AI Engineer

AI Engineer

Years of Experience- 34 Years

Budget: 11 LPA

Location-Remote

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

Required Skills:

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or Statistics

3+ years of programming experience in Python with data structures and algorithms

3+ years of experience in Machine Learning and Statistics with strong knowledge of at least 6 algorithms

3+ years of experience in NLP including Zero-Shot and Few-Shot classification, TF-IDF, Word2Vec, BERT

3+ years of experience in Generative AI with models such as OpenAI and LLaMA

3+ years of experience working with MongoDB and MySQL databases

3+ years of experience using Git and Bitbucket for version control

3+ years of experience developing microservices using Flask and FastAPI

3+ years experience using project management tools JIRA and Asana

1+ years of experience building REST APIs

Preferred (Bonus) Skills:

Certification in ML, Deep Learning, or NLP

Strong analytical and problem-solving mindset

Ability to adapt quickly to emerging AI technologies

Strong communication skills

Passion for innovation and applying AI to solve complex challenges.