1,000+ matching jobs for “Associate Systems Engineer”

How results work

Exact titles rank first, then title variations and keywords in descriptions. These labels aren't qualification scores. Without keywords, recently added jobs appear first.

Verizon

HVAC Engineer

Elmira, New York, United States +1 location 2 postings

In person
Full time
Regular

Pay posted by employer$611–$2,198.50 per week

… of temperature and humidity control equipment. Performing inspections and making repairs on equipment/systems as required by company practices and/or regulations/ordinances. Reviewing and interpreting word orders, …

Added Oct 4, 2026

Save job

Verizon

HVAC Engineer

Patchogue, New York, United States +1 location 2 postings

In person
Full time
Regular

Pay posted by employer$658.50–$2,245.50 per week

… of temperature and humidity control equipment. Performing inspections and making repairs on equipment/systems as required by company practices and/or regulations/ordinances. Reviewing and interpreting word orders, …

Added Oct 4, 2026

Save job

Applied Materials

ETCH Customer Engineer I

Yokkaichi,JPN

include performing preventative and corrective maintenance on various systems such as electrical, vacuum, mechanical, plasma, hydraulic, and gas systems. Additionally, you'll coordinate …

Added Oct 28, 2026

Save job

Applied Materials

DDP Customer Engineer I

Yokkaichi,JPN

include performing preventative and corrective maintenance on various systems such as electrical, vacuum, mechanical, plasma, hydraulic, and gas systems. Additionally, you'll coordinate …

Added Oct 27, 2026

Save job

Applied Materials

IMPLANT Customer Engineer I

Chitose, Hokkaido, Japan 2 postings

include performing preventative and corrective maintenance on various systems such as electrical, vacuum, mechanical, plasma, hydraulic, and gas systems. Additionally, you'll coordinate …

Added Oct 27, 2026

Save job

Applied Materials

MDP Customer Engineer I

Chitose, Hokkaido, Japan

include performing preventative and corrective maintenance on various systems such as electrical, vacuum, mechanical, plasma, hydraulic, and gas systems. Additionally, you'll coordinate …

Added Oct 27, 2026

Save job

Applied Materials

MDP Customer Engineer I

Yokkaichi,JPN

include performing preventative and corrective maintenance on various systems such as electrical, vacuum, mechanical, plasma, hydraulic, and gas systems. Additionally, you'll coordinate …

Added Oct 27, 2026

Save job

Applied Materials

ETCH Customer Engineer I

Hiroshima, Hiroshima, Japan

include performing preventative and corrective maintenance on various systems such as electrical, vacuum, mechanical, plasma, hydraulic, and gas systems. Additionally, you'll coordinate …

Added Oct 27, 2026

Save job

Applied Materials

DDP Customer Engineer I

Yokkaichi,JPN 2 postings

include performing preventative and corrective maintenance on various systems such as electrical, vacuum, mechanical, plasma, hydraulic, and gas systems. Additionally, you'll coordinate …

Added Oct 27, 2026

Save job

TIAA

Lead Cloud Engineer

Chicago, Illinois, United States +3 locations

and Duties Assists in designing and implementing cloud-based information systems on AWS infrastructure by defining system scope, conducting research and feasibility studies, creating …

Added Oct 27, 2026

Save job

Becton Dickinson

Sr. Quality Engineer

USA MD - Hunt Valley

In person
Full time
Regular

Pay posted by employer$95,900–$153,400 USD

The Senior Quality Engineer ensures compliance with Quality System, ISO, and FDA requirements by developing and implementing SOPs, …

Added Oct 27, 2026

Save job

GE HealthCare Technologies

Advanced Manufacturing Engineer

Florence SC USA

Summary The Advanced Manufacturing Engineer (AME) is responsible for leading the development and implementation of manufacturing processes for new …

Added Oct 27, 2026

Save job

Fiserv

API Security Engineer

Berkeley Heights, New Jersey +2 locations

Full time
Regular

Pay posted by employer$110,000–$186,000

… Expert knowledge of and experience with maintaining cyber technologies that can protect operational API systems, such as: Traceable Salt Security NoName Bachelor’s degree in computer science, or a relevant field, or an …

Added Nov 3, 2026

Save job

Capital One Financial

Principal Associate, Data Scientist - LLM Customization Team

New York City, New York, United States +1 location

Principal Associate, Data Scientist - LLM Customization Team At Capital One, we think big and do big things. We are not just a …

Added Oct 27, 2026

Save job

AutoNation

Lead Software Engineer

AutoNation Headquarters

Full time
Regular

Pay posted by employer$120,000–$130,000

The Lead Software Engineer will develop, enhance, and implement application solutions to support the company’s need for improving …

Added Nov 3, 2026

Save job

Verizon

HVAC Engineer

New York City, New York, United States

In person
Full time
Regular

Pay posted by employer$806.50–$2,245.50 per week

… of temperature and humidity control equipment. Performing inspections and making repairs on equipment/systems as required by company practices and/or regulations/ordinances. Reviewing and interpreting word orders, …

Added Oct 4, 2026

Save job

Amgen

Machine Learning Engineer

India - Hyderabad

Role Description We are seeking an experienced Machine Learning Engineer to design, develop, deploy, and support scalable machine learning solutions. This role will develop …

Added Nov 4, 2026

Save job

Carrier Global

Associate Project Manager- Richmond, VA area

CAV20: ALC - Virginia, 4948 Dominion Boulevard, Glen Allen, VA, 23060 USA

Pay posted by employer$53,000–$106,000 per year

Automated Logic in Virginia has an opportunity for an Associate Project Manager . This role is an Entry-level Project management position that works closely with Project …

Added Oct 27, 2026

Save job

Mastercard

Associate Managing Consultant, Technical Program Management

Purchase, New York +3 locations

… Qualifications Basic Qualifications • Undergraduate degree in Computer Science, Information Systems, Engineering, Business, or a related field. • 3-6 years of experience in Technical Program Management, …

Added Oct 27, 2026

Save job

Land O'Lakes

Senior Controls Engineer

Virtual (USA)

Full time
Regular

Pay posted by employer$123,920–$185,880 per year

Senior Controls Engineer The Sr. Controls Engineer (supports several manufacturing plants) position will coordinate the design, …

Added Oct 27, 2026

Save job

Amgen

Machine Learning Engineer

India - Hyderabad

Save job

Basic Qualifications · employer excerpt

Master’s or Bachelor’s degree and 5–8 years of experience in Software Engineering, Data Science, Machine Learning Engineering, Computer Science, Information Technology, or a related field.
Preferred Certifications
AWS Certified Machine Learning Engineer – Associate or another relevant AWS certification.
AWS Certified Solutions Architect certification.
Databricks Machine Learning certification.

12 more in the full description below.

About this opportunity

Original employer description

Career Category

Engineering

Job Description

Role Description

We are seeking an experienced Machine Learning Engineer to design, develop, deploy, and support scalable machine learning solutions. This role will develop predictive models, build reusable machine learning pipelines, operationalize models through MLOps practices, and monitor model performance in production.

The ideal candidate has strong hands-on experience with machine learning algorithms, predictive modeling, forecasting, Python, feature engineering, model training and evaluation, AWS cloud services, and production ML operations. Experience developing Generative AI and Large Language Model applications is also preferred.

The candidate will collaborate with data scientists, data engineers, software engineers, product teams, and business stakeholders to deliver secure, reliable, and scalable machine learning solutions.

Roles and Responsibilities

Design, develop, train, evaluate, and deploy predictive machine learning models for time-series forecasting, classification, regression, anomaly detection, clustering, recommendation, and other business use cases.

Perform data exploration, preprocessing, feature engineering, feature selection, and model experimentation.

Select appropriate machine learning algorithms, forecasting methods, and evaluation metrics based on business and technical requirements.

Build reusable machine learning pipelines covering data ingestion, feature engineering, training, validation, deployment, monitoring, and retraining.

Develop forecasting solutions using historical data, time-series features, backtesting, and appropriate validation techniques.

Optimize model performance through hyperparameter tuning, cross-validation, experimentation, and error analysis.

Develop and maintain production APIs and services that expose machine learning capabilities to applications and downstream consumers.

Implement MLOps practices, including experiment tracking, model versioning, model registries, automated testing, CI/CD, and reproducible deployments.

Develop, deploy, and operate machine learning workloads primarily on AWS.

Develop monitoring and alerting solutions for model accuracy, forecast performance, data quality, drift, bias, latency, reliability, and infrastructure performance.

Establish automated or controlled model-retraining and deployment processes.

Conduct A/B testing and experimentation to evaluate model and application effectiveness.

Develop machine learning solutions that are scalable, secure, explainable, maintainable, and cost-efficient.

Implement responsible AI, security, privacy, access-control, and governance requirements.

Troubleshoot model, data, pipeline, application, and production-environment issues.

Develop Generative AI applications using Large Language Models and Retrieval-Augmented Generation where appropriate.

Build LLM solutions involving document processing, chunking, embeddings, vector search, prompt engineering, evaluation, and monitoring.

Collaborate with data scientists, data engineers, software engineers, DevOps teams, product teams, and business stakeholders.

Participate in technical design discussions, code reviews, sprint planning, backlog refinement, and estimation activities.

Maintain model documentation, technical specifications, operational procedures, and deployment standards.

Stay current with advances in machine learning, forecasting, MLOps, Generative AI, and cloud technologies.

Participate in production support activities, including occasional off-hours support.

Functional Skills

Must-Have Skills

Strong foundation in supervised and unsupervised machine learning algorithms, predictive modeling, statistical methods, and model evaluation.

Strong hands-on experience with Python and SQL.

Experience with machine learning libraries such as Scikit-learn, PyTorch, TensorFlow, XGBoost, or equivalent technologies.

Experience with data preprocessing, feature engineering, model selection, model training, hyperparameter tuning, and evaluation.

Hands-on experience developing predictive models and time-series forecasting solutions, including feature engineering, backtesting, model evaluation, and performance monitoring.

Experience developing and deploying production machine learning models.

Understanding of classification, regression, forecasting, clustering, anomaly detection, and recommendation techniques.

Experience implementing MLOps pipelines for model development, deployment, monitoring, versioning, and retraining.

Experience with experiment tracking, model registries, data versioning, and reproducible machine learning workflows.

Hands-on experience with cloud-based machine learning development and deployment, with AWS strongly preferred.

Experience with AWS services such as SageMaker, S3, Lambda, ECR, ECS, EKS, Step Functions, CloudWatch, or equivalent services.

Experience building APIs or services for machine learning models.

Experience with Git, CI/CD, automated testing, Docker, and software-engineering best practices.

Understanding of model monitoring, data drift, concept drift, bias, explainability, and model-performance degradation.

Strong analytical, debugging, troubleshooting, and problem-solving skills.

Ability to work effectively in Agile and cross-functional delivery teams.

Good-to-Have Skills

Experience with advanced time-series forecasting, natural language processing, computer vision, recommendation systems, or optimization models.

Experience with statistical forecasting methods and machine learning-based forecasting approaches.

Experience with Amazon SageMaker, MLflow, Databricks Machine Learning, Azure Machine Learning, Vertex AI, or equivalent platforms.

Experience with AWS-native MLOps architectures and services.

Experience with Kubernetes, infrastructure as code, and cloud-native deployment patterns.

Experience with feature stores, distributed model training, automated retraining, and model-serving platforms.

Experience with data engineering, ETL/ELT pipelines, Apache Spark, PySpark, or Databricks.

Experience with responsible AI, explainability, fairness, model-risk management, and AI governance.

Experience building applications using Large Language Models such as OpenAI GPT, Claude, Gemini, Amazon Bedrock models, or equivalent enterprise-approved models.

Experience with Retrieval-Augmented Generation, embeddings, vector databases, document processing, prompt engineering, and LLM evaluation.

Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or comparable AI application frameworks.

Experience with relational, NoSQL, analytical, or vector databases.

Experience with Azure or Google Cloud machine learning services is beneficial.

Experience delivering solutions within biotechnology, pharmaceutical, life sciences, manufacturing, or another regulated industry.

Basic Qualifications

Master’s or Bachelor’s degree and 5–8 years of experience in Software Engineering, Data Science, Machine Learning Engineering, Computer Science, Information Technology, or a related field.

Preferred Certifications

AWS Certified Machine Learning Engineer – Associate or another relevant AWS certification.

AWS Certified Solutions Architect certification.

Databricks Machine Learning certification.

Microsoft Azure AI Engineer, Azure Data Scientist, or Google Cloud Professional Machine Learning Engineer certification.

Relevant DevOps, Kubernetes, data engineering, or AI certification.

Soft Skills

Excellent analytical and troubleshooting skills.

Strong verbal and written communication skills.

Ability to work effectively with global and virtual teams.

High degree of initiative, ownership, and self-motivation.

Ability to manage multiple priorities successfully.

Team-oriented mindset with a focus on achieving shared goals.

Strong presentation and public-speaking skills.

Ability to explain machine learning models, forecasts, and results to technical and non-technical stakeholders.

Strong attention to detail and commitment to quality and responsible AI practices.

.

Why this result? · Employer labels

Keywords also found in description

Location reference: GeoNames (CC BY 4.0), normalized by Referizz.