AI Model DevOps & Architecture Lead | Large Language Models, Cloud Deployment & Enterprise AI Solutions

Job Summary
Synechron is seeking a highly experienced AI Technical Specialist to spearhead and coordinate AI projects across development testing and deployment phases. This role involves identifying impactful AI use cases leading hands-on implementation of AI models and ensuring seamless integration into existing systems and workflows. The ideal candidate will stay abreast of the latest advancements in AI platforms and large language models (LLMs) providing technical mentorship and strategic guidance to foster innovation and operational excellence in enterprise AI initiatives.

Software Requirements

Required Software Proficiency:

• Python (latest stable version e.g. Python 3.8) extensive experience in developing testing and refining AI models

• Frameworks: TensorFlow PyTorch proven expertise supporting model training tuning and production deployment

• Cloud platforms supporting AI workloads: AWS GCP or Azure experience deploying AI models in cloud environments (preferably)

• Data management tools: SQL NoSQL databases supporting data preparation storage and retrieval for AI projects

• Version control: Git/GitHub strong collaboration and code management skills

Preferred Software Skills:

• Large Language Models (LLMs) such as GPT BERT or similar hands-on experience in fine-tuning prompt engineering and deployment support

• AI orchestration tools: MLflow Kubeflow for model lifecycle management supporting MLOps best practices

• Automation tools supporting CI/CD pipelines for AI solutions (e.g. Jenkins Azure DevOps)

Overall Responsibilities

• Lead end-to-end AI initiativesfrom use case identification to model deployment and supportaligning solutions with organizational objectives

• Develop train and refine AI models supporting business challenges focusing on accuracy scalability and efficiency

• Collaborate with cross-functional teams including product managers data scientists and DevOps to integrate AI capabilities seamlessly

• Stay current with emerging AI advancements evaluating new models tools and platform capabilities for enterprise applicability

• Conduct model performance evaluation tuning and validation to meet quality standards and operational parameters

• Mentor team members on AI best practices code development and model management strategies

• Support the implementation of MLOps pipelines supporting model versioning monitoring and continuous improvement

• Document technical requirements model architecture deployment procedures and operational guidelines supporting compliance and audit readiness

Technical Skills (By Category)

• Languages & Frameworks (Essential):

  • Python: core language supporting development training and inference of AI models

  • TensorFlow PyTorch: for training tuning and deploying deep learning models

• Models & Data Management:

  • Experience working with large datasets data pre-processing and managing models lifecycle (training validation deployment)

• Cloud & Infrastructure:

  • AWS GCP or Azure supporting cloud deployment of AI models (preferred)

  • Support for cloud-native AI services and infrastructure automation supporting scalability and reliability

• Tools & Platforms:

  • Model development and management: MLflow Kubeflow (preferred)

  • CI/CD automation supporting model deployment monitoring and retraining processes

• Security & Governance:

  • Knowledge of ML model security data privacy standards and compliance support (e.g. GDPR HIPAA)

Experience Requirements

• 7 years of experience leading AI model development deployment and optimization in enterprise environments

• Proven track record of supporting large-scale AI solutions including LLM fine-tuning and deep learning models

• Strong experience supporting AI model lifecycle management and deploying models in cloud environments

• Demonstrated leadership in coaching teams fostering innovation and implementing best practices in AI/ML workflows

• Experience in regulated industries such as finance healthcare or enterprise technology environments is preferred

Day-to-Day Activities

• Lead the development testing and deployment of AI models supporting business use cases

• Collaborate with data scientists developers and DevOps teams to support model training evaluation and productionization

• Support the automation of model deployment pipelines monitoring and retraining workflows supporting MLOps practices

• Conduct model performance evaluation interpretability analysis and calibration to ensure accuracy

• Troubleshoot issues related to data model inference and deployment environments

• Evaluate new AI models frameworks and cloud services to optimize enterprise capabilities

• Document model architecture deployment plans and operational procedures supporting compliance and ongoing support

Qualifications

• Bachelors or Masters degree in Computer Science Data Science or a related technical field

• 7 years supporting AI/ML model development deployment and lifecycle management in enterprise settings

• Certifications in cloud platforms (AWS GCP Azure) or AI/ML tools/supporting frameworks are a plus

• Extensive experience deploying secure scalable and compliant AI models supporting large operational environments

Professional Competencies

• Strong analytical and troubleshooting skills supporting complex model inference and deployment issues

• Leadership and mentorship in coaching teams on AI best practices and technical excellence

• Effective stakeholder communication and documentation capabilities supporting enterprise projects

• Adaptability to rapidly evolving AI frameworks data security standards and industry regulations

• Strategic thinking supporting scalable secure and compliant AI solutions supporting enterprise growth

• Organizational skills for managing model lifecycle versioning monitoring and retraining workflows

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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