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

Requirements

• Bachelor's or Master's 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 mana

Additional Information

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

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at synechron? Share your experience