Data Scientist / Machine Learning Engineer

Only candidates with prior U.S. work experience will be considered. Key Responsibilities:

Analyze manual business workflows, identify automation opportunities, and collaborate with

stakeholders.

Architect, design, and develop robust, scalable automation solutions using AI/ML techniques.

Build, test, deploy, and maintain automation systems, ensuring seamless integration with

existing infrastructure.

Monitor and optimize performance, troubleshoot issues, and implement enhancements for

efficiency and reliability.

Deliver automation that reduces OPEX and enhances process robustness.

Create and maintain clear technical documentation.

Stay current with AI/ML and automation advancements, recommending new tools and best

practices.

Required Qualifications:

• 5+ years of professional software development experience, including senior-level
• responsibilities.
• Strong programming skills in Python; experience with Java, Go, C#, or JavaScript is a plus.
• Experience with NetSuite ERP and Shopify APIs is a plus.
• Solid understanding of AI/ML fundamentals and hands-on application in process automation.
• Proven experience designing and deploying automation solutions.
• Strong analytical, systems thinking, and troubleshooting skills.
• Bachelors or Masters in Computer Science, Engineering, or related field (or equivalent
• practical experience).
• Excellent communication skills; ability to work independently and collaboratively in a small team.

Preferred Qualifications:

• Experience with ML/DL frameworks (TensorFlow, PyTorch), NLP libraries (nltk, SpaCy), and
• GenAI/LLM tools (LangChain, LangGraph, CrewAI, RAG).
• Hands-on with AWS, Azure, or GCP; familiarity with cloud-native AI/ML services and core
• infrastructure (serverless, containers, managed DBs).
• Experience with workflow orchestration (Airflow) or agentic workflow frameworks.
• Proficiency in SQL, NoSQL, and vector databases.
• Understanding of DevOps, CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, Terraform).
• Experience with Agile/Scrum methodologies.