Weekday AI
Posted 8 days ago
Machine Learning Engineer
BengaluruRemoteFull-time
AI Summary
Machine Learning Engineer develops and deploys ML models, with emphasis on data processing, model training/validation, and integration with production systems. Focuses on practical implementation and collaboration with FinTech domain teams.
About this role
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
Skills
AzureClassificationClusteringDatabricksDelta LakeGCPGitGitHubKerasLangChainLangGraphMLflowNLTKNumPyPandasPythonRRegressionSciKit-LearnSparkSQLTensorFlow
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