ML Engineer

Posted 10 days agoViewed

💎 Seniority level: Middle, 3+ years

📍 Location: United States

🔍 Industry: Medical Imaging, AI/ML

🏢 Company: HOPPR👥 11-50 Artificial Intelligence (AI)Medical Information Technology Health Care Health Diagnostics Software

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: AWSDockerPythonSQLGCPKubernetesMachine LearningPyTorchAzurePandasTensorflow

Requirements:

Master’s or PhD in Computer Science, Engineering, or a related field
3+ years' experience in relevant roles
Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow
Strong understanding of MLOps practices
Experience with cloud platforms (e.g., AWS, GCP, Azure)
Knowledge of data engineering principles

Responsibilities:

Develop, deploy, and maintain state-of-the-art machine learning models
Design and implement robust ML pipelines and shared infrastructure
Collaborate with researchers to translate algorithms into production-ready solutions
Build and maintain MLOps tools and practices
Optimize model performance in production environments
Partner with clinicians and product teams

Apply

Related Jobs

Apply

🔥 Sr. AI/ML Engineer (Backend)

Posted about 1 month ago

📍 United States

🔍 Mental Health Care Technology

🔧 Requirements

Experience in backend development.
Strong focus on data-driven technology and decision-making.
Ability to engage in cross-functional projects.

💡 Responsibilities

Build the backend infrastructure necessary for delivering generative AI-based products.
Engage in cross-functional projects.
Participate in mentorship activities.

Backend DevelopmentDockerPostgreSQLPythonArtificial IntelligenceMachine Learning

Posted about 1 month ago

Apply

🔥 Lead AI/ML Engineer

Posted 3 months ago

📍 Honolulu, San Francisco, New York, Los Angeles, Denver, Miami

🔍 Location data

🔧 Requirements

Strong comfort with remote work and global collaboration.
Proven experience in building, deploying, and managing AI/ML models.
Ability to tackle complex data challenges, including multilingual data.
Familiarity with Large Language Models (LLMs) for data quality improvement.
Strategic thinking and innovative problem-solving.
Interest in staying updated with advancements in AI/ML and NLP.

💡 Responsibilities

Develop and implement AI/ML models to process and analyze large-scale location data.
Work on cleaning, deduplicating, and normalizing data from multiple sources.
Enhance global polygon data for accuracy and consistency.
Build and maintain ML pipelines for deduplication and data standardization.
Utilize NLP techniques to handle multilingual data for improved extraction and classification.
Collaborate with data scientists, engineers, and product managers to address data challenges.
Contribute to continuous improvement in data processing frameworks.

LeadershipPythonArtificial IntelligenceData AnalysisData MiningMachine LearningNLTKNumpyCross-functional Team LeadershipStrategyAlgorithmsGoPandasTensorflowCommunication SkillsAnalytical SkillsCollaborationProblem SolvingMentoringAttention to detailOrganizational skillsPresentation skillsTime ManagementWritten communication

Posted 3 months ago

Apply

🔥 Senior AI/ML Engineer (Remote - US-Based)

Posted 3 months ago

📍 United States

🧭 Full-Time

🔍 Healthcare Technology

🔧 Requirements

Strong understanding of machine learning algorithms.
Experience in data processing.
Passion for using technology to improve healthcare outcomes.

💡 Responsibilities

Play a crucial role designing, building, and deploying machine learning models and AI systems.
Work on impactful projects that leverage AI and ML in healthcare.
Analyze patient interactions to extract actionable insights.
Collaborate with a multidisciplinary, agile team.

PythonSoftware DevelopmentAgileArtificial IntelligenceData AnalysisData MiningElasticSearchGitJavaJavascriptKerasMachine LearningNLTKNumpyPyTorchAlgorithmsData scienceGoPandasTensorflowCommunication SkillsAnalytical SkillsCollaborationProblem SolvingAgile methodologiesAttention to detail

Posted 3 months ago

Apply

🔥 ML Engineer - AI Platform

Posted 3 months ago

📍 San Francisco, New York

🧭 Full-Time

💸 149000 - 350000 USD per year

🔍 Design technology

🏢 Company: Figma

🔧 Requirements

Expertise building infrastructure for AI/ML model development in industry.
Experience in software development in Python; experience in languages like C/C++ is nice to have but not required.
Expertise working closely with AI researchers on applied AI projects to build high quality models in a fast paced environment.
Expertise improving datasets and evaluation metrics for applied ML projects.
Experience solving sophisticated problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward.
Experience communicating and working across functions to drive solutions.

💡 Responsibilities

Build data pipelines to collect high quality training and evaluation data for developing AI models.
Build annotation pipelines to collect ground truth using humans and AI models in the loop.
Collaborate closely with AI product engineers to define requirements for AI features.
Collaborate closely with AI researchers to identify failure cases, improve data sets, evaluation metrics and hill climb quality of AI models.
Work closely with AI infra engineers to build the right infrastructure for AI model development and inference.
Explore the boundaries of what is possible with the current technology set and experiment with novel ideas.

PythonSoftware DevelopmentWritten communication

Posted 3 months ago

Apply

🔥 Principal ML Engineer, ML Platform Engineering

Posted 3 months ago

📍 United States

🧭 Full-Time

🔍 Manufacturing

🏢 Company: Xometry👥 501-1000💰 $75,000,000 Series E over 4 years agoArtificial Intelligence (AI)3D Printing Industrial Engineering Software

🔧 Requirements

At least 7 years of experience in machine learning engineering, software engineering, data science, or similar roles.
A required bachelor’s degree; advanced degree (M.S. or PhD) preferred and may substitute for experience.
Experience designing and deploying cloud infrastructure (preferably AWS) for machine learning.
Deep understanding of the machine learning lifecycle and its infrastructure needs.
Technical expertise in software engineering principles, machine learning techniques, infrastructure as code (Terraform), REST API design, and programming in Python.
Experience with AWS microservices, containerization technologies, and multimodal data processing.

💡 Responsibilities

Adopt a 'lead by example' approach by actively coding and troubleshooting, creating documentation and technical diagrams.
Serve as a mentor and guide to engineers, teaching and helping them grow.
Conduct code reviews and promote best practices in ML Engineering.
Ensure delivery of superior infrastructure and software exceeding customer expectations.
Forge partnerships with product managers, data scientists, and leadership for effective collaboration.
Champion cutting-edge technologies and methodologies in the AI/ML space.

AWSDockerLeadershipPythonKubernetesMachine LearningPyTorchStrategyAlgorithmsData scienceREST APITensorflowMentoringTerraformDocumentationMicroservices

Posted 3 months ago

Apply

🔥 AI/ML Engineer

Posted 4 months ago

📍 United States, Canada

🧭 Full-Time

🔍 Software Development

🔧 Requirements

Bachelor's or master's degree in Computer Science, Software Engineering, or Data Science
3+ years of experience in software development
Experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn
Strong proficiency in Python and relevant libraries
Foundational understanding of machine learning concepts
Proficiency in data preprocessing and feature engineering
Familiarity with cloud platforms (AWS, Azure, Google Cloud) and Docker/Kubernetes
Excellent analytical and communication skills

💡 Responsibilities

Implement AI/ML solutions with business leaders
Design and deploy scalable machine learning models
Ensure efficient data integration for AI models
Collaborate with tech teams for system integration
Monitor and optimize model performance
Write clean and well-documented code
Identify process improvement opportunities
Assist with user training and support

DockerPythonCloud ComputingKerasKubernetesMachine LearningNumpyPyTorchPandasTensorflow

Posted 4 months ago

Apply

🔥 ML Engineer - Inference

Posted 4 months ago

📍 United States

🧭 Full-Time

🔍 Conversation AI

🏢 Company: Symbl.ai👥 51-100💰 $17,000,000 Series A over 3 years agoArtificial Intelligence (AI)Developer APIs Generative AI Information Technology

🔧 Requirements

Strong background in machine learning, with hands-on experience in developing and deploying inference models.
Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.
Experience with optimization techniques including quantization, pruning, and model compression.
Strong problem-solving skills for troubleshooting complex technical issues.
Excellent communication and collaboration skills in a remote team environment.
Passion for learning and staying updated on advancements in ML inference technologies.
Experience with ML workflow libraries like CUDNN/TensorRT, ROCm, OpenVino, or OpenPPL; knowledge of ML communication frameworks like NCCL is an advantage.

💡 Responsibilities

Design and implement efficient algorithms and models for real-time inference in Conversation AI applications, with a focus on Nebula.
Collaborate with cross-functional teams to integrate machine learning models into production systems, ensuring scalability, reliability, and performance.
Optimize and fine-tune machine learning models for resource-constrained environments.
Develop monitoring and evaluation mechanisms to assess performance of inference models.
Stay updated on advancements in machine learning inference techniques and incorporate new approaches as needed.
Contribute to the documentation of best practices for implementing and deploying ML inference solutions.

PythonMachine LearningPyTorchAlgorithmsTensorflowCollaboration

Posted 4 months ago

Apply

🔥 DS/ML Engineer

Posted 4 months ago

📍 United States, Canada

🧭 Full-Time

🔍 Software Development

🔧 Requirements

Experience in data science
Experience in machine learning

💡 Responsibilities

Build and operate AI language features
Develop services that make a difference

AWSPythonSQLData AnalysisETLMachine LearningNumpyPyTorchData sciencePandasTensorflow

Posted 4 months ago

Apply

🔥 Senior ML Engineer, Applied Machine Learning

Posted 4 months ago

📍 USA

🧭 Full-Time

💸 175000 - 225000 USD per year

🔍 Technology-led companies in healthcare, cyber, and national security

🏢 Company: Trase Systems

🔧 Requirements

Proven experience in developing, optimizing, and deploying ML systems in production environments.
Strong background in building and managing end-to-end training pipelines.
Extensive knowledge and hands-on experience in fine-tuning large language models for specific use cases.
Proficiency in ML frameworks such as TensorFlow, PyTorch, or similar tools.
Proficient in Python for writing efficient, clean, and maintainable ML code.
Ability to distill complex ML concepts for both technical and non-technical audiences.
Bachelor’s or Master’s degree in Machine Learning, Computer Science, Data Engineering, or a related field.
A track record of implementing machine learning solutions that drive value.

💡 Responsibilities

Develop and deploy robust ML models that deliver high-impact results.
Design and implement efficient, scalable training pipelines for ML models.
Continuously fine-tune large language models for enterprise requirements.
Implement and refine feedback loops for ML model improvement.
Collaborate with product and business teams to translate requirements into ML solutions.
Stay updated with ML research and best practices to enhance ML infrastructure.
Mentor junior team members and foster continuous technical growth.
Communicate ML methodologies and results to non-technical stakeholders.

PythonMachine LearningPyTorchTensorflowCollaboration

Posted 4 months ago

Apply

🔥 ML Engineer

Posted 4 months ago

📍 Dubai, London

🏢 Company: Eqvilent👥 51-100 Finance

🔧 Requirements

Strong experience in machine learning.
Experience in developing and deploying machine learning pipelines and workflows, including data preprocessing, feature engineering, model training, and evaluation.
Strong analytical and problem-solving skills, as well as attention to details.

💡 Responsibilities

The task involves the development and upkeep of data pipelines for training and evaluating models.
Exploratory data analysis will be conducted to enhance model accuracy and performance.
Experiments and evaluations of machine learning models will be carried out to identify and address any issues.

PythonData AnalysisJavaJavascriptMachine LearningNumpyPandasCommunication SkillsAnalytical SkillsCollaboration

Posted 4 months ago

Apply