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2 hours ago
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.
