Albertsons Companies India
Website:
albertsonsmarket.com
Company:
https://www.linkedin.com/company/albertsons-companies-india
Industries: Retail
Job details:
About Albertsons Companies Inc.:
As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week. We build and shape technology solutions that solve customers’ problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.
Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.
About Albertsons Companies India:
At Albertsons Companies India, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company’s technology journey to support millions of customers’ lives every day.
At the Albertsons Companies India, we are raising the bar to grow across Technology & Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons Companies India, associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.
Engineer Machine Learning
ROLE SUMMARY:
Individual contributor responsible for developing, testing, and supporting machine learning components of the AIOps platform. Works under the guidance of senior engineers to build models, prepare data, and integrate ML services into observability workflows. This is a junior-to-mid-level role requiring 1–3 years of hands-on experience.
KEY RESPONSIBILITIES:
- Assist in designing and developing ML models for anomaly detection, alert classification, and forecasting.
- Build and maintain data preprocessing and feature engineering pipelines.
- Support model training, validation, and performance evaluation against defined metrics.
- Integrate ML microservices with observability platforms, APIs, and event systems.
- Monitor model behavior in staging and production environments and report deviations.
- Document model logic, experiments, training parameters, and deployment procedures.
- Collaborate with data, platform, and SRE teams to resolve data quality and inference issues.
- Adopt MLOps best practices for versioning, reproducibility, and code quality.
REQUIRED QUALIFICATIONS:
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
- 1–3 years of experience in software engineering, data science, or machine learning.
- Proficiency in Python and common ML libraries (scikit-learn, Pandas, NumPy).
- Basic understanding of the ML lifecycle: training, validation, inference, and evaluation.
- Familiarity with SQL and relational data manipulation.
- Exposure to REST APIs, microservices concepts, and Git version control.
MANDATORY SKILLS:
- Python programming for data science and machine learning
- scikit-learn, Pandas, NumPy, and foundational feature engineering
- SQL and relational data querying for analysis and feature extraction
- Data preprocessing, cleaning, and exploratory data analysis
- Basic model training, validation, and evaluation metrics (precision, recall, RMSE, etc.)
- REST API integration and Git-based collaborative development
- Docker fundamentals and containerized local development
- Understanding of observability data types: logs, metrics, traces, and alerts
PREFERRED QUALIFICATIONS:
- Exposure to deep learning frameworks (PyTorch or TensorFlow).
- Experience with time-series analysis or statistical anomaly detection.
- Familiarity with MLOps tools (MLflow, Kubeflow) and CI/CD pipelines.
- Knowledge of OpenTelemetry and monitoring platforms such as Grafana or Prometheus.
- Experience with NoSQL databases or vector stores.
- Coursework or certifications in machine learning, statistics, or cloud technologies.
KEY SKILLS:
- Python, scikit-learn, Pandas, SQL
- Data preprocessing, feature engineering, model evaluation
- REST APIs, Docker, Git, observability fundamentals
Click on Apply to know more.