16975 Pytorch Jobs

Department: Digital Location: Gurgaon Work Mode: On-site About the Role: We are looking for a passionate Data Scientist to join our team and drive data-driven insights that improve our products and services. You will analyze complex datasets, build predictive models, and develop algorithms to solve challenging business problems. You will work closely with Platform team, engineers, and other stakeholders to translate data insights into actionable strategies. Responsibilities: • Analyze large datasets to identify trends, patterns, and insights. • Develop and implement machine learning models for prediction, classification, and optimization. • Design and execute experiments to test hypotheses a...

Bigfix Gadget Care is looking for AI Developer to join our dynamic team and embark on a rewarding career journey Job Summary: The AI Developer will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) models and algorithms to solve complex business problems They will work closely with cross-functional teams to understand business requirements, identify opportunities for AI and ML solutions, and develop prototypes and production-ready models Key Responsibilities: Design, develop, and implement AI and ML models and algorithms to solve complex business problems Develop and implement prototypes and production-ready models using program...

Job Overview: We are looking for a highly skilled AI & Agentic Developer to design, build, and deploy intelligent autonomous systems. This role involves developing AI-powered agents that can perceive, reason, and act independently, leveraging LLMs, reinforcement learning, and multi-agent systems. You will work on cutting-edge AI frameworks like LangChain, AutoGen, CrewAI, and MLOps pipelines for scalable deployment. Key Responsibilities: AI & Machine Learning Development: Develop, train, and fine-tune machine learning (ML) and deep learning (DL) models. Implement LLMs, NLP, reinforcement learning (RL), and computer vision (CV) models. Optimize retrieval-augmented generation (RAG) systems wit...

We are looking for a motivated AI Engineer with solid AWS engineering experience, ideally with exposure to Amazon SageMaker, and a strong comfort level working with data. This role involves developing LLM-based solutions and integrating them into scalable cloud environments. The ideal candidate will be curious, proactive, and capable of creative problem-solving in a collaborative setting. Responsibilities: Design and implement AI/ML solutions using AWS services such as SageMaker, Bedrock, Lambda, and S3. Build and optimize LLM-based applications, including Prompt engineering, Retrieval-Augmented Generation (RAG), Embeddings, OCR pipelines. Develop and maintain Python-based APIs and workflows...

We are looking for a highly skilled AI Implementation Engineer with a focus on Python to join our team at Techjays. The ideal candidate will have 4 to 9 years of experience in the field. Roles and Responsibility Design, develop, and implement AI models using Python. Collaborate with cross-functional teams to identify business problems and develop solutions. Develop and maintain large-scale data pipelines and architectures. Work closely with data scientists to integrate AI models into existing systems. Troubleshoot and optimize AI model performance issues. Stay up-to-date with industry trends and advancements in AI. Job Requirements Strong proficiency in Python programming language. Experienc...

Experience: Minimum 3 5 years in AI/ML development (production-level). Education: Bachelor s/Master s in Computer Science, AI, Data Science, or related field . Skills: Python, PyTorch/TensorFlow, Hugging Face, LangChain, embeddings, vector DBs, API integration. Deployment: Docker, Kubernetes, Linux server setup, GPU configuration, cloud platforms (AWS/GCP/Azure). MLOps: MLflow, Weights Biases (WB). Certifications (Optional): TensorFlow Developer, AWS/GCP AI Engineer, or similar. Nice to Have: Multi-modal AI, RLHF, edge AI, open-source contributions.

Strategic AI GenAI Leadership Define and drive enterprise AI/ML roadmaps, including adoption of LLMs, multi-agent systems, and AI copilots aligned to business priorities. Agentic AI Automation Architect and depl oy agentic workflows for decisi oning, customer engagement, fraud detection, and operational intelligence. Advanced Modeling GenAI Expertise Lead development of scalable ML and GenAI s olutions acr o ss fraud detection, customer intelligence, risk modeling, hyper-personalization, and intelligent document processing. Productization at Scale Translate AI/ GenAI research into robust, production-grade systems , ensuring security, compliance, and business value. Responsible AI Governance ...

AI-Driven IT Infrastructure Optimization: Develop predictive analytics models to monitor and enhance IT system performance. Implement anomaly detection algorithms for security, fault detection, and intrusion prevention. Use AI to automate IT operations, including incident response, log analysis, and system diagnostics. Machine Learning Model Development Deployment: Design and train AI/ML models for IT infrastructure automation, cloud resource optimization, and workload balancing. Implement LLMs and NLP to enhance IT ticketing systems and self-healing .Deploy AI models into cloud-based and on-prem IT environments using MLOps best practices. Data Science Engineering: Collect, pre-process, and ...

Develop and deploy autonomous AI agents that operate, learn, and adapt in real-world environments. Optimize TensorFlow-based models for real-time inference and low-latency decision-making. Enhance agent decision-making abilities through RL, planning, and heuristic algorithms. Design and implement multi-agent architectures using frameworks like LangChain, AutoGPT, CrewAI, or similar. Integrate AI agents with APIs, databases, and messaging systems (Kafka, RabbitMQ, MQTT). Monitor and optimize agent performance using observability tools like OpenTelemetry, ELK stack, or Prometheus. Ensure AI safety, security, and ethical considerations in agent behavior. Collaborate with AI researchers, ML engi...

Take the helm of AI engineering projects, focusing on designing, developing, and deploying solutions that revolve around computer vision, content generation, and fine-tuning large language models such as open source LLM. Make the most of state-of-the-art open-source frameworks like Hugging Face Transformers to sift through unstructured data and extract valuable insights. Should be hands-on with latest in Agentic AI design patterns and comfortable with designing and implementing SFT and RLHF for fine tuning domain specific SLM. Lead the complete lifecycle of AI engineering projects, from data acquisition and preprocessing to model development and assessment, all the way through to deployment ...

Diverse Lynx is looking for AI/ML Engineer to join our dynamic team and embark on a rewarding career journey Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing existing produ...

As a Generative AI Specialist, you will work in teams providing smart solution and addressing problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern generative AI models, techniques and operational research to leverage the power of data to solve complex problems and push the boundaries of what is possible in the ever-evolving tech landscape. As a Lead Generative AI Specialist, you will be responsible for: Designing and developing of generative AI models, including but not limited to LLMs, VLMs, GANs and Multimodal LLMs. Conducting and driving forward innovative research in the field of generat...

Design, develop, and deploy AI and machine learning solutions tailored to retail challenges such as personalized product recommendations, dynamic pricing, and demand forecasting Collaborate with data scientists, product managers, engineers, and retail analysts to develop AIdriven features that improve customer experience and operational efficiency Build and manage data pipelines that support largescale training and inference workloads using structured and semistructured retail data Develop and optimize deep learning models using TensorFlow or PyTorch for applications like visual product search, customer segmentation, and chatbot automation Integrate AI models into customerfacing platforms (e...

Citrix Observability with Splunk ITSI: Expertise in utilizing Citrix observability data with Splunk IT Service Intelligence for comprehensive monitoring and analytics of Citrix environments. VDI and VM Observability: Proficient in monitoring Virtual Desktop Infrastructure (VDI) and Virtual Machines (VMs) for performance, reliability, and scalability. OpenTelemetry, Kafka, and Splunk/Grafana: Hands-on experience with OpenTelemetry for unified telemetry, Kafka for real-time data ingestion, and Splunk/Grafana for powerful data visualization and alerting. Data Science Machine Learning: Proficient in Python, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy for developing machine learning models f...

Responsible for conducting advanced research in AI and machine learning. This includes staying up to date with the latest advancements in the field, exploring emerging technologies, and identifying opportunities to apply cutting-edge techniques to solve complex business problems. Tasked with designing and architecting AI solutions for complex problems. This involves analyzing business requirements, understanding constraints, and proposing appropriate machine learning models and algorithms. Responsible for considering scalability, performance, and maintainability while designing the solution. Provides technical guidance and mentorship to junior team members. This includes sharing best practic...

Summary We are seeking a highly motivated and skilled researcher to join our team in the field of Artificial Intelligence, Machine Learning (AIML) as a Principal Scientist. As a Principal Scientist, you will have the opportunity to lead and shape the technical direction of our AIML research initiatives, mentor junior researchers, and drive the development of state-of-the-art prognostics, diagnostic, and modeling solutions. Roles and responsibilities Provide technical leadership and vision for the development of advanced algorithms and methodologies in artificial intelligence and machine learning (AIML) to drive process and product innovation. Develop and implement research strategies to iden...

A Developer will design, develop, train, and implement machine learning and deep learning models capable of processing large datasets and generating actionable insights. • Technical Expertise : Strong Programming skills in Python or Scala. Deep knowledge of AI technologies like machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn(e.g., APIs, microservices, event-driven IT,MLflow) . Extensive experience writing production-ready code, hands-on experience with different programming paradigms and (MLOps and DevSecOps) . Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git. Hands on Experinece : Hands-on ...

S&C Global Network - AI - Retail - Consultant - Data Scientist (Merchandising) We are looking for a skilled professional with 4 to 9 years of experience to join our team as a Consultant - Data Scientist (Merchandising experience) in the IT Services & Consulting industry. The ideal candidate will have a strong background in data science and merchandising, with excellent analytical and problem-solving skills. Roles and Responsibility Collaborate with cross-functional teams to design and implement AI-powered solutions for retail clients. Develop and maintain large-scale data models to analyze customer behavior and preferences. Design and implement predictive analytics models to drive business g...

Job Overview We are looking for a Senior Computer Vision Machine Learning Engineer to lead the development of real-time CV/ML systems, with an emphasis on deploying models on edge platforms like the NVIDIA IGX Orin. The ideal candidate will have experience in designing robust vision pipelines, training and optimizing deep learning models, and working closely with hardware platforms for deployment. Responsibilities Lead the design, development, and deployment of end-to-end computer vision and deep learning models Optimize and deploy CV/ML pipelines on edge platforms, particularly NVIDIA IGX (Orin preferred) Work with cross-functional teams to integrate models into real-time applications (e.g....

Key Responsibilities Lead the design and development of AI-driven applications with a focus on RAG-based chatbot solutions. Architect robust solutions leveraging Python and Java for scalability and reliability. Deploy, manage, and scale AI applications on AWS (EC2, Lambda, SageMaker, DynamoDB, API Gateway, CloudWatch). Collaborate with cross-functional teams to define requirements and deliver solutions. Mentor engineers on AI methodologies, cloud practices, and coding standards. Ensure solutions meet performance, security, and compliance requirements. Research and adopt emerging AI/ML technologies, frameworks, and best practices. #PrimarySkills (Mandatory) Strong programming in Python & Java...

Machine Learning - General Experience, Model Deployment and Monitoring. Practical experience with Generative AI frameworks. Delivering impactful solutions in NLP, machine vision, and AI. programming skills in Python, and proficiency in deep learning

#Job Description : Principal responsibilities Developers to build prod-ready models that will help with content extraction and classification from images and text-based sources. Should have worked on projects related to Intelligent document processing using open source models. Work with business and transformation teams to understand & formulate application specific design. Collaborative with product managers, technical teams. Create, test and iterate new and existing products and features. Design and Build Python/ML/OCR-based components. Completes applications development by coordinating requirements, schedules, and activities; contributing to team meetings; troubleshooting development and ...

Job Title: AI/ML Engineer Experience Level : 3-6 years Location : [Pune/Bangalore/Hybrid] Type : Full-Time Job Summary We are looking for a dynamic and innovative AI/ML Engineer with expertise in Generative AI and hands-on experience in GCP or other cloud platforms. The ideal candidate will have proven experience in developing, training, fine-tuning, and deploying advanced AI/ML models. You will play a pivotal role in building scalable, production-ready solutions involving large datasets , NLP techniques, and cutting-edge frameworks such as MCP, Retrieval-Augmented Generation (RAG), and REACT (Retrieve, Extract, Adapt, Construct, Think). This role requires a solid foundation in Python , SQL ...

About Team: Myntras Engineering team builds the technology platform that empowers our customers shopping experience and enables the smooth flow of products from suppliers to our customers doorsteps. We work on areas such as building massive-scale web-applications, engaging user-interfaces, big-data analytics, mobile apps, workflow systems, inventory-management etc. We are a small technology team where each individual has a huge impact. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. Myntra's cloud based big data platform is highly scalable and processes over 6 billion events per day. Over the...

Role & responsibilities Develop ML models for structured data analysis. Implement data preprocessing pipelines using Python (Pandas, NumPy). Optimize feature engineering for structured datasets. Work with SQL databases and data warehouses (Snowflake, BigQuery). Train and evaluate models using Scikit-learn, TensorFlow, or PyTorch. Deploy ML models using MLOps frameworks (MLflow, Kubeflow). Collaborate with data engineers and analysts to ensure data quality. Perform hyperparameter tuning and model optimization. Ensure data security, governance, and compliance Preferred candidate profile Python programming for ML and data manipulation. SQL proficiency for structured data querying. Experience wi...