Neev Systems
1 week ago
Neev Systems is seeking a highly skilled and experienced Machine Learning Engineer to lead the design and implementation of cutting-edge ML solutions across our organization.
You will be responsible for prototyping and taking models all the way from proof-of-concept to production deployment.
This role requires a deep understanding of ML algorithms, data processing pipelines, model optimization, and production-grade engineering :
- Develop, test, and optimize ML models using structured and unstructured data.
- Design and implement scalable data pipelines and model serving infrastructure.
- Continuously monitor, improve, and re-train models in production.
- Ensure reproducibility, versioning, and documentation of models and experiments.
- Evaluate and select appropriate ML tools, frameworks, and technologies to meet business requirements.
- Oversee the full ML lifecycle including data preparation, model development, training, validation, deployment, and :
- 5+ years of professional experience with at least 3 years in machine learning and data science.
- Take at least one ML solution from idea to full-scale production deployment.
- Strong programming skills in Python, with experience in ML libraries like TensorFlow, PyTorch, Scikit-learn, XGBoost, etc.
- Deep understanding of ML architecture patterns, data pipelines, and distributed systems.
- Experience with any of cloud platforms like AWS, Azure, or GCP and cloud-native ML tools (SageMaker, Vertex AI, Azure ML).
- Proficiency in Docker, Kubernetes, and other containerization/orchestration tools.
(ref:hirist.tech)
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