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AI Enablement Engineer

Tvarit

On-site
Pune, India
Full-time
Mid Level
4+ yrs
Salary not listedPosted 2mo ago

Real job — pulled straight from Tvarit’s careers page · Verified June 18, 2026 · No reposts.

Job description

Tvarit is hiring a AI Enablement Engineer — a full-time, based in Pune, India role. Apply directly on Tvarit's careers page below.

AI Enablement Engineer

Location: Pune, India

Department: AI Enablement

Experience: 3-5

Role :- AI Enablement Engineer
Location :- Pune.


Role Summary :-
The IoT Engineer will design, implement, and maintain shopfloor data acquisition and integration solutions across PLC/SCADA/DCS systems, enabling reliable, secure IIoT pipelines to edge and cloud. The role requires hands-on expertise in Node‑RED, industrial networking, OPC (DA/UA), Kepware, SQL, and scripting with Python and JavaScript to build resilient integrations, historians, and real-time dashboards.
Key Responsibilities
  • Design and implement IIoT data flows from PLC/SCADA/DCS to edge, historian, and cloud using Node‑RED, OPC UA/DA, Kepware, MQTT/REST, and SQL-backed stores.
  • Collect data from shopfloor systems including PLCs, SCADA/DCS, local file systems, sensors, and test benches, ensuring reliable and secure acquisition.
  • Integrate via industrial protocols and interfaces: OPC UA/DA, Modbus TCP/RTU, Profinet, EtherNet/IP, MQTT, and file drops (CSV/JSON), with read/write where safe.
  • Build reusable Node-RED flows/subflows for device onboarding, health checks, buffering, alerting, and REST/MQTT bridges; maintain versioned configs.
  • Collaborate with controls teams to safely access PLC tags and verify mappings against ladder/FB logic, SCADA/DCS points, and SOPs.
  • Validate data quality and lineage end-to-end; monitor latency, gaps, drift, and packet loss; drive root-cause analysis and corrective actions.
  • Develop edge apps/microservices in Python and JavaScript for parsing, normalization, store‑and‑forward, and health monitoring; integrate with SQL databases and time-series stores.
  • Establish monitoring for data quality, latency, uptime, packet loss; implement logging, metrics, alerting, and SQL-based data validation.
  • Produce documentation: network diagrams, data flow maps, tag dictionaries, SQL schemas, SOPs, and runbooks; train plant users.
  • Support commissioning, FAT/SAT, and on-call troubleshooting; drive root-cause analysis and corrective actions.
  • Ensure compliance with cybersecurity and safety standards; manage credentialing, certificates, and least-privilege access.
Required Qualifications
  • Bachelors in Electrical/Electronics/Instrumentation/CS or equivalent.
  • 4+ years in industrial automation/IIoT integrating PLC/SCADA/DCS with IT systems and databases.
  • Strong Node‑RED experience (flows, subflows, context, error handling, MQTT/HTTP nodes).
  • PLC ecosystems: Siemens S7, Rockwell ControlLogix/CompactLogix, Mitsubishi, Schneider, or ABB.
  • Protocols: OPC UA/DA, Modbus TCP/RTU, Profinet, EtherNet/IP, MQTT; serial‑to‑IP gateways.
  • Kepware configuration and administration; performance tuning and diagnostics.
  • SCADA/DCS exposure: tag engineering, alarms, historian (e.g., Ignition, WinCC, FactoryTalk, AVEVA/PI).
  • SQL proficiency: schema design, indexing, query optimization, stored procedures, and data integrity for PostgreSQL/MySQL/MS SQL; familiarity with time‑series DBs is a plus.
  • Programming: Python (pandas, asyncio, pyserial/opcua), JavaScript/Node.js for edge services and APIs.
  • Networking: L2/L3 switching, VLANs, QoS, ACLs, routing basics, Wireshark/tcpdump, NTP, SNMP; grounding/EMI awareness.
  • Strong troubleshooting across OT devices, drivers, networks, databases, and data pipelines; clear stakeholder communication.

Good to Have Skills
  • Ignition development, FactoryTalk, WinCC, or Wonderware experience.
  • MQTT Sparkplug B, Kafka, TimescaleDB/InfluxDB, Grafana/Power BI.
  • Windows/Linux administration on edge nodes; hardening and patching.
  • Cloud IoT services (AWS/Azure/GCP) and REST/GraphQL integration.
  • IEC 62443, ISA‑95/88, change control/validation practices.
  • Basics of controls safety for safe reads/writes and handshakes.
  • Version control (Git), CI/CD basics, containerization familiarity (Docker) for edge deployments.

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Frequently asked questions

What skills are required for AI Enablement Engineer at Tvarit?

The required skills for AI Enablement Engineer at Tvarit include: Python, JavaScript, SQL, SCADA, PLC, PostgreSQL, MySQL, Git, Docker, AWS, Azure, GCP, REST, GraphQL, Kafka, Grafana, Power BI, Linux, Windows, CI/CD.

What is the seniority level for AI Enablement Engineer at Tvarit?

AI Enablement Engineer at Tvarit is a Mid Level level position.

How do I apply for AI Enablement Engineer at Tvarit?

You can view the full description and apply for AI Enablement Engineer at Tvarit on EchoJobs: https://echojobs.io/job/tvarit-ai-enablement-engineer-4tl2h.