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3 weeks ago
What would you be doing/ Expected from this role ?
- Collaborate with cross-functional teams including data scientists, engineers, and product managers to deliver AI-driven solutions.
- Drive the architecture of machine learning pipelines from data collection and preprocessing to model training, evaluation, and deployment.
- Implement scalable machine learning solutions using cloud infrastructure (AWS, GCP, Azure) and big data technologies (Spark, Hadoop).
- Develop and maintain model monitoring, alerting systems, and frameworks to ensure optimal performance in production.
- Stay up to date with the latest trends in AI and machine learning, identifying opportunities for innovation and improvement.
- Work on improving model interpretability, fairness, and bias mitigation in alignment with ethical AI practices.
- Collaborate on the development of internal tools and libraries that facilitate the use of machine learning models across the organization.
- Conduct code reviews, optimize algorithms, and ensure the scalability and reliability of machine learning Skills :
- Experience in LLM technologies, computer vision and ML algorithms.
- Knowledge of data governance and ethical AI principles.
- Familiarity with real-time data streaming technologies (Kafka, Flink, etc.).
Who are we looking for ?
- Bachelors degree in computer science or equivalent practical experience.
- Must be able to work independently and enjoy working at a fast-paced start-up environment who is adept at experimenting with new technologies.
- Must have excellent communication (verbal & written), interpersonal, leadership, and problem-solving skills.
(ref:hirist.tech)-
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