262 Reinforcement Learning Jobs - Page 3

As a Senior Manager Generative AI & Data Science, you will be responsible for leading our advanced AI initiatives with a focus on Generative AI, machine learning, and data science. With 12-15 years of experience in the field, you will showcase a track record of delivering impactful solutions across various domains. Your role involves managing a team of data scientists, data engineers, and AI specialists, collaborating with cross-functional teams to tackle complex business challenges. Your key responsibilities will include overseeing the design, development, and implementation of advanced AI/ML models, specifically in Generative AI, deep learning, and data-driven decision-making processes. You will drive AI and data science strategies aligned with business objectives, identify opportunities for leveraging AI/ML technologies, and mentor your team to foster innovation and collaboration. Additionally, you will manage end-to-end AI projects, maintain data pipelines, and present insights to senior executives and stakeholders. To excel in this role, you should have a strong background in Generative AI models, deep learning techniques, machine learning frameworks like TensorFlow and PyTorch, and data science concepts such as statistical modeling and predictive analytics. Proficiency in big data technologies, cloud platforms, and data visualization tools is essential. Your leadership, problem-solving, and communication skills will be crucial in guiding your team and translating technical solutions into business value. Preferred qualifications include experience in NLP, computer vision, reinforcement learning, and deploying AI models to production. Familiarity with agile methodologies and a results-oriented approach will be beneficial in our dynamic and collaborative work environment. Stay updated on AI trends to ensure our company remains competitive in the evolving AI landscape.,

You should have a minimum of 4+ years of experience in AI-based application development. Your responsibilities will include fine-tuning pre-existing models to improve performance and accuracy. You should have experience with frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks, as well as familiarity with APIs like OpenAI or Vertex AI. Additionally, experience with NLP tools and libraries like NLTK, SpaCy, GPT, and BERT is required. You will be implementing frameworks like LangChain, Anthropics Constitutional AI, OpenAI, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluating and analyzing RAG solutions and utilizing the best-in-class LLM to define customer experience solutions will be part of your role. Architecting and developing advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others is also expected. You should have a strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Exploring and implementing cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning is essential. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib is crucial for this role. Optimizing model performance through experimentation, hyperparameter tuning, and advanced optimization techniques is required. Proficiency in Python with the ability to get hands-on with coding at a deep level is a must. You will also be developing and maintaining APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Having the ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational databases (e.g., MongoDB or Cassandra) is necessary. Enthusiasm for continuous learning and professional development in AI and related technologies is highly valued. Collaboration with cross-functional teams to understand business requirements and translate them into technical solutions is expected. Knowledge of cloud services like AWS, Google Cloud, or Azure is necessary. Proficiency with version control systems, especially Git, is required. Familiarity with data pre-processing techniques and pipeline development for AI model training is essential. Experience with deploying models using Docker, Kubernetes, AWS Bedrock, and Sagemaker is a plus. Strong problem-solving skills with the ability to translate complex business problems into AI solutions are crucial for success in this role.,

As a Machine Learning Engineer at our company, you will be responsible for designing, developing, and implementing machine learning models, with a focus on deep learning, reinforcement learning, and predictive modeling. You will leverage popular frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for AI/ML development. Additionally, you will work on Natural Language Processing (NLP) projects, utilizing tools like NLTK, Langchain, and large language models such as GPT and LLAMA. Your role will involve performing crucial tasks such as data preprocessing, cleaning, and transformation to ensure the efficiency of machine learning pipelines. You will also conduct data exploration and statistical analysis to extract actionable insights from the data. Furthermore, you will use visualization tools like Power BI, Tableau, Matplotlib, Plotly, and Seaborn to create interactive dashboards and visualizations for better understanding and communication of the results. This is a full-time position that requires you to work in-person during day shifts. The ideal candidate will have a Bachelor's degree as their educational background, with a preference for candidates with at least 3 years of total work experience, specifically in artificial intelligence for 3 years. If you are passionate about machine learning, adept at utilizing various frameworks and tools, and have a strong foundation in AI/ML concepts, this role offers an exciting opportunity to contribute to cutting-edge projects and drive innovation within the field.,

Job Summary: We are looking for an experienced and visionary Machine Learning Lead with 8 to 12 years of industry experience to lead the design and development of advanced machine learning systems. The ideal candidate brings deep expertise in machine learning , computer science fundamentals , and system design , and is passionate about building robust, scalable, and intelligent systems that solve real-world problems at scale. Position Summary : Platform for Financial Inclusion aims to simplify banking services by making it accessible and intuitive for consumers yet efficient for bankers. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical field. 8 to 12 years of experience in machine learning, software engineering, or related technical roles. Technical Skills • Strong understanding of software engineering principles and fundamentals including data structures and algorithms. • Excellent understanding of object-oriented concepts and Python. • Strong knowledge of computer science fundamentals to develop a scalable system • Experience in NLP models like BERT, Transformer architectures, etc. • Experience in leveraging Computer Vision and OCR in document extraction use cases • Familiarity with ML problems (ex, Classification/Regression/Anomaly Detection) • Python ML Packages (Scikit/Numpy/Pandas/OpenCV) • Exposure to REST API/ Flask concepts • Experience in deep learning package, Pytorch, Tensorflow Preferred Qualifications: Experience building and scaling real-time ML systems , such as recommendations, personalization engines, or fraud detection. Deep understanding of deep learning , NLP , time series forecasting , or reinforcement learning . Track record of leading cross-functional ML projects from idea to production. Experience implementing robust monitoring , alerting , and model retraining strategies in production environments. Published papers, open-source contributions, or speaking experience in ML/AI conferences. Roles and Responsibilities Lead the design, development, and deployment of scalable and reliable ML systems across the organization. Drive end-to-end ownership of ML projects — from problem definition and data exploration to model training, validation, deployment, and monitoring. Collaborate cross-functionally with data scientists, engineers, product managers, and business stakeholders to define ML strategies and deliver impactful solutions. Apply deep knowledge of computer science fundamentals , including data structures , algorithms , distributed systems , and system architecture , to build high-performance ML infrastructure. Guide and mentor a team of machine learning engineers and data scientists; establish best practices for model development, testing, and deployment (MLOps). Evaluate and integrate new technologies, tools, and frameworks that improve system scalability, efficiency, and maintainability. Ensure high-quality, well-documented, and maintainable code and ML pipelines. Champion a culture of experimentation, performance tracking, and continuous learning.

You will be part of a cutting-edge crypto hedge fund that specializes in high-frequency and machine-assisted trading strategies. We are looking for an exceptional PhD-level mathematical talent to lead our quantitative research and development efforts. As a PhD Physics or Mathematics candidate with advanced mathematical expertise, you will be responsible for developing sophisticated trading algorithms and innovative financial models in the dynamic cryptocurrency markets. You should have an advanced degree (Masters/PhD) in Computer Science, AI, Machine Learning, Quantitative Finance, Mathematics, or related fields. Your key responsibilities will include designing and implementing advanced machine learning and AI-driven trading strategies, developing high-frequency trading algorithms using Python/C++, conducting quantitative research on market microstructure and trading opportunities, creating predictive models using time series analysis and stochastic calculus, analyzing complex market patterns, and developing innovative trading approaches. You will also be involved in researching, designing, and implementing AI-powered trading algorithms to predict market movements and optimize execution, developing and training machine learning models using historical and real-time market data, utilizing reinforcement learning and deep learning techniques for predictive modeling in financial markets, leveraging NLP and sentiment analysis for trading signals, optimizing AI models for real-time decision-making and high-frequency trading strategies, conducting backtesting and live simulations to evaluate model performance, and working with large-scale financial datasets using cloud-based AI/ML infrastructure. To excel in this role, you are required to have a PhD in Mathematics, Applied Mathematics, Statistics, or related quantitative field, along with advanced knowledge in Stochastic Calculus, Machine Learning/Artificial Intelligence, Game Theory, Time Series Analysis, Control Theory, and Pattern Recognition. In addition to technical expertise, we are looking for candidates with a research-driven mindset, exceptional analytical capabilities, strong problem-solving skills, ability to work independently and collaboratively, strong attention to detail, ability to thrive in high-pressure environments, critical thinking skills, rapid skill acquisition, and a creative approach to complex technical challenges. The ideal candidate for this position is passionate about applying cutting-edge mathematical research to financial markets, excited by cryptocurrency's technological and financial innovations, comfortable with self-guided research and collaborative problem-solving, and adaptable to rapidly changing technological landscapes.,

As a Data Science Consultant with expertise in machine learning and Python, you will be responsible for the end-to-end architecture of Data Science and machine learning projects. Your role will involve productionizing machine learning models and guiding the development team in implementing machine learning use cases. You will provide technology consulting to define the right Data Science and ML use cases. Your responsibilities will include data collection, profiling, exploratory data analysis, and data preparation. You will be involved in AI model development, tuning, and validation. Utilizing visualization tools such as PowerBI and Tableau, you will present findings to business users and project management teams. Additionally, you will propose ML-based solution approaches, provide estimates for new use cases, and contribute to AI-based modules in Infosys solutions development. In this role, you will continuously explore new advances in AI and execute Proof of Concepts (PoCs). You will also mentor and guide other team members, sharing your knowledge and expertise in ML algorithms, AI domains including NLP, speech, and computer vision, as well as supervised, unsupervised, and reinforcement learning. Your proficiency in tools for data analysis, auto ML, model deployment, and scaling will be key to your success. Preferred Skills: - Expertise in Artificial Intelligence across all domains related to AI - Proficiency in programming languages such as Python - Knowledge of databases - Familiarity with cloud platforms such as Azure, AWS, and GCP Join us in this dynamic role where you will play a crucial part in driving Data Science and machine learning initiatives, contributing to cutting-edge solutions and impacting business outcomes.,

As an AI Engineer, your primary responsibility will be to architect, develop, and deploy advanced AI solutions that incorporate Machine Learning, Generative AI, NLP, and LLMs. It is crucial to stay updated on the latest AI advancements, actively researching and integrating emerging trends and technologies such as LLMOps, Large Model Deployments, LLM Security, and Vector Databases. Your role will also involve streamlining data modeling processes to automate tasks, enhance data preparation, and facilitate data exploration for optimizing business outcomes. Collaboration with cross-functional teams, including business units, accounts teams, researchers, and engineers, will be essential to translate business requirements into actionable AI solutions. You must exhibit expertise in responsible AI practices, ensuring fairness, transparency, and interpretability in all models. Identifying and mitigating potential risks related to AI and LLM development and deployment, while emphasizing data trust and security, will also be part of your responsibilities. Moreover, you will 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 requires hands-on, fast-paced, and high-intensity work. The ideal candidate should be proactive, adaptable, and comfortable working in a dynamic and demanding setting. To qualify for this position, you should have a minimum of 2 years of hands-on experience in developing and deploying AI solutions, with a proven track record of success. A Master's degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience) is required. Proficiency in Machine Learning, NLP, Generative AI, and LLMs, including their architectures, algorithms, and training methodologies, is essential. Additionally, you should have an 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 is crucial. Experience with Azure Cloud services, strong communication, collaboration, problem-solving abilities, and a commitment to ethical AI practices and security standards are also necessary. Proficiency in deep learning frameworks and languages such as Azure ML platform, Python, PyTorch, etc., along with hands-on experience with ML frameworks, libraries, and third-party ML models, is expected. Expertise in building solutions using AI/ML/DL open-source tools and libraries, strong analytical and problem-solving skills, the ability to write optimized and clear code, and address complex technical challenges effectively are important qualities for this role. Being self-motivated, a fast learner, with a proactive approach to learning new technologies, proficiency in data analysis and troubleshooting skills, and experience in building AI/ML/DL solutions for NLP/text applications, with familiarity in reinforcement learning being advantageous, are also required. A minimum of 2 years of experience on AI/ML/DL projects, with specialization or certification in Artificial Intelligence being a plus, and good knowledge of Azure AI/Cognitive Services tools are additional qualifications for this position.,

Candidates for this position are preferred to be based in Bangalore and will be expected to comply with their team's hybrid work schedule requirements. Wayfair is moving the world so that anyone can live in a home they love a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. Wayfair's Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state-of-the-art Machine Learning techniques. The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are looking for an experienced Senior Machine Learning Scientist to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfair's advertising platform. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your ML expertise to define and deliver 0-to-1 capabilities that unlock substantial commercial value and directly enhance advertiser outcomes. What You'll do: - Design and build intelligent budget, tROAS, and SKU recommendations, and simulation-driven decisioning that extends beyond the current advertising platform capabilities. - Lead the next phase of GenAI-powered creative optimization and automation to drive significant incremental ad revenue and improve supplier outcomes. - Raise technical standards across the team by promoting best practices in ML system design and development. - Partner cross-functionally with Product, Engineering, and Sales to deliver scalable ML solutions that improve supplier campaign performance. Ensure systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows. - Research and apply best practices in advertising science, GenAI applications in creative personalization, and auction modeling. Keep Wayfair at the forefront of innovation in supplier marketing optimization. - Collaborate with Engineering teams (AdTech, ML Platform, Campaign Management) to build and scale the infrastructure needed for automated, intelligent advertising decisioning. We Are a Match Because You Have: - Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or related field. - 9+ years of experience in building large scale machine learning algorithms. - 4+ years of experience working in an architect or technical leadership position. - Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, transformers and NLP techniques. - Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade products. - Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organization. - Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Excellent written and verbal communication. - Ability to partner cross-functionally to own and shape technical roadmaps - Intellectual curiosity and a desire to always be learning! Nice to have: - Experience with GCP, Airflow, and containerization (Docker). - Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. - Familiarity with Generative AI and agentic workflows. - Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning.,

As a Senior Machine Learning Manager at Wayfair's Advertising Optimization & Automation Science team, you will play a pivotal role in leading a team dedicated to developing intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfair's advertising platform. Your responsibilities will involve owning the strategy, roadmap, and execution of supplier advertising intelligence and automation solutions. You will lead initiatives focused on GenAI-powered creative optimization, ML-based recommendation systems, and campaign automation to drive significant incremental ad revenue and improve supplier outcomes. In this role, you will build, coach, and manage a team of ML scientists who will work on developing intelligent budget, target Return on Ad Spend (tROAS), and SKU recommendations, as well as creative testing frameworks and simulation-driven decision-making processes. Collaboration with cross-functional teams such as Product, Engineering, and Sales will be essential to deliver scalable ML solutions that enhance supplier campaign performance. Your expertise will be crucial in ensuring that systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows. Furthermore, you will be involved in researching and applying best practices in advertising science, GenAI applications in creative personalization, and auction modeling to keep Wayfair at the forefront of innovation in supplier marketing optimization. Collaboration with Engineering teams will also be a key aspect of your role to build and scale the necessary infrastructure for automated, intelligent advertising decision-making. To be successful in this position, you should have a Bachelor's or Masters's degree in Computer Science, Mathematics, Statistics, or a related field, along with 9+ years of industry experience. Additionally, you should have at least 1-2 years of experience as a manager of teams and 5+ years serving as an Individual Contributor (IC) on production ML systems. Proficiency in programming languages such as Python, Golang, or Rust is required, and experience with GCP, Airflow, and containerization is a plus. If you are a strategic thinker with a customer-centric mindset, excellent communication skills, and a passion for creative problem-solving, this role offers you the opportunity to make a significant impact in a rapidly growing organization like Wayfair. Join us in reinventing the way people shop for their homes and embark on a rewarding career journey filled with growth, learning, and dynamic challenges. Please note that your personal data will be processed in accordance with Wayfair's Candidate Privacy Notice. For any inquiries or to exercise your privacy rights, please contact dataprotectionofficer@wayfair.com.,

As a Senior Data Scientist at Zinnia, you will be a vital member of our team, playing a key role in developing cutting-edge solutions to drive the growth of life and annuities products. Your expertise in machine learning and forecasting will be instrumental in influencing decision-makers and shaping the future of our business. In this high-impact role, you will independently own and build forecasting models, working closely with stakeholders from Product, Data Engineering & Analytics, and Business Strategy. By leveraging data from various sources, you will provide valuable insights and develop new data-driven tools to enhance customer experiences and streamline internal processes. Your responsibilities will include developing machine learning applications using Python, implementing supervised and unsupervised models such as random forest, gradient boosting, and support vector machines. You will also work on advanced modeling techniques like reinforcement learning and neural networks to deliver prescriptive insights and automated decision-making capabilities. Moreover, you will collaborate with data engineering teams to ensure the quality of data, conduct experiments to measure model impact, and manage training pipelines effectively. Your role will involve translating complex business problems into actionable data science projects and deploying models to production infrastructure. As a mentor and collaborator, you will work with other data scientists and data analysts to foster a culture of learning and innovation within the team. Additionally, you will partner with marketing teams to conceptualize applications that drive company growth and strategy, connecting machine learning solutions with business needs. To excel in this role, you should have a minimum of 5 years of experience in building and validating machine learning models in Python. Your expertise should cover a range of model techniques including supervised and unsupervised learning, as well as advanced techniques like neural networks and natural language modeling. Experience with relational cloud databases and unstructured datasets will also be crucial for success in this position. If you are a highly motivated individual with a passion for data science, a drive to solve complex business challenges, and a desire to make a significant impact in the insurance industry, we invite you to join us at Zinnia and be part of our mission to protect financial futures through innovation and data-driven insights.,

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As an Applied AI ML Associate Sr. at JPMorgan Chase in the Asset and Wealth Management Technology division, you will play a key role as an experienced member of our Data Science Team. Your responsibilities will include addressing business problems through data analysis, developing models, and deploying these models to production environments on AWS or Azure. Job responsibilities Collaborates with all lines of business and functions to delivery software solutions. Experiments, develops and productionizes high quality machine learning models, services and platforms to make huge technology and business impact. Designs and implements highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience BE/B.Tech, ME/MS or PhD degree in Computer Science, Statistics, Mathematics or Machine learning related field. Solid programming skills with Python Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Experience in using GenAI (OpenAI or other models ) to solve business problem. Knowledge of machine learning frameworks: Tensorflow and Pytorch Experience in training/ inference/ML ops on public cloud (AWS/GCP/Azure) Strong analytical and critical thinking skills. Preferred qualifications, capabilities, and skills Self-motivation, great communication skills and team player Knowledge of Asset and Wealth management business is added advantage .

Mavenir is building the future of networks and pioneering advanced technology, focusing on the vision of a single, software-based automated network that runs on any cloud. As the industry's only end-to-end, cloud-native network software provider, Mavenir is transforming the way the world connects, accelerating software network transformation for 250+ Communications Service Providers in over 120 countries, which serve more than 50% of the world's subscribers. Role Summary Plans, designs, develops and tests software systems or applications for software enhancements and new products including cloud-based or internet-related tools. Key Responsibilities Very good expertise in Machine Learning (Classical) and Deep Learning Candidates with Reinforcement Learning experience will be preferred. Very good expertise in Data Science and Statistical concepts Excellent in building ML models using Tensorflow & Pytorch frameworks. Expertise in Python and SQL. Candidates with experience in applying ML in Telecom preferred (not mandatory) Basic Qualification - M.S or Phd in AI/Data Science/CS Job Requirements Very good expertise in Machine Learning (Classical) and Deep Learning Candidates with Reinforcement Learning experience will be preferred. Very good expertise in Data Science and Statistical concepts Excellent in building ML models using Tensorflow & Pytorch frameworks. Expertise in Python and SQL. Candidates with experience in applying ML in Telecom preferred (not mandatory) Basic Qualification - M.S or Phd in AI/Data Science/CS Accessibility Mavenir is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you require any assistance, please state in your application or contact your recruiter. Mavenir is an Equal Employment Opportunity (EEO) employer and welcomes qualified applicants from around the world, regardless of their ethnicity, gender, religion, nationality, age, disability, or other legally protected status.

Job Description At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us deine the future of American Express. Overview of the Business: Credit and Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining industry lowest credit loss rates. It uses an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending, and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation. A single decision can have many outcomes. And when that decision affects millions of customers, it needs to be the right one. That's where our Credit & Fraud Risk (CFR) Analytics & Data Science CoE team comes in. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation, every day. Right from targeting the right customer for our products to underwriting them to managing their experience with Amex when they get onboarded, every decision is advised by groundbreaking analytics & data science. We help the company grow its business profitably while delivering the world's best customer experience, all powered by data. We are the backbone of all financial services operations at American Express and impact every aspect of the company. As a part of the team, you'll have the opportunity to work in one of the best companies for data scientists in the country. You will solve real world business problems while getting exposure to the industry's top leaders in analytics, data science and machine learning. If you're passionate about solving complex problems and crafting solutions that impact millions, you should consider a career in CFR. Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing. Responsibilities: Understand the core business of AXP and the levers behind various decisions Analyze large amounts of data to derive business insights and create innovative solutions Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant Innovate with a focus on developing newer and better approaches using big data & machine learning solution Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc. Minimum Qualifications . MBA, Master's Degree In Economics, Statistics, Computer Science Or related fields . 0-18 months of experience in analytics, big data workstreams . Ability to drive project deliverables to achieve business results . Ability to work effectively in a team environment . Strong communication and interpersonal skills . Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives . Ability to Integrate with Cross-Functional Business Partners Worldwide . SAS, R, Python, Hive, Spark, SQL . Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering Preferred Qualifications . Expertise in Coding, Algorithm, High Performance Computing American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background veriication check, subject to applicable laws and regulations.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS. 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 .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 You'll Bring .Bachelor's 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. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive. If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To complete your application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At:

As an AI/ML/DNN/DRL Researcher at Bert Labs, you will be responsible for conducting comprehensive research on the application of Artificial Intelligence, Machine Learning, Deep Neural Networks, and Deep Reinforcement Learning in various industrial domains including Commercial Buildings HVAC - Utility Systems, Pharma HVAC - Utility Systems, Pharma Process Equipment, Pharma Drug Discovery, Cement, Chemical/Speciality Chemical, Consumer Goods, Pulp & Paper, Materials, Automobile, and Energy Generation & Distribution. Your role will involve conceptualizing, architecting, designing, developing, productionizing, and enhancing models as part of the Platform Solution. You will be expected to establish scalable pipelines and processes for data pre-processing/cleaning, feature extraction, dimensionality reduction, model construction, and serving. Additionally, you will utilize both existing and emerging algorithms to create prediction and optimization models using time series data. Collaboration is key in this role, as you will work closely with the first principles modeling team to integrate outputs from first principles simulations and deep neural network simulations. You will also collaborate with industrial domain experts to maximize performance in complex manufacturing processes and equipment. Your involvement with Product Management Leaders will focus on tailoring Bert Labs Foundational AI models for different manufacturing plants and buildings. Furthermore, you will engage with front-end developers to incorporate analytics and assist backend developers in creating high-performing distributed computing software modules. This position offers an entrepreneurial leadership role where innovation beyond current capabilities is encouraged on a daily basis. Your collaboration with the IPR team will involve generating innovative ideas for potential patents and participating in freedom to operate searches, technology landscaping, prior art searches, and patent processes. Ideal candidates for this position should hold a BTech/MTech/PhD in CS/ECE/Statistics or related fields from reputable institutions such as IITs/BITS/NITs/IIITs/Jadavpur University/DTU/Top Engineering Institutes in the USA, Europe, UK/NUS. To excel in this role, you should possess 6 to 12 years of demonstrated experience in Computer Vision, Machine Learning, Python, Keras, Scikit-learn, TensorFlow, and statistical time-series analytics and forecasting techniques. Experience with applications to sales/demand forecasting in retail, as well as analytics for industrial IoT time-series data, is preferred. Proficiency in Reinforcement Learning, ANN/RNN/LSTM, Gradient Boosted Machines, SVM, and Ensemble techniques is advantageous. Familiarity with NoSQL DBs, Hadoop, analytics tools like Power BI, Tableau, and data pipelines for ML such as Apache Spark Streaming and Storm is also beneficial. Join Bert Labs today and be part of a dynamic team that challenges the status quo, fosters diversity and inclusion, and encourages collaboration to drive innovation in AI-driven solutions for sustainable business transformation.,

As a Senior Engineering Manager of Artificial Intelligence at JioTesseract, you will lead a dedicated AI team to develop cutting-edge solutions for humanoid robots. Your role will involve strategic leadership, deep expertise in AI, machine learning, and robotics, and a focus on driving innovation within the team. Mentoring engineers, overseeing AI model development, and ensuring successful integration with robotic systems will be key responsibilities. The ideal candidate should exhibit strong leadership skills and possess technical expertise in AI and robotics. Your responsibilities will include: AI Strategy and Roadmap: - Developing and executing the AI strategy in alignment with JioTesseract's product and business objectives. - Identifying opportunities to leverage AI and machine learning to enhance humanoid robot functionality. - Staying updated on AI advancements and emerging technologies to continually evolve the AI strategy. Leadership and Team Management: - Leading and mentoring a team of AI engineers and researchers to create advanced AI models for humanoid robots. - Cultivating a collaborative, innovative, and high-performance team culture. - Guiding the team in AI development best practices, model evaluation, and testing. AI Development and Execution: - Supervising the development of AI systems, including perception, decision-making, natural language processing, and reinforcement learning. - Ensuring seamless integration of AI components with hardware, software, and mechanical engineering teams. - Driving the architecture, design, and implementation of complex AI systems for real-time robot decision-making and navigation. Research and Innovation: - Spearheading AI research to enhance humanoid robot capabilities. - Keeping abreast of industry trends and fostering the development of state-of-the-art AI techniques. - Collaborating with external research institutes, universities, and AI communities to drive innovation. Talent Acquisition and Development: - Recruiting, retaining, and developing top-tier AI talent for the team. - Mentoring engineers to facilitate their professional growth and technical expertise. Business Impact and Reporting: - Communicating technical progress, challenges, and future roadmaps to senior executives and stakeholders. - Utilizing performance metrics to evaluate AI development success and its impact on product outcomes. - Identifying optimization and scaling opportunities for AI solutions to maximize business impact. Requirements: - 10+ years of AI development experience, with a focus on AI-driven robotics projects. - Proficiency in AI for robotics, specifically in computer vision, reinforcement learning, and natural language processing. - Strong skills in Python, C++, TensorFlow, PyTorch, and other AI/ML frameworks. - Deep understanding of robot perception, SLAM, and real-time AI decision-making systems. Leadership and Collaboration: - Demonstrated ability to lead and mentor cross-functional teams in a high-performance environment. - Excellent communication and collaboration skills to engage with executives and key stakeholders.,

Senior Data Scientist I Are you interested in working with data and analytics to solve problems Are you interested in bringing your Gen AI, Machine Learning and NLP expertise to projects About our Team: Data Science Health Content Operations team works with a focus on Generative AI, Machine Learning, Natural Language Processing, and Statistical techniques. It helps in building state of the art applications for the health sciences domain. About the Role: As a Senior Data Scientist, you will play a pivotal role in the development and deployment of cutting-edge Generative AI models and solutions. You will be responsible for building, testing, and maintaining our Generative AI, Retrieval Augmented Generation (RAG) and Natural Language Processing (NLP) solutions. This includes evaluating their performance and implementing guardrails to ensure ethical and responsible use of AI technologies. You will engage in the entire life cycle of data science projects, including design, implementation, evaluation, productionisation and ongoing enhancement. A key focus of your work will be on the customization and optimization of existing RAG pipelines to support applications that involve content ingestion, machine translation, and contextualized information retrieval. Experience with end-to-end model deployment, including leveraging AI agents, Model Context Protocol (MCP) for effective context management, and cloud platforms such as AWS (including AWS Bedrock), Azure, or similar services, is a strong plus.Your deliverables will include efficient, production-ready Python code, with experience in Java considered an asset. You will collaborate closely with Subject Matter Experts (SMEs) and the technology team to deploy and operationalize our data science pipelines. This role requires a strong foundation in Natural Language Processing (NLP), Machine Learning, Transformer models and Generative AI, as well as proficiency in Python. Responsibilities: Collect data, perform data analysis, develop models, define quality metrics, and conduct quality assessments of models, along with regular presentations to stakeholders. Create production-ready Python packages for each component of data science pipelines (e.g., pre-processing, model inference, evaluation) and coordinate their deployment with the technology team. Design, develop, and deploy Generative AI models and solutions that meet specific business needs. Expertise in Retrieval Augmented Generation (RAG) optimization and customization of existing RAG pipelines to meet specific project needs. Proficiency in large-scale data ingestion, preprocessing, and transformation of multilingual content to ensure high-quality inputs for downstream models. Build AI Agentic models with RAG pipeline. Fine-tune large language models (LLMs) and transformer models to enhance accuracy and relevance. Implement guardrails and evaluation mechanisms to ensure responsible and ethical AI usage. Conduct rigorous testing and evaluation of AI models to ensure high performance and reliability. Integrate data science components and ensure end-to-end quality assessment. Maintain the robustness of data science pipelines against model drift and ensure consistent output quality. Establish a reporting process for pipeline performance and develop automatic re-training strategies for existing pipelines. Work collaboratively with cross-functional teams to integrate AI solutions into existing products and services. Mentor junior data scientists and contribute to the knowledge-sharing culture within the team. Stay up-to-date with the latest advancements in AI, machine learning, and NLP technologies. Requirements: Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field. 7+ years of relevant applied experience in data science, with a focus on Generative AI, NLP, and machine learning. Proficiency in Python for data analysis, model development, and deployment. Strong experience with transformer models and fine-tuning techniques for large language models (LLMs). Proficiency in Generative AI technologies, including utilizing LLMs via API access, LLM evaluation tools, and prompt engineering. Knowledge of various RAG pipelines and their practical implementation. Experience building Agentic RAG systems is strong requirement. Experience with AI agent management frameworks such as LangChain, AutoGen, Haystack, MCP, or similar tools. Experience with advanced algorithms in deep learning, neural networks, reinforcement learning, and transfer learning. Familiarity with traditional machine learning algorithms such as random forests, SVM, logistic regression, and Bayesian modelling for model building, validation, and testing. Understanding of AI ethics, guardrail implementation, and evaluation metrics. Familiarity with cloud platforms (e.g., Bedrock, AWS, Azure) for model deployment and the creation of production-ready pipelines. Proficiency in data visualization tools and techniques. Experience with version control systems (e.g., GitLab or GitHub), Jira, and working in an Agile environment. Proficient in using .nix systems, open-source software, Jupyter Notebook, libraries, and cloud computing. Excellent problem-solving and analytical skills, with strong attention to detail. Strong communication skills and the ability to work effectively in a team-oriented environment. Work in a Way That Works for You: We promote a healthy work/life balance and provide various well-being initiatives, shared parental leave, study assistance, and sabbaticals to help you meet both your immediate responsibilities and long-term goals. Working for You: We offer comprehensive benefits to support your health and well-being, including: Health insurance for you and your family. Enhanced health insurance options at competitive rates. Group life insurance for financial security. Group accident insurance for protection against accidental death and permanent disability. Flexible working arrangements for work-life balance. Employee assistance programs for personal and work-related support. Medical screenings prioritize your well-being. Modern family benefits, including maternity, paternity, and adoption support. Long-service awards to recognize dedication. New baby gifts to celebrate parenthood. Subsidized meals at specific locations. Various paid time-off options, including casual leave, sick leave, privilege leave, compassionate leave, special sick leave, and public holidays. Free transportation for home-office-home travel in select locations. About Business: We are a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science, research, health education, interactive learning, and exceptional healthcare and clinical practice. At Elsevier, your work contributes to addressing the world's grand challenges and creating a more sustainable future. We harness innovative technologies to support science and healthcare, partnering for a better world ----------------------------------------------------------------------- We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. .

About the Team Our Data Science team is the Avengers to Meesho's S.H.I.E.L.D ?????. And why not We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We've barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. About the Role As a Principal Data Scientist in our AdTech team, you'll drive innovation in our advertising platform using advanced machine learning and statistical methods. You'll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our business's bottom line. This role requires technical excellence and business acumen and you'll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. What you will do Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI. Create frameworks and experimental design to measure ad effectiveness and ROI. Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions. Communicate long-term roadmap, insights and recommendations to tech and business leadership. Mentor junior data scientists and provide technical Lead research initiatives in machine learning, auction theory and advertising technology. What you will need B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research. Experience in auction theory, predictive modelling, causal inference, and reinforcement learning. Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies. History of mentoring junior data scientists, and comfortable in driving multiple problem statements. Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Preferred Qualifications: M.Tech or Ph.d in Computer Science with a specialization in Machine Learning. 3+ years of experience applying machine learning and statistical modeling in AdTech, or related domains. Exposure in real-time bidding systems, programmatic advertising, or ad exchanges. Track record of successful research-to-product transitions. Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI). About us Welcome to Meesho, where every story begins with a spark of inspiration and a dash of entrepreneurial spirit. We're not just a platform we're your partner in turning dreams into realities. Curious about life at Meesho Explore our Glassdoor - our people have a lot to say and they've helped us become a loved workplace in India. Our Mission Democratising internet commerce for everyone - Meesho (Meri Shop) started with a single idea in mind: to be an e-commerce destination for Indian consumers and to enable small businesses to succeed online. We provide our sellers with benefits such as zero commission and affordable shipping solutions in the market. Today, sellers nationwide are growing their businesses by tapping into Meesho's large and diverse customer base, state-of-the-art tech infrastructure, and pan-India logistics network through trusted third-party partners. Affordable, relatable merchandise that mirrors local markets has helped us connect with internet users and serve customers across urban, semi-urban, and rural India. Our unique business model and continuous innovation have established us as a part of India's e-commerce ecosystem. Culture and Total Rewards Our focus is on cultivating a dynamic workplace characterized by high impact and performance excellence. We prioritize a people-centric culture, dedicated to hiring and developing exceptional talent. Total rewards at Meesho comprise a comprehensive set of elements - monetary, non-monetary, tangible, and intangible. Our 9 guiding principles, or Mantras, are the backbone of how we operate, influencing everything from recognition and evaluation to growth discussions. Daily rituals and processes like Problem First Mindset, Listen or Die, our Internal Mobility Program, Talent Reviews, and Continuous Performance Management embody these principles. We offer competitive compensation - both cash and equity-based - tailored to job roles, individual experience, and skill, along with employee-centric benefits and a supportive work environment. Our holistic wellness program, MeeCare, includes benefits across physical, mental, financial, and social wellness. This includes extensive medical insurance for employees and their families, wellness initiatives like telehealth, wellness events, and fitness-related perks. To support work-life balance, we offer generous leave policies, parental support, retirement benefits, and learning and development assistance. Through personalized recognition, gratitude for stretched work, and engaging activities, we promote employee delight at the workplace. Additional benefits such as salary advance support, relocation assistance, and flexible benefit plans further enrich the Meesho experience. Know more about Meesho here :

As a Senior AI Architect at Copper Digital in Gurugram, you will be responsible for leading the design of cutting-edge AI solutions, particularly focusing on Generative AI, RAG models, Computer Vision, and OpenCV. Your role will involve building scalable, AI-driven applications to address complex business challenges. Your key responsibilities will include designing and implementing Generative AI, RAG, and Agentic AI solutions. You should be proficient in LangChain, LlamaIndex, AutoGen, and Semantic Kernel. Additionally, you will be developing recommendation systems, predictive models, and computer vision solutions using CNNs and image processing techniques. You will lead the end-to-end AI lifecycle from POC/MVP to production, leveraging expertise in Python, TensorFlow, PyTorch, and cloud platforms such as AWS, Azure, and Google Cloud. Ensuring AI ethics and bias mitigation in model development is also a crucial aspect of your role. Desired skills for this position include a strong background in LLMs like GPT, BERT, LLaMA, and Bloom, as well as experience with classical AI methodologies such as decision trees, SVMs, and reinforcement learning. Proficiency in cloud and data management, along with excellent communication skills to effectively convey complex AI solutions to stakeholders, is highly valued. If you are ready to drive AI innovation, lead impactful projects, and contribute to the advancement of AI technology, we encourage you to apply for this exciting opportunity at Copper Digital in Gurgaon.,

Launch Ventures is a niche, award-winning technology company that co-creates products with industry partners who bring valuable expertise in the domain for which the product is intended. Working with a range of startups to Fortune 500 companies, Launch Ventures has successfully developed products that have achieved global scale and attracted investments from renowned entities like Google. Specializing in web, mobile, IoT, Blockchain, Cloud, and AI / ML based applications, Launch Ventures has a proven track record across multiple industry domains such as financial services, media, and e-commerce. At Launch Ventures, the focus is on building high-quality products with a strong emphasis on software craftsmanship. The mission and passion revolve around taking software products from concept to scale in a mature and responsible manner. It's not just about writing code; it's about launching ventures. Position: Odoo Functional Consultant and Implementation Lead Launch Ventures is seeking a skilled Functional Consultant & Implementation Lead with over 3 years of experience in end-to-end ERP implementation. The ideal candidate will possess hands-on expertise in Odoo, Python, and cloud infrastructure, coupled with outstanding problem-solving and communication skills. This position will be based in Phoenix, Arizona, USA, with relocation assistance provided. Candidates holding a valid H1B Visa or B1/B2 visa for the US are preferred. Key Responsibilities: - Lead end-to-end ERP implementation projects, encompassing requirement gathering, process mapping, customization, deployment, and post-go-live support. - Collaborate closely with business stakeholders to comprehend functional requirements and translate them into ERP solutions. - Customize and configure Odoo ERP to align with business needs. - Develop scripts and automation using Python to enhance ERP functionalities. - Oversee cloud infrastructure deployment to ensure scalability, security, and reliability of ERP solutions. - Deliver training and documentation for end-users to facilitate a seamless adoption of the ERP system. - Work in conjunction with technical teams, developers, and third-party vendors for integrations and custom module development. - Troubleshoot system issues and provide support for continuous enhancements. Required Skills & Qualifications: - 3+ years of experience in full-cycle ERP implementation, preferably with Odoo. - Proficient in Odoo framework, Python scripting, and Odoo module customization. - Prior exposure to Product Management, Business Development, or an entrepreneurial environment is essential. - Familiarity with cloud infrastructure (AWS, Azure, or Google Cloud) for ERP hosting. - Strong grasp of business processes across various domains like finance, supply chain, HR, and CRM. - Proficiency in SQL, PostgreSQL, and API integrations. - Excellent analytical and problem-solving abilities. - Outstanding communication, stakeholder management, and documentation skills. - Capability to lead teams, manage multiple projects, and work independently. Preferred Qualifications: - Odoo certification or relevant ERP certification. - Experience in DevOps practices for cloud-based ERP solutions. - Knowledge of front-end frameworks (JavaScript, XML) for UI customizations. If you have: - Understanding of MLOps principles and cloud platforms (AWS, GCP, Azure). - Familiarity with prompt engineering and reinforcement learning from human feedback (RLHF). - Experience in building real-time applications powered by generative AI. - Knowledge of distributed systems and scalable architectures. Job Location: This role will be based in Phoenix, Arizona, USA, with relocation support available.,

As an Optimization Scientist specializing in Route & Inventory Optimization (OR & RL) at our Hyderabad location, you will play a crucial role in transforming retail, FMCG, and logistics industries through cutting-edge technologies such as machine learning, operations research, and reinforcement learning. Your main objective will be to develop intelligent systems that automate decision-making processes across forecasting, inventory management, and transportation. In this internship role, you will work closely with experienced scientists and engineers to gain hands-on experience in applying machine learning, reinforcement learning, and operations research to tackle real-world logistics challenges. Your responsibilities will include assisting in Route Optimization Projects by modeling and solving simplified versions of Vehicle Routing Problems (VRP) using Python libraries like Pyomo and OR-Tools. Additionally, you will explore reinforcement learning methods such as DQN and PPO for dynamic routing decisions under uncertainty. You will also support Inventory Optimization Efforts by learning to model multi-echelon inventory systems and analyze historical data to optimize stock levels, service times, and demand variability. Furthermore, you will contribute to AI-Driven Decision Systems by integrating ML forecasting models with optimization pipelines and collaborating with the team to evaluate model performance using historical or synthetic datasets. To excel in this role, you should be currently pursuing or have recently completed a degree in Computer Science, Data Science, Operations Research, Industrial Engineering, or a related field. Proficiency in Python and key libraries like NumPy, Pandas, and Scikit-learn is essential, along with familiarity with basic optimization concepts and libraries such as OR-Tools or Gurobi. Knowledge of reinforcement learning frameworks like OpenAI Gym and Stable-Baselines3 will be advantageous, supported by strong problem-solving skills and a willingness to learn advanced AI/OR techniques. By joining our team, you will gain hands-on exposure to real-world AI and optimization use cases in logistics and supply chain management, receive mentorship from experienced scientists in OR, ML, and RL, and experience working in a fast-paced, applied research environment. There is also the opportunity to convert to a full-time role based on performance and business needs. WINIT, our organization, is a pioneer in mobile Sales Force Automation (mSFA) with over 25 years of experience, serving more than 600 global enterprises. We are committed to enhancing efficiency, streamlining logistics, and leveraging AI/ML to optimize sales operations, leading digital transformation in sales with a focus on innovation and global support.,

You should have a minimum of 1+ years of experience in AI-based application development. Your role will include fine-tuning pre-existing models to improve performance and accuracy, designing and implementing machine learning models, and optimizing model performance through experimentation and hyperparameter tuning. You must have experience with TensorFlow or PyTorch, as well as other deep learning architectures like CNNs, RNNs, and GANs. Familiarity with APIs such as OpenAI or Vertex AI is also required. Additionally, you should be proficient in Python and able to write optimized scripts for both relational and non-relational databases. As part of your responsibilities, you will need to test and validate AI models to ensure they meet quality standards and business objectives. You will also be developing and maintaining APIs using Python frameworks such as FastAPI, Flask, or Django to integrate AI capabilities into various systems. Continuous learning and professional development in AI and related technologies is essential for this role. You will collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure, as well as experience with version control systems like Git, is necessary. Experience with deploying models using Docker, Kubernetes, AWS Bedrock, and Sagemaker is a plus. Strong problem-solving skills are required to translate complex business problems into AI solutions effectively.,

We are seeking a highly skilled and motivated Senior Product Manager specializing in AI Solutions to join our expanding AI team. The ideal candidate will possess a profound understanding of Artificial Intelligence, encompassing both conceptual knowledge and coding expertise, along with a demonstrated track record of successfully implementing AI solutions to address business challenges. Your role will be pivotal in identifying and prioritizing AI-driven use cases, collaborating closely with internal business teams, and leading IT service providers to craft and deliver AI-powered solutions that foster business growth, streamline costs, and enhance processes. In this position, you will be responsible for shaping the AI strategy and vision by spearheading the identification of AI-driven use cases, concentrating on cost optimization, structured data management, and process transformation. You will collaborate with business leaders and stakeholders to outline AI product roadmaps aligned with business objectives. Furthermore, you will develop a profound understanding of business workflows and provide guidance on leveraging AI to optimize and innovate these processes. Your duties will also encompass overseeing the end-to-end delivery of AI products, from ideation to scaling, by collaborating with cross-functional teams and external IT service providers to ensure seamless project execution. You will be required to define clear requirements and KPIs for AI products to meet business goals and performance standards and lead the deployment of AI solutions that drive tangible business impact and operational efficiencies. Moreover, you will be responsible for ensuring that AI products are developed in a manner that optimizes data structuring, enabling the organization to work with high-quality, usable data for informed decision-making. Collaborating with data teams, you will ensure that AI solutions utilize appropriate datasets aligned with business needs and guide the transformation of business processes to capitalize on AI capabilities for exponential growth. In addition, you will coordinate with IT service providers and AI solution vendors to tailor and implement AI solutions addressing IIFL Home Loans" distinctive business challenges. Staying updated on the latest AI trends, you will evaluate their relevance to the organization and employ cutting-edge AI technologies to develop innovative solutions. Leading a team of AI specialists, you will provide guidance in product delivery, foster innovative problem-solving, and mentor junior team members to cultivate a culture of continuous learning and improvement. As for the qualifications, we are looking for candidates with a minimum of 6 years of work experience, including at least 3+ years in AI product delivery or hands-on experience in implementing AI solutions in a business context. A proven track record in leading AI product development, familiarity with AI technologies, and a strong understanding of applying AI to business processes are essential. Candidates should possess strong conceptual knowledge of AI and machine learning algorithms, practical experience in leveraging AI to solve complex business problems, and the ability to communicate technical concepts effectively to non-technical stakeholders. Educational qualifications include a degree in Artificial Intelligence or a related field, with graduates from Tier 1 or Tier 2 colleges being highly preferred. An MBA or similar business qualification is a plus but not mandatory. Hands-on experience in AI product development and familiarity with AI tools, platforms, and frameworks will be advantageous. If you meet these requirements and are passionate about leveraging AI to drive business growth and innovation, we encourage you to apply now.,

You are a Full Stack Data Science Architect at Hubnex Labs, responsible for leading the development of scalable AI products and reusable intellectual property for global enterprise clients. Your role involves deep technical expertise in AI/ML, data architecture, backend/frontend systems, and cloud-native technologies. As the AI & Data Science Leader, you will design and develop end-to-end AI/ML solutions for enterprise applications, architect data pipelines, and apply cutting-edge techniques in NLP, Computer Vision, Speech Recognition, and Reinforcement Learning. You will evaluate algorithms based on business impact, accuracy, and scalability, and design and optimize data preprocessing and feature engineering pipelines. In your role as a Full Stack & Cloud Architect, you will design cloud-native systems using microservices, serverless, and event-driven architectures. You will build robust APIs and UIs for intelligent applications using technologies like Python, Node.js, and React. Leveraging Docker, Kubernetes, and CI/CD pipelines, you will ensure scalable deployment and utilize technologies such as Kafka, TensorFlow, Elixir, Golang, and NoSQL/Graph DBs for high-performance ML products. Your responsibilities also include building reusable IP adaptable across industries, prototyping AI features, collaborating with product managers, and exploring new technologies to maintain a forward-looking tech stack. You should have at least 4+ years of experience in building and deploying AI/ML models, strong understanding of ML frameworks and data libraries, expertise in Python, and proficiency in DevOps practices and cloud platforms. Furthermore, you are expected to lead agile engineering teams, possess strong architectural thinking, an entrepreneurial mindset, and excellent communication skills. By joining Hubnex Labs, you will have the opportunity to architect impactful AI products, shape the data science foundation of a fast-scaling consulting powerhouse, and contribute to next-gen solutions in AI, cloud, and digital transformation. If you are passionate about AI/ML, data architecture, cloud-native technologies, and are looking for a challenging role in a creative and high-performance environment with long-term growth opportunities, Hubnex Labs is the place for you.,

As an AI Developer at our company in Hyderabad, you will play a crucial role in driving innovation in artificial intelligence and machine learning. Your primary responsibilities will include developing, deploying, and optimizing AI models for various applications while collaborating closely with data scientists, engineers, and business teams. You should be proficient in Python with a strong grasp of frameworks like TensorFlow, PyTorch, and Scikit-learn. Experience in NLP, Computer Vision, or Reinforcement Learning would be preferred. A solid background in data preprocessing, feature engineering, and model tuning is essential. Knowledge of cloud platforms such as AWS, GCP, and Azure for AI model deployment is required, along with familiarity in MLOps, CI/CD pipelines, and AI model monitoring. Additionally, you should have a good understanding of databases, APIs, and software development best practices. In terms of soft skills, you should possess strong analytical and problem-solving abilities, alongside the capacity to work both independently and collaboratively in a team setting. Excellent communication and documentation skills are also essential for this role. Preferred qualifications include experience with LLMs and Generative AI, understanding of Graph Neural Networks, Transformers, or AutoML, exposure to Big Data Technologies like Spark and Hadoop, and knowledge in AI ethics and explainability. The ideal candidate for this position should hold a B-tech/M.C.A/M.Sc. degree in AI, Machine Learning, or a related field, along with a minimum of 3 years of experience in AI/ML development. This is a full-time, permanent position with a competitive salary package offered by our company. We operate in the IT-Software / Software Services industry and are known for our commitment to excellence and innovation. Established in 1984, our company is focused on the American region and is expanding into a healthcare informatics platform for medical and pharma professionals worldwide. Over the years, we have garnered endorsements from prestigious medical associations and industries, earning a stellar reputation within the scientific and industrial community. Join us and be part of a team that is bridging relations between industries and practicing physicians across continents.,