Senior Machine Learning Engineer at Youverify Online Services

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 fromdevelopment 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

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