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Remote Machine Learning Engineer Biotech Jobs in Ohio

$93K - $128K/yr

Sr. RAN Engineer- Remote, Canada The Select Group is seeking an experienced RAN Engineer to join a ... Familiarity with data science and machine learning techniques - especially anomaly detection and ...

Data Solutions Engineer

Cincinnati, OH · On-site +1

$91K - $156K/yr

Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering. Explore new technologies and methodologies to continuously improve systems, tools, and data processes.

AI Engineer

Cincinnati, OH · On-site +1

$101K - $159K/yr

... machine learning and deep learning models. Ability to build and deploy MCP servers to provide LLMs ... remote tools.. * Applicant should have experience in infrastructure disciplines of networking ...

... machine learning, AI agents, automation, model governance, and responsible AI practices. Daily Activities: • Collaborate with engineering, data science, and design teams to review progress and ...

AI Engineer

Cincinnati, OH · On-site +1

$124K - $160K/yr

Overview The AI Engineer will play a crucial role in developing and implementing artificial ... Design, develop, and implement machine learning and deep learning models to address various ...

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH · On-site +1

$65.25 - $87.50/hr

... programming (Python/Scala) * Experience with Azure ecosystem, preferable * Knowledge of Linux OS * Familiarity with machine learning and data science concepts Benefits * Fully Remote work-from-home ...

Senior Data Engineer

Cleveland, OH · On-site +1

$102K - $139K/yr

* Experience: 8-10 years in Data Engineering and Data Analysis. * Informatica Expertise: Strong hands ... Familiarity with machine learning models and AI concepts. * Experience with data modeling tools ...

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Remote Machine Learning Engineer Biotech information

What are some common challenges faced by remote machine learning engineers in the biotech industry, and how can they be addressed?

Remote machine learning engineers in biotech often face challenges such as managing large datasets securely, collaborating effectively across multidisciplinary teams, and staying updated with the latest scientific and technical developments. Communication is key—regular video meetings and clear documentation help bridge gaps with colleagues in research, data science, and regulatory domains. Additionally, leveraging secure cloud platforms and adhering to data privacy regulations are essential for handling sensitive biological information. Staying proactive with self-learning and participating in online forums or company-sponsored training can also help address these challenges.

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

To thrive as a Remote Machine Learning Engineer in Biotech, you need a strong background in computer science, statistical modeling, and biology, typically supported by a relevant degree and experience in data-driven research. Proficiency with programming languages like Python or R, machine learning frameworks (such as TensorFlow or PyTorch), and bioinformatics tools is essential, and certifications in data science or machine learning are advantageous. Strong problem-solving, communication, and collaboration skills are crucial for working effectively in remote, interdisciplinary teams and explaining complex results to stakeholders. These skills ensure accurate model development, effective knowledge transfer, and impactful contributions to biotech innovations.

What does a Remote Machine Learning Engineer do in the biotech industry?

A Remote Machine Learning Engineer in the biotech industry develops and implements machine learning models to analyze biological data, such as genomics, proteomics, or medical imaging. They collaborate with scientists and researchers to interpret complex datasets, automate data-driven processes, and drive innovation in drug discovery, diagnostics, or personalized medicine. Working remotely, they use programming, data science, and domain knowledge to create solutions that improve research efficiency and outcomes in biotechnology.
What job categories do people searching Remote Machine Learning Engineer Biotech jobs in Ohio look for? The top searched job categories for Remote Machine Learning Engineer Biotech jobs in Ohio are:
What cities in Ohio are hiring for Remote Machine Learning Engineer Biotech jobs? Cities in Ohio with the most Remote Machine Learning Engineer Biotech job openings:
Infographic showing various Remote Machine Learning Engineer Biotech job openings in Ohio as of June 2026, with employment types broken down into 3% As Needed, 86% Full Time, 3% Part Time, 3% Temporary, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Associate Game Developer (Cocos2d) - Remote

Associate Game Developer (Cocos2d) - Remote

micro1 AI

Columbus, OH • Remote

$50 - $110/hr

Part-time

Posted 16 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.