MLFlow Jobs

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๐Ÿ”ฅ AI / ML Engineer (m/f/d)
Posted about 18 hours ago

๐Ÿ“ EU

๐Ÿ” Digital healthcare

  • Bachelorโ€™s or Masterโ€™s degree in Artificial Intelligence, Computer Science, Natural Sciences, or a related field.
  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with Machine Learning tools like Databricks or Azure ML.
  • Strong programming skills in Python and experience with Git or version control mechanisms.
  • Proficiency in cloud platforms (AWS, Azure, GCP etc.) and containerization (Docker, Kubernetes etc.).
  • Experience with CI/CD tools (e.g., Jenkins, GitLab, GitHub Actions) and ML workflow tools (e.g., MLflow, Kubeflow etc.).
  • A passion for leveraging AI/ ML to solve complex challenges and deliver meaningful results.

  • Build, deploy or leverage AI and ML models and algorithms to solve real-world problems in digital healthcare.
  • Develop and maintain robust machine learning pipelines and infrastructure for scalable solutions.
  • Work with cross-functional teams to integrate AI capabilities into key business operations and systems.
  • Stay ahead of the curve by researching and implementing the latest advancements in AI and ML.
  • Conduct rigorous testing and optimization to ensure the reliability and efficiency of AI / ML solutions.

DockerPythonKubeflowKubernetesMachine LearningMLFlowPyTorchAzureTensorflowCI/CD

Posted about 18 hours ago
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๐Ÿ“ Philippines

๐Ÿงญ Contract

๐Ÿ” B2B e-commerce

๐Ÿข Company: Makro PRO

  • 5+ years in software engineering in machine learning, with experience in developing production-grade systems.
  • Proficiency in Python and frameworks like TensorFlow, PyTorch, and Scikit-learn.
  • Strong understanding of transformers, SQL, PEFT techniques, and traditional ML algorithms such as XGBoost and clustering.
  • Preferred background in search, recommendation systems, or LLMs.

  • Fine-tune and deploy Generative AI models using PEFT, IA3, and transformers.
  • Build NLP and ranking models for content generation and personalization.
  • Design and implement ML-driven systems to improve search relevance, recommendation accuracy, and personalization.
  • Work with structured and unstructured data using SQL.
  • Architect solutions for distributed ML training and manage resource usage.

PythonSQLData AnalysisMachine LearningMLFlowPyTorchTensorflow

Posted about 22 hours ago
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๐Ÿ“ Cyprus, Malta, USA, Armenia, Georgia, Kazakhstan, Montenegro, Poland, Latvia, Serbia, Spain, Portugal, UAE, Israel, Turkey, Thailand, Indonesia, Japan, Hong Kong, Australia

๐Ÿงญ Full-Time

๐Ÿ” Social discovery

๐Ÿข Company: Social Discovery Group๐Ÿ‘ฅ 501-1000Venture CapitalFinanceInformation Technology

  • A solid 3+ years in developing ML models.
  • Proficiency in Python (pandas, NumPy, scikit-learn, matplotlib, Plotly).
  • Excellent coding skills.
  • Experience with cloud services like Azure, AWS, or GCP.
  • Familiarity with LLM APIs, best models, and prompting techniques.
  • Experience with ML production pipelines such as Airflow and MlFlow.
  • Ability to determine suitable algorithms for specific tasks.

  • Own a particular project from data to production.
  • Build ML/AI models and write services as needed for projects.
  • Wrap models into Docker for deployment.
  • Collaborate with cross-functional teams including Product owners and Analytics.
  • Share ideas and knowledge with the team.

AWSDockerPythonGCPMachine LearningMLFlowNumpyAzurePandas

Posted 2 days ago
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๐Ÿ“ India

๐Ÿ” Consulting, Data, AI, and ML

๐Ÿข Company: Xenon7

  • 6+ years of experience in AI roles or relevant fields such as AI, ML, and Data Science.
  • Expertise and practical experience in one or more domains, such as GenAI in chat bots or robotics.
  • Deep understanding of data structures, data modeling, and software architecture.
  • Knowledge of math, algorithms, and applied statistics (e.g. probability, distributions, regression).
  • Proficiency in pattern recognition and predictive modeling.
  • Proficiency in programming languages like Python, R, or Scala.
  • Extensive experience with machine learning toolkits (e.g. Keras, Pytorch, MLFlow).
  • Working knowledge of cloud computing environments (AWS, GCP, Azure).
  • Experience collaborating with cross-functional teams.

  • Work with business leaders to identify problems that can be resolved using artificial intelligence and machine learning technologies.
  • Use domain expertise to propose and prototype architecture for solutions.
  • Act as domain consultant on projects to ensure high-quality execution and deliverables.
  • Propose and participate in the selection of optimal team for a project.
  • Ensure AI ethics and other SecOps principles are properly implemented on projects.
  • Contribute to the improvement of Xenonโ€™s assessment and delivery process.
  • Contribute to developing Xenonโ€™s domain capabilities, content, and competitiveness.

AWSPythonArtificial IntelligenceCloud ComputingGCPKerasMachine LearningMLFlowPyTorchSoftware ArchitectureAlgorithmsAzureData StructuresScalaData modeling

Posted 3 days ago
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๐Ÿ“ Australia

๐Ÿ” AI

  • Strong experience with MLOps pipelines using Kubeflow, MLflow, or similar.
  • Proficiency in Python for maintainable code.
  • Hands-on experience with AWS services like S3, EC2, and SageMaker.
  • Deep understanding of container orchestration tools like Kubernetes.
  • Experience designing scalable ETL pipelines with SQL and NoSQL databases.

  • Design, build, and maintain MLOps pipelines for machine learning model lifecycle.
  • Collaborate with DevOps teams for cloud infrastructure management, focusing on AWS.
  • Implement CI/CD pipelines for smooth transitions from research to production.
  • Design scalable data pipelines for data collection and processing.
  • Deploy and monitor machine learning models in production.

AWSDockerPythonSQLETLKubeflowKubernetesMLFlowGrafanaPrometheusNosqlCI/CDTerraform

Posted 7 days ago
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๐Ÿ“ France, Europe

๐Ÿงญ Full-Time

๐Ÿ” Fintech

  • Previous experience in Machine Learning Engineering, ideally in scale-up environments (4-5 years).
  • At least 2 years of experience managing Machine Learning profiles.
  • Proficiency in Python and cloud technologies, ideally AWS.
  • Preference for hands-on management role (around 50%).
  • Comfortable collaborating with cross-functional stakeholders.
  • Ability to solve complex problems and strong communication skills.
  • Fluency in English; French is a plus.

  • Be part of the Machine Learning team within the Data department.
  • Contribute to the design and implementation of machine learning solutions throughout the ML lifecycle.
  • Collaborate with Product Managers for high impact ML work.
  • Grow the team and set the right culture and processes.
  • Work closely with data and software engineers for end-to-end solution deployment.

AWSPythonMachine LearningMLFlowPyTorchData engineeringTensorflowTerraform

Posted 9 days ago
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๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ’ธ 100000.0 - 125000.0 USD per year

๐Ÿ” B2B SaaS

๐Ÿข Company: Documo๐Ÿ‘ฅ 51-100๐Ÿ’ฐ $4,999,999 8 months agoProductivity ToolsDocument ManagementEnterprise SoftwareHealth CareSoftware

  • Experience with the software development life cycle (SDLC).
  • Knowledge in performance optimization and debugging of ML models.
  • Ability to work with data processing, model versioning, and experiment tracking.
  • Experience in collaborating with cross-functional teams.
  • Ability to provide technical support and resolve escalated issues.

  • Design, develop, and maintain ML pipelines and systems.
  • Implement and optimize model fine-tuning processes.
  • Develop and maintain infrastructure for model deployment and monitoring.
  • Collaborate with product management to ensure ML solutions meet customer needs.
  • Lead code reviews and maintain best practices for ML model deployment.
  • Mentor junior engineers and share expertise in ML engineering.

AWSDockerPythonData AnalysisData MiningMachine LearningMLFlowPyTorchAlgorithmsTensorflow

Posted 9 days ago
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๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ” Healthcare

๐Ÿข Company: Datavant๐Ÿ‘ฅ 1001-5000๐Ÿ’ฐ $40,000,000 Series B over 4 years agoBiopharmaClinical TrialsData IntegrationHealth CareSoftware

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • Proven experience (5+ years) as a MLOps Engineer, Software engineer, DevOps Engineer or related role.
  • Strong understanding of machine learning concepts, algorithms, and frameworks such as MLFlow, TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of big data processing technologies such as Apache Spark for handling large-scale data and distributed computing.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) and familiarity with services like AWS SageMaker, Azure Machine Learning, or Google AI Platform.
  • Understanding of containerization technologies like Docker and container orchestration tools like Kubernetes.
  • Proficiency in version control systems (e.g., Git) and CI/CD tools.
  • Hands-on experience with Databricks for data engineering and analytics (nice to have).
  • Experience designing and implementing CI/CD pipelines for machine learning workflows using tools like Jenkins, GitLab CI, or Azure DevOps.
  • Strong problem-solving skills and attention to detail.

  • Design, implement, and maintain scalable MLOps infrastructure and pipelines using Apache Spark, Python, and other relevant technologies.
  • Collaborate with data scientists and software engineers to deploy machine learning models into production environments.
  • Develop and automate CI/CD pipelines for model training, testing, validation, and deployment.
  • Implement monitoring, logging, and alerting solutions to track model performance, data drift, and system health.
  • Optimize and tune machine learning workflows for performance, scalability, and cost efficiency.
  • Ensure security and compliance requirements are met throughout the MLOps lifecycle.
  • Work closely with DevOps teams to integrate machine learning systems with existing infrastructure and deployment processes.
  • Provide technical guidance and support to cross-functional teams on best practices for MLOps and model deployment.
  • Stay updated on emerging technologies, tools, and best practices in MLOps and machine learning engineering domains.
  • Perform troubleshooting and resolution of issues related to machine learning pipelines, infrastructure, and deployments.

AWSDockerPythonGCPKubernetesMLFlowPyTorchAzureSparkTensorflowCI/CD

Posted 14 days ago
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๐Ÿ“ Remote or State College, PA

๐Ÿ” Weather services

๐Ÿข Company: AccuWeather Careers

  • 3+ years of experience in applying machine learning and deep learning algorithms (CNNs, GANs, LSTMs, etc.).
  • A strong interest and passion for image processing, feature extraction, object detection and recognition, image classification, and motion analysis.
  • Experience with Python (especially Numpy, Pandas, and Scikit-learn) and the main deep learning frameworks (MLflow, TensorFlow, PyTorch, Keras, Jax, etc.).
  • Strong background in mathematics, including statistics and optimization.
  • High level of critical thinking and analysis to resolve complex challenges effectively.
  • Ability to make prompt, sound decisions faced with complex alternatives.
  • Self-driven with strong problem-solving skills and adaptability.
  • Strong verbal and written communication skills along with excellent collaboration abilities.

  • Build and train complex machine learning models leveraging AccuWeatherโ€™s extensive data archives towards the prediction of weather phenomena.
  • Regularly present model findings and verifications along with areas for further refinement.
  • Assemble large, complex data sets that align with business requirements, ensuring data integrity and quality.
  • Perform extraction, transformation, loading, and optimization of data from various sources.
  • Work closely with internal and external stakeholders including product and executive teams.
  • Deploy machine learning and deep learning models into production environments.

PythonData AnalysisImage ProcessingKerasMachine LearningMLFlowNumpyPyTorchPandasTensorflow

Posted 20 days ago
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๐Ÿ“ US

๐Ÿงญ Full-Time

๐Ÿ’ธ 187500.0 - 234500.0 USD per year

๐Ÿ” People success platform

๐Ÿข Company: Lattice๐Ÿ‘ฅ 501-1000๐Ÿ’ฐ $175,000,000 Series F almost 3 years ago๐Ÿซ‚ Last layoff 2 months agoProductivity ToolsManagement Information SystemsHuman ResourcesEnterprise ApplicationsSoftware

  • 8+ years of professional experience in production-level applications.
  • At least 4 years of experience in designing scalable AI/ML systems.
  • Deep expertise in AI/ML, including LLMs and model fine-tuning.
  • Experience with advanced LLM techniques like RAG, RLHF, or LoRA.
  • Strong programming skills in Python, with experience in frameworks like PyTorch and TensorFlow.
  • Expertise in MLOps, including Docker, Kubernetes, and CI/CD workflows.
  • Proficiency in the AWS ecosystem and data engineering tools.
  • Excellent problem-solving and system design skills.
  • Strong communication and collaboration skills.

  • Join Latticeโ€™s AI Engineering team to lead and shape the AI strategy.
  • Build software focusing on large language models and machine learning technologies.
  • Design and develop end-to-end architectures for AI/ML solutions.
  • Optimize LLM-based solutions for the talent platform and product suite.
  • Drive architectural decisions considering scalability, latency, accuracy, and cost.
  • Implement AIOps practices such as CI/CD and model monitoring.
  • Collaborate cross-functionally to influence technical decisions.
  • Mentor engineers in AI engineering best practices.
  • Evaluate AI/ML vendors for infrastructure solutions.

AWSDockerPythonKubernetesMachine LearningMLFlowPyTorchData engineeringTensorflowCI/CDTerraform

Posted 24 days ago
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