ML Solutions Architect

2 days ago

Anantapur, Andhra Pradesh, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

As a Machine Learning Engineer, you will play a key role in designing, developing and deploying ML models that drive business outcomes. Our team is seeking an experienced professional with expertise in building and optimizing data pipelines, feature engineering, and training workflows.

We are looking for someone who can design, develop, and deploy regression, classification, clustering, and deep learning models. Additionally, the successful candidate will be responsible for deploying models to production using Docker, Kubernetes, and cloud platforms.

The ideal candidate will have 3+ years of experience in ML engineering or related field and strong proficiency in Python; knowledge of Java/Scala/R is a plus. Expertise with ML libraries/frameworks: scikit-learn, TensorFlow, PyTorch, Keras is also required.

Key Responsibilities:

  • Design, develop, and deploy ML models that meet business requirements
  • Build and optimize data pipelines, feature engineering, and training workflows
  • Deploy models to production using Docker, Kubernetes, and cloud platforms
  • Monitor model performance, retrain, and maintain production-ready systems
  • Develop APIs and integrate ML solutions with enterprise applications

Qualifications:

  • 3+ years of experience in ML engineering or related field
  • Strong proficiency in Python; knowledge of Java/Scala/R is a plus
  • Expertise with ML libraries/frameworks: scikit-learn, TensorFlow, PyTorch, Keras
  • Hands-on with data tools: Pandas, NumPy, Spark
  • Experience with ML deployment (SageMaker, Azure ML, GCP AI, TensorFlow Serving, TorchServe)
  • Familiarity with databases (SQL, MongoDB, Cassandra) and version control (Git)
  • Understanding of DevOps/MLOps practices
  • Excellent problem-solving, communication, and collaboration skills

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