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Anand Educational Technical And Vocational Society

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11 Anand Educational Technical And Vocational Society Jobs

AI and ML

Anand Educational Technical And Vocational Society

4-8 years

₹ 12 - 18L/yr

Burhanpur

1 vacancy

AI and ML

Anand Educational Technical And Vocational Society

posted 4d ago

Job Description

Model Development: Design, develop, and deploy machine learning models and algorithms for a variety of applications, such as predictive analytics, classification, recommendation systems, and natural language processing (NLP).
Data Analysis & Preprocessing: Collect, clean, and preprocess large datasets from various sources to ensure data is ready for modeling.
Algorithm Optimization: Optimize machine learning models for accuracy, performance, and scalability by applying techniques such as hyperparameter tuning, feature selection, and model evaluation.
AI Solution Deployment: Deploy machine learning models into production environments and monitor their performance to ensure they provide reliable and actionable insights.
Collaboration: Work closely with cross-functional teams, including data scientists, software developers, and product managers, to integrate AI and machine learning models into products and systems.
Research & Innovation: Stay up-to-date with the latest advancements in AI, machine learning, and deep learning technologies. Research new methods and approaches to improve the accuracy and efficiency of models.
Model Testing & Validation: Conduct experiments to evaluate model performance and adjust models based on results. Use various metrics to validate the effectiveness and reliability of AI solutions.
Continuous Improvement: Continuously monitor and improve the performance of AI models, addressing issues such as drift and ensuring they are effective as new data becomes available.
Documentation & Reporting: Document the development and deployment processes, and prepare reports or presentations to communicate findings, model outcomes, and improvements to both technical and non-technical stakeholders.
Technical Skills:

Proficiency in programming languages such as Python, R, or Java.
Strong experience with machine learning libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, Keras, and XGBoost.
Knowledge of deep learning techniques (CNNs, RNNs, GANs, etc.) and frameworks.
Experience with data manipulation and processing using libraries like Pandas, NumPy, and SQL.
Strong understanding of data structures, algorithms, and statistical analysis.
Familiarity with cloud-based ML platforms (AWS Sagemaker, Google AI Platform, Azure ML) is a plus.
Experience with deployment tools and containers (Docker, Kubernetes) is advantageous.

Employment Type: Full Time, Permanent

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