4224 Pytorch Jobs - Page 6

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 17th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

General information Country India State Telangana City Hyderabad Job ID 44779 Department Development Experience Level EXECUTIVE Employment Status FULL_TIME Workplace Type On-site Description & Requirements As an Associate Machine Learning Engineer / Data Scientist, you will contribute to the advancement of research projects in artificial intelligence and machine learning. Your responsibilities will encompass areas such as large language models, image processing, and sentiment analysis. You will work collaboratively with development partners to incorporate AI research into products such as Digital Assistant and Document Capture. Essential Duties: Model Development: Assist in designing and implementing AI/ML models. Contribute to building innovative models and integrating them into existing systems. Fine-tuning Models: Support the fine-tuning of pre-trained models for specific tasks and domains. Ensure models are optimized for accuracy and efficiency. Data Clean-up: Conduct data analysis and pre-processing to ensure the quality and relevance of training datasets. Implement data cleaning techniques. Natural Language Processing (NLP): Assist in the development of NLP tasks like sentiment analysis, text classification, and language understanding. Large Language Models (LLMs): Work with state-of-the-art LLMs and explore their applications in various domains. Support continuous improvement and adaptation of LLMs. Research and Innovation: Stay updated with advancements in AI/ML, NLP, and LLMs. Experiment with new approaches to solve complex problems and improve methodologies. Deployment and Monitoring: Collaborate with DevOps teams to deploy AI/ML models. Implement monitoring mechanisms to track model performance. Documentation: Maintain clear documentation of AI/ML processes, models, and improvements to ensure knowledge sharing and collaboration. Basic Qualifications: Educational Background Programming and Tools Experience 1-2 years of total industry experience Minimum 6 months experience in ML & Data Science Skills Problem-Solving and Analytical Skills Good oral and written communication skills. Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics or a related field. Specialization or coursework in AI, ML, Statistics & Probability, DL, Computer Vision, Signal Processing, or NLP/NLU is a plus. Proficiency in programming languages commonly used in AI and ML, such as Python or R & querying languages like SQL. Experience in Cloud computing infrastructures like AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Experience with relevant libraries and frameworks, such as scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. This role offers a great opportunity to work with cutting-edge AI/ML technologies and contribute to innovative projects in a collaborative environment. About Infor Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. For more information visit www.infor.com Our Values At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future. We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees. Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the infor.com/about/careers webpage.

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

Opkey, we are disrupting the space of ERP transformation testing by building an AI-powered No Code Testing platform for Enterprise business applications (like Oracle Fusion Cloud, SAP S4Hana, SAP, Workday, Salesforce, and the likes). Opkey is a fast-growing VC-backed continuous end-to-end test automation software company headquartered in Dublin, California, with additional offices in Pittsburgh (opened in 2022), NYC (opened in 2022), & India (Noida & Bangalore). With the test automation market growing 20% annually, it's estimated to reach $50 billion by 2026. Trusted by 250+ enterprise customers, including GAP, Pfizer, and KPMG. We are seeking a highly skilled Lead AI Engineer with 8+ years of experience, preferably from SaaS and product-based companies, to drive our AI initiatives from ideation to deployment. You will work closely with cross-functional teams to design, develop, and scale innovative AI solutions that power our next-generation platforms. Key Responsibilities Architect, build, and deploy AI/ML models for SaaS products at scale. Lead the end-to-end lifecycle of AI projects from data exploration, model development, validation, and deployment, to monitoring and maintenance. Collaborate with Product Management, Engineering, and Design teams to integrate AI capabilities into product offerings. Implement and optimize Retrieval Augmented Generation (RAG) systems, Large Language Models (LLMs), and other emerging AI/ML techniques. Define and uphold best practices in AI model development, MLOps, and scalable deployment. Mentor and guide a team of AI/ML engineers, setting technical direction and fostering a culture of innovation and excellence. Partner with stakeholders to define AI strategies aligned with overall technology roadmaps and business objectives. Stay abreast of advancements in AI and contribute thought leadership internally and externally. Required Skills & Experience 10 to12 years of experience in AI/ML engineering, with a strong record of working in SaaS and product-based environments. Expertise in Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and/or Generative AI. Hands-on experience with frameworks like TensorFlow, PyTorch, Hugging Face Transformers, etc. Solid experience in designing scalable AI architectures and deploying models in production environments (AWS, GCP, Azure, etc. Strong programming skills in Python; familiarity with other languages like Java, Go, or Scala is a plus. Deep understanding of MLOps, CI/CD for machine learning pipelines, containerization (Docker, Kubernetes). Experience with LLM fine-tuning, prompt engineering, vector databases (e., Pinecone, FAISS) is highly desirable. Has experience is having trained a SLM (or Medium Language Model), for a particular vertical. This includes pre-training and fine-tuning. Strong problem-solving skills and ability to navigate ambiguous technical challenges. Excellent communication, leadership, and stakeholder management skills. Preferred Qualifications Master's or Ph.in Computer Science, Machine Learning, Data Science, or a related field. Experience in Go-to-Market Strategy for AI-powered products. Experience integrating AI into customer-facing SaaS products with measurable outcomes. Contributions to open-source AI projects or published research papers. (ref:hirist.tech) Show more Show less

Key Responsibilities Training machine learning models using relevant datasets and algorithms to develop predictive or analytical solutions. Involves extensive work in Python programming, leveraging libraries such as scikit-learn, TensorFlow, or PyTorch to implement, test, and optimize models. Responsible for data preprocessing, feature engineering, model evaluation, and fine-tuning. Work closely under the guidance of senior team members, following best practices and collaborating on project goals and deliverables. Adherence to timelines, maintaining code quality, and continuous learning are also integral to successfully fulfilling this role in a dynamic team environment. About Company: At A3A Solutions, we specialize in delivering high-quality web and software development services tailored to meet the unique needs of each client. With a team of passionate developers, designers, and problem-solvers, we strive to create digital solutions that not only meet but exceed expectations. Our focus is on innovation, usability, and performance, ensuring that every project we deliver adds measurable value to your business. Whether you're a startup seeking an online presence or an established organization looking to scale your digital infrastructure, A3A Solutions is your trusted technology partner. We offer customized services including website design and development, software solutions, e-commerce platforms, and much more. Our mission is to empower businesses through technology, helping them navigate the digital landscape with confidence. Let us bring your ideas to life with precision, creativity, and excellence. Show more Show less

Overview Job Description Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor’s “Best Places to Work.” Seeking an astute individual that has a strong technical foundation with ability to be hands-on on developing/building automation to improve efficiency, productivity, and customer experience. Deep knowledge of industry best practices, with the ability to implement them working with larger team cloud, support, and the product teams. Scope We are seeking a highly skilled AI/Prompt Engineer to design, implement, and maintain artificial intelligence (AI) and machine learning (ML) solutions for our organization. The ideal candidate will have a deep understanding of AI and ML technologies, as well as experience with data analysis, software development, and cloud computing. Primary Responsibilities Design and implement AI/ conversational AI solutions and ML solutions to solve business problems and to improve customer experience and operational efficiency. Develop and maintain machine learning models using tools such as TensorFlow, Keras, and PyTorch Collaborate with cross-functional teams to identify opportunities for AI and ML solutions and develop prototypes and proof-of-concepts. Develop and maintain data pipelines and ETL processes to support AI and ML workflows. Monitor and optimize model performance, accuracy, and scalability Stay up to date with emerging AI and ML technologies and evaluate their potential impact on our organization. Develop and maintain technical documentation, including architecture diagrams, design documents, and standard operating procedures Provide technical guidance and mentorship to other members of the data engineering and software development teams. Develop and maintain chatbots and voice assistants using tools such as Dialogflow, Amazon Lex, and Microsoft Bot Framework Develop and maintain integrations with third-party systems and APIs to support conversational AI workflows. Develop and maintain technical documentation, including architecture diagrams, design documents, and standard operating procedures. Provide technical guidance and mentorship to other team members. What We Are Looking For Bachelor’s degree in computer science, Information Technology, or a related field with 3+ years of experience in conversational AI engineering, design, and implementation Strong understanding of NLP technologies, including intent recognition, entity extraction, and sentiment analysis Experience with software development, including proficiency in Python and familiarity with software development best practices and tools (Git, Agile methodologies, etc.) Familiarity with cloud computing platforms (AWS, Azure, Google Cloud) and related services (S3, EC2, Lambda, etc.) Experience with big data technologies (Hadoop, Spark, etc.) Experience with containerization (Docker, Kubernetes) Experience with data visualization tools (Tableau, Power BI, etc.) Experience with reinforcement learning and/or generative models. Experience with machine learning technologies and frameworks (TensorFlow, Keras, etc.) Experience with big data technologies (Hadoop, Spark, etc.) Strong communication and collaboration skills Strong attention to detail and ability to prioritize tasks effectively. Strong problem-solving and analytical skills Ability to work independently and as part of a team. Strong attention to detail and ability to prioritize tasks effectively. Experience working with cloud platforms like AWS, Google Cloud, or Azure. Knowledge of big data technologies such as Apache Spark, Hadoop, or Kafka is a plus. Strong problem-solving and analytical skills. Ability to work in an agile and fast-paced development environment. Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values Diversity, Inclusion, Value & Equity (DIVE) is our strategy for fostering an inclusive environment we can be proud of. Check out Blue Yonder's inaugural Diversity Report which outlines our commitment to change, and our video celebrating the differences in all of us in the words of some of our associates from around the world. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Show more Show less

Job Title: Artificial Intelligence Engineer Company: Humanoid Maker Location: Delhi Type: Full-Time Experience: 1–5 years Industry: Artificial Intelligence / Software Development / Robotics About Us: Humanoid Maker is a fast-growing innovator in AI, robotics, and automation solutions. We specialize in AI-powered software, robotic kits, refurbished IT hardware, and technology services that empower startups, businesses, and institutions across India. Our mission is to build intelligent systems that simplify lives and boost productivity. Role Overview: We are looking for a skilled and creative Artificial Intelligence Engineer to join our AI development team. This role involves building, training, and deploying machine learning models for various use cases including voice synthesis, natural language processing, computer vision, and robotics integration. Key Responsibilities: Develop, train, and fine-tune machine learning and deep learning models for real-world applications. Work on projects related to NLP, speech recognition, voice cloning, and robotic intelligence. Build APIs and tools to integrate AI features into applications and hardware systems. Optimize models for performance and deploy them in edge, desktop, or server environments. Collaborate with UI/UX and backend developers for full-stack AI system integration. Conduct data preprocessing, feature engineering, and dataset management. Continuously research and experiment with the latest AI advancements. Key Skills & Requirements: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. 1–5 years of hands-on experience in developing AI/ML models. Strong knowledge of Python, PyTorch, TensorFlow, scikit-learn, etc. Experience with NLP libraries (e.g., Hugging Face Transformers, spaCy), and/or CV frameworks (OpenCV, YOLO). Familiarity with APIs, web frameworks (Flask/FastAPI), and databases (SQL or NoSQL). Bonus: Experience in robotics integration or embedded AI (Arduino/Raspberry Pi). What We Offer: Competitive salary based on experience. Opportunity to work on cutting-edge AI and robotics projects. Friendly and innovative team environment. Career growth in a rapidly expanding AI company. Access to high-performance computing tools and training resources. Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹50,000.00 per month Benefits: Paid sick time Supplemental Pay: Commission pay Overtime pay Performance bonus Yearly bonus Education: Bachelor's (Required) Experience: AI: 1 year (Required) Language: Hindi (Required) Work Location: In person

This job is with Hitachi Digital Services, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Our Company: We're Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We're crucial to the company's strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole. Imagine the sheer breadth of talent it takes to unleash a digital future. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. The team: Hitachi Digital is a leader in digital transformation, leveraging advanced AI technologies to drive innovation and efficiency across various operational companies (OpCos) and departments. We are seeking an experienced Senior AI Developer to support our new AI initiatives and enhance our existing Agentic AI capabilities. This role will involve building new AI products and refining current models to meet the evolving needs of our business. The Role Lead the design, development, and implementation of AI models and algorithms using Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Drive new AI initiatives across different OpCos and departments, ensuring seamless integration and functionality. Enhance and refine existing Agentic AI capabilities to improve performance and scalability. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. Conduct research and stay updated on the latest advancements in AI technologies and methodologies. Optimize AI models for performance, scalability, and accuracy. Troubleshoot and resolve complex issues related to AI systems and applications. Document AI development processes, methodologies, and best practices. Mentor junior developers and participate in code reviews, providing constructive feedback to team members. What You'll Bring Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 4+ experience in AI model development, with a focus on Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Strong programming skills in languages such as Python, Java, or C++. Primary experience with Google Cloud Platform (GCP); experience with AWS and Azure is a plus. Experience with GPU-based AI model development is a plus. Prior experience with Generative AI (GenAI) and Large Language Models (LLMs) is required. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Knowledge of machine learning algorithms, neural networks, and natural language processing. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications Familiarity with data science tools and techniques. Previous experience in a similar role within a tech-driven company. About us: We're a global, 1000-strong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We're curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you're not just another employee; you're part of a tradition of excellence and a community working towards creating a digital future. Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How We Look After You We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success. Show more Show less

This job is with Hitachi Digital Services, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Our Company We're Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We're crucial to the company's strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole. Imagine the sheer breadth of talent it takes to unleash a digital future. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. The Team: Hitachi Digital is a leader in digital transformation, leveraging advanced AI technologies to drive innovation and efficiency across various operational companies (OpCos) and departments. We are seeking an experienced Lead AI Engineer to spearhead our new AI initiatives and enhance our existing Agentic AI capabilities. This role will involve building new AI products and refining current models to meet the evolving needs of our business. The Role Lead the design, development, and implementation of AI models and algorithms using Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Drive new AI initiatives across different OpCos and departments, ensuring seamless integration and functionality. Enhance and refine existing Agentic AI capabilities to improve performance and scalability. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. Conduct research and stay updated on the latest advancements in AI technologies and methodologies. Optimize AI models for performance, scalability, and accuracy. Troubleshoot and resolve complex issues related to AI systems and applications. Document AI development processes, methodologies, and best practices. Mentor junior developers and participate in code reviews, providing constructive feedback to team members. What you'll bring: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 7+ years of experience in AI model development, with a focus on Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Strong programming skills in languages such as Python, Java, or C++. Primary experience with Google Cloud Platform (GCP); experience with AWS and Azure is a plus. Experience with GPU-based AI model development is a plus. Prior experience with Generative AI (GenAI) and Large Language Models (LLMs) is required. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Knowledge of machine learning algorithms, neural networks, and natural language processing. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications: Familiarity with data science tools and techniques. Previous experience in a similar role within a tech-driven company. About us We're a global, 1000-strong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We're curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you're not just another employee; you're part of a tradition of excellence and a community working towards creating a digital future. Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How We Look After You We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success. Show more Show less

send resumes to HR@aegletek.com We seek a hands-on Delivery Lead with 10–12 years of experience to own end-to-end execution of AI/ML projects, mentor technical teams, and collaborate with sales to scale our consulting solutions. Key Responsibilities 1. Project Delivery Own client-facing AI/ML projects from scoping to deployment, ensuring quality, timelines, and business impact. Guide teams on architecture, model design, and deployment (cloud/on-prem). 2. Team Leadership Lead and mentor data scientists/engineers, fostering skill growth and collaboration. Drive best practices in AI/ML (LLMs, MLOps, Agile). 3. Sales Collaboration Partner with sales to scope proposals, estimate efforts, and present technical solutions to clients. Must-Have Skills 10–12 years in AI/ML, with 5+ years leading teams in consulting/client delivery. Expertise in: AI/ML frameworks (TensorFlow, PyTorch, LLMs). Cloud platforms (AWS/Azure/GCP) and CI/CD pipelines. Python/R, data engineering (Spark, Kafka). Strong communication and client/stakeholder management. Good to Have Familiarity with MLOps (Docker, Kubernetes). Agile/Scrum certification. Qualifications Bachelor’s/Master’s in CS, Data Science, or related field. Certifications (e.g., AWS ML, Azure AI Engineer) are a plus. Show more Show less

This is a remote position. Introduction: Join August Infotech, an IT services and outsourcing leader, and make a significant impact through Generative AI. We're seeking a Senior Generative AI Engineer with a minimum of 3 years experience and a knack for leadership to join our team. This role involves developing advanced GenAI-based applications, managing projects, and leading teams. A Typical Day for a Senior Generative AI Engineer at August Infotech: Morning Routine: Check emails, messages, and project-related notifications. Plan the day, prioritize tasks, and review the progress of ongoing projects. Project Management: Review pending tasks from the previous day and prioritize them. Review the project roadmap, tasks, and goals for ongoing projects. Discuss new requirements, changes, or challenges with the project team. Coordinate with backend developers, front-end developers, and other stakeholders. Development and Code Review: Review code written by junior/intermediate developers for quality, security, and adherence to best practices. Address bugs, issues, or technical debt. Develop and customize Python applications, mainly using frameworks like Django or Flask. Create API endpoints, optimize database queries, or implement new features using Python. Client Communication: Communicate with clients to provide project updates, discuss requirements, and address questions or concerns. Testing and Debugging: Perform thorough testing of new features or changes to ensure functionality, performance, and compatibility. Debug and resolve issues or inconsistencies that arise during testing. Project Management Tools: Update project management tools or task boards to reflect the progress and completion of tasks. Estimate the time required for upcoming tasks and plan accordingly. End-of-Day Routine: Wrap up ongoing tasks, commit code changes, and ensure a clean and organized workspace. Reflect on the day's accomplishments, challenges, and areas for improvement. Architectural Design and Problem-Solving: Work on architectural design tasks, discussing and planning software components to meet project requirements and scalability needs. Solve complex technical challenges during development. Optimize code to improve application performance, scalability, and load times. Mentorship: Mentor junior/intermediate developers, providing guidance and support to help them grow and improve their skills. Requirements Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum three years of software development experience, focusing on Azure AI Services, Generative AI and Python. Minimum six months of hands-on experience with Generative AI technologies. Proficient in Python frameworks such as Django or Flask. Experience with Azure cloud services. Strong understanding of machine learning principles and techniques. Familiarity with natural language processing (NLP) and computer vision. Proficient in using libraries and tools such as TensorFlow, PyTorch, or similar. Strong problem-solving skills and ability to think critically. Excellent communication and collaboration skills. Experience with version control systems like Git. Nice to Have Skills: Experience with other cloud platforms such as Azure or Google Cloud. Knowledge of additional programming languages such as C#, R, Java, or Scala. Proficiency in database management systems, including SQL and NoSQL databases. Familiarity with software development best practices and methodologies. Understanding of microservices architecture and containerization technologies like Docker or Kubernetes. Enhanced presentation skills for effectively conveying complex findings. Benefits Permanent Remote 5 Days Working Technical Growth Certification Culture Monthly Performance Review Show more Show less

Job Title: Backend Engineer Location: Remote Experience: 2+ Years CTC: Up to 17 LPA Key Responsibilities: -Design, develop, and maintain scalable backend systems and APIs. -Work on distributed services using Python (Flask, Celery, Gevent, PyTorch, Tesseract). -Implement document processing and integrate with LLMs/OCR pipelines. -Contribute to infrastructure using Docker and Terraform/OpenTofu. -Write performant, reliable backend code that scales across use cases. -Collaborate cross-functionally with the frontend, ML, and product teams. -Own deployments and manage backend services in a DevOps-friendly setup. Required Skills & Qualification: -Strong proficiency in Python and related frameworks (Flask, Celery, etc.). -Experience with Node.js and JavaScript backend development. -Hands-on DevOps knowledge — Terraform/OpenTofu and Docker required. -Understanding of distributed systems and performance optimization. -Familiarity with LLMs, OCR, and machine learning concepts. -2+ years of experience through work or independent projects. -Comfortable working in Linux terminals and remote environments. Show more Show less

Hiring for top Unicorns & Soonicorns of India! We’re looking for a Machine Learning Engineer who thrives at the intersection of data, technology, and impact. You’ll be part of a fast-paced team that leverages ML/AI to personalize learning journeys, optimize admissions, and drive better student outcomes. This role is ideal for someone who enjoys building scalable models and deploying them in production to solve real-world problems. What You’ll Do Build and deploy ML models to power intelligent features across the Masai platform — from admissions intelligence to student performance prediction. Collaborate with product, engineering, and data teams to identify opportunities for ML-driven improvements. Clean, process, and analyze large-scale datasets to derive insights and train models. Design A/B tests and evaluate model performance using robust statistical methods. Continuously iterate on models based on feedback, model drift, and changing business needs. Maintain and scale the ML infrastructure to ensure smooth production deployments and monitoring. What We’re Looking For 2–4 years of experience as a Machine Learning Engineer or Data Scientist. Strong grasp of supervised, unsupervised, and deep learning techniques. Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, etc.). Experience with data wrangling tools like Pandas, NumPy, and SQL. Familiarity with model deployment tools like Flask, FastAPI, or MLflow. Experience working with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes) is a plus. Ability to translate business problems into machine learning problems and communicate solutions clearly. Bonus If You Have Experience working in EdTech or with personalized learning systems. Prior exposure to NLP, recommendation systems, or predictive modeling in a consumer-facing product. Contributions to open-source ML projects or publications in the space. Show more Show less

Job Description: AI/ML Specialist We are looking for a highly skilled and experienced AI/ML Specialist to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential. Key Responsibilities Develop and maintain web applications using Django and Flask frameworks. Design and implement RESTful APIs using Django Rest Framework (DRF). Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. Build and integrate APIs for AI/ML models into existing systems. Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn. Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases. Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker. Ensure the scalability, performance, and reliability of applications and deployed models. Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. Write clean, maintainable, and efficient code following best practices. Conduct code reviews and provide constructive feedback to peers. Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills And Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 3+ years of professional experience as a AI/ML Specialist Proficient in Python with a strong understanding of its ecosystem. Extensive experience with Django and Flask frameworks. Hands-on experience with AWS services for application deployment and management. Strong knowledge of Django Rest Framework (DRF) for building APIs. Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. Experience with transformer architectures for NLP and advanced AI solutions. Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with MLOps practices for managing the machine learning lifecycle. Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Skills:- Artificial Intelligence (AI), pandas, Natural Language Processing (NLP), NumPy, Machine Learning (ML), TensorFlow, PyTorch and Python Show more Show less

Role Overview We are seeking a passionate and skilled Machine Learning Engineer to join our team. The ideal candidate will have a strong background in machine learning, data science, and software engineering. As a Machine Learning Engineer, you will work closely with our clients and internal teams to develop, implement, and maintain machine learning models that solve real-world problems. Must Have Skills 2+ years of experience into Computer vision and NLP projects. 2+ years of experience in machine learning and Gen AI, data science, or a related field. Strong experience in python programming Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit- learn) Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus Role And Responsibilities Study and transform data science prototypes Design machine learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Skills:- Machine Learning (ML), Computer Vision, Natural Language Processing (NLP), Python, Generative AI, Keras, PyTorch, Scikit-Learn and Data Science Show more Show less

Job Description About Oracle and OHAI Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & AI. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence. About ODA Within the larger Oracle Health & AI organization, the Oracle Digital Assistant (ODA) is an Assistant platform that enables developers to create their own skills and digital assistants using the Conversational AI and Generative AI capabilities exposed to them in a low-code paradigm. The ODA team has been powering conversational AI experiences for all internal Oracle teams and several external customers for the past 7 years and is evolving rapidly to provide Generative AI solutions for the healthcare and enterprise domains. We operate in an agile environment with a substantial charter, high visibility, and support from senior leadership. About The Team We are looking for ML scientists, Data Engineers, Software Development Engineers, Product/Program Managers and ML engineers with a strong background in machine learning to build industry-leading solutions. You will work with huge volumes of data to solve/enable solving real-world problems in the Healthcare domain that are productionized into our Health AI products. Your solutions will be productized as features in the end products. These are new teams that we are putting together in India Center from scratch and the work will span across New Feature Development for CDA Specialty Expansion & Innovation, Language & Region Expansion, Software Development across front-end, back-end, test automation and mobile, ML Engineering, MLOps, LLMOps, Applied ML Sciences and ML Research, with a huge focus on GenAI capabilities. There is a huge emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers. Qualifications Bachelors Degree with relevant experience; Masters degree Exposure to real-world MLOps deploying models into production adding features to products Knowledge of working in a cloud environment 3+ Years of Experience Strong understanding of LLMs, GenAI, Prompt Engineering and Copilot Career Level - IC3 Responsibilities Responsibilities: Strong expertise in Python programming and one of the Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras) and understanding of LLMs, LLMOps and Generative AI - to be able to deliver per specifications; complete assignments without assitance by exercising judgment & appropriate actions Knowledge of Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, NLP. Hands-on develop ML models using the above techniques Ability to both use existing libraries (ML, Deep Learning, Re-inforcement Learning) as well as design algorithms ground-up; Able to prepare data pipelines and feature engineering pipelines to build robust models Combine ML Sciences depth, programming expertise and mathematical understanding of techniques to deliver state-of-the-art ML solutions for problem solving across Healthcare domain Drives selction of methods and techniques to drive solutions Demonstrate strong program management to be able to multi-task effectively Be able to mentor & lead junior data scientists effectively Contribute to peer reviews, team learning, meeting product objectives and develop best practices for the organization Strong experience in LLM Systems and LLMOps. Prior experience with Prompt Engineering and RAG systems About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in data-driven modelling and data engineering to Citi’s Global FX Team. By Joining Citi, you will become part of a global organization whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Team/Role Overview The FX Data Analytics & AI Technology team, within Citi's FX Technology organization, seeks a highly motivated Full Stack Data Scientist / Data Engineer. The FX Data Analytics & Gen AI Technology team provides data, analytics, and tools to Citi FX sales and trading globally and is responsible for defining and executing the overall data strategy for FX. The successful candidate will be responsible for developing and implementing data-driven models, and engineering robust data and analytics pipelines, to unlock actionable insights from our vast amount of global FX data. The role will be instrumental in executing the overall data strategy for FX and will benefit from close interaction with a wide range of stakeholders across sales, trading, and technology. We are looking for a proactive individual with a practical and pragmatic attitude, ability to build consensus, and work both collaboratively and independently in a dynamic environment. What You’ll Do Design, develop and implement quantitative models to derive insights from large and complex FX datasets, with a focus on understanding market trends and client behavior, identifying revenue opportunities, and optimizing the FX business. Engineer data and analytics pipelines using modern, cloud-native technologies and CI/CD workflows, focusing on consolidation, automation, and scalability. Collaborate with stakeholders across sales and trading to understand data needs, translate them into impactful data-driven solutions, and deliver these in partnership with technology. Develop and integrate functionality to ensure adherence with best-practices in terms of data management, need-to-know (NTK), and data governance. Contribute to shaping and executing the overall data strategy for FX in collaboration with the existing team and senior stakeholders. What We’ll Need From You 8 to 12 Years experience Master’s degree or above (or equivalent education) in a quantitative discipline. Proven experience in software engineering and development, and a strong understanding of computer systems and how they operate. Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualization and API libraries (matplotlib, plotly, streamlit, Flask, etc). Experience developing and implementing Gen AI applications from data in a financial context. Proficiency working with version control systems such as Git, and familiarity with Linux computing environments. Experience working with different database and messaging technologies such as SQL, KDB, MongoDB, Kafka, etc. Familiarity with data visualization and ideally development of analytical dashboards using Python and BI tools. Excellent communication skills, both written and verbal, with the ability to convey complex information clearly and concisely to technical and non-technical audiences. Ideally, some experience working with CI/CD pipelines and containerization technologies like Docker and Kubernetes. Ideally, some familiarity with data workflow management tools such as Airflow as well as big data technologies such as Apache Spark/Ignite or other caching and analytics technologies. A working knowledge of FX markets and financial instruments would be beneficial. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

NVIDIA is seeking a dynamic and experienced Generative AI Solution Architect with specialized expertise in training Large Language Models (LLMs) and implementing workflows based on Retrieval-Augmented Generation (RAG). As a key member of our AI Solutions team, you will play a pivotal role in architecting and delivering cutting-edge solutions that leverage the power of NVIDIA's generative AI technologies. This position requires a deep understanding of language models, particularly LLMs, and a strong proficiency in designing and implementing RAG-based workflows. What You Will Be Doing Architect end-to-end generative AI solutions with a focus on LLMs and RAG workflows. Collaborate closely with customers to understand their language-related business challenges and design tailored solutions. Collaborate with sales and business development teams to support pre-sales activities, including technical presentations and demonstrations of LLM and RAG capabilities. Work closely with NVIDIA engineering teams to provide feedback and contribute to the evolution of generative AI technologies. Engage directly with customers to understand their language-related requirements and challenges. Lead workshops and design sessions to define and refine generative AI solutions focused on LLMs and RAG workflows and l ead the training and optimization of Large Language Models using NVIDIA’s hardware and software platforms. Implement strategies for efficient and effective training of LLMs to achieve optimal performance. Design and implement RAG-based workflows to enhance content generation and information retrieval. Work closely with customers to integrate RAG workflows into their applications and systems and s tay abreast of the latest developments in language models and generative AI technologies. Provide technical leadership and guidance on best practices for training LLMs and implementing RAG-based solutions. What We Need To See Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience 5+ years of hands-on experience in a technical role, specifically focusing on generative AI, with a strong emphasis on training Large Language Models (LLMs). Proven track record of successfully deploying and optimizing LLM models for inference in production environments. In-depth understanding of state-of-the-art language models, including but not limited to GPT-3, BERT, or similar architectures. Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. Proficiency in model deployment and optimization techniques for efficient inference on various hardware platforms, with a focus on GPUs. Strong knowledge of GPU cluster architecture and the ability to leverage parallel processing for accelerated model training and inference. Excellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences. Ways to stand out from the crowd Experience in deploying LLM models in cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure. Proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. Deep understanding of GPU cluster architecture, parallel computing, and distributed computing concepts. Hands-on experience with NVIDIA GPU technologies, and GPU cluster management and ability to design and implement scalable and efficient workflows for LLM training and inference on GPU clusters With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. JR1995258 Show more Show less

Job Description Summary Designs, develops, tests, debugs and implements more complex operating systems components, software tools, and utilities with full competency. Coordinates with users to determine requirements. Reviews systems under development and related documentation. Makes more complex modifications to existing software to fit specialized needs and configurations, and maintains program libraries and technical documentation. May coordinate activities of the project team and assist in monitoring project schedules and costs. Essential Duties And Responsibilities Lead and Manage configuration, maintenance, and support of portfolio of AI models and related products. Manage model delivery to Production deployment team and coordinate model production deployments. Ability to analyze complex data requirements, understand exploratory data analysis, and design solutions that meet business needs. Work on analyzing data profiles, transformation, quality and security with the dev team to build and enhance data pipelines while maintaining proper quality and control around the data sets. Work closely with cross-functional teams, including business analysts, data engineers, and domain experts. Understand business requirements and translate them into technical solutions. Understand and review the business use cases for data pipelines for the Data Lake including ingestion, transformation and storing in the Lakehouse. Present architecture and solutions to executive-level. Minimum Qualifications Bachelor's or master's degree in computer science, Engineering, or related technical field Minimum of 5 years' experience in building data pipelines for both structured and unstructured data. At least 2 years' experience in Azure data pipeline development. Preferably 3 or more years' experience with Hadoop, Azure Databricks, Stream Analytics, Eventhub, Kafka, and Flink. Strong proficiency in Python and SQL Experience with big data technologies (Spark, Hadoop, Kafka) Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn) Knowledge of model serving technologies (TensorFlow Serving, MLflow, KubeFlow) will be a plus Experience with one pof the cloud platforms (Azure preferred) and their Data Services. Understanding ML services will get preference. Understanding of containerization and orchestration (Docker, Kubernetes) Experience with data versioning and ML experiment tracking will be great addition Knowledge of distributed computing principles Familiarity with DevOps practices and CI/CD pipelines Preferred Qualifications Bachelor's degree in Computer Science or equivalent work experience. Experience with Agile/Scrum methodology. Experience with tax and accounting domain a plus. Azure Data Scientist certification a plus. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Show more Show less

Job Title: AI Engineer Experience: 6-12 Years Location: Bangalore, Gurugram (Work From Office – 5 Days) Employment Type: Full-Time Interested Candidates Apply Here :- https://forms.gle/h3pXgxc57kUB3UJX6 Job Description :We are looking for a seasoned AI Enginee r with experienc e in designing and deploying AI/ML solutions, with a strong focus on Generative AI (GenAI ) and Large Language Models (LLMs ). The ideal candidate should have deep expertise in Pytho n, machine learnin g, and artificial intelligenc e, along with a strong understanding of real-world AI productization .As part of our advanced tech team in Bangalor e, you will play a critical role in building and integrating AI-powered applications that solve real business problems .Key Responsibilities :Design, develop, and deploy AI/ML solutions with a focus on Generative A I and LLM s (e.g., GPT, BERT, Claude, etc. )Fine-tune and customize foundation models for specific domain or business requirement sDevelop intelligent systems using Pytho n and modern ML framework sCollaborate with cross-functional teams including product, data engineering, and design to integrate AI into core product sEvaluate, test, and implement third-party APIs, libraries, and models relevant to AI/ML/LLM task sOptimize model performance, latency, and scalability for production us eStay up to date with the latest advancements in AI, machine learning, and GenAI technologie sRequired Skills :9+ years of professional experience in AI/M L role sStrong expertise in Generative A I, LLM s, and natural language processing (NLP )Proficient in Pytho n and libraries like TensorFlow, PyTorch, Hugging Face Transformer sSolid background in machine learning algorithm s, deep learning, and model evaluation technique sExperience deploying and maintaining ML models in productio nStrong problem-solving skills and ability to handle ambiguity in requirement sGood to Have :Experience with prompt engineering and few-shot/fine-tuning technique sKnowledge of MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow )Familiarity with vector databases and retrieval-augmented generation (RAG) pipeline sCloud experience (AWS, GCP, or Azure ) Show more Show less

Thank you for your interest in working for our Company. Recruiting the right talent is crucial to our goals. On April 1, 2024, 3M Healthcare underwent a corporate spin-off leading to the creation of a new company named Solventum. We are still in the process of updating our Careers Page and applicant documents, which currently have 3M branding. Please bear with us. In the interim, our Privacy Policy here: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ continues to apply to any personal information you submit, and the 3M-branded positions listed on our Careers Page are for Solventum positions. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. Collaborate with Solventum "Solvers" Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so it’s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a diversity of people, global locations, technologies and products, Solventum is a place where you can collaborate with other "Solvers" to improve the outcomes of healthcare. This position provides an opportunity to transition from other private, public, government or military experience to a Solventum career. (Shalini - please replace/edit above with whatever standard language is appropriate) The Impact You’ll Make in this Role As an AI Engineer in Security Governance and Artificial Intelligence (AI), you will play a crucial role in evaluating Solventum AI use cases and facilitating robust testing and monitoring capabilities. Collaborating across the enterprise, you will work closely with Legal, Privacy, Compliance, and key business and R&D groups to establish repeatable practices that mitigate risks within the AI landscape. This position demands a unique combination of technical expertise, understanding of security controls, and experience in data governance. Your experience in global organizations will be instrumental in guiding the team through the evolving international AI regulatory environment. You will stay abreast of AI trends, technologies, and regulatory developments, continually introducing new ways to address risk. Under the AI umbrella, you will lead and collaborate on risk assessments designed to identify potential threats associated with AI applications and facilitate first of a kind protection solutions. Your Skills and Expertise To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications: Bachelor’s Degree or higher (completed and verified prior to start) from an accredited institution 4 years of experience in Information Technology and Information Security OR High School Diploma/GED or higher from a (completed and verified prior to start) and a minimum of eight (8) years of experience in Information Technology and Information Security Programming Skills: Proficiency in programming languages such as Python, Java, or C++ to integrate and model security tools and scripts. Experience with AI Tools and Platforms: Familiarity with AI development platforms (e.g., TensorFlow, PyTorch) and their security implications. Risk Assessment and Management: Ability to perform thorough risk assessments of AI use cases and implement mitigation strategies. Additional qualifications that could help you succeed even further in this role include: Advanced Degree: Master's or Ph.D. in Cybersecurity, AI, or a related field. Knowledge of AI Ethics: Familiarity with ethical considerations and guidelines for AI deployment. Experience in AI/ML Security: Proven experience in evaluating and securing AI and machine learning systems, including familiarity with adversarial attacks and defenses. Experience in healthcare or other highly regulated industry, preferably in a global organization CISSP strongly preferred, or equivalent experience across a broad spectrum of Information Security disciplines Knowledge of Development Lifecycles, either software or AI specific (SDLC), including experience with DevOps or similar highly integrated work environments. Experience in AI strategy, Data Governance, and/or a related role in technology, data science, or AI. An understanding of AI technologies, machine learning, or data analytics with a focus on technical and ethical considerations. 5+ years experience in Security Governance, Risk & Compliance with corresponding increase in skills and responsibilities. Communication Skills: Excellent verbal and written communication skills to convey security findings and recommendations to technical and non-technical stakeholders. Familiarity with potential AI related regulations (NIST AI RMF, ISO 42001, OECD AI Policy framework, and EU AI act with their implications for AI development and use. Understand the foundations and importance of a strong data security posture. Proven record of effectively leading successful initiatives, especially those without pre-defined solutions. Team Collaboration: Ability to work collaboratively with cross-functional teams, including developers, data scientists, and security professionals. Work location: Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com . Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms. Show more Show less

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description What you get to do in this role: Generate and evaluate synthetic data tailored to improve the robustness, performance, and safety of machine learning models, particularly large language models (LLMs). Train and fine-tune models using curated datasets, optimizing for performance, reliability, and scalability. Design and implement evaluation metrics to rigorously measure and monitor model quality, safety, and effectiveness. Conduct experiments to validate model behavior and improve generalization across diverse use cases. Collaborate with engineering and research teams to identify risks and recommend AI safety mitigation strategies. Participate in the development, deployment, and continuous improvement of end-to-end AI solutions. Contribute to architectural and technology decisions related to AI infrastructure, frameworks, and tooling. Promote modern engineering practices including continuous integration, continuous delivery, and containerized workflows. Qualifications Key qualifications: 5+ years of experience in machine learning, deep learning, and AI systems. Proficiency in Python and frameworks like PyTorch, TensorFlow, and NumPy. Experience in synthetic data generation, model training, and evaluation in real-world environments. Solid understanding of LLM fine-tuning, prompting, and robustness techniques. Knowledge of AI safety principles and experience identifying and mitigating model risks. Hands-on experience deploying and optimizing models using platforms such as Triton Inference Server. Familiarity with CI/CD, automated testing, and container orchestration tools like Docker and Kubernetes. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license. Show more Show less

Company Size Large-scale / Global Experience Required 3 - 5 years Working Days 6 days/week Office Location Viman Nagar, Pune Role & Responsibilities Agentic AI Development: Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities. Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures. Build negotiation-capable bots with real-time context adaptation and recursive feedback processing. Generative AI & Model Optimization: Fine-t une LLMs/SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.). Apply distillation and quantization for efficient deployment on edge devices. Benchmark LLM/SLM performance on server vs. edge environments for real-time use cases. Speech And Conversational Intelligence: Implement contextual dialogue flows using speech inputs with emotion and intent tracking. Evaluate and deploy advanced Speech-to-Speech (S2S) models for naturalistic voice responses. Work on real-time speaker diarization and multi-turn, multi-party conversation tracking. Voice Biometrics & AI Security: Train and evaluate voice biometric models for secure identity verification. Implement anti-spoofing layers to detect deepfakes, replay attacks, and signal tampering. Ensure compliance with voice data privacy and ethical AI guidelines. Self-Learning & Autonomous Adaptation: Develop frameworks for agents to self-correct and adapt using feedback loops without full retraining. Enable low-footprint learning systems on-device to support personalization on the edge. Ideal Candidate Educational Qualifications: Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience Required: 3–8 years of experience, with a mix of core software development and AI/ML model engineering. Proven hands-on work with Conversational AI, Generative AI, or Multi-Agent Systems. Technical Proficiency: Strong programming in Python, TensorFlow/PyTorch, and model APIs (Hugging Face, LangChain, OpenAI, etc.). Expertise in STT, TTS, S2S, speaker diarization, and speech emotion recognition. LLM fine-tuning, model optimization (quantization, distillation), RAG pipelines. Understanding of agentic frameworks, cognitive architectures, or belief-desire-intention (BDI) models. Familiarity with Edge AI deployment, low-latency model serving, and privacy-compliant data pipelines. Desirable: Exposure to agent-based simulation, reinforcement learning, or behavioralmodeling. Publications, patents, or open-source contributions in conversational AI or GenAI systems. Perks, Benefits and Work Culture Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India. Skills: intelligence,python,tensorflow,pytorch,conversational ai,llm fine-tuning,edge ai deployment,optimization,speech,model optimization,llm,speech-to-speech (s2s),privacy-compliant data pipelines,generative ai,speaker diarization,speech emotion recognition,multi-agent systems Show more Show less

Job Title: Computer Vision Engineer Location: Coimbatore, Work from office role Experience Required: 2+ years Employment Type: Full-Time, Permanent Company: Katomaran Technologies About Us Katomaran Technologies is a cutting-edge technology company building real-world AI applications that span across computer vision, large language models (LLMs), and AI agentic systems. We are looking for a highly motivated Senior AI Developer who thrives at the intersection of technology, leadership, and innovation. You will play a core role in architecting AI products, leading engineering teams, and collaborating directly with the founding team and customers to turn vision into scalable, production-ready solutions. Key Responsilbilities Architect and develop scalable AI solutions using computer vision, LLMs, and agent-based AI architectures. Collaborate with the founding team to define product roadmaps and AI strategy. Lead and mentor a team of AI and software engineers, ensuring high code quality and project delivery timelines. Develop robust, efficient pipelines for model training, validation, deployment, and real-time inference. Work closely with customers and internal stakeholders to translate requirements into AI-powered applications. Stay up to date with state-of-the-art research in vision models (YOLO, SAM, CLIP, etc.), transformers, and agentic systems (AutoGPT-style orchestration). Optimize AI models for deployment on cloud and edge environments. Required Skills and Qualifications Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related fields. 2+ years of hands-on experience building AI applications in computer vision and/or NLP. Strong knowledge of Deep Learning frameworks (PyTorch, TensorFlow, OpenCV, HuggingFace, etc.). Proven experience with LLM fine-tuning, prompt engineering, and embedding-based retrieval (RAG). Solid understanding of agentic systems such as LangGraph, CrewAI, AutoGen, or custom orchestrators. Ability to design and manage production-grade AI systems (Docker, REST APIs, GPU optimization, etc.). Strong communication and leadership skills, with experience managing small to mid-size teams. Startup mindset – self-driven, ownership-oriented, and comfortable in ambiguity. Nice to have Experience with video analytics platforms or edge deployment (Jetson, Coral, etc.). Experience with programming skills in C++ will be an added advantage Knowledge of MLOps practices and tools (MLflow, Weights & Biases, ClearML, etc.). Exposure to Reinforcement Learning or multi-agent collaboration models. Customer-facing experience or involvement in AI product strategy. What we offer Medical insurance Paid sick time Paid time off PF To Apply: Send your resume, GitHub/portfolio, and a brief note about your most exciting AI project to hr@katomaran.com. Show more Show less

Description Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the comprehensive e-commerce product catalog. We power the online shopping experience for customers worldwide, enabling them to find, discover, and purchase anything they desire. Our scaled, distributed systems process hundreds of millions of updates across billions of products, including physical, digital, and service offerings. You will be part of Catalog Support Programs (CSP) team under Catalog Support Operations (CSO) in ASCS Org. CSP provides program management, technical support, and strategic initiatives to enhance the customer experience, owning the implementation of business logic and configurations for ASCS. We are establishing a new centralized Business Intelligence team to build self-service analytical products for ASCS that provide relevant insights and data deep dives across the business. By leveraging advanced analytics and AI/ML, we will transform catalog data into predictive insights, helping prevent customer issues before they arise. Real-time intelligence will support proactive decision-making, enabling faster, data-driven decisions across the organization and driving long-term growth and an enhanced customer experience. We are looking for a creative and goal-oriented BI Engineer to join our team to harness the full potential of data-driven insights to make informed decisions, identify business opportunities and drive business growth. This role requires an individual with excellent analytical abilities, knowledge of business intelligence solutions, as well as business acumen and the ability to work with various tech/product teams across ASCS. This BI Engineer will support ASCS org by owning complex reporting and automating reporting solutions, and ultimately provide insights and drivers for decision making. You must be a self-starter and be able to learn on the go. You should have excellent written and verbal communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. As a Business Intelligence Engineer in the CSP team, you will be responsible for analyzing petabytes of data to identify business trends and points of customer friction, and developing scalable solutions to enhance customer experience and safety. You will work closely with internal stakeholders to define key performance indicators (KPIs), implement them into dashboards and reports, and present insights in a concise and effective manner. This role will involve collaborating with business and tech leaders within ASCS and cross-functional teams to solve problems, create operational efficiencies, and deliver against high organizational standards. You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions and proactively uncover new insights that drive decision-making by senior leadership. As a key member of the CSP team, you will continually raise the bar on both quality and performance. You will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. There will be a steep learning curve, adding a fair amount of business skills to the individual. Key job responsibilities Work closely with BIEs, Data Engineers, and Scientists in the team to collaborate effectively with product managers and create scalable solutions for business problems Create program goals and related metrics, track progress, and manage through obstacles to help the team achieve objectives Identify opportunities for improvement or automation in existing data processes and lead the changes using business acumen and data handling skills Ensure best practices on data integrity, design, testing, implementation, documentation, and knowledge sharing Contribute to supplier operations strategy development based on data analysis Lead strategic projects to formalize and scale organizational processes Build and manage weekly, monthly, and quarterly business review metrics Build data reports and dashboards using SQL, Excel, and other tools to improve business efficiency across programs Understand loosely defined or structured problems and provide BI solutions for difficult problems, delivering large-scale BI solutions Provide solutions that drive the team's business decisions and highlight new opportunities Improve code quality and optimize BI processes Demonstrate proficiency in a scripting language, data modeling, data pipeline design, and applying basic statistical methods (e.g., regression) for difficult business problems A day in the life A day in the life of a BIE-II will include: Working closely with cross-functional teams including Product/Program Managers, Software Development Managers, Applied/Research/Data Scientists, and Software Developers Building dashboards, performing root cause analysis, and sharing actionable insights with stakeholders to enable data-informed decision making Leading reporting and analytics initiatives to drive data-informed decision making Designing, developing, and maintaining ETL processes and data visualization dashboards using Amazon QuickSight Transforming complex business requirements into actionable analytics solutions. About The Team This central BIE team within ASCS will be responsible for building a structured analytical data layer, bringing in BI discipline by defining metrics in a standardized way and establishing a single definition of metrics across the catalog ecosystem. They will also identify clear sources of truth for critical data. The team will build and maintain the data pipelines for critical projects tailored to the needs of ASCS teams, leveraging catalog data to provide a unified view of product information. This will support real-time decision-making and empower teams to make data-driven decisions quickly, driving innovation. This team will leverage advanced analytics that can shift us to a proactive, data-driven approach, enabling informed decisions that drive growth and enhance the customer experience. This team will adopt best practices, standardize metrics, and continuously iterate on queries and data sets as they evolve. Automated quality controls and real-time monitoring will ensure consistent data quality across the organization. Basic Qualifications 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business Experience writing complex SQL queries Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field Experience with scripting languages (e.g., Python, Java, R) and big data technologies/languages (e.g. Spark, Hive, Hadoop, PyTorch, PySpark) to build and maintain data pipelines and ETL processes Demonstrate proficiency in SQL, data analysis, and data visualization tools like Amazon QuickSight to drive data-driven decision making. Experience applying basic statistical methods (e.g. regression, t-test, Chi-squared) as well as exploratory, deterministic, and probabilistic analysis techniques to solve complex business problems. Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports. Track record of generating key business insights and collaborating with stakeholders. Strong verbal and written communication skills, with the ability to effectively present data insights to both technical and non-technical audiences, including senior management Preferred Qualifications Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field Proven track record of conducting large-scale, complex data analysis to support business decision-making in a data warehouse environment Demonstrated ability to translate business needs into data-driven solutions and vice versa Relentless curiosity and drive to explore emerging trends and technologies in the field Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis, as well as exploratory, deterministic, and probabilistic analysis techniques Experience in designing and implementing custom reporting systems using automation tools Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2990532 Show more Show less