V2Soft
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Information Technology Support Services · 1001 to 5000 Employees · Bloomfield Hills, US
Hiring: Engineering
What employees say
+ Nothing . The only thing good teammates...
− Worst manager and management. There is no learning in this organisation
More reviews on the company profile.
Interview experience · Junior Javascript Developer
It was good, Questions were asked based on the thing which we have mentioned in the resume ,And most of the questions were asked from the Core Java Concepts and It was good
Average difficulty · Bengaluru · 29 reports
More interview insightsJob description
Overview
Role & responsibilities
Responsibilities
- Design, train, validate, and deploy machine learning models for data-quality anomaly detection, attribution, and signal generation.
- Develop and maintain ML pipelines using GCP, Vertex AI, and BigQuery/BigQuery ML.
- Integrate ML outputs with DBT models and data-quality scorecards.
- Implement MLOps best practices including model versioning, reproducible experiments, feature engineering documentation, model monitoring, and drift detection.
- Build scalable ETL/ELT pipelines to ingest, transform, and load dealer data into cloud data warehouses.
- Develop and maintain DBT models for data transformation, testing, and documentation.
- Design and maintain robust Airflow/Astronomer DAGs with alerting, retries, and SLA monitoring.
- Work with large-scale datasets using Python, SQL, PySpark, BigQuery, and GCP services.
- Partner with Product Owners, Analytics, and Engineering teams to identify ML use cases and translate business requirements into technical solutions.
- Analyze model performance and provide clear recommendations on ML solution feasibility and deployment.
- Follow strong software engineering practices including TDD, CI/CD, Git, code reviews, and pair programming.
- Participate in Agile ceremonies, PI Planning, sprint planning, and technical discussions.
- Maintain technical documentation for ML models, data pipelines, features, and processes.
- Troubleshoot data, pipeline, model, and production issues and drive them to resolution.
Qualifications
- 4+ years of overall IT experience with 3+ years of software development experience.
- Strong hands-on experience with Python.
- Strong understanding of Machine Learning and AI/ML concepts.
- Strong analytical and problem-solving skills.
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
- Python
- Machine Learning / AI/ML
- Scikit-learn
- PyTorch / TensorFlow
- ML Model Development & Deployment
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Job application FAQ
Last updated 4 October 2026
- How do I apply for Machine Learning Engineer AI/ML, GCP & MLOps at V2Soft?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. V2Soft may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Machine Learning Engineer AI/ML, GCP & MLOps role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Machine Learning Engineer AI/ML, GCP & MLOps remote or on-site in Chennai, Tamil Nadu?
- This listing is marked on_site with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Machine Learning Engineer AI/ML, GCP & MLOps role at V2Soft?
- This is a mid-level Machine Learning Engineer AI/ML, GCP & MLOps role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.