12113 Ml Jobs - Page 47

Position : AI Engineer Location: Trivandrum (Remote or Hybrid ) Type: Full-time Start Date: Immediate Company : Turilytix.ai About the Role : As an AI Engineer at Turilytix, you’ll build real-time machine learning systems that power BIG-AI , our no-code platform used in paper, supply chain, and IT operations. Help deploy ML in the real world no sandbox, no limits. Responsibilities : • Design and deploy time-series and anomaly detection models • Build scalable pipelines for streaming and batch predictions • Integrate ML models into live product environments • Optimize models for on-prem or cloud deployments Required Skills : • Python (NumPy, Pandas, Scikit-learn) • Time-series ML, classification, regression • ML Ops tools: MLFlow, Docker, FastAPI • OS: Linux • Bonus: Edge AI, Git, ONNX, Kubernetes What You Get : • Real-world AI use cases • Fast-paced learning and ownership • Hybrid flexibility, global impact Apply at: hr@turilytix.ai Show more Show less

The Role As a Senior Software Engineer , you will play a pivotal role in designing, developing, and optimizing BotPenguin’s AI chatbot & Agents platform. You’ll collaborate with product managers, tech leads, and customer success teams to develop robust backend APIs, integrate with frontend applications, and enhance system performance. You will also be responsible for conducting code reviews, mentoring junior developers, and ensuring high software quality standards. This role offers exciting opportunities to build impactful AI-driven solutions and shape the future of conversational automation. What you need for this role Education: Bachelor's degree in Computer Science, IT, or related field. Experience: 3-6 years in software development roles. Technical Skills: Strong understanding of MEAN/MERN Stack technologies. Experience in software architecture planning and low-level design. Ability to create and implement scalable, high-performance solutions. Hands-on experience in backend API development & UI integration. Familiarity with cloud platforms like AWS and containerisation (Docker, Kubernetes). Understanding of AI/ML concepts in development. Knowledge of version control tools like GitLab/GitHub and project management tools like Notion . Soft Skills: Strong analytical mindset, leadership skills, and a passion for mentoring junior developers. What you will be doing Collaborate with the Product Team to plan and implement technical solutions for new features. Work closely with Technical Leads & Senior Developers to define software architecture and create low-level designs. Conduct code reviews to ensure adherence to best practices and coding standards. Develop backend APIs and integrate them with frontend applications. Conduct automated unit & integration testing to ensure high code quality. Document technical processes, APIs, and troubleshooting guides. Monitor system performance and suggest improvements to optimize efficiency. Assist the Customer Success Team in resolving technical challenges and enhancing user experience. Mentor junior engineers, providing guidance on best practices and career growth. Any other task relevant to the product that may be needed. Top reasons to work with us Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹1,200,000.00 - ₹1,800,000.00 per year Benefits: Health insurance Leave encashment Provident Fund Schedule: Day shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: Software engineer: 3 years (Required) Work Location: In person

The Role- As a Product Technical Lead , you will act as the bridge between the product vision and technical execution. You will lead product architecture discussions, define technical roadmaps, and guide engineering teams to deliver high-performance, scalable solutions for our AI chatbot platform – BotPenguin. This is a high-impact role that demands strategic thinking, hands-on development expertise, and leadership skills to align cross-functional teams toward product success. You will be closely working with product managers, senior engineers, AI experts, and business stakeholders. You will also be responsible for conducting code reviews, mentoring junior developers, and ensuring high software quality standards. This role offers exciting opportunities to build impactful AI-driven solutions and shape the future of conversational automation. What you need for this role- Education: Bachelor's degree in Computer Science, IT, or related field. Experience: 5 + years of experience in software engineering with at least 2+ years in a technical leadership role. Technical Skills: Proven experience in scalable system design and product architecture . Strong understanding of MEAN/MERN Stack technologies. Experience in software architecture planning and low-level design. Ability to define and implement product-level architectural patterns. Ability to create and implement scalable, high-performance solutions. Hands-on experience in backend API development & UI integration. Familiarity with cloud platforms like AWS and containerisation (Docker, Kubernetes). Understanding of AI/ML concepts in development. Knowledge of version control tools like GitLab/GitHub and project management tools like Notion . Soft Skills : Strong analytical mindset, leadership skills, and a passion for mentoring junior developers. What you will be doing- Lead technical architecture design and roadmap planning for BotPenguin’s core platform. Work alongside the Product Manager to align product vision with technical execution. Collaborate with engineering teams to translate product requirements into scalable solutions . Design and develop core modules of the platform, especially those related to automation, chat assignment, analytics, and multi-agent support . Implement and enforce technical best practices , coding guidelines, and documentation standards. Evaluate and integrate LLM models, AI agents , and automation tools as per evolving product needs. Ensure performance, security, and scalability of applications across global deployments. Support Customer Success and QA teams with technical issue resolution and RCA . Drive technical discussions, conduct code reviews, and ensure timely feature delivery. Foster a culture of continuous improvement, collaboration, and innovation within the tech team. Collaborate with the Product Team to plan and implement technical solutions for new features. Work closely with Technical Leads & Senior Developers to define software architecture and create low-level designs. Conduct code reviews to ensure adherence to best practices and coding standards. Develop backend APIs and integrate them with frontend applications. Conduct automated unit & integration testing to ensure high code quality. Document technical processes, APIs, and troubleshooting guides. Monitor system performance and suggest improvements to optimize efficiency. Assist the Customer Success Team in resolving technical challenges and enhancing user experience. Mentor junior engineers, providing guidance on best practices and career growth. Any other task relevant to the product that may be needed. Top reasons to work with us- Lead the architecture and evolution of a fast-growing AI product used globally. Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹1,800,000.00 - ₹2,000,000.00 per year Benefits: Flexible schedule Health insurance Leave encashment Provident Fund Schedule: Day shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: Technical leadership: 2 years (Required) AWS: 2 years (Required) MERN/MEAN: 3 years (Required) Work Location: In person

The Role As a Software Engineer , you will play a pivotal role in designing, developing, and optimizing BotPenguin’s AI chatbot & Agents platform. You’ll collaborate with product managers, senior engineers, and customer success teams to develop robust backend APIs, integrate with frontend applications, and enhance system performance. This role offers exciting opportunities to build impactful AI-driven solutions and shape the future of conversational automation. What you need for this role Education: Bachelor's degree in Computer Science, IT, or related field. Experience: 1-3 years in software development roles. Technical Skills: Strong understanding of MEAN/MERN Stack technologies. Experience in designing and deploying end-to-end solutions. Hands-on experience in backend API development & UI integration. Familiarity with cloud platforms like AWS and containerization (Docker, Kubernetes). Understanding of AI/ML concepts in development. Knowledge of version control tools like GitLab/GitHub and project management tools like Notion . Soft Skills: Willingness to build something big, Strong problem-solving mindset, proactive approach, and a willingness to learn. What you will be doing Collaborate with the Product Team to plan and implement new features. Work alongside Technical Leads & Senior Developers to define solutions & low-level design. Develop backend APIs and integrate them with frontend applications. Conduct automated unit & integration testing to ensure high code quality. Document technical processes, APIs, and troubleshooting guides. Monitor system performance and suggest improvements to optimize efficiency. Assist the Customer Success Team in resolving technical challenges and enhancing user experience. Top reasons to work with us Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹200,000.00 - ₹600,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Work Location: In person

📍 Location: Remote 💼 Type: Internship (Unpaid) 🕒 Duration: Flexible (Learn at your own pace!) 📅 Application Deadline: 7th June 2025 📊 About TechNest Intern TechNest Intern , we are committed to helping learners move beyond theory by providing a practical, remote-first internship experience in the field of Data Science . This program is specially designed for students and freshers looking to apply their analytical skills on real datasets , develop ML models , and understand how data powers smart decisions in today’s world. 🚀 💼 Role: Data Science Intern Curious about the patterns behind the numbers? Want to work with data that drives real impact? This role is perfect for aspiring data scientists who want to get hands-on with data cleaning, analysis, machine learning, and storytelling. You’ll work on mini-projects, gain mentorship, and explore tools like Python, Pandas, and scikit-learn, while also improving your data visualization and communication skills. 📌 Key Responsibilities 📊 Collect, clean, and explore real-world datasets 📈 Perform Exploratory Data Analysis (EDA) to find trends and insights 🤖 Build basic Machine Learning models using libraries like scikit-learn 📚 Work with tools like NumPy, Pandas, Matplotlib, Seaborn, Jupyter 🧠 Understand feature engineering, model evaluation, and tuning 🗂️ Present insights through charts, notebooks, or dashboards 🔍 Learn and apply statistical thinking to solve problems 👥 Who Should Apply? 🎓 Students or recent graduates with interest in Data Science / Analytics 💡 Individuals familiar with Python and basic statistics 📉 Learners who enjoy working with numbers and uncovering patterns 🧠 Problem-solvers looking to turn data into meaningful stories 🚀 Beginners who want to build a portfolio-ready data project 🎁 Perks & Learning Outcomes 📜 Official Offer Letter & Certificate of Completion 🌍 Remote & Flexible Schedule — no fixed hours, learn your way 💻 Project-Based Learning — build a strong data science portfolio 🧠 Learn tools like Pandas, NumPy, Matplotlib, Seaborn, scikit-learn, Power BI 📊 Get mentorship in EDA, Machine Learning, and Data Storytelling 🏆 ✨ New! "Intern of the Week Certificate" — awarded weekly to interns showing outstanding effort, innovation, and growth 🎯 Gain exposure to how real-world data challenges are tackled in tech and business 🚀 How to Apply 📩 Ready to dive into data and level up your skills? Submit your application and start your journey to becoming a data-driven decision maker ! Show more Show less

About Oration AI Oration AI builds fully AI-powered contact centers that transform customer service. Our AI agents handle voice, email, and chat interactions with natural conversations that solve real problems. We're a team of 7 innovators with a track record of successful AI ventures in Europe and India. We're working with cutting-edge technology that's already serving major enterprises. This is an incredibly exciting time to join Oration AI. This is an incredibly exciting time to join Oration AI. You'll be: Working directly with the latest AI innovations and technologies Learning from a team of experienced founders with successful exits Contributing to a product that's already serving major enterprises Growing your career in a fast-paced, innovative environment Making a real impact in shaping the future of customer service Getting hands-on experience with technologies that will define the next decade Role Overview We are looking for a dynamic Growth Marketer who can drive our go-to-market strategy and help scale our enterprise AI solution. This role is perfect for someone who combines analytical thinking with creative marketing skills and has a passion for B2B SaaS growth. Key Responsibilities Develop and execute growth marketing strategies and experiments to reach enterprise customers Create compelling product marketing content that resonates with enterprise decision-makers Create and run effective lead generation programs. Develop case studies and success stories from existing customers. Help shape our product messaging and positioning. Required Skills Experience in B2B marketing, preferably in SaaS or AI/ML space Hands on experience with prompt engineering and using AI tools for marketing and content creation Excellent copywriting and content creation abilities and experience in creating compelling presentations and sales collateral Experience in running marketing experiments Qualifications 1-5 years of experience in growth marketing or product marketing Experience with B2B software marketing is a plus Perks Above market pay Company provides you with a top end MacBook Responsibility driven work culture No strict office timings or leave policy Location Indore, India No work-from-home policy Show more Show less

Proficiency in ML frameworks (e.g., TensorFlow, PyTorch). Experience with natural language processing (NLP) and large language models (LLMs). Understanding of generative models and their applications. Proficiency in programming languages such as Python, Go, or Java. Experience in developing APIs and integrating AI models into existing systems. Familiarity with containerization tools (e.g., Docker, Kubernetes). Experience with (CI/CD) pipelines and databases or data lakes, and/or real-time data processing frameworks. Show more Show less

Strategic Sales/Business Development Manager - Data, AI & Digital Engineering About NutaNXT: NutaNXT is a next-gen AI-first Digital Product Engineering services provider with a singular focus on building innovative products using AI/ML, Data, Predictive Analytics, and Cloud technologies. Our mission is to partner with our clients(primarily AI and Data Product companies in the US and Europe) leverage our specialized AI-driven Digital Product Engineering capabilities, Snowflake Data Engineering, IP/platforms, software tools, and automation frameworks to build best-in-class products and stay ahead of the curve. We are expanding our market-facing teams with this exciting role which offers the right Business Development professional an opportunity to contribute to rapid growth of our business driven by customer demand and significant market opportunities to fast track growth with the organization. • Role: Strategic Sales/Business Development Manager - Data, AI & Digital Engineering • Experience: 3 - 6 Years • Location: Pune office(Hybrid) Summary: NutaNXT is looking for a result oriented and experienced Strategic Sales/Business Development Manager for our rapidly growing team. Should be experienced in hunting for new opportunities within focused large accounts and have proven experience in generating new business pipeline, networking with key client decision-makers and driving closure of business. NutaNXT has established itself as a leading product-focused Digital Engineering company and built unique capabilities and teams who collaborate with clients primarily in the US and Europe to build innovative AI-first software products. As we look to accelerate our growth, this role provides an ideal platform for the right individual to accelerate our sales footprint and grow with the organization. Ideal candidate shall be an entrepreneurial, energetic, self-starter with a focus on taking a collaborative approach with clients to solve their business challenges and create new opportunities for revenue. Must have experience building strong client relationships, build and execute sales strategies, account plans, manage a portfolio of new accounts and/or building a business development team around them as the business grows. Job Description: Responsibilities: • Work closely with delivery, marketing and technical team to build the sales plan and prepare client-centric value propositions for global(primarily US, Europe) client opportunities across Digital Product Engineering domain. • Build strong relationships and apply a range of client prospecting and account mapping strategies within specific verticals and target accounts (CPG, Healthcare, Industry 4.0, etc) to create a strong pipeline of new business opportunities. • Ability to drive multiple opportunities, prioritize and progress the client conversations through the sales cycle proposals, negotiations, contract closure and revenue. • Achieve assigned sales targets with focused efforts put into various strategies ranging from account mapping, mining and retaining existing clients to aggressive prospecting of specific new accounts, where you see large opportunities for growth. • Gather and analyze key trends and market intelligence to build insights that can be valuable in wining key business opportunities across Data Engineering, Analytics, AI/ML, Cloud and Application Development, etc. • Responsible for understanding the client's needs and preferences, introducing NutaNXT services accordingly, adapting the value proposition as required and driving the meetings with key decision makers to progress sales cycle(Deal Closure) • Experience running targeted Business Development process across geographies by engaging and qualifying the right prospects and driving key client wins in the US and European markets. • Collaborate and support teams as required on sales presentations, collateral and lead-gen process with industry best-practices and sales/lead generation tools. Experience and Key Requirements Proven experience in Sales, Business Development or Account Management roles with consistent track record of achieving sales targets in a similar industry. Strategic and analytical mindset with an ability to simplify complex concepts and articulate our value proposition to senior technical and business audiences. Demonstrated ability to collaborate with internal and client teams to achieve common goals, solve business or technology problems for clients to build business. Relevant experience in growing sales within a similar environment or industry focused on Digital, Data, AI and Cloud solutions and capabilities is ideal. Exceptional communication skills and ability to multi-task and prioritize sales opportunities. MBA, BE Comp Science or equivalent with 3-6 years of experience in customer facing roles. Additional Information: As a leading Snowflake and AI-driven Product Engineering company, NutaNXT Technologies offers a compelling and rewarding work environment with a strong focus on technology innovation, collaboration, and excellence with clients in all our practice areas. We offer market competitive salaries, bonuses, benefits, meaningful growth, and team-empowered culture with technically challenging, achievement- driven opportunities which helps shape your long-term career growth. Join our growing, dynamic, entrepreneurial engineering team and become part of our continuing Data and Digital growth journey. What sets NutaNXT apart is its vision for the future with Data, Snowflake and AI at the core and the opportunities this is creating for us to innovate and create an impact. Show more Show less

About Sanofi We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions. Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions that will accelerate Manufacturing & Supply performance and help bring drugs and vaccines to patients faster, to improve health and save lives. Who You Are: You are a dynamic Data Engineer interested in challenging the status quo to design and develop globally scalable solutions that are needed by Sanofi’s advanced analytic, AI and ML initiatives for the betterment of our global patients and customers. You are a valued influencer and leader who has contributed to making key datasets available to data scientists, analysts, and consumers throughout the enterprise to meet vital business use needs. You have a keen eye for improvement opportunities while continuing to fully comply with all data quality, security, and governance standards. Our vision for digital, data analytics and AI Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means: AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. Leading Edge Tech Stack: Experience building products that will be deployed globally on a leading-edge tech stack. World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets There are multiple vacancies across our Digital profiles and NA region. Further assessments will be completed to determine specific function and level of hired candidates. Job Highlights Propose and establish technical designs to meet business and technical requirements Develop and maintain data engineering solutions based on requirements and design specifications using appropriate tools and technologies Create data pipelines / ETL pipelines and optimize performance Test and validate developed solution to ensure it meets requirements Create design and development documentation based on standards for knowledge transfer, training, and maintenance Work with business and products teams to understand requirements, and translate them into technical needs Adhere to and promote to best practices and standards for code management, automated testing, and deployments Leverage existing or create new standard data pipelines within Sanofi to bring value through business use cases Develop automated tests for CI/CD pipelines Gather/organize large & complex data assets, and perform relevant analysis Conduct peer reviews for quality, consistency, and rigor for production level solution Actively contribute to Data Engineering community and define leading practices and frameworks Communicate results and findings in a clear, structured manner to stakeholders Remains up to date on the company’s standards, industry practices and emerging technologies Key Functional Requirements & Qualifications Experience working cross-functional teams to solve complex data architecture and engineering problems Demonstrated ability to learn new data and software engineering technologies in short amount of time Good understanding of agile/scrum development processes and concepts Able to work in a fast-paced, constantly evolving environment and manage multiple priorities Strong technical analysis and problem-solving skills related to data and technology solutions Excellent written, verbal, and interpersonal skills with ability to communicate ideas, concepts and solutions to peers and leaders Pragmatic and capable of solving complex issues, with technical intuition and attention to detail Service-oriented, flexible, and approachable team player Fluent in English (Other languages a plus) Key Technical Requirements & Qualifications Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field 4 to 5+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools, such as Spark/Scala, Informatica/IICS/Dbt Understanding of data structures and algorithms Working knowledge of scripting languages (Python, Shell scripting) Experience in cloud-based data platforms (Snowflake is a plus) Experience with job scheduling and orchestration (Airflow is a plus) Good knowledge of SQL and relational databases technologies/concepts Experience working with data models and query tuning Nice To Haves Experience working in life sciences/pharmaceutical industry is a plus Familiarity with data ingestion through batch, near real-time, and streaming environments Familiarity with data warehouse concepts and architectures (data mesh a plus) Familiarity with Source Code Management Tools (GitHub a plus) Pursue Progress Discover Extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. Watch our ALL IN video and check out our Diversity, Equity and Inclusion actions at sanofi.com! null Show more Show less

Job Description We are seeking an experienced Senior Software Engineer (SSE) with a strong background in the MERN Stack (MongoDB, Express.js, React.js, Node.js) to join our dynamic development team. The ideal candidate will play a key role in designing, developing, and maintaining scalable web applications and services. Skills & Requirements Skills Candidate with 3 to 8 Years of experience in MERN Stack. Design, develop, and maintain full-stack applications using the MERN stack. Build RESTful APIs and microservices with Node.js & Express/NestJS . Optimize application performance and SEO. Integrate third-party services (Google APIs, Stripe, AWS, Firebase, etc.). Write clean, testable code and enforce best practices via code reviews. Lead small teams, estimate work, and communicate with clients. Collaborate with DevOps, UI/UX, and QA teams for smooth delivery. Contribute to AI/ML tool integration for enhanced development workflows. Roles & Responsibilities Design and document end-to-end workflows and feature requirements. Provide innovative solutions to technical challenges and problem statements. Independently design, develop, implement, and support scalable software components. Analyze complex issues and implement efficient, long-term solutions. Participate in task planning, estimation, and architecture decisions. Ensure adherence to best development practices, including code reviews and security audits. Lead and mentor junior engineers; provide guidance through coaching and training. Collaborate with architects, DevOps, UI/UX, testers, and product stakeholders. Communicate effectively with clients and cross-functional teams. Stay updated with new technologies and integrate AI/ML tools for productivity and innovation. (ref:hirist.tech) Show more Show less

Process9 is India’s leading language technology company, poised for major growth in the domestic and global geographies, to vie for global leadership in the language technology space. Process9 is the next Unicorn candidate to watch out for. Language services is a $50 billion global industry, while the language market in India is growing by over 30% year-on-year. Process9 is bringing Multilingual Transformation to Enterprises, to make their Digital Transformation complete and scalable. More than 80% of the Indian population is not English-savvy, whereas over 98% of Internet content in India is in English. The need for local language content in India is growing like wildfire. Process9 intends to meet the language needs of the industry and Govt to capture a large share of this unmet need. Being a B2B and SaaS based software company, we develop middleware application platforms for language localization of websites, mobile apps, enterprise applications, digital transaction journeys, digital documents and much more. We develop the best-in-class Natural Language Processing (NLP) software using AI/ML technologies for translation, language processing, and voice applications for Indian and global languages that are used by hundreds of leading enterprises in India and now attracting global users on the Internet and Smartphones. Being a Fast-growing Company, We Expect To Grow Our Revenues By More Than 150% Year-on-year For The Next 3-4 Years. Some Of The Specific Areas Of Focus For The Company In The Next 12-24 Months Are Enhance technology platforms and services for global competition Expand the product portfolio and language coverage to include more industry segments Enter large global markets such as North America, Europe, West Asia, Japan, etc Provide world-class customer service. We’re looking to add innovative, ambitious, passionate, and energetic teams across various functions of the company to help the company meet and exceed its business objectives. For more information, please visit our website: https://process9.com/ Position : Business Development Manager Location : Mumbai (WFH + In-field in Mumbai) Job Responsibilities Responsible for sales of software products Develop excellent insights into the target market segments and geographies Create business proposals for new and existing opportunities Regularly track competition and general market activities Effective account mapping and networking at all levels within customer organizations Achieve and exceed budgeted sales Establish relationship with customers to maximize retention Identify opportunities with existing customers to get repeat business from them Desired Profile Degree in Business Management is desirable but not necessary 4-8 years of direct or partner sales experience Excellent communication skills and a good understanding of B2B sales Ambitious & energetic candidates are preferred Ability to quickly learn about new technologies Prior experience in IT/Software product sales in India or abroad will be preferred Strong account management and relationship-building skills Passionate, innovative, and able to function independently Ability to use contacts to generate new leads Excellent team player Show more Show less

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Press Tab to Move to Skip to Content Link Skip to main content Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook Search by Keyword Search by Location Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook View Profile Employee Login Search by Keyword Search by Location Show More Options Loading... Requisition ID All Skills All Select How Often (in Days) To Receive An Alert: Create Alert Select How Often (in Days) To Receive An Alert: Apply now » Apply Now Start apply with LinkedIn Please wait... Automation Engineer Job Date: May 16, 2025 Job Requisition Id: 61017 Location: Pune, IN Pune, MH, IN YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire Selenium Professionals in the following areas : Job Description: RRF Name - Automation Engineer Job Summary: We are seeking a skilled Automation Specialist with 8+ years of hands-on experience in designing and implementing automation frameworks. The ideal candidate will have deep expertise in Python, Selenium, backend and API automation, and a strong grounding in object-oriented programming. Proficiency with AWS Cloud services and automation on cloud infrastructure is essential. Exposure to Agile environments is required, while experience or interest in AI/ML, MLOps, or RPA tools is a strong plus. Key Responsibilities: Design, develop, and maintain robust and scalable automation frameworks. Build and enhance automation for frontend, backend, and API layers. Develop cloud-based automation solutions and optimize workflows on AWS cloud services. Collaborate with cross-functional Agile teams to define automation strategies and integrate automation into CI/CD pipelines. Write clear, maintainable, and efficient automation scripts using Python and Selenium. Use Shell scripting to automate system-level tasks and support test environments. Contribute to the continuous improvement of automation practices, coding standards, and development processes. Conduct code reviews and mentor junior automation engineers. Must-Have Skills: Strong hands-on experience with automation frameworks (custom or open-source). Expertise in Python programming. Proficient in Selenium WebDriver for UI automation. Solid understanding and hands-on experience with backend automation and API testing (e.g., REST, Postman, Swagger, etc.). Strong Shell scripting skills for task automation and system operations. Excellent understanding of OOP concepts and design patterns. Proficiency in AWS cloud services (e.g., EC2, Lambda, S3, CloudWatch, etc.) and automation on cloud infrastructure. Experience working in Agile/Scrum teams with familiarity in Agile testing practices. Good understanding of CI/CD tools and processes (e.g., Jenkins, GitLab, etc.). Nice To Have: Exposure to AI/ML workflows and MLOps concepts. Experience with Robotic Process Automation (RPA) tools (e.g., UiPath, Automation Anywhere). Familiarity with Groovy scripting, especially in Jenkins pipelines. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Self-motivated with a passion for quality, learning, and innovation. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture Apply now » Apply Now Start apply with LinkedIn Please wait... Find Similar Jobs: Careers Home View All Jobs Top Jobs Quick Links Blogs Events Webinars Media Contact Contact Us Copyright © 2020. YASH Technologies. All Rights Reserved. Show more Show less

Job Title : Data Scientist - Computer Vision & Generative AI. Location : Mumbai. Experience Level : 3 to 4 years. Employment Type : Full-time. Industry : Renewable Energy / Solar Services. Job Overview We are seeking a talented and motivated Data Scientist with a strong focus on computer vision, generative AI, and machine learning to join our growing team in the solar services sector. You will play a pivotal role in building AI-driven solutions that transform how solar infrastructure is analyzed, monitored, and optimized using image-based intelligence. From drone and satellite imagery to on-ground inspection photos, your work will enable intelligent automation, predictive analytics, and visual understanding in critical areas like fault detection, panel degradation, site monitoring, and more. If you're passionate about working at the cutting edge of AI for real-world sustainability impact, we'd love to hear from you. Key Responsibilities Design, develop, and deploy computer vision models for tasks such as object detection, classification, segmentation, anomaly detection, etc. Work with generative AI techniques (e.g. , GANs, diffusion models) to simulate environmental conditions, enhance datasets, or create synthetic training data. Build ML pipelines for end-to-end model training, validation, and deployment using Python and modern ML frameworks. Analyze drone, satellite, and on-site images to extract meaningful insights for solar panel performance, wear-and-tear detection, and layout optimization. Collaborate with cross-functional teams (engineering, field ops, product) to understand business needs and translate them into scalable AI solutions. Continuously experiment with the latest models, frameworks, and techniques to improve model performance and robustness. Optimize image pipelines for performance, scalability, and edge/cloud deployment. Key Requirements 3-4 years of hands-on experience in data science, with a strong portfolio of computer vision and ML projects. Proven expertise in Python and common data science libraries : NumPy, Pandas, Scikit-learn, etc. Proficiency with image-based AI frameworks : OpenCV, PyTorch or TensorFlow, Detectron2, YOLOv5/v8, MMDetection, etc. Experience with generative AI models like GANs, Stable Diffusion, or ControlNet for image generation or augmentation. Experience building and deploying ML models using MLflow, TorchServe, or TensorFlow Serving. Familiarity with image annotation tools (e.g. , CVAT, Labelbox), and data versioning tools (e.g. , DVC). Experience with cloud platforms (AWS, GCP, or Azure) for storage, training, or model deployment. Experience with Docker, Git, and CI/CD pipelines for reproducible ML workflows. Ability to write clean, modular code and a solid understanding of software engineering best practices in AI/ML projects. Strong problem-solving skills, curiosity, and ability to work independently in a fast-paced environment. Bonus / Preferred Skills Experience with remote sensing and working with satellite or drone imagery. Exposure to MLOps practices and tools like Kubeflow, Airflow, or SageMaker Pipelines. Knowledge of solar technologies, photovoltaic systems, or renewable energy is a plus. Familiarity with edge computing for vision applications on IoT devices or drones. (ref:hirist.tech) Show more Show less

Why CDM Smith? Check out this video and find out why our team loves to work here! Join Us! CDM Smith – where amazing career journeys unfold. Imagine a place committed to offering an unmatched employee experience. Where you work on projects that are meaningful to you. Where you play an active part in shaping your career journey. Where your co-workers are invested in you and your success. Where you are encouraged and supported to do your very best and given the tools and resources to do so. Where it’s a priority that the company takes good care of you and your family. Our employees are the heart of our company. As an employer of choice, our goal is to provide a challenging, progressive and inclusive work environment which fosters personal leadership, career growth and development for every employee. We value passionate individuals who challenge the norm, deliver world-class solutions and bring diverse perspectives. Join our team, and together we will make a difference and change the world. Job Description CDM Smith is seeking an Artificial Intelligence/Machine Learning Engineer to join our Digital Engineering Solutions team. This individual will be part of the Data Technology group within the Digital Engineering Solutions team, helping to drive strategic Architecture, Engineering and Construction (AEC) initiatives using cutting-edge data technologies and analytics to deliver actionable business insights and robust solutions for AEC professionals and client outcomes. The Data Technology group will lead the firm in AEC-focused Business Intelligence and data services by providing architectural guidance, technological vision, and solution development. The Data Technology group will specifically utilize advanced analytics, data science, and AI/ML to give our business and our products a competitive advantage. It includes understanding and managing the data, how it interconnects, and architecting & engineering data for self-serve BI and BA opportunities. This position is for a person who has demonstrated excellence in AI/ML engineering capabilities, experienced with data technology and processes, and enjoys framing a problem, shaping, and creating solutions, and helping to lead and champion implementation. As a member of the Digital Engineering Solutions team, the Data Technology group will also engage in research and development and provide guidance and oversight to the AEC practices at CDM Smith, engaging in new product research, testing, and the incubation of data technology-related ideas that arise from around the company. Key Responsibilities Contributes to advanced analytics and uses artificial intelligence (AI) and machine learning (ML) solution techniques that address complex business challenges, particularly within the AEC domain. Apply state-of-the-art algorithms and techniques such as deep learning, NLP, computer vision, and time-series analysis for domain-specific use cases. Analyzes large datasets to identify patterns and trends. Participates in the testing and validation of AI model accuracy and reliability to ensure models perform in line with business requirements and expectations. Assist with AI/ML workflows optimization by implementing MLOps practices, including CI/CD pipelines, model retraining, and version control. Collaborate with Data Engineers, Data Scientists, and other stakeholders to design and implement end-to-end AI/ML solutions. Stay abreast of the latest developments and advancements, including new and emerging technologies & best practices and new tools & software applications and how they could impact CDM Smith. Assist with the development of documentation, standards, best practices, and workflows for data technology hardware/software in use across the business. Performs other duties as required. Skills And Abilities Good understanding of the software development life cycle. Basic experience with building and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Basic experience with cloud-based AI/ML services, particularly in Microsoft Azure and Databricks. Basic experience with programming languages (ex: R, Python, Scala, etc.). Knowledge of MLOps practices, including automated pipelines, model versioning, monitoring, and lifecycle management. Knowledge of data privacy, security, and ethical AI principles, ensuring compliance with relevant standards. Excellent problem-solving and critical thinking skills to identify and address technical challenges effectively. Strong critical thinking skills to generate innovative solutions and improve business processes. Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Detail oriented with the ability to assist with executing highly complex or specialized projects. Minimum Qualifications Bachelor’s degree. 0 – 2 years of related experience. Equivalent additional related experience will be considered in lieu of a degree. Amount Of Travel Required 0% Background Check and Drug Testing Information CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as “CDM Smith”) reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing. Agency Disclaimer All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee. Business Unit COR Group COR Assignment Category Fulltime-Regular Employment Type Regular Show more Show less

Position Title : AI/ML Engineer. Company : Cyfuture India Pvt.Ltd. Industry : IT Services and IT Consulting. Location : Sector 81, NSEZ, Noida (5 Days Work From Office). About Cyfuture Cyfuture is a trusted name in IT services and cloud infrastructure, offering state-of-the-art data center solutions and managed services across platforms like AWS, Azure, and VMWare. We are expanding rapidly in system integration and managed services, building strong alliances with global OEMs like VMWare, AWS, Azure, HP, Dell, Lenovo, and Palo Alto. Position Overview We are hiring an experienced AI/ML Engineer to lead and shape our AI/ML initiatives. The ideal candidate will have hands-on experience in machine learning and artificial intelligence, with strong leadership capabilities and a passion for delivering production-ready solutions. This role involves end-to-end ownership of AI/ML projects, from strategy development to deployment and optimization of large-scale systems. Key Responsibilities Lead and mentor a high-performing AI/ML team. Design and execute AI/ML strategies aligned with business goals. Collaborate with product and engineering teams to identify impactful AI opportunities. Build, train, fine-tune, and deploy ML models in production environments. Manage operations of LLMs and other AI models using modern cloud and MLOps tools. Implement scalable and automated ML pipelines (e., with Kubeflow or MLRun). Handle containerization and orchestration using Docker and Kubernetes. Optimize GPU/TPU resources for training and inference tasks. Develop efficient RAG pipelines with low latency and high retrieval accuracy. Automate CI/CD workflows for continuous integration and delivery of ML systems. Key Skills & Expertise Cloud Computing & Deployment : Proficiency in AWS, Google Cloud, or Azure for scalable model deployment. Familiarity with cloud-native services like AWS SageMaker, Google Vertex AI, or Azure ML. Expertise in Docker and Kubernetes for containerized deployments. Experience with Infrastructure as Code (IaC) using tools like Terraform or CloudFormation. Machine Learning & Deep Learning Strong command of frameworks : TensorFlow, PyTorch, Scikit-learn, XGBoost. Experience with MLOps tools for integration, monitoring, and automation. Expertise in pre-trained models, transfer learning, and designing custom architectures. Programming & Software Engineering Strong skills in Python (NumPy, Pandas, Matplotlib, SciPy) for ML development. Backend/API development with FastAPI, Flask, or Django. Database handling with SQL and NoSQL (PostgreSQL, MongoDB, BigQuery). Familiarity with CI/CD pipelines (GitHub Actions, Jenkins). Scalable AI Systems Proven ability to build AI-driven applications at scale. Handle large datasets, high-throughput requests, and real-time inference. Knowledge of distributed computing : Apache Spark, Dask, Ray. Model Monitoring & Optimization Hands-on with model compression, quantization, and pruning. A/B testing and performance tracking in production. Knowledge of model retraining pipelines for continuous learning. Resource Optimization Efficient use of compute resources : GPUs, TPUs, CPUs. Experience with serverless architectures to reduce cost. Auto-scaling and load balancing for high-traffic systems. Problem-Solving & Collaboration Translate complex ML models into user-friendly applications. Work effectively with data scientists, engineers, and product teams. Write clear technical documentation and architecture reports. (ref:hirist.tech) Show more Show less

Hiring: Generative AI Senior Developer Location : Gurgaon (Hybrid Mode) Experience : 610 Years (Min. 2+ years in GenAI) Key Responsibilities Design, develop, and optimize Generative AI models using LLMs (e.g., GPT, LLaMA, PaLM, Claude) and diffusion models. Build scalable training and deployment pipelines for custom foundation models and fine-tune existing LLMs on domain-specific datasets. Collaborate cross-functionally with product managers, data scientists, and engineering teams to integrate GenAI into real-world applications. Implement prompt engineering and retrieval-augmented generation (RAG) techniques to improve output quality and relevance. Develop and maintain APIs, tools, and SDKs to enable GenAI-driven features across products. Stay updated with the latest in AI research and translate cutting-edge advancements into production-ready solutions. Ensure responsible and ethical AI usage, actively mitigating model biases and risks. Continuously optimize performance, latency, and scalability of deployed AI services. Required Skills & Experience 6 to 10 years of experience in AI/ML development, including 2+ years in Generative AI. Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow. Strong knowledge of NLP, transformers, embeddings, and attention mechanisms. Hands-on experience with tools like Hugging Face Transformers, LangChain, and OpenAI APIs. Practical exposure to vector databases (e.g., FAISS, Pinecone, Weaviate). Experience in building and deploying LLM-powered applications, such as intelligent chatbots or content generators. Familiarity with MLOps practices, including model versioning and deployment tools (Docker, Kubernetes, MLflow). Experience with cloud platforms: AWS, Azure, or GCP. Preferred Qualifications Masters or Ph.D. in Computer Science, AI/ML, Data Science, or related field. Publications or active contributions to AI research communities (e.g., NeurIPS, ICML, arXiv). Experience working with multi-modal models (text + image/audio). Knowledge of Responsible AI, hallucination mitigation, and bias detection (ref:hirist.tech) Show more Show less

Job Overview We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills And Qualifications 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. Strong understanding of Salesforce data model, object architecture, and metadata management. Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. Expertise in integrating Salesforce with external data sources using APIs and middleware tools. Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications Salesforce Platform Developer I & II Salesforce Certified AI Associate or Einstein AI Certification (Preferred) Salesforce Application Architect or System Architect (Bonus) Nice To Have Experience working in Agile/Scrum environments. Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments. (ref:hirist.tech) Show more Show less

Designation : Backend Engineer Experience : 4+ Years Location : Remote We are looking for talented and passionate individuals to join The Patch Infotech as a Backend Engineer. This role is ideal for a professional with a strong understanding and proven experience in building production-grade, scalable backend systems in the cloud. You will play a pivotal role in developing our core backend infrastructure, with a specialized focus on AI/ML applications, working extensively with Large Language Models (LLMs) and Agentic frameworks. Key Responsibilities Design, develop, and maintain robust, scalable, and high-performance backend systems primarily using Node.js (Express) and Python. Implement and integrate AI/ML functionalities into backend services, leveraging libraries such as LLM Transformers and scikit-learn. Work extensively with Large Language Models (LLMs) and develop solutions using Agentic frameworks like Langchain, LangGraph, or similar. Design and manage database schemas and interactions using MongoDB (NoSQL database) and Vector Databases. Deploy, manage, and troubleshoot backend applications and services within cloud environments, specifically Azure and AWS. Write clean, efficient, and well-documented code, primarily using TypeScript for Node.js applications, ensuring high quality and maintainability. Collaborate with front-end developers, AI/ML engineers, and product managers to define APIs, integrate services, and deliver comprehensive solutions. Optimize backend services for performance, scalability, and security in a production environment. Participate in code reviews, contribute to architectural discussions, and drive the adoption of best practices. Troubleshoot and debug complex backend issues, ensuring system reliability and availability. Required Skills & Qualifications Experience : 4+ years of professional experience in backend software development. Backend Languages & Frameworks : Strong proficiency in Node.js (with Express framework) and Python. AI/ML Integration : Hands-on experience building backend systems that integrate AI/ML models, specifically with LLM Transformers and scikit-learn. LLM & Agentic Frameworks : Proven working experience with Large Language Models (LLMs) and Agentic frameworks such as Langchain, LangGraph, or similar. Database Technologies : Experience with MongoDB (NoSQL database) and working knowledge of Vector Databases. Cloud Platforms : Hands-on working experience with at least one major cloud provider : Azure or AWS. Type-Safe Development : Proficiency in TypeScript. Scalable Systems : Strong understanding and experience in building production-grade, scalable backend systems. Problem-Solving : Excellent analytical and problem-solving skills with a focus on delivering robust solutions. Communication : Strong communication and collaboration skills to work effectively in a remote team environment. Version Control : Experience with Git or other distributed version control systems. Education : Bachelor's degree in Computer Science, Engineering, or a related technical field is preferred (ref:hirist.tech) Show more Show less

Role : Machine Learning Engineer Key Responsibilities Collaborate with data scientists to support end-to-end ML model development, including data preparation, feature engineering, training, and evaluation. Build and maintain automated pipelines for data ingestion, transformation, and model scoring using Python and SQL. Assist in model deployment using CI/CD pipelines (e.g., Jenkins) and ensure smooth integration with production systems. Develop tools and scripts to support model monitoring, logging, and retraining workflows. Work with data from relational databases (RDS, Redshift) and preprocess it for model consumption. Analyze pipeline performance and model behavior; identify opportunities for optimization and refactoring. Contribute to the development of a feature store and standardized processes to support reproducible data science. Required Skills & Experience 1-3 years of hands-on experience in Python programming for data science or ML engineering tasks. Solid understanding of machine learning workflows, including model training, validation, deployment, and monitoring. Proficient in SQL and working with structured data from sources like Redshift, RDS, etc. Familiarity with ETL pipelines and data transformation best practices. Basic understanding of ML model deployment strategies and CI/CD tools like Jenkins. Strong analytical mindset with the ability to interpret and debug data/model issues. Preferred Qualifications Exposure to frameworks like scikit-learn, XGBoost, LightGBM, or similar. Knowledge of ML lifecycle tools (e.g., MLflow, Ray). Familiarity with cloud platforms (AWS preferred) and scalable infrastructure. (ref:hirist.tech) Show more Show less

E2M is not your regular digital marketing firm. We're an equal opportunity provider, founded on strong business ethics and driven by more than 300 experienced professionals. Our client base is made up of digital agencies that rely on us to solve bandwidth issues, reduce overheads, and boost profitability. We need driven, tech-savvy professionals like you to help us deliver next-gen solutions. If you're someone who dreams big and thrives in innovation, E2M has a place for you. Role Overview As an Python Developer – AI Implementation Specialist/AI Executor , you will be responsible for designing and integrating AI capabilities into production systems using Python and key ML libraries. This role requires a strong backend development foundation and a proven track record of deploying AI use cases using tools like TensorFlow, Keras, or OpenAI APIs. You'll work cross-functionally to deliver scalable AI-driven solutions. Key Responsibilities Design and develop backend solutions using Python, with a focus on AI-driven features. Implement and integrate AI/ML models using tools like OpenAI, Hugging Face, or Lang Chain. Use core Python libraries (NumPy, Pandas, TensorFlow, Keras) to process data, train, or implement models. Translate business needs into AI use cases and deliver working solutions. Collaborate with product, engineering, and data teams to define integration workflows. Develop REST APIs and micro services to deploy AI components within applications. Maintain and optimize AI systems for scalability, performance, and reliability. Keep pace with advancements in the AI/ML landscape and evaluate tools for continuous improvement. Required Skills & Qualifications Minimum 5+ years of overall experience, including at least 1 year in AI/ML integration and strong hands-on expertise in Python for backend development. Proficiency in libraries such as NumPy, Pandas, TensorFlow, and Keras Practical exposure to AI platforms/APIs (e.g., OpenAI, LangChain, Hugging Face) Solid understanding of REST APIs, microservices, and integration practices Ability to work independently in a remote setup with strong communication and ownership Excellent problem-solving and debugging capabilities Show more Show less

Step into role of a Senior Data Engineer. At Barclays, innovation isn’t encouraged, its expected. As a Senior Data Engineer you will build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. To be a successful Senior Data Engineer, you should have experience with: Hands on experience to work with large scale data platforms & in development of cloud solutions in AWS data platform with proven track record in driving business success. Strong understanding of AWS and distributed computing paradigms, ability to design and develop data ingestion programs to process large data sets in Batch mode using Glue, Lambda, S3, redshift and snowflake and data bricks. Ability to develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies. Hands on programming experience in python and PY-Spark. Understanding of Dev Ops Pipelines using Jenkins, GitLab & should be strong in data modelling and Data architecture concepts & well versed with Project management tools and Agile Methodology. Sound knowledge of data governance principles and tools (alation/glue data quality, mesh), Capable of suggesting solution architecture for diverse technology applications. Additional Relevant Skills Given Below Are Highly Valued Experience working in financial services industry & working in various Settlements and Sub ledger functions like PNS, Stock Record and Settlements, PNL. Knowledge in BPS, IMPACT & Gloss products from Broadridge & creating ML model using python, Spark & Java. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Pune. Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.. If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. 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Join Barclays as a Senior Data Engineer. At Barclays, we are building the bank of tomorrow. As a Strategy and Transformation Lead you will build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. To be a successful Senior Data Engineer, you should have experience with: Hands on experience to work with large scale data platforms & in development of cloud solutions in AWS data platform with proven track record in driving business success. Strong understanding of AWS and distributed computing paradigms, ability to design and develop data ingestion programs to process large data sets in Batch mode using Glue, Lambda, S3, redshift and snowflake and data bricks. Ability to develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies. Hands on programming experience in python and PY-Spark. Understanding of Dev Ops Pipelines using Jenkins, GitLab & should be strong in data modelling and Data architecture concepts & well versed with Project management tools and Agile Methodology. Sound knowledge of data governance principles and tools (alation/glue data quality, mesh), Capable of suggesting solution architecture for diverse technology applications. Additional Relevant Skills Given Below Are Highly Valued Experience working in financial services industry & working in various Settlements and Sub ledger functions like PNS, Stock Record and Settlements, PNL. Knowledge in BPS, IMPACT & Gloss products from Broadridge & creating ML model using python, Spark & Java. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Pune. Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.. If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. 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Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Job Summary Fiche de poste : UPS Marketing team is looking for a talented and driven Data Scientist to drive its strategic objectives in the areas of pricing, revenue management, market analysis and evidence/data-based decision making. This role will work across multiple channels and teams to drive tangible results in the organization. You will focus on developing metrics for multiple channels and markets, applying advanced statistical modeling where appropriate and pioneering new analytical methods in a variety of fast paced and rapidly evolving consumer channels. This high visibility position will work with multiple levels of the organization, including senior leadership to bring analytical capabilities to the forefront of pricing, rate setting, and optimization of our go-to-market offers. You will contribute to rapidly evolving UPS Marketing analytical capabilities by working amongst a collaborative team of Data Scientists, Analysts and multiple business stakeholders. Responsibilities Become a subject matter expert on UPS business processes, data and analytical capabilities to help define and solve business needs using data and advanced statistical methods Analyze and extract insights from large-scale structured and unstructured data utilizing multiple platforms and tools. Understand and apply appropriate methods for cleaning and transforming data Work across multiple stake holders to develop, maintain and improve models in production Take the initiative to create and execute analyses in a proactive manner Deliver complex analytical and visualizations to broader audiences including upper management and executives Deliver analytics and insights to support strategic decision making Understand the application of AI/ML when appropriate to solve complex business problems Qualifications Expertise in R, SQL, Python. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Expertise with statistical techniques, machine learning or operations research and their application in business applications. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale. Proficient in Azure, Google Cloud environment Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications Experience with pricing methodologies and revenue management Experience using PySpark, Azure Databricks, Google BigQuery and Vertex AI Creating and implementing NLP/LLM projects Experience utilizing and applying neurals networks and other AI methodologies Familiarity with Data architecture and engineering Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description DATA SCIENTIST Job Summary This Data Scientist creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects. Responsibilities Defines key data sources from UPS and external sources to deliver models. Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems. For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts. Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs. Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives. Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling. Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders. Presents operationalized analytic findings and provides recommendations. Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction. Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions. Qualifications Expertise in R, SQL, Python and/or any other high-level languages. Exploratory data analysis (EDA), data engineering and development of advanced analytics models. Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras. Experience applying models from small to medium scaled problems. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach. Expertise with statistical techniques, machine learning, and/or operations research and their application in business. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production. Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows. Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains. Familiarity with Java or C++ is a plus. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Last Day Posted - 2/25/2024 Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

JOB_POSTING-3-71378-3 Job Description Role Title: Manager, Model Risk Management (L09) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~51% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview Synchrony's Risk Team is a dynamic and innovative team dedicated to provide oversight as 2nd Line of Defense. As a member of this Team, you'll play a pivotal role for high quality model validation and to ensure modeling techniques and results are consistent with the respective strategic uses, models performing as intended, and complying with related MRM policies, standards, procedures as well as regulations. This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. If you are passionate about Model validation and Modelling techniques then Synchrony’s Risk team is the place to be. Role Summary/Purpose The Manager, Model Validation is responsible for model validation focusing on statistical, Machine Learning (ML) and other models and ensure they are meeting the related Model Risk Management policies, standards, procedures as well as regulations (SR 11-7). This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. This is an individual contributor role. Key Responsibilities Conduct full scope model review, annual review, ongoing monitoring model performance etc. for both internally and vendor-developed models, including new and existing, statistical/ML or non-statistical models, with effective challenges to identify potentials issues Evaluate model development data quality, methodology conceptual soundness and accuracy, and conduct model performance testing including back-testing, sensitivity analysis, benchmarking, etc. and timely identify/highlight issues. Perform proper documentation within expected timeframes for effectively highlighting the findings for further review/investigation and facilitate informed discussions on key analytics. Conduct in-depth analysis of large data sets and support the review and maintenance process of relevant models and model validation documentation. Communicate technical information verbally and in writing to both technical and business team effectively. Additionally the role requires the capability to write detailed validation documents/reports for management Support in additional book of work or special projects as in when required. Required Skills/Knowledge Bachelor’s/Master's degree (or foreign equivalent) in Statistics, Mathematics, or Data Science and 2+ years' experience in model development or model validation experience in the retail section of a U.S. financial services or banking; in lieu of a Master’s degree, 4+ years’ experience in model development / model validation experience in the retail section of financial services or banking. Knowledge and experience of customer facing models including fraud acquisition, transaction fraud, credit acquisition, credit account management and marketing models. Understanding of quantitative analysis methods or approaches in relation to credit risk models. Strong programing skills with 2+ years’ hands-on and proven experience utilizing Python, Spark , SAS, SQL, Data Lake to perform statistical analysis and manage complex or large amounts of data Desired Skills/Knowledge 2+ years of proven experience in Model Risk Management or model development in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline. Ability to apply analytical skills to solve problems creatively. Sharp focus on accuracy with extreme attention to detail and able to make recommendations as opportunities arise. Be self-motivated, act promptly and effectively when assigned tasks. Excellent written and oral communication and presentation skills. Eligibility Criteria Bachelor’s/Master's degree (or foreign equivalent) in Statistics, Mathematics, or Data Science and 2+ years' experience in model development or model validation experience in the retail section of a U.S. financial services or banking; in lieu of a Master’s degree, 4+ years’ experience in model development / model validation experience in the retail section of financial services or banking. Work Timings: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying. Inform your Manager or HRM before applying for any role on Workday. Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal, PIP) L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible. L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L4+ employees can apply. Grade/Level: 09 Job Family Group Credit Show more Show less