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Lead AI and ML initiatives to design and implement production-grade machine learning systems and pipelines. Develop scalable infrastructure for model training, evaluation, and deployment, ensuring reliability and observability. Collaborate with cross-functional teams to drive innovation and efficiency.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

• Design, build, and deploy machine learning models for personalization, automation, and insights.
• Manage the full ML lifecycle: data preprocessing, feature engineering, training, tuning, evaluation, deployment.
• Integrate ML outputs into user-facing products and backend systems.

BJAK is a leading digital insurance platform, helping millions of users access affordable and transparent financial protection.

• Lead the development of machine learning projects from requirements gathering to deployment.
• Design, implement, and maintain ML pipelines, including data ingestion, feature engineering, modeling, evaluation, and deployment.
• Conduct research and develop advanced analytical and optimization methods to enhance platform capabilities.

Jobgether is a company that is looking for a highly skilled and motivated Senior Data Scientist to join a dynamic, data-driven team.

• Drive the development and implementation of cutting-edge machine learning algorithms.
• Design system and model architectures, conduct rigorous experimentation and model evaluations.
• Collaborate with product, engineering, and analytics teams to build AI functionalities.

At Atlassian, we're motivated by a common goal: to unleash the potential of every team.

• Contribute to designing, building, evaluating, shipping, and improving Sword’s products by hands-on AI/ML development.
• Develop and maintain data processing pipelines for getting the data required to build and evaluate models.
• Work alongside the Product, Data & Engineering Teams to define and implement AI/ML-powered features for internal and external users.

Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere.

• Design, develop, and deploy production-grade machine learning solutions.
• Work on complex ML problems and mentor junior engineers.
• Contribute to building ML accelerators and best practices.

Provectus is an Artificial Intelligence (AI) consultancy and solutions provider. They help companies across industries gain a competitive edge, accelerate growth, and create new value by applying AI technologies and data-driven insights.

• Analyze complex datasets and find insights from data.
• Create data models and ETL pipelines for robust and scalable Machine Learning systems.
• Work with distributed computing, big data frameworks, Kubernetes, and Docker.

Kinaxis powers the world’s supply chains to help preserve the planet’s resources and enrich the human experience with more than 40,000 users in over 100 countries.

• Build, lead, and mentor a machine learning engineering team, taking a hands-on approach while assuming increasing management responsibilities as the team grows
• Design, develop, and deploy machine learning models to strengthen risk management and fraud detection capabilities
• Own technical direction within the risk and fraud domain, helping define strategy, architecture, and best practices

Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

• Act as a trusted advisor to customers, building relationships with technical and business stakeholders.
• Advise on GenAI and ML best practices and give product demos to stakeholders.
• Partner with product and engineering teams to drive the product roadmap and spearhead new opportunities within existing accounts.

Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications.

Deploy and monitor machine learning models in production using tools like Docker, Kubernetes, and MLflow to ensure scalability and reliability. Build and maintain data pipelines using Airflow, Spark, or Kafka to support model training and inference. Integrate ML models into business applications, collaborating with software engineers to operationalize solutions.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

• Design, train, and operate ML systems that power the Tebra platform.
• Own the entire lifecycle from data exploration and model development to deployment.
• Push the boundaries of applied ML in healthcare, transforming messy real-world data into reliable automation.

Kareo and PatientPop have joined forces to become Tebra, the digital backbone for practice well-being, helping independent practices bring modernized care to patients.

We are seeking a highly skilled and motivated Senior Data Scientist to join a dynamic, data-driven team. Work on designing, building, and enhancing AI-powered analytics solutions that transform how organizations manage financial risk and optimize spend. Collaborate closely with product managers, engineers, and fellow data scientists to deliver machine learning models and analytical tools that have a direct impact on business outcomes.

Jobgether is a company that uses AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

• Architect, design, and oversee delivery of end-to-end AI/ML solutions.
• Lead cross-functional teams to implement robust ML platforms, pipelines, and applications.
• Communicate the business value and ROI of AI/ML solutions to stakeholders.

Jobgether is using an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. The system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

• Evolve and support real-time machine learning/AI pipelines to build low-latency, high-throughput systems.
• Design and implement cloud solutions using AWS to ensure high performance, scalability, and reliability.
• Guarantee high levels of service availability through being a part of an on-call rotation, following best practices for disaster recovery and business continuity.

Sony Interactive Entertainment (SIE) PlayStation creates unforgettable gaming experiences and is dedicated to building a world-class team.

• Design, develop, and deliver AI-driven data products in partnership with engineering and product leadership.
• Translate model outputs into clear, actionable insights that drive customer understanding and decision-making.
• Contribute to the evolution of data science standards, tools, and best practices across the organization.

This position is posted by Jobgether on behalf of a partner company.

• Help define the direction for the team.
• Define and prioritize ML Platform initiatives.
• Enable teams to build features at scale by providing a foundation of reusable software components and infrastructure.

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries.

• Strong computer science or engineering background with 3+ years of coding experience with Python.
• Advanced knowledge of AWS services including but not limited to their ML services (AWS SageMaker and AWS Step Functions).
• Experience with ML monitoring and automation tools (MLflow, SagaMaker Pipelines).

Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.

• Lead the full ML model lifecycle from feature engineering to ongoing improvement.
• Architect and implement scalable ranking and personalization models using ML frameworks.
• Collaborate with Product and Data Engineering to translate business needs into user impact.

Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive.

• Operationalize data science solutions for risk-prediction products.
• Design and build ML pipelines using AWS services and tools like MLflow and Snowflake.
• Implement testing strategies within CI/CD pipelines to maintain high platform quality.

Quanata is on a mission to help ensure a better world through context-based insurance solutions.

• Design, develop, and deploy AI/ML solutions that support Magna’s legal and medical platforms.
• Translate business needs into scalable machine learning models and automation workflows.
• Work closely with data engineers, software engineers, and product managers to bring AI products from prototype to production.

Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmental agencies throughout the nation. As an end-to-end service provider, they can provide strategic advantages to their clients.