Remote Scientist Jobs – 101 Open Jobs Today

AI Platform Engineer
AHEAD —Remote
- Remote
- Azure
- AWS
- Machine learning
- Health insurance
- Paid time off
Solution Architect
Codvo.ai —Remote
- Remote
- APIs
- AI
- Python
Technical Onboarding Engineer
Neo4j —Remote
- Remote
- Azure
- AWS
- Linux
Data Engineer Lead (OT Data)( Oil & Gas) (India)
Codvo.ai —Remote
- Remote
- Azure
- Engineering
- ERP systems
LLM Platform Engineer/Lead (m/f/d)
Kayzen —Remote
- Remote
- Azure
- System design
- Master's degree
- Work from home
Quick apply
Marketing Coordinator
Digbi Health —Remote
- Full-time
- Remote
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Senior Product Manager
Tandems —Remote
- Full-time
- Remote
- Research
- Analysis skills
- Machine learning
- Health insurance
- Paid time off
Quick apply
Senior Software Engineer (BE & Infra heavy)
Portcast —Remote
- Full-time
- Remote
- Computer Science
- Master's degree
- AWS
Quick apply
Azure Data engineer
Princeton Software Services Pvt. Ltd. —Remote
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
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Senior Data Engineer, Mandarin
A5 Labs —Remote
- Remote
- Computer Science
- English
- Master's degree
Business Development Executive (BDE)
Scalex Technology Solutions —Remote
- Full-time
- Remote
- CRM software
- Sales
- Marketing
Senior Software Engineer, Security Engineering - India
JumpCloud —Remote
- Full-time
- Remote
- English
- AWS
- Machine learning
Quick apply
Senior MLOps Engineer
Versatile People —Remote
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
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Backend Engineer II – Data Platform
Netomi —Remote
- Full-time
- Remote
- Computer Science
- DevOps
- Java
Quick apply

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Principal Solution Architect - AI
Algoworks Technologies Pvt. Ltd —Remote
*8 - 12 years of experience in software architecture and system design, including at least 3 - 4 years working with AI/ML or generative AI systems.*.
₹25,00,000 - ₹4,00,00,000 a year
Quick apply
Dynamics 365 Technical Solution Architect
Kerner Norland —Remote
Guidance and support to the delivery team (including 2–3 developers) across environment strategy, configuration approach, solution design, integration…
₹10,00,000 - ₹20,00,000 a year
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AI Platform Engineer

AHEAD -
Remote

Apply Now

Job details

Benefits

Health insurance
Paid time off

Qualifications

TensorFlow
CI/CD
Azure
Kubernetes
Ansible
PyTorch
AWS
Machine learning
Terraform
Continuous integration
Scalability
AI
Python

Full job description

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.

At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.

We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.

We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.

We are seeking an experienced AI Platform Engineer to design, deploy, and optimize AI/ML infrastructure, AI workflows, and automated pipelines. This role focuses on building scalable environments for training and deploying machine learning models, leveraging modern orchestration, automation, and GPU acceleration technologies. You will collaborate with data scientists and platform engineers to drive efficient resource utilization and scalable operations across cloud and hybrid environments.

Key Responsibilities

Kubernetes for AI/ML: Architect and manage Kubernetes clusters tailored to AI/ML workloads.
GPU Orchestration: Implement Run:ai and operators for GPU resource orchestration and workload scheduling.
Automation & Pipelines: Develop and maintain Python-based automation scripts and ML pipelines; automate infrastructure provisioning with Terraform and configuration management with Ansible.
Notebooks & Collaboration: Create and manage Jupyter Notebooks for experimentation and collaboration.
NVIDIA Integration: Integrate and optimize NVIDIA Enterprise Suite components (CUDA, NeMo Framework, Triton, TensorRT, GPU drivers) for accelerated computing.
MLOps Practices: Establish and maintain MLOps best practices for model lifecycle management, CI/CD, and monitoring (e.g., MLflow, Kubeflow).
Collaboration: Work closely with data scientists and platform engineers to ensure efficient resource utilization and scalability across environments.

Required Skills & Experience

Strong proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch).
Hands-on experience with Kubernetes and container orchestration.
Familiarity with Run:ai or similar GPU scheduling platforms.
Expertise in Terraform and Ansible for infrastructure automation.
Experience with Jupyter Notebooks for ML development.
Knowledge of NVIDIA Enterprise Suite (CUDA, NeMo Framework, Triton, GPU drivers).
Solid understanding of MLOps principles and tools (e.g., MLflow, Kubeflow).
Background in deploying and scaling AI workloads in cloud or hybrid environments.

Qualifications

4+ years in platform architecture or solutions architecture, with 2+ years focused on AI/ML workloads.
Experience with high-performance computing (HPC) environments.
Familiarity with distributed training and model optimization techniques.
Certification in Kubernetes or cloud platforms (AWS, Azure, GCP).

Why AHEAD:

Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.

We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.

India Employment Benefits include:

Comprehensive health insurance coverage for employees, with options to extend coverage to dependents

Paid time off and company holidays, along with additional leave benefits as per policy

Flexible work arrangements, supporting work-life balance

Learning and development opportunities to support continuous growth and upskilling

Employee wellness initiatives and programs focused on physical and mental well-being

Retirement and statutory benefits in line with India regulations

Inclusive and people-first culture, with a strong focus on collaboration and ownership

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply Now

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scientist jobs in remote

AI Platform Engineer

Solution Architect

Technical Onboarding Engineer

Data Engineer Lead (OT Data)( Oil & Gas) (India)

LLM Platform Engineer/Lead (m/f/d)

Marketing Coordinator

Senior Product Manager

Senior Software Engineer (BE & Infra heavy)

Azure Data engineer

Senior Data Engineer, Mandarin

Business Development Executive (BDE)

Senior Software Engineer, Security Engineering - India

Senior MLOps Engineer

Backend Engineer II – Data Platform

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