Machine Learning Engineer
Herndon, VA · Hybrid
We are seeking an earlycareer Machine Learning Engineer who is excited to grow rapidly by building ... Develop and maintain feature engineering pipelines, data preprocessing flows, and training ...
Machine Learning Engineer
Herndon, VA · Hybrid
We are seeking an earlycareer Machine Learning Engineer who is excited to grow rapidly by building ... Develop and maintain feature engineering pipelines, data preprocessing flows, and training ...
Machine Learning Engineer
Arlington, VA · On-site
$110K - $160K/yr
Strong background in both classical and modern (deep learning) machine learning, including model selection, architecting, training, validation, testing, and deployment * Machine learning experience ...
Machine Learning Engineer
Arlington, VA · On-site
$110K - $160K/yr
Strong background in both classical and modern (deep learning) machine learning, including model selection, architecting, training, validation, testing, and deployment * Machine learning experience ...
Machine Learning Engineer
Sterling, VA · On-site
Machine Learning Engineer Company: Heven AeroTech Location: Sterling, Virginia FLSA: Exempt About ... That's why we invest in your professional growth, offering robust training programs, leadership ...
Machine Learning Engineer
Sterling, VA · On-site
Machine Learning Engineer Company: Heven AeroTech Location: Sterling, Virginia FLSA: Exempt About ... That's why we invest in your professional growth, offering robust training programs, leadership ...
Machine Learning Engineer
Herndon, VA · On-site
We are seeking an early-career Machine Learning Engineer who is excited to grow rapidly by building ... Develop and maintain feature engineering pipelines, data preprocessing flows, and training ...
Machine Learning Engineer
Herndon, VA · On-site
We are seeking an early-career Machine Learning Engineer who is excited to grow rapidly by building ... Develop and maintain feature engineering pipelines, data preprocessing flows, and training ...
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Machine Learning Engineer
Herndon, VA · On-site +1
Practical experience training and deploying Machine Learning models. Ideal candidate would have experience with PyTorch, NumPy, TensorFlow, VS Code) * Understanding of machine learning techniques and ...
Machine Learning Engineer
Herndon, VA · On-site +1
Practical experience training and deploying Machine Learning models. Ideal candidate would have experience with PyTorch, NumPy, TensorFlow, VS Code) * Understanding of machine learning techniques and ...
Machine Learning Engineer
Chantilly, VA · On-site
Practical experience training and deploying Machine Learning models. Ideal candidate would have experience with PyTorch, PyTorch3D, NumPy, TensorFlow) * Understanding of machine learning techniques ...
Machine Learning Engineer
Chantilly, VA · On-site
Practical experience training and deploying Machine Learning models. Ideal candidate would have experience with PyTorch, PyTorch3D, NumPy, TensorFlow) * Understanding of machine learning techniques ...
Machine Learning Engineer
Chantilly, VA · On-site +1
Practical experience training and deploying Machine Learning models. Ideal candidate would have experience with PyTorch, PyTorch3D, NumPy, TensorFlow) * Understanding of machine learning techniques ...
Machine Learning Engineer
Chantilly, VA · On-site +1
Practical experience training and deploying Machine Learning models. Ideal candidate would have experience with PyTorch, PyTorch3D, NumPy, TensorFlow) * Understanding of machine learning techniques ...
Machine Learning Engineer
Herndon, VA · On-site
Practical experience training and deploying Machine Learning models. Ideal candidate would have experience with PyTorch, NumPy, TensorFlow, VS Code) * Understanding of machine learning techniques and ...
Machine Learning Engineer
Herndon, VA · On-site
Practical experience training and deploying Machine Learning models. Ideal candidate would have experience with PyTorch, NumPy, TensorFlow, VS Code) * Understanding of machine learning techniques and ...
Machine Learning Engineer, Data & Machine Learning (DML)
Arlington, VA · On-site +1
$131.70K - $158.20K/yr
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
Machine Learning Engineer, Data & Machine Learning (DML)
Arlington, VA · On-site +1
$131.70K - $158.20K/yr
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
Machine Learning Engineer, Data & Machine Learning (DML)
Arlington, VA · On-site
$131.70K - $158.20K/yr
... training, creating reusable AI/ML artifacts, and working with team members to prototype new ... machine learning/statistical modeling data analysis tools and techniques, and parameters that ...
Machine Learning Engineer, Data & Machine Learning (DML)
Arlington, VA · On-site
$131.70K - $158.20K/yr
... training, creating reusable AI/ML artifacts, and working with team members to prototype new ... machine learning/statistical modeling data analysis tools and techniques, and parameters that ...
Machine Learning Engineer, Data & Machine Learning (DML)
Arlington, VA · On-site +1
$131.70K - $158.20K/yr
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
Machine Learning Engineer, Data & Machine Learning (DML)
Arlington, VA · On-site +1
$131.70K - $158.20K/yr
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
Machine Learning Tutor
Laurel, MD · Remote
$40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Laurel, MD · Remote
$40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Rockville, MD · Remote
$40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Rockville, MD · Remote
$40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Fairfax, VA · Remote
$40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Fairfax, VA · Remote
$40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Leesburg, VA · Remote
$40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Leesburg, VA · Remote
$40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Bowie, MD · Remote
$40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Bowie, MD · Remote
$40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Alexandria, VA · Remote
$40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Alexandria, VA · Remote
$40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Washington, DC · Remote
$40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Washington, DC · Remote
$40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Temporary Machine Learning Trainer information
What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Trainer, and why are they important?
To thrive as a Temporary Machine Learning Trainer, you need a solid background in machine learning concepts, data analysis, and model evaluation, usually supported by a relevant degree or experience in computer science or a related field. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or scikit-learn), and educational tools is typically required. Strong communication, adaptability, and instructional skills help trainers effectively convey complex topics and respond to diverse learner needs. These skills ensure trainees gain practical knowledge and confidence, contributing to successful training outcomes and organizational goals.
What are some common challenges faced by Temporary Machine Learning Trainers, and how can they be managed effectively?
Temporary Machine Learning Trainers often face the challenge of quickly adapting to new team environments and rapidly understanding existing workflows. Additionally, they may need to balance delivering training sessions with handling updates to curriculum or technology. Effective communication with permanent staff and staying up-to-date with the latest machine learning tools can help manage these challenges. Being proactive in seeking feedback and clarifying expectations early on can also contribute to a smoother transition and more impactful training sessions.
What are Temporary Machine Learning Trainers?
Temporary Machine Learning Trainers are professionals hired on a short-term or contract basis to develop, implement, and refine machine learning models or to train teams in machine learning techniques. Their responsibilities often include preparing training data, selecting appropriate algorithms, and ensuring models are accurate and efficient. They may also provide guidance to organizations on best practices and help upskill employees in machine learning concepts. These roles are typically project-based and may last from a few weeks to several months, depending on organizational needs.
What is the difference between Temporary Machine Learning Trainer vs Data Scientist?
| Aspect | Temporary Machine Learning Trainer | Data Scientist |
|---|---|---|
| Credentials | Relevant certifications (e.g., AWS, Google Cloud), technical training | Advanced degrees (Master's or PhD) in data science, statistics, or related fields |
| Work Environment | Training sessions, workshops, corporate training settings | Data analysis, modeling, research environments, often in offices or labs |
| Employer & Industry Usage | Tech companies, educational institutions, consulting firms | Tech, finance, healthcare, research organizations |
While both roles involve working with data and machine learning, a Temporary Machine Learning Trainer primarily focuses on educating and training teams or clients on machine learning tools and concepts. In contrast, a Data Scientist develops models, analyzes data, and derives insights for decision-making. The roles differ mainly in their focus—training versus data analysis—though they share foundational technical skills.
What are popular job titles related to Temporary Machine Learning Trainer jobs in Washington? For Temporary Machine Learning Trainer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Trainer jobs in Washington look for? The top searched job categories for Temporary Machine Learning Trainer jobs in Washington are:
What cities in Washington are hiring for Temporary Machine Learning Trainer jobs? Cities in Washington with the most Temporary Machine Learning Trainer job openings:
AMETEK rating
7.9
Based on 43 frontline employees who took The Breakroom Quiz
50th of 137 rated electronics manufacturers
Job description
We are seeking an earlycareer Machine Learning Engineer who is excited to grow rapidly by building and deploying productiongrade ML systems. The ideal candidate has a strong engineering mindset, has contributed to shipping ML features or products endtoend, and is eager to take ownership across the full lifecycle-from data pipelines to model design to deployment, monitoring, and iteration in realworld environments.
This role offers handson exposure to applied ML, working with IoT datasets, user needs, and product requirements to build scalable solutions that deliver measurable customer ROI.
Responsibilities:
- Design, build, and deploy ML models into production environments, ensuring reliability, scalability, and performance.
- Ability to select and apply the appropriate ML approach for a given problem - including supervised learning (e.g., logistic regression, random forest, gradient boosting), unsupervised learning (e.g., clustering, dimensionality reduction), and deep learning techniques when appropriate.
- Develop and maintain feature engineering pipelines, data preprocessing flows, and training workflows.
- Collaborate with crossfunctional partners including product, data engineering, DevOps & QA to deliver endtoend ML solutions.
- Work with DevOps team to implement robust MLOps practices, including versioning, CI/CD for ML, monitoring/alerting, automated retraining, and model governance.
- Continuously evaluate and improve models by monitoring performance, identifying and addressing bias, detecting data or concept drift, and iterating on features, algorithms, or training processes to maintain reliability over time.
- Ensure solutions meet security, compliance, and data privacy standards.
- Document system architectures, modeling decisions, and operational procedures.
- Work in a high performing scrum team to deliver quality code for stakeholders.
Qualifications - Must Have Skills:
- 3+ years of professional experience as an ML Engineer, Applied Scientist, or Data Scientist with an emphasis on handson software engineering responsibilities, particularly around productionizing models.
- Demonstrated contributions to shipping ML models into production-not just prototypes-and supporting their maintenance over time.
- Proficiency in Python and ML frameworks such as PyTorch and Scikitlearn.
- Prior hands-on experience with cloud platforms (AWS, Azure, GCP) and ML services (e.g., SageMaker, Vertex AI, Azure ML).
- Familiarity with GenAI system components and architecture, including vector databases, LLM finetuning, embeddings pipelines, and retrievalaugmented systems (RAG).
- Experience with MLOps tooling: Docker, Kubernetes, MLflow, Feature Stores, CI/CD pipelines is preferred.
- Strong understanding of data structures, algorithms, software engineering fundamentals, and distributed systems concepts.
- Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Engineering, Mathematics, or a closely related quantitative field.
- This is a hybrid role in Herndon, VA and no relocation assistance is able to be provided.
Other Beneficial Skills:
- Familiarity with emerging Agentic AI concepts.
- Familiarity with Edge ML patterns.
- Experience working with large-scale data pipelines using Spark, Flink, Beam, or similar frameworks.
- Experience or demonstrated interest in Vision ML, with familiarity in common vision models and techniques for image classification, object detection, and segmentation.
- Knowledge of observability and monitoring tools for ML systems (Prometheus, Grafana, etc.)
- Experience with cloud infrastructure and managing resources in the cloud.
- Master's degree in a relevant field may be considered equivalent to up to 2 years of professional ML engineering experience, particularly when supported by handson coursework, research, internships, or realworld projects involving applied machine learning.
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About AMETEK
Sourced by ZipRecruiter
Industry
Manufacturing
Company size
10,000+ Employees
Headquarters location
Berwyn, PA, US