Remote E learning Jobs – 111 Open Jobs Today

Data Science & Engineering Lead
Particle41 —Remote
- Remote
- Azure
- Doctoral degree
- Master's degree
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PHP Codeigniter Developer
Red Apple Technologies —Remote
- ₹12,612.16 - ₹51,761.71 a month
- Full-time
- Remote
- Computer Science
- Master's degree
- AWS
- Health insurance
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Sales Associate
Talentgum —Remote
- ₹25,000 - ₹30,000 a month
- Weekend availability
- Remote
- Sales
- Public speaking
- Communication skills
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Full Stack Javascript Developer
Particle41 —Remote
- Remote
- Azure
- Computer Science
- Databases
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ML Research Engineer - Computer Vision
Entrupy —Remote
- Remote
- Computer science
- Master's degree
- C++
- Paid time off
- Paid sick time
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11d
TechLead-Fullstack(Node, React)
Digit88 Technologies —Remote
- Full-time
- Remote
- Computer Science
- DevOps
- Java
- Health insurance
Senior AI Engineer / AI Architect (Part-Time)
eQuestever LLC —Remote
- Part-time
- Remote
- Azure
- Computer Science
- HIPAA
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2d
Campus Ambassador Intern (Part time/Remote)
Devexis India —Remote
- Part-time
- Remote
- Windows
- Java
- Internship
Senior Marketing Manager
SFJ Business Solutions —Remote
- Full-time
- Remote
- Marketing
- Bachelor's degree
- Business Administration
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Full Stack Developer – Netsuite & .NET Specialist
Particle41 —Remote
- Remote
- Computer Science
- Analysis skills
- Bachelor's degree
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Senior Software Engineer
YipitData (Alternative) —Remote
- Remote
- Azure
- Computer Science
- ERP systems
- Paid time off
Software Engineer III
Spreetail —Remote
- Email
- Remote
- Windows
- AI
- Python
- Work from home
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Senior Software Engineer
YipitData —Remote
- Remote
- Azure
- Computer Science
- ERP systems
- Paid time off
Solution Engineer - Chatbots
Digit88 Technologies —Remote
- Full-time
- Remote
- Computer Science
- Engineering
- Java
- Health insurance
Meta & Google Ads Manager (4-5 Years Experience)
Codeaxia Digital Solutions —Remote
- Up to ₹55,000 a month
- Full-time
- Remote
- English
- Bachelor's degree
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4d
Full Stack Python and React Engineer II
Spreetail —Remote
- Email
- Remote
- Windows
- Master's degree
- APIs
- Work from home
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Sr. Backend Engineer
YipitData —Remote
- Remote
- Azure
- Computer Science
- ERP systems
- Paid time off
SITE RELIABILITY ENGINEER (FULL-STACK)
UpSmart Solutions —Remote
- Weekend availability
- Remote
- Java
- Databases
- Communication skills
- Flexible schedule
Learning & Development Specialist - Full Remote
Cube Care —Remote
- Full-time
- Remote
- Windows
- Project management
- Education
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10h

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Optimize videos for social media platforms. Work closely with the social media and design teams. Hands-on experience with real client projects.
₹2,000 - ₹5,000 a month
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1d
Video Editor
ptemocktest.com —Remote
Collaborate with the content team to conceptualize and execute video projects that align with our brand. Stay updated on the latest video editing trends and…
₹10,000 - ₹18,000 a month
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11d

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Data Science & Engineering Lead

Particle41
Remote

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Job details

Qualifications

TensorFlow
Elasticsearch
Power BI
Image processing
Cloud infrastructure
Azure
Law
Doctoral degree
Big data
Spark
NumPy
AWS Certification
Microsoft SQL Server
NoSQL
MongoDB
Tableau
Master's degree
Databases
Pandas
AWS
Bachelor's degree
Machine learning
PostgreSQL
Terraform
Azure Certification
Mentoring
Natural language processing
OpenCV
APIs
Regression analysis
Kafka
Data science
DynamoDB
AI
Leadership
Communication skills
Python
MySQL
Data Science
Identity & access management

Full job description

Data Science & Engineering Lead

Lead the charge in AI and data innovation as our Data Science & Engineering Lead. Here, you'll work hands-on with our talented team to build and deploy high-impact ML models, optimize our data systems, and drive actionable insights. If you're skilled in advanced AI tools like Databricks, Spark, and Azure, and excited to push boundaries in machine learning and engineering, we want you on our team. Join us for meaningful work, a collaborative culture, and competitive benefits.

In This Role, You Will:

Design and implement supervised and unsupervised ML models (e.g., OLS, Logistic Regression, Ensemble Methods) to solve real-world business problems.
Lead model development for advanced architectures in neural networks, such as ANN, CNN, RNN, GAN, Transformers, and RESNet.
Drive NLP advancements with tools like NLTK and neural-based language models.
Oversee the development of computer vision models, utilizing OpenCV for real-world applications.
Lead time-series modeling projects for forecasting and anomaly detection.
Utilize AI techniques like Retrieval-Augmented Generation (RAG), Chain of Thought (CoT), and Model of Alignment (MOA) to enhance model performance.
Build and maintain scalable data pipelines for both streaming and batch processing.
Architect and optimize lakehouse solutions using Delta/Iceberg and bronze-silver-gold architectures.
Lead the development of ETL processes with tools like Airflow, DBT, and Airbyte to support data flow and transformation.
Design and optimize database models for OLTP and OLAP systems using Snowflake, SQL Server, PostgreSQL, and MySQL.
Develop NoSQL solutions, leveraging MongoDB, DynamoDB, and ElasticSearch for unstructured data.
Lead efforts in building cloud infrastructure, particularly in AWS (preferred) or Azure, using services such as Lambda, API Gateway, Batch processing, Kinesis, and Kafka.
Oversee MLOps pipelines for robust deployment of ML models in production with platforms like Sagemaker, Databricks, and Azure ML Studio.
Develop and optimize business intelligence dashboards with tools like Tableau, QuickSight, and PowerBI for actionable insights.
Implement GPU acceleration and CUDA for model training and optimization.
Mentor junior team members in cutting-edge AI/ML techniques and best practices.

Skills and Experience We Value:

Proven expertise in both supervised and unsupervised ML, advanced deep learning, including TensorFlow, PyTorch, and neural network architectures (e.g., CNN, GAN, Transformers).
Hands-on experience with machine learning libraries and tools such as Scikit-learn, Pandas, and Numpy.
Proficiency in AI model development using LLM libraries (e.g., Langchain, Huggingface, OpenAI).
Strong MLOps skills, with experience deploying scalable pipelines in production using tools like Sagemaker, Databricks, and Azure ML Studio.
Advanced skills in big data frameworks like Apache Spark, Glue, and EMR for distributed model training.
Expertise in ETL processes and data pipeline development with tools like Airflow, DBT, and Airbyte.
Strong knowledge in lakehouse architectures (Delta/Iceberg) and experience with data quality frameworks like Great Expectations.
Proficiency in cloud platforms (AWS preferred or Azure), with a deep understanding of services like IAM, VPC networking, Lambda, API Gateway, Batch, Kinesis, and Kafka.
Proficiency with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation for automation.
Advanced skills in GPU acceleration, CUDA, and distributed model training.
Demonstrated ability to architect and deploy scalable machine learning and data-intensive systems.
Proficiency in database modeling for OLTP/OLAP systems and expertise with relational and NoSQL databases.
Strong mentoring skills, with a proven track record of guiding junior team members in AI/ML best practices.
Bachelor's degree in a related field (required), with a Master's or PhD in Data Science or a related field (preferred).
7+ years of experience in data science, machine learning, or data engineering.
AWS or Azure certification (strongly preferred).
Strong communication and leadership skills with experience working cross-functionally to deliver high-impact data solutions.

About Particle41
Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence ( ELITE )

E - Empowering: Enabling individuals to reach their full potential.
L - Leadership: Taking initiative and guiding each other toward success.
I - Innovation: Embracing creativity and new ideas to stay ahead.
T - Teamwork: Collaborating with empathy to achieve common goals.
E - Excellence: Striving for the highest quality in everything we do.

We seek team members who embody these values and are committed to contributing to our mission. Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring.

We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at [email protected].

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e learning jobs in remote

Data Science & Engineering Lead

PHP Codeigniter Developer

Sales Associate

Full Stack Javascript Developer

ML Research Engineer - Computer Vision

TechLead-Fullstack(Node, React)

Senior AI Engineer / AI Architect (Part-Time)

Campus Ambassador Intern (Part time/Remote)

Senior Marketing Manager

Full Stack Developer – Netsuite & .NET Specialist

Senior Software Engineer

Software Engineer III

Senior Software Engineer

Solution Engineer - Chatbots

Meta & Google Ads Manager (4-5 Years Experience)

Full Stack Python and React Engineer II

Sr. Backend Engineer

SITE RELIABILITY ENGINEER (FULL-STACK)

Learning & Development Specialist - Full Remote

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