Remote Data scientist Jobs – 128 Open Jobs Today

AI / ML Engineer
Codvo.ai —Remote
- Remote
- System design
- AWS
- Machine learning
Offshore - AI Solutions Engineer
Smartbridge —Remote
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
Quick apply
Lead Gen AI/Agentic AI Engineer
Saransh —Remote
- ₹55 - ₹58 an hour
- Remote
- DevOps
- System design
- Databases
Quick apply
4d
Manager / Area Manager Artificial Intelligence
Tata Steel Ltd —Remote
- Remote
- Azure
- Master's degree
- SQL
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NLP Employability Training Program
V Career —Remote
- Remote
- SQL
- Machine learning
- Internship
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Senior Product Manager, AI
Trellix —Remote
- Remote
- Master's degree
- Product management
- APIs
- Health insurance
- Paid time off
Senior Ai ml Engineer
Refill Health Pvt . Ltd —Remote
- Part-time
- Remote
- Azure
- Computer Science
- English
- Flexible schedule
Quick apply
5d
Senior Machine Learning Engineer / Tech Lead - AI & ML
Civo —Remote
- Remote
- Computer Science
- Bachelor's degree
- Machine learning
Manager / Area Manager Artificial Intelligence
Tata Steel —Remote
- Remote
- Azure
- Master's degree
- SQL

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Python Developer Intern
Levroxen —Remote
Pay: ₹8,000.00 - ₹12,000.00 per month. Write clean, well-structured Python code following best practices and team coding standards.
₹8,000 - ₹12,000 a month
Quick apply
Hiring Python Developer Intern / Freelancer
7Range Soft Solution —Remote
This internship is ideal for students, freshers, and self-taught developers who want to gain practical experience in Python development.
₹5,000 - ₹10,000 a month
Quick apply

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AI / ML Engineer

Codvo.ai
Remote

Apply Now

Job details

Qualifications

CI/CD
Performance tuning
Image processing
Cloud infrastructure
Kubernetes
PyTorch
Computer vision
Software deployment
System design
AWS
Docker
Machine learning
Distributed systems
Continuous integration
Deep learning
Software development
Agile
S3
Training & development
AI
Python

Full job description

Job Title: AI/ML Engineer

Job Summary

We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy scalable machine learning and deep learning solutions. The ideal candidate will have strong experience in computer vision, deep learning frameworks, and cloud-based ML deployment, along with solid software engineering and MLOps practices. You will work closely with cross-functional teams to build production-ready AI systems that deliver real business impact.

Experience: 5+ Years

Location: Bangalore

Timings: 2:30 to 11:30 PM IST

Key Responsibilities

Design, develop, and optimize machine learning and deep learning models using PyTorch.
Build and deploy computer vision solutions for real-world use cases.
Develop end-to-end ML pipelines, including data ingestion, preprocessing, training, validation, and deployment.
Implement and maintain MLOps workflows for model versioning, monitoring, CI/CD, and retraining.
Deploy and scale ML models on AWS cloud infrastructure.
Work with large-scale datasets using Databricks and distributed computing frameworks.
Collaborate with data scientists, product managers, and software engineers to translate business requirements into AI solutions.
Ensure high code quality by following software engineering best practices (modular design, testing, documentation).
Monitor model performance in production and continuously improve accuracy, efficiency, and reliability.

Required Skills & Qualifications

Strong proficiency in Python for machine learning and software development.
Hands-on experience with PyTorch for deep learning model development.
Solid understanding of deep learning architectures (CNNs, transfer learning, etc.).
Practical experience in computer vision applications.
Experience working with Databricks and large-scale data processing.
Strong knowledge of AWS services for ML deployment (EC2, S3, SageMaker, etc.).
Experience with MLOps tools and practices (model deployment, monitoring, CI/CD).
Good understanding of software engineering principles and production-grade system design.

Preferred Qualifications

Experience deploying ML models in production environments.
Familiarity with containerization tools such as Docker and orchestration platforms like Kubernetes.
Exposure to real-time or batch inference systems.
Experience working in agile or fast-paced development environments.

Nice to Have

Experience with optimization and performance tuning of ML models.
Knowledge of data security and compliance in cloud environments.
Experience with monitoring tools for ML model performance and drift detection.

Apply Now

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data scientist jobs in remote

AI / ML Engineer

Offshore - AI Solutions Engineer

Lead Gen AI/Agentic AI Engineer

Manager / Area Manager Artificial Intelligence

NLP Employability Training Program

Senior Product Manager, AI

Senior Ai ml Engineer

Senior Machine Learning Engineer / Tech Lead - AI & ML

Manager / Area Manager Artificial Intelligence

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