Data scientist

Job Overview

5+ years of experience in Data Engineering, ML Engineering, AI Engineering, or Software Engineering.

Must Have Technical/Functional Skills

• Primary:
  Artificial intelligence/AI
• Secondary:
  Python, NLP, Agile tools
• Experience:
  
  5 to 8+ years

• 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, tool chains, and agent frameworks (Lang Chain, Semantic Kernel, Llama Index, Auto Gen, etc.).
• Strong understanding of LLM integration, function‑calling patterns, prompt engineering, and agent orchestration.
• Experience deploying ML models using MLflow, Azure ML, Sage Maker, Kubeflow, or similar.
• Proficiency in Tensor Flow, 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, Event Hub, 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.

BACHELOR OF COMPUTER SCIENCE

• 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.
• Salary Range: $95,000 - $120,000 a year.