15 Feast Jobs

Prior 2+years of experience working with ML Ops & DS Responsibilities & Skills : Deploy, monitor, and scale ML models on AWS(SageMaker,EKS,Lambda) or GCP(VertexAI,GKE,CloudFunctions) . Build and maintain CI/CDpipelines for ML workflows using GitHubActions/Jenkins/cloud-nativetools . Containerize and orchestrate workloads with Docker&Kubernetes manage infra via Terraform/CloudFormation . Implement modelregistries,featurestores,andobservability using MLflow,Feast,Prometheus/Grafana . Collaborate with data scientists to operationalize ML models for personalization,recommendations,NLP . Proficient in Python ,MLframeworks( Scikit-learn,TensorFlow,PyTorch )anddatapipelines( Airflow,Spark,SQL ). Bo...

Zeta Global is looking for an experienced Machine Learning Engineer with industry-proven hands-on experience of delivering machine learning models to production to solve business problems. To be a good fit to join our AI/ML team, you should ideally: Be a thought leader that can work with cross-functional partners to foster a data-driven organisation. Be a strong team player, have experience contributing to a large project as part of a collaborative team effort. Have extensive knowledge and expertise with machine learning engineering best-practices and industry standards. Empower the product and engineering teams to make data-driven decisions. What you need to succeed: 2 to 4 years of proven ...

Role Overview: At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. We are counting on your unique voice and perspective to help EY become even better. Join us to build an exceptional experience for yourself and contribute to creating a better working world for all. Key Responsibilities: - Develop, deploy, and monitor machine learning models in production environments. - Automate ML pipelines for model training, validation, and deployment. - Optimize ML model performance, scalability, and cost efficiency. - Implement CI/CD workflows for ML model versioning, testing, and deplo...

Prior 2+ years of experience working with ML Ops & DS Responsibilities & Skills : Deploy, monitor, and scale ML models on AWS (SageMaker, EKS, Lambda) or GCP (Vertex AI, GKE, Cloud Functions) . Build and maintain CI/CD pipelines for ML workflows using GitHub Actions / Jenkins / cloud-native tools . Containerize and orchestrate workloads with Docker & Kubernetes ; manage infra via Terraform/CloudFormation . Implement model registries, feature stores, and observability using MLflow, Feast, Prometheus/Grafana . Collaborate with data scientists to operationalize ML models for personalization, recommendations, NLP . Proficient in Python , ML frameworks ( Scikit-learn, TensorFlow, PyTorch ) and da...

ViewTrade is a leading force in powering fintech and cross-border investing for financial services firms globally. With a focus on providing technology, support, and brokerage services, ViewTrade assists business innovators in launching or enhancing retail, fintech, wealth, or cross-border investing experiences. Over the past three decades, ViewTrade has collaborated with 300+ firms, ranging from technology startups to large banks, brokers, super apps, advisory, and wealth management, to create unique investment experiences tailored to meet customer demands. Operating in over 29 countries, ViewTrade's team brings decades of experience and expertise in financial services technology and servic...

The role of an Engineering Manager at Canonical As an Engineering Manager at Canonical, you must be technically strong, but your main responsibility is to run an effective team and develop the colleagues you manage. You will develop and review code as a leader, while at the same time staying aware of that the best way to improve the product is to ensure that the whole team is focused, productive and unblocked. You are expected to help them grow as engineers, do meaningful work, do it outstandingly well, find professional and personal satisfaction, and work well with colleagues and the community. You will also be expected to be a positive influence on culture, facilitate technical delivery, a...

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Role Overview We're building a next-gen LLMOps team at Fractal to industrialize GenAI implementation and shape the future of GenAI engineering. This is a hands-on technical leadership role for AI engineers with strong ML and DevOps skills ideal for those who love building scalable systems from the ground up. You will be designing, deploying, and scaling GenAI and Agentic AI applications with robust lifecycle automation and observability. Required Qualifications 10 - 14 years of experience in working on ML projects that includes product build...

Zeta Global is looking for an experienced Machine Learning Engineer with industry-proven hands-on experience of delivering machine learning models to production to solve business problems. To be a good fit to join our AI/ML team, you should ideally: Be a thought leader that can work with cross-functional partners to foster a data-driven organisation. Be a strong team player, have experience contributing to a large project as part of a collaborative team effort. Have extensive knowledge and expertise with machine learning engineering best-practices and industry standards. Empower the product and engineering teams to make data-driven decisions. What you need to succeed: 2 to 4 years of proven ...

5+ years of experience in Python programing and performance tuning and optimization. Experience on ML engineering, Knowledge on Feast, Kubeflow and MLFlow. Deep understanding on NumPy , Pandas, data frames etc. Working knowledge on bigdata environment and data science model added advantage. Strong analytical and problem-solving skills, with attention to detail and ability to work in a fast-paced environment Excellent communication and collaboration skills, with ability to work with cross-functional teams Knowledge of machine learning and data science concepts

Zeta Global is looking for an experienced Machine Learning Engineer with industry-proven hands-on experience of delivering machine learning models to production to solve business problems. To be a good fit to join our AI/ML team, you should ideally: Be a thought leader that can work with cross-functional partners to foster a data-driven organisation. Be a strong team player, have experience contributing to a large project as part of a collaborative team effort. Have extensive knowledge and expertise with machine learning engineering best-practices and industry standards. Empower the product and engineering teams to make data-driven decisions. What you need to succeed: 2 to 4 years of proven ...

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has appli...

Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office (Hyderabad) Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: InfraCloud Technologies Pvt Ltd) (*Note: This is a requirement for one of Uplers' client - IF) What do you need for this opportunity? Must have skills required: Banking, Fintech, Product Engineering background, Python, FastAPI, Django, MLFlow, feast, Kubeflow, NumPy, pandas, Big Data IF is Looking for: Product Engineer Location: N arsingi, Hyderabad 5 days of work from the Office Client is a Payment gateway processing company Interview Process: Screening round with InfraCloud, followed by a second ...

Product Engineer (Onsite, Hyderabad) Experience: 5 - 8 Years Exp Salary : INR 30-32 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 9:00AM to 6:00PM IST Opportunity Type: Onsite (Hyderabad) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python, FastAPI, Django, MLFlow, feast, Kubeflow, Numpy, Pandas, Big Data Good to have skills : Banking, Fintech, Product Engineering background IF (One of Uplers' Clients) is Looking for: Product Engineer (Onsite, Hyderabad) who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positi...

5+ years of experience in Python programing and performance tuning and optimization. Experience on ML engineering, Knowledge on Feast, Kubeflow and MLFlow. Deep understanding on NumPy , Pandas, data frames etc. Working knowledge on bigdata environment and data science model added advantage. Strong analytical and problem-solving skills, with attention to detail and ability to work in a fast-paced environment Excellent communication and collaboration skills, with ability to work with cross-functional teams Knowledge of machine learning and data science concepts

Zeta Global is looking for an experienced Machine Learning Engineer with industry-proven hands-on experience of delivering machine learning models to production to solve business problems. To be a good fit to join our AI/ML team, you should ideally: Be a thought leader that can work with cross-functional partners to foster a data-driven organisation. Be a strong team player, have experience contributing to a large project as part of a collaborative team effort. Have extensive knowledge and expertise with machine learning engineering best-practices and industry standards. Empower the product and engineering teams to make data-driven decisions. What you need to succeed: 2 to 4 years of proven ...