Senior Machine Learning Engineer (Remote)

Hiring: Senior Machine Learning Engineer (Remote)

Hello Everyone,

Senior Machine Learning Engineer

product innovation

Role Overview

Experience Required:

• Proven experience in designing, developing, and deploying ML models in production environments
• Hands-on expertise in recommendation systems, pattern recognition, NLP, or time series modeling
• Strong proficiency in Python (preferred), with experience in Java or C/C++
• Familiarity with large-scale software architecture, APIs, and model versioning systems

Core Skills:

• Deep expertise in Python and ML frameworks like PyTorch, TensorFlow, or scikit-learn
• Experience with cloud ML platforms (Azure ML, GCP, AWS SageMaker)
• Solid grasp of ML algorithms: classification, regression, SVMs, ARIMA, ensemble methods, deep learning
• Strong foundation in probability theory and statistical modeling
• Knowledge of DevOps/MLOps tools: CI/CD, GitHub Actions, Terraform, Docker, Kubernetes
• Excellent communication skills for both technical and non-technical audiences
• Collaborative mindset with cross-functional teams (engineering, analytics, product)
• Ability to work independently in remote or hybrid environments

Preferred Skills:

• Advanced understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs)
• Experience with GPU-accelerated computing (CUDA, Rapids, NeMo, NIM)
• Skilled in model evaluation, distributed training, and hyperparameter tuning
• Familiarity with Big Data streaming and in-memory databases (Spark, Kafka, Redis, Elastic Search)
• Proficient in automated workflows and containerization (GitHub Actions, Terraform, Helmet, Docker, Kubernetes)
• Strong background in API and microservices development
• Experience with real-time AI/GenAI/ML solutions and databases
• Knowledge of responsible AI/ML practices, model interpretability, and fairness auditing

Education:

• Bachelor’s or Master’s in Computer Science, Applied Mathematics, Engineering, or related field
• PhD preferred
• Specialization in applied ML, MLOps, or ML systems is a plus

Experience:

Note:

profiles@nuvanko.com

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