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AI/Machine Learning Expert
2 weeks ago
We are seeking an experienced AI/ML Engineer II to drive business value and innovation. The ideal candidate will have expertise in designing, developing, and deploying cutting-edge machine learning models.
Main Responsibilities:
- Develop and optimize machine learning and deep learning models for large-scale datasets.
- Implement scalable, production-ready AI solutions that integrate into existing systems.
- Fine-tune and evaluate models on large datasets to improve accuracy, efficiency, and robustness.
- Collaborate with software engineers, data scientists, and product teams to align AI models with business needs.
- Work with healthcare and claims data to build high-performance AI systems.
- Develop and maintain MLOps pipelines for training, deploying, and monitoring AI models.
- Troubleshoot and resolve AI/ML engineering challenges, ensuring models perform effectively in production.
- Stay up-to-date with advancements in Generative AI, LLMs, and deep learning to continuously improve AI solutions.
- Document AI/ML workflows, methodologies, and best practices for internal knowledge sharing.
Requirements:
- Bachelors or Masters in a quantitative field such as Computer Science or Data Science or related disciplines.
- Minimum of 3+ years' experience in data science/ML role, with a track record of delivering impactful solutions in a production environment.
- Proficiency in programming languages like Python, R, and SQL, with experience in building scalable and efficient ML/NLP workflows.
- Deep understanding and hands-on experience in Machine Learning, Deep Learning, and Natural Language Processing.
- Experience in working with state-of-the-art Generative AI models, including model finetuning and evaluation techniques.
- Data management knowledge, including data pre-processing, augmentation, and generation of synthetic data.
- Cloud computing and deployment knowledge for deploying and managing AI applications on cloud platforms.
Key Skills:
- Problem-solving skills for designing and implementing novel AI solutions.
- Collaboration and communication skills for articulating technical details and project needs.
- Continuous learning skills for keeping up with the latest research, tools, and techniques in Generative AI.
- Patience and persistence skills for staying motivated, even when facing setbacks.
- Excellent interpersonal and communication skills, with strong written and verbal presentation.
- Proven ability to take ownership and lead multiple engagements with minimal oversight.
- Ability to synthesize complex concepts into understandable and actionable solutions.