Senior Machine Learning Engineer (Remote) at Astra Capital Group LLC

Astra Capital Group LLC is a USA-registered company dedicated to offering high-quality technical services to startups and established businesses. We specialize in providing innovative and scalable solutions designed to meet the unique needs of each client. With a focus on driving growth and efficiency, our services are available at a competitive monthly price, making them accessible to companies of all sizes. Whether you are looking to enhance your technology infrastructure, streamline operations, or leverage cutting-edge solutions, Astra Capital Group is committed to delivering exceptional value and results.

We are recruiting to fill the position below:

Job Title: Senior Machine Learning Engineer (Remote)

Locations: Abuja (FCT), Lagos, Abia, Adamawa and Akwa Ibom
Employment Type: Full-time

Position Overview

• We are seeking a highly skilled Senior Machine Learning Engineer with a minimum of 4 years of experience to join our remote team.
• In this role, you will be responsible for designing, developing, and deploying machine learning models that power innovative solutions across various business domains.
• You will collaborate with cross-functional teams to implement end-to-end machine learning systems that optimize processes, enhance decision-making, and improve the overall user experience.

Key Responsibilities

• Machine Learning Model Development:

  • Design, build, and train machine learning models for predictive analytics, recommendation systems, anomaly detection, and other use cases.
  • Implement state-of-the-art algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.
  • Work with large datasets, applying appropriate preprocessing, feature engineering, and data augmentation techniques to improve model performance.

• End-to-End ML Systems:

  • Develop and deploy end-to-end machine learning systems, from model development to integration with production environments.
  • Collaborate with software engineers to ensure seamless integration of models into existing systems and applications.
  • Implement continuous monitoring and retraining strategies to ensure models remain accurate and relevant over time.

• Model Optimization & Scaling:

  • Optimize machine learning models for performance, scalability, and efficiency, ensuring they meet production standards.
  • Apply techniques like hyperparameter tuning, model compression, and parallelization to enhance model efficiency.
  • Leverage cloud computing resources and distributed systems to scale models as needed.

• Collaboration & Knowledge Sharing:

  • Work closely with data scientists, product managers, and engineers to understand business objectives and translate them into machine learning solutions.
  • Provide mentorship and guidance to junior team members, helping to elevate the team's expertise in machine learning and AI.
  • Participate in code reviews and ensure high-quality, maintainable code practices across the team.

• Research & Innovation:

  • Stay current with the latest advancements in machine learning, AI, and data science, and apply new techniques to enhance model performance.
  • Contribute to research initiatives, experiment with new algorithms, and drive continuous improvement in the machine learning workflow.
  • Share knowledge with the broader team through workshops, presentations, or internal documentation.

Qualifications

• Minimum of 4 years of professional experience in machine learning engineering or data science.
• Strong proficiency in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
• Solid understanding of machine learning algorithms, statistical methods, and model evaluation metrics.
• Experience working with big data technologies and cloud platforms (e.g., AWS, GCP, Azure) for deploying and managing ML models.
• Strong knowledge of data preprocessing, feature engineering, and model selection.
• Experience in designing, developing, and deploying machine learning models in production environments.
• Proficiency in programming languages such as Python, R, or Java.

Preferred Skills:

• Experience with deep learning techniques (e.g., CNNs, RNNs, LSTMs, transformers).
• Knowledge of MLOps practices, including model versioning, CI/CD for machine learning, and model monitoring.
• Experience with automated machine learning tools and platforms (e.g., H2O.ai, AutoML).
• Familiarity with NLP, computer vision, or reinforcement learning applications.
• Experience with containerization tools like Docker and orchestration tools like Kubernetes for model deployment.

What We Offer

• Competitive salary and comprehensive benefits package.
• Opportunities for career growth and professional development in machine learning and AI.
• A fully remote, flexible, and collaborative work environment.
• The chance to work on cutting-edge projects that shape the future of our industry.

Salary
N700,000 monthly.

How to Apply
Interested and qualified candidates should send their Resume, Portfolio, and any relevant machine learning projects to: [email protected] using the Job Title as the subject of the mail

Application Deadline 20th January, 2025.