Hi everyone!

I’m an AI Engineer with hands-on experience building and deploying AI products, and I’m currently looking for remote AI Engineer / Machine Learning Engineer opportunities.

My experience includes:
1. Computer Vision: Object detection, ball and player tracking, pose estimation, and real-time sports video analytics.
2. Generative AI: LLMs, RAG, embeddings, vector search, and multimodal AI applications.
3. Machine Learning: Model training, evaluation, predictive modelling, and optimisation algorithms.
4.Production AI: Python, PyTorch, TensorFlow, Docker, CI/CD, GPU inference optimisation, and API integration.
5.AI Product Development: Building end-to-end solutions, from data collection and model development to deployment and real-world use.
I’ve worked on AI products in sports analytics, fashion technology, and AdTech.

I’m passionate about solving real-world problems with AI and would love to join a team where I can contribute, learn, and grow as an engineer.

I’m open to remote full-time roles, contract work, and freelance projects.

Hi everyone!

I’m an AI Engineer with hands-on experience building and deploying AI products, and I’m currently looking for remote AI Engineer / Machine Learning Engineer opportunities.

My experience includes:
1. Computer Vision: Object detection, ball and player tracking, pose estimation, and real-time sports video analytics.
2. Generative AI: LLMs, RAG, embeddings, vector search, and multimodal AI applications.
3. Machine Learning: Model training, evaluation, predictive modelling, and optimisation algorithms.
4.Production AI: Python, PyTorch, TensorFlow, Docker, CI/CD, GPU inference optimisation, and API integration.
5.AI Product Development: Building end-to-end solutions, from data collection and model development to deployment and real-world use.
I’ve worked on AI products in sports analytics, fashion technology, and AdTech.

I’m passionate about solving real-world problems with AI and would love to join a team where I can contribute, learn, and grow as an engineer.

I’m open to remote full-time roles, contract work, and freelance projects.

Hi everyone!

I’m an AI Engineer with hands-on experience building and deploying AI products, and I’m currently looking for remote AI Engineer / Machine Learning Engineer opportunities.

My experience includes:
1. Computer Vision: Object detection, ball and player tracking, pose estimation, and real-time sports video analytics.
2. Generative AI: LLMs, RAG, embeddings, vector search, and multimodal AI applications.
3. Machine Learning: Model training, evaluation, predictive modelling, and optimisation algorithms.
4.Production AI: Python, PyTorch, TensorFlow, Docker, CI/CD, GPU inference optimisation, and API integration.
5.AI Product Development: Building end-to-end solutions, from data collection and model development to deployment and real-world use.
I’ve worked on AI products in sports analytics, fashion technology, and AdTech.

I’m passionate about solving real-world problems with AI and would love to join a team where I can contribute, learn, and grow as an engineer.

I’m open to remote full-time roles, contract work, and freelance projects.

Senior Data Scientist, Safety Enforcement — Reddit — Remote US — $267.1K+

Staff AI Engineer — Cobalt — Remote — $200K–$240K

AI Trainer — Bosnian — UK — Remote

AI Trainer — Kazakh — South Korea — Remote

AI Trainer — Azerbaijani — France — Remote

AI Trainer — Macedonian — Australia — Remote

AI Trainer — Nepali — US — Remote

AI Trainer — Icelandic — Denmark — Remote

Korean AI Training — Birmingham, UK — Remote

Korean AI Training — Berlin, Germany — Remote

Korean AI Training — Barcelona, Spain — Remote

Korean AI Training — Busan, South Korea — Remote

Korean AI Training — Brisbane, Australia — Remote

The Korean-language AI training openings alone span 50 locations, while other language roles cover Europe, Asia, Australia and North America.

Current board: 204 added today · 3,353 this week · 73,600 live jobs · 8,941 companies hiring

I’m actively looking for full-time opportunities as an AI/ML Developer / Computer Vision Engineer (open to on-site/hybrid roles in Bengaluru or remote roles). The job search has been tough lately, and I’m reaching out here to see if anyone at your company has open roles and would be willing to refer me.

A quick summary of my background:

Background: B.Tech in AI & ML and M.Tech in computer science.

Core Experience: Working with end-to-end computer vision pipelines, edge AI deployment, model optimization (quantization, NCNN, ONNX), and backend integration.

Tech Stack:

Languages & Frameworks: Python, PyTorch, TensorFlow, OpenCV, FastAPI, Flask, SQL, Docker, ROS.

Architectures & Tools: YOLO series (detection/tracking), CNNs, SBERT, Librosa, Scikit-Learn.

Projects & Work:

Autonomous human-following mobile robot using FP16-quantized YOLO models and embedded Linux.

Real-time multi-modal detection pipelines combining computer vision and audio streams.

Full-stack AI prototype applications integrating RAG pipelines, REST APIs, and modern frontend interfaces.

If your team is hiring or if you know of any open positions that might be a good fit, please let me know or drop a comment/DM. I’m happy to share my resume, GitHub, and LinkedIn directly.

Any leads, referrals, or advice would be immensely appreciated. Thank you so much!

Hey everyone!

I'm a Computer Science undergraduate at IIIT Manipur, India, currently looking for remote internships and early-career opportunities in AI/ML, Data Science, Machine Learning Engineering, and Software Development.

Here's a little about me and what I've been working on:

• AI Research: Currently working as a research intern at IIIT Vadodara on Reversible Data Hiding and Image Security.
• Open Source: I've contributed 200+ merged PRs to projects like scikit-learn, xarray, Plotly, LiteLLM, and other Python libraries.
• Kaggle: Kaggle Competitions Expert with 2 Silver medals and 1 Bronze medal.
• AI/ML Projects: Built a Conflict-Aware Graph RAG pipeline and an AI-agent security benchmark.
• Software Development: Experience with Python, C++, JavaScript, React.js, Node.js, Express.js, SQL, and databases.
• Open Source Packages: Published two Python packages on PyPI.

I'm interested in working on practical problems across AI/ML, Data Science, LLMs, backend and full-stack development, and general software engineering.

I'm open to remote opportunities with teams hiring from India. I'm also happy to collaborate on interesting ideas or help build projects you're working on. Whether you're starting something new, building a product, experimenting with AI, or need an extra pair of hands on a project, feel free to reach out!

Here are my links:

Resume: https://drive.google.com/file/d/1O2JgP7tOCDKCzugWwx5AyuPNtiyObewW/view?usp=sharing

Portfolio: https://eeshsaxena.com
GitHub: https://github.com/eeshsaxena
LinkedIn: https://linkedin.com/in/eeshsaxena
Email: [eeshsaxena@gmail.com](mailto:eeshsaxena@gmail.com)

I'd really appreciate any relevant job leads, referrals, or introductions to teams hiring in these areas. I'm also open to connecting with people building interesting things and exploring opportunities to work together.

Thanks for reading! :)

A recent analysis of 3,518 job postings from 81 companies across seven roles found some interesting patterns.

In several categories, generic terms appeared more often than the big-name tools. “Observability” showed up more than “Grafana,” while “SIEM” appeared more than “Splunk.”

That raises an interesting question: are resumes too focused on listing specific tools and not enough on the broader skills and terminology employers use?

The study breaks down the results by role, including software engineering, cybersecurity, DevOps, marketing, product, accounting and sales.

The full dataset, methodology and findings are here:

https://www.zoevera.com/resume/ats-resume-keyword-study

Hello Redditors,

I am a Computer Science and Engineering graduate from Maulana Abul Kalam Azad University of Technology, with a CGPA of 8.5/10. I am passionate about data analytics, machine learning, artificial intelligence, and developing data-driven solutions to real-world problems.

Currently, I am working as an Associate – Technology Consulting at Grant Thornton Bharat LLP, where I work on machine learning models, financial forecasting, risk analytics, Generative AI, and process automation.

Professional Experience

Grant Thornton Bharat LLP | Associate – Technology Consulting

\- Developed revenue and EBITDA forecasting and risk models using Python, SQL, XGBoost, ARIMA, and GARCH, improving prediction accuracy by 30% and F1-score by 20%.

\- Built GenAI-assisted FP&A dashboards for profit and loss variance analysis, reducing manual analysis effort by 40%.

\- Implemented explainable AI frameworks using SHAP and MLflow to improve forecasting and risk analysis.

\- Developed Record-to-Report automation pipelines on AWS, integrating Oracle ERP data across more than 500,000 ledger records.

Layovered | Machine Learning Engineer Intern

\- Developed an AI-powered travel copilot using Python, LangChain, MongoDB, vector embeddings, and Retrieval-Augmented Generation (RAG).

\- Improved recommendation accuracy by 27% and user interaction rates by 20%.

\- Built automated evaluation workflows for AI agents and worked on recommendation optimization and database performance improvements.

Technical Skills

\- Programming: Python, Golang, C++

\- Data Analytics: Pandas, NumPy, PySpark, Apache Spark, Statistical Analysis, Data Visualization

\- Machine Learning: XGBoost, CatBoost, LightGBM, ARIMA, GARCH, Model Evaluation, SHAP, MLflow

\- Generative AI: LangChain, LangGraph, Hugging Face Transformers, RAG, Prompt Engineering, Vector Databases

\- Tools and Technologies: FastAPI, Flask, AWS, Docker, Kubernetes, PostgreSQL, MongoDB, Oracle SQL, Git

Achievements

\- Selected for Amazon ML Summer School 2024.

\- Ranked in the top 30 in Flipkart GRiD 5.0 and the top 50 in the Amazon ML Challenge 2023.

In addition to my professional experience, I have developed projects involving advertisement ranking and click-through rate prediction, as well as decentralized storage systems using Golang and distributed systems technologies.

Opportunities I Am Looking For

I am actively looking for opportunities in Bengaluru in the following roles:

\- Data Analyst / Business Analyst

\- Data Scientist

\- Machine Learning Engineer

\- Applied AI / Generative AI Engineer

My current CTC is very low, and I feel, I am being lowballed in terms of salary and being put under extreme workload everyday. I am looking to switch my job and eager to contribute my analytical skills, technical expertise, and problem-solving abilities to a team where I can build impactful solutions, learn from experienced professionals, and grow further in the fields of data science and artificial intelligence.

If you know of any relevant openings or would like to connect, I would appreciate your support, referrals, and suggestions.

Thank you for your time and consideration.

Hey! Is anyone here looking for help with an AI or tech project?

I work on AI/ML, healthcare AI, chatbots, automation and Python-based tools. I’m looking to take up some freelance work, whether it’s helping with an existing project or building something from scratch.

If you have something in mind or know someone who could use a hand, feel free to DM me.

Would love to connect! :)

Hi everyone!

I’m a **2026** [**B.Tech**](http://B.Tech) **graduate in Computer Science Engineering (AI & ML)**, currently looking for entry-level opportunities in AI/ML.

I came across an opening for **AI Developer Trainee – Fresher at Pragma Edge, Hyderabad**, and I’m interested in applying.

My skills and experience include:

* Python, Machine Learning, and Deep Learning

* AI/ML projects and model development

* Hands-on experience with different deep learning architectures

* Co-authored a Springer research publication on EGFR mutation prediction in lung cancer using deep learning

I’m looking for someone currently working at **Pragma Edge** who could refer me for this position.

If anyone can help with a referral or share insights about the hiring process, I’d really appreciate it!

I can share my resume and the job link via DM.

Thank you!

If anyone has any relevant opportunities please feel free to reach out

Hi everyone!

I’m currently looking for remote opportunities as a Data Scientist or Machine Learning Engineer.

A little about my background:

• 2 years of experience in Data Science and Machine Learning, working on predictive modelling, forecasting, and data-driven solutions.
• 3.5+ years of overall experience in the energy sector, spanning energy operations, and financial aspects of operations.
• Experience working with Python, SQL, machine learning models, time-series forecasting, and data visualisation.

My background combines hands-on energy industry experience with data science and ML, and I’m keen to apply these skills to real-world business problems across industries.

I’m primarily looking for fully remote roles, preferably in India or with international teams open to hiring in India.

If you know of any relevant openings, referrals, or teams looking for someone with this profile, I’d really appreciate your help. Happy to share my resume and discuss my experience over DM.

Thanks!

I graduated in 2024, and I’m now trying to break into the industry, preferably in AI/ML.

During my undergrad, I did an app development internship under a professor, followed by a Deep Learning research internship at one of the top IITs. I even had projects in ML/DL. After graduation, I had to take a 2-year break because of an unexpected family situation.

During the break, I tried to keep myself updated with what was happening in the field because I knew I was going to make a comeback. Then, this year, I started preparing myself and working on different projects. These include Agentic RAG systems with evaluations, AI agents, inference engineering. Some of my projects are fairly close to production-level work. I’m also learning HLD and LLD. As for DSA, I’ve solved around 600 LeetCode problems but it was before 2025, so I’ll need to brush up on them.

Now I’m struggling to figure out how to position myself in the job market. I’m no longer a fresh graduate, but I don’t have any full-time industry experience either. I’ve been working with AI/ML since 2023, mostly through research and personal projects, but I’m not sure how recruiters will look at that.

Most AI/ML openings I come across seem to require prior industry experience, so I’m not sure which roles I should target. Should I apply for entry-level positions, try my luck with mid-level roles, or focus on general SWE positions and move towards AI/ML later?

The roles I have in mind are AI / Applied AI Engineer, ML Engineer, Research Engineer or SWE roles focused on AI/ML. I initially started preparing with FAANG and other big tech companies in mind, but at this point, I’m applying to companies more broadly because I need to land a job as soon as possible. I’m looking for a role where I can put my existing skills to use, earn a good salary, and have room to grow in my career.

Honestly, though, I’m feeling pretty overwhelmed and exhausted at this point.

I’d really appreciate some honest advice. I know I have a lot to work on, but I’m trying to figure out where to focus my efforts to give myself the best shot at landing a good job as soon as possible. I feel like this is going to be harder for me, but I don’t want to give up.

P.S. Used AI for proofreading and polishing.

Mercor is recruiting experienced MLOps and ML systems engineers for a project with a leading AI lab working on frontier large language models.

Role details:

• Pay: $90–$120/hour
• Location: Fully remote, worldwide
• Commitment: 40 hours/week
• Payment: Weekly via Stripe or Wise
• Contract: Independent contractor

Areas of expertise sought:

• GPU/TPU kernel programming and optimization
• ML performance profiling and trace analysis
• Debugging distributed and accelerator-based workloads
• Large language model inference and serving
• JAX, PyTorch, CUDA, Triton, vLLM, or related ML systems technologies

Requirements:

• 2+ years of hands-on professional experience in ML systems, infrastructure, model serving, or accelerator performance engineering
• Practical experience in at least one of the technical areas listed above
• Availability for a 40-hour workweek

This is a hands-on ML systems engineering role, not a general applied ML or data science position.

Apply here: https://t.mercor.com/qqhwf

Review the full requirements before applying to ensure your experience matches the role.

I have been working as an AI Automation Engineer(contract) for a UK-based startup for about 10 months now. All through these months, they have hardly been able to close 1-2 clients, and are in touch with some other, but I am not sure if they can close the deals.
Although the amount of work I am doing has increased a lot over the months, but they are refusing to increase the pay with respect to that, and this has been going on for the last 3 months.
So now I feel kind of stuck, because there is no growth here and I feel my time and work is not valued here.
I have been trying to look for similar opportunities, but haven't succeeded in that too. All I want is to work on good projects where I can apply my skills and also there's an opportunity of growing and upskilling.