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ML Engineer/Lead | 4+ years | WINIT
ML Engineer/Lead | 4+ years | WINIT
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ML Engineer/Lead | 4+ years | WINIT

Aishwarya SURENDRAN's profile picture
Posted by Aishwarya SURENDRAN
4 - 9 yrs
₹10L - ₹30L / yr
Hyderabad
Skills
MLOps
Artificial Intelligence (AI)
skill iconMachine Learning (ML)
Generative AI
scaling

Role Overview

We are seeking an experienced Machine Learning Engineer to design, develop, deploy, and scale machine learning solutions in production environments. The ideal candidate will have strong expertise in model development, MLOps, backend integration, and scalable ML system architecture.

Key Responsibilities

  • Design, train, and deploy machine learning and deep learning models for real-world applications.
  • Build and scale ML models and pipelines to handle large datasets and high-traffic production workloads.
  • Perform data exploration, preprocessing, feature engineering, and dataset optimization.
  • Develop and integrate APIs for ML model consumption using frameworks such as FastAPI, Flask, or Django.
  • Implement end-to-end ML workflows, including experimentation, versioning, deployment, and monitoring.
  • Build scalable data pipelines and processing workflows for batch and real-time use cases.
  • Monitor model performance, drift, and system reliability in production.
  • Collaborate with data engineers, DevOps, and product teams to productionize ML solutions.

Required Skills & Qualifications

  • 5+ years of experience in Machine Learning Engineering or related roles.
  • Proven experience in training, developing, deploying, and scaling ML models in production.
  • Strong knowledge of data exploration, preprocessing, and feature engineering techniques.
  • Proficiency in Python and ML/Data Science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.
  • Experience with API development and backend integration (FastAPI, Flask, Django).
  • Solid understanding of MLOps tools and practices, including MLflow, Kubeflow, Airflow, Prefect, Docker, and Kubernetes.
  • Experience building scalable data pipelines, processing workflows, and monitoring deployed models.
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About WINIT

Founded :
1997
Type :
Product
Size :
20-100
Stage :
Profitable

About

N/A

Company social profiles

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The right person in this role has an opportunity to make a huge impact at Acceldata and add value to our future decisions. If this position has piqued your interest and you have what we described - we invite you to apply! An adventure in data awaits.

Learn more at https://www.acceldata.io/about-us">https://www.acceldata.io/about-us



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Please apply through below mentioned link.

https://forms.gle/tdBjPVZAjbyGF1u76" target="_blank">https://forms.gle/tdBjPVZAjbyGF1u76 
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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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