
Expert Machine Learning Architect
1 week ago
This is an exciting opportunity to work on large-scale AI solutions.
Key Responsibilities:
- Design and develop custom machine learning and deep learning models for business-specific problems (NLP, computer vision, predictive modeling, recommendation systems).
- Build and maintain scalable AI/ML pipelines for data ingestion, preprocessing, training, testing, deployment, and monitoring.
- Collaborate with cross-functional teams to integrate AI solutions into real-world products.
- Ensure high-performance, scalable, and production-ready deployment using MLOps practices.
- Optimize models with advanced techniques (hyperparameter tuning, distributed training, GPU optimization).
- Contribute to research initiatives and adopt the latest innovations in LLMs and automation frameworks.
- Document technical processes, architectures, and pipeline workflows for reproducibility and knowledge sharing.
Requirements:
- Bachelor's/Master's in Computer Science, Artificial Intelligence, Data Science, or related field.
- 5+ years of hands-on experience in developing AI/ML solutions.
- Strong programming expertise in Python and frameworks like PyTorch, TensorFlow, Scikit-learn.
- Proven track record in building and managing ML pipelines.
- Proficiency in data preprocessing, feature engineering, and model evaluation techniques.
- Hands-on experience with cloud AI/ML platforms.
- Familiarity with containerization and orchestration.
- Strong problem-solving ability and ability to work independently.
Preferred Skills:
- Experience in fine-tuning Large Language Models.
- Exposure to real-time/streaming data processing.
- Knowledge of microservices and API development for model integration.
- Experience with generative AI and reinforcement learning techniques.
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