4224 Pytorch Jobs - Page 3

Company: Indian / Global Engineering & Manufacturing Organization Key Skills: Machine Learning, ML, AI Artificial intelligence, Artificial Intelligence, Tensorflow, Python, Pytorch. Roles and Responsibilities: Design, build, and rigorously optimize the complete stack necessary for large-scale model training, fine-tuning, and inference--including dataloading, distributed training, and model deployment--to maximize Model Flop Utilization (MFU) on compute clusters. Collaborate closely with research scientists to translate state-of-the-art models and algorithms into production-grade, high-performance code and scalable infrastructure. Implement, integrate, and test advancements from recent research publications and open-source contributions into enterprise-grade systems. Profile training workflows to identify and resolve bottlenecks across all layers of the training stack--from input pipelines to inference--enhancing speed and resource efficiency. Contribute to evaluations and selections of hardware, software, and cloud platforms defining the future of the AI infrastructure stack. Use MLOps tools (e.g., MLflow, Weights & Biases) to establish best practices across the entire AI model lifecycle, including development, validation, deployment, and monitoring. Maintain extensive documentation of infrastructure architecture, pipelines, and training processes to ensure reproducibility and smooth knowledge transfer. Continuously research and implement improvements in large-scale training strategies and data engineering workflows to keep the organization at the cutting edge. Demonstrate initiative and ownership in developing rapid prototypes and production-scale systems for AI applications in the energy sector. Experience Requirement: 5-9 years of experience building and optimizing large-scale machine learning infrastructure, including distributed training and data pipelines. Proven hands-on expertise with deep learning frameworks such as PyTorch, JAX, or PyTorch Lightning in multi-node GPU environments. Experience in scaling models trained on large datasets across distributed computing systems. Familiarity with writing and optimizing CUDA, Triton, or CUTLASS kernels for performance enhancement is preferred. Hands-on experience with AI/ML lifecycle management using MLOps frameworks and performance profiling tools. Demonstrated collaboration with AI researchers and data scientists to integrate models into production environments. Track record of open-source contributions in AI infrastructure or data engineering is a significant plus. Education: M.E., B.Tech M.Tech (Dual), BCA, B.E., B.Tech, M. Tech, MCA. Show more Show less

Company: Indian / Global Engineering & Manufacturing Organization Key Skills: Machine Learning, AI Artificial intelligence, Artificial Intelligence, Python, Pytorch. Roles and Responsibilities: Develop, fine-tune, and deploy AI/ML models using frameworks such as TensorFlow, PyTorch, and Scikit-learn. Design and implement data pipelines, perform feature engineering, and handle data preprocessing for training and inference. Integrate AI models into business applications and APIs, ensuring scalability and performance. Collaborate with MLOps teams to deploy solutions on cloud platforms like AWS, Azure, or Google Cloud using CI/CD pipelines, Docker, and Kubernetes. Conduct model evaluation, hyperparameter tuning, and implement strategies for continuous performance improvement. Apply AI techniques to solve real-world problems in domains such as NLP, computer vision, or reinforcement learning. Work closely with cross-functional teams including data scientists, software engineers, and business stakeholders to deliver end-to-end AI solutions. Communicate complex technical concepts and model behavior clearly to non-technical stakeholders. Experience Requirement: 3-5 years of experience in building and deploying AI/ML models into production environments. Experience in setting up and managing CI/CD pipelines for model deployment. Proven ability in optimizing underperforming models through data analysis, feature selection, and algorithm tuning. Demonstrated collaboration on cross-functional projects to embed AI in real-world business applications. Strong background in model lifecycle management and production-grade AI system development. Education: M.E., MCA, BCA, B.E., B.Tech. Show more Show less

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Work collaboratively with Data Analyst, Data Scientists Software Engineers and cross-functional partners to design and deploy data pipelines to deliver analytical solution. Responsible for building data pipelines, data model, data marts, data warehouse including OLAP cube in multidimensional data model with proficiency / conceptual understanding of PySpark and SQL scripting. Responsible for the design, development, testing, implementation and support functional semantic data marts using various modeling techniques from underlying data stores/data warehouse and facilitate Business Intelligence Data Solutions Experience in building reports, dashboards, scorecards & visualization using Tableau/ Power BI and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data. Responsible for AI/ML model Utilizing machine learning, statistical methods, data mining, forecasting and predictive modeling techniques. Following Dev Ops Model, Agile implementation, CICD method of deployment & JIRA creation / management for projects. Define and build technical/data documentation and experience with code version control systems (for e.g., git). Assist owner with periodic evaluation of next generation & modernization of platform. Exhibit Leadership Principles such as Accountability & Ownership of High Standards: Given the criticality & sensitivity of data . Customer Focus : Going Above & Beyond in finding innovative solution and product to best serve the business needs and there-by Visa. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications • Bachelors degree or •0.6-1.6 years of work experience with a Bachelor’s Degree or Master's Degree in computer / information science with relevant work experience in IT industry •Enthusiastic, energetic and self-learning candidates with loads of curiosity and flexibility. •Proven hands-on capability in the development of data pipelines and data engineering. •Experience in creating data-driven business solutions and solving data problems using technologies such as Hadoop, Hive, and Spark. •Ability to program in one or more scripting languages such as Python and one or more programming languages such as Java or Scala. •Familiarity with AI-centric libraries like TensorFlow, PyTorch, and Keras. •Familiarity with machine learning algorithms and statistical models is beneficial. •Critical ability to interpret complex data and provide actionable insights. This encompasses statistical analysis, predictive modeling, and data visualization. •Extended experience in Agile Release Management practices, governance, and planning. •Strong leadership skills with demonstrated ability to lead global, cross-functional teams. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Show more Show less

Role: AI/ML Engineer Relevant experience: 3+ years Location: Bangalore/Mysore/Coimbatore Work mode: From office 5 days a week Job Summary: We are looking for an innovative AI/ML Engineer to join our team and work on cutting-edge machine learning and artificial intelligence projects. The ideal candidate will have experience in building, deploying, and optimizing AI/ML models, along with a strong foundation in data science, programming, and algorithms. You will help drive the development of intelligent systems that leverage machine learning to solve real-world problems and improve business outcomes. Key Responsibilities: Data Preparation and Analysis: Ability to understand large datasets, preprocess them, and extract features Data Preprocessing Techniques: Knowledge of normalization, feature encoding, and handling missing values Data Cleaning: Identifying and rectifying errors, outliers, and missing values within datasets Design, develop, and implement machine learning & Deep Learning (FNN, CNN, RNN) models, with a focus on LLMs, generative AI, and fraud detection systems. Deploy and maintain ML models in AWS or any other cloud environments. Optimize model performance and scalability. Collaborate with cross-functional teams to integrate AI solutions into existing applications. Develop and maintain APIs (RESTful) for AI model integration. Implement MLOps best practices to streamline the ML lifecycle. Stay up-to-date with the latest advancements in AI/ML and incorporate new techniques into our workflow. Develop and implement fraud detection models to identify and prevent fraudulent activities. Evaluate model performance using appropriate metrics and techniques, ensuring high accuracy and reliability. Experience with Machine Learning Libraries and Frameworks: Familiarity with tools like TensorFlow, PyTorch, and scikit-learn, Keras Show more Show less

Company: A Large Global Organization Key Skills: Machine Learning, Linear Regression, Deep Learning, Pytorch, Python, R Programming. Roles and Responsibilities: Lead and mentor a team of data scientists in developing advanced machine learning models. Design and implement data-driven strategies to solve complex business problems. Collaborate with cross-functional teams to integrate data science solutions into business operations. Conduct research and development to innovate new algorithms and methodologies. Analyze large datasets to extract meaningful insights and drive business growth. Present findings and recommendations to stakeholders in a clear and actionable manner. Stay updated with the latest trends and advancements in data science and machine learning. Work mode: Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH). Experience Requirement: 13-15 years of experience in data science, with strong expertise in machine learning and deep learning. Proven experience in applying linear regression and other supervised learning techniques to real-world business problems. Hands-on experience in leading end-to-end data science projects from data preprocessing to model deployment. Demonstrated success in managing and mentoring high-performing data science teams. Strong ability to translate business challenges into data science solutions and measurable outcomes. Track record of delivering business impact through innovative use of machine learning and analytics. Education: Any Graduation. Show more Show less

Exciting Opportunity for AI /ML Developer Freshers at Cogent Innovation Pvt Ltd Experience •Experience: Fresher only, no prior industry experience required •Academic/Internship/Project work in AI must be showcased Educational & Skill Requirements •Bachelor’s degree in Computer Science, Information Technology, Data Science, AI/ML, or related field •Strong foundational knowledge of Artificial Intelligence, Machine Learning, and Deep Learning •Hands-on experience in at least one academic or personal project related to AI (e.g., image recognition, NLP chatbot, recommendation systems, etc.) •Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV, or Hugging Face •Exposure to data handling using Pandas, NumPy, etc. •Knowledge of LangChain is required Job Type: Full-time Pay: From ₹200,000.00 per year Schedule: Day shift Monday to Friday Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Education: Master's (Preferred) Experience: total work: 1 year (Preferred) Flutter: 1 year (Preferred)

Job Description ( Candidates with less than 5 years of experience, please do not apply for this. Wait for my next post for engineer roles) In this role, you will be working with one of the top engineering companies in the world, will be handling complex algorithms involving peta bytes of data. In this role you'll be responsible for building machine learning based systems and conduct data analysis that improves the quality of our large geospatial data. You’ll be developing NLP models to extract information, using outlier detection to identifying anomalies and applying data science methods to quantify the quality of our data. You will take part in the development, integration, productionisation and deployment of the models at scale, which would require a good combination of data science and software development. Responsibilities Development of machine learning models Building and maintaining software development solutions Provide insights by applying data science methods Take ownership of delivering features and improvements on time Must-have Qualifications 6+ years experience Senior data scientist/ML engineer preferable with knowledge of NLP Strong programming skills and extensive experience with PythonProfessional experience working with LLMs, transformers and open-source models from HuggingFace Professional experience working with machine learning and data science, such as classification, feature engineering, clustering, anomaly detection and neural networks Knowledgeable in classic machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN etc). Experience using deep learning libraries and platforms, such as PyTorch Experience with frameworks such as Sklearn, Numpy, Pandas, Polars Excellent analytical and problem solving skillsExcellent oral and written communication skills Extra Merit Qualifications Knowledge in at least one of the following: NLP, information retrieval, data mining Ability to do statistical modeling and building predictive models Programming skills and experience with Scala and/or Java Show more Show less

Job Description Design and develop machine learning models tailored to mechanical engineering challenges, including predictive modelling, simulation optimisation, and failure analysis. Utilise deep learning and other advanced ML techniques to improve the accuracy and efficiency of CAE simulations. Preprocess and analyse large datasets from CAE simulations, experimental tests, and manufacturing processes for modelling. Train, validate, and fine-tune machine learning models using real-world engineering data. Optimise models for performance, scalability, and robustness in production environments. Collaborate with CAE engineers to integrate ML models into existing simulation workflows (e.g., FEA, CFD, structural analysis). Automate repetitive simulation tasks and enable predictive analytics for design optimisation. Work closely with mechanical engineers, data scientists, and software developers to identify business challenges and develop data-driven solutions. Deploy machine learning models into production environments and monitor their performance. Maintain and update models to ensure reliability and continuous improvement. Stay abreast of the latest advancements in machine learning, AI, and CAE technologies. Apply innovative approaches to solve complex engineering problems. Requirements Bachelor’s or Master’s degree in Mechanical Engineering, Computer Science, or a related field Proven 2-3 years of experience in developing and deploying machine learning models, preferably in mechanical engineering or CAE domain Hands-on experience with CAE tools such as ANSYS, Abaqus, or similar FEA/CFD software Strong programming skills in Python, R, or Java Proficiency in machine learning frameworks (TensorFlow, PyTorch, scikit-learn) Experience with data preprocessing, feature engineering, and statistical analysis Solid understanding of mathematics, statistics, and problem-solving skills Excellent analytical thinking and ability to tackle complex engineering challenges Strong communication and teamwork skills to collaborate across disciplines Preferred: Experience with physics-informed machine learning and digital twin technologies Preferred: Familiarity with automation of CAE workflows and predictive modelling for product design Benefits Challenging job and a chance to team up with a young and dynamic professional group Chance to build yourself as WE grow. Remuneration that stays competitive and attractive to retain the best. Opportunity to join an organization experiencing year on year growth check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> Show more Show less

Lead AI/ML & 3D Systems Engineer (CTO-Track) Location: Remote / Hybrid Experience: 3–5 years (not prior CTO) Type: Full-time | Co-founder Track | Equity Only (Pre-Funding) About the Role We're building the future of immersive fashion. At Sixth Dimension Labs , we're leveraging AI, AR/VR, and 3D technology to transform how people shop for fashion online. We're looking for a hands-on technologist, not a seasoned CTO, but someone with 3–5 years of experience in AI/ML and 3D engineering who wants to grow into that role. You'll help architect our platform's AI and backend foundations, build real-time avatar and garment simulations, and bring immersive commerce to life. What You'll Do Develop fit prediction and style recommendation models using ML Build and integrate 3D avatars and garment simulations (mesh, drape, rigging) Design backend systems and APIs that support real-time AR/VR interactions Work alongside AR/VR developers and designers to bring IER to life Help structure the data and compute pipeline (biometric, e-commerce, visual) Prepare the platform for scale, security, and SaaS integrations Please contribute to our technical IP and patent filings You Have 3–5 years of experience in AI/ML and backend development Strong hands-on knowledge of Python, TensorFlow, PyTorch , or similar Experience with 3D models , avatars, or simulation (e.g., Unity, Unreal, Blender, WebGL) Familiarity with cloud platforms (AWS/GCP), RESTful APIs, and containerisation A portfolio or GitHub demonstrating applied ML or 3D engineering work Curiosity, initiative, and readiness to co-build from zero What You Get Founding-level equity and title growth Direct impact on a sustainable, future-facing industry Access to high-end fashion partners and an investor network A chance to define the future of immersive commerce Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies effectively into existing systems and workflows. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing and training sessions to enhance team capabilities. - Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI applications. Additional Information: - The candidate should have minimum 7.5 years of experience in Large Language Models. - This position is based in Pune. - A 15 years full time education is required. Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and other AI technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in AI and machine learning. - Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI applications. Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based at our Mumbai office. - A 15 years full time education is required. Show more Show less

Company Description Tarsyer Insights is a startup founded in 2021 that uses computer vision to solve problems related to safety and productivity. Our mission is to solve these issues in a efficient manner through the deployment of edge devices that provide detailed answers for manufacturing and retail. Role Description This is an on-site role located in Pune for a Computer Vision developer. As a Computer Vision engineer, you will be responsible for the development and deployment of computer vision models for specific use cases within our solution. You will be part of the team to create, optimize, and evaluate algorithms and models for object detection, classification, segmentation, and tracking tasks. Qualifications - A Bachelor's or Master's program in Computer Science, Computer Engineering, or a related field. While we are not picky about degrees, you should have something unique to show from your academic program (a project, a paper, a product or even an idea) - Strong coding skills in Python and familiarity with at least one machine learning framework (PyTorch or TensorFlow). If you know C++, that is a big bonus - Basic understanding of the methods, concepts, and techniques used in computer vision, such as feature extraction, object detection, segmentation, tracking, and classification. - Experience with OpenCV, image processing, and deep learning architectures. - Ability to work independently, with good problem-solving skills and attention to detail. We value independent workers who can get the job done by themselves - Good communication and interpersonal skills, as you will be collaborating with others as well as the customer We are looking for candidates with 1-3 years of experience. But if you have recently graduated or graduating soon and feel that you fit the bill, then go ahead and apply! Questions? Contact us at careers@tarsyer.com Show more Show less

You will lead the development of predictive machine learning models for Revenue Cycle Management analytics, along the lines of: 1 Payer Propensity Modeling - predicting payer behavior and reimbursement likelihood 2 Claim Denials Prediction - identifying high-risk claims before submission 3 Payment Amount Prediction - forecasting expected reimbursement amounts 4 Cash Flow Forecasting - predicting revenue timing and patterns 5 Patient-Related Models - enhancing patient financial experience and outcomes 6 Claim Processing Time Prediction - optimizing workflow and resource allocation Additionally, we will work on emerging areas and integration opportunities—for example, denial prediction + appeal success probability or prior authorization prediction + approval likelihood models. You will reimagine how providers, patients, and payors interact within the healthcare ecosystem through intelligent automation and predictive insights, ensuring that providers can focus on delivering the highest quality patient care. VHT Technical Environment 1 Cloud Platform: AWS (SageMaker, S3, Redshift, EC2) 2 Development Tools: Jupyter Notebooks, Git, Docker 3 Programming: Python, SQL, R (optional) 4 ML/AI Stack: Scikit-learn, TensorFlow/PyTorch, MLflow, Airflow 5 Data Processing: Spark, Pandas, NumPy 6 Visualization: Matplotlib, Seaborn, Plotly, Tableau Show more Show less

Hi, We are looking for AI TRAINER for Bangalore location. Qualifications: • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. • 8-10 years of professional experience in the technology industry, with a focus on AI/ML/Gen AI development and deployment. • Proven track record of successfully designing and delivering technical training programs with practical use cases • Deep understanding of AI/Gen AI concepts, algorithms, and tools, including machine learning frameworks (e.g., TensorFlow, PyTorch) and large language models. • Hands-on experience building and deploying AI models, including experience with fine-tuning and adapting pre-trained models. • Experience integrating AI capabilities into existing platforms and workflows, developing AI Agents, benchmarking and finetuning LLMs • Excellent communication, presentation, and interpersonal skills. • Ability to explain complex technical concepts clearly and concisely to both technical and non-technical audiences. • Strong problem-solving and analytical skills. • Experience working in a fast-paced, dynamic environment. Bonus Points: • Experience working with tech companies/startups and having developed AI products. • Certifications in AI/ML. • Contributions to open-source AI projects. Show more Show less

At Rayvector, we are looking for talented AI / ML / Computer vision developers who can create cutting-edge ML solutions. Our ideal candidate will have 2-3 years of experience in Computer vision, strong knowledge of the relevant frameworks, and the analytical skills to solve the problems at hand. Working across many different departments, this role requires a candidate with a proactive attitude and a good team ethic to unify a common vision. Responsibilities Convert the machine learning models into application program interfaces. Build AI models from scratch and help the different components of the organization (such as product managers and stakeholders) understand what results they gain from the model Build data ingestion and data transformation infrastructure Automate the infrastructure that the data science team uses Perform statistical analysis and tune the results so that the organization can make better-informed decisions Set up and manage AI development and product infrastructure. Maintain and improve our existing in-house algorithms and models, including continuous evaluation, fine-tuning Optimize algorithm performance across a wide range of development platforms Develop evaluation scripts to process and accurately measure algorithmic and end-to-end performance Qualifications Bachelor's or Masters's degree in Computer Science / Mathematics / Applied Mathematics. Minimum of 2-3 years of industry experience. Key Skills Strong Python programming experience, familiarity with software development best practices, debugging/profiling Experience with OpenCV, PIL, and other image-processing libraries Experience with at least one mainstream deep learning framework such as PyTorch and TensorFlow Familiarity with data science toolkits such as jupyter lab/notebooks, pandas, bash scripting, Linux environment Hands-on experience with different neural network architectures/modules. Experience with CNNs is a plus Excellent problem-solving skills. Good communication skills Show more Show less

We are seeking an experienced AI Architect to drive innovation in AI/ML solutions within the AI COE. The role focuses on implementing Data Science, traditional AI, advanced AI technologies, including Large Language Models (LLMs), GEN AI, TensorFlow. This position requires working experience in RAG architecture and MLOps, collaborating with cross-functional teams to deliver scalable AI solutions. Note : The base location for this role is Mumbai/ Bengaluru. Key Responsibilities: Share expertise on AI and generative technologies, offering thought leadership for COE Practice. Architect scalable AI systems that seamlessly integrate with current needs. Lead AI model development and implementation, staying abreast of the latest advancements in AI. Conduct code reviews, troubleshoot, and optimize performance for top-notch solutions. Experience in working on RFP/Presales activities, estimations and cloud migration strategies for applications. Collaborate with cross-functional teams to drive innovation and meet project objectives. Stay updated on industry trends and technologies to foster innovation and growth. Requirements: Experience: 12+ years in AI/ML Architecture Technical Skills: Providing technical sales strategies and Data Science & AI application deployments. Proven experience with LLMs, including fine-tuning and deployment Advanced knowledge of RAG architecture and implementation Hands on Experience in Tensorflow and Data science. Should have worked on Classic AI. Strong background in MLOps and model monitoring Experience with distributed computing and GPU optimization Programming: Proficiency in programming languages such as Python, R, or Java, and familiarity with AI libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn Experience with graph databases and vector stores Knowledge of SQL and NoSQL databases Preferred Qualifications: Education: B.Tech/B.E (IT) or higher Show more Show less

Calling AI Engineers! We are a tech firm passionately shaping the future. As we ride the wave of cutting-edge technology, we seek to onboard exceptional Artificial Intelligence Engineers who can match our zeal for innovation and progress. We believe in redefining the impossible, challenging the norm, and continuously evolving in the AI space. If you have the fervour to make a transformative impact, then you're the technologist we're looking for! Your Role: Designing and implementing cutting-edge AI solutions that meet business objectives Training and tuning complex machine learning models Collaborating with cross-functional teams to translate algorithmic ideas into efficient, scalable solutions Ensuring solutions adhere to high standards of reliability, efficiency, and performance Your Skills and Experience: A robust foundation in computer science, with specialisations in AI, machine learning, or related fields Solid experience in deploying AI models in a production setting Proficiency in Python, R, TensorFlow, PyTorch, or similar A clear understanding of data structures and algorithms, along with expertise in predictive modeling, statistics, and deep learning Comfort with agile methodologies, test-driven development, and cloud-based environments 0-3 years of total work experience What We Offer: A vibrant, inclusive environment that promotes open dialogue and collaboration Freedom to experiment, push boundaries, and lead exciting projects Continued learning opportunities The chance to redefine the world as we know it! In a world where change is the only constant, we stand tall as pioneers of the new age. With us, you're not just another engineer. You are a trailblazer, a problem solver, a catalyst of change. Send your application to ai@fulcrumdigital.com (We are proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.) Show more Show less

Technical Expertise : (minimum 2 year relevant experience) ● Solid understanding of Generative AI models and Natural Language Processing (NLP) techniques, including Retrieval-Augmented Generation (RAG) systems, text generation, and embedding models. ● Exposure to Agentic AI concepts, multi-agent systems, and agent development using open-source frameworks like LangGraph and LangChain. ● Hands-on experience with modality-specific encoder models (text, image, audio) for multi-modal AI applications. ● Proficient in model fine-tuning, prompt engineering, using both open-source and proprietary LLMs. ● Experience with model quantization, optimization, and conversion techniques (FP32 to INT8, ONNX, TorchScript) for efficient deployment, including edge devices. ● Deep understanding of inference pipelines, batch processing, and real-time AI deployment on both CPU and GPU. ● Strong MLOps knowledge with experience in version control, reproducible pipelines, continuous training, and model monitoring using tools like MLflow, DVC, and Kubeflow. ● Practical experience with scikit-learn, TensorFlow, and PyTorch for experimentation and production-ready AI solutions. ● Familiarity with data preprocessing, standardization, and knowledge graphs (nice to have). ● Strong analytical mindset with a passion for building robust, scalable AI solutions. ● Skilled in Python, writing clean, modular, and efficient code. ● Proficient in RESTful API development using Flask, FastAPI, etc., with integrated AI/ML inference logic. ● Experience with MySQL, MongoDB, and vector databases like FAISS, Pinecone, or Weaviate for semantic search. ● Exposure to Neo4j and graph databases for relationship-driven insights. ● Hands-on with Docker and containerization to build scalable, reproducible, and portable AI services. ● Up-to-date with the latest in GenAI, LLMs, Agentic AI, and deployment strategies. ● Strong communication and collaboration skills, able to contribute in cross-functional and fast-paced environments. Bonus Skills ● Experience with cloud deployments on AWS, GCP, or Azure, including model deployment and model inferencing. ● Working knowledge of Computer Vision and real-time analytics using OpenCV, YOLO, and similar Show more Show less

About Knowdis.ai Knowdis.ai is an AI-first company specializing in e-commerce applications. We harness the power of machine learning and AI to enhance e-commerce operations, optimize customer experiences, and drive growth. If you are passionate about AI-driven product innovation, this is the perfect opportunity to make a meaningful impact. Key Responsibilities: - Infrastructure Management: Build scalable and robust infrastructure for ML models, ensuring seamless production integration. - CI/CD Expertise: Develop and maintain CI/CD pipelines with a focus on ML model deployment. - Model Deployment and Monitoring: Deploy ML models using TensorFlow Serving, Pytorch Serving, Triton Inference Server, or TensorRT and monitor their performance in production. - Collaboration: Work closely with data scientists and software engineers to transition ML models from research to production. - Security and Compliance: Uphold security protocols and ensure regulatory compliance in ML systems. Skills and Experience Required: - Proficiency in Docker and Kubernetes for containerization and orchestration. - Experience with CI/CD pipeline development and maintenance. - Experience in deploying ML models using TensorFlow Serving, Pytorch Serving, Triton Inference Server, and TensorRT. - Experience with cloud platforms like AWS, Azure, and GCP. - Strong problem-solving, communication, and teamwork skills. Qualifications: - Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field. - 4-6 years of experience in ML project management, with a recent focus on MLOps. Additional Competencies: - AI Technologies Deployment, Data Engineering, IT Performance, Scalability Testing, and Security Practices. SELECTION PROCESS: Interested Candidates 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 of the Client. Candidates selected after the screening test will be interviewed by the Client Show more Show less

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry. Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities? Join us! We'll love to explore more about you if you have Qualification: B.E/B.Tech/M.E/M.Tech/PhD from tier 1 engineering institutes with relevant work experience with a top technology company in computer science or mathematics-related fields with 3-5 years of experience in machine learning and NLP Knowledge and practical experience in solving NLP problems in areas such as text classification, entity tagging, information retrieval, question-answering, natural language generation, clustering, etc 3+ years of experience working with LLMs in large-scale environments. Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs Knowledge and hands-on experience with Transformer-based Language Models like BERT, DeBERTa, Flan-T5, Mistral, Llama, etc Deep familiarity with internals of at least a few Machine Learning algorithms and concepts Experience with Deep Learning frameworks like Pytorch and common machine learning libraries like scikit-learn, numpy, pandas, NLTK, etc Experience with ML model deployments using REST API, Docker, Kubernetes, etc Knowledge of cloud platforms (AWS/Azure/GCP) and their machine learning services is desirable Knowledge of basic data structures and algorithms Knowledge of real-time streaming tools/architectures like Kafka, Pub/Sub is a plus Your role at Level AI includes but is not limited to Big picture: Understand customers’ needs, innovate and use cutting edge Deep Learning techniques to build data-driven solutions Work on NLP problems across areas such as text classification, entity extraction, summarization, generative AI, and others Collaborate with cross-functional teams to integrate/upgrade AI solutions into the company’s products and services Optimize existing deep learning models for performance, scalability, and efficiency Build, deploy, and own scalable production NLP pipelines Build post-deployment monitoring and continual learning capabilities. Propose suitable evaluation metrics and establish benchmarks Keep abreast with SOTA techniques in your area and exchange knowledge with colleagues Desire to learn, implement and work with latest emerging model architectures, training and inference techniques, data curation pipelines, etc To learn more visit : https://thelevel.ai/ Funding : https://www.crunchbase.com/organization/level-ai LinkedIn : https://www.linkedin.com/company/level-ai/ Show more Show less

We are looking for a highly skilled and motivated Data Scientist with deep experience in building recommendation systems to join our team. This role demands expertise in deep learning, embedding-based retrieval, and the Google Cloud Platform (GCP). You will play a critical role in developing intelligent systems that enhance user experiences through personalized content discovery. Key Responsibilities: Develop, train, and deploy recommendation models using two-tower, multi-tower, and cross-encoder architectures . Generate and utilize text/image embeddings (e.g., CLIP , BERT , Sentence Transformers ) for content-based recommendations. Design semantic similarity search pipelines using vector databases (FAISS, ScaNN, Qdrant, Matching Engine). Create and manage scalable ML pipelines using Vertex AI , Kubeflow Pipelines , and GKE . Handle large-scale data preparation and feature engineering using Dataproc (PySpark) and Dataflow . Implement cold-start strategies leveraging metadata and multimodal embeddings. Work on user modeling , temporal personalization , and re-ranking strategies . Run A/B tests and interpret results to measure real-world impact. Collaborate with cross-functional teams (Engineering, Product, DevOps) for model deployment and monitoring. Must-Have Skills: Strong command of Python and ML libraries: pandas, polars, numpy, scikit-learn, matplotlib, tensorflow, torch, transformers. Deep understanding of modern recommender systems and embedding-based retrieval . Experience with TensorFlow , Keras , or PyTorch for building deep learning models. Hands-on with semantic search , ANN search , and real-time vector matching . Proven experience with Vertex AI , Kubeflow on GKE , and ML pipeline orchestration. Familiarity with vector DBs such as Qdrant , FAISS , ScaNN , or Matching Engine on GCP. Experience in deploying models via Vertex AI Online Prediction , TF Serving , or Cloud Run . Knowledge of feature stores , embedding versioning , and MLOps practices (CI/CD, monitoring). Preferred / Good to Have: Experience with ranking models (e.g., XGBoost , LightGBM , DLRM ) for candidate scoring. Exposure to LLM-powered personalization or hybrid retrieval systems. Familiarity with streaming pipelines using Pub/Sub , Dataflow , Cloud Functions . Hands-on with multi-modal retrieval (text + image + tabular data). Strong grasp of cold-start problem solving , using enriched metadata and embeddings. GCP Stack You’ll Work With: ML & Pipelines: Vertex AI, Vertex Pipelines, Kubeflow on GKE Embedding & Retrieval: Matching Engine, Qdrant, FAISS, ScaNN, Milvus Processing: Dataproc (PySpark), Dataflow Ingestion & Serving: Pub/Sub, Cloud Functions, Cloud Run, TF Serving CI/CD & Automation: GitHub Actions, GitLab CI, Terraform Show more Show less

JOB DESCRIPTION : We are seeking a skilled and innovative AI Automation Specialist to lead and implement intelligent automation solutions across our organization. The ideal candidate will have a strong background in AI, machine learning, and robotic process automation (RPA), and a passion for streamlining processes to increase efficiency, reduce costs, and improve accuracy KEY RESPONSIBILITIES Identify opportunities for automation using AI, ML, and RPA technologies across business functions. Design, develop, and deploy scalable automation solutions, integrating AI models where appropriate. Collaborate with cross-functional teams (IT, operations, data science, etc.) to gather requirements and implement automation strategies. Evaluate existing workflows and optimize them through intelligent automation tools like UiPath, Automation Anywhere, Blue Prism, or custom Python/R-based scripts. Build and train machine learning models to support decision automation. Monitor and maintain automation solutions to ensure stability and performance. Document processes, code, and workflows to ensure maintainability and knowledge sharing. Stay up to date on AI and automation trends, tools, and best practices. REQUIRED QUALIFICATIONS : Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. Proven experience in implementing RPA or AI-driven automation solutions. Proficiency in programming languages such as Python, JavaScript, or Java. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of automation platforms (e.g., UiPath, Automation Anywhere, Power Automate). Strong problem-solving skills and the ability to think analytically. Excellent communication and project management skills. PREFERRED QUALIFICATION : Certification in RPA tools (e.g., UiPath Developer Advanced, Automation Anywhere Certified RPA Professional). Experience with cloud-based AI services (AWS, Azure AI, Google Cloud AI). Knowledge of process mining tools (e.g., Celonis, Minit). Familiarity with APIs, webhooks, and microservices architectures. FOR IMMEDIATE RESPONSE PLEASE SEND YOUR UPDATED CV TO : arun@qapsoftware.com Show more Show less

About the Role: We are seeking a highly skilled and hands-on GenAI expert to join our team and help shape our AI strategy from the ground up. The ideal candidate will not only bring deep technical knowledge but also a product-first mindset and a passion for delivering value through responsible and efficient AI deployment. This is a high-impact role with the potential to lead and build a team around. Key Responsibilities: Develop and refine GenAI applications leveraging foundation models (LLMs, VLMs) for real-world use cases. Fine-tune foundation models using proprietary and domain-specific data to enhance model relevance and performance. Own the full AI lifecycle including experimentation, evaluation, production readiness, and value realization. Define and track key AI metrics; implement monitoring and feedback loops to measure model effectiveness post-deployment. Apply traditional ML techniques (clustering, classification, vector search) as complementary strategies where appropriate. Build and deploy AI agent frameworks that can autonomously interact with tools, data stores, and other models to solve tasks end-to-end. Collaborate cross-functionally to integrate GenAI systems into existing platforms, ensuring scalability, efficiency, and business alignment. Ask the right questions to iterate, refine, and evolve AI solutions. Qualifications: Proven experience building GenAI-powered applications using LLMs, VLMs, and custom pipelines. Strong knowledge of model fine-tuning techniques and prompt engineering using proprietary data. Practical understanding of AI productization, lifecycle, metrics, and monitoring strategies. Hands-on experience with AI agent frameworks and related orchestration tools. Ability to articulate technical solutions, integration patterns, and tradeoffs effectively. Experience with Python, ML libraries (e.g., Hugging Face, LangChain, PyTorch, TensorFlow), and deployment in cloud environments (AWS, Azure, GCP). Preferred: Experience in a startup or innovation lab environment. Familiarity with vector databases (e.g., Pinecone, FAISS) and retrieval-augmented generation (RAG). Exposure to ethical AI, model interpretability, and responsible deployment practices. Show more Show less

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Summary We are looking for a highly experienced Senior Technical Architect – Gen AI/ML who will play a key role in shaping and driving the architecture and technology strategy for Generative AI and Machine Learning based applications. This is a hands-on leadership role requiring deep technical expertise in AI/ML, strong knowledge of cloud platforms (preferably Microsoft Azure), and the ability to design scalable, secure, and high-performance systems. The ideal candidate is a solution visionary and technical leader who can partner with cross-functional teams to define, design, and deliver cutting-edge AI-driven solutions. Key Responsibilities Solution Architecture & Design Architect end-to-end AI/ML and Gen AI solutions tailored to business needs across multiple domains. Define system architecture, technology stack, and integration strategy for AI-enabled products and platforms. Establish architecture best practices, reusable components, and reference implementations. Hands-on Implementation Lead from the front with prototyping, POCs, and reference models using tools like Azure OpenAI, Hugging Face, LangChain, MLflow, PyTorch, TensorFlow, etc. Drive integration of AI/LLM solutions (RAG, multi-agent systems, embeddings, etc.) into enterprise applications. Evaluate and optimize model performance using advanced metrics and testing. Ensure performance tuning, security, scalability, and reliability of AI solutions. Cloud & MLOps Leverage Azure cloud services such as Azure Machine Learning, Azure OpenAI, Cognitive Services, Azure Kubernetes Service, etc. Design and implement CI/CD pipelines, model versioning, deployment, monitoring, and governance frameworks using MLOps best practices. Technical Skills Strong expertise in Generative AI, LLMs, and ML/DL models. GenAI & LLMs: RAG, LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, Autogen, TaskWeave RAG Evaluation with experience in RAGA frameworks, DeepEval Hands-on with Azure AI stack – Azure OpenAI, Azure ML, Cognitive Services, Synapse, AKS, with familiarity in AWS/GCP as a plus Proficient in Python, C#, Microservices, PyTorch, TensorFlow, LangChain, Vector DBs (Pinecone, LanceDB, FAISS, etc.) Solid understanding of model fine-tuning, prompt engineering, RLHF, and embedding techniques. Deep experience in designing and deploying ML/AI pipelines using Azure, MLOps, Docker, Kubernetes, and API Gateways. Goos understanding of LLM-powered agents, toolchains (e.g., LangChain Agents, Semantic Kernel), and how to embed reasoning and memory into AI-driven solutions. Experience designing and implementing MCP-based orchestration layers to modularize and scale interactions with LLMs and Gen AI components. Experience 10+ years in software architecture and enterprise application development. 3+ years of experience leading Gen AI / ML solutions in production environments. Experience with enterprise-grade solutioning, technical due diligence, and stakeholder management. Proven record of working on Brownfield project. Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC And Its Subsidiaries And Its Affiliates (collectively, “Orion,” “we” Or “us”) Are Committed To Protecting Your Privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) Explains What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy. Show more Show less

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 17th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds. Show more Show less