AmbitionBox
Search
Jobs
- Reviews
- Salaries
- Interview Questions
- About Company
- Benefits
- Jobs
- Office Photos
- Community
Add office photos
All Filters
56 General Mills Jobs
Sr. D&T Machine Learning Engineer
General Mills
posted 8hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Purpose of the role
General Mills, Digital and Technology India, is seeking Sr Machine Learning Engineer to join the Enterprise Data Capabilities Organization. This team builds enterprise level scalable and sustainable data and model pipelines to serve the analytic needs of business impacting problem statements. In this role, you are a critical member of the data science team focused to operationalize the ML and AI models, entails model management and monitoring too. The success is to recommend innovative ways to automate the MLOps pipelines on GCP and set standards that would ensure repeated success.
This capability is leveraged to fuel advanced Analytical solutions, Machine Learning and Deep Learning . It is also responsible for implementing and enhancing community of practice to determine the best practices, standards, and MLOps frameworks to efficiently delivery enterprise data solutions at General Mills.
This role works in close collaboration with Data Scientists, Data Engineers, Platform Engineers and Tech Expertise to support the analytic consumption needs. Enhances the performance of the models and automates the production pipelines to gain efficiency.
KEY ACCOUNTABILITIES
Establish and Implement MLOps practices:
- Development of end-to-end MLOps framework and Machine Learning Pipeline using GCP, Vertex AI and Software tools
- Management of data pipelines including config, ingestion and transformation from multiple data source like Big Query, Dbt & Google cloud storage etc
- Meta Data and statistics Data pipeline setup using GCP Bucket and MLMD
- Re-Training and Monitoring Pipeline setup with multiple criteria Vertex AI
- Serving Pipeline with multiple creation Vertex AI and GCP services
- Resource and Infra Monitoring configuration and pipeline development using GCP
- Automated pipeline Development for Continuous Integration (CI)/Continuous Deployment (CD) Continuous Monitoring (CM)/Continuous Training (CT) using GCP-native tool
- Branching strategies and Version Control using GitHub
- ML Pipeline orchestration and configuration using
- DAG and Workflow orchestration using airflow/cloud
- Code refactorization & coding best practices implementation as per industry standard
- Technology-Stack suggestion based on 360 Deg
- Implementing MLOps practices on project and follow the set MLOps
- Support the ML models throughout the E2E MLOps lifecycle from development to maintenance
Architecture:
- Micro Services Architecture and framework Development concept
- Agile software Development concept
- Architecture Design for HLD, LLD and Solution design
Team Mentoring:
- Programming language Pattern Design implementation
- Review projects PR and PBIs and suggestion for improvement
- Knowledge sharing session with team for specific ML Ops
- Guide/Mentor team members for MLOps framework development
Research, Evolve and Publish best practices:
- Research and operationalize technology and processes necessary to scale ML Ops
- Ability to research and recommend MLOps best practices on new technologies, platforms, and
- MLOps pipeline improvement plan and suggestion
Communication and Collaboration:
- Collaborate with technical teams like Data Science Lead, Data Scientist, Data Engineer and Platform
- Knowledge sharing with the broader analytics team and stakeholders is
- Communicate on the on-goings to embrace the remote and cross geography
- Align on the key priorities and focus
- Ability to communicate the accomplishments, failures, and risks in timely manner.
- Continually invest in your own knowledge and skillset through formal training, reading, and attending conferences and meetup
- Document MLOps Process, Development, Architecture & Innovation etc and be instrumental in reviewing the same for other team members
MINIMUM QUALIFICATIONS
- Total experience required 10-12 yrs
- Min qualification - Bachelors degree (full time)
- Expertise and at least 5yrs of professional experience in MLOps E2E framework
- Expertise in Data Transformation and Manipulation through Big-Query/SQL
- Professional experience Vertex AI and GCP Services
- Expertise in one of the programming Language Python/R
- Airflow/Cloud composer Experience
- Kubernetes/Kubeflow Experience
- MLflow Professional experience
- TFX Professional experience
- Docker -container Experience
- At least 5yrs of professional experience in the related field of Data Science
- Strong communication skills both verbal and written including the ability to interact effectively with colleagues of varying technical and non-technical
- Passionate about agile software processes, data-driven development, reliability, and systematic
Expert level
ML Ops E2E framework
Big Query/SQL
Python / R
Vertex AI and GCP Services
Docker-Container
Kubeflow/Kubernetes
TFX
Airflow
MLflow
GitHub
Strong communication skills
Intermediate level
Machine Learning and Deep Learning algorithms
Agile techniques
Demonstrates teamworking skills.
Mentor others and lead best practices.
Micro Services concept
Power BI, Tableau, Looker
Basic Level
Good to have domain knowledge: Consumer Packed Goods industry and data sources
Analytic toolset- dbt, atscale, neo4j, Atlassian
PREFERRED QUALIFICATIONS
- GCP certifi ca tion
- Understanding of CPG industry
- Bcsic understanding of dbt
- AutoML Concept
- Machine Learning -Concept of Algorithms
- Deep Learning- Concept of Algorithms
- Time Series Analysis- Concept of Algorithms
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Machine Learning Engineer roles with real interview advice
What people at General Mills are saying
Machine Learning Engineer salary at General Mills
reported by
1
employee
with 2
years exp.
₹17.1
L/yr - ₹21.9
L/yr
92%
more
than the average Machine Learning Engineer Salary in India
View more details
What General Mills employees are saying about work life
based on 739 employees
Flexible timing
Monday to Friday
No travel
Day Shift
General Mills Benefits
View more benefits
Compare General Mills with
Kellogg
Compare
Nestle
Compare
Britannia
Compare
ITC
Compare
Hindustan Unilever
Compare
Marico
Compare
Dabur
Compare
Godrej Consumer Products
Compare
Adani Wilmar
Compare
Patanjali Ayurved
Compare
Amul India
Compare
PepsiCo
Compare
Cargill
Compare
Mother Dairy Fruit & Vegetable
Compare
Heritage Foods
Compare
Mondelez International
Compare
Perfetti Van Melle
Compare
Parag Milk Foods
Compare
Bunge India
Compare
ITC Limited Foods Division
Compare
Share an Interview