AI / ML Engineer

V2 Solutions

Hinoba-an

On-site

PHP 1,200,000 - 2,000,000

Full time

14 days+

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Job summary

V2 Solutions seeks an AI/ML Engineer to develop applications and systems that leverage AI tools and cloud AI services, with production-ready pipelines and GenAI model integration. The role spans deep learning, neural networks, chatbots, and image processing to enhance functionality and efficiency.

The candidate will engage in producing production-ready pipelines, ensure quality of applications, and explore advanced AI technologies to improve system performance.

Qualifications

  • Must Have Skills: Proficiency in Machine Learning Operations.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Strong understanding of AI frameworks/libraries such as TensorFlow, PyTorch, or Keras.
  • Familiarity with containerization (Docker) and orchestration (Kubernetes).
  • Minimum 5 years of experience in Machine Learning Operations.
  • Education: 15 years full-time education.

Responsibilities

  • Act as SME, collaborate and manage the team to perform.
  • Make team-level decisions and guide projects.
  • Engage with multiple teams and contribute on key decisions.
  • Provide solutions to problems for the team and across teams.
  • Mentor and share knowledge within the team to foster collaboration.
  • Continuously evaluate and implement new technologies to improve system performance.

Skills

Machine Learning Operations
AWS
Azure
Google Cloud
TensorFlow
PyTorch
Keras
Docker
Kubernetes
GenAI models

Education

15 years full time education

Tools

Docker
Kubernetes

Job description

About The Role

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education

Summary

As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve creating production-ready pipelines, ensuring the quality of applications, and integrating generative AI models into solutions. You will also explore various advanced technologies such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and efficiency of the systems you develop.

Roles & Responsibilities
  • Expected to be an SME, collaborate and manage the team to perform.
  • Responsible for team decisions.
  • Engage with multiple teams and contribute on key decisions.
  • Provide solutions to problems for their immediate team and across multiple teams.
  • Facilitate knowledge sharing and mentoring within the team to foster a collaborative environment.
  • Continuously evaluate and implement new technologies to improve system performance and efficiency.
Professional & Technical Skills
  • Must To Have Skills: Proficiency in Machine Learning Operations.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Strong understanding of AI frameworks and libraries such as TensorFlow, PyTorch, or Keras.
  • Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
  • Ability to design and implement scalable machine learning models and pipelines.
Additional Information
  • The candidate should have minimum 5 years of experience in Machine Learning Operations.
  • This position is based at our Bengaluru office.
  • A 15 years full time education is required. Qualification 15 years full time education
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