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Temporary Machine Learning Architect Jobs in Indiana

Research Scientist Senior

Indianapolis, IN · On-site +1

$94K - $119K/yr

Develops scalable machine learning and reinforcement learning systems that improve healthcare ... Partners closely with engineering, architecture, analytics, product, and business teams to deploy ...

Research Scientist Senior

Indianapolis, IN · On-site

$94K - $120K/yr

Develops scalable machine learning and reinforcement learning systems that improve healthcare ... Partners closely with engineering, architecture, analytics, product, and business teams to deploy ...

Research Scientist Senior

Indianapolis, IN · On-site +1

$94K - $120K/yr

Develops scalable machine learning and reinforcement learning systems that improve healthcare ... Partners closely with engineering, architecture, analytics, product, and business teams to deploy ...

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be ... architecture. Benefits * Unlimited Vacation Policy + Sick Time + Holidays * Paid Parental Leave

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be ... architecture. Benefits * Unlimited Vacation Policy+ Sick Time + Holidays * Paid Parental Leave

AI Engineer

Indianapolis, IN · On-site

$100 - $130/hr

Architect end to end data flows, ensuring high quality data ingestion, transformation, storage, and ... Design, develop, and deploy machine learning models and algorithms from proof of concept through ...

New

Architect end to end data flows, ensuring high quality data ingestion, transformation, storage, and ... Design, develop, and deploy machine learning models and algorithms from proof of concept through ...

... and machine learning enablement * Promote architectural patterns that enable resilience ... scalability, cost efficiency, and rapid delivery, including standards for automation, environment ...

Define and enforce governance, security, compliance, and architecture standards for artificial intelligence and machine learning initiatives * Identify high-value AI use cases and guide teams on ...

Showing results 21-40

Temporary Machine Learning Architect information

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Data Scientist with Data Bricks Lakehouse contract C2C requirements

Tech Mirrors

Indianapolis, IN • On-site

$90 - $120/hr

Other

Posted 15 days ago


Job description

Position: Data Scientist with Data Bricks Lakehouse

Location: Indianapolis, IN (Onsite)

Duration: 8+ months

Description:

We are seeking a Databricks Data Scientist with strong experience in Databricks Lakehouse, advanced analytics, and Genie (AI/BI) to design, build, and deploy scalable data science and AI solutions. This role will focus on transforming enterprise data into actionable insights using machine learning, natural language analytics, and self-service BI powered by Databricks Genie.

Key ResponsibilitiesData Science & Machine Learning
  • Design, develop, and deploy machine learning models using Databricks (MLflow, Spark ML, Python).
  • Implement end-to-end ML pipelines (data ingestion→training→deployment→monitoring).
  • Collaborate with data engineers to ensure reliable, high-quality datasets in the Lakehouse.
Databricks & Lakehouse Architecture
  • Leverage Databricks Lakehouse (Delta Lake, Unity Catalog) for scalable analytics.
  • Optimize Spark jobs for performance and cost efficiency.
  • Apply best practices for data governance, lineage, and security.
Genie (AI/BI & Natural Language Analytics)
  • Configure and enable Databricks Genie for self-service analytics.
  • Design semantic layers and curated datasets optimized for natural language queries.
  • Partner with business stakeholders to translate questions into Genie-enabled insights.
Business Enablement & Collaboration
  • Work closely with product owners, analysts, and business leaders to identify high-value use cases.
  • Communicate complex analytical results in a clear, business-friendly manner.
Required Qualifications
  • Bachelor’s or master’s degree in data science, Computer Science, Statistics, Engineering, or a related field.
  • 4+ years of experience in data science or advanced analytics.
  • Hands‑on experience with Databricks and Apache Spark.
  • Strong programming skills in Python (PySpark, Pandas, NumPy, Scikit-learn).
  • Experience building and deploying ML models in production.
  • Solid understanding of SQL and data modeling.
  • Experience with MLflow, model lifecycle management, and experimentation.

Education: At least a bachelor’s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or closely related field is required.

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