Job details
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------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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