11531 Pytorch Jobs

5+ Yrs exp in Computer Vision. Expertise in OpenCV, TensorFlow/PyTorch, Deep Learning. Experience in Design, building, and deploying computer vision models using YOLO, ResNet, CNN, RCNN, OpenCV. Custom model training. Immediate joiner only.

Responsibilities Collaborate with Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Collaborate with business analysts to understand customer needs and use cases and work with the team to design, develop POCs to test, implement & support system solutions Foster strong relationships with teammates, customers, and vendors to facilitate effective communication and collaboration throughout the project lifecycle Consume and enhance comprehensive documentation of requirements for custom developed solutions providing feedback where applicable Perform in-depth analysis of requirements, ensuring compatibility and adherence to established standards and best practices Oversee the management, monitoring, troubleshooting, and support of existing functionality, promptly addressing any issues or concerns that may arise Take ownership of architectural and technical project documentation, providing clear and detailed documentation of system design, implementation, and configurations Required Skills & Experience 10+ years of robust experience with hands-on development & design experience 3+ years of experience in one or more of the following areas: Deep Learning, LLMs, NLP, Speech, Conversational AI, AI Infrastructure, Fine-tuning and optimizations of PyTorch models. Software development experience in languages like Python, Java, Go, Rust, C/C++. (at least one) Experience with at least one LLM such as Llama, GPT, Claude, Falcon, etc. Experience with at least one deep learning framework such as PyTorch and/or JAX Experience building cloud solutions on AWS. Experience presenting to technical and business audiences Provide thought leadership and have influence over the design, implementation and support of all the POCs built for the business Experience coaching and developing individuals for increased effectiveness and working with a geographically dispersed workforce is a plus. Willingness to learn and master unfamiliar technologies and/or concepts Excellent verbal and written technical documentation skills multiple sclerosis (MS) Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities Partial or complete paralysis (any cause) Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema Short stature (dwarfism) Traumatic brain injury

Role description We are seeking an experienced Gen AI and LLM Developer to design, develop, and deploy generative AI models and large language models (LLMs) for advanced natural language processing (NLP) tasks. The ideal candidate will have 6-9 years of experience with LLM architectures (e.g., GPT, BERT), deep learning frameworks (PyTorch, TensorFlow), and cloud platforms (AWS, GCP, Azure). Responsibilities include training and fine-tuning models, optimizing for performance, collaborating with cross-functional teams, and staying updated on the latest AI trends. Strong technical skills in Python, NLP techniques, model optimization, and distributed training are essential.Experience designing scalable system with Generative AI" and "Exposure to full stack development on .net or Java based platform

Roles and Responsibility Design and develop artificial intelligence and machine learning models to solve complex problems. Collaborate with cross-functional teams to integrate AI solutions into existing systems. Develop and maintain large-scale data pipelines and architectures. Conduct research and stay updated on the latest advancements in AI and machine learning. Implement automated testing and deployment scripts for efficient workflow. Work closely with stakeholders to understand business requirements and provide technical guidance. Job Requirements Strong foundation in computer science, mathematics, and statistics. Proficiency in programming languages such as Python, C++, or Java. Experience with deep learning frameworks like TensorFlow or PyTorch. Knowledge of natural language processing, computer vision, or reinforcement learning. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment and communicate effectively with stakeholders.

Position Overview: The Boeing AI India team has an immediate opening for Manager Applied AI & Innovation . The selected individual will lead a team that innovates, develops & implements next generation AI/ML and engineering data analytics methods for aerospace applications. He/She/They will lead & participate in projects to develop analytics solutions that helps improve aircraft performance, increase the operational efficiency of aircraft fleet operators, improve/optimize the productivity of Boeing engineering, operations & manufacturing and simulate aircraft lifecycle scenarios for potential customers. In addition, the candidate will support senior members of the team in developing future vision and direction of Boeings technology development in the field of Artificial Intelligence, Machine Learning, image/video processing, NLP, GenAI, data analytics and their application to diverse areas relevant to Boeing. This position will be based out of Bangalore, India and will work with other colleagues located in India, United States and other global locations. This position will report to the Senior Manager Boeing AI. This position may require occasional (10%) travel within India and internationally. Position Responsibilities: Leverage AI-driven image processing & deep learning techniques to recognize classify & catalog vast amount of image & video data for multiple airplane, airspace & airport applications. Development of innovative, nonstandard approaches for knowledge discovery and parametric trending of structured and unstructured data and analysis to provide actionable information that improves aircraft and fleet efficiency and performance and helps increase productivity of Boeing engineers. Applying approaches such as novel statistical and probabilistic methods, machine learning multivariate analysis, predictive analytics and deep learning techniques to diverse areas such as airplane health management, manufacturing, automation, supply chain and more in order to add value to Boeing products. Working closely & collaboratively with an international team comprising software development and research engineers. Develop and maintaining relationships / partnerships with customers, stakeholders, peers, and partners to develop collaborative plans and execute on projects. Help in the adoption of new tools and technology, perform Proof-of-concepts and help engagements implement & take it over. Documenting results of research and development projects, and provide inputs for periodic updates to in the form of progress reports, project summaries, and other related documents. Tracking and evaluating performance to ensure product and process conformance to project plans and project requirements. Mentor & guide junior data scientists on their technical work and growth aspirations. Actively author & present the outcomes at various internal & external conferences. Contribute to the Innovation culture thru invention disclosures, patents & trade secrets. Basic Qualifications (Required Skills/Experience): 15+ years of overall work experience in data analytics and machine learning algorithm development and testing. Excellent presentation & communication skills: Demonstrate strong written, oral, presentation and interpersonal communication skills. Be fluent in written and spoken English, and familiar with MS Office tools. Strong research background in innovating & developing technologies & solutions thru data science & analytics. Preferred Qualifications (Desired Skills/Experience): Track record in performing and leading research & development of highly innovative AI-driven solutions for difficult problems. Expertise in building and productizing Machine Learning/Deep Learning models. Expertise in working with one or more deep learning frameworks like TensorFlow and PyTorch. Experience with image preprocessing techniques, such as noise removal and edge detection. Experience with rigid object recognition and tracking. Must have programming experience in Python, C++ and MATLAB. Bachelors or Masters or PhD in Computer Science, Computer Engineering, Data Science or related discipline is preferred. Prior people-leadership experience in leading & managing teams. Excellent stakeholder management skills. Be a self-starter who is not afraid to proactively seek information and direction to successfully complete the statement of work. Be self-motivated and able to work independently with a positive attitude and highest ethics. Must be willing to work flexible hours (early or late as needed) to interface with Boeing personnel around the world. Typical Education & Experience: Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 15+ years' related work experience or an equivalent combination of education and experience (e.g. Master+14 years' related work experience etc.) Relocation: This position does offer relocation based on candidate eligibility within INDIA.

Mandatory skills : Ml algorithms: Deep learning Pytorch or tensorflow Python Any one cloud service and deployment of the models . LLM . 4+ years in AI Engineering

Job Summary: The Senior AI Engineer is responsible for designing, developing, and deploying advanced AI models and solutions to solve complex business problems. This role involves leading AI projects, mentoring junior engineers, and collaborating closely with data scientists and software engineers. Key Responsibilities: Design, build, and optimize AI/ML models and algorithms. Develop scalable AI solutions for real-world applications. Lead end-to-end AI project implementation including data preprocessing, model training, evaluation, and deployment. Collaborate with cross-functional teams to integrate AI models into production systems. Mentor and guide junior AI engineers and data scientists. Stay updated with the latest AI research and technologies to innovate solutions. Evaluate and improve existing AI models for better performance. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, AI, Machine Learning, or related fields. Extensive experience in AI/ML frameworks like TensorFlow, PyTorch, or similar. Strong programming skills in Python, R, or Java. Solid understanding of machine learning algorithms, deep learning, and neural networks. Experience with data engineering, feature engineering, and model deployment. Strong problem-solving and analytical skills. Preferred Qualifications: PhD in AI or related fields. Experience with cloud platforms (AWS, GCP, Azure) for AI workloads. Publications or contributions to AI research. Familiarity with NLP, computer vision, or reinforcement learning.

Experience with advanced frameworks like LangChain, LangGraph, & RAG pipelines. Strong proficiency in Python Expertise in LLM fine-tuning, deployment, & inference optimization, with a deep understanding of the challenges involved in deploying LLMs. Health insurance

DUTIES AND RESPONSIBILITIES:- • Lead end-to-end software development projects using MERN (MongoDB, Express, React, Node.js) and MEAN (MongoDB, Express, Angular, Node.js) stacks. • Architect, design, and implement scalable, high-performance web applications and APIs. • Develop and maintain cloud-native applications leveraging AWS Cloud Services (EC2, S3, RDS, Lambda, CloudFront, IAM, VPC, CloudWatch). • Implement AI and Machine Learning solutions to enhance business applications (e.g., predictive analytics, NLP, automation workflows). • Drive full SDLC (Software Development Life Cycle): requirements gathering, system design, coding, testing, deployment, and maintenance. • Follow ISO 27001 security standards, ensuring applications comply with OWASP Top 10 and industry best practices. • Perform code reviews, vulnerability assessments, and remediation of application-level security gaps. • Collaborate with Product Owners, QA teams, and DevOps for CI/CD pipelines and Agile delivery. • Mentor and guide development staff, ensuring best practices in coding, testing, and documentation. • Design and optimize PostgreSQL and MongoDB queries for performance and scalability. • Manage disaster recovery planning and backup strategies for applications and data. • Maintain detailed project documentation, technical SOPs, and architecture diagrams. • Provide technical leadership in client discussions, requirement workshops, and solution demonstrations. TECHNICAL SKILLSET:- Programming & Frameworks: MERN (MongoDB, Express, React, Node.js), MEAN (MongoDB, Express, Angular, Node.js), TypeScript, REST APIs, GraphQL. Cloud: AWS (EC2, Lambda, RDS, S3, CloudWatch, VPC, IAM, Route53, Elastic Beanstalk). AI/ML Tools: Python, TensorFlow, PyTorch, Scikit-learn, AWS SageMaker, AI API integrations. Security & Compliance: ISO 27001, OWASP Top 10, Vulnerability Assessment & Penetration Testing (Nessus, Nmap, Burp Suite, OWASP ZAP). Databases: MongoDB, PostgreSQL, MySQL. DevOps Tools: Docker, Kubernetes, Jenkins, GitLab CI/CD, Terraform. Web Servers & API Gateways: NGINX, Apache, AWS API Gateway. Version Control: Git, GitHub, GitLab, Bitbucket. Other Skills: Strong understanding of SDLC, Agile methodologies, Microservices Architecture, Containerization, Serverless Applications. QUALIFICATIONS REQUIRED:- • B.E / B.Tech / B.Sc (Computer Science) / BCA / MCA. • Certifications preferred: AWS Certified Solutions Architect, AI/ML Specialty, ITIL. YEARS OF EXPERIENCE REQUIRED:- • Minimum 7 years of hands-on experience in Software Development (MERN/MEAN stack, Cloud, AI/ML). • At least 3 years in a Technical Lead / Managerial role with team handling. REMUNERATION: Best in the industry

Location: Bangalore Department: Digital - Data & AI Reporting To: Director – Data & AI Role Summary We are seeking a visionary and technically accomplished Principal Data Scientist to lead advanced AI/ML initiatives across the organization. This role demands deep expertise in machine learning, generative AI, computer vision, and cloud-native AI solutions, with a strong emphasis on innovation, governance, and cross-functional collaboration. Key Responsibilities Architect and lead the development of scalable ML/DL models for real-world applications. Drive innovation using Generative AI, Agentic AI, LLMs, and autonomous systems. Collaborate with engineering, product, and business teams to align AI solutions with strategic goals. Lead MLOps implementation for automated training, evaluation, and deployment (Azure preferred). Establish governance frameworks for ethical and compliant AI development. Mentor and upskill data science teams on emerging technologies and best practices. Represent the organization in external forums, conferences, and thought leadership initiatives. Required Skills & Experience 10+ years in Data Science, AI/ML, with proven leadership in enterprise-scale projects. Expertise in Python, PyTorch, TensorFlow, Hugging Face, LangChain, AutoGen, and cloud platforms (Azure, AWS). Strong foundation in statistical modeling, predictive analytics, NLP, computer vision, and time series forecasting. Experience with LLMs (e.g., GPT, Gemini, Llama), orchestration tools (e.g., Crew AI, LangGraph), and vector databases (e.g., Pinecone, FAISS). Familiarity with quantum computing concepts and their intersection with AI. Proven track record in integrating AI into product development and business operations. Preferred Qualifications Master’s or PhD in Computer Science, Data Science, AI/ML, or related field. Certifications from Microsoft, AWS, IIT-Delhi, or equivalent in AI/ML, GenAI. Experience in Agile environments and leading cross-functional teams. Why work for AtkinsRéalis? We at AtkinsRéalis are committed to developing its people both personally and professionally. Our colleagues have the advantage of access to a high ranging training portfolio and development activities designed to help make the best of individual’s abilities and talents. We also actively support staff in achieving corporate membership of relevant institutions.

NVIDIA is 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. If you're creative and autonomous, we want to hear from you! NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for over 30 years. It’s a unique legacy of innovation that’s fueled by phenomenal technology and outstanding people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAn, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the AI Infrastructure Production engineering team and see how you can make a lasting impact on the world. What You Will Be Doing Develop and maintain large-scale systems supporting critical use cases for AI Infrastructure, driving reliability, operability, and scalability across global public and private clouds. Implement SRE fundamentals, including incident management, monitoring, and performance optimization, while designing automation tools to reduce manual processes and operational overhead. Build tools and frameworks to improve observability, define actionable reliability metrics, and enable fast issue resolution, driving continuous improvement in system performance. Establish frameworks for operational maturity, lead sustainable incident response protocols, and conduct blameless postmortems to improve team efficiency and system resilience. Work with engineering teams to deliver innovative solutions, mentor peers, uphold high standards for code and infrastructure, and contribute to hiring for a diverse, high-performing team. What We Need To See Degree in Computer Science or related field, or equivalent experience with 12+ years in Software Development, SRE, or Production Engineering. Proficiency in Python and at least one other language (C/C++, Go, Perl, Ruby). Expertise in systems engineering within Linux or Windows environments and cloud platforms (AWS, OCI, Azure, GCP). Strong understanding of SRE principles, including error budgets, SLOs, SLAs, and Infrastructure as Code tools (e.g., Terraform CDK). Hands-on experience with observability platforms (e.g., ELK, Prometheus, Loki) and CI/CD systems (e.g., GitLab). Strong communication skills with the ability to convey technical concepts effectively to diverse audiences. Commitment to fostering a culture of diversity, curiosity, and continuous improvement. Ways To Stand Out From The Crowd Experience in AI training, inferencing, and data infrastructure services. Proficiency in deep learning frameworks like PyTorch, TensorFlow, JAX, and Ray. A strong background in hardware health monitoring and system reliability. Hands-on expertise in operating and scaling distributed systems with stringent SLAs, ensuring high availability and performance. Proven experience in incident, change, and problem management processes, fostering continuous improvement in sophisticated environments. JR2001330

Position: ML Engineer /Data Engineer Experience: 4-10 years in ML/NLP Location: Gurugram (5 days WFO) If interested kindly fill out the form: https://forms.gle/7AHAVAiW8qeT7tm79 Key Responsibilities: Implement BERT-based NER for document processing PDF ingestion and layout analysis Human-in-the-loop workflow development Data pipeline optimization Model training and deployment Integration with document processing service Technical Skills: ML/NLP: Python, TensorFlow, PyTorch, Hugging Face Cloud ML: AWS SageMaker, Lambda Data Processing: Pandas, NumPy, Apache Spark Document Processing: PyPDF2, pdfplumber, Tesseract APIs: FastAPI, Flask Databases: MongoDB, S3 Must-Have: Experience with Named Entity Recognition Production ML deployment experience Good to have: Understanding of healthcare data formats Healthcare document processing knowledge

Applied Materials Applied AI Systems Solutions (System to Materials) Business Unit is searching for a Software Engineer AI Performance Architect to join our team! The Applied AI System to Materials team works on architecting differentiated AI Systems leveraging Applieds fundamental innovations. Write the details of role here: Benchmark AI workloads (LLMs) in single and multi-node High Performance GPU configurations. Project and Analyze systems performance for LLMs using various parallelization techniques. Develop methodologies to measure key performance metrics and understand bottlenecks to improve efficiency. Requirements Understanding of transformer-based model architectures and basic GEMM operations. Strong programming skills in Python, C/C++. Proficiency in systems (CPU, GPU, Memory, or Network) architecture analysis and performance modelling. Experience with parallel computing architectures, interconnect fabrics and AI workloads (Finetuning/Inference). Experience with DL Frameworks (Pytorch, Tensorflow), Profiling tools (Nsight Systems, Nsight Compute, Rocprof), Containerized Environment (Docker) Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities.

You are a trailblazer, leading the way in a specific area of architecture and making a profound impact on the people, technologies, and projects across departments. With your impressive experience steering multiple complex projects forward, the entire firm will reach new levels of success. As a Principal Architect at JPMorgan Chase within the Consumer and Community Banking division, you lead innovation for AIML platforms, Generative AI platform and other Enterprise Data platform specific architecture and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of ML tools, experiment and build state of the art ML as well as GenAI Platforms. You will be part of an innovative team, working closely with Product Owners, ML Engineering and Software engineering to build new AI/ML solutions and help deliver and evangelize end-to-end architecture. You will also take mentor other ML engineers and scientists while fostering a culture of constant learning and Architecture evolution at the firm. We are looking for someone with a passion for data, ML, and scalable platforms, who can build ML solutions at-scale with a hands-on approach with detailed technical acumen. Job responsibilities Owns and evangelizes solutions related to data architecture, ML Platform as well as GenAI platform architecture, provide tactical solution and design support to the team and embedded with engineering on the execution and implementation of processes and procedures Owns governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations Serve as a subject matter expert on a wide range of ML techniques and optimizations. Provide in-depth knowledge of distributed ML platform deployment including training and serving. Create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques. Gain Experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipelines. Get Hands on code and design to bring the experimental results into production solutions by collaborating with engineering team. Owning end to end code development in python/Java for both proof of concept/experimentation and production-ready solutions. Optimizing system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions. Drives decisions that influence the product design, application functionality, and technical operations and processes. Required qualifications, capabilities, and skills Formal training or certification in software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise At least 10 years experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must. Solid understanding of using ML techniques specially in Natural Language Processing (NLP) and Large Language Models (LLMs) Hands-on experience with machine learning and deep learning methods. Good understanding in deep learning frameworks such as PyTorch or TensorFlow. Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search). Ability to work on system design from ideation through completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player. Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners. Practical cloud native experience such as AWS. Preferred qualifications, capabilities, and skills MS and/or PhD in Computer Science, Machine Learning, or a related field Experience with Ray, MLFlow, and/or other distributed training frameworks. In-depth understanding of Embedding based Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Advanced knowledge in Reinforcement Learning or Meta Learning. Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.

Job Description – Full Stack Developer Position: Full Stack Developer Location: [Onsite/Remote/Hybrid] Type: Full-time / Contract Experience: 2–6 Years (flexible based on skills) About the Role We are looking for a Full Stack Developer to join our dynamic team and work on multiple innovative projects, including ERP systems, AI-powered social media platforms, and other AI-driven applications. The ideal candidate will have strong expertise in both frontend and backend development and the ability to own full lifecycle development — from architecture, coding, testing, and integration to deployment, scaling, and monitoring. This is a high-impact role for someone passionate about building scalable applications, integrating AI, and deploying production-ready solutions. Key Responsibilities Full Stack Development Design, develop, and maintain scalable web applications for ERP, AI-social media, and AI-related projects. Work on frontend (UI/UX) and backend (APIs, business logic, databases) development. System Design & Architecture Architect and implement secure, scalable, and maintainable solutions. Integrate AI/ML models into applications where required. Deployment & DevOps Manage end-to-end deployment across cloud platforms (AWS, GCP, Azure, or similar). Set up CI/CD pipelines, containerization (Docker, Kubernetes), and monitoring systems. Collaboration & Agile Practices Work closely with product managers, AI engineers, and UI/UX designers. Participate in code reviews, sprint planning, and agile ceremonies. Performance & Security Optimize applications for maximum performance and responsiveness. Implement security best practices across frontend, backend, and cloud deployments. Required Skills & Qualifications Frontend: React.js, Angular, or Vue.js; HTML5, CSS3, JavaScript/TypeScript. Backend: Node.js, Express.js, Python (Django/FastAPI/Flask), or Java (Spring Boot). Databases: MySQL, PostgreSQL, MongoDB, or equivalent. AI Integration: Experience integrating APIs/AI models (TensorFlow, PyTorch, OpenAI APIs, or custom ML models). Deployment & DevOps: Docker, Kubernetes, Nginx, GitHub Actions/Jenkins. Cloud platforms: AWS/GCP/Azure. CI/CD pipelines, monitoring tools (Grafana, Prometheus, CloudWatch). Version Control: Git/GitHub/GitLab. Other Plus Points: Knowledge of Microservices, REST & GraphQL APIs, WebSockets, and message queues (Kafka, RabbitMQ). Preferred Qualifications Experience in building ERP or large-scale enterprise applications. Exposure to AI/ML concepts, data pipelines, and AI-driven user experiences. Knowledge of mobile development frameworks (React Native/Flutter) is a bonus. Strong problem-solving, debugging, and communication skills. Job Type: Full-time Pay: ₹25,000.00 - ₹100,000.00 per year Experience: Full-stack development: 2 years (Required) Work Location: In person Application Deadline: 29/08/2025 Expected Start Date: 30/08/2025

Key Responsibilities: Build & maintain ETL/ELT pipelines ensuring data accuracy and quality. Work with large datasets to collect, clean, and prepare data for analysis. Design & implement predictive models and collaborate with Data Science teams. Create dashboards & reports (Tableau, Power BI, matplotlib, Seaborn). Work with cloud platforms (AWS, Azure, GCP) & databases (SQL, MongoDB, PostgreSQL, MySQL). Collaborate with cross-functional teams to solve business problems using data. Preferred Skills: Big Data tools (Spark, Hadoop) ML Frameworks (TensorFlow, PyTorch, Scikit-learn) Strong Python/R (Pandas, NumPy) Knowledge of data engineering & warehousing concepts Why Join Us? Health Insurance Occasional WFH options (as per policy) Paid time-off for personal needs Exposure to client interactions & real-world business challenges Opportunity to work on cutting-edge cross-functional projects Job Type: Full-time Pay: ₹50,000.00 - ₹70,000.00 per month Work Location: In person

Role Description: As an AI Engineer at Knowdis.ai, you will be an integral part of our AI development team, working on challenging projects that leverage the latest advancements in Natural Language Processing (NLP) and Reinforcement Learning. You will be responsible for designing, implementing, and optimizing AI models that drive our core products, focusing on product recommendation systems, marketplaces, and translation systems. This role offers the opportunity to work with a team of highly skilled professionals in a dynamic and collaborative environment. Key Responsibilities: Develop and implement state-of-the-art AI models for product recommendation systems, marketplaces, and translation systems. Design and optimize algorithms for Natural Language Processing (NLP) and Reinforcement Learning. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Conduct research to stay up-to-date with the latest advancements in AI and integrate relevant findings into ongoing projects. Perform data preprocessing, feature engineering, and model evaluation to ensure high performance and accuracy of AI models. Deploy and maintain AI models in production environments, ensuring scalability and reliability. Participate in code reviews, provide constructive feedback, and ensure best practices in AI development are followed. Document technical designs, experiments, and results for internal and external stakeholders. Qualifications and Experience: Bachelor's degree in Computer Science or a related field from a Tier-1 Institute. 2-5 years of hands-on experience in AI/ML development, with a focus on NLP or Reinforcement Learning. Strong proficiency in programming languages such as Python, and experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). Proven experience in developing and deploying AI models in real-world applications, particularly in product recommendation systems, marketplaces, or translation systems. Solid understanding of machine learning algorithms, data structures, and software engineering principles. Experience with data pre-processing, feature extraction, and model evaluation techniques. Ability to work collaboratively in a team environment and communicate effectively with technical and non-technical stakeholders. Strong problem-solving skills, attention to detail, and a passion for innovation in AI technology Preferred Qualifications: Master's degree in Computer Science or a related field. Experience with cloud platforms (e.g., AWS, GCP, Azure) and scalable AI/ML infrastructure. Selection Process: Interested Candidates are mandatorily required to apply through the listing on Jigya . Only applications received through this posting will be evaluated further. Shortlisted candidates may be required to appear in an Online Assessment and Screening interview administered by Jigya Candidates selected after the Jigya screening rounds will be interviewed by KnowDis

About KnowDis KnowDis is an AI-driven company based in Delhi dedicated to transforming e-commerce and banking sectors through cutting-edge technology. With expertise in artificial intelligence, machine learning, and large language models (LLMs), we develop innovative solutions that enhance operational efficiency and drive growth. In e-commerce, we build advanced systems for product search optimization, leveraging LLMs to improve natural language queries and search accuracy. Our team includes B.Tech and Phds from various IITs including Delhi, Guwahati, BHU. Across both industries, we are committed to delivering intelligent, scalable AI solutions that shape the future of business and finance. About the Role At KnowDis, you will move the world forward. Every day, we create innovative machine-learning solutions to help our clients across e-commerce, healthcare, and finance domains to solve their problems. We are a group of highly curious professionals dedicated to discovering and implementing new deep learning models. We work at the intersection of machine learning, statistical analysis, deep learning, natural language processing, and computer vis ion.We bring out the best in each other, and together, we work towards the vision of using this expertise to help society and make the world a better place. As a data scientist, you should be passionate about natural language processing, computer vision, statistical sampling, and analytical methods. You will develop machine learning systems, analyze performance, and refine models through hyperparameter tuning and experimentation to optimize results. You will also improve algorithm accuracy by iterating based on performance metrics and fee dback.To succeed in this role, you need exceptional skills in statistics and programming. You will be part of an agile team and will be collaborating with engineers, data engineers, and fellow data scientists. Job Responsibilities Develop and Implement Machine Learning Models: Design, build, and deploy machine learning models and algorithms for various applications, ensuring they are robust and scalable for production use. Data Exploration and Preparation: Collect, clean, and preprocess large datasets, including feature engineering and data transformation, to create a strong foundation for modeling. Model Training and Optimization: Train models using state-of-the-art techniques, optimize performance through hyperparameter tuning, and conduct thorough experimentation to achieve desired results. Analyze and Evaluate Performance: Use appropriate metrics to analyze model accuracy, precision, recall, and other relevant performance indicators, and iteratively improve models based on findings. Experimentation and Research: Stay updated on the latest machine learning and data science advancements, and run experiments to identify potential new techniques and approaches for business challenges. Requirements for the job Bachelor’s/Master's/Ph.D. in Computer Science, Mathematics, Statistics, or equivalent field. Minimum of 1 to 2 years of experience in ML and AI roles. Strong proficiency in Python and machine learning frameworks like PyTorch, TensorFlow, Scikit-learn, and others. Solid understanding of statistical analysis, data modeling, and algorithmic techniques for various ML tasks. Experience in Natural Language Processing (NLP) and/or Computer Vision (CV) is required; any of the followingis preferred: NLP: Strong understanding of RNNs and transformer-based architectures for tasks such as chatbots/dialogue systems, machine translation, named entity recognition, recommendation systems, and retrieval systems. Computer Vision: Hands-on experience with cutting-edge Vision Language Models (VLMs) like ViT, CLIP, Swin Transformers, DINO, GroundedSAM, SAM, YOLOv7/v8, and multimodal architectures like BLIP-2 and GIT-2. Skilled in Visual Question Answering (VQA), image classification, search, and object detection, with expertise in advanced techniques for complex vision and multimodal tasks. Practical experience in building production-ready systems using deployment frameworks such as FastAPI, NVIDIA Triton Inference Server, TorchServe, or TensorFlow. SELECTION PROCESS: Intereste d Candidate s are mandatorily required to apply through this listing on Jigya. Only applications received through Jigya will be evaluated further.Shortlisted candidates may be required to appear in an Online Assessment administered by Jigya on behalf on KnowDis Candidates selected after the screening test will be interviewed by Knowdis.ai

We are seeking a highly motivated Python Developer with 2–3 years of hands-on experience, preferably in building and deploying AI/ML solutions. The ideal candidate should have a strong foundation in Python, familiarity with AI/ML libraries and frameworks, and the ability to translate business requirements into scalable technical solutions. This role offers the opportunity to work on cutting-edge projects involving artificial intelligence, data pipelines, and backend system integration. Key Responsibilities Design, develop, and maintain Python-based applications with a focus on AI/ML integrations. Implement data preprocessing, feature engineering, and model training pipelines. Work with AI frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face, etc.) to develop and deploy models. Integrate AI solutions into production systems via APIs or microservices. Collaborate with data scientists, frontend developers, and DevOps engineers to deliver end-to-end solutions. Optimize code for performance, scalability, and reliability. Write clean, maintainable, and well-documented code following best practices. Debug, troubleshoot, and resolve software defects/issues. Required Skills & Qualifications 2–3 years of professional Python development experience. Proven experience in at least one AI/ML project (end-to-end lifecycle preferred). Strong knowledge of AI/ML libraries such as Scikit-learn, TensorFlow, PyTorch, or Hugging Face. Good understanding of REST APIs and microservice architectures. Familiarity with data handling tools (Pandas, NumPy) and database systems (SQL/NoSQL). Experience with version control (Git) and Agile methodologies. Ability to write efficient, modular, and reusable code. Nice-to-Have (Good to bring but not mandatory) Experience with cloud platforms (AWS, Azure, GCP) for model deployment. Knowledge of MLOps tools (Docker, Kubernetes, CI/CD pipelines). Exposure to NLP, Computer Vision, or Generative AI projects. Understanding of API authentication & security best practices. Basic knowledge of frontend frameworks or integration points (React, Angular, etc.). Soft Skills Strong problem-solving mindset with attention to detail. Excellent communication skills to work in cross-functional teams. Ability to adapt quickly to new technologies and project requirements. Self-driven with ownership of deliverables. Job Type: Full-time Pay: ₹25,000.00 - ₹40,000.00 per month Ability to commute/relocate: New Delhi, Delhi: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Do you have a laptop which you can bring on work? Experience: Python: 2 years (Required) Language: English (Required) Work Location: In person

What We offer: At our headquarters in Noida, you will find an innovative international automotive environment that is at the same time familiar and appreciative. Exciting tasks with interesting and secure prospects in a global company Attractive salary Very good professional and personal development Work with a cutting-edge team in a rapidly growing field. Collaborative environment with world-class experts in AI, imaging, and embedded systems. Role & responsibilities: Lead the design, development, and optimization of AI/ML algorithms for ADAS functionalities such as object detection, lane detection, pedestrian recognition, and path planning. Develop multi-sensor fusion frameworks involving cameras, radars, LIDAR, and IMUs for perception and localization. Drive the deployment and inference optimization of ML models on edge computing platforms (e.g., NVIDIA Jetson, Qualcomm, TI, or custom SoCs). Mentor and guide a team of algorithm engineers and researchers to meet technical milestones. Collaborate with cross-functional teams (hardware, systems, validation, cloud) to ensure system-level performance and safety. Ensure alignment with ASPICE, ISO 26262, and other automotive standards. Conduct regular code and architecture Preferred candidate profile: 6-10 years of experience in AI/ML algorithm development, with at least 5 years in the ADAS domain. Master's degree or higher in Computer Science, Electrical Engineering, or a related field. Ph.D. is a plus. Strong background in automotive (ADAS, DMS, object detection) Experience in leading algorithm integration into production ADAS ECU/software platforms. Excellent communication, leadership, and mentoring abilities. Technical Skills : Programming: Python, C++, TensorFlow, PyTorch, OpenCV. Algorithms: Image enhancement, super-resolution, denoising, segmentation, feature extraction. ML Techniques: CNNs, GANs, transformers for vision, classical computer vision. Domain Knowledge: Automotive standards (ISO 26262, ASPICE), DICOM, HL7, medical imaging formats. Optimization: Quantization, pruning, real-time inference on GPUs, NPUs, embedded systems. Tools: Docker, Kubernetes, CI/CD, cloud platforms (AWS, Azure, GCP). Data Handling: Large-scale image datasets, annotation workflows, synthetic data generation. Deployment: Edge devices (NVIDIA Jetson, Qualcomm, TI)

Job Information Date Opened 08/26/2025 Job Type Full time Industry Technology Work Experience 1-3 years City Mohali State/Province Punjab Country India Zip/Postal Code 160075 Job Description ABOUT XENONSTACK XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems , enabling people and organizations to gain real-time and intelligent business insights . We deliver innovation through: Akira AI – Building Agentic Systems for AI Agents XenonStack Vision AI – Vision AI Platform NexaStack AI – Inference AI Infrastructure for Agentic Systems Our mission is to accelerate the world’s transition to AI + Human Intelligence , combining reasoning, perception, and action to create enterprise-ready AI agents . THE OPPORTUNITY We are seeking an Agentic AI Engineer (Specialized in Reinforcement Learning) with 2–5 years of experience in applying RL to enterprise-grade systems. This role involves designing and deploying adaptive AI agents that continuously learn, optimize decisions, and evolve in dynamic environments. You’ll work at the intersection of RL research, agentic orchestration, and real-world enterprise workflows — building agents that do more than automate, but truly reason, adapt, and improve over time . JOB ROLES AND RESPONSIBILITIES Reinforcement Learning Development Design, implement, and train RL algorithms (PPO, A3C, DQN, SAC) for enterprise decision-making tasks. Develop custom simulation environments to model business processes and operational workflows. Experiment with reward function design to balance efficiency, accuracy, and long-term value creation. Agentic AI System Design Build production-ready RL-driven agents capable of dynamic decision-making and task orchestration. Integrate RL models with LLMs, knowledge bases, and external tools for agentic workflows. Implement multi-agent systems to simulate collaboration, negotiation, and coordination. Deployment & Optimization Deploy RL agents on cloud and hybrid infrastructures (AWS, GCP, Azure). Optimize training and inference pipelines using distributed computing frameworks (Ray RLlib, Horovod). Apply model optimization techniques (quantization, ONNX, TensorRT) for scalable deployment. Evaluation & Monitoring Develop pipelines for evaluating agent performance (robustness, reliability, interpretability). Implement fail-safes, guardrails, and observability for safe enterprise deployment. Document processes, experiments, and lessons learned for continuous improvement. SKILLS REQUIREMENTS Technical Skills 2–5 years of hands-on experience with Reinforcement Learning frameworks (Ray RLlib, Stable Baselines, PyTorch RL, TensorFlow Agents). Strong programming skills in Python ; proficiency with PyTorch / TensorFlow . Experience designing and training RL algorithms (PPO, DQN, A3C, Actor-Critic methods). Familiarity with simulation environments (Gymnasium, Isaac Gym, Unity ML-Agents, custom simulators). Experience in reward modeling and optimization for real-world decision-making tasks. Knowledge of multi-agent systems and collaborative RL is a strong plus. Familiarity with LLMs + RLHF (Reinforcement Learning with Human Feedback) is desirable. Exposure to cloud platforms (AWS/GCP/Azure) , containers (Docker, Kubernetes), and CI/CD for ML. Professional Attributes Strong analytical and problem-solving mindset. Ability to balance research depth with practical engineering for production-ready systems. Collaborative approach, working across AI, data, and platform teams. Commitment to Responsible AI (bias mitigation, fairness, transparency). XENONSTACK CULTURE – JOIN US & MAKE AN IMPACT! At XenonStack, we believe in shaping the future of intelligent systems . We foster a culture of cultivation built on bold, human-centric leadership principles, where deep work, simplicity, and adoption define everything we do. Our Cultural Values Agency – Be self-directed and proactive. Taste – Sweat the details and build with precision. Ownership – Take responsibility for outcomes. Mastery – Commit to continuous learning and growth. Impatience – Move fast and embrace progress. Customer Obsession – Always put the customer first. Our Product Philosophy Obsessed with Adoption – Making AI agents accessible and enterprise-ready. Obsessed with Simplicity – Turning complex RL + agentic challenges into intuitive, reliable systems. Be part of our mission to reimagine adaptive, enterprise-grade AI agents with Reinforcement Learning and accelerate the world’s transition to AI + Human Intelligence . WHY SHOULD YOU JOIN US? 1. Agentic AI Product Company Build enterprise-grade AI platforms powered by Machine Learning, Generative AI, and Agentic Systems. From Vision AI to Inference Infrastructure, you’ll shape products that redefine enterprise AI adoption. 2. A Fast-Growing Category Leader XenonStack is one of the fastest-growing Data and AI Foundries , setting benchmarks in how businesses deploy and scale AI agents with platforms like Akira AI, NexaStack, and Vision AI . 3. Career Mobility & Growth Move between roles and functions — from AI Engineering to Product Marketing or AgentOps — and craft a career that grows with your aspirations. 4. Global Exposure Work with Fortune 500 enterprises, BFSI leaders, and global innovators , delivering real-world impact across industries and geographies. 5. Create Real Impact Contribute from day one. Even junior team members work on mission-critical product features that go into production. 6. Culture of Excellence Our values — Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession — empower you to push boundaries and innovate fearlessly. 7. Responsible AI First Join a company that prioritizes trustworthy, explainable, and compliant AI . You’ll contribute to Responsible AI frameworks , ensuring our agentic systems are not just powerful, but also ethical and reliable.

We are seeking a highly skilled GenAI Engineer with 3–4 years of experience in AI/ML and hands-on expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Small Language Models (SLMs), embeddings, and vector databases . You will play a key role in designing, building, and deploying AI-driven solutions that power intelligent applications. Key Responsibilities Research, design, fine-tune, and deploy LLMs and SLMs for production use cases. Build and implement RAG pipelines with vector databases for domain-specific knowledge integration. Develop and optimize embeddings for search, semantic retrieval, and personalization. Integrate LLMs into real-world applications via APIs, chatbots, or microservices . Experiment with custom model training, fine-tuning, and parameter-efficient techniques (LoRA, PEFT, QLoRA, adapters) . Ensure solutions are scalable, cost-optimized, and production-ready . Work closely with data, product, and engineering teams to align AI outputs with business goals. Stay ahead of the curve with the latest GenAI, NLP, and ML research advancements. Required Skills & Experience 3–4 years of professional experience in AI/ML, NLP, or GenAI engineering . Strong background in LLMs (OpenAI GPT, LLaMA, Falcon, Mistral, Claude, etc.). Experience in RAG workflows using vector DBs like: Pinecone, Weaviate, Milvus, FAISS, Chroma Solid understanding of embeddings models (OpenAI, Hugging Face, Sentence-BERT, InstructorXL). Hands-on with SLMs (Phi-3, TinyLLaMA, DistilBERT, etc.) and techniques for efficiency. Proficiency in Python and frameworks such as: PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex Knowledge of API frameworks : FastAPI, Flask, gRPC. Experience with cloud AI platforms : AWS (SageMaker, Bedrock), Azure AI, GCP Vertex AI. Familiarity with MLOps : MLflow, Weights & Biases, Kubeflow, Docker, Kubernetes, CI/CD pipelines. Experience in data preprocessing and pipelines : Pandas, NumPy, Spark (nice to have). Nice to Have Exposure to multi-modal LLMs (text, vision, speech). Experience building chatbots, copilots, or enterprise GenAI apps . Knowledge of prompt engineering & evaluation frameworks (LangSmith, Promptfoo, Ragas). Hands-on with LLM optimization (quantization, pruning, distillation). Knowledge of security and compliance in AI systems. Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹60,000.00 per month Experience: AI ML: 3 years (Required) Location: Mohali, Punjab (Required) Work Location: In person

Job Title: AI/ML Engineer (4+ Years Experience) Job Summary: We are looking for an AI/ML Engineer with 4 years of experience in designing, developing, and deploying machine learning and artificial intelligence solutions. The right candidate will have a solid background in algorithms, data pipelines, and model optimization, along with practical experience in production-level ML systems. Key Responsibilities: - Design, build, and deploy scalable machine learning models and AI solutions. - Work with various teams to gather requirements, understand business challenges, and provide AI-driven insights. - Preprocess, clean, and analyze large datasets to create reliable models. - Develop and implement deep learning and NLP-based models for real-world applications. - Improve model performance and ensure efficient use in production environments. - Maintain, monitor, and enhance existing ML models. - Collaborate with data engineers to develop data pipelines and MLOps workflows. - Research and evaluate new AI/ML frameworks, tools, and techniques to improve solutions. - Document technical designs, workflows, and processes. Required Skills & Qualifications: - Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. - 4+ years of experience as an AI/ML Engineer or in a similar role. - Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). - Practical experience with ML algorithms (supervised, unsupervised, reinforcement learning, NLP, computer vision). - Experience with deep learning architectures (CNNs, RNNs, Transformers, LSTMs, GANs). - Proficiency in handling large datasets using SQL, Spark, or Hadoop. - Understanding of MLOps practices (Docker, Kubernetes, MLflow, Airflow, or Kubeflow). - Familiarity with cloud platforms (AWS, Azure, GCP) for ML/AI services. - Strong problem-solving and analytical thinking abilities. - Good communication and teamwork skills. Preferred Qualifications (Good to Have): - Experience with LLMs (Large Language Models) and fine-tuning. - Knowledge of vector databases and AI search technologies. - Exposure to edge AI or embedded ML. - Experience in deploying ML models through REST APIs or microservices. - Published research papers or contributions to open-source ML projects. Interested candidate, share your cv at mandeep.singh@matrixmarketers.com Contact us at 9878011368 Job Type: Full-time Pay: ₹1,200,000.00 - ₹2,000,000.00 per year Benefits: Provident Fund Work Location: In person

Job Title: Backend Developer Internship In Mohali Location: Mohali Duration : 6 Months Stipend Details: Rs.10,000-15,000/month Job Summary: We are looking for a passionate and enthusiastic Intern to join our IT software solutions team. This internship provides an excellent opportunity to gain hands-on experience in full-stack development, working on cutting-edge technologies, including AI-driven applications. The ideal candidate should have a strong interest in both front-end and back-end development and be eager to learn and grow in a dynamic work environment. Responsibilities: Assist in the design, development, and maintenance of web applications and software solutions. Work with senior developers to implement front-end and back-end features using modern frameworks and technologies. Write clean and efficient code under the guidance of experienced developers. Participate in debugging, troubleshooting, and improving application performance. Collaborate with cross-functional teams to understand project requirements and deliver quality solutions. Learn and work on AI and machine learning integration as an additional skill. Stay updated with the latest trends and advancements in software development. Requirements: Currently pursuing or recently completed a Bachelor’s/Master’s degree in Computer Science, IT, or a related field. School Education Board should be CBSE/ICSE Basic knowledge of front-end technologies such as HTML, CSS, JavaScript, React.js, Angular, or Vue.js. Understanding of back-end development with Node.js, Python, Java, or PHP. Familiarity with databases like MySQL, PostgreSQL, or MongoDB. Exposure to cloud platforms such as AWS, Azure, or Google Cloud is a plus. Basic understanding of version control systems (Git, GitHub, GitLab). Interest in AI/ML technologies (TensorFlow, PyTorch, OpenAI, or related frameworks) is a plus. Strong problem-solving skills and eagerness to learn new technologies. Good communication and teamwork skills. Job Types: Full-time, Permanent, Internship Contract length: 6 months Pay: ₹12,000.00 - ₹15,000.00 per month Benefits: Health insurance Provident Fund Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Are you willing to relocate to Mohali ? What is your School Education Board ? Work Location: In person

Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Team Overview As Lead AI Engineer , you will join a Target Tech team responsible for building and scaling Pricing solutions. You will play crucial lead role in designing, implementing, and optimizing the machine learning solutions in production. Additionally, youll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need. Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs. About You 4-year degree and/or a Masters in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience 6-plus years of experience in end-to-end application development , data exploration, data pipelining, API design, optimization of model latency Expertise in MLOps frameworks and hands on experience in MLOps platforms and tools preferably Google VertexAI, MLFlow etc. 4-plus years of experience deploying Machine Learning algorithms into production environments - including model and system monitoring and troubleshooting Highly proficient programming in Scala and/or Python/Pyspark Good understanding of Big Data tech - specifically Hadoop, Kafka, Spark Experience in handling streaming data and real-time forecasting solutions deployment Solid understanding of data analysis techniques, including data cleaning, preprocessing, and visualization Demonstrated ability collaborating with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented - able to meet tight timelines Motivated, team player with ability to collaborate effectively across global team Understanding of retail industry and pricing concepts is added advantage Bonus Points: Extensive experience with Deep Learning frameworks TensorFlow, Pytorch or Keras Masters/PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field Extensive experience developing highly distributed ML systems at scale Deep expertise with Vertex AI and Cloud ML ecosystem will be desirable Experience in mentoring the junior team members ML skillset and career development