Top Tweets for #MachineLearningJobs
Software Engineer (GitHub Contributor) Posted by micro1 100 openings $50 - $100/hr
#OpenToWork #OpenToNewOpportunities #ActivelyLooking #AIJobs #MachineLearningJobs #RemoteJobs #RemoteWork #WorkFromHome #USAJobs #RemoteJobsUSA
Required Skills
Python3
Java
Rust
Algorithms
Basics c++
Typescript
Codebase refactoring
Github
Bug fixing
Feature implementation
Performance optimization
Logical thinking
Job Description
Role Title: Software Engineer (GitHub Contributor)
Role Type: Contractor
Location: Anywhere in the world, remote
Opportunity Snapshot
Time per task: ~15 hours per run
Onboarding: As soon as you’re selected, Talent Ops will send you everything you need to get started
You’ll need: clear open source contributions and a profile to showcase them, such as GitHub (preferably with C++, Python, Java, Go, TypeScript, or Rust). If you don’t, you’ll be assessed through a HackerRank assessment instead.
Bonus: experts who complete the AI interview for this specific role move through the process significantly faster.
We care about your human judgment: our interview and assessment stages are designed to see how you think, so we ask that you complete them on your own, without AI assistants or help from others.
Job Description
What we're looking for
Strong backend experience in Java, Node.js, Go, Rust, Typescript, Python, C++ or similar
A track record building scalable services and APIs
Comfort with debugging, performance work and automated testing
Solid code review instincts
Preferred Qualifications
Proven experience in backend development, with a track record of delivering high-quality and performant projects.
Demonstrated success in identifying and resolving software bugs and system bottlenecks.
Experience with codebase refactoring and implementing complex features in large-scale applications.
Strong understanding of algorithms, data structures, and foundational computer science concepts.
Excellent analytical, problem-solving, and technical communication skills.
Scope of Work
Contribute expert-level code samples, debugging strategies, and development insights in #Python3, #Java, #Rust, #Go, #C++, or #TypeScript.
Analyze, troubleshoot, and resolve complex software defects and performance bottlenecks in diverse codebases.
.
Preferred Qualifications
Significant hands-on expertise in at least one of the following: Python3, Java, Rust, Go, C++, or TypeScript.
Deep understanding of algorithms, data structures, and software engineering principles.
Proven ability to debug complex systems, resolve bugs, and deliver effective optimizations.
Experience with large codebase refactoring and legacy system modernization.
Track record of delivering high-impact features from conception through delivery within cross-functional projects
Strong documentation and communication skills to articulate technical concepts clearly.
Interest in or curiosity about AI and its technical challenges (previous AI experience not required).
https://t.co/3TuACTEMr1
Customer Success Engineer (India) Full-time position Remote $30K-$45K per year
#OpenToWork #OpenToNewOpportunities #ActivelyLooking #AIJobs #MachineLearningJobs #RemoteJobs #RemoteWork #WorkFromHome #indiaJobs #RemoteJobsindia
About the Role
Mercor has thousands of users joining the platform each week to interview for different roles our clients have posted. When they run into issues or have questions and reach out for help, you will be responsible for giving them a speedy and delightful experience.
You will work directly with our engineering team, triaging and investigating bug reports so being super savvy with modern websites and issues SaaS-type applications run into will come in handy.
Since your conversations with the talent applying on our platform will often be the first interaction someone has with Mercor, maintaining an enthusiastic, upbeat tone while writing at native English level proficiency is important. We use a lighthearted and informal tone in our support communication while at the same time being very professional and precise in our replies.
Note: This is a remote, 6-day/week role requiring substantial overlap with Pacific Time (PT/PST) working hours.
Key Responsibilities
Investigate talent-reported issues end-to-end: reproduce bugs, identify root causes, and separate UX friction, model edge cases, and system defects.
Debug across our AI + SaaS stack using telemetry, logs, network inspection, and database queries to understand production behavior.
Triage with sound judgment — escalate true engineering issues and resolve others via configuration, prompt refinement, or clear user guidance.
Surface systemic patterns and product risks to engineering and product leadership.
Create clear documentation and runbooks to reduce repeat issues and improve resolution speed.
Communicate with precision, professionalism, and empathy.
Qualifications
Ability to debug web applications, likely coming from either a
Degree in Computer Science, Software Engineering, or a related technical field from a top-tier institution or prior experience at a high-growth technology startup.
Experience building modern web applications (#React, #Node, #Flask, #Next.js, etc.) OR
2-5 years of experience supporting customers on such web applications.
Comfortable with AI systems — you’ve played with #LLMs, agents, or generative models.
Experience exploring behavior of AI tools (fine-tuning, prompt chains, chain-of-thought debugging, or building agents).
Ability to understand model outputs, failure modes, hallucinations, and feedback loops.
Familiarity with how modern AI APIs work (#OpenAI, #Anthropic, etc.) or how agent frameworks (#LangChain, #AutoGPT, etc.) function is a plus.
About Mercor
https://t.co/N0MSK5bQkb
ML Engineer Posted by micro1 100 openings $80 - $150/hr
#OpenToWork #OpenToNewOpportunities #ActivelyLooking #AIJobs #MachineLearningJobs #RemoteJobs #RemoteWork #WorkFromHome #USAJobs #RemoteJobsUSA
Required Skills
Machine learning
Job Description
Location: Global, fully remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible—you choose the hours and days you work, including weekends if desired
We are looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and inference systems, numerical computing, performance optimization, and #Python.
The work involves creating, solving, reviewing, and validating challenging machine-learning engineering tasks. A representative task may require implementing or modifying a model, constructing a reproducible training or inference workflow, optimizing memory or throughput, debugging numerical or system-level failures, and verifying that the resulting implementation satisfies objective correctness and performance requirements.
This is a very coding heavy role. Candidates but have experience using coding agents with python in their workflow.
What You’ll Work On
Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.
Implement model components, data pipelines, evaluation systems, and numerical methods.
Build reproducible programmatic workflows using Python and command-line tools.
Required Qualifications
A master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
Strong professional or research experience in machine learning.
Practical proficiency with Python and coding agents.
Relevant tools may include:
#PyTorch
#JAX
#NumPy and #SciPy
#SGLang
#vLLM
l#lama.cpp
#HuggingFaceTransformers
#HuggingFaceTokenizers
Equivalent tools may also be considered when the candidate demonstrates directly relevant depth.
Experience at a well-established technology company, AI laboratory, research organization, or other recognized engineering environment is strongly preferred. Exceptional open-source or academic experience may also qualify.
Process
Apply to the role and complete the screening questions.
Complete an AI interview of approximately 30 minutes.
Complete the hiring manager review.
Compensation Structure
Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.
Minimum submission requirements apply.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first tas
https://t.co/PWWDd6XZPj
AI/ML Engineer, Internal PlatformsPosted by micro11 opening $160 - $300/hr
#OpenToWork #OpenToNewOpportunities #ActivelyLooking #AIJobs #MachineLearningJobs #RemoteJobs #RemoteWork #WorkFromHome #USAJobs #RemoteJobsUSA
Required skills
#Python
#Llms
#AWS
#Fastapi
#Langchain
Job Description
Job Title: AI/ML Engineer, Internal Platforms
Job Type: Full-time
Location: Remote
The Role
Join our team to build and improve a next-generation AI recruiting agent. You'll develop new capabilities, experiment with the latest LLMs and agent frameworks, and ship production-ready AI features that make the agent smarter, more reliable, and more useful.
What You'll Do
Build and improve AI agent capabilities using modern LLMs.
Develop backend services and APIs in Python.
Design and iterate on prompts, workflows, RAG, and agent orchestration.
Evaluate model performance and continuously improve quality through experimentation.
Collaborate with product and engineering teams to deliver AI-powered features.
Deploy and maintain scalable AI systems in production.
Stay current with the latest AI models, tools, and best practices.
What We're Looking For
Strong Python software engineering skills.
Experience building applications with LLMs and AI APIs.
Familiarity with agent frameworks such as LangChain, LangGraph, or LlamaIndex.
Experience building APIs with FastAPI or similar frameworks.
Experience with cloud platforms (AWS, GCP, or Azure).
Strong problem-solving skills and an experimental mindset.
Excellent communication and collaboration skills.
Preferred Qualifications
Experience shipping AI products or AI agents to production.
Familiarity with RAG, tool calling, model evaluation, or prompt engineering.
Contributions to open-source AI projects or personal AI applications.
Experience working in fast-paced, AI-first environments.
https://t.co/xEAx5RHzb5
🚀 AI/ML Engineer @ Hitachi Energy
📍 Chennai | 2-6 Years
🎓 BE/BTech or Master’s in CS, DS, AI, Software Engg
💻 Python, TensorFlow, PyTorch, Azure, GenAI
#Jobformore #HitachiEnergy #AIMLEngineer #ChennaiJobs #MachineLearningJobs
Apply: https://t.co/rswxawYJdG
🚀 AIML Engineer @ IQVIA
📍 Bangalore | 2-3 Years
🎓 Bachelor’s/Master’s in ML, Stats, CS, Physics, Math
💻 Python, Java, R, Kubernetes, Deep Learning
#Jobformore #IQVIA #AIMLEngineer #BangaloreJobs #MachineLearningJobs
Apply: https://t.co/I1CwJrSAgR
Ours is a new golden world!
Read More: https://t.co/rW5m5j5yj7
#BSNewsMedia #BSNews #BSMedia #BSNewsCompany #BSNewsUpdates #BSMediaHouse #ArtificialIntelligenceJobs #AIJobs #FutureOfWork #TechCareers #JobTrends #AIApplications #CareerInAI #MachineLearningJobs
How to Make Money with Kaggle in 2025 – Beginner’s Ultimate Guide
#Kaggle2025 #DataScienceMoney #EarnWithAI #MachineLearningJobs #KaggleTips #AIforBeginners #OnlineIncome2025 #DataScienceLife #jksdigital #marketing
https://t.co/z6GYE2vvSN
Looking for Your Next Data Science Engineer Role on H1B? We’re Hiring!
Position: Data Science Engineer
Email Resume: [email protected]
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#DataScienceJobs #DataEngineer #PythonJobs #MachineLearningJobs #H1BTransfer #H1BJobs #OnsiteJobs #DenverJobs #RCBForever #Trophy
Want to become an AI engineer?
The University of Wisconsin-Madison believes mastering Pixi should top your toolkit!
Find the job listing from @UWMadison here: https://t.co/hiHJZCFvDh
#ai #ml #machinelearningjobs #aijobs #pixi
Our partner company is hiring 2 Machine Learning Engineers 🤩
Job Application Link: https://t.co/4oE8SqCmcb
How to Apply:
1.Login or Create a Talent Profile on the Umurava Platform
2.Visit the Job Board and Apply
#MachineLearningJobs #TechCareers #jobopportunities
📈 AI and Machine Learning in DevOps
#DevOpsCareers #FutureOfWork #MachineLearningJobs #CareerGrowth #TechCareerAdvice
Looking for your next career move in Data Science, Machine Learning, or AI?
Explore 50,000+ jobs in the USA on https://t.co/4Cx960rKRp! Start your journey today!
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https://t.co/4Cx960siGX: Top Data Science, Machine Learning, and AI Job Opportunities.
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https://t.co/4Cx960rKRp your go-to spot for snagging gigs in Data Science, Machine Learning, and AI.
Whether you're chasing down research roles or climbing the career ladder, we've got the hookup.
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Machine Learning Scientist
at Scientist
Details: https://t.co/MkpWPHotZz
#MachineLearning #MachineLearningJobs #AI #AIJobs #Jobs #JobOpportunity #MachineLearningScientist #Scientist
Senior Applied Scientist, Amazon
Details: https://t.co/tS37t3xciN
#MachineLearning #AI #artificiallntelligence #MachineLearningJobs #AIJobs #SeniorAppliedScientist #Amazon #Jobs #JobOpportunity
Data Scientist
at Spotify
Details: https://t.co/rH0v4TKbNl
#DataScientist #DataScientist #DataScience #DataScienceJobs #AI #AIJobs #MachineLearning #MachineLearningJobs #Jobs #JobOpportunity #spotify
Data Scientist
at Paramount Pictures
Details: https://t.co/xJrHPhZcmq
#DataScientist #DataScientist #DataScience #DataScienceJobs #AI #AIJobs #MachineLearning #MachineLearningJobs #Jobs #JobOpportunity #ParamountPictures
Machine Learning Engineer, Applied AI
at OpenAI
Details: https://t.co/a8bcBrT7pd
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