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/ Masters 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