AI Developer

AI Developer

📍 Location: Loni, Uttar Pradesh, India

🏢 Industry: Education

💼 Work Setting: Hybrid

Are you passionate about AI, machine learning, and solving complex business challenges through intelligent systems?

This role offers the opportunity to build production-ready AI solutions, collaborate with cross-functional teams, and work with cutting-edge technologies across the AI lifecycle.

Key Responsibilities

AI & Machine Learning Development

• Design, develop, and implement machine learning models and AI algorithms.
• Build, train, evaluate, and optimize predictive and analytical models.
• Develop solutions using:
• Machine Learning
• Deep Learning
• Natural Language Processing (NLP)
• Computer Vision
• Predictive Analytics
• Continuously improve model performance, scalability, and accuracy.

Data Engineering & Analytics

• Work with large and complex datasets.
• Perform:
• Data Collection
• Data Cleaning
• Feature Engineering
• Data Preparation
• Statistical Analysis
• Develop high-quality datasets for model training and evaluation.
• Validate model outputs and ensure data integrity.

AI Solution Deployment

• Deploy AI and machine learning models into production environments.
• Develop APIs and services to enable AI integration within business applications.
• Monitor model performance and implement improvements as needed.
• Support end-to-end AI solution lifecycle management.

Research & Innovation

• Research emerging AI technologies, frameworks, and industry trends.
• Evaluate new techniques and tools that can improve business outcomes.
• Explore advanced AI capabilities including:
• Generative AI
• Reinforcement Learning
• Deep Learning Architectures
• Contribute to innovation initiatives and AI strategy discussions.

Collaboration & Business Partnership

• Partner with:
• Product Teams
• Software Engineers
• Data Scientists
• Business Stakeholders
• Translate business requirements into scalable AI solutions.
• Communicate technical concepts effectively to both technical and non-technical audiences.

Documentation & Governance

• Document:
• Models
• Workflows
• Design Decisions
• Development Processes
• Promote responsible and ethical use of AI technologies.
• Ensure compliance with data governance and security requirements.

Required Qualifications

Education

• Bachelor's Degree in:
• Computer Science
• Data Science
• Artificial Intelligence
• Machine Learning
• Software Engineering
• Related Field

Preferred Education

• Master's Degree or PhD in:
• Artificial Intelligence
• Machine Learning
• Data Science
• Computer Science
• Related Discipline

Experience

• 3-5 years of experience in:
• AI Development
• Machine Learning Engineering
• Data Science
• Applied AI Solutions
• Hands-on experience building and deploying machine learning models in production environments.

Technical Skills

Programming Languages

• Python
• R
• Java

AI & Machine Learning Frameworks

• TensorFlow
• PyTorch
• Keras
• Scikit-learn

AI Specializations

• Machine Learning
• Deep Learning
• Natural Language Processing (NLP)
• Computer Vision
• Predictive Analytics
• Generative AI

Cloud Platforms

• AWS
• Microsoft Azure
• Google Cloud Platform (GCP)

Data & Big Data Technologies

• Spark
• Hadoop
• Data Engineering Pipelines
• Large-Scale Data Processing

MLOps & Deployment

• Model Deployment
• MLOps
• CI/CD for AI Solutions
• Model Monitoring & Performance Optimization

Key Skills

• AI Solution Development
• Machine Learning Engineering
• Deep Learning
• NLP Development
• Computer Vision
• Python Programming
• Data Science & Analytics
• Model Deployment
• Cloud AI Platforms
• MLOps
• Algorithm Development