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 current 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
- Software Engineering

Preferred Qualifications

- Experience with:

- Generative AI
- Large Language Models (LLMs)
- Reinforcement Learning

• Knowledge of AI deployment pipelines and production platforms.
- Experience with big data ecosystems.
- Contributions to open-source AI or machine learning projects.
- Experience developing enterprise-scale AI applications.

📌 AI Developer (Loni)
🏢 SoTalent
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