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Senior AI Engineer at Jobs for Humanity – Coimbatore | Jobyssey

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Senior AI Engineer

Senior AI Engineer

Jobs for Humanity · Coimbatore, TN, in · 1 year ago

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Seniority: Senior
Category: AI engineering
Experience: 2+ years

ai aws azure cloud computer-vision data-science deep-learning feature-engineering gcp java keras llm

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Job Description: Senior AI Engineer(2 to 4 years)

Educational Background:

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

Required Skills:

Programming Proficiency: Strong programming skills in Python or other relevant languages (e.g., R, Java).
AI Frameworks: Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or Keras.
Machine Learning Algorithms: Practical knowledge of machine learning algorithms like linear regression, decision trees, random forests, and SVM.
Deep Learning Concepts: Experience working with deep learning models such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
Data Handling: Expertise in data preprocessing, feature engineering, and model evaluation.
Problem-Solving: Strong analytical and problem-solving skills to tackle complex AI problems.
Independent and Team Work: Ability to work independently and collaboratively within a team environment.
Up-to-date Knowledge: Staying current with the latest AI research, technologies, and best practices to ensure relevant and effective AI solutions.
Communication: Excellent verbal communication skills for explaining technical concepts and AI model results clearly.
Specialized Skills:
- Experience in Computer Vision, Deep Learning, Machine Learning, Natural Language Processing (NLP), and Large Language Models (LLMs).
- Vector Databases (VectorDB) and Retrieval-Augmented Generation (RAG) models: Practical experience in developing and working with these technologies.

Bonus Skills:

NLP or Computer Vision: Experience in developing AI models for natural language processing or computer vision applications.
Cloud Platforms: Familiarity with cloud platforms such as AWS, GCP, or Azure for deploying AI models.