Associate AI/ML Engineer

Devsinc is looking for an enthusiastic and driven Associate AI/ML Engineer to join our team. In this role, you will support the development and implementation of AI and machine learning models, contributing to innovative solutions that enhance our products and services.

Key Responsibilities:

• Assist in designing and developing machine learning models for various use cases, including natural language processing (NLP) and computer vision.
• Collaborate with senior engineers to gather requirements, perform data analysis, and implement ML algorithms.
• Participate in model training, evaluation, and testing, ensuring high accuracy and performance.
• Work with large datasets to preprocess and clean data, preparing it for modeling tasks.
• Contribute to project documentation and share knowledge about machine learning best practices.
• Stay updated on industry trends and emerging technologies in AI and machine learning.
• Support the deployment of machine learning models into production environments.

Requirements

Requirements:

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Basic understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Proficiency in Python programming, with a focus on data manipulation and analysis.
• Familiarity with data preprocessing techniques, data cleaning, and feature engineering.
• Exposure to natural language processing (NLP) or computer vision is a plus.
• Basic knowledge of cloud platforms (AWS, Azure, GCP) is a plus.
• Strong analytical and problem-solving skills, with a keen attention to detail.
• Excellent communication skills and the ability to work collaboratively in a team environment.
• Desire to learn and grow in the field of artificial intelligence and machine learning.

Join Devsinc as an Associate AI/ML Engineer and take your first steps towards a rewarding career in AI and machine learning!

Benefits

• Private Health Insurance
• Pension Plan
• Paid Time Off
• Work From Home
• Training & Development
• Performance Bonus