualify for this position, you should possess a Bachelor's degree in data science, Computer Science, Business, or Analytics, with a preference for a Masters or PhD. You should have 15+ years of experience in AI/ML or related fields, with hands-on experience in building and deploying AI solutions. Proficiency in programming languages such as Python, R, or Java, as well as experience with AI/ML frameworks like TensorFlow and PyTorch, is required. Familiarity with AI techniques such as deep learning, reinforcement learning, generative AI, Agentic AI, and Edge AI is essential, along with experience in ML frameworks and large-scale AI system design. Start-up and entrepreneurship experience will be considered a plus, and the ability to effectively communicate complex AI concepts to non-technical stakeholders is crucial. This full-time role is based in Hyderabad, India, and follows a hybrid work mode. If you are a seasoned AI professional with a passion for driving innovation and leading high-performing teams, we invite you to join us at McDonalds Corporation and make a significant impact on our global AI strategy.,

Sony Research India is driving cutting-edge research and development in various locations around the globe, including laboratories in Japan, the United States, Europe, and Asia. We endeavor to create new technology, products, and services while sustaining Sony Groups diverse businesses in electronics, entertainment, and financial fields. For our research centre to blaze a trail in the latest technologies, we seek to foster the growth of a diverse pool of research and engineering talent and create a technology talent bank to drive research excellence worldwide. Sony Research India is offering outstanding career opportunities around frontline technologies such as AI and data analytics. Sony Research is seeking highly motivated and self-driven researchers with expertise in language model training for machine translation between Japanese, English, and Southeast Asian languages (Vietnamese, Indonesian, Malay, Thai, etc.). Key Responsibility: Conduct cutting-edge research and publish results in top AI conferences or journals Collaborate with an international team (using English as the main working language) Work Location: Remote Duration of the paid internship: 6 months starting July first week of 2025. 9:00 to 18:00 (Monday to Friday) fulltime. Essential Education: Ph.D. or Masters in Computer Science background or Bachelors with hands-on experience on Python with an applications in Language Processing. Must Have Skills & Abilities: Hands-on research in neural machine translation (NMT) and/or large language models (LLMs) Strong experimentation capability (accountability, agility, problem-solving skills, etc.) Passion about cutting-edge research Smooth English communication Good to Have Skills: Japanese language and/or one of Southeast Asian languages is preferred. Knowledge and prior project experience in reinforcement learning is preferred. Papers in top-tier conferences like ICML, NeurIPS, AAAI, ACL, NAACL OR EMNLP etc. Our Values: Dreams & Curiosity: Pioneer the future with dreams and curiosity. Diversity: Pursue the creation of the very best by harnessing diversity and varying viewpoints. Integrity & Sincerity: Earn the trust for Sony brand through ethical and responsible conduct. Sustainability: Fulfil our stakeholder responsibilities through disciplined business practices. Sony Research India is committed to equal opportunity in all its employment practices, policies and procedures and to ensuring that no worker or potential worker will receive less favourable treatment due to any characteristic protected under applicable local laws. Show more Show less

About Us Skit.ai is pioneering the new frontier of customer engagement. As a leading Conversational AI company, we are fundamentally transforming the collections industry with our suite of Generative AI-powered voice and message assistants. Our flagship Collection Orchestration Platformthe first of its kindharmonizes communications across all channels, while our proprietary Large Collection Model (LCM) serves as the strategic brain, optimizing every interaction for unparalleled efficiency and customer experience. Our trophy shelf, which includes the BIG AI Excellence Award 2024 and a Stevie Gold Winner for Most Innovative Company, reflects our commitment to innovation. But our true north is the tangible impact we deliver. We are a global team of pioneers headquartered in New York City, and we are looking for a visionary product leader to take ownership of our core intelligence engine from our Bangalore innovation hub. Job Title : Product Manager, Agentic AI Location : Bangalore, India (100% WFO) Shift Hours: 12:00 pm - 9:00 pm IST Your Responsibilities Platform Vision & Strategy: Define and evangelize the product vision for the Agentic AI Platform. Develop a bold, quarterly roadmap that advances our core AI capabilities, focusing on agent autonomy, reasoning, and omni-channel orchestration. Core Intelligence Engine: Own the product lifecycle for the AI models and systems that constitute our platform&aposs "brain." This includes intent detection, dialogue management, strategic decisioning, and our proprietary Large Collection Model. Scalable AI Services: Define requirements for platform services and APIs that enable internal teams to build, deploy, and iterate on new conversational applications with speed and consistency. Technical Depth & Execution: Collaborate deeply with our world-class AI research, data science, and engineering teams. Translate complex business needs into detailed technical requirements, user stories, and acceptance criteria for the platform. State-of-the-Art Integration: Act as the vanguard for new technology. Continuously research and assess the latest advancements in LLMs, reinforcement learning, and agentic AI frameworks, driving the integration of SOTA technology into the platform. Data-Driven Decisioning: Define the key performance indicators (KPIs) for our AI platform&aposs effectivenessmeasuring everything from model accuracy and inference speed to strategic outcomes. Use this data to drive the platform&aposs evolution. The Ideal Candidate Have 5+ years of product management experience, with a proven track record of shipping complex, technical, or platform-level products. Hold a bachelor&aposs degree from a Tier 1 institution in a quantitative or technical field, such as Computer Science, Engineering, Information Systems, or Mathematics. Thrive on the 0-to-1-to-10 journey; you have a passion for building innovative products from scratch and the strategic grit to scale them into robust, market-defining platforms. Naturally think about both the user-facing experience (UX) and the underlying model quality in an integrated fashion, understanding that one cannot be great without the other. Showcase exceptional leadership and a bias for action, with a history of aligning cross-functional teams around a product vision and driving execution on complex roadmaps. Why Skit.ai Work on the core AI platform that powers our entire product suite, making a foundational impact on the business. Join a rapidly scaling company on a trajectory to define an entire industry, offering unparalleled opportunities for career acceleration. Collaborate with some of the brightest minds in AI and product development in a dynamic, high-performance culture. Solve complex, fascinating problems at the cutting edge of artificial intelligence and distributed systems. Show more Show less

At Rhythm, our values serve as the cornerstone of our organization. We are deeply committed to customer success, fostering innovation, and nurturing our employees. These values shape our decisions, actions, and interactions, ensuring that we consistently create a positive impact on the world around us. Rhythm Innovations is currently looking for a skilled and enthusiastic Machine Learning (ML) Developer to conceptualize, create, and implement machine learning models that enhance our supply chain risk management and other cutting-edge solutions. As an ML Developer, you will collaborate closely with our AI Architect and diverse teams to construct intelligent systems that tackle intricate business challenges and further our goal of providing unparalleled customer satisfaction. Key Responsibilities Model Development: Devise, execute, and train machine learning models utilizing cutting-edge algorithms and frameworks like TensorFlow, PyTorch, and scikit-learn. Data Preparation: Process, refine, and convert extensive datasets for the training and assessment of ML models. Feature Engineering: Identify and engineer pertinent features to enhance model performance and precision. Algorithm Optimization: Explore and implement advanced algorithms to cater to specific use cases such as classification, regression, clustering, and anomaly detection. Integration: Coordinate with software developers to integrate ML models into operational systems and guarantee smooth functionality. Performance Evaluation: Assess model performance using suitable metrics and consistently refine for accuracy, efficacy, and scalability. MLOps: Aid in establishing and overseeing CI/CD pipelines for model deployment and monitoring in production environments. Research and Development: Stay abreast of the latest breakthroughs in Gen AI AI/ML technologies and propose inventive solutions. Collaboration: Engage closely with data engineers, product teams, and stakeholders to grasp requirements and deliver customized ML solutions. Requirements Educational Background: Bachelor's in Engineering in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience: 3 to 6 years of practical experience in developing and deploying machine learning models. Technical Skills Proficiency in Python and ML libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data manipulation tools like Pandas, NumPy, and visualization libraries such as Matplotlib or Seaborn. Familiarity with big data frameworks (Hadoop, Spark) is advantageous. Knowledge of SQL/NoSQL databases and data pipeline tools (e.g., Apache Airflow). Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) and their Gen AI AI/ML services. Thorough understanding of supervised and unsupervised learning, deep learning, and reinforcement learning. Exposure to MLOps practices and model deployment pipelines. Soft Skills Strong problem-solving and analytical abilities. Effective communication and teamwork skills. Capability to thrive in a dynamic, collaborative environment.,

As a Robotics Software Engineer, you will have the exciting opportunity to be part of an innovative team working at the intersection of robotics, AI, and cutting-edge hardware. Your main responsibility will be to lead the integration of custom actuators and sensors with Jetson GPUs, leveraging the NVIDIA Isaac platform and VLA models to build intelligent robotic systems. Your key responsibilities will include integrating and optimizing custom actuators and sensors with Jetson GPUs, utilizing VLA models to develop intelligent motion control, perception, and decision-making capabilities. You will also be tasked with building and maintaining an application layer on top of VLA workflows to enable seamless interaction between hardware and software components. Collaboration with cross-functional teams to ensure smooth integration of hardware, software, and AI models will be essential. In this role, you will conduct testing, validation, and troubleshooting of robotic systems in both simulated and real-world environments. Staying updated on advancements in robotics and AI technologies will be crucial to incorporate best practices into projects. Additionally, documenting design specifications, development processes, and project outcomes will be part of your responsibilities. To be successful in this role, you should hold a Bachelors or Masters degree in Robotics, Computer Science, Mechatronics, or a related field. Strong experience in integrating robotic hardware with GPUs or similar high-performance computing systems is required. Hands-on experience with vision-language-action models or large language models for robotics perception tasks is a must. Proficiency in programming languages such as Python or C++ for robotics applications, familiarity with the NVIDIA Isaac platform, and expertise in motion control algorithms, reinforcement learning, or imitation learning techniques are essential. Excellent problem-solving skills and the ability to work independently or as part of a multidisciplinary team are key attributes for this role. Knowledge of safety standards for robotic systems is a plus. Preferred skills include experience with synthetic motion generation pipelines or simulation-to-reality transfer techniques. This is a co-founder level position where you will play a crucial role in shaping the future of robotics by building intelligent systems that combine cutting-edge hardware with advanced AI capabilities. Join us in this exciting journey!,

As a seasoned leader in the field of Data, AI, and Automation, you will be responsible for packaging business solutions with clear ROI and effectively communicating the benefits to customers. You will play a crucial role in managing the P&L of the practice, leading a team of Architects, Technical Leads, and Engineers, and ensuring the smooth functioning of the entire team. Your ability to create and nurture a high-performing engineering team will be paramount, as you define and execute the organization's vision to be a leader in the Data, AI, and Automation space. You will set KPIs and objectives for the team that align with the organizational goals, and oversee the efficient allocation of personnel across various engagements. In this role, you will be required to design, architect, and implement cutting-edge Data & AI ML solutions and architectures, while adhering to best practices and principles. Your expertise will be utilized to lead initiatives, provide technical guidance, and drive business development in the realm of Data Science, AI, and ML. Additionally, you will be expected to stay abreast of emerging trends and best practices in Data AI and Automation, and leverage your expertise to lead and grow a superior organization of technical talent. Collaborating with peer engineering teams, you will gather technical requirements to shape Data, AI, and Automation technology roadmaps. Your responsibilities will also include enabling sales strategies with Data & AI solutions, representing the company in industry events, nurturing alliances and partnerships, and developing practice branding artifacts that showcase thought leadership. **Mandatory Qualifications:** - Possess over 15 years of experience in working on highly distributed and scalable enterprise applications - Demonstrate a deep understanding of Data warehouses, Big Data, AI ML, and Automation technologies with over 10 years of experience - Knowledge in Generative AI is desirable - Hands-on experience in developing and implementing machine learning algorithms, utilizing relevant programming languages and big data tools - Proficiency in evaluating and selecting algorithms and tools for projects - Extensive experience in advanced ML techniques such as neural networks, deep learning, and reinforcement learning - Familiarity with open-source technologies, ML libraries, and programming languages - Strong understanding of cloud platforms and their services for implementing Big Data and AI ML solutions - Appreciation of CI/CD processes and tools, guiding the team in decision-making related to CI/CD strategies - Experience with Agile development management tools and API/Microservices architecture-based systems development - Excellent communication, leadership, and interpersonal skills - Strong solutioning and presentation skills - Previous experience in Presales and Enterprise systems integration - Ability to envision and develop innovative solutions and accelerators,

BitQCode Capital is a leading algorithmic trading hedge fund specializing in high-frequency trading, quantitative strategies, and cutting-edge AI-driven market analysis. We manage a multi-million-dollar portfolio and execute millions of trades per month across global markets. Our team consists of top-tier quants, engineers, and traders, leveraging AI to develop sophisticated, automated trading models. We are looking for an AI Quantitative Researcher with a proven track record of applying Artificial Intelligence (AI) and Machine Learning (ML) in financial markets. The ideal candidate should have hands-on experience designing, training, and deploying AI-driven trading models that generate alpha across asset classes. This role requires expertise in deep learning, reinforcement learning, NLP for market sentiment analysis, and predictive modeling for market movements. You will collaborate closely with our quant traders, data scientists, and software engineers to enhance existing trading models and develop new AI-driven strategies. Key Responsibilities: - Research, design, and implement AI-powered trading algorithms to predict market movements and optimize execution. - Develop and train machine learning models using historical and real-time market data to identify profitable trading opportunities. - Utilize reinforcement learning and deep learning techniques (e.g., LSTMs, Transformers, CNNs) for predictive modeling in financial markets. - Leverage NLP and sentiment analysis to extract insights from news, social media, and alternative data sources for trading signals. - Optimize AI models for real-time decision-making and high-frequency trading strategies. - Conduct backtesting and live simulations to evaluate model performance under different market conditions. - Work with large-scale financial datasets, leveraging cloud-based AI/ML infrastructure for processing and computation. - Stay up to date with cutting-edge AI research and continuously improve trading models to adapt to evolving market conditions. - Collaborate with software engineers to integrate AI models into automated trading systems for live execution. Requirements: - Strong proficiency in AI/ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost, etc. - Experience in trading-focused AI applications: Reinforcement learning (RL), supervised/unsupervised learning, deep learning, and probabilistic modeling. - Programming expertise: Python (NumPy, Pandas, SciPy, Dask), C++ (for low-latency execution is a plus). - Financial market knowledge: Experience in trading stocks, options, futures, crypto, or FX using AI-driven models. - Big data processing & analysis: Proficiency in working with time-series data, high-frequency tick data, and alternative datasets. - Experience with backtesting frameworks: Zipline, Backtrader, QuantConnect, Freqtrade, etc. - Database and cloud computing: SQL, NoSQL, Redis, AWS, GCP, or Azure for scalable AI infrastructure. Experience & Qualifications: - Minimum 3+ years of experience in AI-driven quantitative research and trading strategy development. - Prior experience in a hedge fund, proprietary trading firm, or financial institution building AI-based models. - A strong track record of building and deploying successful AI-driven trading strategies. - Advanced degree (Masters/PhD) in Computer Science, AI, Machine Learning, Quantitative Finance, Mathematics, or related fields. Nice to Have: - Experience in market microstructure modeling and order book dynamics. - Knowledge of options pricing, derivatives trading, and volatility modeling. - Experience integrating AI models into low-latency trading systems. - Contributions to AI research, open-source projects, or publications in AI/ML conferences.,

As a Senior Machine Learning Engineer at TrueFan, you will be at the forefront of AI-driven content generation, leveraging cutting-edge generative models to build next-generation products. Your mission will be to redefine the content generation space through advanced AI technologies, including deep generative models, text-to-video, image-to-video, and lipsync generation. Your responsibilities will include designing, developing, and deploying cutting-edge models for end-to-end content generation. This will involve working on the latest advancements in deep generative modeling to create highly realistic and controllable AI-generated media. You will research and develop state-of-the-art generative models such as Diffusion Models, 3D VAEs, and GANs for AI-powered media synthesis. Additionally, you will build and optimize AI pipelines for high-fidelity image/video generation and lipsyncing using diffusion and autoencoder models. Furthermore, you will be responsible for developing advanced lipsyncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. Your role will also involve implementing and optimizing models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques. Collaboration with software engineers to deploy models efficiently on cloud-based architectures will be a key aspect of your work. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, along with 3+ years of experience working with deep generative models like Diffusion Models, 3D VAEs, GANs, and autoregressive models. Proficiency in Python and deep learning frameworks such as PyTorch is essential. Strong problem-solving abilities, a research-oriented mindset, and familiarity with generative adversarial techniques are also required. Preferred qualifications include experience with transformers and vision-language models, background in text-to-video generation and lipsync generation, expertise in cloud-based AI pipelines, and contributions to open-source projects or published research in AI-generated content. If you are passionate about AI-driven content generation and have a strong background in generative AI, this is the perfect opportunity for you to drive research and development in AI-generated content and real-time media synthesis at TrueFan.,

Othor AI is seeking a talented and motivated Mathematician Research Intern to join our decision intelligence team. This internship offers an exceptional opportunity to work at the intersection of advanced mathematics, artificial intelligence, and real-world decision-making systems. You&aposll contribute to cutting-edge research that transforms how organizations make complex decisions through mathematical modeling and AI-driven insights. Key Responsibilities Develop and analyze mathematical models for decision optimization problems Research and implement novel algorithms for multi-criteria decision analysis Collaborate with AI researchers to integrate mathematical frameworks into machine learning pipelines Conduct theoretical analysis of decision intelligence algorithms and their convergence properties Prototype mathematical solutions using Python, R, or MATLAB Contribute to research publications and technical documentation Present findings to cross-functional teams and external stakeholders Assist in developing mathematical foundations for explainable AI decision systems Required Qualifications Currently pursuing or recently completed Master&aposs or PhD in Mathematics, Applied Mathematics, Operations Research, or related field Strong background in optimization theory, linear algebra, and probability theory Experience with mathematical modeling and algorithm development Proficiency in at least one programming language (Python, R, MATLAB, or Julia preferred) Knowledge of statistical analysis and numerical methods Excellent analytical and problem-solving skills Strong written and verbal communication abilities Ability to work independently and collaboratively in a fast-paced research environment Preferred Qualifications Experience with machine learning and artificial intelligence concepts Background in game theory, decision theory, or multi-objective optimization Familiarity with deep learning frameworks (TensorFlow, PyTorch) Experience with mathematical software (Mathematica, Maple, or similar) Previous research experience in applied mathematics or related fields Publications in peer-reviewed journals or conferences Knowledge of reinforcement learning or Bayesian methods What We Offer Mentorship from leading researchers in decision intelligence and AI Opportunity to work on challenging, real-world mathematical problems Access to cutting-edge computational resources and research tools Collaborative environment with opportunities for professional growth Competitive internship compensation Potential for publication opportunities and conference presentations Flexible hybrid work arrangements Networking opportunities within the AI and decision science community Duration & Commitment 3-6 month internship with potential for extension Full-time commitment (40 hours/week) preferred Part-time arrangements considered for exceptional candidates Start date flexible based on candidate availability About Othor AI Othor AI is at the forefront of decision intelligence, developing AI systems that help organizations make better decisions through advanced mathematical modeling and machine learning. Our multidisciplinary team combines expertise in mathematics, computer science, and domain-specific knowledge to solve complex real-world problems. Show more Show less

As a Lead Data Scientist/AI Product Owner at a reputed IT MNC in Gurgaon, your primary responsibility will be AI Model Development & Deployment, focusing on Computer Vision & Deep Learning. You will be leading the design and implementation of computer vision models for various tasks such as object detection, tracking, segmentation, and action recognition. Your expertise will include architectures like YOLO (v4, v5, v8), Vision Transformers, Mask R-CNN, Faster R-CNN, LSTMs, and Spatio-Temporal Models for image and video analysis. Additionally, you will contextualize the model for challenging situations such as poor detection through specific training on different scenarios. Another key aspect of your role will involve Reinforcement Learning & Model Explainability, where you will develop and integrate reinforcement learning models to optimize decision-making in dynamic AI environments. You will work with techniques such as Deep Q-Networks (DQN), Proximal Policy Optimization (PPO), A3C, SAC, and other RL methods. Furthermore, you will lead the development of a Scalable Data Model for AI Model Training Pipelines, overseeing the end-to-end data preparation process, including data gathering, annotation, and quality review before training. You will focus on enhancing the quality and volume of training data to continually improve model performance and have the ability to think through the data model for future enhancements. In terms of technical skills, you are expected to have a proven track record of leading and delivering AI products, hands-on expertise with advanced AI models, experience in managing and mentoring a small team of data scientists, proficiency in AI/ML frameworks like TensorFlow, PyTorch, and Keras, effective collaboration with cross-functional teams, and strong problem-solving skills in image and video processing. Nice-to-have skills include Experimentation, Iterative Improvement and Testing, Collaboration with Engineering and Product Teams, and Team Leadership. To qualify for this role, you should have at least 10 years of hands-on experience in AI with a solid background in object detection, image and video processing, and computer vision.,

Data Science Consultants design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to help clients make better fact-based decisions. What Youll Do Execute and lead application of numerical optimization techniques on large, unstructured data sets to solve problems Collaborate with engineering teams to deploy optimization based solutions on datasets of large dimensionality to create practical solutions that achieve desired results in a computationally efficient and statistically effective manner; Play a key role in development of data science capabilities for solving problems and offerings that create scale and advance our analytic capabilities Lead conversations with clients and other ZS stakeholders to effectively integrate and communicate analysis findings; Evaluate emerging datasets and technologies and help define our analytic platform; Own development of select assets/accelerators that create scale; Contribute to thought leadership through research and publications; Guide and manage project teams of Associates/Associate Consultants. What Youll Bring Bachelors degree in computer science, Information Technology, or a related field (or equivalent work experience). 6-9 years of relevant experience Strong theoretical and applied understanding of linear programming, convex optimization, non- linear programming, and other optimization topics Experience with other data science concepts and algorithms (e.g. supervised / unsupervised learning, reinforcement learning, simulation modeling, recommender systems, etc.); Relevant programming background (e.g. Python/ R); Understanding of relevant tools/platforms (e.g. ML / data engineering tools and platforms); Team management and skill development experience; Agile project planning and project management experience preferred; Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity. Location - Bengaluru,Gurugram,Noida,Pune.

Advanced Data Science Consultant - (Optimization / Supply Chain and Manufacturing) Data Science Consultants design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to help clients make better fact-based decisions. What You'll Do: Execute and lead application of numerical optimization techniques on large, unstructured data sets to solve problems in the area of Supply Chain and Manufacturing. Collaborate with engineering teams to deploy optimization based solutions on datasets of large dimensionality to create practical solutions that achieve desired results in a computationally efficient and statistically effective manner; Play a key role in development of data science capabilities for solving problems in the pharmaceutical manufacturing, supply chain and operations management space and offerings that create scale and advance our analytic capabilities Lead conversations with clients and other ZS stakeholders to effectively integrate and communicate analysis findings; Evaluate emerging datasets and technologies and help define our analytic platform; Own development of select assets/accelerators that create scale; Contribute to thought leadership through research and publications; Guide and manage project teams of Associates/Associate Consultants. What You'll Bring: MS/PhD degree in Computer Science, Statistics, Operations Research, or related fields, with a focus on Optimization, plus 2-4 years of relevant post-PhD work experience in implementing solutions in Manufacturing, Supply Chain, Operations Management areas 6 - 9 years of relevant experience Strong theoretical and applied understanding of linear programming, convex optimization, nonlinear programming, and other optimization topics Experience with commercial solvers such as CPLEX, Gurobi, etc. preferred Experience with other data science concepts and algorithms (e.g. supervised / unsupervised learning, reinforcement learning, simulation modeling, recommender systems, etc.); Relevant programming background (e.g. Python/ R); Understanding of relevant tools/platforms (e.g. ML / data engineering tools and platforms); Team management and skill development experience; Relevant domain knowledge preferred; (healthcare life sciences / transportation/ hi-tech / insurance / retail); Agile project planning and project management experience preferred; Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity.

Genpact is a global professional services and solutions firm committed to delivering outcomes that help shape the future. With a team of over 125,000 individuals across 30+ countries, we are driven by curiosity, entrepreneurial agility, and a desire to create lasting value for our clients. Our purpose, the relentless pursuit of a world that works better for people, empowers us to serve and transform leading enterprises, including the Fortune Global 500, utilizing our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently looking for a Principal Consultant - Data Scientist specializing in Azure Generative AI & Advanced Analytics. As a highly skilled and experienced professional, you will be responsible for developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. Your role will be crucial in driving AI-driven insights and automation within our business. Responsibilities: - Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets for actionable insights and data-driven decision-making. - Design, develop, and implement Generative AI solutions leveraging various platforms including AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services. - Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources. - Build and optimize data pipelines to efficiently process and analyze large-scale datasets. - Implement Agentic AI techniques to develop intelligent, autonomous systems capable of making decisions and taking actions. - Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases. - Continuously monitor and assess the performance of AI models and data-driven solutions, refining and optimizing them as necessary. - Stay updated with the latest industry trends, tools, and technologies in data science, AI, and generative models to enhance existing solutions and develop new ones. - Mentor and guide junior team members to aid in their professional growth and skill development. - Ensure model explainability, fairness, and compliance with responsible AI principles. - Keep abreast of advancements in AI, ML, and data science and apply best practices to enhance business operations. Minimum Qualifications / Skills: - Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field. - Experience in data science, machine learning, AI applications, generative AI prompt engineering, and creating custom models. - Proficiency in Python, TensorFlow, PyTorch, PySpark, Scikit-learn, and MLflow. - Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, Azure Data Factory, Data Bricks, RAG Pipeline). - Expertise in LLMs, transformer architectures, and embeddings. - Experience in building and optimizing end-to-end data pipelines. - Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques. - Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering. - Strong analytical skills with the ability to translate business requirements into AI/ML solutions. - Excellent problem-solving, critical thinking, and communication skills. - Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is advantageous. Preferred Qualifications / Skills: - Experience with multi-modal AI models and computer vision applications. - Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs. - Certifications in Microsoft Azure AI, Data Science, or ML Engineering. Job Title: Principal Consultant Location: India-Noida Schedule: Full-time Education Level: Bachelor's / Graduation / Equivalent Job Posting: Apr 11, 2025, 9:36:00 AM Unposting Date: May 11, 2025, 1:29:00 PM Master Skills List: Digital Job Category: Full Time,

As an LLM Engineer, your primary responsibility will be to develop, fine-tune, and deploy large-scale natural language models such as GPT, BERT, and similar transformer-based architectures. You will collaborate closely with data scientists, AI researchers, and software engineers to create cutting-edge language models that drive innovative solutions across various applications like chatbots, summarization, translation, and more. Your key responsibilities will include building and fine-tuning large language models to address specific business challenges, ensuring they meet performance standards. You will also be involved in curating, preprocessing, and augmenting datasets to enhance model training and generalization. Furthermore, deploying and managing LLMs in production environments using tools like Docker, Kubernetes, or cloud platforms will be part of your role. Post-deployment, you will continuously monitor model performance, striving to enhance accuracy, diminish bias, and optimize latency. It is imperative to stay updated with the latest NLP and transformer advancements, implementing state-of-the-art techniques to elevate model efficiency. Collaboration is crucial as you will work closely with cross-functional teams, including data engineers, front-end developers, and product managers, to deliver robust AI solutions. Developing mechanisms to make model outputs comprehensible to non-technical stakeholders is essential. You will also optimize large-scale models for efficient inference and scalability across distributed systems. To excel in this role, you are required to have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proficiency in Python, familiarity with libraries like TensorFlow, PyTorch, Hugging Face Transformers, and other NLP frameworks is essential. Hands-on experience with large-scale language models, NLP expertise, and proficiency in cloud environments are crucial. Additionally, strong communication skills, teamwork, and the ability to work in collaborative, fast-paced environments are vital for success. Preferred skills include knowledge of transformer-based models, LLM scaling strategies, contributions to the NLP research community, familiarity with prompt engineering, and an understanding of reinforcement learning techniques for enhancing LLM interaction quality.,

Antt AI is pioneering the era of Physical AI by building intelligent, autonomous agents for the real world. We design and deploy semi-humanoid robots that automate tasks across hospitality, retail, and last-mile delivery, enhancing customer experience and operational efficiency. Our robots use advanced computer vision, real-time decision-making, and robust hardware integration to navigate and interact in complex environments. Powered by our proprietary AI agent stack, Antt AI is bridging the gap between digital intelligence and physical action. We're looking for a passionate and hands-on Robotics Intern to join our AI/ML team. As a Robotics Intern at Antt AI, you will work on training and fine-tuning AI models, and assist with robotics hardware and simulators for data collection and validation. This is a 6-month paid internship based in Bengaluru, with the possibility of a full-time role based on performance. Qualifications: - Strong python programming skills. - Experience with one or more of the following: Vision-Language-Action (VLA) models, Reinforcement Learning, or robot simulation environments such as Isaac Sim. - Prior hands-on experience with robotics platforms (college projects, personal builds, or competitions). If you're excited about robotics and AI, and have hands-on experience to show, we'd love to hear from you. Please share details of your past projects or contributions, along with your resume.,

Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, you're part of a diverse team of scientists, engineers, and machine learning experts collaborating to advance the state of the art in artificial intelligence. The technologies developed are aimed at benefiting the public and driving scientific discovery, while prioritizing safety and ethics. As a highly motivated and innovative Research Scientist in Bengaluru, you will focus on advancing multiagent systems for social impact. Your role involves conducting cutting-edge research on multiagent systems, particularly agents based on large language models (LLMs), with a specific emphasis on accelerating social impact. This position provides a unique opportunity to engage in fundamental AI research, collaborate with a world-class team, and witness the translation of your work into real-world applications. If you're passionate about shaping the future of social impact through AI and eager to make a significant difference in the evolving landscape of multiagent systems and AI agents, we encourage you to apply. You will be responsible for conducting cutting-edge research by developing novel algorithms, models, and techniques for multiagent systems. This includes pushing the boundaries of AI research in areas like multiagent reinforcement learning, bandit algorithms, and diffusion models. Your research will play a direct role in enhancing Google's multiagent capabilities, with a special focus on social impact. Additionally, you will design, implement, and evaluate the use of AI agents for social impact, exploring techniques to enhance model performance and robustness in real-world scenarios. Collaboration is key in this role, as you will work closely with other research scientists, engineers, and product teams at Google DeepMind. Your research findings will be shared through publications in top-tier conferences and journals, contributing to both the academic community and the development of impactful products. Moreover, you will witness the real-world impact of your research across various domains, potentially influencing future Google products and services. To stay at the forefront of AI research, you will continuously explore emerging trends and participate in international conferences and workshops to share your work and learn from others in the field. As a passionate and talented researcher with a strong theoretical foundation in AI, you are eager to conduct impactful research and collaborate with a team to address ambitious challenges. Your goal is to see your research translate into real-world impact that enhances lives. A Ph.D. in Computer Science, Artificial Intelligence, or related fields is required, along with a strong publication record in top-tier machine learning conferences or journals. You should have a solid understanding of multiagent systems research, including topics such as multiagent reinforcement learning, game theory, social choice, and bandit algorithms. Experience with ML frameworks such as JAX, TensorFlow, or PyTorch is essential. Additionally, familiarity with large language models, AI agents, large-scale model training, and deployment, as well as strong programming skills in Python or similar languages, will be advantageous. Excellent communication and collaboration skills are also necessary for this role.,

As a Senior Machine Learning Engineer, you will have the exciting opportunity to be involved in designing, developing, and deploying cutting-edge models for end-to-end content generation. This includes working on AI-driven image/video generation, lip syncing, and multimodal AI systems. You will be at the forefront of the latest advancements in deep generative modeling, striving to create highly realistic and controllable AI-generated media. Your responsibilities will encompass researching and developing state-of-the-art generative models like Diffusion Models, 3D VAEs, and GANs for AI-powered media synthesis. You will focus on building and optimizing AI pipelines for high-fidelity image/video generation and lip syncing. Additionally, you will be tasked with developing advanced lip-syncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. Implementing and optimizing models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques will also be part of your role. Collaboration with software engineers to deploy models efficiently on cloud-based architectures (AWS, GCP, or Azure) will be crucial. Staying updated with the latest trends in deep generative models, diffusion models, and transformer-based vision systems to enhance AI-generated content quality will be an essential aspect of the role. Furthermore, designing and conducting experiments to evaluate model performance, improve fidelity, realism, and computational efficiency, as well as refining model architectures will be expected. Active participation in code reviews, improving model efficiency, and documenting research findings to enhance team knowledge-sharing and product development will also be part of your responsibilities. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. You should have a minimum of 3 years of experience working with deep generative models, such as Diffusion Models, 3D VAEs, GANs, and autoregressive models. Proficiency in Python and deep learning frameworks like PyTorch is essential. Expertise in multi-modal AI, text-to-image, and image-to-video generation, as well as audio to lip sync, is required. A strong understanding of machine learning principles and statistical methods is necessary. It would be beneficial to have experience in real-time inference optimization, cloud deployment, and distributed training. Strong problem-solving abilities and a research-oriented mindset to stay updated with the latest AI advancements are qualities that would be valued. Familiarity with generative adversarial techniques, reinforcement learning for generative models, and large-scale AI model training will also be beneficial. Preferred qualifications include experience with transformers and vision-language models (e.g., CLIP, BLIP, GPT-4V), a background in text-to-video generation, lip-sync generation, and real-time synthetic media applications, as well as experience in cloud-based AI pipelines (AWS, Google Cloud, or Azure) and model compression techniques (quantization, pruning, distillation). Contributions to open-source projects or published research in AI-generated content, speech synthesis, or video synthesis would be advantageous.,

The Gen AI Architect will play a key role in designing, implementing, and overseeing the development of advanced generative AI models, platforms, and systems. You will work closely with data scientists, engineers, and business stakeholders to design AI solutions that drive value and innovation. Lead the design and development of scalable, high-performance generative AI systems. Architect end-to-end AI solutions, from data collection and preprocessing to model development and deployment. Ensure seamless integration of AI systems into existing platforms, enhancing business functionality. Lead the design and development of generative AI models, including but not limited to transformers and Large Language Models (LLMs). Collaborate with research teams to keep the organization at the forefront of AI advancements. Stay up-to-date with the latest advancements in generative AI research and technology. Drive innovation in AI strategies, recommending tools, techniques, and approaches to improve performance and capabilities continually. Contribute to the development of AI strategies that align with organizational goals and objectives. Required Skills & Experience: - Proven experience in AI/ML model development, with a focus on generative models such as LLM, transformers. - Strong experience in MLOps. - Strong experience designing and deploying scalable AI architectures in the cloud environments (AWS/Azure/GCP). - Experience with AI frameworks and libraries such as Tensor Flow PyTorch. - Experience with data engineering and pre-processing for generative models. - Deep understanding of deep learning, reinforcement learning, unsupervised learning, and Natural Language Processing (NLP). - Proficiency in Python and other relevant programming languages. - Strong knowledge of machine learning pipelines, model versioning, and CI/CD for AI/ML.,

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

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