Remote
Full-Time
India
About the Role
Responsible for model development, optimization, and deployment, they ensure the delivery of impactful AI solutions that improve efficiency, decision-making, and customer satisfaction, contributing directly to the company's growth and competitiveness in the market. Within our organization, they collaborate closely with cross-functional teams, leveraging their expertise to solve challenging problems and drive strategic initiatives that advance our mission and vision.
Algorithm Development: Design, develop, and implement machine learning algorithms and models to solve complex problems and address business needs
Data Processing and Analysis: Collect, preprocess, and analyze large datasets to extract meaningful insights and patterns, utilizing techniques such as data cleaning, feature engineering, and statistical analysis
Model Training and Optimization: Train, validate, and optimize machine learning models to achieve high accuracy, performance, and scalability, employing techniques such as hyperparameter tuning and model selection
Requirements
Minimum of 2 years of proven working experience in AI/ML
Machine Learning Expertise: In-depth knowledge of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, and their practical applications
Data Handling and Analysis: Experience with data collection, preprocessing, feature engineering, and exploratory data analysis, using tools like pandas, NumPy, or SQL for efficient data manipulation and analysis
Model Development and Optimization: Ability to design, develop, and optimize machine learning models, including hyperparameter tuning, cross-validation, and ensemble methods, to achieve high performance and generalization
Software Engineering Skills: Understanding of software development principles and best practices, including version control, code documentation, and software testing, to ensure the reliability and maintainability of AI solutions
Algorithm Development: Design, develop, and implement machine learning algorithms and models to solve complex problems and address business needs
Data Processing and Analysis: Collect, preprocess, and analyze large datasets to extract meaningful insights and patterns, utilizing techniques such as data cleaning, feature engineering, and statistical analysis
Model Training and Optimization: Train, validate, and optimize machine learning models to achieve high accuracy, performance, and scalability, employing techniques such as hyperparameter tuning and model selection
Requirements
Minimum of 2 years of proven working experience in AI/ML
Machine Learning Expertise: In-depth knowledge of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, and their practical applications
Data Handling and Analysis: Experience with data collection, preprocessing, feature engineering, and exploratory data analysis, using tools like pandas, NumPy, or SQL for efficient data manipulation and analysis
Model Development and Optimization: Ability to design, develop, and optimize machine learning models, including hyperparameter tuning, cross-validation, and ensemble methods, to achieve high performance and generalization
Software Engineering Skills: Understanding of software development principles and best practices, including version control, code documentation, and software testing, to ensure the reliability and maintainability of AI solutions