Machine Learning Engineer Specialist

4 days ago


India Appizion Consulting & Solutions Full time
Job Title: Machine Learning Engineer Specialist

Company Overview:
Appizion Consulting & Solutions is a leading provider of innovative technology solutions, dedicated to harnessing the power of machine learning to drive business success.

Job Description:
We are seeking an experienced Machine Learning Engineer Specialist to join our team. As a key member of our data science and engineering department, you will play a crucial role in developing, optimizing, and deploying machine learning models that power our solutions. You will collaborate closely with other engineers and data scientists to solve challenging problems and deliver impactful results. Your primary responsibilities will include:
  • Design, develop, and optimize machine learning models for various tasks, including training, inference, and deployment.
  • Preprocess, clean, and engineer features from diverse data sources, both structured and unstructured.
  • Optimize model performance for speed and accuracy, ensuring scalability in production environments.
  • Collaborate with DevOps teams to seamlessly integrate ML models into production workflows.
  • Utilize tools like MLflow, DVC, or similar platforms for model versioning, tracking experiments, and managing model lifecycle.

Required Skills and Qualifications:
To succeed in this role, you will need:
  • 3 years of hands-on experience in building and deploying machine learning models in production environments.
  • Strong programming skills in Python.
  • Proficiency in TensorFlow, PyTorch, Scikit-learn, or other relevant ML frameworks and libraries.
  • Deep understanding and practical experience with feature engineering techniques.
  • Expertise in model evaluation metrics, hyperparameter tuning, and model optimization strategies.
  • Familiarity with MLflow, DVC, or similar model versioning and experiment tracking tools.
  • Experience working with large-scale datasets and distributed computing frameworks like Spark.
  • Exposure to cloud-based ML services, particularly AWS SageMaker, or similar platforms (e.g, Google Cloud AI Platform, Azure Machine Learning).
  • Understanding of DevOps principles and experience with MLOps practices for deploying and managing ML models in production.
  • Excellent communication and collaboration skills to work effectively in a team environment.

Benefits:
We offer a competitive compensation package, comprehensive benefits, and opportunities for professional growth and development.



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