33 Seldon Jobs

In this role as an experienced professional with 15 to 23 years of expertise in Vision AI Solution, Nvidia, Computer Vision, Media, and Open Stack, you will be instrumental in defining and leading the technical architecture for vision-based AI systems across edge and cloud environments. Your responsibilities will involve designing and optimizing large-scale video analytics pipelines, architecting distributed AI systems, collaborating with cross-functional teams to develop scalable AI solutions, leading efforts in model optimization, integrating multi-modal AI, guiding platform choices, mentoring senior engineers, staying updated with emerging technologies, and contributing to internal innova...

Role Overview: You will be a crucial member of the team, playing a pivotal role in various machine learning initiatives at the company. Your tasks will involve operational and engineering aspects, including building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes. Additionally, you will work on fine-tuning generative AI models, designing agentic language chains, and prototyping recommender system experiments. Key Responsibilities: - Proficiency in software engineering design practices. - Experience working with transformer models and text embeddings. - Proven track record of deploying and managing ML models in production...

As a ML/Dev Ops Engineer at DHI Consultancy, you will be responsible for the following: - Experience: You should have 5 to 10 years of experience in ML Engineering, MLOps, or DevOps roles with a focus on machine learning systems. - Immediate Joiner: You must be able to start immediately or within a very short notice period. - MLOps Tools: Expert-level proficiency with mlFlow, Seldon, and Kubeflow is required. - Data & Feature Engineering: Strong practical experience with Databricks and Tecton (or similar feature stores) is essential. - Cloud & Infrastructure: Deep knowledge of AWS services for computing, storage, networking, and security is necessary. - CI/CD & Automation: Proven ability to ...

As a Machine Learning Engineer at Tecblic, you will be an integral part of a forward-thinking team that specializes in delivering AI-driven solutions to empower businesses in the digital age. Your passion for LLMs, Computer Vision, MLOps, and Agentic AI will drive you to excel in the following responsibilities: - **Research and Development:** Design, develop, and fine-tune machine learning models across LLM, computer vision, and Agentic AI use cases. - **Model Optimization:** Fine-tune and optimize pre-trained models to ensure performance, scalability, and minimal latency. - **Computer Vision:** Build and deploy vision models for object detection, classification, OCR, and segmentation. - **I...

As a DataOps Engineer, you will be responsible for designing and maintaining scalable ML model deployment infrastructure using Kubernetes and Docker. Your role will involve: - Implementing CI/CD pipelines for ML workflows - Ensuring security best practices are followed - Setting up monitoring tools to track system health, model performance, and data pipeline issues To excel in this role, you should have: - Strong experience with Kubernetes and Docker for containerization and orchestration - Hands-on experience in ML model deployment in production environments - Proficiency with orchestration tools like Airflow or Luigi - Familiarity with monitoring tools such as Prometheus, Grafana, or ELK S...

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking- Data Technology, you play a crucial role in an agile team dedicated to enhancing, building, and delivering cutting-edge technology products securely, stably, and at scale. Your responsibilities include: - Executing creative software solutions, designing, developing, and troubleshooting technically with innovative approaches to problem-solving - Developing secure, high-quality production code, reviewing, and debugging code by peers - Identifying and automating solutions for recurring issues to enhance operational stability - Leading evaluation sessions with external vendors and internal teams to assess arch...

As a Senior ML Engineer (MLOps) at Datadivr, your role will involve taming data by pulling, cleaning, and shaping structured & unstructured data. You will orchestrate pipelines using tools like Airflow, Step Functions, or ADF. Your responsibility will include shipping models by building, tuning, and deploying to production on platforms such as SageMaker, Azure ML, or Vertex AI. To handle heavy lifting, you will scale using Spark or Databricks. Automation is key, where you will be expected to automate processes using tools like Docker, Kubernetes, CI/CD, MLFlow, Seldon, and Kubeflow. Collaboration is essential as you pair up with engineers, architects, and business stakeholders to solve real ...

Role Summary The Director of AI Platform & MLOps is a critical, hands-on technology leader responsible for the architecture, execution, and day-to-day management of the infrastructure powering our AI Training Data Services. You will lead a world-class team of engineers to build, scale, and operate a robust, secure, and highly automated platform. This role requires a deep technical background in cloud infrastructure, MLOps, and large-scale systems, combined with proven experience in leading high-performing engineering teams. Responsibilities Technical Execution & Architecture: Translate the long-term vision into an executable technical roadmap, making key architectural decisions for the platf...

Role Overview: As a Senior Manager of Software Engineering at JPMorgan Chase within the Consumer and Community Banking- Data Technology, you will play a crucial role in providing technical coaching and leadership to multiple technical teams. Your expertise will not only influence budget and technical considerations but also advance operational efficiencies and functionalities within the firm. Key Responsibilities: - Provide direction, oversight, and coaching to a team of entry-level to mid-level software engineers working on basic to moderately complex tasks. - Be accountable for decisions impacting team resources, budget, tactical operations, and the execution of processes. - Ensure success...

As a Senior Manager of Software Engineering at JPMorgan Chase within the Consumer and community banking- Data technology, you play a crucial role in mentoring and advising multiple technical teams to drive financial technologies forward. Your leadership is key in providing technical coaching and guidance to various teams, while also anticipating the needs and dependencies of other functions within the firm. Your expertise influences budgeting and technical decisions to enhance operational efficiencies and functionalities. **Key Responsibilities:** - Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers handling basic to moderately comple...

Role Overview: As a Senior Technical Architect specializing in Data Science & Agentic AI, you will play a crucial role in leading the end-to-end modeling lifecycle. Your main responsibilities will include problem framing, experiment design, production deployment, and monitoring. You will be tasked with setting up the technical architecture for ML/GenAI and agentic systems. While collaborating with DE/Platform teams, your primary focus will be on modeling excellence, MLOps, and AI solution architecture to impact business KPIs positively. Key Responsibilities: - Own the technical vision for data-science initiatives and translate ambiguous business goals into modellable problems, KPIs, and NFRs...

AI/ML ,NLP with leadership, handling production support in live environments. Design, develop,deploy AI/ML and NLP-based solutions tailored for enterprise use cases.MLOps pipelines using MLflow, Seldon,Docker for scalable model deployment.

About Saarthee Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. Our diverse and global team work with one objective in mind : Our Customers Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. Thats why we call ourselves Saartheeinspired by the Sanskrit word Saarthi, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India. Positio...

Job Description: As an experienced professional with 15 to 23 years of expertise in Vision AI Solution, Nvidia, Computer Vision, Media, and Open Stack, you will play a crucial role in defining and leading the technical architecture for vision-based AI systems across edge and cloud environments. Your responsibilities will include designing and optimizing large-scale video analytics pipelines, architecting distributed AI systems, collaborating with cross-functional teams to develop scalable AI solutions, leading efforts in model optimization, integrating multi-modal AI, guiding platform choices, mentoring senior engineers, staying updated with emerging technologies, and contributing to interna...

You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you. As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking- Data Technology, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining th...

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking- Data Technology, you have the opportunity to impact your career and engage in an adventure where you can push the limits of what's possible. You are an integral part of an agile team that works towards enhancing, building, and delivering trusted market-leading technology products in a secure, stable, and scalable manner. Your role as a core technical contributor involves conducting critical technology solutions across multiple technical areas within various business functions to support the firm's business objectives. - Executes creative software solutions, design, development, and technical troubleshootin...

As a Machine Learning Engineer at Tecblic, you will be part of a forward-thinking team that specializes in delivering AI-driven solutions to empower businesses in the digital age. Your primary responsibilities will include: - Research and Development: Design, develop, and fine-tune machine learning models across LLM, computer vision, and Agentic AI use cases. - Model Optimization: Fine-tune and optimize pre-trained models for improved performance, scalability, and minimal latency. - Computer Vision: Build and deploy vision models for tasks such as object detection, classification, OCR, and segmentation. - Integration: Collaborate closely with software and product teams to integrate models in...

As a ML/Dev Ops Engineer at DHI Consultancy, you will be responsible for: - Having 5 to 10 years of experience in ML Engineering, MLOps, or DevOps roles with a focus on machine learning systems. - Being an immediate joiner, able to start immediately or within a very short notice period. - Demonstrating expert-level proficiency with mlFlow, Seldon, and Kubeflow MLOps tools. - Possessing strong practical experience with Databricks and Tecton (or similar feature stores) for Data & Feature Engineering. - Having deep knowledge of AWS services for computing, storage, networking, and security for Cloud & Infrastructure. - Showing proven ability to build and manage automated pipelines using Jenkins ...

Job Title: RunOps Support MLOps Job Type: Full-Time Location: Hybrid Hyderabad, Pune, New Delhi About Us At micro1 we're building the world's first AI recruitment engine to match the world's most talented people with their dream jobs. As a core team member, you'll be at the forefront of AI innovation, contributing to our company's expansion while collaborating with Silicon Valley's fastest-growing companies. You'll thrive in a supportive, fast-paced, and innovative environment, tackling exciting challenges while unlocking unparalleled career growth and development. Job Summary: We are seeking a proactive and skilled RunOps Support Engineer specializing in ML Ops for remote work. In this role...

• Strong experience in Python, Pandas, Flask or Fast API • Experience in Bigdata technologies such as BigQuery, SQL • Experience in deploying ML Models in production using Seldon, Triton, Jenkin CI/CD • Exp in Java is nice to have

As a DataOps Engineer, your primary responsibility will be designing and maintaining scalable ML model deployment infrastructure using Kubernetes and Docker. You will need to implement CI/CD pipelines for ML workflows, ensure adherence to security best practices, and set up monitoring tools for tracking system health, model performance, and data pipeline issues. Collaboration with cross-functional teams to optimize the end-to-end lifecycle of data products and identify performance bottlenecks and data reliability issues in the ML infrastructure will also be part of your role. Key Responsibilities: - Design and maintain scalable ML model deployment infrastructure using Kubernetes and Docker -...

Mandatory Skills : Databricks, mlFlow, Seldon, AWS, Kubeflow, Tecton, Jenkins Skill to Evaluate : Databricks,-mlFlow,-Seldon,-AWS,-Kubeflow,-Tecton,-Jenkins,-Graffana-,-Python-, Location : Bengaluru Job Description Focus on ML model load testing and creation of E2E test cases Evaluate models scalability and latency by running suites of metrics under different RPS and creating and automating the test cases for individual models, ensuring a smooth rollout of the models Enhance monitoring of model scalability, and handle incident of increased error rate Collaborate with existing machine learning engineers, backend engineers and QA test engineers from cross-functional teams Advanced degree (Mast...

As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking - Data Technology, you will play a crucial role in designing and delivering innovative technology products in a secure and scalable manner. Your primary responsibility will be leading the design and development of the AI/ML platform, ensuring its robustness, scalability, and high performance. You will also be instrumental in driving the adoption of best practices in software engineering, machine learning operations (MLOps), and data governance. Compliance with data privacy and security regulations pertaining to AI/ML solutions is a key aspect of this role. Moreover, you will be expected to maintain consist...

Job Description: Focus on ML model load testing and creation of E2E test cases Evaluate models' scalability and latency by running suites of metrics under different RPS and creating and automating the test cases for individual models, ensuring a smooth rollout of the models Enhance monitoring of model scalability, and handle incident of increased error rate Collaborate with existing machine learning engineers, backend engineers and QA test engineers from cross-functional teams Advanced degree (Master's or Ph.D.) in Computer Science/Statistics/Data Science, specializing in machine learning 3+ years of industry experience (pls don't include years in a research group or R&D team) Strong program...

You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you. As a Software Engineer IIIat JPMorgan Chase within the Consumer & Community Banking- Data Technology, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the...