
AI/ML Engineer
1 week ago
- Design, develop, and implement
AI/ML models and algorithms
. - Build
Proof of Concept (POC)
applications to demonstrate feasibility and business value. - Write
clean, efficient, and well-documented code
. - Collaborate with data engineers to ensure
data quality
for 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 up-to-date with the latest
AI/ML advancements
. - Develop models using
TensorFlow, PyTorch, or Scikit-learn
. - Deploy AI solutions on
Google Cloud Platform (GCP)
. - Perform
data preprocessing and feature engineering
using Pandas, NumPy, etc. - Use
Vertex AI
for training, deployment, and model lifecycle management. - Integrate and leverage
Google Gemini
for specialized AI functionalities.
Qualifications
- Bachelor's degree in
Computer Science, Artificial Intelligence, or related field
. - 3+ years
of experience in AI/ML model development and implementation. - Strong programming skills in
Python
. - Hands-on with
TensorFlow, PyTorch, or Scikit-learn
. - Solid understanding of
machine learning concepts and techniques
. - Strong problem-solving and debugging skills.
- Good
communication skills
and ability to work both independently and in a team. - Experience with
Google Cloud Platform (GCP)
preferred. - Familiarity with
Vertex AI
is a plus.
Screening Questions (Mandatory to be filled by candidates)
- How many years of experience do you have in
ML projects (Predictive Analytics)
? - How many projects have you worked on that were
deployed and used by stakeholders
? (Deployment knowledge not mandatory) - Do you have any experience/knowledge in
Deep Learning (DL), Generative AI (GenAI), or NLP
? Please provide a
self-rating (out of 5)
for the following:Python
- SQL
- Cloud Platform (AWS/GCP/Azure)
-
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