GEN AI Data Scientist Engineer
ClifyX
GEN AI Data Scientist Engineer
Role - GEN AI Data Scientist Engineer Experience Required - 8+ Years
Must Have Technical/Functional Skills
- Machine Learning and Data Science (Expert)
- Strong understanding of core Data Science and Machine Learning concepts.
- Proven experience building, training, validating, and deploying ML models.
- Model deployment experience into production using algorithms and frameworks such as XGBoost, LightGBM, Scikit-learn
- Programming and Data Engineering Skills (Expert)
- Statistics and Analytical Skills (Expert)
- Generative AI and Agentic AI Experience (Intermediate)
- Experience with Generative AI concepts and implementation.
- Ability to design and implement AI agents, workflows, tool calling, orchestration, and task automation.
- RAG and Knowledge-Based AI Solutions (Intermediate)
- Cloud Platform Experience (Intermediate) and Hands-on cloud experience. GCP, AWS
- MLOps, DevOps, and Deployment (Intermediate)
Roles & Responsibilities
- ML Process and Model understanding
- Model Deployment & involve in activity for converting in to Agentic solution
- Monitoring & Performance Management
- Security & Compliance
- Continuous improvements
Generic Managerial Skills, If any
- Agile, customer communication and offshore co-ordination and thought leadership ideas
- Communication (Must):
- Candidate must have strong communication skills, with the ability to engage business stakeholders, understand and translate business requirements into technical solutions, and provide timely status updates.
- Ability to interpret model results and communicate findings clearly to technical and business stakeholders.
Vacancy posted 2 days ago
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