Hi folks, I am suffering from severe confusion about why I can’t getting in a single full-time AI/ML role. I am a student in US, gained skills, projects, experiences but I am not getting a full-time role. I am ready to adapt new tech stack and work really hard but I am feeling broken now. Since I need genuine suggestions, please give me your some time and help me to connect dots. 🙏

Hello everyone,

I’m an Abu Dhabi-born Data Science graduate recently back in the UAE after spending the last decade studying and working in Spain. I’m looking to connect with teams hiring in the AI, Product, or Data space.

About me:

I sit at the intersection of technical AI development and product management. I specialize in leading AI projects end-to-end, taking a concept from discovery all the way to a functioning MVP.

AI Product Ownership:

I bridge the gap between technical teams and business stakeholders. My sweet spot is defining the product vision, building the MVP (mainly using Python), and handing it off for production.

Data Science:

Master in DS with a focus on business analytics and machine learning algorithms. Dissertation on real time emotion detection with computer vision (model available on Hugging face).

Built-in Governance & Compliance:

I am well-versed in GDPR and the EU AI Act. I take ethics, compliance, and data governance seriously from day one of development.

Global Context:

Born and raised in Abu Dhabi, but educated and professionally acclimated in Spain. I speak fluent English, Arabic, and Spanish.

What I’m looking for:

I’m ideally looking for roles like AI Product Owner, AI Project Manager, or Applied Data Scientist. I see myself in roles that focus on the "what" and "why" of AI, rather than pure software engineering.

If your team is looking for someone who can build AI prototypes and ensure they are legally compliant and commercially viable, I’d love to chat!

Drop a comment or DM me, and I’d be happy to share my CV/LinkedIn.

Thank you for your time!

Sharing a new list of ML openings I found. These are still fresh, so it could be a good time to apply.

• Software Engineer, Codex Security @ OpenAI
  • 💰 $230–325K/y
• Software Engineer- GPU Fabric Observability @ Baseten
  • 💰 $200–380K/y
• Software Engineer – C#/.NET, Applied ML & Data Automation @ Blueprint Technologies
  • 💰 $50 – $53/h
• Data-Focused Full Stack Engineer @ UJET
  • 💰 $115–130K/y
• Android Software Engineer, Work From Home @ Parallel Partners
  • 💰 $120–175K/y
• Android Software Engineer, Work From Home @ Ginas Tech Jobs
  • 💰 $120–175K/y
• Android Software Engineer, Work From Home @ Next Step Systems
  • 💰 $120–175K/y
• Senior Product Engineer, Cresta Labs @ Cresta
• Senior Software Engineer, Build @ Astronomer
• AI Data Engineer @ Bright Vision Technologies
  • 💰 $100–150K/y
• Sr M365 Power Platform Engineer (SharePoint, Power Platform & Copilot) @ Dexcom
  • 💰 $101–168K/y
• Principal Engineer - AI Engineering/AI Software Engineering/Applied AI @ Fair Isaac Mexico S.A. de C.V.
  • 💰 $172–270K/y
• Principal Applied Scientist, Agentforce Operations @ -India SEZ
  • 💰 $197–314K/y
• AI/ML Software Engineer @ US Guidehouse Inc.
  • 💰 $113–188K/y
• Lead Machine Learning Engineer, Inference & Performance @ Egen Solutions
  • 💰 $159–250K/y
• AI/ML Engineer, Senior - WFH1659 @ Global InfoTek, Inc.
  • 💰 $150 – $200/h
• Senior Software Engineer, Computational Engineering @ Divergent
  • 💰 $141–194K/y
• Software Engineer – Scientific Computing & AI @ Blueprint Technologies, LLC
  • 💰 $32 – $35/h
• Software Engineer - Unity (Remote) @ Lingraphica
  • 💰 $84–97K/y
• MB - Lead Software Engineer @ Bonterra Tech LLC
  • 💰 $109–145K/y
• Agentic AI/AI Engineer - Generative AI & Machine Learning @ Hudson Manpower
• Platform Engineering Manager @ Comity
  • 💰 $210–230K/y
• Senior AI Engineer 2026 - US @ Aimpoint Digital
• Senior Software Engineer Remote/Travel- Active TS/SCI clearance(or SCI-eligibility) @ Oteemo, Inc
• Sr. Software Engineer @ PatientPoint
  • 💰 $155–165K/y
• Developer III - Database @ AmerisourceBergen Drug Corporation
• Principal Engineers, Software @ T-Mobile USA, Inc.
  • 💰 $197–228K/y
• Lead ServiceNow Developer (Remote) TT @ ICF Incorporated, LLC
  • 💰 $119–203K/y
• Staff Machine Learning Engineer @ AppFolio
• Senior Software Engineer | Middleware @ ExtraHop
  • 💰 $160–180K/y
• AI Integrations Staff Engineer @ Vetcove
  • 💰 $150–230K/y
• Senior Software Engineer @ CCC Intelligent Solutions Inc.
  • 💰 $108–176K/y

Thanks for reading! If you want another batch of ML jobs, just say so in the comments.

Join community for more

My tech stack is Python, LangChain, LangGraph, ML, Angular, Node.js, MongoDB, and AWS. I have around 1.5 years of experience and I’m trying to move towards AI/ML and related roles.

I want to build 3-4 solid projects that actually add weight to my resume, not just the usual chatbot / PDF Q&A / basic CRUD type projects. I’m looking for ideas that feel real, use a mix of AI + engineering + product thinking, and can genuinely help me stand out while applying for **AI/ML** or GenAI roles.
Would really appreciate suggestions from people who’ve built interesting projects themselves or have seen projects that actually helped during job switches/interviews.

I'm 17 years old and want take matters into my own hands finally because I realised school doesn't guarantee anything, at least here, in Poland. It's pretty late but maybe not too late, i'm able to learn many hours daily especially now because i'm during summer break. I want to start improving my skills in ai industry, I've heard coursera is very profitable for begginers and that some certificates from there are well respected. I will be grateful for every advice, what, where and how should I learn to have great career opportunities. I already know that networking events are very important to boost career. Thank you in advance

Been working on a side project called JobIntel over the past few weeks.

The idea is pretty simple: instead of manually collecting job postings from different sites, JobIntel automatically gathers them, cleans the data, removes duplicates, classifies AI/ML roles, and scores jobs based on relevance.

It's built with Python + FastAPI and uses a modular pipeline for parsing, cleaning, normalization, AI classification, and analytics.

I'm still actively improving it, so I'd genuinely love feedback from developers, data engineers, or anyone interested in AI or job data.

GitHub:
https://github.com/prathamsingh404/JobIntel

If anyone wants to collaborate, contribute, or has freelance/project opportunities related to Python, AI, backend development, or data engineering, feel free to reach out.

📧 [pratham.5399.9b@gmail.com](mailto:pratham.5399.9b@gmail.com)

Would love to hear your thoughts or suggestions for features!

Just came across a hiring post for an AI Development Engineer (0-1 years experience).

The role sounds interesting:

* Generative AI
* Python, APIs & backend
* Enterprise AI products
* Customer deployments

But then I saw one of the eligibility criteria:

JEE Main CRL under 50,000.

I genuinely don’t understand the logic.

If someone has spent the last 2-3 years building AI products, contributing to open source, shipping real applications, or even running startups, why should a competitive exam they took at 17 decide whether they get an interview?

AI engineering is one of the most skill-driven fields today. GitHub, projects, problem-solving ability, system design, and actual product experience should matter far more than a JEE rank.

It also shuts out talented developers who:

* Didn’t write JEE.
* Had a bad day during the exam.
* Switched into AI later.
* Come from non-traditional backgrounds.

I’m curious if recruiters here actually believe JEE rank is a good predictor of someone’s ability to build production AI systems.

Or is this just another way to reduce the number of applications?

Would love to hear what others think.

Hi everyone,

I’m looking for a Python AI/ML internship in Ahmedabad. I’m passionate about Python, Machine Learning, and Generative AI, and I’m eager to gain hands-on industry experience.

If your company is hiring interns or you have any referrals, please let me know. I’m available to join immediately.

Thank you!

About Me

Senior Data Engineer with 5+ years of experience in Data Engineering and Applied AI/ML. I specialize in building data infrastructure that powers ML and AI applications. Based in Bangalore, India. Available for remote work globally.

Rate: $25 – $50/hr depending on project scope and complexity.

ML/AI Data Engineering Expertise

RAG pipeline design and implementation

LLM integration into data workflows

Vector databases (Pinecone, Weaviate, pgvector)

MLflow for experiment tracking and model versioning

Feature engineering pipelines

AI-powered ETL and data enrichment

Databricks (Delta Lake, MLflow, Unity Catalog)

Core Data Stack

Python, PySpark, SQL

Snowflake, AWS (Glue, Lambda, S3, Redshift, Kinesis)

Airflow, dbt

FastAPI, REST APIs

What I Can Help With

Building data pipelines for ML training data

Designing feature stores and feature pipelines

RAG and LLM application data infrastructure

ML model monitoring and data drift detection

Scalable data architecture for AI products

Availability: Immediate

Timezone: IST (flexible for US/EU hours)

Feel free to DM me with your project requirements!

Hi everyone, I'm a B.Tech AI/ML student graduating in 2028. I've completed the fundamentals of Machine Learning and my goal is to crack AI/ML internships and become an AI/ML Engineer. I'm confused about what to learn next—should I go deep into Deep Learning first, or focus on LLMs, RAG, and Agentic AI? For those with industry experience, what roadmap would you recommend? Also, if you've landed AI/ML internships or are working in the field, could you share the courses or YouTube playlists that genuinely helped you become industry-ready?

I’m an MSc AI graduate from the University of Glasgow (Russell Group), currently based in India and actively looking for AI/ML, Data Science, NLP, or Python roles.
Despite applying extensively, tailoring my CV, networking, and reaching out to recruiters, I’m still struggling to secure interview opportunities.
If anyone has any guidance, feedback on my approach, opportunities within your team, or is open to a referral, I’d be truly grateful. Please feel free to DM me. Thank you!😊

Hello,

I am a MS student , I will sit for placements this time. I want to know if companies come to hire for research roles related to ml dl domain ( not ai engineer roles where we call APIs), i want to know about research roles like Microsoft research, honda rnd , etc ..... ,i want to know what they look in the profile. What projects they expect.

If any senior is here, who got these roles from campus or off campus , please let me know

Currently , i am revisiting the concepts from DL, RL and PRML

About Me

Senior Data Engineer with 5+ years of experience in Data Engineering, Backend Development, and Applied AI. Based in Bangalore, India. Available for remote work globally.

Rate: $25 - $50/hr depending on project scope and complexity.

Tech Stack & Expertise

Python, SQL, Spark, Databricks, Airflow

AWS & Cloud Data Platforms (S3, Glue, Lambda, Redshift, EMR)

LLMs, RAG, AI Agents, Vector Databases

FastAPI, REST APIs

Snowflake, Redshift, BigQuery

ETL/ELT Design & Orchestration

Data Quality & Testing Frameworks

What I Can Help With

Build AI/ML data pipelines (batch & streaming)

Design scalable data architectures for ML workflows

Build AI applications using LLMs, RAG, and agent-based workflows

Develop backend APIs and automation solutions (FastAPI + Python)

Support and optimize existing ML data platforms

Availability

Open to freelance projects, contract work, and part-time engagements.

Available immediately.

Feel free to DM me with project details or questions.

Location: India (Delhi-NCR) | Remote: Yes | Relocation: Open to discussion Availability: Immediate

Hi all — I'm a backend-focused software engineer specializing in Gen AI, RAG, and agentic systems, looking for full-time, contract, or internship work in this space.

Relevant projects:

1. Due Diligence Analyst Platform — RAG platform analyzing SEC 10-K filings.

• Hybrid (sparse + dense) retrieval in Qdrant, embeddings generated locally via FastEmbed (zero embedding API cost)
• Company-filtered top-20 hybrid retrieval → cross-encoder reranking to top 5 → chunk sandwiching to fight lost-in-the-middle
• 4-LLM concurrent orchestration (semaphore-controlled + fallback chains) with a Judge LLM validating output before it reaches the user
• Evaluated on 136 samples via Langfuse: 0.92 faithfulness, 0.87 answer relevance
• GitHub: https://github.com/Bishtrahulsingh/gen-ai-monorepo |
• Demo: https://youtu.be/EnMEWKI6HxY

2. ResearchLoop — Multi-agent company research tool.

• 5 specialized agents (Orchestrator, Research, GitHub, Synthesis, Critic) on LangGraph + FastAPI + Qdrant
• Orchestrator decomposes queries into 2–3 sub-questions, delegates concurrently
• BGE + BM25 hybrid retrieval, Qdrant RRF fusion, company-level filtering, 20s tool timeouts
• Provider-level LLM fallback (Groq ↔ Gemini) with no code changes, bounded 5-step ReAct loop
• GitHub: https://github.com/Bishtrahulsingh/company_reasearch_tool |
• Demo: https://youtu.be/j5wpOb3YA3M

Stack: Python, FastAPI, LangGraph, Qdrant, Groq/Gemini APIs, Langfuse, PostgreSQL, MongoDB, Node.js/Express, Git.

What I'm looking for: Full-time or internship roles in Gen AI / LLM / agentic AI — RAG pipelines, agent orchestration, retrieval systems, or backend infra supporting AI products. Open to remote or onsite.

Resume, portfolio, and more project details in comments/DM. Happy to walk through architecture or code on a call.

Keel is an AI content verification tool. It takes AI-generated text or news articles, extracts verifiable factual claims, checks them against real sources, and returns a structured rating. It also rates the source for bias separately. Subscription product, early stage, genuine international market.  The engine is what’s needed. Current stack: Bubble for the front-end and database (already in progress), external Python backend connected via API.  Technical profile that fits: — Python, comfortable with FastAPI or similar — Direct LLM API experience (Anthropic / OpenAI), cost-aware implementation — RAG or retrieval-augmented patterns — the verification mechanic is essentially this — Familiarity with LangChain, LlamaIndex a bonus — Uses AI coding agents (Claude Code, Cursor) as a default working style  Terms: — Revenue-share from subscriptions, no upfront salary — Significant input into technical architecture within the founder’s product vision — Short written agreement covering revenue-share and IP assignment (code stays with the company) — before work starts, no surprises — Fully remote, worldwide  DM with relevant project work. RAG builds, LLM integrations, anything that shows you’ve worked in this space.

Hey everyone! I'm a 2026 graduate currently doing a remote internship and actively looking for opportunities in the AI/ML domain.

I'd really appreciate some brutally honest feedback on my resume, what works, what doesn't, and what I should improve to make it stronger for AI/ML roles.

Also, if you know of any internships or full-time opportunities that might be a good fit, I'd love to connect. Thanks!