1,000+ matching jobs for “Experienced 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.

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 …

Added Nov 4, 2026

Save job

Amgen

… of innovation, using technology and human genetic data to push beyond what’s known today. Specialist IS Engineer What you will do Amgen India will be an integral part in driving growth & innovation, improving efficiency …

Added Oct 15, 2026

Save job

KLA

System Design Engineer

Hillsboro, Oregon, United States

Pay posted by employer$115,900–$197,000 per year

… and corrective actions are implemented effectively Provide sustained engineering support for field systems to enable successful customer adoption, long‑term product sustainability, and high customer satisfaction …

Added Oct 20, 2026

Save job

Warner Bros. Discovery

Staff Software Engineer

WA Bellevue 205 108th Avenue NE, Suite S200

Hybrid
Full time
Regular

Pay posted by employer$165,690–$307,710 per year

… is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the …

Added Oct 27, 2026

Save job

Accendra Health

Sr Cybersecurity Engineer

3610 Accendra India

Full time

The Senior Cybersecurity Engineer is a highly experienced security professional responsible for designing, implementing, and continuously …

Added Oct 27, 2026

Save job

KLA

Product Install Engineer

Shanghai, Shanghai, China

… and confidentially handle your information. About KLA We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex …

Added Oct 27, 2026

Save job

Air Products & Chemicals

Senior Process Engineer

Al Jubayl, Eastern Province, Saudi Arabia

Full time

… hydrogen, syngas, CO and CO₂. Nature & Scope Reporting to the BHIG Engineering Manager, the Senior Process Engineer – HYCO provides day-to-day operational and technical support to Regional Sites through systematic …

Added Nov 3, 2026

Save job

KLA

Staff Optical Engineer

Milpitas, California, United States

Full time
Regular

Pay posted by employer$141,300–$207,233 per year

… and improve incoming material quality. Lead to resolve complex problems for both prototype and released systems. Preferred Qualifications Solid background in optics such as imaging system aberrations, Fourier optics, …

Added Oct 15, 2026

Save job

Guardian Life Ins. Co. of America

Lead Software Engineer

Bethlehem, Pennsylvania, United States +2 locations

Full time

Pay posted by employer$99,150–$162,885

… absence functionality across multiple workstreams. You are A self-starter, continuous learner and experienced technical leader who is able to transform abstract ideas into actionable customer solutions, partnering …

Added Oct 29, 2026

Save job

Analog Devices

Senior Digital Design Engineer

Munich, Bavaria, Germany

As a Senior Digital Design Engineer, you will drive technical strategy and innovation for complex digital systems, including System on Chips …

Added Nov 3, 2026

Save job

Motorola Solutions

Operations Engineer ENR

Melbourne, Victoria, Australia +1 location

Full time

Job Description Primarily responsibility for the overall technical operation and maintenance of systems and subsystems of the Dimetra and Motorola Astro P25 and MOTOTRBO systems across Australia, New Zealand and …

Added Nov 3, 2026

Save job

KLA

Customer Support Engineer

Austin, Texas, United States 3 postings

Full time
Regular

Pay posted by employer$33.75–$49.00 per hour

… Texas Join KLA and Help Power the Future of Semiconductor Technology KLA is seeking a Customer Support Engineer (CSE) to support our advanced Surfscan inspection systems at leading semiconductor manufacturing …

Added Oct 15, 2026

Save job

KLA

NPI Product Engineer

Milpitas, California, United States

Full time
Regular

Pay posted by employer$95,000–$139,333 per year

… business priorities by delivering high-impact work across your area of expertise. As a NPI Product Engineer the responsibilities would include the following: Gain a systems engineering level knowledge of highly …

Added Oct 15, 2026

Save job

Motorola Solutions

Escalations Engineer

Uxbridge, England, United Kingdom

Full time

… Solid experience in software engineering, technical support escalations, network troubleshooting, or systems diagnostics Job Requirements Technical Expertise Full-Stack Troubleshooting to diagnose issues across …

Added Nov 3, 2026

Save job

KLA

Optical Engineer

Milpitas, California, United States

Full time
Regular

Pay posted by employer$117,800–$172,800 per year

… travel with short notice up to 20% is required. About KLA We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex …

Added Oct 15, 2026

Save job

Comfort Systems USA

Manufacturing Engineer III

Houston, TX (TAS-Robin )

Full time
Regular

… driving improvements achieving significant savings and profits. Relevant experience in a make to order/engineer to order project environment. MINIMUM REQUIREMENTS: Minimum of 10 years of experience as Manufacturing …

Added Oct 27, 2026

Save job

Johnson & Johnson

Staff Manufacturing Engineer

Groningen, The Netherlands

… Johnson & Johnson's Family of Companies. The Manufacturing Engineering, Automation department is seeking an experienced Staff Manufacturing Engineer with speciality in automation and OT to support automation, equipment …

Added Oct 20, 2026

Save job

KLA

Applications Development Engineer

Milpitas, California, United States

Full time
Regular

Pay posted by employer$97,800–$143,467 per year

… quality, and compliance. Guide technical strategy for power distribution, UPS, generators, transfer systems, and other critical power infrastructure. Partner with cross-functional teams to improve resiliency, …

Added Oct 15, 2026

Save job

Northrop Grumman

Principal Software Engineer

United States-Oklahoma-Oklahoma City

Pay posted by employer$93,300–$139,900

… Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and …

Added Nov 3, 2026

Save job

Motorola Solutions

Project Sales Engineer

Allen, Texas, United States +9 locations

Full time

Pay posted by employer$65,000–$75,000 USD

As a Project Sales Engineer you are responsible for delivering end-to-end system solutions as a subject matter expert to customers …

Added Nov 3, 2026

Save job

Amgen

Machine Learning Engineer

India - Hyderabad

View job

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.