This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are looking for talented AI/ML Solutions Engineer who are passionate and know-how the process of building scalable and secure functionality on top of the technology platform. You will be associated with a qualified and experienced pool of people with whom you will build correlations by sharing your experience and growing your capabilities. Primary Objectives: Rapidly Implement State-of-the-Art AI and Machine Learning Models to Enhance Graphic Design and Marketing Solutions
Job Responsibility:
Model Selection: Choose and evaluate pre-trained AI models for specific tasks
Data Preparation: Work with data teams to ready data for model training
Algorithm Tuning: Fine-tune and optimize machine learning algorithms
System Integration: Embed AI components into existing software solutions
Testing: Validate the performance and efficacy of AI implementations
Performance Monitoring: Use analytics to track AI feature performance and make adjustments
Documentation: Briefly document the development process and algorithms used
Requirements:
Min. 1 to 5 years experience
Bachelor’s Degree in Computer Science or Computer Engineering, B.Tech (CSE/ IT), M.Tech (CSE/IT), B.E. (CE/IT), M.E.(CE/IT)
1 to 5 years of experience in in the technological role
Python Programming: Proficiency in Python, commonly used for AI and machine learning projects
Machine Learning Frameworks: Experience with TensorFlow, PyTorch, or scikit-learn
Data Manipulation: Skills in data cleaning, transformation, and preparation using tools like Pandas or SQL
Software Development: Strong foundational skills, including version control, debugging, and testing
API Integration: Experience with RESTful APIs or similar technologies for integrating machine learning models
Cloud Computing: Familiarity with platforms like AWS
Data Visualization: Basic skills in data visualization tools for analyzing data and model performance
Statistical Analysis: Understanding of statistical methods for evaluating models and performance
Teamwork & Communication: Ability to collaborate effectively in cross-functional teams and communicate technical concepts
Continuous Learning: Willingness to stay current with advancements in AI and machine learning