Looking for Senior AI Developer @ Indianapolis, IN ( ONSITE )

[Peer Professional]

Job Title: Senior AI Developer

Location: Indianapolis, IN ( ONSITE )

Type: Direct Hire W2 / Corp-Corp

Primary Skills : AI ML, AWS, Azure

Share resume to satti.p...@yash.com

 Local candidates will be given first preference 

This is day 1 onsite in Indianapolis, IN

 

The ideal candidate is highly self-driven, requires minimal oversight, and has a proven track record of translating business requirements into production-grade cloud analytics solutions. This is a hands-on technical role — you will design, build, and deliver, not only advise.

 

Key Responsibilities The contractor will own end-to-end delivery across the following areas:

 

Data Analytics Execution

• Design, develop, and deploy cloud-native analytics solutions supporting NALO (North America Logistics Operations) operational KPIs (order fulfillment, inventory accuracy, throughput, No-Touch Order rates)
• Build and maintain self-service dashboards and reporting layers for warehouse, logistics, and leadership stakeholders
• Translate business and operational data questions into structured analytics products with clearly defined refresh cadence, ownership, and SLAs

Data Ingestion & Pipeline Engineering

• Architect and implement scalable data ingestion pipelines connecting SAP EWM, WMS operational data, IoT/sensor feeds, and third-party logistics platforms to cloud data platforms
• Ensure pipeline reliability, data quality validation, and lineage documentation in accordance with client data governance standards
• Apply best practices for batch, micro-batch, and event-driven ingestion patterns based on source system capabilities and latency requirements

AI & Advanced Analytics

• Prototype and deploy AI/ML use cases aligned to NALO Vision 2030 targets — including demand sensing, anomaly detection, predictive maintenance, and labor optimization
• Partner with NALO Innovation Architect to evaluate and onboard AI tooling and frameworks appropriate for distribution and logistics contexts
• Document model assumptions, limitations, and performance metrics transparently for non-technical stakeholders

Collaboration & Program Integration

• Integrate analytics deliverables with active NALO 2.0 program workstreams — including SAP EWM, TraceLink, Tulip, and Swisslog automation tracks
• Participate in Agile sprint ceremonies, maintain delivery visibility in Jira, and proactively surface blockers without requiring escalation
• Contribute to data product governance documentation, including data dictionaries, access controls, and lifecycle review artifacts

 

Requirement Detail:

Education:  Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related quantitative discipline

Experience: 9+ years in data engineering, analytics, or applied AI roles; minimum 3 years in cloud analytics environments.

Cloud Platforms: Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) — including managed data services (e.g., Redshift, Synapse, BigQuery, Databricks, Snowflake).

Data Ingestion: Demonstrated experience designing and operating data ingestion pipelines (ETL/ELT) using tools such as Azure Data Factory, AWS Glue, Informatica, dbt, Apache Kafka, or equivalent.

Analytics & BI: Proficiency in SQL, Python (pandas, PySpark, or equivalent); experience delivering production dashboards in Power BI, Tableau, or similar platforms.

AI/ML: Working knowledge of ML model development and operationalization (MLOps); experience with at least one major ML framework (scikit-learn, XGBoost, or similar).

Self-Direction: Demonstrated ability to scope, prioritize, and deliver independently in ambiguous program environments without day-to-day supervision.

Thank You

Satti Reddy