9198 Pytorch Jobs

JOB DESCRIPTION Role -AI Engineer Experience: 5 to 10 Years Work Mode: Remote Immediate Joiners Preferred Required Skills & Qualification: An ideal candidate will have experience, as we are building an AI-powered workforce intelligence platform that helps businesses optimize talent strategies, enhance decision-making, and drive operational efficiency. Our software leverages cutting-edge AI, NLP, and data science to extract meaningful insights from vast amounts of structured and unstructured workforce data. As part of our new AI team, you will have the opportunity to work on real-world AI applications, contribute to innovative NLP solutions, and gain experience in building AI-driven products from the ground up. Required Skills & Qualification • Strong experience in Python programming • 5-10 years of experience in Data Science/NLP (Freshers with strong NLP projects are welcome). • Proficiency in Python, PyTorch, Scikit-learn, and NLP libraries (NLTK, SpaCy, Hugging Face). • Basic knowledge of cloud platforms (AWS, GCP, or Azure). -Retrieval, Machine Learning, Artificial Intelligence, Generative AI, Semantic search, Reranking & evaluating search performance. • Experience with SQL for data manipulation and analysis. • Assist in designing, training, and optimizing ML/NLP models using PyTorch, NLTK, Scikit- learn, and Transformer models (BERT, GPT, etc.). • Familiarity with MLOps tools like Airflow, MLflow, or similar. • Experience with Big Data processing (Spark, Pandas, or Dask). • Help deploy AI/ML solutions on AWS, GCP, or Azure. • Collaborate with engineers to integrate AI models into production systems. • Expertise in using SQL and Python to clean, preprocess, and analyze large datasets. • Learn & Innovate – Stay updated with the latest advancements in NLP, AI, and ML frameworks. • Strong analytical and problem-solving skills. • Willingness to learn, experiment, and take ownership in a fast-paced startup environment. Nice to Have Requirements for the Candidate • Desire to grow within the company • Team player and Quicker learner • Performance-driven • Strong networking and outreach skills • Exploring aptitude & killer attitude • Ability to communicate and collaborate with the team at ease. • Drive to get the results and not let anything get in your way. • Critical and analytical thinking skills, with a keen attention to detail. • Demonstrate ownership and strive for excellence in everything you do. • Demonstrate a high level of curiosity and keep abreast of the latest technologies & tools • Ability to pick up new software easily and represent yourself peers and co-ordinate during meetings with Customers. What We Offer: - We offer a market-leading salary along with a comprehensive benefits package to support your well-being. -Enjoy a hybrid or remote work setup that prioritizes work-life balance and personal wellbeing. -We invest in your career through continuous learning and internal growth opportunities. -Be part of a dynamic, inclusive, and vibrant workplace where your contributions are recognized and rewarded. -We believe in straightforward policies, open communication, and a supportive work environment where everyone thrives. About the Company: https://predigle.com/ https://www.espergroup.com/ Predigle, an EsperGroup company, focuses on building disruptive technology platforms to transform daily business operations. Predigle has expanded rapidly to offer various products and services. Predigle Intelligence (Pi) is a comprehensive portable AI platform that offers a low-code/no-code AI design solution for solving business problems.

Overview Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune 500 companies. At the Esri R&D Center-New Delhi, we are applying cutting-edge AI and deep learning techniques to revolutionize geospatial analysis and derive insight from imagery and location data. We are passionate about applying data science and artificial intelligence to solve some of the world’s biggest challenges. Our team develops tools, APIs, and AI models for geospatial analysts and data scientists, enabling them to leverage the latest research in spatial data science, AI and geospatial deep learning. As a Data Scientist, you will develop deep learning models using libraries such as PyTorch and create APIs and tools for training and deploying them on satellite imagery. If you are passionate about deep learning applied to remote sensing and GIS, developing AI and deep learning models, and love maps or geospatial datasets/imagery, this is the place to be! Responsibilities Develop tools, APIs and pretrained models for geospatial AI Integrate ArcGIS with popular deep learning libraries such as PyTorch Fine-tune large language models (LLMs) for geospatial AI tasks and develop AI agents and assistants Develop APIs and model architectures for natural language processing and deep learning on unstructured text Author and maintain geospatial data science samples using ArcGIS and machine learning/deep learning libraries Curate and pre/post-process data for deep learning models and transform it into geospatial information Perform comparative studies of various deep learning model architectures Requirements 2 to 6 years of experience with Python, in data science and deep learning Self-learner with coursework in and extensive knowledge of machine learning and deep learning Experience with Python machine learning and deep learning libraries such as PyTorch, Scikit-learn, NumPy, Pandas Expertise in one or more of these areas: Experience with transformer-based models Large language models and experience building applications using them Experience of working on NLP based tasks such as recommender system, summarization, and more Experience in data visualization in Jupyter Notebooks using matplotlib and other libraries Experience with hyperparameter-tuning and training models to a high level of accuracy Bachelor's in computer science, engineering, or related disciplines from IITs and other top-tier engineering colleges Existing work authorization for India Recommended Qualifications Familiarity with ArcGIS suite of products and concepts of GIS Familiarity and experience using langchain/AutoGPT/BabyAGI About Esri At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here. If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance. Requisition ID: 2025-2398

Skill Sets: Expertise in ML/DL, model lifecycle management, and MLOps (MLflow, Kubeflow) Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face models Strong experience in NLP, fine-tuning transformer models, and dataset preparation Hands-on with cloud platforms (AWS, GCP, Azure) and scalable ML deployment (Sagemaker, Vertex AI) Experience in containerization (Docker, Kubernetes) and CI/CD pipelines Knowledge of distributed computing (Spark, Ray), vector databases (FAISS, Milvus), and model optimization (quantization, pruning) Familiarity with model evaluation, hyperparameter tuning, and model monitoring for drift detection

It’s not just about your career or job title… It’s about who you are and the impact you will make on the world. Because whether it’s for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, you’re in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us. It’s not just about your career or job title… It’s about who you are and the impact you will make on the world. Because whether it’s for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, you’re in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us. Who are we? Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation, and Faiveley Transport, the company has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems. Wabtec is focused on performance that drives progress and unlocks our customers’ potential by delivering innovative and lasting transportation solutions that move and improve the world. We are lifelong learners obsessed with making things better to drive exceptional results. Wabtec has approximately 27K employees in facilities throughout the world. Visit our website to learn more! Company Description: Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation and Faiveley Transport, the company has unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems. Wabtec is focused on performance that drives progress, creating transportation solutions that move and improve the world. Wabtec has approximately 27,000 employees in facilities throughout the world. Visit the company’s website at: http://www.WabtecCorp.com. Position Overview: We are seeking a talented Computer Vision Engineer with experience in image processing, deep learning, and software development to join our KinetiX team. The successful candidate will play a crucial role in translating existing code base to a state-of-the-art system while contributing to the development of advanced computer vision algorithms for laser and camera-based accurate detection and measurement of rail components at high speeds. Responsibilities: Develop machine vision system with Python/C++. Develop state-of-the-art computer vision algorithms, both traditional image processing and deep learning for accurate measurement and detection of rail components using laser and camera-based systems. Optimize algorithms for real-time performance and high-speed processing. Collaborate with cross-functional teams including hardware engineers, software developers, and domain experts to integrate computer vision solutions into our products. Conduct research to stay updated on the latest advancements in computer vision, deep learning, and image processing. Implement advanced AI annotation and active learning pipelines Requirements: Master's or Bachelor’s degree in Computer Science or related field. 2+ years of work experience with experience in image processing, computer vision, and deep learning. Proficiency in MATLAB and strong skills in Python and/or C++ programming languages. Experience with software development tools and libraries such as OpenCV, TensorFlow, PyTorch, etc. Good understanding of deep learning techniques and algorithms. Experience with point cloud is good to have Knowledge on MLOps and DevOps would be good to have. Knowledge on any cloud platform – GCP/Azure/AWS would be preferred. Excellent problem-solving skills and ability to work independently as well as in a team environment. Strong communication skills with the ability to articulate technical concepts effectively. Personal Attributes: Strong oral and written communication skills. Strong interpersonal and influencing skills. Effective team building and problem-solving abilities. Demonstrate the ability to quickly understand and learn new concepts, in analytics and other supporting technologies. Our Commitment to Embrace Diversity: Wabtec is a global company that invests not just in our products, but also our people by embracing diversity and inclusion. We care about our relationships with our employees and take pride in celebrating the variety of experiences, expertise, and backgrounds that bring us together. At Wabtec, we aspire to create a place where we all belong and where diversity is welcomed and appreciated. To fulfill that commitment, we rely on a culture of leadership, diversity, and inclusion. We aim to employ the world’s brightest minds to help us create a limitless source of ideas and opportunities. We have created a space where everyone is given the opportunity to contribute based on their individual experiences and perspectives and recognize that these differences and diverse perspectives make us better. We believe in hiring talented people of varied backgrounds, experiences, and styles… People like you! Wabtec Corporation is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or protected Veteran status. If you have a disability or special need that requires accommodation, please let us know. Who are we? Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation, and Faiveley Transport, the company has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems. Wabtec is focused on performance that drives progress and unlocks our customers’ potential by delivering innovative and lasting transportation solutions that move and improve the world. We are lifelong learners obsessed with making things better to drive exceptional results. Wabtec has approximately 27K employees in facilities throughout the world. Visit our website to learn more! http://www.WabtecCorp.com Our Commitment to Embrace Diversity: Wabtec is a global company that invests not just in our products, but also our people by embracing diversity and inclusion. We care about our relationships with our employees and take pride in celebrating the variety of experiences, expertise, and backgrounds that bring us together. At Wabtec, we aspire to create a place where we all belong and where diversity is welcomed and appreciated. To fulfill that commitment, we rely on a culture of leadership, diversity, and inclusion. We aim to employ the world’s brightest minds to help us create a limitless source of ideas and opportunities. We have created a space where everyone is given the opportunity to contribute based on their individual experiences and perspectives and recognize that these differences and diverse perspectives make us better. We believe in hiring talented people of varied backgrounds, experiences, and styles… People like you! Wabtec Corporation is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or protected Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Ready to build the future with AI? At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Manager, Data Scientist We are looking for a highly motivated and technically proficient Senior Data Scientist with deep expertise in time series forecasting, machine learning, natural language processing (NLP), and Python programming. This role is critical to enhancing our forecasting capabilities, driving product segmentation strategies, and supporting data-driven decision-making. The candidate will work closely with cross-functional teams including data engineers, analysts, and project managers to develop, test, and deploy scalable forecasting models and analytical solutions in a cloud-based environment. Responsibilities 1. Forecasting & Model Development Design, develop, and implement advanced time series forecasting models (e.g., ARIMA, Prophet, LSTM, XGBoost, etc.) tailored to different product categories and business needs. Evaluate and improve forecast accuracy by establishing robust metrics and conducting regular performance assessments throughout the sales cycle. Run what-if scenarios and simulations to assess the impact of various business conditions on forecast outcomes. 2. Segmentation & Clustering Collaborate with the Senior Data Scientist to perform segmentation and clustering of product identifiers using unsupervised learning techniques (e.g., K-means, DBSCAN, hierarchical clustering). Analyze product behavior patterns to identify slow- and fast-moving items, and generate actionable insights for inventory and sales planning. 3. Data Extraction & Feature Engineering Extract, clean, and transform data from multiple source systems (e.g., SQL databases, APIs, cloud storage) to support modeling and analysis. Engineer relevant features and variables to enhance model performance and interpretability. 4. Model Evaluation & Deployment Conduct comparative analysis of forecasting methods across different segments, tuning parameters and optimizing performance. Work in close coordination with Data Engineers and cloud platform teams to ensure seamless deployment of models into production environments (e.g., AWS, Azure, GCP). Monitor deployed models for drift, accuracy, and performance, and implement retraining pipelines as needed. 5. Collaboration & Communication Partner with cross-functional stakeholders to understand business requirements and translate them into analytical solutions. Present findings, insights, and recommendations to both technical and non-technical audiences through reports, dashboards, and presentations. Qualifications we seek in you! Minimum Qualifications / Skills Good years of hands-on experience in data science, with a strong focus on forecasting and predictive analytics. Proficiency in Python and its data science ecosystem (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Statsmodels, etc.). Strong understanding of time series analysis, machine learning algorithms, and NLP techniques. Experience with data extraction and manipulation using SQL and/or cloud-based data tools. Familiarity with cloud platforms (AWS, Azure, or GCP) and model deployment workflows. Ability to work in a fast-paced, agile environment with shifting priorities and tight deadlines. Excellent problem-solving, analytical thinking, and communication skills. Preferred Qualifications/ Skills Master’s in computer science, Data Science, Statistics, or a related field Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Manager Primary Location India-Hyderabad Education Level Bachelor's / Graduation / Equivalent Job Posting Aug 7, 2025, 1:03:41 PM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

We are looking for experienced AI/ML Architects to join our AI Engineering service line. In this role, you will anchor the technical delivery of enterprise AI/Agentic AI projects post deal-closure. You will take over from solution architects and lead the design, build, deployment, and optimization of AI/ML systems — ensuring production-grade quality, scalability, and compliance. You will interface with cross-functional teams, manage engineering complexity, and ensure value realization for customers across industries such as BFSI, HLS, Manufacturing, CMT, Retail, and Energy. Key Responsibilities: Own the end-to-end technical architecture and solution integrity during project delivery. Translate solution blueprints into detailed technical designs, backlog, and integration plans.Lead detailed design reviews, ensure alignment with AI platform, MLOps, and Agentic AI best practices. Select appropriate frameworks, APIs, libraries, and cloud-native services for implementation. Provide hands-on support for complex components: LLM pipelines, vector stores, fine-tuning, evaluations. Resolve system integration challenges across APIs, knowledge stores, and orchestration layers. Implement or validate MLOps workflows using MLflow, Airflow, Argo, KServe, BentoML, etc. Required Skills 12+ years in software architecture or engineering with 5+ years in applied AI/ML system delivery. Experience in productionizing AI/ML models and building full-stack AI applications in enterprise settings. Strong Python development skills; proficiency in ML/AI frameworks (PyTorch, TensorFlow, Scikit-learn). Strong understanding of LLMs, RAG pipelines, vector databases (Weaviate, Qdrant, Pinecone). Experience with MLOps/LLMOps tools: MLflow, Argo, KServe, Feast, Kubeflow . Proficiency in data pipeline engineering using Spark, Airflow, or DataFlow. Exposure to agent orchestration frameworks: LangChain, LangGraph, AutoGen, CrewAI is a big plus. Hands-on experience with GCP (Vertex AI, BigQuery, Document AI, AI Gateway) and/or Azure (Azure ML, OpenAI, Synapse). Expertise in containerization (Docker) and orchestration (Kubernetes). Job Type: Full-time Pay: ₹7,000,000.00 - ₹8,000,000.00 per month Benefits: Health insurance Paid time off Provident Fund Work from home Work Location: In person Speak with the employer +91 9999306447

About Chubb Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide. Additional information can be found at: www.chubb.com. About Chubb India At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work® for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape. We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning. Job Title: MLOPS Engineer Location: Hyderabad/Bangalore Job Type: Full-Time Position: Lead Engineer Job Overview: We are seeking a talented and passionate Machine Learning Engineer to join our team and play a pivotal role in developing and deploying cutting-edge machine learning solutions. You will work closely with other engineers and data scientists to bring machine learning models from proof-of-concept to production, ensuring they deliver real-world impact and solve critical business challenges Primary Responsibilities: Collaborate with data scientists, model developers, software engineers, and other stakeholders to translate business needs into technical solutions. Experience of having deployed ML models to production Create high performance real-time inferencing APIs and batch inferencing pipelines to serve ML models to stakeholders. Integrate machine learning models seamlessly into existing production systems. Continuously monitor and evaluate model performance and retrain the models automatically or periodically Streamline existing ML pipelines to increase throughput. Identify and address security vulnerabilities in existing applications proactively. Technical Skills / Experience: Design, develop, and implement machine learning models for preferably insurance related applications. Well versed with Azure ecosystem Knowledge of NLP and Generative AI techniques. Relevant experience will be a plus. Knowledge of machine learning algorithms and libraries (e.g., TensorFlow, PyTorch) will be a plus. Stay up-to-date on the latest advancements in machine learning and contribute to ongoing innovation within the team Why Chubb? Join Chubb to be part of a leading global insurance company! Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results. Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years 2023-2024, 2024-2025 and 2025-2026 Laser focus on excellence: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results Start-Up Culture: Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter Growth and success: As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment Employee Benefits Our company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include: Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs. Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits. Application Process Our recruitment process is designed to be transparent, and inclusive. Step 1: Submit your application via the Chubb Careers Portal. Step 2: Engage with our recruitment team for an initial discussion. Step 3: Participate in HackerRank assessments/technical/functional interviews and assessments (if applicable). Step 4: Final interaction with Chubb leadership. Join Us With you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion, and are ready to make a difference, we invite you to be part of Chubb India’s journey. Apply Now: Chubb External Careers Technical Skills / Experience: 10+ years of working experience Python/MLOps/Docker and Kubernetes/FastAPI or Flask/CICD/Jenkins/Spark/SQL/RDB/Cosmos/Kafka/ADLS/API/Databricks Azure/LLMOps/ADF/ETL

The Microsoft CoreAI Post-Training team is dedicated to advancing post-training techniques for both OpenAI and open-source models. Our work spans continual pre-training, fine-tuning, reinforcement learning at scale, and data curation. We contribute to both research and product development across Microsoft. We build and deploy cutting-edge AI technologies that integrate language and multi-modality into Microsoft products. Our team is especially active in developing code-focused models, such as those powering GitHub Copilot and Visual Studio Code. We are looking for a Machine Learning Engineer with a strong foundation in ML systems and a passion for deploying large-scale models in production. This role is ideal for someone who has experience working with LLMs or multimodal models and is eager to grow their expertise in building scalable, reliable ML infrastructure. Responsibilities Responsibilities Collaborate with senior engineers and researchers to build and optimize training and inference pipelines for LLMs, SLMs, multimodal, and code-specific models. Contribute to the deployment and monitoring of models in production environments. Write clean, efficient, and maintainable code for ML systems. Help improve inference performance, reliability, and scalability. Participate in rapid experimentation cycles and support integration with Microsoft products. Qualifications Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 2+ years of experience with Python and ML frameworks such as PyTorch or TensorFlow. Hands-on experience with training or fine-tuning LLMs or multimodal models. Familiarity with production ML systems and concepts like model serving, caching, batching, and monitoring. Understanding of distributed systems and cloud-based infrastructure. Preferred Qualifications Experience with containerization tools (e.g., Docker, Kubernetes). Exposure to MLOps or DevOps practices (CI/CD, automated testing, deployment). Interest in generative AI and open-source model ecosystems. Ability to work in a fast-paced, collaborative environment with a growth mindset. Strong communication and documentation skills. #AI Platform Hiring# Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Job Title: AI Enthusiast Intern — Full-Time Location: Delhi Office Future Path: High-performing interns receive a permanent-role offer with the choice to continue in Delhi or relocate to our Dubai hub. About Uniworld Studios Uniworld Studios is a global branding, marketing, and technology firm that fuses creative storytelling with state-of-the-art artificial intelligence. Our AI labs ship autonomous content pipelines, data-driven growth engines, and enterprise-grade solutions for Fortune-500 companies and hyper-growth start-ups across 20+ countries. Key Responsibilities Agentic AI R&D – Explore, prototype, and benchmark autonomous-agent frameworks (Auto-GPT, LangGraph, CrewAI, etc.) to solve marketing, media-production, and workflow-automation problems. Prompt & Workflow Design – Craft robust prompt chains, tool calling routines, and evaluation harnesses; document best practices for internal playbooks. Data Curation – Source, clean, and label multimodal datasets (text, image, video) to fuel rapid experimentation. Rapid Prototyping – Build proof-of-concept apps (Streamlit, React, low-code) that demonstrate measurable business value; iterate with design and engineering teams. Workshop Support – Co-create demos and hands-on labs for our AI Literacy Programs delivered to enterprises, governments, and academic partners. Market Intelligence – Track the AI landscape, summarise weekly breakthroughs, and pitch tools worth piloting. Cross-Functional Collaboration – Translate brand or business challenges into AI-powered solutions alongside creative strategists, developers, and client partners. Core Must-Haves Passion for Agentic AI – Able to articulate how autonomous agents orchestrate tasks, where they add value, and their current limitations. Programming Foundation – Comfort scripting in any language (Python, JavaScript, etc.) to automate tests and build quick demos. Analytical Mindset – Structured problem-framing, hypothesis testing, and clear documentation habits. Communication Skills – Crisp written and verbal English; confidence explaining technical ideas to non-technical peers. Growth Mindset – Hunger to learn, experiment, and thrive in an ambiguous, fast-moving environment. Nice-to-Have (Optional but Valued) Solid Python skills and experience with at least one ML framework (PyTorch, TensorFlow, JAX). Familiarity with GenAI or LLM APIs (OpenAI, Cohere, Hugging Face). Exposure to vector databases, RAG pipelines, computer-vision, or audio-processing stacks. A portfolio of hackathon projects, Kaggle submissions, GitHub repos, or technical blog posts. Storytelling or design flair that helps bridge technical and creative teams. What You’ll Gain Hands-On Mentorship – Work directly with AI leads who have deployed models across 20+ international markets. End-to-End Exposure – Participate in the full solution lifecycle from discovery workshops to production rollout. Clear Growth Track – Bi-monthly performance reviews; top interns convert to permanent roles with the option to transfer to Dubai after 12 months. Stipend & Perks – Competitive monthly stipend, MacBook, premium AI-tool subscriptions, learning budget, hybrid work flexibility, and team off-sites. Application Process Apply – Email your résumé, GitHub/portfolio link, and a 200-word note on “An autonomous-agent use-case that excites me and why.” Technical Task – Short take-home mini-project or code review. Interviews – One technical round + one culture/creativity round. Offer & Onboarding – Map a 12-week learning sprint and hit the ground running. Ready to turn your AI passion into real-world impact? Send your application to it@uniworldstudios.com with the subject line “AI Enthusiast Intern – Delhi”. Applications are reviewed on a rolling basis—early submissions receive priority.

Job Information Date Opened 08/08/2025 Job Type Full time Industry Technology Work Experience 1-3 years City Mohali State/Province Punjab Country India Zip/Postal Code 160071 Job Description ABOUT XENONSTACK XenonStack is the fastest-growing data and AI foundry for agentic systems, enabling people and organizations to gain real-time and intelligent business insights. Agentic Systems for AI Agents: akira.ai Vision AI Platform: xenonstack.ai Inference AI Infrastructure for Agentic Systems: nexastack.ai THE OPPORTUNITY We are looking for an LLM Reliability & Evaluation Engineer to design, implement, and maintain rigorous evaluation frameworks for Large Language Models (LLMs) powering our Agentic AI systems. This role will ensure models meet high standards of accuracy, safety, and performance across enterprise and regulated industry use cases. If you’re passionate about model trustworthiness, benchmarking, and Responsible AI practices , and want to shape how AI agents behave in mission-critical workflows, this is the role for you. RESPONSIBILITIES Design, implement, and maintain evaluation pipelines for LLM-based applications and agentic workflows. Define and track key performance indicators (accuracy, latency, cost, reliability) for deployed models. Develop automated test suites, benchmark datasets, and stress-testing scenarios for LLMs. Collaborate with data scientists, ML engineers, and product teams to integrate evaluation into the model lifecycle. Assess bias, fairness, and safety risks in LLM outputs and recommend mitigations. Validate model alignment to enterprise use case requirements and regulatory standards. Conduct A/B tests, prompt performance analysis, and long-context reliability checks. Document evaluation methodologies and maintain transparent reporting for internal and client use. Stay updated on state-of-the-art LLM evaluation techniques, frameworks, and metrics. SKILLS & QUALIFICATIONS Must-Have: 3–5 years of experience in AI/ML engineering, applied research, or QA for ML systems. Strong understanding of LLM architectures, prompt engineering, and agentic workflows. Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). Experience with dataset curation, evaluation metrics (BLEU, ROUGE, BERTScore, factuality scores), and performance profiling. Familiarity with Responsible AI principles, fairness auditing, and bias detection methods. Good-to-Have: Experience with LangChain, LangGraph, or similar agent frameworks. Knowledge of model monitoring tools (Weights & Biases, MLflow, Arize AI, TruLens). Familiarity with multi-turn conversation evaluation and human-in-the-loop testing. Exposure to regulated industry AI governance (finance, healthcare, etc.). CAREER GROWTH & BENEFITS Continuous Learning & Growth Certification sponsorships and advanced training in AI evaluation, safety, and optimization. Access to cutting-edge AI systems and enterprise-scale evaluation environments. Recognition & Rewards Performance incentives and awards for innovation in model reliability. Fast-track opportunities to AI Governance or Model Ops leadership roles. Work Benefits & Well-Being Comprehensive medical insurance and project-based allowances. Cab facilities for women employees and additional perks for special projects. XENONSTACK CULTURE – JOIN US & MAKE AN IMPACT! We foster a culture of cultivation with bold, human-centric leadership principles. We value obsession and deep work in every initiative, and we are on a mission to reshape how enterprises adopt AI + Human Intelligence systems. Product Values: Obsessed with Adoption – Making AI accessible and enterprise-ready. Obsessed with Simplicity – Turning complexity into seamless, intuitive AI experiences. Be a part of our vision to accelerate the world’s transition to AI + Human Intelligence . Requirements

Experience Range 6 – 8 years for Tech Lead . 9 - 12 Yrs evaluated for Associate Architect. Work Profile Bhashini 2.0 is India's ambitious initiative to transform its language technology landscape into a self-sustaining, intelligent AI ecosystem. Moving beyond public utility, Bhashini 2.0 will evolve into a comprehensive SaaS marketplace, empowering users with custom language solutions, fostering seamless partnerships, and building a vibrant community, all while bridging the digital divide across diverse Indian languages and dialects. This includes advanced AI models (NMT, ASR, TTS, OCR), a dynamic API marketplace, robust stakeholder engagement, an innovative "Hundi" orchestration engine, next-gen mobile app catering to rural users also, and a sophisticated data management framework. Work Location /Address Location: NCR Address: Express Corporate Park, 1st Floor, Plot no 15, 16, Film City, Sector 16A, Noida, Uttar Pradesh 201301 Work Mode 4-5 days per week at Client office This is a Sr. role and it is expected that one is flexible on this based on how the situation demands. Key Skills Hashtags Technology Lead, Technical Lead, Associate Architect, Technical Architecture, AI/ML, AI Models (Layout Detection, OCR, Translation) NLP, etc Key Attitude / Traits Brings in core values such as; 1. Strategic Mindset: Bring in the Big picture (Why are we doing what we are doing) 2. Start-Up Mindset: Bring in Passion & Energy into the work, with full heart. Do not treat this as a 9 to 5 job. Be outcome/result oriented than activity/effort oriented. A fail-fast approach to achieve progress than be slowed down by perfection. 3. Ownership Mindset: To take end to end Responsibility and Accountability of deliverables. Have no-excuse mindset towards commitments, in spite of constraints and dependencies. Let no personal or team boundaries come in the way of delivering. 4. Growth Mindset: Be open to challenges and learning. Demonstrate resilience in tough times. Skills- Hard Must Have: 1. Ability to Architect and Design AI/ML systems in NLP domain 2. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, Scikit-learn. 3. Experience with LLMs, NLP, CV, or time-series modeling. 4. Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps pipelines (MLflow, Kubeflow, etc.). 5. Strong understanding of data structures, algorithms, and system design. 6. Excellent communication and stakeholder management skills. 7. Ability to Inspire, Assist and Govern Technical teams to deliver to commitments Good to Have: 1. Experience deploying models in production environments using REST APIs, containers, or streaming platforms. 2. Knowledge of data privacy, model fairness, and explainability techniques. 3. Contributions to open-source AI/ML projects or publications in AI conferences. Skills – Soft Must Have: 1. Excellent Interpersonal skills 2. Excellent Communication Skills 3. Good Analytical skill 4. Problem Solving Skill Good to Have: 1. Decision Making Skill Nice to Have: 1. CxO interaction skills Knowledge / Certifications Must Have 1. Technical Architecture Good to Have 1. TOGAF Certification Roles & Responsibilities The AI Lead will be a hands-on technical leader responsible for guiding a team of engineers in the design, development, and delivery of specific, critical components of Bhashini 2.0 (e.g., 20+ services like ASR, TTS, OCR, etc and the Products using them, covering 22+ Indian Official languages across hundreds of dialects). You will ensure technical excellence, code quality, and adherence to architectural guidelines within the AI domain, while actively contributing to code development and mentoring team members. 1. Lead the end-to-end lifecycle of AI projects: from research and prototyping to deployment and monitoring. 2. Design and build scalable machine learning and deep learning models using modern frameworks. 3. Architect AI systems integrating cloud services, APIs, and MLOps practices. 4. Collaborate with data engineers, product managers, and domain experts to translate business needs into technical solutions. 5. Mentor and guide junior AI/ML engineers and researchers. 6. Ensure AI models are interpretable, ethical, and robust in production. 7. Conduct code reviews, performance optimizations, and contribute to a high-quality development culture. 8. Stay updated with the latest advancements in AI research, tools, and practices. Experiences Must Have : 1. 5+ years of experience in AI/ML development, with at least 2 years in a technical leadership or AI team lead role. 2. Strong proficiency in Python and familiarity with major AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). 3. Experience in building and deploying machine learning or deep learning models in production environments. 4. Proficient in designing end-to-end ML pipelines including data preprocessing, model training, evaluation, and monitoring. 5. Hands-on experience with REST APIs and integrating ML models into production-grade applications. 6. Solid understanding of AI system architecture, including data engineering, MLOps, and cloud deployment (AWS/GCP/Azure). 7. Exposure to Large Language Models (LLMs), NLP techniques, or Computer Vision pipelines. 8. Working knowledge of MLOps tools such as MLflow, Kubeflow, or SageMaker for model lifecycle management. 9. Strong coding, debugging, and optimization skills along with a solid grasp of software design principles and system architecture. 10. Excellent communication and mentoring skills, with a proven ability to lead technical teams and collaborate cross-functionally. Good to Have: 1. Experience with Kubernetes, Docker, and CI/CD pipelines for ML workloads. 2. Familiarity with ethical AI practices, including model fairness, explainability, and data privacy. 3. Knowledge of time-series analysis or reinforcement learning techniques. 4. Prior experience working in agile development environments (Scrum, Kanban). 5. Contributions to research publications, patents, or open-source AI/ML projects. 6. Exposure to prompt engineering or fine-tuning of foundation models (e.g., GPT, BERT, LLaMA). Why Join Us? 1. Be part of a nation-building mission to digitally empower every Indian. 2. Work on cutting-edge AI technologies applied to societal transformation. 3. Collaborate with the best minds across academia, startups, and government. 4. Influence policy, architecture, and impact on population scale.

We're Hiring AI Testing & Development Interns | Carnot Research Pvt. Ltd. Carnot Research is looking for interns to join our AI Testing & Development team. If you're excited by AI systems, model validation, and building robust AI pipelines, this is your chance to work with a fast-moving R&D team on cutting-edge projects in AI, cybersecurity, and agentic systems. Internship Role: AI Testing & Development Location: On-site – Research and Innovation Park, IIT Delhi Duration: 6 months – 1 year Responsibilities: •⁠ ⁠Assist in development and debugging of AI modules (NLP, CV, or LLM-based systems) •⁠ ⁠Design and execute test cases for AI models •⁠ ⁠Perform model evaluations, error analysis, and documentation •⁠ ⁠Contribute to versioning, prompt tuning, and framework validation •⁠ ⁠Collaborate with researchers, engineers, and UI teams What We’re Looking For: •⁠ ⁠Pursuing B.Tech/M.Tech/MCA or related degrees in CS/AI/Data Science •⁠ ⁠Strong grasp of Python, ML libraries (PyTorch, TensorFlow, Sklearn, etc.) •⁠ ⁠Good communication and documentation skills Join us in shaping next-gen AI systems with precision and purpose. #AIInternship #AIJobs #CarnotResearch #MachineLearning #AITesting #InternHiring

Experience Required: 3-5 years of hands-on experience in full-stack development, system design, and supporting AI/ML data-driven solutions in a production environment. Key Responsibilities Implementing Technical Designs: Collaborate with architects and senior stakeholders to understand high-level designs and break them down into detailed engineering tasks. Implement system modules and ensure alignment with architectural direction. Cross-Functional Collaboration: Work closely with software developers, data scientists, and UI/UX teams to translate system requirements into working code. Clearly communicate technical concepts and implementation plans to internal teams. Stakeholder Support: Participate in discussions with product and client teams to gather requirements. Provide regular updates on development progress and raise flags early to manage expectations. System Development & Integration: Develop, integrate, and maintain components of AI/ML platforms and data-driven applications. Contribute to scalable, secure, and efficient system components based on guidance from architectural leads. Issue Resolution: Identify and debug system-level issues, including deployment and performance challenges. Proactively collaborate with DevOps and QA to ensure resolution. Quality Assurance & Security Compliance: Ensure that implementations meet coding standards, performance benchmarks, and security requirements. Perform unit and integration testing to uphold quality standards. Agile Execution: Break features into technical tasks, estimate efforts, and deliver components in sprints. Participate in sprint planning, reviews, and retrospectives with a focus on delivering value. Tool & Framework Proficiency: Use modern tools and frameworks in your daily workflow, including AI/ML libraries, backend APIs, front-end frameworks, databases, and cloud services, contributing to robust, maintainable, and scalable systems. Continuous Learning & Contribution: Keep up with evolving tech stacks and suggest optimizations or refactoring opportunities. Bring learnings from the industry into internal knowledge-sharing sessions. Proficiency in using AI-copilots for Coding: Adaptation to emerging tools and knowledge of prompt engineering to effectively use AI for day-to-day coding needs. Technical Skills Hands-on experience with Python-based AI/ML development using libraries such as TensorFlow, PyTorch, scikit-learn, or Keras. Hands-on exposure to self-hosted or managed LLMs, supporting integration and fine-tuning workflows as per system needs while following architectural blueprints. Practical implementation of NLP/CV modules using tools like SpaCy, NLTK, Hugging Face Transformers, and OpenCV, contributing to feature extraction, preprocessing, and inference pipelines. Strong backend experience using Django, Flask, or Node.js, and API development (REST or GraphQL). Front-end development experience with React, Angular, or Vue.js, with a working understanding of responsive design and state management. Development and optimization of data storage solutions, using SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra), with hands-on experience configuring indexes, optimizing queries, and using caching tools like Redis and Memcached. Working knowledge of microservices and serverless patterns, participating in building modular services, integrating event-driven systems, and following best practices shared by architectural leads. Application of design patterns (e.g., Factory, Singleton, Observer) during implementation to ensure code reusability, scalability, and alignment with architectural standards. Exposure to big data tools like Apache Spark, and Kafka for processing datasets. Familiarity with ETL workflows and cloud data warehouse, using tools such as Airflow, dbt, BigQuery, or Snowflake. Understanding of CI/CD, containerization (Docker), IaC (Terraform), and cloud platforms (AWS, GCP, or Azure). Implementation of cloud security guidelines, including setting up IAM roles, configuring TLS/SSL, and working within secure VPC setups, with support from cloud architects. Exposure to MLOps practices, model versioning, and deployment pipelines using MLflow, FastAPI, or AWS SageMaker. Configuration and management of cloud services such as AWS EC2, RDS, S3, Load Balancers, and WAF, supporting scalable infrastructure deployment and reliability engineering efforts. Personal Attributes Proactive Execution and Communication: Able to take architectural direction and implement it independently with minimal rework with regular communication with stakeholders Collaboration: Comfortable working across disciplines with designers, data engineers, and QA teams. Responsibility: Owns code quality and reliability, especially in production systems. Problem Solver: Demonstrated ability to debug complex systems and contribute to solutioning. Key: Python, Django, Django ORM, HTML, CSS, Bootstrap, JavaScript, jQuery, Multi-threading, Multi-processing, Database Design, Database Administration, Cloud Infrastructure, Data Science, self-hosted LLMs Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in cloud or machine learning are a plus. Package: 6-11 LPA Job Types: Full-time, Permanent Pay: ₹600,000.00 - ₹1,100,000.00 per year Work Location: In person

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way. Job Description We are looking for a highly skilled and experienced Senior Manager- Product Engineering (AI/ML) to lead and scale our AI/ML initiatives. In this role, you will drive the development, deployment, and optimization of AI/ML models and solutions that directly impact business outcomes. You will lead a team of data scientists, machine learning engineers, working closely with product, engineering, and business stakeholders. What you'll do: Lead the end-to-end lifecycle of AI/ML projects, from problem definition and data exploration to model development, deployment, and monitoring. Manage and mentor a cross-functional team of AI/ML professionals. Define the AI/ML roadmap and strategy aligned with business goals. Oversee model accuracy, performance, ethical AI practices. Collaborate with engineering and product teams to integrate ML models into production systems. Stay abreast of the latest AI/ML technologies, frameworks, and research. Ensure scalability, reliability, and performance of AI/ML systems. Present findings and insights to senior leadership and stakeholders. Drive innovation by identifying new AI opportunities within the organization. What make's you qualified: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Mathematics, or a related field (Ph.D. preferred). 8+ years of experience in AI/ML, with at least 3 years in a leadership or managerial role. Strong proficiency in Python, Agentic AI, TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks. Deep understanding of machine learning algorithms, deep learning, NLP, and data mining techniques. Experience with cloud platforms (AWS, GCP, or Azure) and ML Ops tools and a strong understanding of cloud deployment technologies like Kubernetes or Docker containers. Proven track record of deploying AI solutions in production environments. Excellent leadership, project management, and communication skills. Knowledge of data privacy regulations and ethical AI practices. Publications or patents in the AI/ML field. Experience with Multi-Modal ML including Generative AI. Why You'll Love Sprinklr: We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks and virtual fitness. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities All About You Experience 3+ years of experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: o Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL o Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning o Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil o Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing o Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: o Confluence (Documentation) o Bitbucket/Stash (Code Sharing) o Shared Folders (File Sharing) o ALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 31 countries and territories. Circle K India Data & Analytics team is an integral part of ACT’s Global Data & Analytics Team, and the Data Scientist/Senior Data Scientist will be a key player on this team that will help grow analytics globally at ACT. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. _____________________________________________________________________________ Department: Data & Analytics Location: Cyber Hub, Gurugram, Haryana (5 days in office) Job Type: Permanent, Full-Time (40 Hours) Reports To: Senior Manager Data Science & Analytics _____________________________________________________________________________ About the role The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables. Roles & Responsibilities Analytics & Strategy Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Operational Excellence Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses. Stakeholder Engagement Working collaboratively across multiple sets of stakeholders – Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Job Requirements Education Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience 3 - 4 years for Data Scientist Relevant working experience in a data science/advanced analytics role Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.) Statistical modelling using Analytical tools (R, Python, KNIME, etc.) Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference. Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.) Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Microsoft Office applications (MS Excel, etc.) #LI-DS1

Experience Range 6 – 8 years for Tech Lead . 9 - 12 Yrs evaluated for Associate Architect. Work Profile Bhashini 2.0 is India's ambitious initiative to transform its language technology landscape into a self-sustaining, intelligent AI ecosystem. Moving beyond public utility, Bhashini 2.0 will evolve into a comprehensive SaaS marketplace, empowering users with custom language solutions, fostering seamless partnerships, and building a vibrant community, all while bridging the digital divide across diverse Indian languages and dialects. This includes advanced AI models (NMT, ASR, TTS, OCR), a dynamic API marketplace, robust stakeholder engagement, an innovative "Hundi" orchestration engine, next-gen mobile app catering to rural users also, and a sophisticated data management framework. Work Location /Address Location: NCR Address: Express Corporate Park, 1st Floor, Plot no 15, 16, Film City, Sector 16A, Noida, Uttar Pradesh 201301 Work Mode 4-5 days per week at Client office This is a Sr. role and it is expected that one is flexible on this based on how the situation demands. Key Skills Hashtags Technology Lead, Technical Lead, Associate Architect, Technical Architecture, AI/ML, AI Models (Layout Detection, OCR, Translation) NLP, etc Key Attitude / Traits Brings in core values such as; 1. Strategic Mindset: Bring in the Big picture (Why are we doing what we are doing) 2. Start-Up Mindset: Bring in Passion & Energy into the work, with full heart. Do not treat this as a 9 to 5 job. Be outcome/result oriented than activity/effort oriented. A fail-fast approach to achieve progress than be slowed down by perfection. 3. Ownership Mindset: To take end to end Responsibility and Accountability of deliverables. Have no-excuse mindset towards commitments, in spite of constraints and dependencies. Let no personal or team boundaries come in the way of delivering. 4. Growth Mindset: Be open to challenges and learning. Demonstrate resilience in tough times. Skills- Hard Must Have: 1. Ability to Architect and Design AI/ML systems in NLP domain 2. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, Scikit-learn. 3. Experience with LLMs, NLP, CV, or time-series modeling. 4. Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps pipelines (MLflow, Kubeflow, etc.). 5. Strong understanding of data structures, algorithms, and system design. 6. Excellent communication and stakeholder management skills. 7. Ability to Inspire, Assist and Govern Technical teams to deliver to commitments Good to Have: 1. Experience deploying models in production environments using REST APIs, containers, or streaming platforms. 2. Knowledge of data privacy, model fairness, and explainability techniques. 3. Contributions to open-source AI/ML projects or publications in AI conferences. Skills – Soft Must Have: 1. Excellent Interpersonal skills 2. Excellent Communication Skills 3. Good Analytical skill 4. Problem Solving Skill Good to Have: 1. Decision Making Skill Nice to Have: 1. CxO interaction skills Knowledge / Certifications Must Have 1. Technical Architecture Good to Have 1. TOGAF Certification Roles & Responsibilities The AI Lead will be a hands-on technical leader responsible for guiding a team of engineers in the design, development, and delivery of specific, critical components of Bhashini 2.0 (e.g., 20+ services like ASR, TTS, OCR, etc and the Products using them, covering 22+ Indian Official languages across hundreds of dialects). You will ensure technical excellence, code quality, and adherence to architectural guidelines within the AI domain, while actively contributing to code development and mentoring team members. 1. Lead the end-to-end lifecycle of AI projects: from research and prototyping to deployment and monitoring. 2. Design and build scalable machine learning and deep learning models using modern frameworks. 3. Architect AI systems integrating cloud services, APIs, and MLOps practices. 4. Collaborate with data engineers, product managers, and domain experts to translate business needs into technical solutions. 5. Mentor and guide junior AI/ML engineers and researchers. 6. Ensure AI models are interpretable, ethical, and robust in production. 7. Conduct code reviews, performance optimizations, and contribute to a high-quality development culture. 8. Stay updated with the latest advancements in AI research, tools, and practices. Experiences Must Have : 1. 5+ years of experience in AI/ML development, with at least 2 years in a technical leadership or AI team lead role. 2. Strong proficiency in Python and familiarity with major AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). 3. Experience in building and deploying machine learning or deep learning models in production environments. 4. Proficient in designing end-to-end ML pipelines including data preprocessing, model training, evaluation, and monitoring. 5. Hands-on experience with REST APIs and integrating ML models into production-grade applications. 6. Solid understanding of AI system architecture, including data engineering, MLOps, and cloud deployment (AWS/GCP/Azure). 7. Exposure to Large Language Models (LLMs), NLP techniques, or Computer Vision pipelines. 8. Working knowledge of MLOps tools such as MLflow, Kubeflow, or SageMaker for model lifecycle management. 9. Strong coding, debugging, and optimization skills along with a solid grasp of software design principles and system architecture. 10. Excellent communication and mentoring skills, with a proven ability to lead technical teams and collaborate cross-functionally. Good to Have: 1. Experience with Kubernetes, Docker, and CI/CD pipelines for ML workloads. 2. Familiarity with ethical AI practices, including model fairness, explainability, and data privacy. 3. Knowledge of time-series analysis or reinforcement learning techniques. 4. Prior experience working in agile development environments (Scrum, Kanban). 5. Contributions to research publications, patents, or open-source AI/ML projects. 6. Exposure to prompt engineering or fine-tuning of foundation models (e.g., GPT, BERT, LLaMA). Why Join Us? 1. Be part of a nation-building mission to digitally empower every Indian. 2. Work on cutting-edge AI technologies applied to societal transformation. 3. Collaborate with the best minds across academia, startups, and government. 4. Influence policy, architecture, and impact on population scale.

Designation: Software Engineer - ML Job Description Individual contributor Understand Software/System components and associated specifications. Ability to modify the architecture to enhance accuracy using different techniques like hyper parameter tuning, changing validation and test strategy, choosing right loss and activation functions. Good understanding of Visual Foundation models like YOLO, MAE, GrondingDIno etc. Apply statistical techniques for data analysis. Optimization of neural architecture for production deployment. Good at developing Heuristics post inference to reduce False positives. Skills Required Technical Skills Good knowledge of Maths and Statistics particularly in the areas of calculus, linear algebra, and Bayesian statistics. Working knowledge of CNN based architecture on imaging or video applications. Good understanding of programming languages like Python, C/C++. Good understanding of Tensorflow/Keras APIs. Good understanding of OpenCV library. Good understanding of various optimization techniques for production deployment. Demonstratable track record of delivering on production environment. Image processing/audio signal processing exposure is a plus. Hands-on knowledge of using GPUs (CUDA) for tensorflow/pyTorch frameworks. Soft Skills Strong analytical and problem-solving abilities, with quick adaptation to new technologies, methodologies, and systems. Self-starter, having positive attitude, ability to proactively identify issues and/or opportunities for improvement. Mature, ability to understand business perspective of requirements and interpersonal relationships when interacting with non-team members. Team Player Qualification Graduate/Post-Graduate in Computer Science/Maths/Stats/Physics from reputed institution Consistently good academic record having minimum 75% throughout (10th std onwards) Experience: At least 1 year of work experience in the field of ML/AI domain. Location: Sector - 68, Noida Website: www.veneratech.com Job Types: Full-time, Permanent Pay: ₹700,000.00 - ₹1,000,000.00 per month Benefits: Health insurance Leave encashment Provident Fund Application Question(s): What is the notice period required to join? Are you comfortable for Noida location? Please provide your current CTC. Please provide your expected CTC. Please share your academic scores: 10th - 12th - Graduation - Post Grad. - Experience: ML/AI domain: 1 year (Preferred) Work Location: In person

Country/Region: IN Requisition ID: 27310 Work Model: Position Type: Salary Range: Location: INDIA - NOIDA- BIRLASOFT OFFICE Title: Project Lead-App Development Description: Area(s) of responsibility Job Description: Birlasoft is looking for a dynamic and experienced AIOps and Automation specialists to join a highly skilled team of Agentic AI SMEs. The ideal candidate will have hands-on experience and in-depth knowledge of Agentic AI and Automation technologies and platforms for IT Operations automation. This role requires a strong technical background and leadership skills to drive automation initiatives and enhance operational efficiency in IT infrastructure operations and IT helpdesk using Agentic AI. Technical skills Python, Java, Powershell/shell scripting, Go, C++ – for building AI agents and automation workflows. Familiarity with Langchain, LangGraph, and Langsmith for agentic orchestration. Experience with ML frameworks like TensorFlow, PyTorch, and Keras Knowledge of Natural Language Processing/Understanding (NLP/U) techniques Familiarity with Kubernetes, Docker, CI/CD automation, Deep understanding of Agentic AI concepts and GenAI co-pilots Hands-on experience with one of the platforms like: Amelia, Resolve, Ansible, Chef, Puppet, Nexthink, UIPath – for IT operations automation. Moveworks, Aisera, Amelia, ServiceNow Now Assist, Microsoft Copilot – for Agentic or Conversational AI Key Responsibilities: Design, develop, and implement Agentic AI solutions for IT operations (Infrastructure and Apps) Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions and Agentic AI use cases. Oversee the development and deployment of automation projects, ensuring they meet business objectives and are delivered on time. Stay updated with the latest trends and advancements in automation and Agentic AI technologies and incorporate them into the company's solutions. Conduct regular reviews and assessments of existing automation solutions to identify areas for improvement.

Job Description: We are looking for a Python Developer with basic knowledge in AI/ML model development using data sourced from internal/external databases . The ideal candidate should have experience in building, training, and deploying machine learning models using structured and unstructured data. You will work closely with data engineers and software developers to create AI-driven solutions that enhance our applications and business processes. Key Responsibilities: Develop and deploy AI models using Python and machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).Worked with internal databases (SQL, NoSQL) to extract, clean, and preprocess data for AI models.Design and implement data pipelines for training and inference.Optimise model performance and ensure scalability.Collaborate with software developers to integrate AI solutions into production systems.Ensure the security and integrity of AI-driven applications.Stay updated with the latest AI, ML, and data science trends. Required Skills & Qualifications: Strong proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, and Scikit-learn.Experience working with structured and unstructured data from relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Firebase) databases.Knowledge of ETL processes and data engineering concepts.Experience with API development for AI model integration using frameworks such as FastAPI and Django .Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployments.Strong understanding of data preprocessing, feature engineering, and model tuning.Ability to write clean, efficient, and scalable code.Experience with version control (Git) and Agile methodologies . Preferred Skills: Knowledge of Natural Language Processing (NLP) and LLM fine-tuning.Experience with MLOps tools and practices.Familiarity with big data technologies such as Spark, Hadoop.Understanding of deep learning architectures (CNNs, RNNs, Transformers).Practical experience building backend services with Django and FastAPI . Job Types: Full-time, Permanent Pay: From ₹12,000.00 per month Benefits: Flexible schedule Leave encashment Ability to commute/relocate: Bodakdev, Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Education: Secondary(10th Pass) (Preferred) Experience: Django: 1 year (Required) PYTHON AIML : 1 year (Required) Location: Bodakdev, Ahmedabad, Gujarat (Preferred) Work Location: In person

Job description Softvision College is seeking a highly motivated and qualified individual to join our team as an Assistant Professor in Computer Science department. The applicant must fulfill the norms of UGC/ AICTE and must have a strong academic background in computer science, a passion for teaching, and the ability to inspire and guide students towards academic excellence. Qualification: · A Master's degree (MCA / M.Tech / ME / M.Sc ) in Computer Science, Artificial Intelligence, Data Science, or a related field.PhD/NET/SET candidates will be given preference · Prior teaching experience at the undergraduate level, preferably in a BCA program. Job Details : 3+ years of experience in AI/ML development or instruction / training roles. Deep understanding of Agentic AI frameworks (e.g., Auto-GPT, BabyAGI, LangGraph, CrewAI) and Agentic AI systems (e.g., autonomous agents, multi-agent collaboration) Proficient in programming languages such as Python and frameworks, libraries like TensorFlow, PyTorch, LangChain, etc. Experience with LLM-based tools, APIs, and platforms (e.g., OpenAI, Anthropic, Hugging Face). Excellent communication, presentation, and instructional skills. · Good Command over subject. · Must have flair for English Language. · Must engage students in beyond curriculum teaching. Minimum years of experience : 0-2 years Name of college: Softvision College, World cup square, Indore(MP) Contact on: 9826424012, 9009571860 E-mail: Principal@softvision.co.in Job Type: Full-time Pay: From ₹20,000.00 per month Education: Master's (Preferred) Experience: Teaching: 1 year (Preferred) total work: 1 year (Preferred) Work Location: In person

Job Title: AI Engineer Location: Nipaniya , Indore Experience: 2–4 Years Industry: Information Technology Employment Type: Full-Time Job Summary: We are seeking a skilled and innovative AI Engineer to join our IT company and drive the development of intelligent systems and solutions. The ideal candidate will be responsible for designing, building, and deploying artificial intelligence models and machine learning algorithms to solve real-world problems across various industries. As an AI Engineer, you will work closely with data scientists, software developers, and business teams to create AI-powered applications, optimize performance, and ensure seamless integration into existing platforms. Key Responsibilities: Design and implement AI and machine learning models tailored to business requirements. Process, analyze, and interpret large datasets to identify patterns and trends. Develop, test, and deploy scalable machine learning pipelines and AI systems. Collaborate with cross-functional teams to integrate AI models into applications and products. Conduct research to stay up to date with the latest AI technologies, frameworks, and tools. Evaluate and improve the performance, accuracy, and efficiency of AI models. Document technical processes and maintain model version control. Key Skills & Requirements: Proven experience in AI/ML model development and deployment Strong programming skills in Python, R, or Java Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn Familiarity with data preprocessing, feature engineering, and model evaluation techniques Knowledge of cloud platforms (AWS, Azure, GCP) is a plus Excellent problem-solving and communication skills Educational Qualification: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Job Type: Full-time Pay: ₹15,446.64 - ₹40,286.01 per month

The Microsoft CoreAI Post-Training team is dedicated to advancing post-training techniques for both OpenAI and open-source models. Our work spans continual pre-training, fine-tuning, reinforcement learning at scale, and data curation. We contribute to both research and product development across Microsoft. We build and deploy cutting-edge AI technologies that integrate language and multi-modality into Microsoft products. Our team is especially active in developing code-focused models, such as those powering GitHub Copilot and Visual Studio Code. We are looking for a Machine Learning Engineer with a strong foundation in ML systems and a passion for deploying large-scale models in production. This role is ideal for someone who has experience working with LLMs or multimodal models and is eager to grow their expertise in building scalable, reliable ML infrastructure. Responsibilities Responsibilities Collaborate with senior engineers and researchers to build and optimize training and inference pipelines for LLMs, SLMs, multimodal, and code-specific models. Contribute to the deployment and monitoring of models in production environments. Write clean, efficient, and maintainable code for ML systems. Help improve inference performance, reliability, and scalability. Participate in rapid experimentation cycles and support integration with Microsoft products. Qualifications Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 2+ years of experience with Python and ML frameworks such as PyTorch or TensorFlow. Hands-on experience with training or fine-tuning LLMs or multimodal models. Familiarity with production ML systems and concepts like model serving, caching, batching, and monitoring. Understanding of distributed systems and cloud-based infrastructure. Preferred Qualifications Experience with containerization tools (e.g., Docker, Kubernetes). Exposure to MLOps or DevOps practices (CI/CD, automated testing, deployment). Interest in generative AI and open-source model ecosystems. Ability to work in a fast-paced, collaborative environment with a growth mindset. Strong communication and documentation skills. #AI Platform Hiring# Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

We are looking for an experienced and passionate Machine Learning Trainer who can deliver high-quality, hands-on training to students, making them industry-ready for roles in data science and artificial intelligence. The trainer should be comfortable teaching both theoretical foundations and practical applications using industry-relevant tools and technologies. Key Responsibilities: Design and deliver a structured curriculum in Machine Learning. Conduct engaging sessions covering both concepts and real-world case studies. Guide students through hands-on projects and practical assignments. Track student progress and provide regular, constructive feedback. Prepare students for job placements, including mock interviews and portfolio development. Key Requirements: Strong experience with machine learning tools and frameworks such as Python, scikit-learn, TensorFlow, PyTorch, etc. Proven background in designing and delivering training programs. Prior experience mentoring or training students or professionals in the field. Excellent communication and presentation skills. Ability to bridge the gap between academic learning and industry expectations. Location: Ramanand Arya D.A.V. College, Station Road, Datar Colony, Bhandup East, Mumbai – 400042, Maharashtra Batch Start Date: 11th August 2025 Batch Timings: Morning and Evening slots available Mode: Offline (In-person training only)

Company Description At the Syngenta Group, our 56,000 people across more than 90 countries strive every day to transform agriculture through tailor-made solutions for the benefit of farmers, society and our planet – making us the world's most local agricultural technology and innovation partner. Job Description Purpose Be integral part of the P&S Data Science team that applies technical expertise in data management, data science, machine learning, artificial intelligence, and automation to design, build, deploy, and maintain solutions across multiple countries. Work with project teams and SMEs to understand business requirements and develop appropriate data and AI/ML solutions. Contribute solutions with explorative, predictive- or prescriptive models, utilizing optimization, simulation, and machine learning techniques to existing and new projects. Work independently to build applications for data collection and processing, exploration and visualization, analysis, regression, classification, and generation as required by the project and business teams. Accountabilities Develop and implement complex statistical models, machine learning algorithms, and data mining techniques to extract insights from large datasets. Lead data science projects from conception to completion, defining scope, methodology, and deliverables. Collaborate with business leaders to translate data insights into actionable strategies and recommendations. Guide and mentor junior data scientists, fostering their professional development and technical skills. Contribute to the design and improvement of data architecture, pipelines, and storage solutions. Stay current with the latest advancements in data science and introduce new techniques or technologies to the organization. Establish and maintain standards for data quality, documentation, and ethical use of data. Present complex findings to both technical and non-technical audiences, including executive leadership. Address complex business challenges using data-driven approaches and creative solutions. Improve the efficiency and scalability of data processing and model deployment. Develop deep knowledge in Syngenta’s P&S operations to better contextualize data insights. Own the design, build, and deploy process including collaboration with users and multi-disciplinary teams to fulfil the user, business and technical requirements. Qualifications Required Knowledge & Technical Skills Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience). Understanding of ETL processes and data pipeline design. Required development skills: Data Science – TensorFlow Scikit-learn, SciPy, NumPy, Pandas, XGBoost, Keras, etc. Programming – Python with pytorch and tensorflow Data – SQL, EDA, Descriptive and Predictive analysis, visualization Preferred additional skills: Web services – RESTful APIs and API testing, JSON, etc. Front end – JavaScript, Flask, React, Node.js, Vue, Django, or other. Tools – Git, npm, pip, Heroku, or other tools. Knowledge and hands-on experience supervised and unsupervised ML using Logistic/multi-variate regression, Gradient Boosting, Decision Trees, Neural Network, Random Forest, Support Vector Machine, Naive Bayes, Time Series, Optimization, etc. Preference for proven experience in adapting algorithms to required models - Regression, Decision Trees, Random Forests, LLM. Preference for experience in production and supply domain: production planning, supply chain, logistics, track and trace, CRM, etc. Preference for experience in Deep Learning model development in agriculture, supply chain or related domains. Documentation of documentation of APIs, models, and operational manuals (Markdown, etc.). Must be able to work on end to end activities from design, development and deployment Required Experience Previous internship, placement, or project experience in data engineering, data science, software development, or a related field. Required 2 years experience of building data science projects using AI/ML models. Exposure to cloud platforms such as AWS, Azure, Google Cloud, or Data Bricks (preferred but not essential). Critical Success Factors Excellent communication and collaboration abilities to work within a team environment. Eagerness to learn and adapt to new tools and technologies in a fast-paced environment. Ability to manage a busy workload and multiple tasks, balancing parrallel projects through effective organisation and time management skills to ensure desired outcomes are fully achieved on time. Complete activities to a high standard, demonstrating a consistently high level of attention to detail. Additional Information Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status. Website address - https://www.syngentagroup.com/ LI page - https://www.linkedin.com/company/syngentagroup/posts/?feedView=all