. The ideal candidate will design, build, and deploy AI-powered solutions using modern frameworks and industry-standard MLOps practices.
Key Responsibilities
Design, train, test, and deploy machine learning models for real-world applications
Implement NLP solutions including
Zero-Shot
and
Few-Shot
classification
Apply text-processing techniques using
TF-IDF, Word2Vec, and BERT
Develop and fine-tune
Generative AI models
(OpenAI, LLaMA) for business use cases
Work with ML algorithms such as 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 deliver scalable AI solutions
Manage and integrate data pipelines using
MongoDB and MySQL
Use
Git and Bitbucket
for version control and collaborative development
Support project tracking and delivery using
JIRA and Asana
Required Skills & Qualifications
Bachelor's or Master's degree in
Computer Science, Engineering, Mathematics, or Statistics
3+ years
of experience in
Python programming
(data structures & algorithms)
3+ years
of experience in
Machine Learning & Statistics
with knowledge of at least 6 ML algorithms
3+ years
of experience in
NLP
(Zero-Shot, Few-Shot, TF-IDF, Word2Vec, BERT)
3+ years
of experience in
Generative AI
(OpenAI, LLaMA)
3+ years
of experience with
MongoDB and MySQL
3+ years
of experience with
Flask & FastAPI
microservices
3+ years
of experience using
Git & Bitbucket
1+ year
of experience building
REST APIs
Experience using
JIRA and Asana
Preferred (Bonus) Skills
Certifications in
Machine Learning, Deep Learning, or NLP
Strong analytical and problem-solving abilities
Ability to quickly adapt to emerging AI technologies
Excellent communication and collaboration skills
Passion for innovation and applying AI to complex business challenges
Job Types: Contractual / Temporary, Freelance
Pay: ₹13,518.64 - ₹89,903.08 per month
Work Location: Remote
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