with 3+ years of hands-on experience in designing, developing, and deploying ML models. The ideal candidate should have a strong understanding of data science concepts, end-to-end ML pipelines, and production-level model integration.
Key Responsibilities:
Design, build, and deploy
machine learning and deep learning models
for real-world applications.
Perform
data preprocessing, feature engineering, and exploratory data analysis (EDA)
.
Develop and optimize
ML pipelines
for scalability and performance.
Work with
cross-functional teams
to integrate ML models into production systems.
Evaluate model performance using appropriate metrics and fine-tune algorithms.
Implement
model monitoring and retraining
strategies for continuous improvement.
Collaborate on
research, experimentation, and PoC development
for AI-driven initiatives.
Required Skills & Qualifications:
Bachelor's or Master's degree in
Computer Science, Data Science, or related field
.
Minimum
3 years of experience
in ML / AI model development and deployment.
Strong proficiency in