MACHINE LEARNING - OPS

IMAGE Placements

Responsibilities:

 Understanding business objectives and developing models that help to achieve them, along

with metrics to track their progress

 Implementing data science prototypes by applying appropriate ML algorithms and tools

 Running hypothesis tests, performing statistical analysis, and interpreting test results

 Solving complex problems with multi-layered data sets, as well as optimizing existing

machine learning libraries and frameworks

 Analysing the ML algorithms that could be used to solve a given problem and ranking them

by their success probability

 Documenting machine learning processes and keeping abreast of developments in machine

learning & ML-Ops

 Assessing, implementing & deploying cloud infrastructure, data pipelines to meet deadlines

and the business objectives while minimizing costs

 Deploying ML pipelines to production using CI/CD, and scaling ML algorithms to analyse

huge volumes of historical data to make predictions in a batch or streaming environment

while meeting the required SLAs

 Consulting with client partners to assess their current ML-Ops maturity, answer any

questions they may have, and design an ML-Ops strategy (roadmap, tech stack & associated

nuances) to meet their requirements

Skills & Requirements:

 Bachelor's/ Master’s degree in computer science, data science, mathematics, or a related

field

 At least 2-3 years' experience as a machine learning engineer

 Experience in deploying models on the cloud, and awareness of tools like Sagemaker, ML-

Flow and other ML-Ops tools

 Advanced proficiency with Python & PySpark

 Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and

software architecture. Knowledge of deep learning framework such as TensorFlow/PyTorch

is a plus

 In-depth knowledge of mathematics, statistics, and algorithms

 Superb analytical and problem-solving abilities

 Great communication and collaboration skills

 Excel

• Experience

  2 - 3 Years

• No. of Openings

  1

• Education

  B.E, M.Tech

• Role

  Machine Learning

• Industry Type

  IT-Hardware & Networking / IT-Software / Software Services

• Gender

  [ Male / Female ]

• Job Country

  India

• Type of Job

  Full Time

• Work Location Type

  Work from Home