
AI/ML Engineer
3 weeks ago
Job Description: AI/ML Engineer
Position Name:
AIML Engineer
Experience Required:
3+ years
Job Overview
We are seeking a highly skilled and motivated
Machine Learning Engineer
with over 4 years of experience to design, develop, and deploy ML models that solve real-world business problems. The ideal candidate will have strong expertise in
data science, programming, and software engineering
, along with hands-on experience in
building scalable ML pipelines
and
deploying models into production environments
.
Key Responsibilities
- Design and implement ML models (classification, regression, clustering, recommendation, NLP, time series).
- Collaborate with data scientists, engineers, product managers, and stakeholders to deliver solutions.
- Process and analyze large datasets using
Python, Pandas, NumPy, SQL
. - Deploy and monitor ML models in production using
AWS, GCP, or Azure
, and tools like
Docker/Kubernetes
. - Optimize and retrain models based on performance feedback and drift detection.
- Write clean, efficient, testable code with proper documentation.
- Stay up to date with the latest in
machine learning, deep learning, and AI technologies
.
Required Qualifications
- 3+ years
experience developing and deploying ML models in production. - Proficiency in
Python
and ML libraries (
scikit-learn, TensorFlow, PyTorch
). - Strong knowledge of
data preprocessing, feature engineering, model evaluation, hyperparameter tuning
. - Experience with
cloud services (AWS, GCP, Azure)
. - Experience with
Git, CI/CD pipelines, Agile development
. - Familiarity with
software engineering principles, API development, and MLOps practices
.
-
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