Your day at NTT DATA Cloud AI/GenAI Engineer(ServiceNow) We are seeking a talented AI/GenAI Engineer to join our team in delivering cutting-edge AI solutions to clients. The successful candidate will be responsible for implementing, developing, and deploying AI/GenAI models and solutions on cloud platforms. This role requires knowledge of ServiceNow modules like CSM and virtual agent development. Candidate should have strong technical aptitude, problem-solving skills, and the ability to work effectively with clients and internal teams. What youll be doing Key Responsibilities: Cloud AI Implementation: Implement and deploy AI/GenAI models and solutions using various cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI) and frameworks (e.g., TensorFlow, PyTorch, LangChain, Vellum). Build Virtual Agent in SN Design, develop and deploy virtual agents using SN agent builder Integrate SN Design and develop seamless integration of SN with other external AI systems Agentic AI: Assist in developing agentic AI systems on cloud platforms, enabling autonomous decision-making and action-taking capabilities in AI solutions. Cloud-Based Vector Databases: Implement cloud-native vector databases (e.g., Pinecone, Weaviate, Milvus) or cloud-managed services for efficient similarity search and retrieval in AI applications. Model Evaluation and Fine-tuning: Evaluate and optimize cloud-deployed generative models using metrics like perplexity, BLEU score, and ROUGE score, and fine-tune models using techniques like prompt engineering, instruction tuning, and transfer learning. Security for Cloud LLMs: Apply security practices for cloud-based LLMs, including data encryption, IAM policies, and network security configurations. Client Support Support client engagements by implementing AI requirements and contributing to solution delivery. Cloud Solution Implementation: Build scalable and efficient cloud-based AI/GenAI solutions according to architectural guidelines. Cloud Model Development: Develop and fine-tune AI/GenAI models using cloud services for specific use cases, such as natural language processing, computer vision, or predictive analytics. Testing and Validation Conduct testing and validation of cloud-deployed AI/GenAI models, including performance evaluation and bias detection. Deployment and Maintenance Deploy AI/GenAI models in production environments, ensuring seamless integration with existing systems and infrastructure. Cloud Deployment Deploy AI/GenAI models in cloud production environments and integrate with existing systems. Education Bachelor/Masters in Computer Science, AI, ML, or related fields. Experience 3-5 years of experience in engineering solutions, with a track record of delivering Cloud AI solutions. . Should have at least 2 years experience of SN and SN agent builder Technical Skills: Proficiency in cloud AI/GenAI services and technologies across major cloud providers (AWS, Azure, GCP) Experience with cloud-native vector databases and managed similarity search services Experience with SN modules like CSM and virtual agent builder Experience with security measures for cloud-based LLMs, including data encryption, access controls, and compliance requirements Programming Skills: Strong programming skills in languages like Python or R Cloud Platform Knowledge: Strong understanding of cloud platforms, their AI services, and best practices for deploying ML models in the cloud Communication Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal teams. Problem-Solving Strong problem-solving skills, with the ability to analyse complex problems and develop creative solutions. Nice to have: Experience with serverless architectures for AI workloads Nice to have: Experience with ReactJS for rapid prototyping of cloud AI solution frontends Location: Delhi or Bangalore (with remote work options)

Designation: - ML / MLOPs Engineer Location: - Noida (Sector- 132) Key Responsibilities: • Model Development & Algorithm Optimization : Design, implement, and optimize ML models and algorithms using libraries and frameworks such as TensorFlow , PyTorch , and scikit-learn to solve complex business problems. • Training & Evaluation : Train and evaluate models using historical data, ensuring accuracy, scalability, and efficiency while fine-tuning hyperparameters. • Data Preprocessing & Cleaning : Clean, preprocess, and transform raw data into a suitable format for model training and evaluation, applying industry best practices to ensure data quality. • Feature Engineering : Conduct feature engineering to extract meaningful features from data that enhance model performance and improve predictive capabilities. • Model Deployment & Pipelines : Build end-to-end pipelines and workflows for deploying machine learning models into production environments, leveraging Azure Machine Learning and containerization technologies like Docker and Kubernetes . • Production Deployment : Develop and deploy machine learning models to production environments, ensuring scalability and reliability using tools such as Azure Kubernetes Service (AKS) . • End-to-End ML Lifecycle Automation : Automate the end-to-end machine learning lifecycle, including data ingestion, model training, deployment, and monitoring, ensuring seamless operations and faster model iteration. • Performance Optimization : Monitor and improve inference speed and latency to meet real- time processing requirements, ensuring efficient and scalable solutions. • NLP, CV, GenAI Programming : Work on machine learning projects involving Natural Language Processing (NLP) , Computer Vision (CV) , and Generative AI (GenAI) , applying state-of-the-art techniques and frameworks to improve model performance. • Collaboration & CI/CD Integration : Collaborate with data scientists and engineers to integrate ML models into production workflows, building and maintaining continuous integration/continuous deployment (CI/CD) pipelines using tools like Azure DevOps , Git , and Jenkins . • Monitoring & Optimization : Continuously monitor the performance of deployed models, adjusting parameters and optimizing algorithms to improve accuracy and efficiency. • Security & Compliance : Ensure all machine learning models and processes adhere to industry security standards and compliance protocols , such as GDPR and HIPAA . • Documentation & Reporting : Document machine learning processes, models, and results to ensure reproducibility and effective communication with stakeholders. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. • 3+ years of experience in machine learning operations (MLOps), cloud engineering, or similar roles. • Proficiency in Python , with hands-on experience using libraries such as TensorFlow , PyTorch , scikit-learn , Pandas , and NumPy . • Strong experience with Azure Machine Learning services, including Azure ML Studio , Azure Databricks , and Azure Kubernetes Service (AKS) . • Knowledge and experience in building end-to-end ML pipelines, deploying models, and automating the machine learning lifecycle. • Expertise in Docker , Kubernetes , and container orchestration for deploying machine learning models at scale. • Experience in data engineering practices and familiarity with cloud storage solutions like Azure Blob Storage and Azure Data Lake . • Strong understanding of NLP , CV , or GenAI programming, along with the ability to apply these techniques to real-world business problems. • Experience with Git , Azure DevOps , or similar tools to manage version control and CI/CD pipelines. • Solid experience in machine learning algorithms , model training , evaluation , and hyperparameter tuning Show more Show less

About The Role Grade Level (for internal use): 10 The Team : As a member of the Data Transformation - Cognitive Engineering team you will work on building and deploying ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead deployment of AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. What’s In It For You Be a part of a global company and build solutions at enterprise scale Lead a highly skilled and technically strong team (including leadership) Contribute to solving high complexity, high impact problems Build production ready pipelines from ideation to deployment Responsibilities Design, Develop and Deploy ML powered products and pipelines Mentor a team of Senior and Junior data scientists / ML Engineers in delivering large scale projects Play a central role in all stages of the AI product development life cycle, including: Designing Machine Learning systems and model scaling strategies Research & Implement ML and Deep learning algorithms for production Run necessary ML tests and benchmarks for model validation Fine-tune, retrain and scale existing model deployments Extend existing ML library’s and write packages for reproducing components Partner with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Interpret results and present them to business leaders Manage production pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Lead and mentor by example, including project scrums Technical Requirements Proven track record as a senior / lead ML engineer Expert proficiency in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Excellent exposure to large scale model deployment strategies and tools Excellent knowledge of ML & Deep Learning domain Solid exposure to Information Retrieval, Web scraping and Data Extraction at scale Exposure to the following technologies - R-Shiny/Dash/Streamlit, SQL, Docker, Airflow, Redis, Celery, Flask/Django/FastAPI, PySpark, Scrapy Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Open to learning new technologies and programming languages as required A Master’s / PhD from a recognized institute in a relevant specialization Good To Have 6-7+ years of relevant experience in ML Engineering Prior substantial experience from the Economics/Financial industry Prior work to show on Github, Kaggle, StackOverflow etc. What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 315679 Posted On: 2025-05-20 Location: Gurgaon, Haryana, India Show more Show less

About The Role Grade Level (for internal use): 11 The Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s In It For You Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What We’re Looking For 7+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315680 Posted On: 2025-05-20 Location: Gurgaon, Haryana, India Show more Show less

Job Description Join a fast-paced, innovation-driven environment where you'll build intelligent software systems and receive direct AI/ML training. This is a unique opportunity for B.Tech graduates who are passionate about programming and eager to work on real-world AI solutions under world-class mentorship. Key Responsibilities Design and develop scalable Python-based applications Work closely with the AI team to build and integrate ML models Write clean, efficient, and maintainable code Participate in architecture and design discussions Debug, optimize, and improve existing systems Continuously learn and implement best practices in software engineering Required Qualifications B.Tech in Computer Science, IT, or related fields (Mandatory) Proficient in Python and strong understanding of OOP, data structures, and algorithms Familiarity with databases, REST APIs, and version control systems (e.g., Git) Bonus: Knowledge of AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn Eagerness to learn and grow in the AI domain Knowledge of networking protocols such as SNMP, ICMP Knowledge of subnetting and IP addressing Must be willing to work full-time on-site in Ahmedabad Why Join Us? Founded by a Google PhD (California) In-house AI/ML training and mentorship Work on live AI projects High learning curve and career growth Smart, ambitious team with a strong technical focus Job Details Job Type: Full-Time Location: Ahmedabad, Gujarat (On-Site Only) Experience Level: 0–4 years Education: B.Tech (Mandatory) Benefits: Flexible schedule Health insurance Location Type: In-person Schedule: Day shift Application Question(s): B.Tech Experience: Python: 5 years (Required) Total work: 6 years (Preferred) Location: Ahmedabad, Gujarat (Preferred) Work Location: In person Job Type: Full-time Pay: ₹200,000.00 - ₹500,000.00 per year Benefits: Flexible schedule Health insurance Location Type: In-person Schedule: Day shift Application Question(s): B.Tech Education: Bachelor's (Required) Experience: Python: 5 years (Required) total work: 6 years (Preferred) Location: Ahmedabad, Gujarat (Preferred) Work Location: In person

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Generative & Agentic AI Build and deploy GenAI models for text generation and content automation. Experience on working latest AI stacks like Nvidia- Nemo, NIM Microservices, Unsloth, Pytorch, Tensorflow etc. Develop agentic AI systems with autonomous task planning and decision-making capabilities.2. Large Language Models (LLMs) Fine-tune and operationalize LLMs (e.g., GPT, Llama, BERT) for NLP tasks using Nemo, NIM, Unsloth etc frameworks Establish the best practices for LLMOps, including prompt engineering and monitoring. Develop solution based on latest coding standards like Pep-83. Deep Learning and NLP components Experience in developing like QnA, chatbots, Image/Video/Audio processing, OCR based components like Extraction etc. Experience in designing and implementing end-to-end pipelines for Retrieval-Augmented Generation (RAG), including document indexing, retrieval mechanisms Experience in evaluating AI solutions using appropriate metrics Qualifications Bachelors or master’s in computer science, Artificial Intelligence, or a related field2. 7+ years of experience in AI/ML, NLP, Deep Learning, Gen AI, Model fine tuning, Reinforcement learning, etc. Show more Show less

Job Title: Senior Python Developer (AI & API Development) About the Role We are looking for a Senior Python Developer with a passion for AI research and API development to join our growing team. In this role, you will be responsible for building scalable, high-performance APIs and contributing to AI/ML research and implementation. You will work closely with data scientists, researchers, and product teams to design and deploy intelligent systems that power our next-generation applications. Key Responsibilities Design, develop, and maintain Python-based APIs for AI/ML models and services Collaborate with AI researchers to implement and optimize machine learning models Conduct research into new AI/ML techniques and evaluate their applicability to business problems Build RESTful and GraphQL APIs using frameworks like FastAPI , Flask , or Django REST Framework Write clean, testable, and maintainable Python code with a focus on performance and scalability Participate in code reviews , mentor junior developers, and contribute to best practices Integrate AI models with backend systems and frontend applications Stay up-to-date with AI/ML trends , Python libraries (e.g., PyTorch , TensorFlow , Scikit-learn ), and API design patterns Work in an agile environment , delivering high-quality software in iterative sprints Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field 4 + years of professional experience in software development, with 3 + years in Python Strong experience with Python web frameworks (e.g., FastAPI, Flask, Django) Hands-on experience with AI/ML model deployment and integration Familiarity with machine learning libraries such as TensorFlow , PyTorch , or Scikit-learn Experience with API design and development , including REST and GraphQL Solid understanding of software architecture , design patterns , and best practices Excellent problem-solving skills and attention to detail Strong communication skills and the ability to work in a collaborative, cross-functional team Bonus: Experience with Docker , Kubernetes , CI/CD pipelines , and cloud platforms (AWS, GCP, Azure) What We’re Looking For in a Candidate A curious mind with a passion for AI and software development A team player who can mentor and guide others A self-starter who can take initiative and deliver results A lifelong learner who stays current with emerging technologies and trends Why Join Us? Work on cutting-edge AI projects with real-world impact Collaborate with top-tier researchers and engineers Flexible work environment and remote-friendly options Competitive salary and performance-based incentives Opportunities for professional growth and leadership A culture that values innovation, collaboration, and continuous learning Salary : Upto 6 LPA Show more Show less

About About SKF SKF started its operations in India in 1923. Today, SKF provides industry leading automotive and industrial engineered solutions through its five technology-centric platforms: bearings and units, seals, mechatronics, lubrication solutions and services. Over the years the company has evolved from being a pioneer ball bearing manufacturing company to a knowledge-driven engineering company helping customers achieve sustainable and competitive business excellence. SKF's solutions provide sustainable ways for companies across the automotive and industrial sectors to achieve breakthroughs in friction reduction, energy efficiency, and equipment longevity and reliability. With a strong commitment to research-based innovation, SKF India offers customized value-added solutions that integrate all its five technology platforms. To know more, please visit: www.skf.com/in SKF Purpose Statement Together, we re-imagine rotation for a better tomorrow. By creating intelligent and clean solutions for people and the planet Description JOB DESCRIPTION Job Title : AI developer Reports To: Product owner - Digitalization, Aerospace Role Type : Individual Contributor Location : Bangalore Role Purpose : We are seeking a talented and motivated AI Developer to join our dynamic Aerospace digital team. The ideal candidate will be responsible for developing Generative AI solutions and Machine Learning (ML) solutions for various business use cases. This role requires a deep understanding of AI and ML technologies, strong problem-solving skills, and the ability to work collaboratively with cross-functional teams Key Responsibilities: Develop and implement Generative AI solutions to address complex business challenges. Design, build, and deploy Machine Learning models for various business use cases. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Conduct data analysis and preprocessing to prepare datasets for training and evaluation. Optimize and fine-tune AI and ML models to improve performance and accuracy. Stay up to date with the latest advancements in AI and ML technologies and apply them to enhance existing solutions. Work closely with other developers, data scientists, and engineers to integrate AI solutions into existing systems and workflows. Document and present technical solutions and project progress to stakeholders Profile Requirements: Master’s degree in computer science, AI, or a related field. Proven experience in developing AI and ML solutions, with a strong portfolio of projects. Proficiency in programming languages such as Python, R, or Java, JS Experience with AI and ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc. Expertise in Azure technologies (Azure ML, Azure Kubernetes, Azure Data Factory), Azure Storage (Vector database, Data Lake, Cosmo DB, Blob) Strong understanding of data structures, algorithms, and software design principles. Excellent problem-solving skills and the ability to think critically and creatively. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Candidate Profile: Experience in years : Minimum 0 - 4 years of experience. Education : Master’s degree in computer science, AI, or a related field. About SKF SKF has been around for more than a century and today we are one of the world’s largest global suppliers of bearings and supporting solutions for rotating equipment. With more than 40,000 employees in around 130 countries, we are truly global. Our products are found everywhere in society. In fact, wherever there is movement, SKF’s solutions might be at work. This means that we are an important part of the everyday lives of people and companies around the world. See more, at www.skf.com. Show more Show less

This is NewCold NewCold is a service provider in cold chain logistics with a focus on development and operation of large, highly automated cold stores. NewCold strives to be crucial in the cold chain of leading food companies, by offering advanced logistic services worldwide. NewCold is one of the fastest growing companies (over 2,000 employees) in the cold chain logistics and they are expanding teams to support this growth. They use the latest technology that empowers people, to handle food responsibly and guarantee food safety in a sustainable way. They challenge the industry, believe in long-term partnerships, and deliver solid investment opportunities that enable next generation logistic solutions. NewCold has leading market in-house expertise in designing, engineering, developing and operating state-of-the-art automated cold stores: a result of successful development and operation of over 15 automated warehouses cross three continents. With the prospect of many new construction projects around the world in the very near future, this vacancy offers an interesting opportunity to join an internationally growing and ambitious organization. Job Title: AI Associate-Machine Learning Location: Bengaluru Experience: 1-2 Years Compensation: Up to 15 Lakhs PA Position: AI Associate – Machine Learning Join our growing AI team as an AI Associate (ML) and build real-world machine learning solutions that directly impact business performance. This is an exciting opportunity to work with experienced professionals, apply your skills to live data problems, and grow your career in a fast-paced, collaborative environment. Your Role: You’ll help design, train, and deploy ML models that power applications in supply chain, logistics, finance, and operations. From predicting delivery times to detecting anomalies in large datasets, your work will drive smarter decision-making. What You’ll Do: Build ML models for forecasting, classification, clustering, and anomaly detection using real business data. Work on the full ML lifecycle: data prep, feature engineering, model selection, evaluation, and deployment. Collaborate with cross-functional teams (engineering, data, operations) to understand business needs and build ML-driven solutions. Deploy and monitor models in production environments using APIs and MLOps tools. Document experiments and contribute to reusable ML components and workflows. What We’re Looking For: B.Tech / M.Tech in Computer Science, Engineering, or related fields. 1 -2 years of experience applying machine learning in real-world scenarios. Strong programming skills in Python and familiarity with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch, etc.). Hands-on experience working with structured and semi-structured data. Familiarity with cloud platforms (Azure preferred) and tools for ML deployment. Bonus: Experience with time series, anomaly detection, or working in supply chain/logistics. Why Join Us? Be part of a growing AI team solving real industry challenges. Work on high-impact projects with supportive mentors and strong learning culture. Gain experience in production ML pipelines and cloud deployment at scale. Access opportunities to grow in computer vision, LLMs, or advanced MLOps. Show more Show less

Hello, Urgent job openings for Data Science - Director @ GlobalData(Hyderabad) Job Description given below please go through to understand the requirement. if requirement is matching to your profile & interested to apply please share your updated resume @ mail id (m.salim@globaldata.com). Mention Subject Line :- Applying for Data Science - Director @ GlobalData(Hyd) Share your details in the mail :- Your Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Work Experience in Data Science Years : Python Experience Years : Gen AI/LLM Experience Years : Team/Project size handled : Current CTC : Expected CTC : Notice Period : Current Location/willing to relocate to Hyd? : Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana-500081. Job Description :- Role : Data Science and LLM Director Overview This combined role leads the organization's data science initiatives with a special focus on Large Language Models (LLMs), generative AI technologies, and intelligent automation. The position requires strategic leadership in data-driven decision making, specialized expertise in implementing cutting-edge AI language models, and proficiency in developing automated solutions to transform business operations and enhance organizational efficiency. Core Responsibilities :- Leadership & Strategy Lead and mentor a team of data scientists, ML and Python engineers, and automation specialists, fostering a culture of innovation, collaboration, and continuous learning Develop and execute the organization's data science, generative AI, and automation vision, strategy, and roadmap aligned with business objectives Identify and prioritize high-impact opportunities where data science, LLMs, and automation can drive business value and operational efficiency Partner with senior executives to ensure AI and automation initiatives support broader organizational goals Establish governance frameworks, ethical guidelines, and best practices for responsible AI deployment and automated process implementation Drive automation strategy to streamline workflows, reduce manual processes, and enhance productivity across data science operations Technical Direction Design scalable data processing pipelines and architecture for analytics, modeling, LLM implementation, and automated workflows Oversee the evaluation, fine-tuning, and deployment of large language models for specific business applications Drive implementation of data science, LLM, and automation solutions across various business functions including customer service, content generation, knowledge management, and process optimization Develop and implement intelligent automation strategies to streamline data workflows, model deployment, and operational processes Balance innovation with practicality, selecting appropriate technologies and automation tools based on business needs and ROI Guide the integration of LLMs with existing data infrastructure, systems, and automated processes Establish automated monitoring using Python , testing, and deployment pipelines for AI/ML models and data science solutions Applied Data Science Lead the development of predictive models, machine learning solutions, and LLM applications Ensure data quality and appropriate data management practices across initiatives Direct the collection of new data and refinement of existing data sources to improve model performance Oversee experimentation and validation processes to evaluate solution effectiveness Facilitate the translation of complex analytical findings into actionable business insights Communication & Education Present findings and recommendations to key stakeholders through reports and presentations Serve as the organization's point person for generative AI knowledge and applications Develop educational resources and training programs to build data science and AI literacy Communicate complex technical concepts to non-technical stakeholders in clear, understandable terms Prepare white papers, case studies, and other materials showcasing data science and LLM successes Qualifications, Education & Experience Master's or B,tech in Computer Science, Statistics, Mathematics, Data Science, Machine Learning or related quantitative field 10+ years of experience in data science, with at least 3+ years focusing on natural language processing or LLMs 7+ years of experience managing technical teams and leading complex projects 5+ years of hands-on experience in automation, process optimization, and workflow automation tools 8+ years of advanced Python programming experience, including data science libraries, automation frameworks, and ML/AI development Demonstrated success implementing data science and automation solutions that deliver measurable business impact Experience with large language model deployment, fine-tuning, and evaluation Proven track record in developing and implementing automated data pipelines, ML model deployment, and intelligent process automation using Python Technical Skills Expert-level programming skills in Python and proficiency with data science/ML libraries Strong background in machine learning, deep learning, and statistical analysis Hands-on experience with LLM frameworks such as PyTorch, TensorFlow, or Hugging Face Experience with MLOps and the automation of model training, evaluation, and deployment Proficiency with cloud platforms (AWS, GCP, Azure) and big data technologies Knowledge of data visualization tools and techniques for effective communication Leadership & Soft Skills Strategic thinking and business acumen with ability to align technical solutions to business needs Exceptional communication skills for conveying technical concepts to diverse audiences Experimental mindset with ability to balance innovation with practical implementation Strong project management capabilities and experience with agile methodologies Collaborative approach to working with cross-functional teams and stakeholders Key Performance Indicators Development and execution of data science and LLM strategy with measurable business impact Successful implementation of LLM-powered solutions that improve operational efficiency Quality and effectiveness of data science team output and deliverables Adoption of data-driven decision making across the organization Creation of scalable, sustainable data science and AI infrastructure This role reports directly to the Chief Technology Officer (or equivalent) and works closely with executives across Product, Engineering, Marketing, and Customer Success to drive data-powered innovation and business growth. Thanks & Regards, Salim (Human Resources) Role: Head - Data Science Industry Type: Software Product Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: B.Tech/B.E. in Any Specialization PG: MS/M.Sc(Science) in Computers, MCA in Any Specialization, M.Tech in Any Specialization Show more Show less

Job Title : Data Science Location : Hyderabad, Kondapur Experience : 3-7 Years Skills: Data Science, Machine Learning, Gen AI, LLM Key Responsibilities:- Design and implement sophisticated AI applications leveraging state-of-the-art LLM technologies Develop efficient solutions for LLM integration, fine-tuning, and deployment Optimize model performance, latency, and resource utilization Build and maintain robust data pipelines for training and inference Implement advanced prompt engineering techniques and retrieval-augmented generation (RAG) Develop evaluation frameworks to measure AI system performance and output quality Collaborate with cross-functional teams to understand requirements and deliver solutions Mentor junior developers and share AI/LLM knowledge across the organization Participate in code reviews and ensure adherence to best practices. Requirement :- 5+ years of software development experience with at least 3 years focused on AI/ML technologies Strong experience working with transformer-based models and LLM APIs Proficiency in Python and relevant AI/ML frameworks (PyTorch, TensorFlow, Hugging Face) Experience with vector databases and semantic search technologies Solid understanding of prompt engineering, RAG, and fine-tuning techniques Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment Strong problem-solving skills and attention to detail.' Experience with LLM optimization techniques like quantization and distillation Knowledge of AI evaluation metrics and benchmarking methodologies Understanding of multimodal AI systems (text, image, audio) Experience with containerization and orchestration tools (Docker, Kubernetes) Contributions to open-source AI projects or research publications Familiarity with AI ethics and responsible AI development Qualifications:- Bachelors degree in computer science, AI, Machine Learning, or related field Master's in AI, B,Tech,MCA, or related field Show more Show less

Job Description Job summary: J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science function is at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Our team leverages advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to transform how we manage compliance, conduct, and operational risks across the organization. Join our CCOR Data Science team as a Lead Data Scientist, where you will play a crucial role in developing AI/ML solutions to enhance compliance and risk management. Your primary responsibilities will include leveraging advance AI / ML techniques, LLMs and Agentic AI to develop and deploy models for various tasks such as anomaly detection, risk assessment, and compliance monitoring. You will work with diverse datasets to improve our risk management processes and ensure regulatory compliance. As part of a leading analytics community, you will have opportunities for skill development and career growth in AI, machine learning, and data science. Job Responsibilities Design, deploy, and manage AI/ML models, leverages advance AI/ML techniques, LLMs and Agentic AI for developing compliance and risk management related solution. Conduct research on AI techniques to enhance model performance in the compliance and risk domains. Collaborate with cross-functional teams to identify requirements, develop solutions, and deploy models in the production system. Communicate technical concepts effectively to both technical and non-technical stakeholders. Develop and maintain tools and frameworks for model training, evaluation, and optimization. Analyze and interpret data to evaluate model performance and identify areas for improvement. Required Qualifications, Capabilities, And Skills Master’s degree in quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics etc. from top tier Universities. At least 12+ years of Experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI. Programming skills in Python, with experience in frameworks like PyTorch or TensorFlow. Thorough knowledge of machine learning concepts, including transformers and language modeling. Experience in data pre-processing, feature engineering, and data analysis. Excellent problem-solving skills and the ability to communicate ideas and results clearly. Familiarity with data structures and algorithms for effective problem-solving in machine learning workflows. About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Show more Show less

We're seeking a talented LLM App Senior Developer with a strong foundation in Python and JavaScript and Azure / AWS Cloud to join our team. The ideal candidate will have a passion for leveraging the power of LLMs to create innovative and efficient applications. Job Description: Responsibilities : Develop and maintain LLM-powered applications using Python/JavaScript on Azure or AWS cloud platforms. Integrate LLM apps with foundational models using multiple techniques and methods Design and develop Virtual Assistants, AI Workflows, and other LLM-powered apps that interface with a variety of different LLM models Leverage external data and content sources to ground LLM outputs Design and implement Integrations and APIs to augment the LLM Collaborate with cross-functional teams to understand business requirements and deliver solutions that meet their needs. Stay up to date with the latest advancements in LLM technology and cloud platforms. Required Skills (Must Have): Language: Strong proficiency in Python programming language. Cloud LLM API: Expertise with Azure OpenAI or AWS Bedrock service, foundation models, and integration Vector DB: Expertise with Azure AI Search service, or otherwise with AWS OpenSearch / Kendra for AI Search queries Prompt engineering: Strong Expertise with Prompt engineering and Prompt Design, including multiple prompting methods, for LLM apps Patterns RAG Expertise with building end-to-end RAG (Retrieval Augmented Generation) pipelines, using vector databases, LLM models, and tool integrations Experience with building conversational virtual assistants and chatbots Understanding of API integration and data workflows LLM framework: Experience with at least one LLM framework – Langchain, Llamaindex, or other LLM models - In-depth knowledge of LLM models and their applications. Advanced LLM/AI Development skills Experience with Agentic Architectures and AI Agents, and ability to create a solution using agents on either Azure or AWS Cloud Ability to design and develop scalable and efficient applications. Serverless: Experience with Azure Function Apps or AWS Lamba functions Cloud: Experience with Azure or AWS cloud platforms Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Preferred Skills (Good to Have): Experience with AI Workflows and Low-Code AI Workflow Builder tools, such as Copilot Studio, Azure Prompt Flows, AWS Prompt Flows Knowledge of AI Agents and building intelligent solutions using AI agent orchestrations. Knowledge of AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of building cloud services and cloud back-end integrations using Serverless models Familiarity with data extraction and transformation techniques. Experience with natural language processing (NLP) tasks. Qualifications : Bachelor’s degree in computer science, Computer Engineering, or a related field. 3+ years of experience in software development. Experience with LLM applications and cloud platforms. Strong understanding of software development methodologies (e.g., Agile). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent Show more Show less

So, what’s the role all about? NICE provides state-of-the-art enterprise level AI and analytics for all forms of business communications between speech and digital. We are a world class research team developing new algorithms and approaches to help companies with solving critical issues such as identifying their best performing agents, preventing fraud, categorizing customer issues, and determining overall customer satisfaction. If you have interacted with a major contact center in the last decade, it is very likely we have processed your call. The research group partners with all areas of NICE’s business to scale out the delivery of new technology and AI models to customers around the world that are tailored to their company, industry, and language needs. How will you make an impact? Conduct cutting-edge research and develop advanced NLP algorithms and models. Build and fine-tune deep learning and machine learning models, with a focus on large language models. Work closely with internal stakeholders to define model requirements and ensure alignment with business objectives. Develop AI predictive models and perform data and model accuracy analyses. Produce and present findings, technical concepts, and model recommendations to both technical and non-technical stakeholders. Develop and maintain scripts/tools to automate both new model production and updates to existing model packages. Stay abreast of the latest advancements in data science research and contribute to the development of our knowledge base. Collaborate with developers to design automation and tool improvements for model building. Maintain documentation of processes and projects across all supported languages and environments. Have you got what it takes? Master's degree in the field of Computer Science, Technology, Engineering, Math, or equivalent practical experience Minimum of 8 years of data science work experience, including implementing machine learning and NLP models using real-life data. Experience with Retrieval-Augmented Generation (RAG) pipelines or LLMOps. Advanced knowledge of statistics and machine learning algorithms. Proficiency in Python programming and familiarity with R. Experience with deep learning models and libraries such as PyTorch, TensorFlow, and JAX. Familiarity with relational databases and query languages (e.g., MSSQL) and basic SQL knowledge. Hands-on experience with transformer models (BERT, FlanT5, Llama, etc.) and GenAI frameworks (HuggingFace, LangChain, Ollama, etc.). Experience deploying NLP models in production environments, ensuring scalability and performance using AWS/GCP/Azure Strong verbal and written communication skills, including effective presentation abilities. Ability to work independently and as part of a team, demonstrating analytical thinking and problem-solving skills. You will have an advantage if you also have: Expertise with Big Data technologies (e.g., PySpark). Background in knowledge graphs, graph databases, or GraphRAG architectures. Understanding of multimodal models (text, audio, vision). Experience in Customer Experience domains. Experience with package development and technical writing. Familiarity with tools like Jira, Confluence, and source control packages and methodology. Knowledge and interest in foreign languages and linguistics. Experience working on international, globe-spanning teams and with AWS. Past participation in a formal research setting. Experience as part of a software organization. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID : 7481 Reporting into : Tech Manager Role Type : Individual Contributor

About Jivi Jivi is transforming primary healthcare with an AI-powered clinical agentic platform designed for 8 billion people. Our flagship product, a super health app, combines an AI doctor and longevity coach. It provides a full-stack solution covering sickness, prevention, and wellness. In just six months, 500,000 users from 170+ countries have already used Jivi. The company was founded by Ankur Jain (BharatPe, WalmartLabs, Stanford), GV Sanjay Reddy (Reddy Ventures, Aragen), and Andrew Ng 's AI Fund (Coursera, DeepLearning). Together, they bring deep expertise in AI, medicine, and scaling billion-dollar ventures. Jivi is powered by groundbreaking research in Large Language Models (LLMs). Our MedX model is ranked #1 globally, surpassing OpenAI and Google Gemini in diagnostic accuracy. Additionally, our AudioX model boasts the lowest word error rate for Indic languages. Jivi’s health knowledge base, one of the largest in the world, plays a key role in training these models. In the spirit of fostering innovation, we’ve open-sourced these models on Hugging Face for the AI community. Jivi has been recognized for its innovation with awards such as the NASSCOM’s Digital Adoption Pioneer Award and the IndiaAI Mission Award. We are proud to be a global leader in AI healthcare. Job Overview In this role, you will design and implement AI algorithms, develop machine learning models, and contribute to the core AI technology powering our healthcare solutions. You will be responsible for analyzing large datasets to extract meaningful insights, which will inform healthcare decisions and improve patient outcomes. As an AI Applied Researcher, you will play a pivotal role in advancing the impact of AI in healthcare. Key Responsibilities AI/ML Model Development: Design, develop, and deploy machine learning or large language (LLM) models Strong Analytical Skills: Apply your analytical expertise to extract actionable insights from complex datasets and leverage AI to address real-world problems. Data Analysis and Preprocessing: Handle data collection, cleaning, preprocessing, and exploratory data analysis to ensure data readiness and quality for modeling. Model Evaluation and Validation: Assess model performance using relevant metrics and validate outcomes through comprehensive testing. Collaboration: Work collaboratively with cross-functional teams, including data engineers, software developers, and domain experts, to understand requirements and deliver impactful solutions. Healthcare Domain Knowledge (Optional): While not mandatory, a background in healthcare, medical imaging, or related fields is a valuable asset. Technical Skills Programming Skills: Proficiency in Python, with experience in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Familiarity with TensorRT and NVIDIA Triton Server is a plus. Model Expertise: Deep experience with Convolutional Neural Networks (CNNs), diffusion models, transformers, as well as segmentation, object detection, and classification models, including CLIP or similar models. Multimodal Proficiency: Strong knowledge and experience with large language models (LLMs) and multimodal AI approaches. Algorithmic Understanding: Comprehensive understanding of a wide array of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning techniques. Experience & Qualifications Work Experience: At least 3+ years of proven experience as an AI researcher/engineer or in a data science role Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience). Why Work with Jivi? Make a Global Impact : Shape AI-driven healthcare solutions that transform billions of lives and revolutionize global wellness. Accelerate Your Career : Enjoy competitive salaries, growth opportunities, and the chance to take on leadership roles as Jivi scales. Lead in a High-Growth Environment : Own key initiatives, influence company strategy, and drive impactful health projects in a dynamic, fast-paced setting. Collaborate with the Best : Work alongside top professionals in AI and healthcare, learn from experts, and contribute to breakthrough innovations. Jivi’s Products: Jivi is available as a mobile app or as an AI assistant on WhatsApp. You can access Jivi: iOS app Android app WhatsApp Jivi in Media: Economic Times - https://tinyurl.com/m3kep5at Reuters - https://tinyurl.com/mpcs6dpx Inc42 - https://tinyurl.com/emsdas55 Many more - https://www.jivi.ai/news Show more Show less

About Our Company: Aerocraft Engineering India PVT Ltd based in Ahmedabad, provides services to US based Architecture, Engineering and Construction group of companies: Russell and Dawson – An Architecture/Engineering/Construction firm (www.rdaep.com) United-BIM – BIM Modeling Services Firm (www.united-bim.com) AORBIS – Procurement as a Service Provider (www.aorbis.com) For AORBIS business, we are looking for experienced Python & AI/ML Developers to design, develop, test, and maintain our Python-based internal web application with a focus on Artificial Intelligence/Machine Learning (AI/ML) technologies. Position: Senior Python & AI/ML Developer Location: Work from Office, Ahmedabad (S G Highway, Makarba) Timings: 12pm to 9pm - Monday to Friday Experience: Minimum 2-6 years Job Location: Ahmedabad (Siddhivinayak Towers, Makarba) Responsibilities: Design and Deploy AI-driven solutions Lead, mentor, and inspire a team of computer vision engineers. Foster a collaborative and innovative work environment. Design and implement computer vision algorithms for geospatial data analysis. Drive the development of Machine Learning Models to automate PDF and construction design analysis. Stay abreast of the latest developments in computer vision, AI, and geospatial technology. Innovate and contribute to the development of new and improved algorithms. Collaborate with Product Managers, Software Engineers, and other stakeholders to integrate AI solutions into our platform. Provide technical leadership and guidance on AI-related projects. Research a combination of primary and secondary research to build an understanding of customer/ internal platform users, their needs, and pain points. Solutioning -developing a hypothesis based on the research, iterating to define product requirements. Designing- working with the design team to translate the product requirements into a delightful UX and UI. Execution -working proactively with engineering teams to build out the product in the most efficient way. Gathering feedback- designing methods to understand how users are using the product, through product analytics, surveys, and conversations. Identifying relevant and impactful feedback and incorporating it in the product roadmap Stakeholder management. Independent long-term thinking -taking a step back from the daily hustle to think about the long-term future of your products. Mentoring - guiding a team of junior APMs and ensuring they are able to grow and take more ownership of product areas. Skills Required: Minimum 5 years of experience in computer vision and handling a team High proficiency in Python / LLM or similar programming language (LLM Mandatory) Applicant should be preferably skilled in image/PDF processing libraries like OpenCV, dLib Open GL, scikit - learn and TensorFlow, PyTorch, Caffe, Keras, Point Cloud Library and Basic Python Libraries (numpy, panda, os). Experience with machine learning especially classification algorithms is required (e.g. k-nn, support vector machine) as well as experience in processing multispectral data Experience with cloud-based (AWS/Azure/GCP) implementation of computer vision solutions. Ability to research and prototype new algorithms. Experience in using Source Control / Project Tracking systems (Github, Jira). Experience in image segmentation, object, and motion detection, tracking, and classification. Benefits: Exposure to US Projects/Design/Standards Company provides Dinner/Snacks/Tea/Coffee Reimbursable Health Insurance 15 paid leave annually & 10 Public Holidays Show more Show less

About Us: Athena is India's largest institution in the "premium undergraduate study abroad" space. Founded 10 years ago by two Princeton graduates, Poshak Agrawal and Rahul Subramaniam, Athena is headquartered in Gurgaon, with offices in Mumbai and Bangalore, and caters to students from 26 countries. Athena’s vision is to help students become the best version of themselves. Athena’s transformative, holistic life coaching program embraces both depth and breadth, sciences and the humanities. Athena encourages students to deepen their theoretical knowledge and apply it to address practical issues confronting society, both locally and globally. Through our flagship program, our students have gotten into various, universities including Harvard University, Princeton University, Yale University, Stanford University, University of Cambridge, MIT, Brown, Cornell University, University of Pennsylvania, University of Chicago, among others. Learn more about Athena: https://www.athenaeducation.co.in/article.aspx Role Overview We are looking for an AI/ML Engineer who can mentor high-potential scholars in creating impactful technology projects. This role requires a blend of strong engineering expertise, the ability to distill complex topics into digestible concepts, and a deep passion for student-driven innovation. You’ll help scholars explore the frontiers of AI—from machine learning models to generative AI systems—while coaching them in best practices and applied engineering. Key Responsibilities: Guide scholars through the full AI/ML development cycle—from problem definition, data exploration, and model selection to evaluation and deployment. Teach and assist in building: Supervised and unsupervised machine learning models. Deep learning networks (CNNs, RNNs, Transformers). NLP tasks such as classification, summarization, and Q&A systems. Provide mentorship in Prompt Engineering: Craft optimized prompts for generative models like GPT-4 and Claude. Teach the principles of few-shot, zero-shot, and chain-of-thought prompting. Experiment with fine-tuning and embeddings in LLM applications. Support scholars with real-world datasets (e.g., Kaggle, open data repositories) and help integrate APIs, automation tools, or ML Ops workflows. Conduct internal training and code reviews, ensuring technical rigor in projects. Stay updated with the latest research, frameworks, and tools in the AI ecosystem. Technical Requirements: Proficiency in Python and ML libraries: scikit-learn, XGBoost, Pandas, NumPy. Experience with deep learning frameworks : TensorFlow, PyTorch, Keras. Strong command of machine learning theory , including: Bias-variance tradeoff, regularization, and model tuning. Cross-validation, hyperparameter optimization, and ensemble techniques. Solid understanding of data processing pipelines , data wrangling, and visualization (Matplotlib, Seaborn, Plotly). Advanced AI & NLP Experience with transformer architectures (e.g., BERT, GPT, T5, LLaMA). Hands-on with LLM APIs : OpenAI (ChatGPT), Anthropic, Cohere, Hugging Face. Understanding of embedding-based retrieval , vector databases (e.g., Pinecone, FAISS), and Retrieval-Augmented Generation (RAG). Familiarity with AutoML tools , MLflow, Weights & Biases, and cloud AI platforms (AWS SageMaker, Google Vertex AI). Prompt Engineering & GenAI Proficiency in crafting effective prompts using: Instruction tuning Role-playing and system prompts Prompt chaining tools like LangChain or LlamaIndex Understanding of AI safety , bias mitigation, and interpretability. Required Qualifications: Bachelor’s degree from a Tier-1 Engineering College in Computer Science, Engineering, or a related field. 2-5 years of relevant experience in ML/AI roles. Portfolio of projects or publications in AI/ML (GitHub, blogs, competitions, etc.) Passion for education, mentoring , and working with high school scholars. Excellent communication skills, with the ability to convey complex concepts to a diverse audience. Preferred Qualifications: Prior experience in student mentorship, teaching, or edtech. Exposure to Arduino, Raspberry Pi, or IoT for integrated AI/ML projects. Strong storytelling and documentation abilities to help scholars write compelling project reports and research summaries. Show more Show less

Job Title: AI Lead - Video & Image Analytics, GenAI & NLP (AWS) Location: Chennai Company: Datamoo AI About Us: Datamoo AI is an innovative AI-driven company focused on developing cutting-edge solutions in workforce and contract management, leveraging AI for automation, analytics, and optimization. We are building intelligent systems that enhance business efficiency through advanced AI models in video analytics, image processing, Generative AI, and NLP, deployed on AWS. Job Overview: We are seeking a highly skilled and experienced AI Lead to drive the development of our AI capabilities. This role requires expertise in video analytics, image analytics, Generative AI, and Natural Language Processing (NLP), along with hands-on experience in deploying AI solutions on AWS. The AI Lead will be responsible for leading a team of AI engineers, researchers, and data scientists, overseeing AI strategy, and ensuring the successful execution of AI-powered solutions. Key Responsibilities: Lead and mentor a team of AI engineers and data scientists to develop innovative AI-driven solutions. Design and implement AI models for video analytics, image processing, and NLP applications. Drive the development of Generative AI applications tailored to our product needs. Optimize and deploy AI/ML models on AWS using cloud-native services like SageMaker, Lambda, and EC2. Collaborate with cross-functional teams to integrate AI solutions into Datamoo AI’s workforce and contract management applications. Ensure AI solutions are scalable, efficient, and aligned with business objectives. Stay updated with the latest advancements in AI and ML and drive adoption of new technologies where applicable. Define AI research roadmaps and contribute to intellectual property development. Required Skills & Qualifications: 4+ years of experience in AI, ML, or Data Science with a focus on video/image analytics, NLP, and GenAI. Strong hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or OpenCV. Expertise in Generative AI, including transformer models (GPT, BERT, DALL·E, etc.). Proficiency in computer vision techniques, including object detection, recognition, and tracking. Strong experience in NLP models, including text summarization, sentiment analysis, and chatbot development. Proven track record of deploying AI solutions on AWS (SageMaker, EC2, Lambda, S3, etc.). Strong leadership skills with experience in managing AI/ML teams. Proficiency in Python, SQL, and cloud computing architectures. Excellent problem-solving skills and ability to drive AI strategy and execution. Preferred Qualifications: Experience with MLOps, model monitoring, and AI governance. Knowledge of blockchain and AI-powered contract management systems. Understanding of edge AI deployment for real-time analytics. Published research papers or contributions to open-source AI projects. What We Offer: Opportunity to lead AI innovation in a fast-growing AI startup. Collaborative work environment with cutting-edge AI technologies. Competitive salary and stock options. Flexible work environment (remote/hybrid options available). Access to AI research conferences and continuous learning programs. If you are an AI expert passionate about pushing the boundaries of AI and leading a dynamic team, we’d love to hear from you! How to Apply: Send your resume and a cover letter to hr@datamoo.ai. Show more Show less

LLMs - OpenAI, Gemini, CoPilot etc. Good Knowledge of RAG Pipeline Architectures Fine/Prompt/Instruction Tuning of LLMs machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn). cloud services (GCP, Azure, AWS).

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

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

Job Description Join our Control, Finance & Operating (CF&O) Artificial Intelligence (AI) Strategies (Strats) team at Goldman Sachs and play a pivotal role in advancing AI initiatives to drive operational efficiency and enhance processes through cutting-edge AI and Generative AI (GenAI) modeling and automation. You will get to work on one of the firm’s priorities for 2025, and leverage AI solutions to accelerate and transform business technology as well as enhancing the productivity of our people. As a CF&O AI Strategist, you will be at the forefront of designing, developing, and implementing innovative AI solutions across diverse areas including Risk, Controllers, Legal, and other critical domains. This exciting opportunity will see you collaborating with key stakeholders from these divisions to strategically deploy prioritized AI applications, thereby significantly improving our operational efficiency and improving productivity. The CF&O AI Strats team operates horizontally across CF&O divisions, with a clear mandate to strategically roll out impactful AI applications. Key Responsibilities Design, develop, and implement advanced AI and GenAI solutions to address complex challenges in Risk, Controllers, Legal, and other domains. Collaborate with stakeholders from various divisions to identify and prioritize AI applications that can drive operational efficiency and process improvements. Leverage state-of-the-art GenAI techniques, including Retrieval-Augmented Generation (RAG), AI agents, and other advanced methodologies, to develop robust AI models and solutions. Partner with business leaders and classic business teams to understand their needs and integrate AI solutions seamlessly into their workflows. Work closely with Goldman Sachs Engineering teams to leverage their technical solutions and infrastructure, ensuring the successful deployment and scalability of AI applications. Continuously monitor and evaluate the performance of AI models, making necessary adjustments to optimize their effectiveness and accuracy. Stay abreast of the latest advancements in AI and GenAI technologies, and proactively identify opportunities to incorporate these innovations into our AI strategies. Qualifications, Experience, And Attributes Bachelor's degree or higher in a quantitative subject such as Computer Science, Mathematics, Statistics, Engineering, or a related field. Proven commercial experience in designing, developing, and implementing AI and GenAI solutions, with a strong focus on practical applications and real-world impact. Demonstrated expertise in GenAI techniques, including but not limited to Retrieval-Augmented Generation (RAG), AI agents, and other advanced AI methodologies. Strong analytical and problem-solving skills, with the ability to translate complex business requirements into effective AI solutions. Excellent collaboration and communication skills, with the ability to work effectively with both technical and non-technical stakeholders. A proactive and innovative mindset, with a passion for staying at the forefront of AI and GenAI advancements and applying them to solve business challenges. Strong programming skills in languages commonly used in AI development, most importantly Python. Familiarity with AI and machine learning frameworks and tools, such as TensorFlow, PyTorch, or similar, is desirable. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Show more Show less

About BeGig BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you’re not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise. Your Opportunity Join our network as a Data Scientist and help fast-growing startups transform data into actionable insights, predictive models, and intelligent decision-making tools. You’ll work on real-world data challenges across domains like marketing, finance, healthtech, and AI—with full flexibility to work remotely and choose the engagements that best fit your goals. Role Overview As a Data Scientist, you will: Extract Insights from Data: Analyze complex datasets to uncover trends, patterns, and opportunities. Build Predictive Models: Develop, validate, and deploy machine learning models that solve core business problems. Communicate Clearly: Work with cross-functional teams to present findings and deliver data-driven recommendations. What You’ll Do Analytics & Modeling: Explore, clean, and analyze structured and unstructured data using statistical and ML techniques. Build predictive and classification models using tools like scikit-learn, XGBoost, TensorFlow, or PyTorch. Conduct A/B testing, customer segmentation, forecasting, and anomaly detection. Data Storytelling & Collaboration: Present complex findings in a clear, actionable way using data visualizations (e.g., Tableau, Power BI, Matplotlib). Work with product, marketing, and engineering teams to integrate models into applications or workflows. Technical Requirements & Skills Experience: 3+ years in data science, analytics, or a related field. Programming: Proficient in Python (preferred), R, and SQL. ML Frameworks: Experience with scikit-learn, TensorFlow, PyTorch, or similar tools. Data Handling: Strong understanding of data preprocessing, feature engineering, and model evaluation. Visualization: Familiar with visualization tools like Matplotlib, Seaborn, Plotly, Tableau, or Power BI. Bonus: Experience working with large datasets, cloud platforms (AWS/GCP), or MLOps practices. What We’re Looking For A data-driven thinker who can go beyond numbers to tell meaningful stories. A freelancer who enjoys solving real business problems using machine learning and advanced analytics. A strong communicator with the ability to simplify complex models for stakeholders. Why Join Us? Immediate Impact: Work on projects that directly influence product, growth, and strategy. Remote & Flexible: Choose your working hours and project commitments. Future Opportunities: BeGig will continue matching you with data science roles aligned to your strengths. Dynamic Network: Collaborate with startups building data-first, insight-driven products. Ready to turn data into decisions? Apply now to become a key Data Scientist for our client and a valued member of the BeGig network! Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement AI-driven applications. - Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Ability to work with data preprocessing and feature engineering for model training. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full time education is required. 15 years full time education Show more Show less

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical, highly regulated industries by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations—including banks, financial institutions, and large enterprises—to unlock AI's full potential while maintaining transparency, safety, and regulatory compliance. Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, every team member contributes hands-on in a flat organizational structure that values curiosity, initiative, and exceptional performance, ensuring that our work not only advances technology but also meets the rigorous demands of regulated sectors. Role Overview As a Senior Data Scientist at AryaXAI, you will be uniquely positioned to tackle large-scale, enterprise-level challenges in regulated environments. You’ll lead complex AI implementations that prioritize explainability, risk management, and compliance, directly impacting mission-critical use cases in the financial services industry and beyond. Your expertise will be crucial in deploying sophisticated models that address the nuances and stringent requirements of regulated sectors. Responsibilities Model Evaluation & Customization: Evaluate, fine-tune, and implement appropriate AI/ML models on AryaXAI.com tailored for enterprise and regulated use cases. Consider factors such as accuracy, computational efficiency, scalability, and regulatory constraints. Architectural Assessment: Assess and recommend various model architectures, ensuring that selected solutions meet the high standards required by complex business problems in financial services and other regulated industries. Enterprise Integration: Lead the deployment of AI models into production environments, ensuring seamless integration with existing enterprise systems while upholding strict compliance and security standards. Advanced AI Techniques: Drive the development and implementation of state-of-the-art AI architectures, incorporating advanced explainability, AI safety, and alignment techniques suited for regulated applications. Specialization & Innovation: Take ownership of specialized areas within machine learning/deep learning to address specific challenges related to complex datasets, regulatory requirements, and enterprise-grade AI solutions. Collaboration & Quality Assurance: Collaborate closely with Machine Learning Engineers (MLEs) and Software Development Engineers (SDEs) to roll out features, manage quality assurance, and ensure that all deployed models meet both performance and compliance benchmarks. Documentation & Compliance: Create and maintain detailed technical and product documentation, with an emphasis on auditability and adherence to regulatory standards. Qualifications Educational & Professional Background: A solid academic background in machine learning, deep learning, or reinforcement learning, ideally complemented by experience in regulated industries such as financial services or enterprise sectors. Regulated Industry Experience (FS, Banking or Insurance is preferred) Proven track record (2+ years) of hands-on experience in data science within highly regulated environments, with a deep understanding of the unique challenges and compliance requirements in these settings. Technical Expertise: Demonstrated proficiency with deep learning frameworks (TensorFlow, PyTorch, etc.) and experience in implementing advanced techniques (Transformer models, GANs, etc.). Diverse Data Handling: Experience working with varied data types—including textual, tabular, categorical, and image data—and the ability to develop models that handle complex, enterprise-level datasets. Deployment Proficiency: Expertise in deploying AI solutions in both cloud and on-premise environments, ensuring robust, scalable, and secure integrations with enterprise systems. Publications & Contributions: Peer-reviewed publications or significant contributions to open-source tools in AI are highly regarded. Show more Show less