CHENNAI · FULLTIME
Machine Learning Engineering Engineer II
TekWissen India
Chennai · onsite · Posted 48d ago
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Not disclosed4–6 yrsfulltimeChennai
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Section · 01
About this role
Overview
TekWissen is a global workforce management provider throughout India and many other countries in the world. The below client is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet
Job Title: Machine Learning Engineering Engineer II
Location: Chennai
Work Type: Hybrid (4 Days work From Office)
Position Description
TekWissen is a global workforce management provider throughout India and many other countries in the world. The below client is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet
Job Title: Machine Learning Engineering Engineer II
Location: Chennai
Work Type: Hybrid (4 Days work From Office)
Position Description
- Design, train, and deploy ML models for data-quality anomaly detection and for attribution / signal generation on the client's service and repair-order data
- Build and maintain ML pipelines on GCP (Vertex AI, BigQuery ML) and integrate ML outputs back into DBT models and the DCDS data-quality scorecard
- Champion MLOps best practices — model versioning, reproducible experiments, drift/quality monitoring, and documented feature engineering
- Partner with Product Owners, Analytics, and Service Engineering to define ML use cases tied to business outcomes and present clear go/no-go recommendations
- Design and build ETL/ELT pipelines on GCP to ingest, transform, and load the client's dealer data into the data warehouse at scale
- Develop and maintain DBT models for transformation, testing, and documentation; apply warehouse-first patterns for the store 100% of dealer data approach
- Orchestrate pipelines using Astronomer / Airflow — robust DAGs with alerting, retry logic, and SLA monitoring
- Exhibit good software engineering and design practices, analytical skills in resolving issues, and documentation
- Comfortable with DevOps, CI/CD, Pair Programming, and TDD
- Participate in Agile ceremonies and PI Planning; deliver high-quality products on-time
- AI/ML, Scikit-learn, PyTorch, TensorFlow, LLM
- ETL, Big Query, Data Flow, Python, Airflow PySpark, SQL, GCS, GitHub, CI/CD, Dynatrace
- Engineer II Exp.: Practitioner: 1 coding language or framework.
- 4+ years in IT; 3+ years in development
- Bachelor's Degree
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Section · 02
Skills
GithubDynatraceapache airflowbigqueryLarge Language Models (LLMs)PytorchTensorflowScikit-LearnGoogle DataFlowPysparkPythonSQLETLCi/CdArtificial IntelligenceMachine LearningGCS