Data Scientist
Chennai, Tamil Nadu, India
Ford Motor Company
Since 1903, we have helped to build a better world for the people and communities that we serve. Welcome to Ford Motor Company.Looking for an experienced Data Scientist- Gen AI with good understanding of LLMs, Gen AI concepts including Multi-agent modelling, and advanced Machine Learning and deep learning. Expected to have good working knowledge on GCP and Python programming.
Familiarity with analytics methods (descriptive/predictive/prescriptive) and Business Intelligence tools (Python, PowerBI, QlikSense) would be a definite plus.
Exposure to Cloud technologies (e.g., Google Cloud), including executing Machine Learning algorithms on Cloud would be definite plus.
Candidates should display interest and initiative in translating a business problem into an analytical problem and determining the appropriate analytical methods to be used.
- Develop machine learning models and implement ML feature delivery as managed services or on device model.
- Analyze and Solve Industrial Engg. / Operational Research requirements
- Collaborate with data engineers to develop data and model pipelines
- Write production-level code and bring code to production
- Engage in code reviews
- Develop and test the optimization model
- Design and evaluate approaches for handling large volume of real data streams.
- Improve existing machine learning models
- Develop prototype for future exploration.
- Produce project outcomes and isolate issues
- Implement machine learning algorithms and libraries
- Communicate complex processes to business leaders
- Research and implement best practices to enhance existing machine learning infrastructure
B.E (minimum Qualification)
Certification in Data science and related field.
Skills:
Primary: GenAI, GCP, Python, Statistics, Machine Learning,
Desirable: Qliksense, Dataform/DBT, BQ/SQL, PowerBI.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence dbt Deep Learning GCP Generative AI Google Cloud Industrial LLMs Machine Learning ML infrastructure ML models Model design Pipelines Power BI Python Research SQL Statistics
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