Head of Generative AI
TuringSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
N/AIndustries
Requirements
- 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 stakeholders, and work effectively with cross-functional partners in a global company
- Strong knowledge and experience in statistics: experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models
- Deep understanding of ML algorithms (i.e., deep learning, random forest, gradient boosted trees, k-means clustering, etc.) and their development, validation, and evaluation
- Experience with Python or other scripting languages and database language (e.g., SQL) or data manipulation (e.g., Pandas)
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
Skills
Generative AI
Machine Learning
AI Models
Model Training
Model Fine-tuning
Model Optimization
Production Deployment
Classification
Prediction
Clustering
Statistics
Data Quality
AI Infrastructure
ShyftLabs
Data-driven decision-making solutions for organizations
About ShyftLabs
ShyftLabs helps organizations adopt a data-first approach to their decision-making processes. Their services focus on establishing systems that enable companies to make quicker and more informed decisions based on data analysis. This approach allows businesses to gain insights that can keep them ahead of their competitors. Unlike other companies that may offer generic consulting services, ShyftLabs emphasizes the importance of data in driving decisions, ensuring that organizations can leverage their data effectively to enhance their strategic planning and operational efficiency.
None, CanadaHeadquarters
2018Year Founded
VENTURE_UNKNOWNCompany Stage
Data & Analytics, ConsultingIndustries
11-50Employees
Benefits
Health Insurance
Hybrid Work Options
Professional Development Budget
Risks
Increased competition from startups offering innovative, cost-effective solutions.
Growing demand for in-house analytics teams reducing reliance on consultants.
Rapid AI advancements may outpace ShyftLabs' current technology offerings.
Differentiation
ShyftLabs specializes in data governance, warehousing, and predictive analysis services.
The firm empowers organizations with a data-first approach for decision-making.
ShyftLabs establishes processes for faster, insightful decisions to outpace competition.
Upsides
Increased demand for data governance due to stricter privacy regulations.
Growing interest in predictive analytics in retail for inventory optimization.
Rising adoption of cloud-based BI tools among SMEs for cost-effectiveness.
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