Develop production data science applications in Python, end to end. Design and develop new AI services from scratch. Maintain and enhance current data science pipelines in complex high-load applications.
Source Job
20 jobs similar to Machine Learning Engineer
Jobs ranked by similarity.
- 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.
- Design and deploy production-ready ML solutions, leveraging cutting-edge platforms.
- Conduct causal analysis to guide high-stakes business strategy.
- Integrate models into production systems and monitor their performance using advanced observability tools.
CSC Generation is the AI-native holding company re-engineering omni-channel retail by acquiring iconic brands and transforming them with their operating platform.
Design and implement ML models for behavior prediction, anomaly detection, and risk scoring. Develop and fine-tune transformer-based models. Partner with product and engineering to translate business problems into data science solutions.
Teramind is the leading platform for user behavior analytics, serving multiple use cases from insider risk mitigation to business process optimization.
- Develop Machine Learning models and pipelines.
- Interact with databases and data infrastructure.
- Conduct in-depth data analytics and build statistical data inference models of biological processes.
Aquabyte is working to revolutionize the sustainability and efficiency of aquaculture through underwater cameras, computer vision, and machine learning.
- Build and deploy production machine learning models and pipelines end-to-end.
- Lead technical innovation across the data science organization.
- Develop financial models using alternative data sources.
Happy Money is a consumer finance company that empowers people to achieve their goals through simple, transparent loans funded by trusted financial institutions.
- 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.
- Conduct advanced data analysis and modeling to generate insights using statistical models and machine learning.
- Translate complex data science concepts into actionable business insights for senior executives.
- Collaborate with cross-functional teams to ensure the successful delivery of high-impact data science initiatives.
ConnectiveRx untangles the prescription process and creates a clear path—allowing patients to build trusting relationships with their medication brands.
- Understand complex business challenges and translate them into data science problems.
- Design and implement machine learning models, statistical tests, and optimization strategies.
- Deliver Proof-of-Concepts and production-ready models within Agile and cross-functional teams.
CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.
Work on impactful AI and machine learning projects and contribute to solutions. Help build and support machine learning models and AI systems that power Experian's products and services. Participate in research and experimentation with new AI techniques and tools and machine learning models focusing on real-world applications.
Experian is a global data and technology company, powering opportunities for people and businesses around the world.
- 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.
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.
- Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes.
- Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility.
- Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale.
At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes.
- 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.
Draft detailed natural-language plans and code implementations for machine learning tasks. Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments. Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks.
Mercor is building the talent engine that helps leading labs and research orgs move AI forward.
- Conduct exploratory data analyses and develop machine learning models to identify risks.
- Train and iterate on machine learning models using novel techniques.
- Debug models when observability shows performance gaps, and iterate on models.
Patreon is a media and community platform allowing creators to give their biggest fans access to exclusive work and experiences and fund the creative class.
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.
- Draft detailed natural-language plans and code implementations for machine learning tasks.
- Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments.
- Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks.
At Mercor, we’re building the talent engine that helps leading labs and research orgs move AI forward.
Lead the full data science lifecycle, from data acquisition and preparation to model development, deployment, and performance monitoring. Leverage advanced machine learning, deep learning, and generative AI techniques to solve challenging problems and deliver impactful solutions. Collaborate with cross-functional teams, including product managers, engineers, and analysts, to translate business needs into scalable, production-ready AI/ML 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.
The Senior Data Scientist will collaborate with cross-functional teams to design, develop, and deploy machine learning models. The role involves research, experimentation, and innovation to advance AI capabilities in financial and operational analytics. The position will also mentor junior team members and contribute to technical strategy, ensuring scalable, reliable, and explainable AI 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.
- 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.