AI Engineers

Area-AI & Analytics

No of positions-14

• Design, develop, and deploy AI models and systems.
• Collaborate with cross-functional teams to identify AI opportunities and requirements.
• Preprocess and analyze large datasets to extract meaningful insights.
• Optimize AI models for performance and scalability.
• Stay updated with the latest advancements in AI and machine learning.
• Ensure AI solutions adhere to ethical standards and compliance regulations.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of data structures, algorithms, and statistical analysis.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment

Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Technical Skills:

• AI Topics
• Computer Vision
• NLP
• LLM
• Machine Learning
• Document Intelligence
• Knowledge Mining
• Programming Languages:
• Proficiency in Python
• Proficiency in R
• Proficiency in Java
• Machine Learning Frameworks and Libraries:
• TensorFlow
• PyTorch
• Scikit-learn
• Keras
• Data Structures and Algorithms:
• Strong understanding of data structures
• Strong understanding of algorithms
• Statistical Analysis:
• Proficiency in statistical methods and analysis
• Data Preprocessing and Feature Engineering:
• Data cleaning and transformation
• Feature selection and extraction
• Cloud Platforms and Services:
• AWS (Amazon Web Services)
• Azure
• Google Cloud Platform (GCP)
• Containerization and Orchestration:
• Docker
• Kubernetes
• AI Model Deployment:
• Building and deploying models in production environments
• Model optimization for performance and scalability
• Monitoring and Logging:
• Implementing monitoring solutions for model performance
• Logging for tracking model health
• Collaboration and Communication:
• Strong communication skills
• Ability to work in cross-functional teams
• Project Management:
• Experience in managing AI projects
• Leading and mentoring junior engineers

Tools:

• Development Environments:
• Jupyter Notebook
• Visual Studio Code (VS Code)
• Data Processing Tools:
• Pandas
• NumPy
• Visualization Tools:
• Matplotlib
• Seaborn
• Tableau
• Natural Language Processing (NLP) Libraries (if applicable):
• spaCy
• NLTK
• Hugging Face Transformers
• Computer Vision Libraries (if applicable):
• OpenCV
• YOLO (You Only Look Once)
• Reinforcement Learning Libraries (if applicable):
• OpenAI Gym
• Stable Baselines

4-5 Years exp+