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Work Mode

On-site

Job Type

Part Time

Job Description

Location: Chennai

Employment Type: Contract to Hire

Experience - 3yrs to 6yrs

Are you passionate about building intelligent systems and exploring cutting-edge AI solutions? We’re looking for a Mid-Level AI Engineer to design, develop, and implement AI/ML models that drive innovation and business impact.

Key Responsibilities

Design, develop, and implement AI/ML models and algorithms.

Build Proof of Concept (POC) applications to demonstrate the feasibility of AI solutions.

Write clean, efficient, and well-documented code.

Collaborate with data engineers to ensure data quality and availability for model training and evaluation.

Work closely with senior team members to translate requirements into scalable technical solutions.

Troubleshoot and debug AI/ML models and applications.

Stay updated with the latest advancements in AI/ML technologies.

Utilize frameworks like TensorFlow, PyTorch, and Scikit-learn for model development and deployment.

Develop and deploy AI solutions on Google Cloud Platform (GCP).

Perform data preprocessing and feature engineering using Pandas and NumPy.

Work with Vertex AI for model training, deployment, and lifecycle management.

Integrate Google Gemini for enhanced AI functionalities.

Qualifications

Bachelor’s degree in Computer Science, Artificial Intelligence, or related field.

3+ years of experience in developing and implementing AI/ML models.

Strong programming skills in Python.

Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.

Good understanding of machine learning concepts and techniques.

Ability to work both independently and collaboratively in a team environment.

Excellent problem-solving and communication skills.

Experience with Google Cloud Platform (GCP) preferred.

Familiarity with Vertex AI is an added advantage

Interested Candidates Apply at ashika@aegan-global.com / +91 9677254444

Job Type: Contractual / Temporary

Benefits:

  • Health insurance
  • Provident Fund

Work Location: In person

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