AI Engineer
Tezza Solutions
Job Overview
Location
Remote
Employment Type
Full-time
Work Arrangement
Remote
Sector
Information Technology & Software
Experience Level
Mid-level (3-5 years)
Job Description
We are seeking a highly skilled and motivated AI Engineer to join our innovative team. In this role, you will be responsible for designing, training, and deploying machine learning models to solve real-world problems. You will work with cutting-edge technologies and collaborate with product and business teams to deliver scalable AI solutions.
Your expertise in NLP, generative AI, and API development will be crucial in developing and fine-tuning models for various business use cases. You will also be responsible for managing data pipelines and integrating structured and unstructured data from various sources.
To apply for this exciting opportunity, please visit: Tezza Solutions Careers.
Required Skills
Key Responsibilities
- Design, train, and deploy machine learning models for real-world applications
- Implement NLP-based solutions including Zero-Shot and Few-Shot classification algorithms
- Apply TF-IDF, Word2Vec, and BERT for text-based processing tasks
- Develop and fine-tune Generative AI models such as OpenAI and LLaMA for business use cases
- Work with ML algorithms including Linear Regression, Decision Trees, KNN, SVM, Random Forest, Logistic Regression, and Bayesian models
- Build and manage RESTful APIs and microservices using Flask and FastAPI
- Collaborate with product and business teams to translate requirements into scalable AI solutions
- Manage data pipelines and integrate structured/unstructured data from MongoDB and MySQL
- Use Git and Bitbucket for version control and collaborative coding
- Support project management using JIRA and Asana
Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field
- Proven experience in designing, training, and deploying machine learning models
- Strong programming skills in Python
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Knowledge of NLP techniques and generative AI models
- Experience with API development using Flask or FastAPI
- Familiarity with data pipelines and database technologies such as MongoDB and MySQL
- Experience with version control systems such as Git and Bitbucket
- Strong problem-solving and communication skills
How to Apply
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As an AI Engineer, you'll design, train, and deploy machine learning models, focusing on NLP and generative AI. Success is measured by the scalability and business impact of AI solutions. This role bridges the gap between business needs and cutting-edge AI technology, driving innovation and efficiency.
Posted Date
January 22, 2026
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