Lead Machine Learning Engineer
Launch PotatoSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Data ProductsIndustries
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
- 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)
- Proven experience building, training, and deploying ML models from scratch into production environments, including model lifecycle management (versioning, monitoring, and retraining)
- 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)
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
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What compensation and benefits does ShyftLabs offer?
ShyftLabs offers a competitive salary alongside a strong insurance package.
Is this a remote position or does it require office work?
This information is not specified in the job description.
What are the key skills required for the Senior Data Scientist role?
Candidates need a Master's degree in a quantitative discipline, 5+ years of professional experience, deep understanding of ML algorithms from classical methods to transformers, end-to-end ML deployment experience, and proficiency in Python, SQL, and Pandas.
What is the company culture like at ShyftLabs?
ShyftLabs emphasizes collaboration with cross-functional teams, building positive relationships within the company and with stakeholders, and working effectively in a global environment while focusing on innovation and growth.
What makes a strong candidate for this Senior Data Scientist position?
A strong candidate has distinctive problem-solving skills, excellent communication abilities to present analysis effectively, and hands-on experience with scalable ML deployment and optimization for production.
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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