AI Engineers
Pune, MH, India
Expleo
Expleo is a trusted partner for end-to-end, integrated engineering, quality services and management consulting for digital transformation.Overview
AI Engineers
Area-AI & Analytics
No of positions-10
Responsibilities
- 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
Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Essential skills
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
Experience
4-5 Years exp+
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Computer Science Computer Vision Docker Engineering Feature engineering GCP Google Cloud Java Jupyter Keras Kubernetes LLMs Machine Learning Matplotlib Model deployment NLP NLTK NumPy OpenAI OpenCV Pandas Python PyTorch R Reinforcement Learning Scikit-learn Seaborn spaCy Statistics Tableau TensorFlow Transformers YOLO
Perks/benefits: Career development
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