Hiring Machine Learning Engineer || 5 Years

Role - Machine Learning Engineer

Required Skills & Experience

• 5+ years of hands-on experience in building, training, and deploying machine learning models in a professional, production-oriented setting.
• Demonstrable experience with database creation and advanced querying (e.g., SQL, NoSQL), with a strong understanding of data warehousing concepts.
• Proven expertise in data blending, transformation, and feature engineering
  
  , adept at integrating and harmonizing both structured (e.g., relational databases, CSVs) and unstructured (e.g., text, logs, images) data.
• Strong practical experience with cloud platforms for machine learning development and deployment; significant experience with Google Cloud Platform (GCP) services (e.g., Vertex AI, BigQuery, Dataflow) is highly desirable.
• Proficiency in programming languages commonly used in data science (e.g., Python is preferred, R).
• Solid understanding of various machine learning algorithms (e.g., regression, classification, clustering, dimensionality reduction) and experience with advanced techniques like Deep Learning, Natural Language Processing (NLP), or Computer Vision.
• Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

Looking to get Placed? Try our Placement Guarantee Plan

Get Hired
• Familiarity with MLOps tools and practices, including model versioning, monitoring, A/B testing, and continuous integration/continuous deployment (CI/CD) pipelines.
• Experience with containerization technologies like Docker and orchestration tools like Kubernetes for deploying ML models as REST APIs.
• Proficiency with version control systems (e.g., Git, GitHub/GitLab) for collaborative development.

Interested candidates share cv to dikshith.nalapatla@motivitylabs.com