Conventional AI / ML Engineers
- Infobeans
- 2 - 7 years
- Indore
- 6 days ago
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Job Description
- 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.
- 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.
- 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).
- 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data Platform EngineerEmployement Type: Full timeContact Details:
Company: InfobeansLocation(s): Indore
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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