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machine learning
3 weeks ago
· Strong understanding of AI/ML concepts and techniques.
· Good experience with MLOps principles and practices in implementing and managing ML Ops
· Experience with data pipelines and data pre-processing techniques.
· Proficiency in programming languages such as Python, with hands on experience in AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
· Experience with AI/ML model lifecycle activities, like data preprocessing, feature engineering, deployment, data visualization, etc.
· Good understanding on model deployment, design, and architecture.
· Strong analytical and problem-solving skills, with the ability to analyze complex datasets and extract actionable insights.
· Familiarity with cloud platforms / hyper-scalers (e.g., GCP, Azure, AWS, NVIDIA) and experience in deploying AI/ML models in cloud environments.
· Experience of integrating AI/ML features into business applications and solutions.
· Knowledge of software development practices, version control systems (e.g., Git), and agile methodologies.
· Excellent communication and collaboration skills to work effectively in cross-functional teams.
· Experience with containerization technologies (Docker, Kubernetes) is a plus.
Expert level knowledge in Machine Learning Python programming language.
Basic understanding of foundations of Data Engineering models.
Regressive/time series algorithms & a precise understanding on them.
Real time project knowledge, deployments & Devops experience.
Exposure to React JS and Data Science is an added advantage.
Location : Bangalore
Notice period: Immediate
Exp : 5+ Years
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