Machine Learning Engineer
SweedSalary not specified
Full Time
Mid-level (3 to 4 years)
Not SpecifiedCompensation
Expert & Leadership (9+ years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, RetailIndustries
Requirements
- Expert-level proficiency in programming languages such as Python or Java, with a strong track record of delivering production-grade ML solutions
- Proven experience designing, developing, and operationalizing ML systems in a cloud environment
- Deep understanding of machine learning principles, model families (e.g., tree-based, deep learning), and practical challenges (e.g., data quality, bias, drift)
- Experience with containerization (Docker), orchestration (Kubernetes), and workflow management (Airflow or similar)
- Strong working knowledge of SQL and modern data engineering practices
- Proficient in version control (Git) and agile software development
- 8+ years of industry experience in machine learning engineering or related fields, with demonstrated leadership in complex projects
- Excellent communication and collaboration skills
- Passion for innovation, MLOps, and scalable AI systems
Responsibilities
- Design, develop, and deploy end-to-end machine learning systems, including data ingestion, feature engineering, model training, deployment, and monitoring
- Architect and implement scalable ML pipelines and infrastructure, leveraging modern cloud platforms (e.g., GCP, AWS, Azure) and orchestration tools (e.g., Kubernetes, Docker, Airflow)
- Build and maintain robust API-based services and distributed systems for ML applications
- Collaborate with data scientists, software engineers, product managers, and DevOps teams to streamline model development, deployment, and lifecycle management
- Ensure best practices in software engineering, including API design, automated testing, CI/CD, and observability for ML-driven systems
- Drive innovation in MLOps, cloud-native technologies, and scalable AI infrastructure
- Mentor and guide junior engineers, fostering a culture of technical excellence and continuous learning
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders
Skills
Python
Java
Machine Learning
MLOps
Kubernetes
Docker
Airflow
GCP
AWS
Azure
CI/CD
Feature Engineering
Model Training
API Design
Distributed Systems
Walmart
Global retail chain offering affordable products
About Walmart
Walmart operates a chain of hypermarkets, discount department stores, and grocery stores, providing a wide variety of products at low prices to everyday consumers, families, and communities. The company combines physical retail locations with an e-commerce platform, allowing customers to shop for groceries, apparel, electronics, and household items both in-store and online. Walmart's efficient supply chain management and large-scale purchasing enable it to maintain affordability, setting it apart from competitors. The company also offers financial services and health and wellness services, including pharmacies and vision centers. Walmart's goal is to save people money and support communities, as demonstrated by its efforts during the COVID-19 pandemic and its commitment to social responsibility, including programs for veterans and military families.
Bentonville, ArkansasHeadquarters
1962Year Founded
$5,515MTotal Funding
IPOCompany Stage
Financial Services, Consumer GoodsIndustries
10,001+Employees
Benefits
PTO: Paid vacation, sick time, personal time and holiday time
10% discount on regularly priced general merchandise and fresh fruits and vegetables
6% 401(k) match to all employees, including hourly workers, after one year
Roth IRA available
Associate Stock Purchase Plan
maximum and eligible preventive care covered at 100%
Health reimbursement plans
Risks
Rising U.S. labor costs could pressure profit margins.
Amazon's grocery delivery expansion threatens Walmart's market share.
Fintech investments expose Walmart to financial regulatory risks.
Differentiation
Walmart's omnichannel strategy integrates physical and online retail seamlessly.
The company offers a wide range of products at consistently low prices.
Walmart's commitment to community support enhances its brand reputation.
Upsides
Walmart's investment in fintech expands its financial services offerings.
Robotics integration in distribution centers boosts operational efficiency.
Culturally themed product lines attract diverse customer segments.
Related Jobs
RemoteRemoteSenior MLOps Engineer
TRM LabsSalary not specified
- Full Time
- Senior (5 to 8 years)
RemoteAI Engineer
BiorenderSalary not specified
- Full Time
- Mid-level (3 to 4 years)
RemoteApplied Scientist
KoBold MetalsSalary not specified
- Full Time
- Senior (5 to 8 years), Expert & Leadership (9+ years)
RemoteSenior Machine Learning Engineer - Machine Learning Infrastructure
FlipSalary not specified
- Full Time
- Senior (5 to 8 years)
RemoteStaff Machine Learning Engineer
AngiSalary not specified
- Full Time
- Expert & Leadership (9+ years)
RemotePrincipal Software Engineer, AI Cloud
DockerSalary not specified