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Remote Machine Learning Biology Jobs in Indiana (NOW HIRING)

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Enable future machine learning use cases by ensuring curated datasets are ML-ready, including ...

Cummins

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Build analytical machine learning solutions that predict and influence customer operating ... Remote Location: Columbus and various unanticipated locations throughout the US *Annual USD Salary ...

Cummins

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Build analytical machine learning solutions that predict and influence customer operating ... Remote Location: Columbus and various unanticipated locations throughout the US *Annual USD Salary ...

General Motors

Senior AI/ML Engineer

Indianapolis, IN · On-site +1

$99K - $137K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Experience with computer vision , machine learning , or data‑centric AI projects -- especially ...

BC Forward

Data Analyst V - CX or VoC

Indianapolis, IN · On-site +1

$58 - $65/hr

Remote Duration: Contract - 12 months Pay Range: $58/hr - $65/hr on W2 Job ID: 374024 About ... Apply statistical modeling, machine learning, and NLP to large-scale support interactions such as ...

DISHER

Vision Engineer

Hammond, IN · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

BC Forward

Data Analyst V - CX or VoC

Indianapolis, IN · Remote

$68 - $71/hr

Remote Duration: Contract - 12 months Pay Range: $68 - $71/hr W2 all inclusive Job ID: 373498 About ... Apply advanced statistical modeling, machine learning, and NLP to customer support interactions to ...

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All JobsRemote Machine Learning Biology JobsRemote Machine Learning Biology Jobs in Indiana

Remote Machine Learning Biology information

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Biology professional, and why are they important?

To thrive as a Remote Machine Learning Biology professional, you need a strong foundation in computational biology, machine learning algorithms, programming (such as Python or R), and a relevant degree in bioinformatics, computer science, or biology. Familiarity with bioinformatics tools, data analysis platforms, cloud computing resources, and frameworks like TensorFlow or PyTorch is typically required. Excellent problem-solving, collaboration, and communication skills are essential for effectively interpreting results and working with interdisciplinary teams in a remote environment. These skills and qualities are crucial for advancing biological research through data-driven insights and ensuring effective teamwork and project delivery in a virtual setting.

What is the difference between Remote Machine Learning Biology vs Remote Bioinformatics Specialist?

AspectRemote Machine Learning BiologyRemote Bioinformatics Specialist
Required CredentialsMaster's or PhD in Biology, Data Science, or related fields; experience in machine learningBachelor's or Master's in Bioinformatics, Biology, or Computer Science; programming skills
Work EnvironmentResearch labs, biotech companies, or academic institutions with remote optionsResearch institutions, healthcare, or biotech firms with remote roles
Industry UsageUsed in biotech, pharmaceuticals, and research to analyze biological data with MLApplied in genomics, proteomics, and clinical data analysis

Remote Machine Learning Biology focuses on applying machine learning techniques to biological data, often requiring advanced degrees and programming skills. Remote Bioinformatics Specialists analyze biological datasets using bioinformatics tools. Both roles are vital in biotech and research industries, but they differ in technical focus and required expertise.

How do remote machine learning biology professionals typically collaborate with experimental biologists and other team members?

Remote machine learning biology professionals often work closely with experimental biologists, bioinformaticians, and data engineers through virtual meetings, shared project management tools, and collaborative coding platforms. Regular communication is vital to ensure alignment on research objectives, data requirements, and interpretation of results. Team members typically share data, code, and experimental findings using cloud-based repositories, while frequent check-ins help address challenges and maintain project momentum. This collaborative approach allows remote professionals to contribute effectively to interdisciplinary research, despite physical distance.

What is a Remote Machine Learning Biologist?

A Remote Machine Learning Biologist is a professional who applies machine learning techniques to biological data and problems while working remotely, often from home or a location outside a traditional laboratory or office. They use computational tools and algorithms to analyze complex biological datasets, such as genomics, proteomics, or drug discovery data, to derive insights or make predictions. Their work may involve developing predictive models, automating data analysis, and collaborating with life scientists and engineers. Remote roles in this field require strong skills in both biology and computer science, as well as the ability to work independently and communicate effectively with remote teams.
What are the most commonly searched types of Machine Learning Biology jobs in Indiana? The most popular types of Machine Learning Biology jobs in Indiana are:
What are popular job titles related to Remote Machine Learning Biology jobs in Indiana? For Remote Machine Learning Biology jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Biology jobs in Indiana look for? The top searched job categories for Remote Machine Learning Biology jobs in Indiana are:
What cities in Indiana are hiring for Remote Machine Learning Biology jobs? Cities in Indiana with the most Remote Machine Learning Biology job openings:
Remote Machine Learning Biology jobs near you
Associate Game Developer (Cocos2d) - Remote

Associate Game Developer (Cocos2d) - Remote

micro1 AI

Indianapolis, IN • Remote

$50 - $110/hr

Part-time

Posted 19 days ago

Job description

Job Title: Cocos2d-x Junior Game Developer


Job Type: Contractor


Location: Remote


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Develop and refine game logic, mechanics, and features using Cocos2d-x for prototype and production-level projects.
  2. Collaborate closely with the customer's team to provide high-quality real-world input for AI training processes.
  3. Create, modify, and troubleshoot game assets and scenes to support a diverse set of training objectives.
  4. Test, debug, and optimize Cocos2d-x code to ensure robust and efficient gameplay experiences.
  5. Document code and processes thoroughly, ensuring clarity for both technical and non-technical stakeholders.
  6. Engage in open, clear written and verbal communication to report project status and challenges.
  7. Work iteratively in response to feedback, consistently improving deliverables for AI development needs.


Required Skills and Qualifications:

  1. Solid knowledge of Cocos2d-x and hands-on experience with 2D game development workflows.
  2. Strong problem solving and troubleshooting abilities in a game development context.
  3. Experience collaborating remotely with distributed teams in a fast-paced environment.
  4. Excellent written and verbal communication skills, with a focus on clear, concise updates and documentation.
  5. Ability to follow technical specifications and adapt to evolving project requirements.
  6. Understanding of game design principles and player experience optimization.
  7. Self-motivated, detail-oriented, and eager to grow within a dynamic AI training environment.


Preferred Qualifications:

  1. Experience working on projects for AI training or data generation purposes.
  2. Familiarity with additional game engines or programming languages.
  3. Background in collaborating with AI or machine learning specialists.

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