Machine Learning Engineer
SweedSalary not specified
Full Time
Mid-level (3 to 4 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, RetailIndustries
Requirements
- Advanced proficiency in programming languages such as Python or Java, with a proven track record of delivering production-grade ML solutions
- Experience designing, developing, and operationalizing ML systems in a cloud environment
- Strong 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)
- Proficient in SQL and modern data engineering practices
- Skilled in version control (Git) and agile software development
- 5+ years of industry experience in machine learning engineering or related fields
- Strong communication and collaboration skills
- Passion for MLOps, cloud technologies, 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
- Build and maintain scalable ML pipelines and infrastructure using modern cloud platforms (e.g., GCP, AWS, Azure) and orchestration tools (e.g., Kubernetes, Docker, Airflow)
- Develop robust API-based services and distributed systems for ML applications
- Work closely with data scientists, software engineers, product managers, and DevOps teams to streamline model development and deployment
- Apply software engineering best practices, including API design, automated testing, CI/CD, and observability for ML-driven systems
- Contribute to innovation in MLOps, cloud-native technologies, and scalable AI infrastructure
- Mentor junior engineers and promote a culture of technical excellence
- Communicate technical concepts clearly to both technical and non-technical stakeholders
Skills
Python
Java
Machine Learning
MLOps
GCP
AWS
Azure
Kubernetes
Docker
Airflow
SQL
Git
CI/CD
API Design
Feature Engineering
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.
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