17 Experiment Tracking Jobs

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job S...

As a Lead MLOps Engineer, you will: - Oversee the administration of Databricks clusters and workspaces. - Bring MLOps expertise to the table, namely within the scope of, but not limited to: - Model monitoring - Feature catalog - Experiment Tracking - CI/CD pipelines to gatekeep model lifecycle from development to production - Own and maintain MLOps solutions either by leveraging open-sourced solutions or with a 3rd party vendor - Build and maintain various executive dashboards that reflect metrics, model build, deploy, and run phases - Be a technical lead to a team of MLOps engineers All About You: - Bachelor's degree in computer science, software engineering, or a similar field. - Strong ex...

Job Description AI/ML Engineer (Generative AI & LLMs About the Role We are looking for a passionate AI/ML Engineer with strong expertise in Generative AI, LLM integration, and RAG-based applications . The ideal candidate will have hands-on experience in building, deploying, and optimizing AI-powered solutions such as chatbots, knowledge assistants, and semantic search systems. You will collaborate with cross-functional Agile teams to rapidly prototype, fine-tune, and productionize intelligent applications. Key Responsibilities Design, develop, and deploy Generative AI applications such as RAG pipelines, chatbots, and knowledge assistants . Integrate and fine-tune LLMs for domain-specific use...

Automate ML pipelines, deploy and monitor ML/LLM models, integrate code into customer pipelines, manage CI/CD workflows, containerize applications, set up data pipelines, collaborate with architects, and ensure smooth model deployment at scale. Required Candidate profile Strong MLOps background, hands-on with CI/CD, Docker, Kubernetes, Airflow, MLflow, and LLM tools. Skilled in ML deployment, monitoring, and pipeline automation with ability to coordinate

We are looking for an AI Engineer with hands-on experience designing and deploying scalable AI solutions. In this role, you will be part of a cross-functional team working on cutting-edge projects involving Retrieval-Augmented Generation (RAG), agentic frameworks, and end-to-end MLOps workflows. You'll take ownership of translating complex business problems into AI solutions from the ground upfrom initial problem analysis and architecture design through to production deployment and monitoring. You'll play a key role in developing AI applications using modern frameworks and libraries, while applying advanced prompt engineering techniques and ensuring robust monitoring and performance tracing....

vConstruct's Data Science & Analytics team is expanding its Generative AI capability. We're looking for an AI Developer who can design, build and ship production?ready solutions using large language models (LLMs), multimodal models and classic ML techniques (good to have). You'll join a collaborative group of AI Engineers, Data Scientists and Analysts transforming every stage of the construction lifecyclefrom pre?construction planning to post?handover operationsthrough automation and data?driven insights. What You'll Do Prototyping Frame GenAI use cases with experts; build quick LLM-based tools. Modeling Fine-tune/prompt models; use ML/DS when GenAI isn't ideal. Engineering Deploy models as ...

As a Senior Technical Architect specializing in Machine Learning Solutions, you will play a crucial role in leading the end-to-end architecture of advanced ML-driven platforms within our enterprise. Your expertise in Machine Learning (ML), Artificial Intelligence (AI), and scalable ML system design will be instrumental in delivering impactful, production-grade AI solutions across the organization. **Key Responsibilities:** - Lead the architecture and design of enterprise-grade ML platforms, encompassing data pipelines, model training pipelines, model inference services, and monitoring frameworks. - Architect and optimize ML lifecycle management systems (MLOps) to facilitate scalable, reprodu...

Role Overview: At PwC, your role in data and analytics will involve leveraging data to drive insights and make informed business decisions. You will utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. Specifically, in data analysis at PwC, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Your responsibilities will include leveraging skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. Key Responsibilities: - Develop and implement MLOps strategies tailored for Generative ...

We are seeking skilled Machine Learning Engineers to design, develop, and deploy advanced ML models focused on Agentic AI use cases, utilizing the AWS ecosystem. The role emphasizes end-to-end ML solutions, from data preprocessing and model development to deployment and ongoing monitoring, with a strong focus on scalability, performance, and cost-efficiency in production environments. Key Responsibilities: Design, develop, and deploy machine learning models tailored for Agentic AI applications in clinical and enterprise domains. Work extensively with the AWS AI/ML ecosystem, including SageMaker, Bedrock, Lambda, Step Functions, S3, DynamoDB, and Kinesis, to build scalable solutions. Perform ...

Aera Technology is the Decision Intelligence company. Our platform, Aera Decision Cloud, integrates with enterprise systems to digitize, augment, and automate decisions in real time. We deliver millions of AI-powered recommendations each year, generating significant value for some of the world's largest brands. We are seeking a Machine Learning Engineer (Support & Ops focus) to ensure our AI-powered decision systems run reliably at scale. This role is less about building models from scratch, and more about keeping production AI systems healthy, observable, and performant, while enabling Data Science teams to deliver faster. This position is also a strong career pathway into ML feature develo...

Research, backtest, and trade systematic strategies across asset classes. Build robust data pipelines, feature engineering, and ML models (tree ensembles, linear models, deep learning where justified). Use GenAI to accelerate research notes, code scaffolding, and experiment tracking; maintain strict risk limits and compliance. Strategy research with rigorous validation Backtesting with transaction costs/slippage Python (NumPy/Pandas) and ML (sklearn/torch) Risk management and monitoring GenAI for research acceleration and doc hygiene.

The recent innovations in the Gen AI space have set the basis for a change in the way you work and how you interact with technology. Gen AI offers an unprecedented ability to understand your requests and generate high-quality context in multiple modalities, including text, image, video, and music, among others. While the first wave of Gen AI innovations has had a special focus on the cloud, there is a strong impetus for offerings that live on the edge, where you can tightly control and secure personal data access, improve responsiveness, and reduce execution costs. In this context, the AI Lab, within the HPs Technology Innovation Office (TIO), is conducting applied research in Gen AI with a ...

As a Lead Data Scientist specializing in Natural Language Processing (NLP) and Computer Vision (OpenCV), you will play a crucial role in driving our AI initiatives. Your primary responsibilities will include designing, developing, and deploying cutting-edge NLP and computer vision models to address real-world challenges across various data domains such as text, image, and structured data. Your expertise will be instrumental in setting the technical direction, guiding junior team members, and enhancing our data science capabilities organization-wide. A key aspect of your role will involve hands-on leadership in research and development using advanced ML/DL techniques. You will lead by example...

As a Senior CV Engineer at our esteemed client, a Series-A funded deep-tech company in Gurugram specializing in AI Product industry, you will be responsible for leading the design and implementation of complex CV pipelines including object detection, instance segmentation, and industrial anomaly detection. Your role will involve owning major modules from concept to deployment to ensure low latency and high reliability of the system. You will be expected to transition algorithms from Python/PyTorch to optimized C++ edge GPU implementations using technologies like TensorRT, ONNX, and GStreamer. Collaboration with cross-functional teams to refine technical strategies and roadmaps will be a key ...

As a member of the AI Research team, you will drive the next wave of generative and multimodal intelligence to empower our autonomous drywall-finishing robots. Your main focus will involve turning cutting-edge vision-language and diffusion advances into robust, real-time systems that have the capability to see, reason, and act on dynamic construction sites. Your responsibilities will include researching and innovating diffusion-based generative models for photorealistic wall-surface simulation, defect synthesis, and domain adaptation. You will be tasked with architecting and training Vision-Language Models (VLMs) and Vision-Language Alignment (VLA) objectives that establish connections betwe...

You will be joining our team as a skilled Deep Learning Engineer with expertise in object detection and segmentation models. Your primary responsibilities will include implementing and refining object detection models such as YOLOvX, Faster R-CNN, EfficientDet, SSD, and Mask R-CNN. Additionally, you will work on real-time computer vision applications, optimize performance, annotate and prepare datasets, and collaborate on research and development projects to enhance model performance and robustness. As a Deep Learning Engineer, you will be expected to deploy models using Docker on Linux/Windows systems, with experience in edge deployment considered a plus. It will be essential for you to doc...

At PwC, our data and analytics team focuses on utilizing data to drive insights and support informed business decisions. We leverage advanced analytics techniques to assist clients in optimizing their operations and achieving strategic goals. As a data analysis professional at PwC, your role will involve utilizing advanced analytical methods to extract insights from large datasets, enabling data-driven decision-making. Your expertise in data manipulation, visualization, and statistical modeling will be pivotal in helping clients solve complex business challenges. PwC US - Acceleration Center is currently seeking a highly skilled MLOps/LLMOps Engineer to play a critical role in deploying, sca...