Python Developer – AI/ML
3 days ago
Job Title:
Python Developer – AI/ML & Data Science
Experience:
4–7 Years
Responsibilities
- Develop, optimize, and maintain
Python-based applications
with strong integration of
Django frameworks
. - Design, build, and deploy
AI/ML models
(supervised, unsupervised, deep learning) for real-world applications. - Perform
data preprocessing, feature engineering, and model training
to enhance performance and accuracy. - Work with
large-scale datasets
using Big Data frameworks (Hadoop, Spark, Databricks, etc.). - Build and manage
end-to-end data pipelines
(ETL/ELT) for scalable and reliable workflows. - Implement
MLOps practices
(CI/CD pipelines, model deployment, monitoring, retraining). - Conduct
data modeling, database design, and performance tuning
for analytics and applications. - Develop dashboards, APIs, and visualization tools to deliver insights and integrate AI/ML solutions into products.
- Collaborate with cross-functional teams (engineering, product, and business) to design and implement
data-driven, scalable solutions
. - Continuously explore and adopt new
AI/ML techniques, Python libraries, and cloud services
to optimize solutions.
Requirements & Skills
- Proven experience (4–7 years) in
Python development
with frameworks like
Django/Flask
. - Hands-on expertise in
AI/ML model design, development, and deployment
using libraries like Scikit-learn, TensorFlow, or PyTorch. - Strong understanding of
data preprocessing, feature engineering, and model optimization techniques
. - Experience with
MLOps tools
(MLflow, Kubeflow, Airflow, Docker, Kubernetes, CI/CD pipelines). - Proficiency in
SQL, data modeling, and database design
(RDBMS & NoSQL). - Familiarity with
big data frameworks
(Hadoop, Spark, Databricks) and distributed computing. - Strong knowledge of
statistics, mathematics, and data science concepts
. - Experience building
REST APIs, dashboards, or services
to integrate ML models into applications. - Excellent problem-solving skills with an analytical and research-driven mindset.
- Strong communication skills to present insights and collaborate with stakeholders.
- Education: Bachelor's/Master's in Computer Science, Data Science, or related field.
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