AI, ML and data roles I come across and think are worth sharing. LinkedIn posts get deleted and positions get filled, so each one is written out in full here — the archive stays readable even after the original link dies.
22 open · 0 archived · newest Sep 8, 2026
New roles go out on Telegram as I find them —@pjmentoring.
An AI engineering role built on a back-end foundation: the post asks first for architecture, system design and database work, then for hands-on agentic development with retrieval and vector stores. Full-time and remote, Saturday to Thursday, 9:00 to 18:00.
LocationNot specified
ArrangementRemote
Résumés go to the poster on Telegram — there is no email or form.
Back-end engineering fundamentalsSoftware architecture and system designDatabase designClean Code and SOLIDAgentic AI developmentRAGDeep AgentLangGraphVector databases
Speech and language modelling rather than integration work: training and fine-tuning STT, TTS and LLM models, then optimising and quantising them for inference. The post is explicit that it wants architecture-level depth — reading papers, debugging performance — and not someone who runs pre-built models or wires up an API.
LocationMashhad
ArrangementOn-site
The post asks for a résumé plus samples of technical work, but publishes no address — apply through the poster on LinkedIn. A commenter asked whether the role could be remote; the post does not say.
At least 4 years in AI / MLTransformer architecturesPyTorchTraining and fine-tuning STT, TTS and LLM modelsModel optimisation and quantisationPerformance debuggingReading research papers in English
A role about getting LLMs, retrieval and agents into the company's own engineering practice. The post is short and pointed — it wants an engineer who builds things with AI rather than one who chats with it — and keeps the requirements behind the application link.
LocationNot specified
ArrangementNot specified
The post is a call for candidates and referrals; the full description is behind the link.
Building real products on LLMs, retrieval and agents, at a stated $1,500–$2,200 a month. Interviews are held online from Iran, but the role itself requires relocating: the post names Armenia, Azerbaijan or comparable countries.
LocationRelocation required — Armenia, Azerbaijan or similar
ArrangementOn-site after relocation
Relocation is mandatory for the contract, and the post says employment runs through a contractor intermediary rather than direct hire. Read those terms before applying.
PythonLLMs, RAG and agents in productionTransformer-based modelsPrompt engineeringEmbeddings and vector databasesSemantic searchAI agents and assistantsAPI integrationFine-tuning, LoRA, PEFT (preferred)LangChain, LlamaIndex (preferred)MLOps (preferred)Multimodal AI, OCR, computer vision (preferred)Real-time systems (preferred)Model monitoring (preferred)Llama / Mistral / Qwen infrastructure (preferred)
Agentic systems on a Python and FastAPI microservice stack — tool calling, multi-agent workflows and retrieval over a vector store. The post asks specifically for hands-on experience building agentic AI and LLM architectures, not adjacent ML work. Full-time and remote.
LocationNot specified
ArrangementRemote
Résumés go by direct message to the poster on LinkedIn.
PythonFastAPIREST APIsLangChainLangGraphRAGMilvus and other vector databasesSQL and NoSQLMCPMicroservice architectureLLM and AI agent developmentTool calling and multi-agent workflows
Turning LLM work into a product instead of a demo: agent architecture, context management, retrieval, evaluation, and the trade-offs between quality, cost, latency and scalability. The post says plainly that connecting an LLM API is not the job. Fully remote.
LocationNot specified
ArrangementRemote
PythonSystem architectureRAGAgent architectureContext managementVector databasesDeploying AI systemsModel evaluationQuality, cost, latency and scalability trade-offsFine-tuning (bonus)Hugging Face (bonus)vLLM (bonus)MCP (bonus)Multi-agent systems (bonus)GPU optimisation (bonus)LLM security (bonus)
Designing and maintaining scalable batch and streaming data pipelines that feed analytics and operational products on a travel platform, working across a modern lakehouse setup with the product and backend teams.
LocationNot specified
ArrangementNot specified
Python (required)Scala (preferred)Java or Go (a plus)SQLdbtApache SparkTrinoKafka, Kafka Connect, DebeziumETL / ELTPostgreSQLApache Iceberg / Delta LakeAirflowKubernetes, Docker, LinuxGrafana, ZabbixData modelling & distributed systems
Analysing large volumes of financial and credit data to find patterns, then presenting them through reports and dashboards to support risk analysis, credit decisions and data-driven product work. At least three years in data analysis is required.
Analysing player behaviour to drive mobile-game growth — KPIs, A/B tests, and retention, monetisation and LiveOps optimisation, working with product, game design and engineering.
Collecting and analysing HR data to support management decisions — designing KPIs, building reports in Excel and Power BI, and improving the HR information system.
LocationTehran
ArrangementNot specified
The post gives no email, form or link. Nothing in it says how to apply.
2+ years in data analysis, HRIS or HR analyticsDegree in industrial engineering, statistics, management or computer engineeringAdvanced ExcelPower BISQL and reporting tools (preferred)KPI designManagement reportingHRIS concepts
Designing, building and maintaining ETL pipelines that pull data out of banking sources — batch and near-real-time ingestion, cleaning and normalisation, feature engineering, and the monitoring that keeps the jobs honest. Works closely with the modelling and analytics teams.
Designing and building management dashboards on Power BI Report Server for large national holdings and corporations. Full-time under labour law, on-site at various Tehran locations depending on the project.
LocationTehran
ArrangementOn-site
Applications go to a personal Telegram account (@MohammadRezaVafaeie), and the post asks for your expected salary plus a lot of personal detail up front — age, marital status, children, address. Worth knowing before you send it.
3–6 years relevant experiencePower BI Report ServerDAXData visualisation & dashboard designETL in Power QueryDAX Query EditorSSAS Tabular (familiarity)
Day-to-day ownership of pricing and monetisation analytics, supporting the rest of the team against unit objectives. The post itself lists no requirements — they are behind the application link.
LocationNot specified
ArrangementNot specified
The post gives the role only in outline. Requirements are on the linked page.
Supporting AI and machine learning courses — setting and marking exercises, running problem-solving sessions, and mentoring students. Roughly 25–30 hours a month per student group.
Mofid Securities is building an AI financial intelligence platform that lets investors and analysts query complex financial data in natural language. The role is designing and shipping production AI systems against real financial problems — the closest thing on this board to the work this course covers.
Design, build and maintain ETL pipelines across batch and near-real-time ingestion; cleanse, validate and standardize data across staging and processed layers; implement analytical features in SQL and data-quality checks; document pipelines and monitor jobs.
SnappShop is hiring a commercial data analyst. The post is an invitation rather than a specification — no requirements, location or arrangement appear in it.
Designing, developing and shipping AI-powered capabilities in real products. The post explicitly weights genuine interest in learning, accountability and problem-solving above extensive prior experience.
LocationTehran
ArrangementHybrid, full-time
Resumes by LinkedIn DM to Farshad Sangari; a commenter asked for an email and none was given.
Owning the whole data path for the Data and AI team — collection and processing through to feeding models and deploying to production — building scalable pipelines optimized for accuracy, latency and cost.
SnapMarket's data engineering team is hiring a data engineer to work on large-scale data infrastructure. No skills or requirements appear in the post body — the detail is behind the application link.
A junior data analyst opening — one of the few on the board aimed at people early in their career. The post gives no requirements; they are behind the link.
These are roles posted publicly by other companies. I am not the employer, I am not a recruiter, and I have no involvement in their hiring — apply through the original post. Details are transcribed from each post as written and may have changed since. Where a post left something out, it says "Not specified" rather than a guess.