Machine Learning Engineer

We're looking for

Machine Learning Engineers!

Requirements

• A Bachelor's degree or higher from an accredited university, completed and verified before the start date.
• Preferably, experience working in the FinTech or Credit Card industry.
• Familiarity with Data Science tools and frameworks such as Python, Scikit-learn, NLTK, NumPy, Pandas, TensorFlow, Keras, R, and Spark.
• Strong foundation in software engineering principles, including version control systems (e.g., Git, GitHub), workflows, and the ability to write production-quality code.
• A clear understanding of Generative AI and various Large Language Models (LLM).
• Experience with Databricks Delta Lake architecture and MLflow is a plus.
• Good knowledge of cloud infrastructure platforms such as Azure or GCP.
• Solid understanding of machine learning techniques, including classification, regression, and clustering.
• Holds a BS, MS, or PhD in Computer Science or a related field, or possesses equivalent practical experience.
• Comprehension of machine learning concepts such as training and validation processes.
• Expertise in visualizing and handling large datasets.
• Proficiency in data querying and processing tools, such as SQL.

(

*Note:

Scoutit is an independent candidate sourcing partner for this hiring. All applications, candidate screening, and hiring-related actions are conducted directly by the respective employer’s authorized recruitment team. Relevant candidates will be contacted via email and asked to fill in additional details as part of the next stage of the application process.)

Skills: data,application,learning,machine learning