Data Scientist (Generative AI, Cloud Deployment & Advanced NLP Expertise)
Data Scientist (Generative AI, Cloud Deployment & Advanced NLP Expertise)
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Job Description
Job Summary
Synechron is seeking a highly skilled Data Scientist to lead innovative projects leveraging advanced AI/ML models particularly in generative AI techniques. In this role you will design develop and deploy AI solutions integrating cloud services and enterprise architectures to solve complex problems. Your expertise will support the organizations digital transformation efforts by delivering data-driven insights developing generative AI applications and integrating cutting-edge AI tooling within enterprise environments ultimately helping to accelerate business value and technological leadership.
Software Requirements
Required Skills:
- Strong proficiency in Python Java and relevant AI frameworks
- Extensive experience with Generative AI models including OpenAI GPT Codex or similar platforms
- Practical knowledge of cloud services for AI such as AWS AI tools (Lex Comprehend Rekognition) and cloud infrastructure deployment
- Experience in deploying solutions on cloud platforms (AWS GCP Azure)
- Familiarity with version control systems (Git GitHub)
- Experience with AI development tooling including GitHub Copilot AWS CodeWhisperer or other AI code assistance tools
- Skill in designing and managing data pipelines and eliminating bias in training datasets
Preferred Skills:
- Experience with open-source ML libraries (TensorFlow PyTorch)
- Knowledge of infrastructure as code (Terraform CloudFormation) for deploying AI solutions
- Experience with static code analysis and secure coding practices for AI/ML systems
Overall Responsibilities
- Lead the development deployment and optimization of AI/ML models with an emphasis on generative AI capabilities
- Design and implement scalable data pipelines and workflows to support AI model training and inference
- Advising on innovative AI approaches to improve operational efficiency and generate new business insights
- Integrate AI solutions within existing enterprise architectures utilizing cloud services and microservices best practices
- Mentor data science and development teams promoting best practices in model development testing and deployment
- Stay current with emerging AI research tools and industry use-cases infusing them into organizational projects
- Collaborate with stakeholders to define requirements translate business problems into AI solutions and ensure alignment with business goals
- Ensure AI solutions are developed and maintained in compliance with security privacy and ethical standards
- Document processes models and performance metrics for ongoing improvement and audit readiness
Technical Skills (By Category)
Programming Languages:
- Essential: Python Java
- Preferred: R C or relevant scripting languages for automation and data processing
Frameworks & Libraries:
- Essential: PyTorch TensorFlow Transformers (e.g. Hugging Face) OpenAI SDKs
- Preferred: Scikit-learn Keras NLTK for NLP tasks
AI/ML Concepts & Models:
- Essential: Generative AI models (GPT GPT-3 Codex) Transformer architectures Large Language Models (LLMs)
- Preferred: Fine-tuning prompt engineering model explainability bias mitigation techniques
Cloud & Infrastructure:
- Essential: AWS (SageMaker Lex Comprehend Rekognition) Azure GCP AI services
- Preferred: Managed ML services containerization (Docker) Kubernetes serverless deployment (Lambda Cloud Functions)
Data & Data Management:
- Essential: Data pipelines feature engineering dataset management
- Preferred: Data versioning bias detection data augmentation techniques
DevOps & CI/CD:
- Essential: GitHub Actions Jenkins AWS CodePipeline automation of deployment pipelines
- Preferred: Terraform CloudFormation infrastructure automation
Experience Requirements
- 7 years of full-cycle software development experience with a focus on AI/ML and data science
- Proven track record of delivering enterprise-grade AI solutions especially in generative AI applications
- Strong expertise in deploying AI models in cloud environments and managing AI infrastructure
- Experience working within cross-functional teams translating business needs into AI solutions
- Industry experience in finance healthcare or enterprise digital transformation projects is an advantage
- Alternative pathways include extensive research open-source contributions or leadership in AI innovation projects
Day-to-Day Activities
- Architect and develop advanced AI/ML models focusing on generative AI and NLP solutions
- Build and maintain scalable data pipelines and training workflows
- Collaborate with product teams and stakeholders to understand complex business problems and propose AI-based solutions
- Fine-tune models improve inference efficiency and deploy solutions on cloud platforms
- Integrate AI tools with existing cloud microservices and enterprise platforms
- Monitor model performance and data quality iterating to improve effectiveness
- Share insights conduct AI research and educate teams on emerging AI developments
- Partake in code reviews testing and documentation of models and workflows
Qualifications
- Masters or PhD in Data Science Computer Science AI Machine Learning or related fields
- Relevant certifications in AI/ML platforms cloud solutions or data science (preferred)
- Demonstrated experience with producing or deploying large language models generative AI systems or NLP solutions in production environments
Professional Competencies
- Strong analytical thinking and problem-solving skills with the ability to translate data into actionable insights
- Excellent communication skills able to articulate complex AI concepts to non-technical stakeholders
- Leadership abilities to guide teams and influence best practices in AI/ML deployment
- High adaptability eagerness to learn new tools and stay updated with AI research
- Ethical mindset and awareness of AI fairness bias and privacy considerations
- Effective time and project management skills balancing innovation with deliverables
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.
Employment Type
Full-Time
