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Machine Learning Engineer
Machine Learning Engineer
Codemonk's logo

Machine Learning Engineer

Reshika Mendiratta's profile picture
Posted by Reshika Mendiratta
2yrs+
Upto ₹16L / yr (Varies
)
Bengaluru (Bangalore)
Skills
Computer Vision
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
skill iconPython
Generative AI
Keras
PyTorch
Scikit-Learn
skill iconData Science

Role Overview

We are seeking a passionate and skilled Machine Learning Engineer to join our team. The ideal

candidate will have a strong background in machine learning, data science, and software engineering.

As a Machine Learning Engineer, you will work closely with our clients and internal teams to develop,

implement, and maintain machine learning models that solve real-world problems.


Must Have Skills

• 2+ years of experience into Computer vision and NLP projects.

• 2+ years of experience in machine learning and Gen AI, data science, or a related field.

• Strong experience in python programming

• Understanding of data structures, data modeling and software architecture

• Deep knowledge of math, probability, statistics and algorithms

• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-

learn)

• Excellent communication skills

• Ability to work in a team

• Outstanding analytical and problem-solving skills

• BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus


Role and Responsibilities

• Study and transform data science prototypes• Design machine learning systems

• Research and implement appropriate ML algorithms and tools

• Develop machine learning applications according to requirements

• Select appropriate datasets and data representation methods

• Run machine learning tests and experiments

• Perform statistical analysis and fine-tuning using test results

• Train and retrain systems when necessary

• Extend existing ML libraries and frameworks

• Keep abreast of developments in the field

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Codemonk

Founded :
2018
Type :
Products & Services
Size :
100-1000
Stage :
Raised funding

About

We are a product engineering company that empowers other startups and enterprises by building simple and elegant software solutions. Through our expertise in the domains of AI and Enterprise Applications, we have helped brands such as Unilever, IndiaMART, GreytHR, Fyle, Skylark Drones, etc to craft world-class products and improve their business. We are churning out amazing software for our clients located across the globe from our headquarters in Bengaluru.


Codemonk is on a mission to transform the way industries work by leveraging the power of AI, Blockchain and IoT. There is something special when you know that every line of code that you write impacts thousands of human lives!


By joining us you can expect newness and challenges every day. As a member of the team, you will be part of shaping the company's future fuelling the growth and defining the culture.

Read more

Tech stack

skill iconReact.js
skill iconNodeJS (Node.js)
skill iconPython
skill iconDjango
skill iconFlutter
skill iconAmazon Web Services (AWS)
Google Cloud Platform (GCP)
TensorFlow
PyTorch

Candid answers by the company

What does the company do?
What is the location preference of jobs?
What is the tech ecosystem like at Codemonk?
What makes Codemonk’s work culture unique?

Codemonk is a global engineering and design studio that builds and scales digital products, specializing in product development, UX design, and AI/ML solutions for startups and enterprises.

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Connect with the team

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Vibha Variar
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Shubham Vishwakarma

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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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