| Job Title | Python Developer |
| Duties/Day to Day Overview | - Design develop and maintain AI-driven applications and services using Python and modern machine learning frameworks
- Write clean efficient and scalable code with a strong focus on algorithms data structures and performance optimization
- Build and optimize data pipelines for training validating and deploying machine learning models at scale
- Collaborate with data scientists ML engineers and product teams to translate business requirements into robust AI solutions
- Implement best practices in software engineering testing and version control to ensure high-quality deliverables
- Optimize AI/ML workloads for speed and scalability across distributed computing environments
- Stay current with advancements in AI ML and deep learning technologies bringing innovative solutions into production systems
|
| Top Requirements (Must haves) | Top Requirements - 3 years of hands on experience
- Proven experience as a Python Developer with hands-on expertise in building production-grade applications
- Must be hands-on with coding and demonstrate strong programming foundations (data structures algorithms object-oriented design)
- Strong background in AI/ML with experience using frameworks such as TensorFlow PyTorch or Scikit-learn
- Proficiency in data handling and manipulation using libraries like NumPy and Pandas
- Experience with SQL databases for managing and accessing training data
- Knowledge of model deployment and scaling in enterprise or cloud environments (AWS Azure or GCP)
- Familiarity with containerization and orchestration (Docker Kubernetes) for AI/ML workloads (preferred)
- Strong debugging optimization and performance-tuning skills for both code and AI models
Key Focus Areas - Python Development: Core programming language for AI/ML applications
- AI/ML Frameworks: TensorFlow PyTorch Scikit-learn
- Data Pipelines: ETL preprocessing and feature engineering for large datasets
- SQL Databases: Schema design query optimization and handling structured data
- Enterprise-Scale AI: Building secure reliable and scalable AI solutions
- Hands-On Programming: Strong coding discipline with emphasis on maintainability and performance
- Cloud & Deployment (Preferred): AWS/GCP/Azure Docker Kubernetes
|
Job Title Python Developer Duties/Day to Day Overview Design develop and maintain AI-driven applications and services using Python and modern machine learning frameworks Write clean efficient and scalable code with a strong focus on algorithms data structures and performance optimizat...
| Job Title | Python Developer |
| Duties/Day to Day Overview | - Design develop and maintain AI-driven applications and services using Python and modern machine learning frameworks
- Write clean efficient and scalable code with a strong focus on algorithms data structures and performance optimization
- Build and optimize data pipelines for training validating and deploying machine learning models at scale
- Collaborate with data scientists ML engineers and product teams to translate business requirements into robust AI solutions
- Implement best practices in software engineering testing and version control to ensure high-quality deliverables
- Optimize AI/ML workloads for speed and scalability across distributed computing environments
- Stay current with advancements in AI ML and deep learning technologies bringing innovative solutions into production systems
|
| Top Requirements (Must haves) | Top Requirements - 3 years of hands on experience
- Proven experience as a Python Developer with hands-on expertise in building production-grade applications
- Must be hands-on with coding and demonstrate strong programming foundations (data structures algorithms object-oriented design)
- Strong background in AI/ML with experience using frameworks such as TensorFlow PyTorch or Scikit-learn
- Proficiency in data handling and manipulation using libraries like NumPy and Pandas
- Experience with SQL databases for managing and accessing training data
- Knowledge of model deployment and scaling in enterprise or cloud environments (AWS Azure or GCP)
- Familiarity with containerization and orchestration (Docker Kubernetes) for AI/ML workloads (preferred)
- Strong debugging optimization and performance-tuning skills for both code and AI models
Key Focus Areas - Python Development: Core programming language for AI/ML applications
- AI/ML Frameworks: TensorFlow PyTorch Scikit-learn
- Data Pipelines: ETL preprocessing and feature engineering for large datasets
- SQL Databases: Schema design query optimization and handling structured data
- Enterprise-Scale AI: Building secure reliable and scalable AI solutions
- Hands-On Programming: Strong coding discipline with emphasis on maintainability and performance
- Cloud & Deployment (Preferred): AWS/GCP/Azure Docker Kubernetes
|
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
