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KEY RESPONSIBILITIES
• Design, develop, and deploy machine learning and deep learning models
• Lead AI projects from problem definition through production deployment
• Conduct advanced research on AI/ML techniques and evaluate their applicability
• Perform complex data analysis and develop innovative feature engineering approaches
• Optimize AI models for performance, scalability, and production readiness
• Collaborate with stakeholders to translate business needs into AI solutions
• Implement MLOps practices for model monitoring and continuous improvement
• Author technical documentation and share knowledge through presentations
• Mentor Associate-level team members and support their development
• Stay current with state-of-the-art AI research and industry developments
• Ensure AI solutions comply with ethical standards and regulations
REQUIRED QUALIFICATIONS
• Bachelor's or master's degree in computer science, AI, Data Science, or related field
• 0-12 years of experience in AI/ML development and deployment
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch)
• Deep understanding of machine learning algorithms and deep learning architectures
• Experience with the full ML lifecycle from data to production
• Proficiency in data analysis and statistical modeling
• Experience with cloud AI platforms and services
• Strong problem-solving and critical thinking abilities
• Excellent communication skills for technical and non-technical audiences
• Ability to work independently and lead project initiatives
PREFERRED QUALIFICATIONS
• Master's degree or PhD in AI/ML-related field
• Experience with NLP, computer vision, or generative AI
• Published research or conference presentations
• Experience with LLMs and transformer architectures
• Track record of deploying AI solutions at scale
• Knowledge of AI ethics and responsible AI practices
Job ID: 148904409
Skills:
Python, Tensorflow, Keras, Nlp, Sql, Model Deployment
Skills:
.NET, Ml, Apis, Microservices, Tensorflow, Pytorch, Gcp, Azure, Python, AWS, RAG frameworks, LLMs, Scikit-learn, RAG Architecture, OpenAI, Cloud experience, DL frameworks
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