MLOps Engineer / ML Platform Engineer

at Aplazo
Published December 11, 2022
Location Bengaluru, India
Category Machine Learning  
Job Type Full-time  



  • Design and develop state-of-art ML model deployment and orchestration framework
  • Collaborate with the Engineering/DevOps/Data Science Team toinfluence the scope, capabilities, and roadmap of the ML Platform.
  • Build Machine Learning tools & frameworks that accelerate the Data Science Process & Model Deployment in Production.
  • R& D; on the latest Open Source Technologies & frameworks to solve complex problems & improve the existing solutions.
  • Setup A/B experiments for Data science models with varied sampling techniques
  • Build Feature Store, Model Monitoring & Deployment Infra.
  • Flexible to work on ML Modeling & End-to-End ML Pipeline Creation & Deployment in Production
  • Building a scalable, robust, & reliable ML Infrastructure.
  • Articulate & Document best practices & ML System Design Principles to mentor other developers.


  • Bachelors or Master's degree in Computer Science, IT, Statistics, Applied Mathematics & Computing, or a related field, with 3 to 6 years of relevant work experience in Machine learning, software development, and DevOps
  • Strong programming skills in Python & Machine Learning frameworks/libraries like TensorFlow, Keras, or PyTorch
  • Experience in statistical modeling, machine learning, data mining, and unstructured data analytics.
  • Understanding of ML Lifecycle, MLOps & Hands on experience to Productionize the ML Model
  • Familiarity with Big Data Technologies - Airflow, Spark & working knowledge of Kubernetes, Docker & CI/CD Pipeline Creation.
  • Exposure to Batch Processing, API Creation, Stream Processing, Pub-Sub Architecture & Understanding of SQL & NoSQL databases.
  • Detailed knowledge of object-oriented design, data structures, and algorithms.
  • Outstanding leadership, influencing, communication, interpersonal, and teamwork skills.
  • Detail-oriented, with the ability to work both independently and collaboratively.
  • Exposure to cloud infrastructures, such as GCP, Azure or AWS
  • Any prior research publication is a plus point.

Desired Skills and Experience

Data Mining,Machine Learning,NLP,Python,R,Keras,PyTorch