Machine Learning Jobs

Find remote positions requiring Machine Learning skills. Browse through opportunities where you can utilize your expertise and grow your career.

Machine Learning
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πŸ“ United States, Canada

🧭 Full-Time

πŸ’Έ 230000 - 322000 USD per year

πŸ” Advertising technology

  • 7+ years of contributing high-quality code to production systems that operate at scale.
  • 5+ years of experience building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems.
  • Experience leading large engineering teams and collaborating with cross-functional partners.
  • Experience designing optimization algorithms in an ad serving platform and/or other marketplaces.
  • Significant experience in one or more general-purpose programming languages like Java, Python, Go, Scala, C++, or similar.
  • Familiarity with data processing frameworks like Spark, Flink, Kafka, Druid, etc.
  • Experience with a cloud service provider like AWS or GCP.
  • Knowledge of tools like Kubernetes, Drone, CircleCI, Spinnaker, Argo, Airflow, Docker, Thrift.
  • Experience with datastores such as ElasticSearch/Amazon OpenSearch, Redis, Postgres, Cassandra, BigQuery.
  • Experience with machine learning modeling frameworks like TensorFlow or PyTorch.

  • Building Reddit-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry.
  • Leverage live auction data and model predictions to adjust campaign bids in real time.
  • Incorporate knowledge of the Reddit ads marketplace into budget pacing algorithms powered by control & reinforcement learning systems.
  • Lead the team on designing new bid & budget optimization products and algorithms as well as conducting rigorous A/B experiments to evaluate the business impact.
  • Actively participate and work with other leads to set the long-term direction for the team, plan and oversee engineering designs and project execution.

AWSDockerPythonElasticSearchGCPJavaKafkaKubernetesMachine LearningPyTorchC++AirflowAlgorithmsCassandraElasticsearchGoPostgresRedisSparkTensorflow

Posted 2024-11-21
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πŸ“ Canada

πŸ” Artificial Intelligence

  • Strong background in AWS DevOps and data engineering.
  • Expertise with AWS and SageMaker is essential.
  • Experience with Snowflake for analytics and data warehousing is highly desirable.

  • Manage and optimize the data infrastructure.
  • Focus on both data engineering and DevOps responsibilities.
  • Deploy machine learning models to AWS using SageMaker.

AWSMachine LearningSnowflakeData engineeringDevOps

Posted 2024-11-21
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πŸ“ United States

🏒 Company: ARFA Solutions, LLC

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field.
  • 5+ years of experience in DevOps or MLOps roles.
  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Proficiency in programming languages such as Python, R, or Java.
  • Strong understanding of cloud platforms (AWS, Azure, or GCP) and their machine learning services.
  • Experience with containerization technologies, particularly Docker, and orchestration tools like Kubernetes.
  • Knowledge of CI/CD tools like Jenkins, GitLab CI/CD, or Azure DevOps.
  • Familiarity with data pipeline tools and frameworks, such as Apache Airflow or Kubeflow.
  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork abilities.

  • Design, implement, and manage MLOps pipelines for deploying and monitoring machine learning models.
  • Collaborate with data scientists to understand model requirements and operationalize models into production environments.
  • Automate model training, testing, and deployment processes through CI/CD principles.
  • Monitor and evaluate model performance in production and implement solutions for improvement.
  • Implement data versioning, model versioning, and tracking systems to ensure reproducibility.
  • Ensure security and compliance in the deployment of machine learning models.
  • Document processes and improve collaboration between teams for efficient workflows.
  • Stay up-to-date with industry trends and technologies in MLOps and machine learning.

AWSDockerPythonApache AirflowGCPJavaJenkinsKubeflowKubernetesMachine LearningPyTorchAirflowAzureData scienceTensorflowAnalytical SkillsCollaborationCI/CDDevOpsCompliance

Posted 2024-11-21
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πŸ“ Saint MandΓ©

πŸ” Gaming

  • Experience in Software/Data engineering or a related field.
  • Solid experience with Python or Rust.
  • Experience building and interacting with REST APIs.
  • Familiarity with microservice architecture and API design.
  • Previous experience using cloud technology, Kubernetes, and AWS/Azure.
  • Knowledge of Machine Learning and Deep Learning.
  • Experience in deploying models to production.
  • Good communication skills and the ability to work collaboratively.

  • Take ownership over the projects you build and push them ahead.
  • Design, prototype, build, and maintain microservices & APIs for data and model delivery.
  • Build pipelines and batch processes to move and transform data.
  • Manage scalable infrastructure in the cloud.
  • Work on quality improvements and proof-of-concept projects.
  • Write, optimize, and produce high-quality code for scalability using modern best practices.
  • Collaborate with data and machine learning engineers to deploy models or prediction pipelines to production.

AWSPythonKubernetesMachine LearningAzureData engineeringRustCommunication SkillsCollaborationMicroservices

Posted 2024-11-21
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πŸ“ Germany, Austria

πŸ” Financial Technology

  • Excellent university degree in computer science, mathematics, natural sciences, or a similar field.
  • Knowledge in econometrics with an emphasis on portfolio optimization and risk modelling.
  • Experience with convex optimization and exposure to libraries like cvxpy, scipy or cvxopt.
  • Exposure to tech stack: Python, Docker, CI/CD, Infrastructure as Code (Terraform), SQL.
  • Experience with cloud providers like AWS.
  • Knowledge of software development/design in Python and relational databases/SQL.
  • Fluent in English with strong communication skills.
  • Proactive and independent working style.

  • Develop and fully automate trading algorithms focusing on risk, cost, tax optimization.
  • Productionize algorithmic models that respond to client requests and market movements.
  • Create high-performance risk management tools and interactive dashboards.
  • Architect interfaces connecting services and generate data-driven business value.
  • Completely automate algorithms that manage billions in assets.
  • Productionize econometric models for portfolio management.

DockerPythonSoftware DevelopmentAgileMachine LearningAlgorithmsCommunication SkillsCI/CDTerraformTime Management

Posted 2024-11-21
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πŸ”₯ Data Scientist
Posted 2024-11-21

πŸ“ United States

🧭 Full-Time

πŸ” Alternative investments

🏒 Company: K1X

  • PhD or Master’s degree in a relevant quantitative field (data science, mathematics, statistics), or equivalent experience.
  • 6+ years of industry experience as a data scientist with a focus on NLP/NLU projects.
  • Demonstrated experience leading end-to-end data science project implementations.
  • Strong programming background in Python and a strong understanding of machine learning frameworks and libraries (e.g. scikit-learn, PyTorch, spaCy).
  • Excellent communication and collaboration skills, exceptional problem-solving skills.

  • Develop and optimize machine learning models for parsing, extracting, and categorizing data in PDF tax documents.
  • Collaborate with cross-functional teams to integrate machine learning solutions into our software products.
  • Apply statistical analysis to identify signals, trends, and insights that can inform product development.
  • Mentor and guide junior data scientists and team members, fostering a collaborative and innovative work environment.

PythonMachine LearningPyTorchProduct DevelopmentData scienceCollaborationAccounting

Posted 2024-11-21
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πŸ“ Germany

πŸ” SaaS platforms for Conversational AI

  • 2+ years of experience as a Sales Engineer, preferably at a SaaS vendor.
  • Deep experience with enterprise technology.
  • Experience with sales processes and market dynamics.
  • Fluent in German and English.
  • Confident presentation and communication skills.
  • Ability to work under pressure and solve problems.

  • Be responsible for the full spectrum of the technical sales process, from identifying customer pain to proving solutions.
  • Work closely with assigned sellers, co-owning accounts and sales campaigns.
  • Develop territory plans and participate in sales calls.
  • Lead technical deep dives and conduct Proof of Value sessions with customer technical teams.
  • Contribute to improving internal processes, documentation, and ways of working.
  • Advocate for customer needs to influence product roadmap discussions.
  • Collaborate with various teams including sales engineering, account executives, sales leadership, product management, and customer success.

Artificial IntelligenceMachine LearningProduct ManagementCommunication SkillsCollaborationCustomer serviceDocumentation

Posted 2024-11-21
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πŸ“ Germany

🧭 Full-Time

πŸ” SaaS, Conversational AI

  • 5+ years of experience as a Sales Engineer, preferably at a SaaS vendor.
  • Deep experience with enterprise technology.
  • Experience with sales processes and market dynamics.
  • Fluent in German and English.
  • Confident presentation and communication skills.
  • Ability to work under pressure and solve problems.

  • Be responsible for the full spectrum of the technical sales process, from identifying customer pain to proving solutions.
  • Work closely with assigned sellers, co-owning accounts, and sales campaigns in the assigned territory.
  • Develop territory plans, participate in sales calls, lead technical deep dives, and conduct Proof of Value sessions with customer technical teams.
  • Contribute to improving internal processes, documentation, and ways of working.
  • Advocate for customer needs to influence product roadmap discussions.
  • Collaborate with DACH Sales Engineering Team, DACH Enterprise Account Executives, DACH Sales Leadership, product management, customer success, and sales enablement.
  • Attend external events, team meetings, and annual events.

Artificial IntelligenceMachine LearningCommunication SkillsCollaborationCustomer serviceDocumentation

Posted 2024-11-21
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πŸ“ EU

πŸ” E-pharmacy

  • Multiple years of experience in data governance, AI governance, or related fields.
  • At least 2-3 years in a leadership capacity.
  • Hands-on experience establishing and overseeing data and AI governance policies.
  • Strong understanding of AI technologies, machine learning, data management, data privacy regulations.
  • Experience in risk management and mitigation for both AI systems and data governance.
  • Strategic thinker with problem-solving skills and attention to detail.

  • Define and enforce policies related to data quality, integrity, privacy, and security across the organization.
  • Ensure compliance with data privacy laws and regulations, such as GDPR, CCPA, and other data protection standards.
  • Develop and implement procedures for managing sensitive data and data access controls.
  • Oversee the full data lifecycle, from collection to secure deletion, ensuring proper management of data assets.
  • Work closely with data management, IT, legal, and business teams to ensure proper data governance practices.

LeadershipArtificial IntelligenceMachine LearningAttention to detailCompliance

Posted 2024-11-21
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πŸ“ Poland

πŸ” Threat Intelligence

  • Professionals should be skilled in various areas including Data Science, Malware Research, and Development.
  • Familiarity with privacy-related aspects is also important.

  • The Threat Intelligence team provides accurate and timely information on potential threats.
  • Utilizes feeds, heuristics, algorithms, and machine learning to analyze threats.

Backend DevelopmentPythonSoftware DevelopmentArtificial IntelligenceCybersecurityData AnalysisData MiningMachine LearningAlgorithmsData analysisData miningGoCommunication SkillsAnalytical SkillsCollaborationProblem SolvingAttention to detailOrganizational skillsTime ManagementWritten communication

Posted 2024-11-21
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