AI Systems Developer

7 days ago

Bhavnagar, Gujarat, India beBeeArtificial Full time ₹ 18,00,000 - ₹ 2,02,50,000

About the Role

As a ML Applications Engineer, you will play a pivotal engineering role at a cutting-edge AI company with operations across Asia and Europe.

You will have high ownership of end-to-end ML application development and the platform, resources, and autonomy to design, deploy, and scale AI solutions that transform real-world industries globally.

Key Responsibilities
  • Design and deploy data-driven solutions for manufacturing customers using Sparsa's agentic SDK and ERP integrations.
  • Build translation layers and adapters to convert customer data pipelines into common schemas that our agents can work with.
  • Monitor agent performance and create impact reports showing measurable improvements to present to customers.
  • Serve as primary feedback channel between customer implementations and AI team, translating real-world challenges into technical requirements.
  • Work directly with enterprise customers during onboarding, solution deployment, and technical workshops for manufacturing stakeholders.
  • Perform advanced data analysis on manufacturing datasets to identify optimization opportunities and extract actionable insights from production data.
Requirements
  • Experience: 2-4 years of experience as Data Analyst/Scientist or Solutions Engineer.
  • Strong software engineering fundamentals with excellent Python proficiency.
  • Strong data science skills (pandas, numpy, matplotlib, polars, dask, etc.) with SQL expertise for complex data manipulation.
  • Data pipeline and ETL experience for enterprise data integration and workflow orchestration.
  • Customer-facing technical skills with proven track record presenting complex solutions to technical stakeholders.
  • Solutioning abilities - translating business problems into technical solutions with measurable outcomes.
  • Bonus: experience in manufacturing/industrial environments, hands-on experience with ERP systems (SAP, Oracle), MES products (Siemens, GE Digital), knowledge of CRM systems (Salesforce, HubSpot), manufacturing domain knowledge (supply chain, production planning, quality systems).
Benefits
  • Pivotal engineering role at a cutting-edge AI company.
  • High ownership of end-to-end ML application development.
  • Platform, resources, and autonomy to design, deploy, and scale AI solutions.

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