41 Reinforcement Learning Jobs

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.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% Computer Vision Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Computer Vision (CV) Engineers with expertise in image/video processing, object detection, and generative AI. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2 12 months, or freelancing. Be a part of an Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Highly likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Develop and optimize computer vision models for tasks like object detection, image segmentation, and multi-object tracking. Lead research on novel techniques using deep learning frameworks (TensorFlow, PyTorch, JAX). Build efficient computer vision pipelines and optimize models for real-time performance. Deploy models using microservices (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Lead MLOps practices, including CI/CD pipelines, model versioning, and training optimizations. Required Skills: . Expert in Python, OpenCV, NumPy, and deep learning architectures (e.g., ViTs, YOLO, Mask R-CNN). Strong knowledge in computer vision fundamentals, including feature extraction and multi-view geometry with experience in deploying and optimizing models with TensorRT, Open VINO, and cloud/edge solutions. Proficient with MLOps tools (ML flow, DVC), CI/CD, and distributed training frameworks. Experience in 3D vision, AR/VR, or LiDAR processing is a plus. Nice to Have:. Experience with multi-camera vision systems, LiDAR, sensor fusion, and reinforcement learning for vision tasks. Exposure to generative AI models (e.g., Stable Diffusion, GANs) and large-scale image processing (Apache Spark, Dask). Research publications or patents in computer vision and deep learning. What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% Computer Vision Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Computer Vision (CV) Engineers with expertise in image/video processing, object detection, and generative AI. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2 12 months, or freelancing. Be a part of an Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Highly likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Develop and optimize computer vision models for tasks like object detection, image segmentation, and multi-object tracking. Lead research on novel techniques using deep learning frameworks (TensorFlow, PyTorch, JAX). Build efficient computer vision pipelines and optimize models for real-time performance. Deploy models using microservices (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Lead MLOps practices, including CI/CD pipelines, model versioning, and training optimizations. Required Skills: . Expert in Python, OpenCV, NumPy, and deep learning architectures (e.g., ViTs, YOLO, Mask R-CNN). Strong knowledge in computer vision fundamentals, including feature extraction and multi-view geometry with experience in deploying and optimizing models with TensorRT, Open VINO, and cloud/edge solutions. Proficient with MLOps tools (ML flow, DVC), CI/CD, and distributed training frameworks. Experience in 3D vision, AR/VR, or LiDAR processing is a plus. Nice to Have:. Experience with multi-camera vision systems, LiDAR, sensor fusion, and reinforcement learning for vision tasks. Exposure to generative AI models (e.g., Stable Diffusion, GANs) and large-scale image processing (Apache Spark, Dask). Research publications or patents in computer vision and deep learning. What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

:. 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.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% Computer Vision Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Computer Vision (CV) Engineers with expertise in image/video processing, object detection, and generative AI. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2 12 months, or freelancing. Be a part of an Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Highly likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Develop and optimize computer vision models for tasks like object detection, image segmentation, and multi-object tracking. Lead research on novel techniques using deep learning frameworks (TensorFlow, PyTorch, JAX). Build efficient computer vision pipelines and optimize models for real-time performance. Deploy models using microservices (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Lead MLOps practices, including CI/CD pipelines, model versioning, and training optimizations. Required Skills: . Expert in Python, OpenCV, NumPy, and deep learning architectures (e.g., ViTs, YOLO, Mask R-CNN). Strong knowledge in computer vision fundamentals, including feature extraction and multi-view geometry with experience in deploying and optimizing models with TensorRT, Open VINO, and cloud/edge solutions. Proficient with MLOps tools (ML flow, DVC), CI/CD, and distributed training frameworks. Experience in 3D vision, AR/VR, or LiDAR processing is a plus. Nice to Have:. Experience with multi-camera vision systems, LiDAR, sensor fusion, and reinforcement learning for vision tasks. Exposure to generative AI models (e.g., Stable Diffusion, GANs) and large-scale image processing (Apache Spark, Dask). Research publications or patents in computer vision and deep learning. What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

:. 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.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% Computer Vision Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Computer Vision (CV) Engineers with expertise in image/video processing, object detection, and generative AI. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2 12 months, or freelancing. Be a part of an Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Highly likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Develop and optimize computer vision models for tasks like object detection, image segmentation, and multi-object tracking. Lead research on novel techniques using deep learning frameworks (TensorFlow, PyTorch, JAX). Build efficient computer vision pipelines and optimize models for real-time performance. Deploy models using microservices (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Lead MLOps practices, including CI/CD pipelines, model versioning, and training optimizations. Required Skills: . Expert in Python, OpenCV, NumPy, and deep learning architectures (e.g., ViTs, YOLO, Mask R-CNN). Strong knowledge in computer vision fundamentals, including feature extraction and multi-view geometry with experience in deploying and optimizing models with TensorRT, Open VINO, and cloud/edge solutions. Proficient with MLOps tools (ML flow, DVC), CI/CD, and distributed training frameworks. Experience in 3D vision, AR/VR, or LiDAR processing is a plus. Nice to Have:. Experience with multi-camera vision systems, LiDAR, sensor fusion, and reinforcement learning for vision tasks. Exposure to generative AI models (e.g., Stable Diffusion, GANs) and large-scale image processing (Apache Spark, Dask). Research publications or patents in computer vision and deep learning. What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

:. 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.

Responsibilities - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Required Skills - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Skills - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

About the Role #JLLTechAmbitions 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.

Help empower our global customers to connect to culture through their passions. Why you'll love this role StockX is an established global startup headquartered in the USA with development offices in Bangalore India. In the Search & Recommendation team, we work together to productionalize custom machine-learning models that can drive product vision and customer impact at scale. We are looking for MLE who are product driven, and are passionate about making ML innovations in areas such as Ranking, Optimization, Natural Language Processing, Information Retrieval, Graph Learning, Reinforcement Learning to help improve the StockX buyer/seller experience! What you'll do Develop embeddings to collect salient signals of our customers, product, and user interactions. Extract real-time signals and multi-modality data (i.e, content and image) from our 5M+ product catalog images and 1M+ listings. Understand semantic content, aesthetic style, materials for retrieval, ranking and optimization. Build a real-time, in-session personalization recommendation system. Implement and compare supervised learning models (i.e, LR, GBDT, and DNNs) or ensembles of models, to improve metrics, often with multiple contending objectives (i.e, relevance, degree of personalization, average value of orders, repeated frequencies/purchases). Develop models with custom architecture or objective functions that target StockX-specific problems, such as recommendation system, personalized search, revenue optimization, seller fairness, seasonality, etc. Develop brand-new learning frameworks for query suggestions to understand buyer experience. Apply the latest advances in deep learning and machine learning to improve buyer and seller experiences on StockX. Prototype, optimize, and productionize large-scale ML models that help deliver key results in search experience. Conduct A/B experiments to validate ML models and pipelines. Work closely with product managers, Data scientists/engineers, full-stack engineers, and designers on product teams to deliver content to tens of millions of users. About you Experience with object-oriented or functional software development Experience working with AWS or other cloud providers Experience with big data platforms like Spark or Databricks Experience with machine learning libraries such as TensorFlow, PyTorch, or MXNet You have dealt with data exploration, analysis, and feature engineering You have relentlessly high standards for the products you deliver Work effectively in an agile development process You have a postgraduate degree in Computer Science or related engineering fields plus 3+ machine learning experience, or 5+ years of practical machine learning experience. Experience with Kubernetes and Docker for productionalizing models You have experience in building machine learning systems at scale. You have experience in using AWS Cloud Platform, Databricks and/or OpenSearch. You have experience in building production search, recommendations, advertising, or general e-commerce systems. About StockX StockX is proud to be a Detroit-based technology leader focused on the large and growing online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. StockX's powerful platform connects buyers and sellers of high-demand consumer goods from around the world using dynamic pricing mechanics. This approach affords access and market visibility powered by real-time data that empowers buyers and sellers to determine and transact based on market value. The StockX platform features hundreds of brands across verticals including Jordan Brand, adidas, Nike, Supreme, BAPE, Off-White, Louis Vuitton, Gucci collectibles from brands including LEGO, KAWS, Bearbrick, and Pop Mart and electronics from industry-leading manufacturers Sony, Microsoft, Meta, and Apple. Launched in 2016, StockX employs 1,000 people across offices and verification centers around the world. Learn more at www.stockx.com. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. However, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position. StockX reserves the right to amend this job description at any time. StockX may utilize AI to rank job applicant submissions against the position requirements to assist in determining candidate alignment.

We are looking for "Data Scientist" with Minimum 4 years experience Contact- Yashra (95001 81847) Required Candidate profile Data Science, Agentic AI, LLM & RAC advanced machine learning (ML) and Agentic AI frameworks. generative AI, reinforcement learning, and multi-agent systems.

We are looking for a Junior Machine Learning Engineer with 4 to 6 years of experience to join our AI/ML team. The candidate will wok on reinforcement learning agents, end-to-end ML workflows, and MLOps practices to build, deploy, and monitor scalable AI solutions. Key Responsibilities: Develop and deploy ML models and RL agents (e.g., Q-learning, policy gradients). Preprocess data, perform feature engineering, and tune models. Operationalize models using Docker, CI/CD (GitHub Actions, Jenkins). Monitor model performance and system health in production. Collaborate with data scientists, engineers, and DevOps teams. Stay updated on trends in RL, AI, and MLOps. Required Skills: Bachelors/Masters in Computer Science or related field. Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn). Hands-on experience with RL frameworks (OpenAI Gym, Stable Baselines). Familiarity with Docker, Git, CI/CD tools, and REST APIs. Understanding of ML lifecycle and cloud deployment (AWS/GCP/Azure). Preferred Skills: Experience with SageMaker, Vertex AI, or similar tools. Knowledge of deep learning, NLP, or microservices. Strong analytical and collaborative skills.

ob Title: AI Engineer. ey Responsibilities:. Architect, develop, and deploy advanced AI solutions, encompassing Machine Learning, Generative AI, NLP, and LLMs.. Remain abreast of the latest AI advancements, actively researching and integrating emerging trends and technologies such as LLMOps, Large Model Deployments, LLM Security, Vector Databases, etc.. Streamline data modeling processes to automate tasks, enhance data preparation, and facilitate data exploration to optimize business outcomes.. Collaborate closely with cross-functional teams, including business units, accounts teams, researchers, and engineers, to translate business requirements into actionable AI solutions.. Exhibit expertise in responsible AI practices, ensuring fairness, transparency, and interpretability in all models.. Identify and mitigate potential risks related to AI and LLM development and deployment, emphasizing data trust and security.. Contribute to the professional development of the AI team by mentoring engineers, fostering knowledge sharing, and promoting a culture of continuous learning.. This role is based in a lab environment and involves hands-on, fast-paced, and high-intensity work. The ideal candidate should be proactive, adaptable, and comfortable working in a dynamic and demanding setting.. ualifications:. Minimum of 2 years of hands-on experience in developing and deploying AI solutions, with a proven track record of success.. Master’s degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience).. Proficiency in Machine Learning, NLP, Generative AI, and LLMs, including their architectures, algorithms, and training methodologies.. Understanding of LLMOps principles, Prompt Engineering, In-Context Training, LangChain, and Reinforcement Learning.. Familiarity with best practices for large model deployment, monitoring, management, and scalability.. Experience with Azure Cloud services.. Strong communication, collaboration, and problem-solving abilities.. Commitment to ethical AI practices and security standards.. Proficiency in deep learning frameworks and languages such as Azure ML platform, Python, PyTorch, etc.. Hands-on experience with ML frameworks, libraries, and third-party ML models.. Expertise in building solutions using AI/ML/DL open-source tools and libraries.. Strong analytical and problem-solving skills.. Ability to write optimized and clear code, and address complex technical challenges effectively.. Self-motivated and fast learner, with a proactive approach to learning new technologies.. Proficiency in data analysis and troubleshooting skills.. Experience in building AI/ML/DL solutions for NLP/text applications, with familiarity in reinforcement learning being advantageous.. Minimum of 2 years of experience on AI/ML/DL projects, with specialization or certification in Artificial Intelligence being a plus.. Good knowledge of Azure AI/Cognitive Services tools.. Show more Show less

About NCR Atleos Overview Data is at the heart of our global financial network. In fact, the ability to consume, store, analyze and gain insight from data has become a key component of our competitive advantage. Our goal is to build and maintain a leading-edge data platform that provides highly available , consistent data of the highest quality for all users of the platform, including our customers, operations teams and data scientists. We focus on evolving our platform to deliver exponential scale to NCR Atleos , powering our future growth. Data & AI Engineers at NCR Atleos experience working at one of the largest and most recognized financial companies in the world, while being part of a software development team responsible for next generation technologies and solutions. Our engineers design and build large scale data storage, computation and distribution systems. They partner with data and AI experts to deliver high quality AI solutions and derived data to our consumers. We are looking for Data & AI Engineers who like to innovate and seek complex problems. We recognize that strength comes from diversity and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual. Engineers looking to work in the areas of orchestration, data modelling , data pipelines, APIs, storage, distribution, distributed computation, consumption and infrastructure are ideal candidates. Responsibilities As a Data Engineer, you will be joining a Data & AI team transforming our global financial network and improving the quality of our products and services we provide to our customers. and you will be responsible for designing, implementing, and maintaining data pipelines and systems to support the organizations data needs. Your role will involve collaborating with data scientists, analysts, and other stakeholders to ensure data accuracy, reliability, and accessibility. Key Responsibilities Data Pipeline DevelopmentDesign, build, and maintain scalable and efficient data pipelines to collect, process, and store structured and unstructured data from various sources. Data IntegrationIntegrate data from multiple sources such as databases, APIs, flat files, and streaming platforms into centralized data repositories. Data ModelingDevelop and optimize data models and schemas to support analytical and operational requirements. Implement data transformation and aggregation processes as needed. Data Quality AssuranceImplement data validation and quality assurance processes to ensure the accuracy, completeness, and consistency of data throughout its lifecycle. Performance Optimization Monitor and optimize data processing and storage systems for performance, reliability, and cost-effectiveness. Identify and resolve bottlenecks and inefficiencies in data pipelines and leverage Automation and AI to improve overall Operations. Infrastructure ManagementManage and configure cloud-based or on-premises infrastructure components such as databases, data warehouses, compute clusters, and data processing frameworks. CollaborationCollaborate with cross-functional teams including data scientists, analysts, software engineers, and business stakeholders to understand data requirements and deliver solutions that meet business objectives . Documentation and Best PracticesDocument data pipelines, systems architecture, and best practices for data engineering. Share knowledge and provide guidance to colleagues on data engineering principles and techniques. Continuous ImprovementStay updated with the latest technologies, tools, and trends in data engineering and recommend improvements to existing processes and systems. Qualifications and Skills: Bachelors degree or higher in Computer Science, Engineering, or a related field. Proven experience in data engineering or related roles, with a strong understanding of data processing concepts and technologies. Mastery of programming languages such as Python, Java, or Scala. Knowledge of database systems such as SQL, NoSQL, and data warehousing solutions. Knowledge of stream processing technologies such as Kafka or Apache Beam. Experience with distributed computing frameworks such as Apache Spark, Hadoop, or Apache Flink . Experience deploying pipelines in cloud platforms such as AWS, Azure, or Google Cloud Platform. Experience in implementing enterprise systems in production setting for AI, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus . Have full stack experience to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions with focus on privacy, security, fairness. Have good engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats for as-is consumption and display on the dashboards/portals. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience with containerization and orchestration tools such as Docker and Kubernetes. Familiarity with data visualization tools such as Tableau or Power BI. EEO Statement NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law. Statement to Third Party Agencies To ALL recruitment agenciesNCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.

About the Team: ZF COE Team is effectively communicate complex technical concepts related to AI, ML, DL, and RL to both technical and non-technical audiences. This might involve presenting research findings at conferences or writing papers for academic journals. What you can look forward to as AI Research Scientist (m/f/d): Conduct cutting-edge research to identify and develop novel AI/ML methodologies, including Deep Learning (DL) and Reinforcement Learning (RL). Design and conduct experiments to test hypotheses, validate new approaches, and compare the effectiveness of different ML algorithms. Analyze data to uncover hidden patterns and relationships that can inform the development of new AI techniques. Stay at the forefront of the field by keeping abreast of the latest advancements in algorithms, tools, and theoretical frameworks. This might involve researching areas like interpretability of machine learning models or efficient training methods for deep neural networks. Prototype and explore the potential of advanced machine learning models, including deep learning architectures like convolutional neural networks (CNNs) or recurrent neural networks (RNNs). Contribute to the development of fundamental algorithms and frameworks that can be applied to various machine learning problems. This may involve improving existing algorithms or exploring entirely new approaches. Focus on theoretical aspects of model design, such as improving model efficiency, reducing bias, or achieving explainability in complex models. Document research methodologies, experimental procedures, and theoretical contributions for future reference and knowledge sharing within the research community. Contribute to the development of the research team's long-term research goals and strategies. Your profile as AI Research Scientist (m/f/d): Master's degree in Mathematics, Computer Science or other related technical fields. Phd is good to have. 8+ years of experience in research development, with a strong understanding of data structures and algorithms. 5+ years of experience building and deploying machine learning models in production. Proven experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. Experience with distributed computing systems and large-scale data processing & Excellent communication and collaboration skills. Contribution to invention disclosure process & A strong publication record in top machine learning conferences or journals.

Role Summary As a Data Science Lead at Worley, you will collaborate with an established team to deliver high-impact data science and AI/ML projects for clients, while continuing to expand your own technical expertise. The role focuses particularly on working with unstructured data and involves designing scalable AI/ML solutions, staying on the leading edge of technology, and driving innovation across both internal and external stakeholders. Key Responsibilities Platform & Tool Development: Conceptualize, build, and manage AI/ML platforms with a focus on unstructured data. Evaluate and select the best AI/ML tools and frameworks in the industry. Leverage existing frameworks, standards, and patterns to create scalable architectural foundations. Solution Delivery & Ownership: Lead the development of cognitive solutions for both internal stakeholders and external customers. Conduct research in areas like Explainable AI, image segmentation, 3D object detection, and statistical methods. Ensure delivery of scalable, enterprise-grade applications and services. Strategic Insight & Innovation: Analyse global market trends (economic, social, cultural, technological) to identify AI/ML opportunities. Shape value propositions and recommendations using a global perspective. Evaluate algorithms, models, and emerging technologies to optimize organizational investment. Collaboration & Leadership: Guide and support data scientists and engineers in project execution involving large and complex datasets. Establish and oversee AI/ML lifecycle processes and best practices. Ensure collaboration across multi-disciplinary teams. Technical Skills & Experience AI/ML Expertise: Deep understanding of the full AI/ML project life cycle. Expert in deep learning and reinforcement learning. Experience with MLOps practices for effective model lifecycle management. Proficient in machine learning algorithms: k-NN, GBM, Naive Bayes, SVM, Neural Networks, Decision Forests. Tools & Frameworks: Hands-on experience with tools such as: Jupyter Hub, Zeppelin Notebook, Azure ML Studio TensorFlow, TensorFlow-Keras, PyTorch, SciKit-Learn, Spark MLlib Strong knowledge of CNN, R-CNN, LSTM, Encoder/Transformer architectures. Experience with deep learning models like Inception-ResNet and ResNeXt-50. Proven use of RNNs for text, speech, and generative models. Data Engineering & Storage: Familiarity with NoSQL databases (GraphX, Neo4J), document, columnar, and in-memory data models. Experience with ETL tools and platforms such as Talend, SAP BI Platform, SSIS, and MapReduce. Visualization & Reporting: Skilled in building KPI dashboards and storytelling visuals using tools like Tableau or Zoomdata. Preferred Qualifications Advanced degree in Data Science, Computer Science, AI/ML, or related fields. Demonstrated leadership in managing AI/ML projects and teams. Prior experience in consulting or energy/resources industries is a plus.

Role Summary As a Data Science Lead at Worley, you will collaborate with an established team to deliver high-impact data science and AI/ML projects for clients, while continuing to expand your own technical expertise. The role focuses particularly on working with unstructured data and involves designing scalable AI/ML solutions, staying on the leading edge of technology, and driving innovation across both internal and external stakeholders. Key Responsibilities Platform & Tool Development: Conceptualize, build, and manage AI/ML platforms with a focus on unstructured data. Evaluate and select the best AI/ML tools and frameworks in the industry. Leverage existing frameworks, standards, and patterns to create scalable architectural foundations. Solution Delivery & Ownership: Lead the development of cognitive solutions for both internal stakeholders and external customers. Conduct research in areas like Explainable AI, image segmentation, 3D object detection, and statistical methods. Ensure delivery of scalable, enterprise-grade applications and services. Strategic Insight & Innovation: Analyse global market trends (economic, social, cultural, technological) to identify AI/ML opportunities. Shape value propositions and recommendations using a global perspective. Evaluate algorithms, models, and emerging technologies to optimize organizational investment. Collaboration & Leadership: Guide and support data scientists and engineers in project execution involving large and complex datasets. Establish and oversee AI/ML lifecycle processes and best practices. Ensure collaboration across multi-disciplinary teams. Technical Skills & Experience AI/ML Expertise: Deep understanding of the full AI/ML project life cycle. Expert in deep learning and reinforcement learning. Experience with MLOps practices for effective model lifecycle management. Proficient in machine learning algorithms: k-NN, GBM, Naive Bayes, SVM, Neural Networks, Decision Forests. Tools & Frameworks: Hands-on experience with tools such as: Jupyter Hub, Zeppelin Notebook, Azure ML Studio TensorFlow, TensorFlow-Keras, PyTorch, SciKit-Learn, Spark MLlib Strong knowledge of CNN, R-CNN, LSTM, Encoder/Transformer architectures. Experience with deep learning models like Inception-ResNet and ResNeXt-50. Proven use of RNNs for text, speech, and generative models. Data Engineering & Storage: Familiarity with NoSQL databases (GraphX, Neo4J), document, columnar, and in-memory data models. Experience with ETL tools and platforms such as Talend, SAP BI Platform, SSIS, and MapReduce. Visualization & Reporting: Skilled in building KPI dashboards and storytelling visuals using tools like Tableau or Zoomdata. Preferred Qualifications Advanced degree in Data Science, Computer Science, AI/ML, or related fields. Demonstrated leadership in managing AI/ML projects and teams. Prior experience in consulting or energy/resources industries is a plus.

Role Summary As a Data Science Lead at Worley, you will collaborate with an established team to deliver high-impact data science and AI/ML projects for clients, while continuing to expand your own technical expertise. The role focuses particularly on working with unstructured data and involves designing scalable AI/ML solutions, staying on the leading edge of technology, and driving innovation across both internal and external stakeholders. Key Responsibilities Platform & Tool Development: Conceptualize, build, and manage AI/ML platforms with a focus on unstructured data. Evaluate and select the best AI/ML tools and frameworks in the industry. Leverage existing frameworks, standards, and patterns to create scalable architectural foundations. Solution Delivery & Ownership: Lead the development of cognitive solutions for both internal stakeholders and external customers. Conduct research in areas like Explainable AI, image segmentation, 3D object detection, and statistical methods. Ensure delivery of scalable, enterprise-grade applications and services. Strategic Insight & Innovation: Analyse global market trends (economic, social, cultural, technological) to identify AI/ML opportunities. Shape value propositions and recommendations using a global perspective. Evaluate algorithms, models, and emerging technologies to optimize organizational investment. Collaboration & Leadership: Guide and support data scientists and engineers in project execution involving large and complex datasets. Establish and oversee AI/ML lifecycle processes and best practices. Ensure collaboration across multi-disciplinary teams. Technical Skills & Experience AI/ML Expertise: Deep understanding of the full AI/ML project life cycle. Expert in deep learning and reinforcement learning. Experience with MLOps practices for effective model lifecycle management. Proficient in machine learning algorithms: k-NN, GBM, Naive Bayes, SVM, Neural Networks, Decision Forests. Tools & Frameworks: Hands-on experience with tools such as: Jupyter Hub, Zeppelin Notebook, Azure ML Studio TensorFlow, TensorFlow-Keras, PyTorch, SciKit-Learn, Spark MLlib Strong knowledge of CNN, R-CNN, LSTM, Encoder/Transformer architectures. Experience with deep learning models like Inception-ResNet and ResNeXt-50. Proven use of RNNs for text, speech, and generative models. Data Engineering & Storage: Familiarity with NoSQL databases (GraphX, Neo4J), document, columnar, and in-memory data models. Experience with ETL tools and platforms such as Talend, SAP BI Platform, SSIS, and MapReduce. Visualization & Reporting: Skilled in building KPI dashboards and storytelling visuals using tools like Tableau or Zoomdata. Preferred Qualifications Advanced degree in Data Science, Computer Science, AI/ML, or related fields. Demonstrated leadership in managing AI/ML projects and teams. Prior experience in consulting or energy/resources industries is a plus.

AI & Machine Learning Development: Develop, train, and fine-tune machine learning (ML) and deep learning (DL) models. Implement LLMs, NLP, reinforcement learning (RL), and computer vision (CV) models. Optimize retrieval-augmented generation (RAG) systems with vector databases (FAISS, Pinecone, Chroma). Work on multimodal AI systems integrating text, image, and audio processing. Agentic AI Systems Development: Build autonomous AI agents that can make decisions, learn from feedback, and interact with environments. Implement multi-agent frameworks using LangChain, CrewAI, AutoGen, BabyAGI, MetaGPT. Integrate AI agents with APIs, databases, and enterprise applications for real-world deployment. Software Engineering & MLOps: Design and deploy AI models using Docker, Kubernetes, and CI/CD pipelines. Implement MLOps workflows for continuous training, monitoring, and model retraining. Optimize AI solutions for cloud platforms (AWS, Azure, GCP) and edge computing. AI Governance & Security: Implement AI safety measures, including adversarial defense and bias mitigation. Ensure compliance with AI regulations (GDPR, HIPAA, SOC 2) and ethical AI principles. Secure AI agents against prompt injection, model poisoning, and adversarial attacks. Technical Skills: Strong programming skills in Python, Java, or R. Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn). Experience with LLMs & NLP (Hugging Face, OpenAI API, BERT, GPT, Claude). Proficiency in multi-agent frameworks (LangChain, CrewAI, AutoGen). Knowledge of reinforcement learning (PPO, A3C, DDPG, SAC). Experience with vector databases (FAISS, Pinecone, Chroma) and knowledge graphs. Strong foundation in MLOps, cloud AI services (AWS, Azure AI, Google Vertex AI). Soft Skills: Strong analytical and problem-solving skills. Ability to work in a fast-paced, cross-functional team. Excellent communication and documentation skills. Preferred Qualifications: Master s. in Computer Science, AI, or Data Science. Certifications in AI/ML (AWS ML Specialist, Google ML Engineer, Microsoft AI Engineer). Experience with autonomous systems, robotics, or digital twins.

AI & Machine Learning Development: Develop, train, and fine-tune machine learning (ML) and deep learning (DL) models. Implement LLMs, NLP, reinforcement learning (RL), and computer vision (CV) models. Optimize retrieval-augmented generation (RAG) systems with vector databases (FAISS, Pinecone, Chroma). Work on multimodal AI systems integrating text, image, and audio processing. Agentic AI Systems Development: Build autonomous AI agents that can make decisions, learn from feedback, and interact with environments. Implement multi-agent frameworks using LangChain, CrewAI, AutoGen, BabyAGI, MetaGPT. Integrate AI agents with APIs, databases, and enterprise applications for real-world deployment. Software Engineering & MLOps: Design and deploy AI models using Docker, Kubernetes, and CI/CD pipelines. Implement MLOps workflows for continuous training, monitoring, and model retraining. Optimize AI solutions for cloud platforms (AWS, Azure, GCP) and edge computing. AI Governance & Security: Implement AI safety measures, including adversarial defense and bias mitigation. Ensure compliance with AI regulations (GDPR, HIPAA, SOC 2) and ethical AI principles. Secure AI agents against prompt injection, model poisoning, and adversarial attacks. Technical Skills: Strong programming skills in Python, Java, or R. Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn). Experience with LLMs & NLP (Hugging Face, OpenAI API, BERT, GPT, Claude). Proficiency in multi-agent frameworks (LangChain, CrewAI, AutoGen). Knowledge of reinforcement learning (PPO, A3C, DDPG, SAC). Experience with vector databases (FAISS, Pinecone, Chroma) and knowledge graphs. Strong foundation in MLOps, cloud AI services (AWS, Azure AI, Google Vertex AI). Soft Skills: Strong analytical and problem-solving skills. Ability to work in a fast-paced, cross-functional team. Excellent communication and documentation skills. Preferred Qualifications: Master s. in Computer Science, AI, or Data Science. Certifications in AI/ML (AWS ML Specialist, Google ML Engineer, Microsoft AI Engineer). Experience with autonomous systems, robotics, or digital twins.

What You'll Do As an Optimization Scientist, you will design and deploy scalable optimization and reinforcement learning models to solve complex supply chain problems. You'll work on: Route Optimization:Solve VRP variants (Capacitated, Time Window, Multi-depot) using MILP, heuristics, and RL. Inventory Optimization:Develop multi-echelon inventory models using stochastic/dynamic programming and ADP. AI/OR Integration:Combine ML forecasts, OR models, and RL agents for end-to-end decision automation. Simulation & Deployment:Build simulation environments and deploy models in real-world systems. What We're Looking For Degree in Operations Research, Industrial Engineering, Applied Math, Computer Science, or related fields. 1+ years of experience in solving OR problems (LP/MILP, heuristics, metaheuristics). Hands-on experience with RL algorithms (PPO, DQN, A3C) and toolkits (OpenAI Gym, RLlib, Stable-Baselines3). Strong Python skills with libraries like Gurobi, Pyomo, NumPy, Pandas, TensorFlow/PyTorch. Why Join Us Work on real-world, high-impact problems in supply chain and logistics. Collaborate with a world-class team of scientists and engineers. Flexible, innovation-driven culture with opportunities for growth.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Location - Hyderabad Experience - 3-8 Years We are seeking an experienced Machine Learning Engineers specializing in Generative AI to join our core AI team. The ideal candidate will be responsible for designing, developing, and deploying cutting-edge generative AI solutions, with a focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Intelligent agent systems. Key Responsibilities: Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation Create robust evaluation frameworks for measuring and improving model performance Build and maintain agentic workflows for autonomous AI systems Collaborate with cross-functional teams to identify opportunities and implement AI solutions Required Qualifications: Bachelor's or Master's degree in Computer Science, or related technical field 3+ years of experience in Machine Learning/AI engineering Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow) Practical experience with LLM deployments and fine-tuning Experience with vector databases and embedding models Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure) Strong understanding of RAG architectures and implementation Preferred Qualifications: Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers) Knowledge of prompt engineering and chain-of-thought techniques Experience with containerization and microservices architecture Background in NLP and deep learning Background in Reinforcement Learning Contributions to open-source AI projects Experience with ML ops and model deployment pipelines Skills and Competencies: Strong problem-solving and analytical skills Excellent communication and collaboration abilities Experience with agile development methodologies Ability to balance multiple projects and priorities Strong focus on code quality and best practices Understanding of AI ethics and responsible AI development

As a Senior Data Scientist, you will apply your expertise in statistics, machine learning, and data analysis to extract valuable insights from structured and unstructured data. You will work closely with cross-functional teams to develop predictive models, improve business processes, and contribute to data-driven decision-making across the organization. Required Skills (Must have) Tech: Advanced programming knowledge in Python and SQL. Advanced knowledge in Probability and Statistics, including hypothesis testing. Advanced knowledge in Practical Machine Learning and awareness of the key-pitfalls in the practice of machine learning and approaches to addressing them. Advanced knowledge of data visualization technologies like Tableau, and PowerBI, and comfortable using relevant libraries in Python like seaborn and matplotlib. Experienced in modern development tools and writing code collaboratively. Intermediate knowledge of Cloud technologies and experience in developing data science solutions in one or more cloud platforms. Experienced in modern development tools, writing code collaboratively and developing solutions on cloud platforms. Non Tech : Ability to recognize and pursue pragmatic alternatives vis--vis a perfect solution, balancing priorities of time with potential business impact. Plan projects, break them down across individual data scientists in the team, track their performance and manage risks. Ability to storyboard an entire presentation to a non-technical audience. Ability to work independently to develop data science solutions, while also being able to work as part of a team to communicate findings and collaborate on solutions. Strong written skills. This is required for submitting technical papers, whitepapers, and developing project documentations. Technical leadership and mentorship to the community of data scientists in the organization. Required Skills (Good to have) Tech: Advanced knowledge in one or more areas besides Machine Learning – Operations Research, Natural Language Processing, Deep learning and its applications, Time Series forecasting at scale. Reinforcement Learning, Graph Machine Learning, Explainable Machine learning. Advanced understanding of Cloud technologies and experience of deploying applications on cloud. Non Tech: Ability to solution critical business problems into its component parts and match each such part with an appropriate technical approach. Roles and Responsibilities As Senior Data Scientist, you will be responsible for a wide range of engagements listed below: Formulates complex problems into hypotheses and proofs of concept for testing. Socializes this with the rest of the team and guides them to deliver on it. Applies business acumen in analyses to extract meaningful and actionable information. Communicates complex ideas and insights effectively to stakeholders with various levels of technical experience. Leverages various analytical techniques, appropriate to solving the business problem at hand. Performs research for solutions and solves problems efficiently to overcome data analytics challenges. Engages in the collection, integration, analysis, and presentation of data for various business contexts Understands good software development practices (versioning, peer reviews, refactoring, and pair programming), adapts them to the needs of the team and sets an example for others by following them. Creates and maintains technical documentation of the scientific experimentations performed, preferably in the CRISP-DM framework or like. Keeps up with the latest trends, technologies, and best practices in the field of Data Science and Engineering. Shares this knowledge with the rest of the data science team. Does peer reviews of codes and approaches of fellow members of the data science team. Provides mentorship to junior data scientists in the team. Looks for improvements in data science delivery processes, actively seeks buy-in on the improvements from peers and managers, implements them in the team and monitors their adoption. 4 to 6 years experience is mandatory