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.