Jobs at Youverify Online Services

Responsibilities
Concept Development:

• Generate innovative design concepts and translate them into feasible product designs through sketches, wireframes, and prototypes.

User Research:

• Conduct user research and usability testing to understand user needs, preferences, and pain points. Analyze feedback and data to inform design decisions.

Design Execution:

• Create detailed design specifications, for product features, ensuring alignment with user experience principles and brand guidelines.

Collaboration:

• Work closely with product managers, engineers, and other stakeholders to ensure designs are feasible and align with project goals. Participate in brainstorming sessions and design reviews.

Prototyping:

• Develop interactive prototypes to test design concepts and iterate based on user feedback and technical constraints.

Design Systems:

• Own the development and maintenance of a consistent design language and system across all products.

Trend Analysis:

• Stay updated with the latest design trends, techniques, and technologies, and integrate relevant innovations into the design process.

Quality Assurance:

• Collaborate with the engineering team during the development phase to ensure the final product meets design specifications and quality standards.

Qualifications

• Bachelor’s degree in Product Design, Industrial Design, Graphic Design, computer science, engineering, or a related field or a professional certification/training in a design-related field or equivalent industry experience
• 4+ years of experience in product design, with a portfolio showcasing successful design projects that have gone from concept to production. At least 1 year of leadership experience managing a minimum of 2 persons.

Skills:

• Proficiency in design and prototyping tools such as Sketch, Figma, or similar tools.
• Strong understanding of user-centered design principles and methodologies.
• Excellent visual design skills with a strong sense of aesthetics and attention to detail.
• Experience with embedding micro-interactions in designs
• Strong communication and presentation skills.
• Ability to work effectively in a collaborative team environment.

Personal Attributes:

• Creative thinker with a passion for innovative design.
• Detail-oriented and highly organized.
• Ability to handle multiple projects simultaneously and meet deadlines.
• Open to feedback and dedicated to continuous improvement.
• You are also a strongly outcome-focused individual motivated by the measurable impact your work has on our users and the product whilst aligning with business OKRs
• You are a strong cross-functional collaborator who can partner successfully with product managers, engineers and commercial teams

Benefits

• Competitive salary
• An opportunity to make an impact and work with some of the smartest and most talented experts from different fields
• Growth potential; we rapidly advance team members who have an outsized impact
• Excellent health insurance
• Gym membership & wellness resources
• Spousal Allowance
• Work tools ( Macbook Pro, Encrypted Flashdrive, YubiKey, Training etc)
• Hybrid & remote work offering
• Pension contributions

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Job Description

• We are seeking a talented and experienced Machine Learning Engineer to join our team. The ideal candidate will have a minimum of 5 years of experience in designing, developing, and implementing machine learning models and algorithms to solve complex problems and improve our products and services.
• You will collaborate with data scientists, software engineers, product managers, and domain experts to translate research findings into practical solutions, ensuring alignment with business goals to create scalable solutions that deliver actionable insights.

Key Responsibilities
Model Development:

• Design and develop cutting-edge machine learning models and algorithms tailored for diverse applications.
• Engage in rigorous model experimentation and validation to ensure high-performance outcomes.

Data Processing:

• Collect, preprocess, and analyze large-scale datasets to train and validate machine learning models.
• Employ advanced data wrangling techniques to enhance data quality and model accuracy.

Deployment:

• Implement and integrate machine learning models into production environments, focusing on scalability, robustness, and performance.
• Collaborate on deployment pipelines to streamline the transition from development to production.

Optimization:

• Continuously monitor and enhance the performance of deployed models through iterative refinement and hyperparameter tuning.
• Utilize feedback loops and performance metrics to drive model improvements.

Collaboration:

• Partner closely with cross-functional teams, including data scientists, software engineers, and business analysts, to gather requirements and deliver comprehensive solutions.
• Elevate the team's expertise by sharing best practices, conducting workshops, and fostering a culture of continuous learning and innovation.

Research:

• Stay abreast of the latest advancements in machine learning and AI, and proactively incorporate new techniques and tools into ongoing projects.
• Conduct independent research to explore emerging trends and technologies.

Documentation:

• Document processes, models, and methodologies meticulously to ensure reproducibility and facilitate knowledge sharing across the organization.
• Maintain clear and comprehensive documentation to support ongoing project development and future scalability.

Qualifications

Education:

• Bachelor’s or Master’s Degree in Computer Science, Engineering, Mathematics, Statistics, Machine Learning or a related field.

Experience:

• 5+ years experience in delivering and operationalising Machine learning models in production preferably in a startup environment
• At least 1 year of leadership experience managing a minimum of 2 persons.
• Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Proficiency in programming languages such as Python, R, Rust or Java.
• Experience with big data technologies (e.g., Hadoop, Spark)
• Familiarity with MLOps practices
• Proven experience using Azure and Terraform to build, deploy, and manage high-quality ML models
• Deep understanding of machine learning algorithms and principles.
• Have constructed batch and streaming microservices exposed as REST/gRPC endpoints
• Advanced experience with data processing and analysis tools (e.g., Pandas, NumPy).
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and ML services.
• Knowledge of database systems (SQL and NoSQL).
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.
• Highly skilled with distributed processing architecture and ML/data workflow management platforms (Spark, Databricks, Airflow, Kubeflow, MLflow etc)
• Knowledge of deep learning techniques and frameworks
• Highly skilled with strong proficiency in MLOPS with experience in building large-scale ML applications, services, pipelines and architecture
• Experience with containerization such as Docker and Kubernetes
• Experience with CI/CD pipelines, integrated tests and test-driven development.