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Conventional AI / ML Engineers @ Infobeans

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Infobeans  Conventional AI / ML Engineers

Job Description

What will your role look like
  • Develop, train, and deploy machine learning and deep learning models across diverse business domains.
  • Work on data preprocessing, feature engineering, model experimentation, and evaluation.
  • Support model deployment, monitoring, and MLOps workflows to ensure stable production performance.
  • Collaborate with product, data, and engineering teams to translate insights into scalable, deployable ML solutions.
  • Contribute to building reusable ML components and improving end-to-end ML pipelines.
Why you will love this role
  • Opportunity to work on impactful ML solutions with real-world business applications.
  • Exposure to a wide range of machine learning, deep learning, and MLOps technologies.
  • Collaborative environment where you can influence model design, deployment strategy, and ML architecture.
  • Chance to work across the full ML lifecycle from experimentation to production.
  • A culture that encourages continuous learning, innovation, and the adoption of modern ML tools and practices.
We would like you to bring along
  • Strong proficiency in Python for machine learning and data engineering tasks.
  • Hands-on experience with core ML libraries such as scikit-learn, XGBoost, and LightGBM.
  • Experience working with deep learning frameworks like TensorFlow, PyTorch, or Keras.
  • Solid understanding of data handling tools NumPy and pandas.
  • Ability to create visualizations using Matplotlib, Seaborn, or Plotly.
  • Experience in Natural Language Processing (NLP), including text preprocessing, embeddings, and transformer-based techniques.
  • Familiarity with MLOps tools such as MLflow, Docker, or cloud-based ML services (AWS SageMaker, Azure ML, GCP Vertex).
Good-to-have skills
  • Knowledge of React or Angular for model visualization or UI integration.
  • Experience working with public cloud platforms (AWS, Azure, or GCP).
  • Understanding of CI/CD concepts and automated ML pipelines.
Location - Indore, Pune , Baner, Pune , Viman Nagar

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Platform Engineer
Employement Type: Full time

Contact Details:

Company: Infobeans
Location(s): Indore

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Keyskills:   Deep Learning AI-ML data preprocessing python natural language processing ai aws sagemaker react numpy machine learning docker pandas angular tensorflow seaborn nlp azure ml matplotlib pytorch feature engineering keras ml architecture

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Infobeans

InfoBeans Systems is a fast growing software development company with offices in Pune and Indore and business development centre in US. We develop customized business applications for large and mid-size organizations in the US. We strongly believe that customer success defines our success. Hence, we...