GenAI & NLP Python Developer | Cloud Deployment, Model Fine-Tuning & AI Innovation

Job Summary
Synechron is seeking a skilled Python GenAI Developer to advance our artificial intelligence and machine learning capabilities within our digital innovation teams. This role involves designing developing and deploying AI solutions leveraging generative models natural language processing and cloud-based environments. The ideal candidate will collaborate closely with cross-functional teams to integrate AI-driven features stay updated on the latest tech trends and contribute to strategic AI initiatives that enhance business value.

Software Requirements

Required Software Proficiency:

• Python (latest stable version) extensive experience in developing AI and ML applications with a focus on generative AI models

• Generative AI frameworks: PyTorch TensorFlow or similar proven experience in training and deploying advanced models including GPT or equivalent architectures

• Cloud platforms: AWS GCP or Azure knowledge of deploying AI models in cloud environments

• NLP libraries: Hugging Face Transformers SpaCy experience with language models and NLP pipelines

• Version Control: Git experience managing code repositories and collaborative development workflows

Preferred Software Skills:

• Data processing tools: Pandas NumPy skills in handling large datasets for training models

• Deployment tools: Docker Kubernetes experience containerizing AI models for production

• Model optimization: ONNX TensorRT experience in model compression and inference acceleration

Overall Responsibilities

• Design develop and optimize generative AI models for natural language processing image generation or other AI tasks

• Collaborate with product teams to identify use cases and translate business requirements into AI solutions

• Fine-tune pre-trained models implement transfer learning and innovate with new architectures

• Conduct model evaluations performance tuning and validation to ensure deployment-ready solutions

• Maintain detailed technical documentation including model architecture training procedures and deployment guidelines

• Stay informed about emerging trends in AI/ML particularly in Generative AI and incorporate best practices into ongoing projects

• Provide technical expertise and support to team members during model development deployment and troubleshooting

Technical Skills (By Category)

• Programming Languages:

  • Essential: Python primary language for model development and scripting

  • Preferred: Knowledge of C or Java for integration and performance optimization

• Databases/Data Management:

  • Experience with NoSQL and relational databases to store training data logs or model metadata

• Cloud Technologies:

  • Deployment and management of models on cloud platforms like AWS SageMaker Google Vertex AI or Azure ML services

• Frameworks and Libraries:

  • PyTorch TensorFlow Hugging Face Transformers SpaCy for building training and fine-tuning models

• Development Tools and Methodologies:

  • Git Agile/Scrum Jupyter Notebooks for collaborative development and iterative experimentation

• Security Protocols:

  • Knowledge of data privacy GDPR and model security best practices for responsible AI deployment

Experience Requirements

• Minimum of 6 to 10 years in AI/ML development with a focus on generative models or NLP

• Proven experience training and deploying complex AI models within cloud environments

• Demonstrated track record of integrating AI solutions to solve real-world business challenges

• Experience working in cross-functional teams participating in model review and validation processes

• Familiarity with AI model governance ethics and bias mitigation strategies

Day-to-Day Activities

• Develop train and fine-tune generative AI models including language and image models

• Collaborate with product and data teams to define AI use cases and develop technical solutions

• Conduct model evaluation performance benchmarking and iterative improvements

• Package and deploy AI models in cloud environments ensuring scalability and efficiency

• Document all processes including training procedures model architectures and deployment steps

• Stay current on advancements in Generative AI NLP and related fields recommending new techniques for application

• Troubleshoot technical issues and optimize model performance in production environments

Qualifications

• Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or related field

• 4 years of experience in AI/ML development specifically working with generative models and NLP

• Proven expertise in Python deep learning frameworks and cloud deployment of AI solutions

• Experience with MLOps tools continuous integration and model monitoring is a plus

Professional Competencies

• Strong analytical and problem-solving skills for developing innovative AI solutions

• Excellent communication skills for articulating complex AI concepts to technical and non-technical stakeholders

• Self-driven with the ability to independently manage multiple projects and priorities

• Willingness to learn new AI techniques tools and emerging research

• Team-oriented mindset with collaboration skills across diverse technical and business groups

• Ability to adapt rapidly to evolving AI research and industry best practices

SYNECHRONS DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity Equity and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger successful businesses as a global company. We encourage applicants from across diverse backgrounds race ethnicities religion age marital status gender sexual orientations or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements mentoring internal mobility learning and development programs and more.

All employment decisions at Synechron are based on business needs job requirements and individual qualifications without regard to the applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.

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