Posted:1 day ago|
Platform:
Work from Office
Full Time
Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.
Vayuz Technologies
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Information Technology & Services
51-200 Employees
96 Jobs
Key People
8.0 - 14.0 Lacs P.A.
8.0 - 14.0 Lacs P.A.
8.0 - 14.0 Lacs P.A.
8.0 - 14.0 Lacs P.A.
8.0 - 14.0 Lacs P.A.
8.0 - 14.0 Lacs P.A.
8.0 - 14.0 Lacs P.A.
8.0 - 14.0 Lacs P.A.
8.0 - 14.0 Lacs P.A.
8.0 - 14.0 Lacs P.A.