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Ai Ml Engineer @ Infobeans

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 Ai Ml Engineer

Job Description

Key Responsibilities:

  • Develop, train, and deploy machine learning and deep learning models across various business domains.
  • Work on data preprocessing, feature engineering, and model evaluation.
  • Support model deployment, monitoring, and MLOps workflows.
  • Collaborate with product and data teams to translate data insights into deployable ML solutions.

Required Skills:

  • Programming: Strong proficiency in Python.
  • Core ML Libraries: scikit-learn, XGBoost, LightGBM
  • Deep Learning Frameworks: TensorFlow, PyTorch, Keras
  • Data Handling: NumPy, pandas
  • Visualization: Matplotlib, Seaborn, Plotly
  • Natural Language Processing (NLP): Experience in text preprocessing, embeddings, and basic transformer models.
  • MLOps & Deployment: Familiarity with MLflow, Docker, or cloud-based ML services (AWS SageMaker, Azure ML, GCP Vertex).
  • Tech Plus: Knowledge of React or Angular for model visualization and integration will be an added advantage.
  • Knowledge of Public cloud will be a big plus

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time

Contact Details:

Company: Infobeans
Location(s): Indore

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Keyskills:   Artificial Intelligence Machine Learning Natural Language Processing Deep Learning Python

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