Weekday AI
FinTech
MachineLearningEngineer
Neural analysis suggests this role is
optimal for Entry candidates.
“Machine Learning Engineer at Weekday AI. Skills: Machine Learning, Python, Generative AI. Understand Generative AI. Understand Large Language Models”
Industry & Context.
What They're Looking For.
Must Have
Bachelor’s degree or higher, Python, Scikit-learn, NLTK, NumPy, Pandas, TensorFlow, Keras, R, Spark, version control systems, Git, GitHub, production-quality code, Generative AI, Large Language Models (LLM), classification, regression, clustering, training and validation processes, visualizing and handling large datasets, SQL
Nice to Have
experience working in the FinTech or Credit Card industry, Databricks Delta Lake architecture, MLflow, Azure, GCP, LangChain, LangGraph
What You'll Do.
Understand Generative AI
Understand Large Language Models
Understand machine learning techniques
Visualize large datasets
Handle large datasets
Full Job Description
**This role is for one of the Weekday's clients** Min Experience: 2+ years Location: Bengaluru JobType: full-time **Requirements** **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. ### Required Skills Python, Classification, Regression, Clustering ### Preferred Skills LangChain, LangGraph, TensorFlow, Pandas
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