371 matching jobs for “Associate Software 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.

Auto-Owners Insurance

IT Performance Testing Analyst

Lansing, Michigan, United States

Full time

… The position requires the person to: Read, analyze and interpret performance testing requests. Work with software developers, business analysts, quality analysts, project managers, architects, and HR leadership to …

Added Nov 3, 2026

Save job

Visa

SW Engineer

Singapore, Singapore

… global team responsible for the delivery of features in the Resolve Online program. We are seeking an Associate Software Engineer to join the Visa Resolve Online (VROL) Engineering team. You will contribute to the development of …

Added Oct 27, 2026

Save job

Walmart

SENIOR, DATA SCIENTIST (Computer Vision)

IN KA BANGALORE Home Office PW II

… emerging technology to support millions of customers, associates, and stakeholders worldwide. Each time an associate turns on their laptop, a customer makes a purchase, a new supplier is onboarded, the company closes the …

Added Oct 27, 2026

Save job

The Cigna Group

Software Engineering Lead Analyst - HIH - Evernorth

Hyderabad, Telangana, India

Full time
Regular

… Cloud Experience (AWS/Azure) Preferred Skills, Experience & Education: Cloud Certification (AWS Developer Associate or similar) About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, …

Added Oct 16, 2026

Save job

Walmart

Staff, Product Manager

IN KA BANGALORE Home Office PTPP1

… life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading …

Added Oct 27, 2026

Save job

Nvidia

Manager, Data and AI Engineering

Santa Clara, California, United States

… in Computer Science or Information Systems, or equivalent experience 10+ overall years in Data Engineering, Software Engineering, or web application development, with at least 4+ years specifically in a leadership or …

Added Oct 27, 2026

Save job

Nvidia

Manager, Data and AI Engineering

Santa Clara, California, United States

Added Oct 27, 2026

Save job

Fiserv

Software Architecture - Advisor II

Jacksonville, Florida, United States

Full time
Regular

… resilient backend services and APIs. Provide technical leadership and architectural guidance across complex software initiatives. Collaborate across engineering, architecture, product, and operations teams to define …

Added Nov 3, 2026

Save job

Visa

SW Engineer

Singapore, Singapore

Hybrid

… curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Associate Software Engineer at Product Reliability Engineering team, you will be an integral part of a multi-functional full stack …

Added Oct 27, 2026

Save job

Fiserv

Senior Cloud Platform Engineer

Berkeley Heights, New Jersey +1 location

Full time
Regular

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

… Experience developing backend services. Competency in data structures, algorithms, operating systems, and software design. Aptitude for diagnosing technical issues, debugging code, and automating routine tasks. Experience …

Added Nov 3, 2026

Save job

Walmart

Senior Product Manager

IN KA BANGALORE Home Office PTPP1

Added Oct 27, 2026

Save job

Becton Dickinson

Product Security Engineer - Embedded

USA CA - Irvine Laguna Canyon

In person
Full time
Regular

Pay posted by employer$105,500–$168,800 USD

Summary: The Product Security Engineer (Embedded) is responsible for supporting the security of BD's physical, IoT, and embedded medical devices – …

Added Oct 27, 2026

Save job

Fiserv

Software Development Engineering - Advisor I

Alpharetta, Georgia, United States +2 locations

Full time
Regular

Pay posted by employer$90,000–$158,400

… using Typescript, React, Node.js 22, Tailwind CSS, pnpm, Nginx, Docker Effective usage of AI for Software Engineering – Design/Coding/Code review/Debugging Hands-on working experience in Azure, AFD, Apache, …

Added Nov 3, 2026

Save job

Walmart

SENIOR ANALYST, FINANCE

IN KA BANGALORE Home Office Building 10

Added Oct 27, 2026

Save job

Capital One Financial

Software Engineering Manager

London, England, United Kingdom

Capital One is looking for a Software Engineering Manager to join us in our London office. You will have previous experience of leading a …

Added Oct 27, 2026

Save job

Capital One Financial

Software Engineering Manager

Nottingham, England, United Kingdom

Capital One is looking for a Software Engineering Manager to join us in our Nottingham office. You will have previous experience of leading a …

Added Oct 27, 2026

Save job

Danaher

Lead AI Edge, Devices & Mobile Engineer

Kraków, Lesser Poland, Poland

Regular

… Solution & Architecture to build, industrialise and scale trusted, reusable AI solutions. Mentor and guide software engineers, fostering engineering excellence and innovation. Collaborate with product managers, UX …

Added Oct 15, 2026

Save job

Amgen

Mulesoft Engineer

India - Hyderabad

Full time
Regular

… technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description: The Associate Software Engineer, MuleSoft is responsible for designing, developing, and maintaining software applications and solutions on …

Added Oct 15, 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

Lowe's

Exploratory Software Engineering - Undergrad Internship - Summer 2027

Lowe's Charlotte Technology Hub 3505

… if you find a position you’re interested in below, we encourage you to apply! Your Impact As an Exploratory Software Engineer Intern at Lowe’s, you’ll work on emerging technologies and innovative ideas that could shape the …

Added Oct 27, 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.