Software Engineer
Mumbai · Mid Level
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What we know about this role
LOW
Our tracked job listings for saintgobain show limited recent activity.
First 72 hours
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Skills required
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Job description
Job Purpose/Summary:
Design, implement, and optimize AI end to end solutions for various applications, such as natural language processing, computer vision, and machine learning.
Key Responsibilities:
Reuse already existing AI/Generative AI assets (libraries, platforms)
• Research and develop novel AI/Generative AI algorithms and techniques.
• Design, implement, and optimize AI end to end solutions for various applications, such as natural language processing, computer vision, and machine learning.
•Collaborate with cross-functional teams to integrate AI solutions into existing products and services.
•Stay up-to-date with the latest advancements in AI/Generative AI research and industry trends.
•Conduct experiments and analyze results to improve model performance and efficiency.
•Contribute to the development of AI/Generative AI best practices and standards within the organization.
Key Performance Indicators:
Adoption of Standard Practices, Innovation, Agentic AI
Qualificaton:
Master's/ BE degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong foundation in machine learning algorithms and techniques, including deep learning, neural networks, and reinforcement learning.
• Proficiency in programming languages such as Python, R, or Java.
• Good knowledge of Machine Learning, statistics, and probabilities
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
Functional Skills/Competencies:
Knowledge of natural language processing (NLP) and computer vision techniques.
• Experience with data mining and data cleaning.
• Familiarity with AI ethics and responsible AI practices
Behavioral Skills/Competencies:
Experience with generative models (e.g., GANs, VAEs, RAG based).
• Knowledge of natural language processing (NLP) and computer vision techniques.
• Experience with data mining and data cleaning.
• Familiarity with AI ethics and responsible AI practices
• SQL and Python, ML packages: scikit-learn, xgboost, keras
• Work experience with a cloud provider and the ability to construct data pipelines would be an advantage
• Code management: Git, Gitlab, CI/CD
• Mastery of both predictive and descriptive modeling
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