Data Scientist - Machine Learning Models

Job Title : Data Scientist GCP | AI/ML | Cost Analysis

Client : Ford Motor Company

Employment Type : Full-time (Contract via Tekwission 1.5 Years)

Location : Chennai (On-site)

Payroll Company : Tekwission

Domain : Automotive / Manufacturing / Mobility / AI & Cloud

Notice Period : Immediate Joiners Preferred

About the Role :

- Build, train, and deploy end-to-end machine learning models to support cost optimization, predictive analytics, and operational efficiency.

- Leverage Google Cloud Platform (GCP) tools like BigQuery, Vertex AI, Cloud Functions, and Dataflow for data processing and model deployment.

- Perform exploratory data analysis (EDA), statistical modeling, and feature engineering using Python.

- Develop MLOps pipelines and automate workflows for production-ready ML solutions.

- Collaborate with cross-functional teams including data engineers, product owners, and domain experts to align technical solutions with business goals.

- Optimize ML models for performance, scalability, and cost-effectiveness in a cloud-native environment.

- Communicate insights and model results effectively to stakeholders using dashboards and visual reports.

Technical Skills Required :

- Languages & Frameworks : Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch

- Cloud Platforms : Hands-on experience with Google Cloud Platform (GCP) is mandatory

- BigQuery, Vertex AI, Cloud Storage, Cloud Functions, Dataflow, AI Platform

- ML/AI : Supervised and unsupervised learning, regression, classification, clustering, time series forecasting, model evaluation

- Cost Analysis Techniques : Predictive cost modeling, financial data analysis, optimization models

- Data Handling : ETL, data wrangling, pipeline creation, large-scale data analysis

- Tools & Libraries : Jupyter Notebook, Git, Airflow (preferred), GCP SDK, Google Colab

- Visualization : Tableau, Looker, Power BI, Matplotlib, Seaborn

- MLOps & Deployment : CI/CD for ML, model versioning, containerization (Docker is a plus)

Preferred Qualifications :

- Bachelors or Masters degree in Computer Science, Data Science, Statistics, or related field

- 2+ years of professional experience in data science and machine learning

- Automotive or manufacturing domain experience is a plus

- Exposure to cost forecasting models, KPI tracking, and business dashboards

- Prior experience with end-to-end ML model lifecycle in a cloud environment

Why Join?

- Work with Ford, a globally recognized MNC in the automotive industry

- Exposure to real-world AI/ML use cases in cost optimization and smart manufacturing

- Long-term contract with stable, full-time work environment

- Opportunity to work on cutting-edge cloud and AI technologies with experienced professionals