Optimize ML models for performance, scalability, and deployment in production environments (MLOps).
Collaborate closely with software engineers, product managers, and data analysts to integrate AI features into enterprise applications.
Job Qualifications
Experience: 4 to 8 years of proven experience in Data Science, Data Engineering, AI/ML development, or a closely related field.
Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Data Science, or a related quantitative discipline.
Technical Skills
Advanced proficiency in Python and SQL.
Strong understanding of statistical modeling, predictive analytics, NLP, and deep learning (TensorFlow, PyTorch, or Scikit-Learn).
Hands-on experience with cloud platforms (AWS, Google Cloud, or Azure) and big data technologies.
Experience with model deployment, monitoring, and CI/CD pipelines (MLOps).
Communication Skills: Ability to articulate technical constraints, opportunities, and outcomes to business stakeholders in plain language.
Stakeholder Management: Proven track record of successfully navigating organizational dynamics, building consensus, and managing cross-functional projects.
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.
Company
Airbus India Private Limited
Employment Type
Permanent
Experience Level
Professional
Job Family
Digital <JF-IM-DI>
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