Role Overview:
As a Python, AI/ML, and Generative AI Developer, you will be responsible for end-to-end ownership of designing, developing, validating, and automating solutions for the automation team. You will leverage your expertise in Python, AI/ML frameworks, and Generative AI technologies to deliver scalable, efficient, and innovative solutions. This role requires hands-on experience and the ability to work across the entire development lifecycle, including requirement gathering, design, implementation, testing, and deployment.

Key Responsibilities:

1. Solution Design and Development:

• Take full ownership of designing and developing AI/ML and Generative AI solutions to automate business processes.
• Architect and implement scalable, efficient, and maintainable solutions using Python and relevant AI/ML frameworks.
• Develop and fine-tune Generative AI models (e.g., GPT, LangChain, Hugging Face) for specific use cases.
• Design and implement APIs and integrations to connect AI/ML solutions with existing systems.

2. Model Development and Validation:

• Build, train, and validate machine learning models, ensuring high accuracy and performance.
• Develop Generative AI models for tasks such as text generation, classification, summarization, and more.
• Perform data preprocessing, feature engineering, and model optimization to improve outcomes.
• Validate models through rigorous testing and ensure compliance with business requirements.

3. Automation and Optimization:

• Automate repetitive tasks and workflows using Python scripts and AI/ML models.
• Implement end-to-end automation pipelines, including data ingestion, model training, validation, and deployment.
• Optimize existing automation solutions for performance, scalability, and reliability.

4. Collaboration and Stakeholder Management:

• Collaborate with cross-functional teams, including data scientists, business analysts, and operations teams, to gather requirements and deliver solutions.
• Partner with stakeholders to identify automation opportunities and propose AI/ML-driven solutions.
• Communicate technical concepts and project updates effectively to non-technical stakeholders.

5. Testing and Quality Assurance:

• Develop and execute test cases to validate AI/ML models and automation workflows.
• Ensure solutions meet quality standards and adhere to best practices in software development.
• Implement automated testing frameworks to streamline validation processes.

6. Deployment and Monitoring:

• Deploy AI/ML models and automation solutions into production environments.
• Monitor the performance of deployed solutions and address any issues proactively.
• Implement logging, monitoring, and alerting mechanisms to ensure system reliability.

7. Research and Innovation:

• Stay updated on the latest advancements in Python, AI/ML, and Generative AI technologies.
• Experiment with new tools, frameworks, and methodologies to enhance automation capabilities.
• Propose innovative solutions to improve efficiency and reduce manual effort.

8. Documentation and Knowledge Sharing:

• Create and maintain detailed documentation for all solutions, including design, implementation, and testing.
• Share knowledge and mentor junior team members to build technical expertise within the team.

Required Skills and Qualifications:

• Programming: Strong expertise in Python, with experience in developing scalable and maintainable code.
• AI/ML Frameworks: Hands-on experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks.
• Generative AI Tools: Proficiency in tools like OpenAI GPT, LangChain, Hugging Face, or similar platforms.
• Automation: Experience in building end-to-end automation pipelines and integrating AI/ML solutions into workflows.
• Data Handling: Strong knowledge of data preprocessing, feature engineering, and working with structured/unstructured data.
• APIs and Integration: Experience in designing and implementing RESTful APIs and integrating AI/ML solutions with existing systems.
• Testing and Validation: Proficiency in developing test cases and implementing automated testing frameworks.
• Cloud Platforms: Familiarity with cloud platforms like AWS, Azure, or GCP for deploying AI/ML solutions.
• Version Control: Experience with Git and CI/CD pipelines for version control and deployment.
• Soft Skills: Strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively.

Preferred Qualifications:

• Experience with vector databases (e.g., Pinecone, FAISS) and knowledge graphs.
• Familiarity with MLOps practices for managing the AI/ML lifecycle.
• Knowledge of Agile methodologies and tools like JIRA or Confluence.
• Prior experience in mentoring or leading junior developers.

Qualifications:

• 8 years of relevant experience
• Experience in systems analysis and programming of software applications
• Experience in managing and implementing successful projects
• Working knowledge of consulting/project management techniques/methods
• Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements

Education:

• Bachelor’s degree/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Python, AI/ML, Gen AI

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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