5430 Inference Jobs - Page 21

NVIDIA is seeking a dynamic and experienced Generative AI Solution Architect with specialized expertise in training Large Language Models (LLMs) and implementing workflows based on Retrieval-Augmented Generation (RAG). As a key member of our AI Solutions team, you will play a pivotal role in architecting and delivering cutting-edge solutions that leverage the power of NVIDIA's generative AI technologies. This position requires a deep understanding of language models, particularly LLMs, and a strong proficiency in designing and implementing RAG-based workflows. What You Will Be Doing Architect end-to-end generative AI solutions with a focus on LLMs and RAG workflows. Collaborate closely with ...

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is...

Role & Responsibilities We are hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications. Responsibilities Own the full ML lifecycle: model design, training, evaluation, deployment Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection Fine-tune LLMs and imp...

Role & Responsibilities We are hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications. Responsibilities Own the full ML lifecycle: model design, training, evaluation, deployment Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection Fine-tune LLMs and imp...

Role & Responsibilities We are hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications. Responsibilities Own the full ML lifecycle: model design, training, evaluation, deployment Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection Fine-tune LLMs and imp...

Good Python skills and working knowledge of PyTorch or TensorFlow Familiarity with image processing libraries (e.g., OpenCV, PIL) and dataset tools (e.g., COCO format, YOLO datasets) Eagerness to learn, take feedback, and contribute in collaborative development environments Exposure to object detection/tracking projects (academic, hackathons, or prior work) Assist in building and testing CV models for detection, tracking, classification tasks and latest foundation and VLM models. Prepare and annotate image/video datasets, support data ingestion and cleaning pipelines Contribute to writing and debugging training scripts, model loaders, and preprocessing functions Run evaluation jobs and gener...

We are looking for a Machine Learning Engineer to design, build, and deploy scalable predictive models and ML pipelines. The ideal candidate should have hands-on experience with classical ML algorithms, end-to-end model development, and strong Python programming skills. Responsibilities Develop and optimise predictive ML models using classical algorithms such as XGBoost, Gradient Boosting, Random Forest, and LightGBM. Build and maintain end-to-end ML pipelines from data preprocessing, feature engineering, and model training to validation and deployment. Apply probabilistic modelling and forecasting techniques (e. g., MCMC, Bayesian models) where relevant. Write efficient, reusable, and well-...

Role & Responsibilities We are hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications. Responsibilities Own the full ML lifecycle: model design, training, evaluation, deployment Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection Fine-tune LLMs and imp...

About Futuristic Underwriters Pvt. Ltd. We are a business transformation center dedicated to achieving efficient underwriting operations, utilizing AI/GENAI capabilities, and further advancing its digital transformation and innovation. We will advance Futuristic Group’s global strategy through pioneering work in streamlined underwriting processes, AI, telematics, and analytics, providing critical business support functions across underwriting and claims. Our focus is to set up a hub for incubation—developing next-generation insurance and technology solutions that will shape the future. Job Description: Engineer/ Sr Engineer/ Lead Engineer / Principal Engineer - SMART Solutions & AI Delivery ...

We are seeking an AI Engineer with 1.5–2 years of hands-on experience in developing and deploying AI-driven solutions. The ideal candidate should have a strong foundation in Generative AI, Large Language Models (LLMs/MLLMs), Computer Vision, and fine-tuning techniques. You will be responsible for building, optimizing, and integrating AI models into real-world applications using Python and popular deep learning frameworks. Experience with API-based AI integration, data preprocessing, and model deployment pipelines is essential. A deep understanding of prompt engineering, transfer learning, and end-to-end model lifecycle management will be highly valued. Key Responsibilities: Develop, fine-tun...

We work on Apple scale opportunities and challenges. We are engineers at heart. We like solving technical problems. We believe a good engineer has the curiosity to dig into inner workings of technology and is always experimenting, reading and in constant learning mode. If you are a software engineer with passion to code and dig deeper into any technology, love knowing the internals, fascinated by distributed systems architecture, we want to hear from you. Description We are seeking a highly skilled LLM Ops and ML Ops Engineer to lead the deployment, scaling, monitoring, and optimization of large language models (LLMs) across diverse environments. This role is critical to ensuring our machine...

JOB DESCRIPTION If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place. As Director of Software Engineering at JPMorgan Chase within Connected Commerce, you will provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable manner. You will leverage your advanced technical capabilities and collaborate with colleagues across the organization to promote best-in-class outcomes across various technologies, supporting one or more of the firm’s portfolios. Job responsibilities Build AI e...

Experience: 5+ Years (Experience in Data Science) Title: Data Scientist - Adtech (THIS ROLE IS INDIVIDUAL CONTRIBUTER ROLE) Working hours: Flexible Hours (Presence from 9 PM IST to 12 AM IST is a must) Masscomcorp is seeking an experienced ML Engineer with a strong background in User Acquisition (UA) for Mobile Gaming and AdTech. The ideal candidate will leverage data-driven insights to optimize user acquisition strategies, enhance campaign performance, and maximize return on investment (ROI). You should have hands-on experience in Python, SQL, and statistical modelling, along with a deep understanding of marketing analytics, attribution modelling, and programmatic advertising. Here’s a quic...

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description The engineering organization is a dynamic group of builders, thinker...

DESCRIPTION Sales, Marketing and Global Services (SMGS) AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Do you like startups? Are you interested in Cloud Computing & Generative AI? Yes? We have a role you might find interesting. Startups are the large enterprises of the future. These young companies are founded by ambitious people who have a desire to build something meaningful and to challenge the status quo. To address underserved customers, or to challenge incumbents. They usually operate in an environment of s...

Your First Job? Tell Us We’re Doing It Wrong. Location: Onsite // Kerala Experience: MERN Stack // Min. 3 Year About Us Helixo is a bootstrapped, profitable company on a mission to create next-gen Shopify apps for next-gen ecommerce brands. We’re building the Apple of Shopify - an ecosystem of 15 AI-first apps so seamless and loved, they become the operating system for ecommerce. Brands like Decathlon, Nykaa, and Bellavita have already generated over $120 million in extra revenue through our products. But that’s not enough. Our eyes are on the $1 billion impact mark in next 3 years (₹1,00,00,00,000 - yes, those zeros are real!). And we’re rebuilding our flagship app to get there. Mission: MU...

Job Description – AI/ML Developer — Generative AI (SLMs + LLMs) Location: Sun Shree Woods Commercial Premises, NIBM Post Office Rd, Kondhwa, Pune, Maharashtra 411048 Employment Type: Full-time Build for India. Ship to the world. If you’re the kind of builder who trains at night, ships by morning, and lives to see real users light up—come write the next chapter with us. We’re pushing the edge of generative AI, from Small Language Models that run affordably at the edge to Large Language Models serving India-first and global use-cases across education, enterprise, and beyond. What you’ll do Train, fine-tune, and evaluate SLMs/LLMs (LoRA/QLoRA, PEFT, distillation, quantization). Build robust dat...

Job Title Senior Computer Vision / AI Engineer Location Vadodara, GJ Experience 5+ years of relevant experience Role Summary We are seeking a highly experienced engineer to lead the design, development and deployment of advanced computer-vision and AI systems. The role will require hands‐on algorithm work, productionising models, mentoring teams, and collaborating closely with cross-functional stakeholders. Key Responsibilities Lead the end‐to‐end computer vision pipeline: data collection & annotation → model design/training → deployment (edge or cloud) → monitoring & maintenance. Develop and optimise deep learning and classical computer vision algorithms for tasks such as object detection, ...

We’re seeking a passionate AI Engineer to join our team and help build, train, and deploy intelligent systems that solve real-world problems. You’ll work on developing scalable machine learning and deep learning solutions, integrating them into production systems, and optimizing model performance for speed and accuracy. Key Responsibilities Design, develop, and deploy machine learning and deep learning models for production use cases. Fine-tune LLMs , NLP , computer vision , or predictive analytics models based on business needs. Collaborate with data engineers to prepare and preprocess large datasets. Implement model serving pipelines using tools like TensorFlow Serving , TorchServe , FastA...

Job Description Global Data Insight & Analytics organization is looking for a Principal Software Engineer focused on building and driving the strategy forward for our internal Data Science / AI/ML products and platform. This role will work in a small, cross-functional team. The position will collaborate directly and continuously with other engineers, business partners, product managers and designers, and will release early and often. The team you will be working on is focused on building Mach1ML platform – an AI/ML enablement platform to democratize Machine Learning across Ford enterprise. Responsibilities Engineer for Scale: Design and build the end-to-end of our core Generative AI and ML p...

Responsibilities Responsibilities : Design NLP/LLM/GenAI applications / products by following robust coding practices, Explore SoTA models/techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions, Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,) Converge multibots into super apps using LLMs with multimodalities Develop agentic workflow using Autogen, Agentbuilder, langgraph Build modular AI/ML pro...

Job Description Roles &Responsibilities: Design, build, and maintain data pipelines and ETL/ELT workflows for structured and unstructured data sources. Develop, train, validate, and deploy machine learning and AI models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Collaborate with data engineers, business analysts, and product managers to translate analytical requirements into production-grade models and APIs. Optimize data processing performance and model inference pipelines for scalability and cost-efficiency (preferably on cloud platforms such as AWS, Azure, or GCP). Work with data visualization and BI teams to enable analytics dashboards that surface insights from AI mo...

Tech Stack Modeling & ML Frameworks:Python, scikit-learn, PyTorch, TensorFlow — spanning classical ML, deep learning, and transformer-based architectures. Includes modern ensemble methods (XGBoost, LightGBM) for large-scale structured modeling. Applied Domains: Ranking, Recommendation, Dynamic Pricing, Forecasting, Supply–Demand Optimization, Semantic Search, NLP/NLU, Generative Content Systems Data & Compute: Databricks, PySpark, AWS (S3, Glue, EMR, Athena), ScyllaDB, MongoDB, Redis Experimentation & Optimization: MLflow, Airflow, SageMaker, Bayesian Optimization, Bandit/Sequential Experimentation LLMs & GenAI: Claude, OpenAI GPT-4, SLMs, LangChain, Cursor IDE, RAG Pipelines, Embedding Mode...

Experience 3–7 years total experience. Minimum 2+ years of hands-on experience with computer vision/video processing pipelines in Python . Required Technical Skills (Must-Have) Programming: Python 3.x, NumPy, OpenCV, PyTorch (training/finetuning/inference optimization). Computer Vision: Object detection, segmentation, tracking (e.g., YOLO family, ByteTrack/OC-SORT, DeepSORT, Re-ID). Video Streaming: RTSP, FFmpeg, GStreamer (buffering & backpressure handling). Backend & Tools: FastAPI (REST), PostgreSQL basics, Redis, Docker & Docker Compose, Git, Linux. Deployment & Optimization: ONNX/TensorRT export, CUDA utilization on NVIDIA GPUs. Evaluation: mAP, IDF1, MOT metrics; dataset versioning and...

Job Description Roles &Responsibilities: Design, build, and maintain data pipelines and ETL/ELT workflows for structured and unstructured data sources. Develop, train, validate, and deploy machine learning and AI models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Collaborate with data engineers, business analysts, and product managers to translate analytical requirements into production-grade models and APIs. Optimize data processing performance and model inference pipelines for scalability and cost-efficiency (preferably on cloud platforms such as AWS, Azure, or GCP). Work with data visualization and BI teams to enable analytics dashboards that surface insights from AI mo...