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Remote Startup Data Engineer Jobs in Indiana (NOW HIRING)

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Demonstrated experience with at least one major programming language (e.g., C++, Python, Java, C#)

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Demonstrated experience with at least one major programming language (e.g., C++, Python, Java, C#)

Cobol/IDMS Developer (Remote)

Indianapolis, IN · On-site +1

$48 - $65/hr

This will be a 100% remote Contract-to-Hire position. * Must be a US Citizen. * SELECTED CANDIDATES ... data processing systems for product and commercial software. * Determine computer user needs ...

Preventia is a startup that specializes in telehealth network technology, located in downtown ... We have a flexible work environment with a mixture of remote work and in office hours.

Cobol/IDMS Developer (Remote)

Indianapolis, IN · Remote

$48 - $65/hr

This will be a 100% remote Contract-to-Hire position. * Must be a US Citizen. * SELECTED CANDIDATES ... data processing systems for product and commercial software. * Determine computer user needs ...

Cobol/IDMS Developer (Remote)

Indianapolis, IN · Remote

$48 - $65/hr

This will be a 100% remote Contract-to-Hire position. * Must be a US Citizen. * SELECTED CANDIDATES ... data processing systems for product and commercial software. * Determine computer user needs ...

Remote. Key Responsibilities * Be responsible for hands-on execution of projects including Startup, commissioning, troubleshooting, engineering, design, and repair of Power Delivery equipment in ...

Showing results 41-60

Remote Startup Data Engineer information

What is the difference between Remote Startup Data Engineer vs Remote Startup Data Analyst?

AspectRemote Startup Data EngineerRemote Startup Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentBuilding data pipelines, infrastructureInterpreting data, creating reports
Employer & Industry UsageTech startups, SaaS companiesMarketing agencies, e-commerce startups
Common Search & ComparisonOften compared for technical depth and infrastructure focusCompared for data interpretation and business insights

The main difference between a Remote Startup Data Engineer and a Remote Startup Data Analyst lies in their focus areas. Data Engineers build and maintain data infrastructure, while Data Analysts interpret data to inform business decisions. Both roles are essential in startups but require different skill sets and responsibilities.

What are the most commonly searched types of Startup Data Engineer jobs in Indiana?

The most popular types of Startup Data Engineer jobs in Indiana are:

What job categories do people searching Remote Startup Data Engineer jobs in Indiana look for?

The top searched job categories for Remote Startup Data Engineer jobs in Indiana are:

What cities in Indiana are hiring for Remote Startup Data Engineer jobs?

Cities in Indiana with the most Remote Startup Data Engineer job openings:

Generative AI Automation Engineer - Remote Job

EnthuZiastic

South Bend, IN • Remote

Full-time

Re-posted 14 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.