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Machine Learning Engineer
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Machine Learning Engineer

Vrishti V's profile picture
Posted by Vrishti V
5 - 8 yrs
₹5L - ₹15L / yr
Mumbai, Bengaluru (Bangalore)
Skills
skill iconMachine Learning (ML)
skill iconPython
PyTorch
Artificial Intelligence (AI)
TensorFlow
MLOps
Large Language Models (LLM)
AML

Machine Learning Engineer | 3+ Years | Mumbai (Onsite)

Location: Ghansoli, Mumbai

Work Mode: Onsite | 5 days working

Notice Period: Immediate to 30 Days preferred


About the Role

We are hiring a Machine Learning Engineer with 3+ years of experience to build and deploy prediction, classification, and recommendation models. You’ll work on end-to-end ML pipelines and production-grade AI systems.


Must-Have Skills

  • 3+ years of hands-on ML experience
  • Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow / PyTorch)
  • Experience with feature engineering, model training & evaluation
  • Hands-on with Azure ML / Azure Storage / Azure Functions
  • Knowledge of modern AI concepts (embeddings, transformers, LLMs)


Good to Have

  • MLOps tools (MLflow, Docker, CI/CD)
  • Time-series forecasting
  • Model serving using FastAPI


Why Join Us?

  • Work on real-world ML use cases
  • Exposure to modern AI & LLM-based systems
  • Collaborative engineering environment
  • High ownership & learning opportunities
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About Tekit Software solution Pvt Ltd

Founded :
2017
Type :
Services
Size
Stage :
Raised funding

About

TekIT Software Solutions, headquartered in Indore, is a growing IT services company specializing in web and mobile application development, custom software solutions, and IT staffing. Since 2018, we have partnered with clients across various industries to deliver innovative and scalable digital solutions.  

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Candid answers by the company

What is the location preference of jobs?

Pan India

Company social profiles

N/A

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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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