Integrant
Technology
PrincipalDataScientist-AI&MachineLearning
Neural analysis suggests this role is
optimal for Senior candidates.
“Principal Data Scientist - AI & Machine Learning at Integrant. Skills: Machine Learning, MLOps, Generative AI, Data Science. Extract knowledge from data. Design machine learning models”
Industry & Context.
Complex client challenges
What They're Looking For.
Must Have
7+ years professional experience, 5+ years Data Science, MSc Computer Science, MSc Data Science, MSc Artificial Intelligence, MSc Statistics, MSc Mathematics, MSc Engineering, Experience mentoring technical team members
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Extract knowledge from data
Design machine learning models
Develop machine learning models
Evaluate machine learning models
Deploy machine learning models
Conduct research and experimentation
Develop innovative solutions
Understand business needs
Translate needs into AI solutions
Design Generative AI solutions
Implement Generative AI solutions
Build agent-based applications
Develop scalable model deployment
Develop model monitoring solutions
Monitor model performance
Improve deployed systems
Productionize AI applications
Ensure application reliability
Ensure application scalability
Ensure application maintainability
Mentor junior Data Scientists
Coach junior ML Engineers
Lead technical discussions
Conduct knowledge transfer sessions
Lead client-facing AI engagements
Stay current with AI technologies
Stay current with ML technologies
Stay current with MLOps technologies
Stay current with Generative AI technologies
How You'll Work.
Team & Collaboration
Collaborate with software engineering teams; Work with international clients; Work with stakeholders
Communication Scope
Client presentations; Technical documentation
Full Job Description
We Are Hiring! Integrant is looking for game changers to join our team as "Data Scientist - AI & Machine Learning" with below roles and responsibilities: * Use mathematics, statistics, machine learning, and artificial intelligence techniques to extract knowledge and insights from structured, semi-structured, and unstructured data. * Design, develop, evaluate, and deploy predictive and prescriptive machine learning models. * Conduct open research and experimentation to develop innovative solutions for complex client challenges. * Engage with clients and stakeholders to understand business needs and translate them into AI and Data Science solutions. * Design and implement end-to-end Machine Learning and Generative AI solutions. * Build and optimize Retrieval-Augmented Generation (RAG) systems and intelligent agent-based applications. * Develop scalable model deployment and monitoring solutions using MLOps best practices. * Monitor model performance, detect concept drift, and continuously improve deployed systems. * Collaborate with software engineering teams to productionize AI applications and ensure reliability, scalability, and maintainability. * Mentor and coach junior Data Scientists and Machine Learning Engineers. * Lead technical discussions, knowledge transfer sessions, and client-facing AI engagements. * Stay current with emerging AI, Machine Learning, MLOps, and Generative AI technologies and frameworks. **Requirements** **Education & Experience** * 7+ years of professional experience, including 5+ years in Data Science, Machine Learning & MLOps * MSc in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative discipline. * Experience mentoring, coaching, or leading technical team members. **Data Science & Machine Learning** * Strong foundation in Machine Learning techniques including Classification, Regression, Clustering, Association Rule Mining, Feature Engineering, and Model Evaluation. * Ex
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