Remote Ai engineer / machine learning engineer Jobs – 138 Open Jobs Today

AI/ML Engineer
LakeFusion —Remote
- Full-time
- Remote
- Azure
- Master's degree
- SQL
1d
Senior AI Engineer I
AxisMaxlife —Remote
- Remote
- Computer Science
- Master's degree
- Math
AI / ML Engineer
Codvo.ai —Remote
- Remote
- System design
- AWS
- Machine learning
Senior AIOps Engineer I
Porch Group Media —Remote
- ₹24,75,000 - ₹34,65,000 a year
- Full-time
- Remote
- Computer Science
- Master's degree
- SQL
- Paid holidays
- Health insurance
ML / LLM Engineer
Codvo.ai —Remote
- Full-time
- Remote
- Azure
- Master's degree
- AWS
ML Engineer
Ruhumi Technologies —Remote
- From ₹90,000 a month
- Full-time
- Remote
- Software troubleshooting
- Java
- Master's degree
Quick apply
AI Solution Lead
GoWide —Remote
- ₹5,52,211.62 - ₹19,50,910.38 a year
- Full-time
- Remote
- Azure
- Computer Science
- Salesforce
Quick apply
Oracle AI Engineer
Dicetek LLC —Remote
- Remote
- Oracle
- Computer Science
- Databases
Quick apply
Senior Python Engineer / Backend Analytics & AI Architect
Garuda SpaceX Technologies —Remote
- ₹1,60,446.92 - ₹5,67,232.34 a year
- Full-time
- Remote
- Master's degree
- Machine learning
- AI
- Work from home
- Flexible schedule
Quick apply
Senior AIOps Engineer I
Porch —Remote
- ₹24,75,000 - ₹34,65,000 a year
- Full-time
- Remote
- Computer Science
- Master's degree
- SQL
- Paid holidays
- Health insurance
Director, Quality Engineering & AI Testing
Netomi —Remote
- Full-time
- Remote
- Master's degree
- AWS
- Machine learning
Quick apply
Data Science & Machine Learning Intern
Zaalima Development Pvt Ltd —Remote
- ₹1,000 - ₹6,000 a month
- Remote
- SQL
- Analysis skills
- Machine learning
- Flexible schedule
Quick apply
Freelance Research Engineer – Chart-Grounded Fact Correction
Guires Solutions Private Limited —Remote
- From ₹10,000 a month
- Part-time
- Remote
- Doctoral degree
- Computer Science
- Research
- Flexible schedule
Quick apply
4d
AI Platform Engineer
AHEAD —Remote
- Remote
- Azure
- AWS
- Machine learning
- Health insurance
- Paid time off
Gen AI Developer
Scalex Technology Solutions —Remote
- Full-time
- Remote
- Machine learning
- APIs
- AI
Senior AI/ML Engineer
Spark Eighteen —Remote
- Full-time
- Remote
- Master's degree
- Machine learning
- AI
- Health insurance
AI Developer
SNS System —Remote
- Full-time
- Remote
- Azure
- AWS
- Machine learning
Computer Vision Engineer
Wobot.ai —Remote
- Full-time
- Remote
- Computer Science
- Master's degree
- C++
Quick apply
11d
AI Research & Development Lead
Intelehealth —Remote
- Full-time
- Remote
- Medicine
- Doctoral degree
- Master's degree
- Health insurance
- Flexible schedule
ML Research Engineer - Computer Vision
Entrupy —Remote
- Remote
- Computer science
- Master's degree
- C++
- Paid time off
- Paid sick time
Quick apply

I want to receive the latest job alerts for ai engineer / machine learning engineer in remote

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

ai engineer / machine learning engineer jobs near remote

Ai Ml Engineer jobs in Remote

Senior Engineer jobs in Remote

Ai Ml Engineer jobs in Pune, Maharashtra

Oracle Developer jobs in Remote

Ai Developer jobs in Remote

Python Developer jobs in Remote

Data Science Intern jobs in Remote

Researcher jobs in Remote

Senior Ai Ml Engineer jobs in Remote

Computer Vision Engineer jobs in Remote

Platform Engineer jobs in Remote

Network Engineer jobs in Gandhinagar, Gujarat

Government Vacancy Electrical Engineer jobs in Karnataka

Electrical Engineer jobs in Calicut, Kerala

Remote Work Mechanical Engineer jobs in Chennai, Tamil Nadu

Government Chemical Engineer jobs in Karnataka

Fresher Civil Engineer jobs in Mumbai, Maharashtra

Top Mnc Company, Hiring For Civil Engineer jobs in Tamil Nadu

Senior Engineer jobs in Balanagar, Telangana

Environmental Engineer jobs in Surat, Gujarat

AI/ML Engineer

LakeFusion
Remote

Apply Now

Job details

Full-time
1 day ago

Qualifications

TensorFlow
CI/CD
Azure
Law
Master's degree
SQL
Statistical analysis
AWS
Machine learning
Data management
Distributed systems
Continuous integration
Less (style sheet language)
Data science
AI
Communication skills
Python
Master data management
Debugging

Full job description

About the Role

LakeFusion is seeking an experienced AI/ML Engineer to advance the intelligence behind our Master Data Management platform, built natively on the Databricks Data Intelligence Platform. In this role, you will design and optimize LLM-driven entity resolution systems that improve match accuracy, explainability, and performance across enterprise data environments.

You will take a hands-on role in developing prompt engineering strategies, refining Retrieval-Augmented Generation (RAG) architectures, and implementing evaluation frameworks that enhance how data is matched, understood, and trusted. This includes improving precision and recall, reducing bias, and ensuring scalable, cost-efficient model performance in production.

Working closely with product managers, data engineers, and data stewards, you will translate complex business requirements into robust AI/ML solutions and build user-facing tools that provide transparency and control over matching decisions. You will also monitor model performance, identify drift, and continuously iterate to improve outcomes.

This is a highly self-directed role suited for someone who thrives in a fast-paced startup environment, where solving complex AI challenges and building production-grade systems are central to success.

What you’ll do
Lead the design, development, and optimization of prompt engineering strategies for LakeFusion's LLM-based entity matching to improve accuracy, reduce bias, and enhance interpretability.
Drive the continuous improvement of our Retrieval-Augmented Generation (RAG) architecture, refining the interplay between Vector Search candidate generation and LLM evaluation for superior match results.
Iterate on LakeFusion's entity resolution process, exploring novel approaches to enhance match performance (precision, recall, F1-score) and operational efficiency (speed, flexibility, cost).
Investigate and implement advanced LLM evaluation strategies, including multi-stage processing with potentially less powerful models to balance performance, cost, and output quality.
Contribute to the design and development of production-grade, business-user-facing data science tools and workflows that provide transparency and control over AI matching.
Collaborate closely with product managers, data engineers, and data stewards to translate complex business requirements into robust, scalable AI/ML solutions.
Monitor and analyze AI model performance using telemetry from AI Gateway Inference Tables and custom logs, identifying opportunities for continuous improvement and drift mitigation.

‍

What We're Looking For
5+ years of hands-on experience as an ML Engineer, Data Scientist, or similar role, specifically building and deploying machine learning solutions in a production environment.
Deep expertise in Entity Resolution and Master Data Management (MDM), understanding the nuances of data matching, deduplication, and survivorship.
Extensive practical experience with Generative AI (GenAI) concepts, Large Language Models (LLMs), Vector Search, and Retrieval-Augmented Generation (RAG) architectures.
Strong proficiency in Python and its ecosystem for data science and machine learning (e.g., PyTorch, TensorFlow, scikit-learn).
Demonstrated ability to deploy, manage, and optimize modern AI/ML models in production, with a focus on latency, throughput, and cost.
Proven track record of building production-grade data science tools or applications that directly enable business users to interact with and leverage AI/ML insights.
Solid foundation in machine learning fundamentals, including experience with diverse model types and strong statistical analysis skills.
Experience working with the Databricks platform (e.g., Delta Lake, MLflow, Databricks SQL Analytics) is highly desirable.
Excellent problem-solving skills and the ability to debug complex AI systems, understanding the interplay between data, models, and prompts.
Strong communication skills, capable of articulating complex technical concepts to both engineering and non-technical stakeholders.

‍

Nice-to-Have
Experience with MLOps practices, CI/CD for ML pipelines.
Knowledge of distributed computing frameworks beyond Databricks.
Experience with other MDM platforms or enterprise data quality tools.
Familiarity with cloud platforms (AWS, Azure) for AI/ML deployments.

‍

About LakeFusion

LakeFusion is the modern Master Data Management (MDM) company. Global enterprises across industries ranging from retail to manufacturing and financial services rely on the LakeFusion platform to unify, govern, and deliver trusted data entities such as customers, products, suppliers, and employees. Built natively on the Databricks Lakehouse, LakeFusion creates a single source of truth that powers analytics and AI. LakeFusion enables organizations worldwide to accelerate innovation with trusted and governed data.

Apply Now

Refine Your Search

ai engineer / machine learning engineer jobs in remote

AI/ML Engineer

Senior AI Engineer I

AI / ML Engineer

Senior AIOps Engineer I

ML / LLM Engineer

ML Engineer

AI Solution Lead

Oracle AI Engineer

Senior Python Engineer / Backend Analytics & AI Architect

Senior AIOps Engineer I

Director, Quality Engineering & AI Testing

Data Science & Machine Learning Intern

Freelance Research Engineer – Chart-Grounded Fact Correction

AI Platform Engineer

Gen AI Developer

Senior AI/ML Engineer

AI Developer

Computer Vision Engineer

AI Research & Development Lead

ML Research Engineer - Computer Vision

I want to receive the latest job alerts for ai engineer / machine learning engineer in remote

Related Searches

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected