Senior Python Developer / AI-ML Engineer
Vertex, Inc.
New York, NY, United States
8 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Application Programming Interfaces (APIs)
Agile Methodology
Artificial Intelligence
Amazon Web Services
Amazon Elastic Compute Cloud
Amazon S3
Business Analytics Applications
Data Analysis
Software Applications
Application Performance Management
Computer Vision
+50 more
Microsoft Azure
Big Data
C++ (Programming Language)
Software as a Service
Cloud Computing
Code Review
Continuous Integration
Information Engineering
Extract Transform Load (ETL)
Data Structures
Data Warehousing
Linux
DevOps
Python (Programming Language)
PostgreSQL
Machine Learning
Natural Language Processing
NumPy
Oracle (Applications)
Tensorflow
Amazon Simple Notification Service (SNS)
Software Engineering
SQL Databases
Unstructured Data
Web Application Frameworks
Enterprise Data Management
Data Processing
Enterprise Software Applications
Feature Engineering
Pytorch
Flask (Web Framework)
Deep Learning
Backend
Keras
Git
Fastapi
Pandas
Amazon Relational Database Service
Containerization
Pyspark
Scikit Learn
Information Technology
Data Management
Functional Programming
Amazon Simple Queue Service (SQS)
Stream Processing
Data Pipelines
Docker
Amazon Redshift
Databricks
Job description
Client is seeking a highly experienced Senior Python Developer / AI-ML Engineer to design and develop scalable software, data-processing pipelines, and AI/ML solutions. The ideal candidate will have strong hands-on Python development experience combined with expertise in data science, machine learning, cloud platforms, and enterprise data environments., * Design, develop, and maintain high-performance Python applications and data-processing solutions.
- Build scalable data pipelines and analytics workflows using Python, Pandas, NumPy, and PySpark.
- Develop and implement machine learning and predictive modeling solutions using Scikit-learn, TensorFlow, PyTorch, or Keras.
- Work with large and complex datasets to perform data analysis, feature engineering, statistical modeling, and visualization.
- Develop and integrate AI/ML models into production applications and enterprise workflows.
- Build cloud-based solutions using AWS services such as S3, EC2, Lambda, RDS, SQS, SNS, and Redshift.
- Develop APIs and backend services using Python frameworks such as Flask or similar frameworks.
- Work with PostgreSQL, Oracle, and SQL-based data platforms to support enterprise applications and reporting.
- Develop data-processing and analytics solutions involving structured and unstructured data.
- Containerize applications using Docker and work with Git-based CI/CD and DevOps practices.
- Collaborate with software engineers, data scientists, architects, and business stakeholders in Agile environments.
- Troubleshoot, optimize, and improve application performance, scalability, and reliability.
- Develop solutions involving NLP, computer vision, predictive analytics, and advanced machine learning where applicable.
- Participate in code reviews, technical documentation, testing, deployment, and production support.
Requirements
- 10+ years of software/data engineering experience
- Strong hands-on Python development
- Strong experience with Pandas, NumPy, PySpark
- Experience with SQL, PostgreSQL and/or Oracle
- Strong understanding of data structures, algorithms, and software engineering principles
- Experience with Machine Learning / AI
- Experience with Scikit-learn, TensorFlow, PyTorch, Keras, or similar frameworks
- Strong AWS experience
- Experience with Docker, Git, Linux, and CI/CD
- Experience developing scalable data pipelines and cloud-based applications
- Strong communication and problem-solving skills
Preferred Skills
- Experience with Databricks
- Experience with Azure
- Experience with Flask/FastAPI
- Experience with NLP or Computer Vision
- Experience with real-time data processing
- Experience with data warehousing and ETL
- Experience with Java or C++
- Experience working with government, healthcare, education, or enterprise data
- Experience with AI-powered applications and predictive analytics, * Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, Physics, or a related field
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