I don’t know what to ask for help with anymore. I’ve been referred many times, sometimes even by senior staff ML engineers. They’ve even sent my profile directly to their recruiting teams, but still nothing is working.

Referrals aren’t working. Senior staff reaching out to recruiting teams isn’t working. So what am I supposed to do now?

I honestly have no clue. I’m feeling hopeless at this point. Please help if there’s actually something you can do. I’d be very grateful.

https://preview.redd.it/66x8u2q7qa2h1.png?width=1317&format=png&auto=webp&s=ed00d2c7f8be9e7021b0a2ea3db625106589a128

Hi everyone,

I’m a recent Computer Science graduate from India actively looking for AI/ML Engineer / Applied AI / ML Developer opportunities (remote or on-site).

I have 6+ months of startup experience across 2 remote roles, where I’ve worked on production-grade AI systems, ML pipelines, and full-stack AI products. I currently have a PPO, but I’m exploring opportunities where I can work on challenging AI problems, learn from strong teams, and contribute meaningfully from day one.

What I’ve worked on

AI/ML Engineering

• Built and optimized real-world ML inference pipelines, reducing latency from 5s → 300ms (94% improvement) using batching and async processing on AWS + Databricks
• Worked on training, evaluating, and improving production models, including tuning precision/recall tradeoffs, threshold calibration, and iterative feature engineering
• Improved ensemble model agreement from 30% → 68%
• Built retraining workflows for handling model performance shifts as data changed over time
• Developed a model-drift monitoring pipeline used daily by hundreds of data scientists to track performance degradation and trigger investigation
• Designed LLM guardrails (rule-based + embedding-based), reducing unsafe outputs by 54%
• Worked extensively with RAG pipelines, LangChain, HuggingFace Transformers, DistilBERT, NER, NLP
• Built and deployed FastAPI inference APIs integrated into production microservices

Modeling Fundamentals

• Trained neural networks from scratch using only NumPy to deepen my understanding of backpropagation, optimization, and model internals
• Strong interest in understanding systems beyond libraries—not just using frameworks, but understanding how models actually work underneath

LLM & Evaluation Work

• Worked with medical-focused Small Language Models (SLMs) and benchmarked their outputs against frontier models like ChatGPT, Claude, and Gemini
• Experience evaluating model behavior, response quality, safety, and consistency across different architectures

Cloud / Infrastructure

• AWS (SageMaker, Lambda, S3)
• Databricks
• Docker
• GitHub Actions / CI/CD
• PostgreSQL / Redis
• Linux

Full Stack AI Development

• Built AI SaaS products using React, Next.js, Node.js, FastAPI, tRPC
• Developed scalable backend services and real-time APIs
• Integrated third-party APIs and workflow automation systems

Notable Projects

1. AI Threat Intelligence Platform (Cybersecurity + ML)

• Built an end-to-end threat intelligence platform combining ML + NLP + security automation
• Achieved 96% phishing email classification accuracy using fine-tuned DistilBERT
• Built hybrid IOC extraction pipeline (NER + regex) for malware indicator extraction
• Full-stack deployment with React + FastAPI
• Patent pending on the underlying AI-based threat intelligence and IOC classification system

2. Visual AI Workflow Builder

• Built a drag-and-drop AI workflow platform for designing and executing LLM pipelines
• 30+ integrations
• Real-time execution using LangChain
• Type-safe APIs and multi-user workflow persistence

3. Emotion-Aware Memory Engine (Research / Ongoing)

• Working on an AI architecture with a pending patent focused on an emotion-aware memory engine
• Exploring adaptive local memory, context retention, and persistent personalization for more human-like model behavior across sessions

Tech Stack

Python, JavaScript, C++, PyTorch, Scikit-learn, XGBoost, HuggingFace, LangChain, FastAPI, React, Next.js, Node.js, AWS, Databricks, PostgreSQL, Docker

Achievements

• Runner-up, National CTF (400+ teams) — reverse engineering, web exploitation, and forensics
• Top performer, AWS Cloud Security CTF
• Patent pending on AI-based intelligent systems

Open to:

✅ AI/ML Engineer roles
✅ Applied AI / LLM Engineer roles
✅ Machine Learning Engineer roles
✅ AI startups / research-driven teams
✅ ML + Security / Cyber AI roles

Location: India (Open to remote / international opportunities)

If you think I could be a fit for your team, feel free to DM me — happy to share my resume and chat.

Thanks!

Looking for Senior Software Engineers for AI Evaluation & Benchmarking Work

Seeking experienced engineers with strong Python/software engineering backgrounds for remote AI evaluation and coding benchmark projects.

Ideal candidates should have:
• 4+ years of software engineering experience
• Strong Python proficiency
• Experience working with large codebases/repositories
• Familiarity with data pipelines, testing, debugging, and evaluation workflows
• Experience in high-performance engineering environments is a plus

Work involves:
• Evaluating AI-generated code
• Building/working with coding benchmarks
• Testing reasoning/debugging capabilities of frontier AI systems
• Technical analysis and structured evaluation tasks

Important:
All candidates will be required to pass a technical evaluation/screening test before onboarding. This is not beginner-level work.

Remote contract-based engagement.
DM with:
• Resume/LinkedIn/GitHub
• Years of experience
• Languages/frameworks you work with
• Relevant benchmark/evaluation/LLM experience (if any)

Built and shipped (live in production):
→ RAG scheduling system at intern — 90%+
accuracy, solo intern build
→ LLM agent executing natural language ops commands —
multimodal-compatible
→ Agentic CI/CD via Cursor + GitLab MCP — zero manual
intervention

Stack: Python, FastAPI, LangChain, ChromaDB, AWS

github.com/mukktinaadh | rmnportfolio.vercel.app

Open to AI Engineer, ML Engineer, Backend, Agentic roles.
DM me.

Hey everyone,

Final year CS student (graduating May 2026) actively looking for
full-time AI/ML or SDE roles in Bangalore, Hyderabad, or fully
remote. Minimum take-home expectation: ₹1L/month.

What I've actually built (not side projects — production systems):

→ AI scheduling system at MyOnsiteHealthcare — live in production.
RAG pipeline (LangChain + vector search) over patient and staff
data auto-assigns field healthcare workers with 90%+ accuracy.
Built the entire thing solo as an intern.

→ LLM agent on top of the scheduling system — executes natural
language commands like override assignments, reschedule visits,
update patient data. Multimodal-compatible.

→ Agentic CI/CD system — Cursor AI + GitLab MCP. Give it a
script and a pipeline template, it adapts the pipeline to your
project, pushes, triggers runs, detects failures, rolls back and
retries. Zero manual intervention.

→ Multi-agent research paper evaluator — map-reduce approach for
token limits, LLM-based scoring pipeline.

Stack: Python, FastAPI, LangChain, ChromaDB, PostgreSQL, Redis,
AWS, Docker, Kubernetes

I'm not a typical fresher with tutorial projects. I design and
ship systems that run in production. If your team is building
something in AI and needs someone who can own it end to end —
DM me or drop a comment.

Open to: AI Engineer, ML Engineer, Backend Engineer, AI
Automation Engineer, Agentic Systems roles.

Hey folks,

I'm — a 2026 grad currently working as a Data Scientist at a Bangalore-based AI startup, where I build and ship production AI systems daily.

What I work on day-to-day:

• Multilingual voice AI — STT/TTS pipelines across 7 languages
• LLM systems in production —observability, structured evaluation, multi-model quality checks
• Conversational AI agents — built a voice-based AI interviewer handling outbound calls with edge case handling
• Computer vision — AI proctoring, lip-sync detection, real-time face tracking
• RAG pipelines — vector search chatbot for field engineers (previous role, IoT/energy domain)
• Backend — FastAPI microservices, workflow automation, GCP data pipelines

What I'm looking for:

• AI Engineer / ML Engineer / GenAI-LLM Engineer / Data Scientist
• Full-time preferred, internship-with-conversion also works
• open to relocation or remote

I know the market is tough right now, especially for freshers.

If your team is hiring, or you know someone who is — a referral, a DM, even a lead would mean a lot. Happy to connect and share the resume

Hey everyone,

Fresher CS student (graduated May 2026) actively looking for
full-time AI/ML or SDE roles in Bangalore, Hyderabad, or fully
remote.
What I've actually built (not side projects — production systems):

→ AI scheduling system — live in production.
RAG pipeline (LangChain + vector search) over patient and staff
data auto-assigns field healthcare workers with 90%+ accuracy.
Built the entire thing solo as an intern.

→ LLM agent on top of the scheduling system — executes natural
language commands like override assignments, reschedule visits,
update patient data. Multimodal-compatible.

→ Agentic CI/CD system — Cursor AI + GitLab MCP. Give it a
script and a pipeline template, it adapts the pipeline to your
project, pushes, triggers runs, detects failures, rolls back and
retries. Zero manual intervention.

→ Multi-agent research paper evaluator — map-reduce approach for
token limits, LLM-based scoring pipeline.

Stack: Python, FastAPI, LangChain, ChromaDB, PostgreSQL, Redis,
AWS, Docker, Kubernetes

GitHub: github.com/mukktinaadh
Portfolio: rmnportfolio.vercel.app

I'm not a typical fresher with tutorial projects. I design and
ship systems that run in production. If your team is building
something in AI and needs someone who can own it end to end —
DM me or drop a comment.

Open to: AI Engineer, ML Engineer, Backend Engineer, AI
Automation Engineer, Agentic Systems roles.

​9 years of experience specializing in building and optimizing production-ready data systems.

​Core Expertise

​ML Infrastructure: Productionizing models using AKS, SageMaker, and Docker.

​Modernization: Migrating legacy systems to Palantir Foundry and Databricks.

​Data Governance: Implementing Data Contracts to stabilize downstream pipelines.

​Cost Optimization: Reduced annual cloud spend by $250k for a previous client.

​Technical Stack

​Infrastructure: Terraform, Docker, Azure, AWS.

​Data Engineering: PySpark, Azure Data Factory, Databricks, Palantir Foundry.

​Schedule & Rate

​Rate: $60/hr (USD).

​Hours: 9 AM – 9 PM IST.

​Overlap: Full overlap with EMEA/UK; "Follow-the-sun" support for US teams.

​Contact: Please send a DM or Chat to discuss project requirements.

I'm a 4th sem CSE(AIML) undergrad student. I have got an 8 month internship at a company based in Canada. I have to work on site from their office in my town. I have to work on their project that is focused on developing MCP and ERP for their clients. How relevant are these skills in today's AIML industry?

I seriously don’t understand what happened with the job market.

When we were in 3rd year, companies were mass hiring from literally every field. Everyone kept saying “skills matter more than degree” and it felt like there were opportunities everywhere.

But by the time we graduated and actually needed internships to learn industry-level work, suddenly every company wanted “experienced candidates only.” No internships, no freshers, no proper training.

Then startups expect you to do everything for ₹15k/month.

I joined for ML work because that was my main focus, but ended up handling software work, full stack, DevOps, JavaScript, HTML/CSS, Java, n8n automations, deployment, maintenance, tech support, documentation, drafting, meetings, client discussions, sponsor meetings — basically everything.

On top of that, we had to take interviews, manage teams, and teach juniors things that honestly we ourselves were still learning.

The funniest part? Managers with zero technical understanding acting like experts and trying to explain technology they don’t even understand themselves.

A lot of us spent money on courses and classes hoping to become industry-ready, only to realize many of them were just selling dreams.

Now the worst part is this: after struggling for years, working underpaid jobs, and gaining experience, companies still reject people like us because they only want either “perfect experienced candidates” or very cheap freshers.

Me and my friend left our previous jobs because the pay wasn’t enough for the amount of work we were doing. We thought experience would at least help us move forward. Instead, it feels like we’re stuck in the middle — not treated as freshers anymore, but still not given proper opportunities despite having real work experience.

Is Boeing salary for software engineers usually less ?

Job Title: AI/ML Engineer

Location: Remote

Company: Honovix AI

Salary: $3000-$4000.

Job Description:

• Design and implement scalable data curation and synthetic data generation pipelines that feed post-training workflows for large language models.
• Build and optimize training infrastructure for fine-tuning and post-training runs, including RL-based training loops (RLHF, RLAIF, DPO, and beyond).
• Develop and benchmark specialized models targeting factual grounding, structured reasoning, chart understanding, and other high-value tasks.
• Own inference optimization, latency, throughput, and memory efficiency matter as much as accuracy metrics.
• If you love working on Agentic systems this job is for you.

 

Work Hours

• Should be available to work Eastern Time Zone at the minimum. 
• Remaining work hours are flexible

Important Notes

• Looking for long term collaboration. 
• Ideal for candidates who can commit consistent daily time and are not currently overloaded with other full-time commitments

Goal of the Role
Over time, you will take full ownership of workflows and operate independently. Compensation will grow with your ability to manage and deliver without supervision.

Note:

This is not for someone who is based in the US because obviously this compensation is too low for you.

Nature of Work

• Document processing, OCR, and data extraction
• Building and maintaining Python-based pipelines
• Working with FastAPI, Celery, Redis, Docker
• All work is performed on a remote US-based machine

Work Hours

• Should be available to work Eastern Time Zone at the minimum. 
• Remaining work hours are flexible

Who This Role Is For

• At least 5 years of experience
• Strong self-learners who can work independently
• Candidates looking for long-term growth and ownership

Requirements

• Understanding of APIs and backend concepts (preferred)
• Interest in OCR / document AI
• Strong problem-solving and debugging ability
• Good communication and reliability

Expectations

• During the initial phase, you should be willing to invest additional time to learn the system and ramp up quickly
• Consistent availability during required overlap hours

Compensation

• $3000-$4000 or more if you prove that you are good.

 

Important Notes

• Looking for long term collaboration. 
• Ideal for candidates who can commit consistent daily time and are not currently overloaded with other full-time commitments

Goal of the Role
Over time, you will take full ownership of workflows and operate independently. Compensation will grow with your ability to manage and deliver without supervision.

I am in TCS prime for 1+ months, and I want to run away from this company. They forcefully put me in a 90% support & 10% java dev project and gave me a lil java dev, while i wanted an ai/ml related project. Now, I really want to switch to an ai/ml job. Previously, I had applied to many AI/ML jobs but my resume was never even shortlisted 😞. I got the tcs prime offer and went for it. I do have good knowledge on ML,DL, and I am learning Agentic AI rn. Please guide me on how to switch from TCS to an AI/ML profile.

Hiring: AI industry scout / strategist for fully remote position.

I run a small AI company building proprietary domain-specific models, and I’m looking for someone who is deeply familiar with the AI landscape and can help us navigate it strategically.

This is not a software engineering role, and it’s not generic marketing. You also do not need to have done this exact job before.

I’m specifically looking for someone who already understands things like:

• Which AI benchmarks / leaderboards are hot right now
• How new models get discovered, discussed, and compared
• Which communities, platforms, or evaluators matter
• Where AI researchers, hobbyists, and serious users pay attention
• How companies/models end up getting included in the broader ecosystem

This could be a strong fit for:

• AI hobbyists who closely follow benchmarks and model releases
• People active in Hugging Face / open-source AI
• Researchers or research-adjacent people
• AI power users
• People who naturally keep track of leaderboards, evaluations, and industry conversations
• Strategically minded people who understand how visibility works in AI

What I actually need:

Someone to help identify real opportunities for our models to gain visibility and credibility: benchmarks, evaluators, communities, directories, partnerships, outreach, or anything else relevant.

In other words:

You’d be helping us figure out where we should be, who we should know about, and what moves actually matter.

You do not need formal credentials. You do need strong familiarity with the AI ecosystem and good judgment.

This is ideal for someone who spends a lot of time paying attention to AI and has useful insight into how the space works.

Paid freelance / contract role. Fully remote.

If this sounds like you, DM me with:

• Your background
• How you follow AI
• Why you think you’d be useful

Has anyone recently went through ML Domain Round for Google L5?
Location: BLR, India

Any idea on what to expect? Will it be just theoretical round or coding or design?
P.S.: This is the 1st round in process.

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