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Staff Machine Learning Engineer - Python

Acumont Solutions
8 - 15 Years
Multiple Locations

Posted on: 18/06/2026

Job Description

Job Title : Staff Machine Learning Engineer - Content Team


Location : Gurgaon, India (Hybrid)


Job Type : Permanent


In this Role, you will get to :


- Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes.


- Build, administer and scale ML processing pipelines.


- Be comfortable navigating the following technology stack: Python3, Pyspark, scripting (Bash/Python), Hadoop, SQL, S3 etc.


- Should be able to understand internals of ML models such as Random Forest, CNN, Regression models, etc


- Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality.


- Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks.


- We believe in end-to-end ownership; this role will involve taking ML models to production at a scale.


What You'll need to Succeed :


- Bachelor's degree in computer science /information systems/engineering/related field


- 8+ years of experience in software engineering with a minimum of 4+ years in ML


- Good experience in Pyspark


- Expert level understanding of Python with design patterns and object-oriented programming.


- Experience debugging and reasoning about production issues is desirable.


- A good understanding of data architecture principles preferred.


- Any other experience with Big Data technologies / tools


- SQL experience


- Analytical problem-solving capabilities & experience.


- Systems administration skills in Linux


- A strong engineering driven mindset will be required to succeed in this role.


It's great if you have :


- Good understanding of Hadoop ecosystems


- Experience working with Open-source products


- Experience with Scala development


- Working in an agile environment using test driven methodologies


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