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Senior Machine Learning Engineer
Pozent
South Plainfield · On-site Full-time Senior 1mo ago
About the role
Job Summary
We are seeking an experienced Senior Machine Learning Engineer to lead Proof of Concepts (POCs), design scalable ML solutions, drive end-to-end model development, and conduct thorough code reviews. The ideal candidate will combine strong technical expertise with architectural thinking and hands-on development capabilities to deliver high-quality, production-ready machine learning systems.
Key Roles & Responsibilities
- Lead and execute Proof of Concepts (POCs) to evaluate feasibility of ML/AI solutions
- Design and architect scalable, production-grade machine learning systems
- Develop, train, validate, and deploy machine learning models
- Write clean, efficient, and maintainable code following best practices
- Conduct code reviews to ensure quality, performance, scalability, and security
- Collaborate with data engineers, product teams, and stakeholders to translate business requirements into technical solutions
- Optimize model performance and ensure production monitoring and reliability
- Implement CI/CD pipelines for ML workflows
- Document technical designs, model decisions, and implementation details
Core Skills
- 8–12+ years of overall software development experience
- 5+ years of hands-on experience in Machine Learning / AI development
- Strong proficiency in Python (NumPy, Pandas, Scikit-learn)
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Strong understanding of ML algorithms, model evaluation, and feature engineering
- Experience with model deployment and MLOps practices
- Familiarity with cloud platforms (AWS / Azure / GCP)
- Experience with Git-based version control and code review processes
- Strong problem-solving and communication skills
Nice to Have
- Experience with Generative AI / LLMs
- Experience building APIs (FastAPI / Flask)
- Experience with containerization (Docker, Kubernetes)
- Experience working in Agile/Scrum environments
Education
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field
- Master's or Ph.D. in AI/ML/Data Science – preferred
About the Company
Pozent
Requirements
- 8–12+ years of overall software development experience
- 5+ years of hands-on experience in Machine Learning / AI development
- Strong proficiency in Python (NumPy, Pandas, Scikit-learn)
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Strong understanding of ML algorithms, model evaluation, and feature engineering
- Experience with model deployment and MLOps practices
- Familiarity with cloud platforms (AWS / Azure / GCP)
- Experience with Git-based version control and code review processes
- Strong problem-solving and communication skills
Responsibilities
- Lead and execute Proof of Concepts (POCs) to evaluate feasibility of ML/AI solutions
- Design and architect scalable, production-grade machine learning systems
- Develop, train, validate, and deploy machine learning models
- Write clean, efficient, and maintainable code following best practices
- Conduct code reviews to ensure quality, performance, scalability, and security
- Collaborate with data engineers, product teams, and stakeholders to translate business requirements into technical solutions
- Optimize model performance and ensure production monitoring and reliability
- Implement CI/CD pipelines for ML workflows
- Document technical designs, model decisions, and implementation details
Skills
AWSAzureDockerFastAPIFlaskGCPGenerative AIKubernetesLLMsMachine LearningNumPyPandasPythonPyTorchScikit-learnTensorFlow
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