The Role
Design, develop, deploy, and monitor machine learning and deep learning models (NLP, computer vision, predictive). Build data pipelines, optimize model performance and scalability, automate AI workflows, and collaborate with cross-functional teams to meet business requirements.
Summary Generated by Built In
Job Title: Associate - AI Engineer
RequirementsRequired Skills & Qualifications
Experience: 3+ Years
Employment Type: Full-Time
Key Responsibilities- Design, develop, and deploy machine learning and deep learning models
- Work on AI workflows, automation, and data-driven solutions
- Collaborate with cross-functional teams to understand business requirements
- Build and optimize NLP, computer vision, or predictive models
- Develop data pipelines and ensure model performance and scalability
- Monitor, evaluate, and improve model accuracy over time
- Stay updated with the latest advancements in AI/ML technologies
RequirementsRequired Skills & Qualifications
- 3+ years of experience in AI/ML development
- Strong programming skills in Python
- Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Good understanding of NLP / Computer Vision / Deep Learning concepts
- Experience in building and deploying models using cloud platforms (AWS, Azure, or GCP)
- Knowledge of data structures, algorithms, and statistics
- Familiarity with APIs, microservices, and model deployment
Skills Required
- 3+ years of experience in AI/ML development
- Strong programming skills in Python
- Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Good understanding of NLP / Computer Vision / Deep Learning concepts
- Experience in building and deploying models using cloud platforms (AWS, Azure, or GCP)
- Knowledge of data structures, algorithms, and statistics
- Familiarity with APIs, microservices, and model deployment
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The Company
What We Do
QBrainX Inc. is a specialized provider of hyper-automation and enterprise process optimization solutions. Acting as a digital transformation ally, the company empowers businesses across various domains to achieve excellence through innovative digital engineering and platform modernization. It leverages expertise in ServiceNow, Salesforce, SAP, and AI-driven data solutions to automate business processes and deliver high-performance, future-ready systems for global enterprises.
