The MetroMax Group
2 weeks ago
Responsibilities :
AI Model Development and Deployment :
- Design, build, and deploy state-of-the-art AI models for diverse use cases (e.g, natural- language processing, recommender systems, generative AI using deep learning and large- language models (LLMs)).
- Select and implement appropriate deep learning, reinforcement learning, or other AI- techniques based on the problem and data characteristics.
- Train and evaluate models on the AWS platform using services like Amazon Sage Maker and- Machine Learning (ML) Compute.
- Help operationalize models into production systems for real-me prediction and decision making.
Data Expertise and Infrastructure :
- Analyse and extract meaningful insights from complex datasets stored on AWS services (S3,- Redshift, etc.) using SQL, Python, and relevant programming languages.
- Explore data to identify patterns, trends, and anomalies relevant to AI model development.
- Collaborate with data engineers and AI engineers to ensure efficient data pipelines and- infrastructure for seamless integra on of new AI models.
Collaboration and Communication :
- Communicate the insights and implications of your AI models to stakeholders in a clear- and concise manner, bridging the gap between technical expertise and clinicians.
- Stay up to date on the latest advancements in AI research and translate them into practical- applications for the company.
- Other responsibilities as assigned.
Qualifications :
- 3 to 8 years of experience as a Data Scientist or similar role, with a strong focus on AI and machine- learning.
- Proven experience in designing and implementing production-grade AI models.
- In-depth understanding of deep learning, reinforcement learning, or other relevant AI- techniques.
- Expertise in Python and familiarity with AI libraries such as TensorFlow, PyTorch, etc.
- Strong understanding of statistical and machine learning methods.
- Excellent communication and collaboration skills.
- Experience with cloud-based development- methodologies (CI/CD) is a plus.
- Relevant AWS certifications (e.g ,AWS Certified Machine- Learning).
- Experience with specific AI applications relevant to our company's domain.
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