Position Overview Here at ShyftLabs we are searching for an experienced Data Scientist who can derive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system and provide a data driven insight and scientific solution ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies We deliver digital solutions built to help accelerate the growth of businesses in various industries by focusing on creating value through innovation 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 positive 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 We are proud to offer a competitive salary alongside a solid insurance package We pride ourselves on the growth of our employees offering extensive learning and development resources