
Senior AI Model Developer
1 week ago
The company seeks a skilled Machine Learning Engineer to join its team.
- Key Responsibilities:
- Design and Implement Models: Develop, train, and optimize machine learning models using state-of-the-art algorithms and frameworks.
- Data Preparation: Clean, process, and transform large datasets for model training and evaluation.
- Feature Engineering: Identify and engineer relevant features to improve model performance.
- Algorithm Optimization: Research and implement advanced algorithms for specific use cases.
- Integration: Collaborate with software developers to integrate ML models into production systems.
- Performance Evaluation: Assess model performance using relevant metrics.
- MLOps: Assist in setting up and managing CI/CD pipelines for model deployment.
- Requirements: A strong understanding of supervised and unsupervised learning, deep learning, and reinforcement learning.
- Skills: Proficiency in Python and ML libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch), experience with data manipulation tools like Pandas, NumPy, and visualization libraries, familiarity with big data frameworks (Hadoop, Spark) is a plus, knowledge of SQL/NoSQL databases and data pipeline tools, experience with cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services.
- Benefits: Opportunity to work on cutting-edge projects, contribute to the growth of the organization, develop high-quality machine learning models that meet business requirements.
- How You Will Contribute: Propose innovative solutions and stay updated with the latest advancements in Gen AI AI/ML technologies.
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