Data Scientist
- Synchrony Systems Inc.
3 Days Ago
95000-120000 per Annum + Benefits
Yearly
Charlotte NC-NC
7-44 Years
Required Skills: Data Scientist, Data Engineering, ML Engineering, AI Engineering, Python, SQL, LangChain, Semantic Kernel, LlamaIndex, AutoGen
Job Description
Note: This role is not open for C2C/C2H/1099 or any contract arrangements
Job Description
Must Have Technical/Functional Skills
Primary: Artificial intelligence/AI
Secondary: Python, NLP, Agile tools
Experience: 5 to 8+
Roles & Responsibilities
- 5+ years of experience in Data Engineering, ML Engineering, AI Engineering, or Software Engineering.
- Strong proficiency in Python, SQL, and one additional programming language (Scala/Java/Go).
- Hands-on experience designing AI agents, toolchains, and agent frameworks (LangChain, Semantic Kernel, LlamaIndex, AutoGen, etc.).
- Strong understanding of LLM integration, function-calling patterns, prompt engineering, and agent orchestration.
- Experience deploying ML models using MLflow, Azure ML, SageMaker, Kubeflow, or similar.
- Proficiency in TensorFlow, PyTorch, Scikit-Learn, or equivalent ML frameworks.
- Experience building scalable data pipelines using Spark, Databricks, or similar technologies.
- Strong knowledge of RAG patterns, vector databases (FAISS, Pinecone, Chroma, Milvus, Redis), and embedding optimization.
- Experience with CI/CD pipelines, automated testing, code reviews, and deployment automation.
- Familiarity with containerization (Docker) and orchestration (Kubernetes).
- Experience integrating AI agents with enterprise APIs, microservices, and workflow systems.
- Familiarity with reasoning models, transformer architectures, and enterprise AI use cases.
- Knowledge of cloud platforms: Azure (preferred), AWS, or GCP.
- Experience with streaming technologies (Kafka, EventHub, Kinesis).
- Understanding of Responsible AI concepts, model fairness, bias detection, and safety filters. Experience with high-compliance environments (financial services, healthcare, or government).
- Industry certification will be plus (For example Azure/AWS/GCP Data or AI Engineering)
- The AI Agent Data/ML Engineer will design, develop, and operationalize AI agents, large-scale data pipelines, and machine learning solutions to support enterprise automation and analytics initiatives.
- This role requires strong engineering skills, expertise in LLM and agentic architectures, and the ability to deploy AI systems securely and reliably within a regulated environment.
Benefits Overview
- Discretionary Annual Incentive.
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- Family Support: Maternal & Parental Leaves.
- Insurance Options: Auto & Home Insurance, Identity Theft Protection.
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
- Time Off: Vacation, Time Off, Sick Leave & Holidays.
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
