Custom Software Engineer
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : Python (Programming Language)
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
JD Summary
We are seeking developer having over 4 years of hands-on experience in Python programming, AI/ML model development, and Gen AI implementations. Candidate should have a strong background in data preprocessing, AI/ML techniques (supervised, unsupervised, deep learning), and cloud-based deployments, with expertise in Azure services. This role requires a problem-solver with the ability to translate business requirements into effective AI-driven solutions, leveraging the latest industry tools and frameworks.
Roles and Responsibilities
Design, develop, and deploy AI/ML models for business use cases, including supervised, unsupervised, and deep learning techniques.
Implement Generative AI solutions for diverse applications, including text, image, and conversational models.
Perform data preprocessing, feature engineering, and data pipeline development for AI/ML workflows.
Utilize Python extensively for AI/ML development, data transformation, and automation tasks.
Work with frameworks such as TensorFlow, PyTorch, Scikit-learn, and other relevant libraries.
Collaborate with cross-functional teams to understand requirements, design solutions, and integrate AI/ML into products.
Deploy AI/ML solutions on Azure cloud infrastructure and ensure scalability, security, and efficiency.
Use Git for version control and participate in CI/CD pipelines for model deployment.
Stay updated on emerging AI, ML, and Gen AI trends, tools, and best practices.
Prepare technical documentation and provide knowledge-sharing sessions to peers.
Professional & Technical Skills
Must Have:
Programming: Python (advanced level)
AI/ML Approaches: Supervised & Unsupervised Learning, Deep Learning
Frameworks: TensorFlow, PyTorch, Scikit-learn
Generative AI Implementation: LLMs, fine-tuning, prompt engineering
Data Handling: Data preprocessing, feature engineering, data pipelines
Version Control: Git, GitHub/GitLab
Deployment: CI/CD, Azure Machine Learning, Azure DevOps
Cloud: Azure Services (AI/ML & Data)
Good to Have:
Experience with MLOps practices
Knowledge of NLP, computer vision, and transformer-based models
Exposure to containerization (Docker, Kubernetes)
Additional Information
Experience: 4+ years in AI/ML & Python development
Education: Minimum 15 years of full-time education
Communication: Excellent verbal and written communication skills
Work Environment: Collaborative, innovative, and fast-paced
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