SENIOR MACHINE LEARNING ENGINEER @YOU VERIFY

Senior Machine Learning Engineer

Job Location: Lagos

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 of 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.
  • Knowledge of database systems (SQL and NoSQL).
  • Excellent problem-solving skills and attention to detail.
  • 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.
  • 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

Application Closing Date: 8th October, 2024.

Method of Application
Interested and qualified candidates should send their Resumes,and Portfolios to: hr@youverify.co  using  “Senior Machine Learning Engineer Application” as the subject of the mail.

Note: Applications without a portfolio will not be considered.

 

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