Infogain India (P) Ltd is looking for AI/ML Developer to join our dynamic team and embark on a rewarding career journey
you will play a critical role in designing, developing, and deploying artificial intelligence and machine learning solutions that drive innovation and improve business outcomes
You will work closely with cross-functional teams to understand business needs, develop machine learning models, and create scalable, data-driven applications
Your expertise in AI/ML will enable us to harness the power of data for strategic advantage
Key Responsibilities:
Solution Design: Collaborate with stakeholders to define AI/ML project requirements and objectives
Data Collection: Identify and gather relevant data from various sources, ensuring data quality and reliability
Data Preprocessing: Clean, preprocess, and transform data to prepare it for model development
Model Development: Build and train machine learning models using appropriate algorithms and techniques
Feature Engineering: Create relevant features and feature engineering pipelines to improve model performance
Model Evaluation: Evaluate model performance using appropriate metrics and validation techniques
Hyperparameter Tuning: Optimize model hyperparameters to achieve the best results
Deployment: Deploy machine learning models into production environments, ensuring scalability and reliability
Monitoring: Implement model monitoring and maintenance processes to ensure ongoing performance
Documentation: Maintain comprehensive documentation of AI/ML models, methodologies, and results
Research: Stay updated on the latest AI/ML research and technologies, and apply new insights to projects
Qualifications:
Bachelor's degree in Computer Science, Data Science, or a related field (Master's degree preferred)
Proven experience in AI/ML development, with a strong portfolio of projects
Proficiency in machine learning libraries and frameworks (eg, TensorFlow, PyTorch, scikit-learn)
Strong programming skills in languages such as Python or R
Experience with data preprocessing, feature engineering, and model evaluation
Knowledge of deep learning, neural networks, and natural language processing (NLP) is a plus
Familiarity with cloud platforms (eg, AWS, Azure, GCP) and containerization (eg, Docker) is a plus
Excellent problem-solving and analytical skills
Effective communication and collaboration abilities
Ability to work independently and as part of a multidisciplinary team
