AI/ML Engineer

WillWare Technologies

Dadri

On-site

INR 1,200,000 - 2,400,000

Full time

8 days ago

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Job summary

Willware Technologies is seeking an experienced AI/ML Engineer in Noida to design, develop, and deploy machine learning models. The role involves building data pipelines, feature engineering, and applying NLP/vision and generative AI techniques across production systems.

Requirements include 4–6 years of hands-on AI/ML engineering, strong Python skills, experience with ML frameworks, and cloud platform deployment. Collaborations with data engineers and product teams are essential.

Qualifications

  • 4–6 years of hands-on AI/ML engineering experience.
  • Proficient in Python with data processing libraries.
  • Experience deploying ML models in production.
  • Familiar with ML frameworks and cloud services.
  • Ability to work across data engineers and product teams.

Responsibilities

  • Design, develop, and deploy ML and DL models.
  • Build data pipelines and feature engineering workflows.
  • Implement ML algorithms including classification, regression, clustering, NLP, and recommender systems.
  • Work with LLMs and Generative AI and fine-tuning.
  • Optimize model performance and tune hyperparameters.
  • Deploy models using Docker, CI/CD and cloud services.
  • Collaborate with data engineers, product teams, and software developers to productionize models.
  • Research and experiment with new AI/ML technologies.

Skills

Python
TensorFlow
PyTorch
Keras
NLP
Computer vision
ML Ops
Cloud Platforms
Statistics
SQL/NoSQL
End-to-end AI

Tools

Docker
CI/CD
AWS
Azure
GCP

Job description

Job Description - AI/ML Engineer

Company: Willware Technologies

Role: AI/ML Engineer

Location: Noida

Experience: 4 - 6 Years

About the Role

We are looking for an experienced AI/ML Engineer with strong hands-on expertise in building, training, and deploying machine learning models and AI-driven solutions. The ideal candidate will have a solid background in Python, data engineering, ML frameworks, and cloud platforms.

Key Responsibilities
  • Design, develop, and deploy Machine Learning and Deep Learning models.
  • Build data pipelines, data preprocessing workflows, and feature engineering processes.
  • Implement ML algorithms such as classification, regression, clustering, NLP, and recommendation systems.
  • Work with LLMs, Generative AI, and model fine-tuning when required.
  • Optimize model performance, evaluate metrics, and perform hyperparameter tuning.
  • Deploy ML models using Docker, CI/CD pipelines, and cloud services (AWS/Azure/GCP).
  • Collaborate with data engineers, product teams, and software developers to integrate models into production systems.
  • Research and experiment with new AI/ML technologies, tools, and frameworks.
Required Skills
  • Strong programming skills in Python (NumPy, Pandas, Scikit-learn).
  • Hands‑on experience with TensorFlow, PyTorch, Keras, or similar frameworks.
  • Experience in NLP, computer vision, or generative AI projects.
  • Knowledge of ML Ops, model deployment, and cloud platforms (AWS/GCP/Azure).
  • Good understanding of statistics, probability, and data modelling.
  • Experience with SQL/NoSQL databases and data processing tools.
  • Ability to build end‑to‑end AI/ML solutions independently.
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