Senior Data Scientist
Noida, Uttar PradeshFull-TimeSeniorAI / Data Science
Job Responsibilities:
- Research, design, and develop innovative generative AI models and applications.
- Collaborate with cross-functional teams to identify opportunities for AI-driven solutions.
- Train and fine-tune AI models on large datasets to achieve optimal performance.
- Optimize AI models for deployment in production environments.
- Stay up-to-date with the latest advancements in AI and machine learning.
- Collaborate with data scientists and engineers to ensure data quality and accessibility.
- Design, implement, and optimize machine learning algorithms for tasks like classification, prediction, and clustering.
- Develop and maintain robust AI infrastructure.
- Document technical designs, decisions, and processes, and communicate progress and results to stakeholders
- Work with cross-functional teams to integrate AI/ML models into production-level applications
Basic Qualifications:
- Master's degree in a quantitative discipline or equivalent.
- 5+ years minimum professional experience.
- Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets, and using statistics to arrive at a recommendation.
- Excellent verbal and written communication skills, with the ability to present
- information and analysis results effectively.
- Ability to build positive relationships within ShyftLabs and with our stakeholders, and work effectively with cross-functional partners in a global company.
- Must have a deep understanding of ML algorithms, ranging from classical methods (e.g., regression, random forests, k-means clustering) to advanced techniques such as gradient boosting (XGBoost, LightGBM, CatBoost), neural networks, and transformer-based architectures (e.g., sentence transformers, BERT variants).
- End-to-End Deployment: Proven experience building, training, and deploying ML models from scratch into production environments, including model lifecycle management (versioning, monitoring, and retraining).
- Scalability & Performance: Hands-on experience operationalizing models at scale, optimizing for performance, reliability, and cost efficiency in real-world production systems.
- Programming: experience with Python or other scripting languages and database language (e.g., SQL) or data manipulation (e.g., Pandas).
