
AI/ML Expert
4 days ago
Are you a seasoned developer looking to take your skills to the next level?
Prestigious Opportunity: AI/ML Developer PositionWe're seeking an exceptional Senior Python Developer to spearhead our cutting-edge AI and Machine Learning projects.
This pivotal role will involve designing, developing, testing, and deploying scalable Python applications. You'll be working closely with our team to integrate AI/ML models into production systems, ensuring seamless data pipelines and efficient model performance. Your expertise in libraries such as TensorFlow, PyTorch, or scikit-learn will be crucial in building, training, evaluating, and optimizing machine learning models.
To excel in this position, you should have a strong foundation in Python development, AI/ML concepts, algorithms, and workflows. Proficiency in data manipulation libraries (Pandas, NumPy) and visualization tools (Matplotlib, Seaborn) is also essential. Experience with API development using frameworks like Flask or FastAPI, as well as knowledge of SQL and NoSQL databases, will give you a competitive edge.
We're looking for someone who can not only develop high-quality code but also stay updated with the latest AI/ML trends, architectures, and algorithms. If you're passionate about MLOps practices, ML model monitoring, and continuous training, we want to hear from you.
Please find below the key responsibilities and required qualifications for this exciting opportunity:
Key Responsibilities:- Design, develop, test, and deploy scalable Python applications.
- Integrate AI/ML models into production systems.
- Develop REST APIs for AI services and manage data pipelines for ML workflows.
- Build, train, evaluate, and optimize machine learning models.
- Deploy models using ML frameworks or cloud-based AI services.
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or related fields.
- 2-3 years of hands-on experience in Python development.
- Strong understanding of AI/ML concepts, algorithms, and workflows.
- Experience with machine learning libraries (TensorFlow, PyTorch, Keras, scikit-learn).
- Proficiency in data manipulation libraries (Pandas, NumPy) and visualisation tools (Matplotlib, Seaborn).
- Experience deploying AI models into production systems.
- Familiarity with API development using frameworks like Flask or FastAPI.
- Understanding of SQL and NoSQL databases.
- Experience in Natural Language Processing (NLP) or Computer Vision (CV) projects.
- Knowledge of MLOps practices, ML model monitoring, and continuous training.
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