AI Engineer (Mid-Level)

Responsibilities:

- Design, develop, and implement AI/ML models and algorithms.
- Build Proof of Concept (POC) applications to showcase feasibility and value of AI solutions.
- Write clean, productive, and well-documented code.
- Collaborate with data engineers to ensure data quality for model training and evaluation.
- Work with senior team members to understand requirements and contribute to technical solutions.
- Troubleshoot and debug AI/ML models and applications.
- Stay current with AI/ML advancements.
- Use ML frameworks (TensorFlow, PyTorch, Scikit-learn) for model development and deployment.
- Deploy AI solutions on Google Cloud Platform (GCP).
- Implement data preprocessing and feature engineering with Pandas and NumPy.
- Utilize Vertex AI for training, deployment,



and management.
- Integrate Google Gemini for specific AI functionalities.

Qualifications:

- Bachelor's degree in Computer Science, AI, or related field.
- 3+ years of experience in AI/ML model development.
- Strong Python programming skills.
- Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Solid understanding of machine learning concepts.
- Ability to work both independently and in teams.
- Strong problem-solving and communication skills.
- Experience with GCP preferred.
- Familiarity with Vertex AI is a plus.

📌 Consultant - Data Scientist (Secunderabad)
🏢 Thryve Digital
📍 Secunderabad