Machine Learning Engineer

6 days ago


Abu Dhabi, Abu Dhabi, United Arab Emirates Presight AI Ltd Full time

**About Us**

We are a team of innovators and problem-solvers dedicated to harnessing the power of AI to drive business growth and operational efficiency. Our company culture values diversity, inclusivity, and collaboration, and we're committed to fostering a work environment that encourages personal growth and innovation.

**The Role**

We're seeking a Data Scientist with a strong background in machine learning and deep learning to join our team. As a key member of our data science team, you will be responsible for developing and delivering diverse data products, including recommendation engines, predictive models, business-logic automation, and machine learning.

**Responsibilities:**

  1. Collaborate with stakeholders to understand business needs and translate them into well-defined data science problems.
  2. Identify relevant data sources and assess their quality and suitability for analysis.
  3. Perform exploratory data analysis (EDA) to uncover patterns, trends, and anomalies.
  4. Clean, transform, and process data to ensure its readiness for modeling.
  5. Design and implement feature engineering techniques to extract meaningful information from raw data.
  6. Develop and maintain data pipelines for efficient data ingestion and processing.
  7. Select and apply appropriate machine learning algorithms (e.g., regression, classification, clustering) to build predictive and prescriptive models.
  8. Experiment with and evaluate different models to select the best approach for each use case.
  9. Optimize models for performance, accuracy, and scalability.
  10. Deploy models to production environments (e.g., Azure ML/ Containerized ML Model with REST Endpoint) and monitor their performance.
  11. Familiarity with LLM application libraries and frameworks (e.g., LangChain, LlamaIndex, Dify).
  12. Experience working with deep learning models and libraries, as well as GPU acceleration libraries (e.g., CUDA, cuDNN) for optimizing model training and inference.

**Requirements:**

  1. Bachelor's Degree in Artificial Intelligence, Data Science, Machine Learning, Computer Science, Mathematics, or related field.
  2. 5+ years of experience in an Applied Data Scientist or related role.
  3. An insatiable curiosity and a learning mindset that enable you to thrive in a fast-paced and dynamic environment.
  4. Expert-level proficiency in Python.
  5. Proven track record of developing and deploying production-ready machine learning models.
  6. Experience with model optimization, deployment, and monitoring.

**Career Growth**

We believe in fostering a culture of continuous learning and professional growth. Our team members have access to ongoing training and development opportunities, allowing them to stay up-to-date with the latest advancements in AI and machine learning.



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