Machine Learning Engineer
3 weeks ago
Job Title: Machine Learning Engineer
About the Role:
Smart Synergies is seeking an experienced Machine Learning Engineer to join our growing team. As a key member of our AI division, you will design, develop, and implement AI models and machine learning algorithms to support high-impact projects. This position is ideal for an engineer ready to deepen their expertise and take on exciting technical challenges.
Responsibilities:
- Design, develop, and deploy machine learning models and AI-driven solutions.
- Collaborate with cross-functional teams to understand, evaluate and deliver AI solutions that meet requirements.
- Conduct data preparation, feature engineering, model selection, training and optimization to ensure optimal performance from AI models.
- Design and implement AI solutions using latest Generative AI technologies and foundation models / large-language models (LLMs).
- Develop automation scripts for MLOps pipelines in cloud using Infrastructure as Code (IaC) for ML model deployment in model inferencing workflows, following best practices of model versioning and CI/CD deployments.
- Monitor and maintain AI models post-deployment, ensuring performance, accuracy, and scalability.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
- 3-5 years of hands-on experience in AI/ML development in professional working environment, with track record of successful AI project deployments.
- Strong understanding of supervised, unsupervised, and reinforcement learning techniques.
- Proficiency in using Python and common AI/ML libraries and frameworks for data preprocessing, feature engineering, and model development techniques.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
- Estimated Salary: $140,000 - $160,000 per year.
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