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3Pillar Global

Senior AI/ML Engineer - Contract role

Posted 15 Days Ago
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Remote
Hiring Remotely in India
Senior level
Remote
Hiring Remotely in India
Senior level
As a Senior AI/ML Engineer, you will develop and implement AI/ML solutions, collaborate with teams, and mentor junior engineers while optimizing models for improved business outcomes.
The summary above was generated by AI

Embark on an exciting journey into the realm of software development with 3Pillar! We extend an invitation for you to join our team and gear up for a thrilling adventure. As a senior AI/ML engineer,  you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries.


If you are passionate about discovering solutions hidden in large data sets to improve business outcomes, consider this your pass to the captivating world of Data Science and Engineering! 🚀💻

Key Responsibilities:

  • Collaborate with product managers, data scientists, and software engineers to identify AI/ML opportunities and develop innovative solutions.
  • Implement and deploy AI/ML algorithms and models into production environments.
  • Optimize and fine-tune AI/ML models to improve accuracy and efficiency.
  • Conduct experiments, perform data analysis, and present findings to stakeholders.
  • Develop and maintain documentation for AI/ML algorithms, models, and solutions.
  • Stay up-to-date with the latest AI/ML research and technologies and apply them to improve our platform.
  • Mentor and provide technical guidance to junior AI/ML engineers or team members.

Qualification:

  • 4+ years of experience in building AI models with ML, NLP and deep learning.
  • Strong knowledge of AI/ML techniques, algorithms, and frameworks.
  • Cloud platforms such as AWS, Azure, or Google Cloud.
  • Libraries: PyTorch, TensorFlow, and Scikit-Learn.
  • Solid understanding of machine learning concepts, algorithms, and statistical methods.
  • Computer vision libraries (OpenCV, etc.)
  • NLP libraries (spaCy, Hugging Face, etc.)
  • MLOps practices and experience with CI/CD tools.
  • Good Software Engineering Background
  • Visualization tools: PowerBI, Tableau, AWS QuickSight etc.

  • Mandatory Skills:

  • Agentic AI
  • RAG
  • Prompt Engineering
  • Pytorch
  • Streamlit
  • LangChain

Top Skills

AI
AWS
Aws Quicksight
Azure
Ci/Cd
Deep Learning
GCP
Hugging Face
Langchain
Ml
Mlops
Nlp
Opencv
Power BI
PyTorch
Scikit-Learn
Spacy
Streamlit
Tableau
TensorFlow

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