Data Science and Engineering Lead
5 days ago
At Maruti Suzuki India Limited, we are seeking a highly skilled Data Science and Engineering Lead to spearhead our AI/ML initiatives.
We offer an estimated salary range of ₹30-60 lakhs per annum, commensurate with experience.
About the RoleThis is a leadership position responsible for overseeing the development and deployment of AI/ML models that drive business growth and improve operational efficiency.
The ideal candidate will have a strong background in machine learning, deep learning, and data engineering, with expertise in cloud platforms such as AWS, Azure, and GCP.
Key Responsibilities- Develop and implement scalable machine learning solutions using TensorFlow, Keras, and other deep learning frameworks.
- Collaborate with cross-functional teams to integrate AI/ML models into production systems, ensuring seamless integration with existing infrastructure.
- Evaluate the application cases and problem-solving potential of AI/ML algorithms, ranking them according to success likelihood.
- Comprehend complex data through exploration and visualization, identifying discrepancies in data distribution.
- Work on structured and unstructured data, developing various algorithms based on statistical modeling procedures.
- Leverage cloud platforms for training and deploying large-scale solutions, managing ModelOps frameworks, and understanding CI/CD processes.
- Minimum 3 years of experience in AI/ML engineering, preferably in the automotive industry.
- Strong proficiency in Python, scikit-learn, pandas, and other machine learning libraries.
- Experience working with recommendation engines, data pipelines, and distributed machine learning.
- Ability to select hardware to run an ML model with required latency.
- Knowledge of cloud platforms (AWS, Azure, and GCP).
- Opportunity to work on cutting-edge AI/ML projects that drive business growth.
- Chance to collaborate with a talented team of engineers and scientists.
- Competitive salary and benefits package.
- Professional development opportunities.
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