Home Based Data scientist & engineer Jobs – 80 Open Jobs Today

AI Platform Engineer
AHEAD —Remote
- Remote
- Azure
- AWS
- Machine learning
- Health insurance
- Paid time off
Machine Learning (ML) Engineer
Futops Technologies India Pvt. Ltd —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Java
- Work from home
Praxis Global Alliance - Backend Engineer & Architect
Praxian Global Private Limited —Remote
- Remote
- Computer Science
- SQL
- Bachelor's degree
Quick apply
9h
AI/ML Engineer II
Precision Medicine Group —Remote
- Online application
- Remote
- Microsoft Excel
- Azure
- Computer Science
AI/ML Engineer
ZoftSolutions Pvt Ltd —Remote
- Full-time
- Remote
- Azure
- Databases
- AWS
- Health insurance
- Work from home
Quick apply
Modeling & Simulation Specialist Associate
General Dynamics Information Technology —Remote
- ₹64,230 - ₹74,750 a year
- Remote
- B.Sc
- Bachelor's degree
- Travel
- Paid time off
IT Recruiter
Corvi Technologies —Remote
- ₹3,00,000 - ₹5,00,000 a year
- Full-time
- Remote
- Java
- Human resources
- Recruiting
Quick apply
Azure Data engineer
Princeton Software Services Pvt. Ltd. —Remote
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
Quick apply
Technical Onboarding Engineer
Neo4j —Remote
- Remote
- Azure
- AWS
- Linux
AI Engineer - FDE (Forward Deployed Engineer)
Databricks —Remote
- Remote
- Azure
- Computer Science
- AWS
Full Stack Developer
Citta Solutions —Remote
- ₹45,000 a month
- Full-time
- Remote
- Computer Science
- Software troubleshooting
- Java
Backend Engineer [Mid-Level]
Portcast —Remote
- Full-time
- Remote
- Computer Science
- Master's degree
- AWS
Quick apply
6d
GTM Enablement Lead
OpenAI —Remote
- Full-time
- Remote
- Project management
- Presentation skills
- AI
AI/ML Engineer II
Precision AQ —Remote
- Online application
- Remote
- Microsoft Excel
- Azure
- Computer Science
Quick apply
Software Engineer II - ML Model Platform
Indeed —Remote
- ₹29,30,000 - ₹46,90,000 a year
- Full-time
- Remote
- Computer Science
- AWS
- Electrical experience
- Health insurance
- Paid time off
Quick apply
Solution Architect
Codvo.ai —Remote
- Remote
- APIs
- AI
- Python
Product Manager
Mango Sciencies —Remote
- ₹7,72,482.77 - ₹22,86,621.13 a year
- Full-time
- Remote
- Computer Science
- Master's degree
- SQL
Quick apply
Sr. Python Developer
Echotech —Remote
- ₹12,922.75 - ₹65,783.06 a month
- Part-time
- Remote
- Azure
- System design
- Machine learning
Quick apply
AI Developer
SNS System —Remote
- Full-time
- Remote
- Azure
- AWS
- Machine learning
Solution Architect – AWS
Techvariable —Remote
- Full-time
- Remote
- SQL
- AWS
- Linux

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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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data scientist & engineer jobs in home based

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