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EPAM Systems is looking for a Lead Machine Learning Engineer who will be instrumental in building a robust and efficient pipeline. The role involves deploying to the Kubernetes cluster, designing the generation pipeline for seamless model execution, and leading projects in data science. Candidates should have experience in machine learning engineering with a focus on classification metrics, strong Python programming skills, and familiarity with containerization technologies.

EPAM Systems is looking for a Chief Machine Learning Engineer. In this role, you will design a scalable production-grade generation pipeline, addressing specific business problems with machine learning solutions. You must have over 7 years of experience in machine learning engineering, particularly focused on classification metrics and a strong background in Python programming with frameworks like PyTorch.

EPAM Systems is looking for a Senior Python ML/AI Engineer with robust software engineering expertise. In this role, you will engage in an innovative AI project aimed at creating seamless conversational experiences. You will be responsible for defining and optimizing workflows, managing Python libraries, and collaborating with teams to drive AI innovation.

DeepRec.ai is looking for a Machine Learning Team Lead to lead the growth of their ML team over the next few years. You will oversee the end-to-end machine learning lifecycle and work on high-impact projects which shape the company’s logistics strategies. This role supports a fully remote work environment but may require occasional visits to the Toronto office.

Reddit is looking for a Senior Machine Learning Engineer for its Top Of Funnel team. You will leverage vast amounts of data to enhance user growth, improve experiences for millions, and collaborate on innovative projects in a flexible work environment.

Visa is looking for a Software Engineer - Sr. Consultant level to lead a talented team of software engineers in creating client-ready solutions. Responsibilities include developing systems, automation, and tools to enhance productivity and efficiency for developers. The role requires expertise in programming languages such as Python, Jax, and frameworks like ScikitLearn, AutoGluon, and TensorFlow. Ideal candidates have a deep understanding of enterprise architecture and will exhibit leadership skills while promoting a culture of Engineering Excellence.

Meta is looking for a Research Engineer specializing in Detailed 3D Human Pose, Shape and Expression Estimation. Responsibilities include driving the development of algorithms for human representations, collaborating with teams to build and test algorithms, and supporting the realization of research outcomes into reusable tools. This role requires a PhD in Computer Graphics or related fields and at least 5 years of relevant experience in 3D geometry processing.

DeepRec.ai is looking for a Machine Learning Team Lead to lead the growth of their ML team while working on high-impact projects that shape the company’s logistics strategies. As a leader, you will mentor a small team of ML engineers and data scientists, focusing on collaboration, innovation, and the deployment of ML models across various logistics-focused applications. Ideal candidates will have a strong background in machine learning and proficiency in languages like Python.

Visa is looking for a Senior Manager, Data Science Consultant to manage and deliver analytics projects while providing data-driven strategies to clients. The successful candidate should have significant experience in data analytics, strategic problem-solving, and stakeholder management to ensure high-impact results in performance and profitability in diverse markets.

UnitedHealth Group is looking for a Senior Data Scientist - AI/Deep Learning to enhance our capacity to develop new analytic products. In this role, you will analyze, review, and interpret complex data to improve the Revenue Cycle Management (RCM) workflow. You will collaborate with subject matter experts and other data scientists to build and maintain production-ready machine-learning models, identify patterns in data, and design solutions for business problems. Required qualifications include a Master’s degree in a quantitative field and proficiency in AI/ML frameworks such as PyTorch.