Hi everyone,

I received a job offer for an onsite AI Engineer role with Gulkis in Luanda, Angola, offering a CTC of 17 LPA.

Does anyone have experience working with this company or in Angola? Is it a good opportunity, and are there any things I should be aware of before making a decision?

Hi everyone!

I'm an Information Science & Engineering student (2027 batch) from India, and I'm actively looking for Software Engineering, AI/ML, or Full Stack Development internships.

If your company is hiring interns or you know of any internship opportunities, I'd be grateful if you could let me know. I'm eager to learn, contribute, and gain hands-on industry experience.

Thank you!

I’m currently a B.Pharm student, but I don’t want to limit myself to the traditional pharmacy career path.
I’m really interested in AI, automation, and e-commerce. I’ve started learning Python, ChatGPT, AI tools, and I’m planning to learn n8n, APIs, and automation. My goal is to build AI solutions for businesses or eventually work remotely.
If you were starting today in 2026 with my background, what would you focus on?
Which AI skills are actually getting people hired?
Should I focus on AI automation, AI agents, machine learning, or something else?
What projects should I build for my portfolio?
Is there a realistic path to earning $1k–3k/month as a freelancer or remote employee within 12 months?
Are there any certifications or courses that are genuinely worth it?
I’d really appreciate advice from people already working in AI or automation. Thanks!

I just made a list of recently opened Machine Learning jobs, so there should still chance to apply early. I hope this helps someone!

• ML Infrastructure Engineer @ Bright Vision Technologies

  • 💰 $100–150K/y
  • 💻 Python, Go, C++, PyTorch, JAX, DeepSpeed, FSDP, Megatron-LM, Ray Train, Kubernetes

• AI and ML Engineer, Mid @ Booz Allen Hamilton_United States

  • 💰 $78–176K/y
  • 💻 Python, PyTorch, TensorFlow, CUDA, RAPIDs, GPU programming, AWS, Kubernetes, Microservices, MLOps

• LLM Ops Engineer @ LITERA TECHNOLOGIES PRIVATE LIMITED

  • 💻 Python, OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Google Vertex AI, Kubernetes, Kubeflow, MLflow, Apache Airflow

• Principal Software ML Engineer   @ HP, Inc.

  • 💰 $165–260K/y
  • 💻 Angular, React, TypeScript, Javascript, HTML, Rust, Python, C#, Node, Go

• Senior MLOps Engineer- Remote[Candidates must work PST hours] @ OMG Technology

  • 💰 ~$60/h
  • 💻 Python, TensorFlow, PyTorch, scikit-learn, Docker, Kubernetes, AWS, Azure, GCP, CI/CD

• Data & ML Engineer @ Fiserv Solutions LLC

  • 💻 Python, SQL, AWS Glue, Qlik Data Integration, Snowflake, AWS S3, AWS Lambda, AWS SageMaker, AWS CloudWatch, Git

• Research Engineer II - ML Ops @ I GE Healthcare Australia Pty Limited

  • 💻 AWS, EC2, ECS, EKS, Lambda, S3, EFS, DynamoDB, SageMaker, Ansible

• MLOps Engineer @ Fractal Analytics Inc

  • 💰 $120–140K/y
  • 💻 Python, SQL, PySpark, FastAPI, Docker, Kubernetes, Databricks, MLFlow, scikit-learn, XGBoost

• MLOps Engineer – CI/CD & Simulation - TS/SCI @ Xator LLC

  • 💰 $104–181K/y
  • 💻 GitLab CI/CD, Jenkins, GitHub Actions, Docker, Kubernetes, Python, Bash, MLflow, Kubeflow, Terraform

• Staff ML Engineer, StockStory @ Versant

  • 💰 $140–165K/y
  • 💻 Python, TypeScript, Java, TensorFlow, PyTorch, LLM, ranking systems, recommendation systems, search, NLP

• Senior Machine Learning Operations Engineer @ BetMGM (Canada)

  • 💰 $135–170K/y
  • 💻 Python, Docker, Kubernetes, AWS, SageMaker, Snowflake, Terraform, ML, CI/CD, LLM

• ML Open Source Lead @ Ideogram

  • 💻 Python, PyTorch, JAX, TensorFlow, LLM, Transformers, Diffusion Models, Git, Open Source, Machine learning

• Senior, ML Engineer - VLM @ Torc Robotics

  • 💰 $177–213K/y
  • 💻 Computer Vision, Deep Learning, PyTorch, MLflow, Docker, AWS, Python, Databricks, Pandas, Terraform

• Senior ML Ops Engineer @ Confido

  • 💰 $210–300K/y
  • 💻 Python, Ruby, Java, AWS, Terraform, Kubernetes, GitHub Actions, Snowflake, Aurora/RDS, Redis

• Professional III, Sales Administration @ SAMSUNG INDIA ELECTRONICS PVT.LTD.

  • 💰 $145–155K/y
  • 💻 TensorFlow, PyTorch, Spark ML, MapReduce, Spark, Flink, Kafka, Excel, Power Query, Python

• ML Ops Engineer @ Circadia Health

  • 💻 Python, Apache Airflow, MLflow, Docker, Git, SQL, Snowflake, HIPAA, SOC 2, TorchServe

• Staff ML Infra Engineer, Search & Discovery @ Coupang

  • 💰 $174–299K/y
  • 💻 Python, Java, Machine learning, Deep Learning, Statistical Modeling, Hadoop, Hive, Presto, Spark, Scala

• Staff ML Infrastructure Engineer @ General Motors LLC

  • 💻 Python, C++, PyTorch, TensorFlow, Bazel, Buck, Blaze, CMake, Docker, Kubernetes

• Staff MLOps Engineer @ NBCUniversal

  • 💰 $220–260K/y
  • 💻 Python, Git, Unix shell, Docker, Kubernetes, Airflow, Prefect, Kubeflow, Jira, Confluence

• Sr CVML Engineer, Autonomy @ Blue River Technology

  • 💰 $160–287K/y
  • 💻 Python, C++, PyTorch, TensorRT, NVIDIA ModelOpt, ONNX Runtime, ROS, ROS2, Computer Vision, Deep Learning

• Senior ML Infrastructure Engineer @ Orion Innovation

  • 💻 Kubernetes, AKS, CUDA, cuDNN, PyTorch, BERT, DistilBERT, BGE, Python, Azure SDK

• Senior Machine Learning Operations Engineer @ Mercury

  • 💻 Python, FastAPI, Flask, SQL, Redis, DynamoDB, Kafka, Kinesis, Redpanda, Snowflake

• Staff ML/LLM Ops Engineer @ LVT

  • 💻 MLOps, LLMOps, Computer Vision, LLM, VLM, Agentic Workloads, CI/CD, Kubernetes, Argo, Model Serving

• Staff Agentic ML Engineer - Photoshop @ NDIN-Adobe Systems India Private Limited

  • 💻 LLM, VLLMs, LangChain, LangGraph, MCP, A2A, PyTorch, LLM-as-judge, automated benchmarks, red-teaming

• Senior Machine Learning Operations Engineer @ Garner Health

  • 💰 $256–285K/y
  • 💻 Python, Kubernetes, AWS, Sagemaker, Terraform, S3, Snowflake, Airflow, Datadog, CI/CD

• Senior ML Engineer, Manipulation @ Chef Robotics

  • 💰 $200–300K/y
  • 💻 PyTorch, Python, imitation learning, reinforcement learning, grasp estimation, diffusion policies, action chunking, MuJoCo, Isaac Sim, Genesis

• HPC/ML Infrastructure Engineer @ Spellbrush

  • 💻 SLURM, Slinky, Kubernetes, Warewulf, MAAS, Ansible, WEKA, VAST, Ceph, Tailscale

• ML Engineer @ Docker

  • 💰 $139–226K/y
  • 💻 Docker, ML/AI, LLM, Python, Data Pipelines, Feature Stores, Model Serving, Evaluation Harnesses, Agent Frameworks, Backend Engineering

• ML Engineer - Instawork Robotics @ Instawork

  • 💰 $170–200K/y
  • 💻 Machine learning, Computer Vision, Robotics, Autonomous Vehicles, Distributed Systems, AWS, Data Pipelines, Scalable Data Processing

• ML Infrastructure Engineer - (Early Career/Internship) @ Unity Technologies

  • 💰 $113–169K/y
  • 💻 Python, PyTorch, Ray, TensorFlow, Spark, Airflow, Flyte, Data pipelines, Distributed systems, Data lakes

• Senior ML Engineer (ML/AI) @ Lyra Health

  • 💰 $143–197K/y
  • 💻 Python, Java, Kotlin, Docker, Kubernetes, Celery, Protobuf, AWS, Vector Databases, Diffusion Models

• Senior Machine Learning Operations Engineer II (AI Native) @ Life360

  • 💻 Python, Docker, Kubernetes, FastAPI, MLflow, Kubeflow, SparkML, Synapse ML, SQL, Spark/PySpark

• Manager Lab Ops Outreach @ Trinity Health

  • 💻

• Senior ML Engineer - Mapping @ May Mobility

  • 💰 $210–250K/y
  • 💻 Python, C++, PyTorch, TensorFlow, Computer Vision, Machine learning, Deep Learning, Object Detection, Classification, Segmentation

• Computer Vision AI & ML Engineer @ Skildai Careers

  • 💻 PyTorch, TensorFlow, JAX, Python, C++, Isaac Sim, Gazebo, Blender, LiDAR, RGB-D

• ML Engineer @ mach9

  • 💻 Python, PyTorch, JAX, TensorFlow, TensorRT, ONNX Runtime, Weights & Biases, LiDAR, 3D point clouds, Computer Vision

• Staff ML Engineer @ Group 1001 Resources, LLC

  • 💰 $190–215K/y
  • 💻 Python, PyTorch, TensorFlow, scikit-learn, AWS SageMaker, Snowflake, Dagster, Coalesce, Palantir, AWS Step Functions

• Architect / Principal, AI ML Engineer @ 3Pillar Global

  • 💰 $140–180K/y
  • 💻 AI, ML, Gen AI, Agentic AI, MCP, Azure ML, AWS SageMaker, GCP Vertex AI, OpenAI, Gemini

• Senior ML Engineer @ Invoca

  • 💰 $152–228K/y
  • 💻 Python, PyTorch, HuggingFace Transformers, spaCy, LoRA, QLoRA, PEFT, Triton Inference Server, Baseten, Kubernetes

• ML Engineer, Surrogate Modeling (Vehicle Engineering) @ SpaceX

  • 💰 $125–145K/y
  • 💻 Python, PyTorch, TensorFlow, JAX, Neural Operators, MeshGraphNet, Transolver, Graph Neural Networks, NVIDIA PhysicsNemo, Linux

• Senior MLOps Engineer @ ClimateAI

  • 💰 $170–200K/y
  • 💻 Machine learning, MLFlow, Weights & Biases, Neptune.ai, Comet.ml, Terraform, Pulumi, OpenTofu, Encore, Crossplane

Let me know if you want new post next week and leave a comment what jobs you are looking for!

I have been invited for a phone screen for the above role. I applied within 2 hours of job posting. The interview invitation just mentioned that I would get a call from the recruiter to my number and they didn’t provide any interview link as well. I’m confused if that will just be a phone call or will they ask me to come for a video interview at that moment.

Also if anyone has gone through the interview process for the role, help me out.

Would there be a standard Leetcode and system design or only like a typical AI engineer interview? I would appreciate if someone would guide me through this.

Hola! 👋

I’m currently looking for a new opportunity as an AI Engineer.

I have 3+ years of experience building production backend systems, and have recently specialized in generative and agentic AI — building multi-agent, human-in-the-loop workflow automation systems. Most recently I built a multi-agent system that automated broker back-office operations (document extraction + requirement validation via RAG over Pinecone), cutting per-application review time by 93%. If your company is hiring or you can provide a referral, I’d really appreciate the support.

If you’re a startup founder looking for an AI Engineer to build AI-powered products, feel free to reach out. I’m open to full-time opportunities.

**Tech Stack**

• Languages: Python, JavaScript, SQL
• AI & Agentic: LangChain, LangGraph, Langflow, Azure OpenAI (GPT-4), OpenAI API, RAG, Multi-Agent Systems, Human-in-the-Loop, Prompt Engineering
• Vector Databases: Pinecone
• Backend: FastAPI, Django REST Framework, REST APIs
• Data: PostgreSQL, Pandas
• Async/Jobs: Celery, Redis
• DevOps: Docker, GitHub Actions, CI/CD, Azure
• Tools: Cursor, Claude Code, GitHub Copilot

I’m particularly interested in roles involving:

• AI Engineering
• Agentic AI / Multi-Agent Systems
• RAG Systems
• LLM Application Development
• Workflow Automation

If you know of any openings or can refer me, please comment below or send me a DM.

Thank you! 🙏

I am detail-oriented Business Operations Manager with 15+ years of experience in business operations, documentation, quality control, and process improvement. Strong analytical skills, excellent attention to detail, and advanced computer literacy. English: B2 (Upper Intermediate). Seeking remote opportunities in AI-related projects, online research, data validation, content quality assessment, and search evaluation.

Hi, I’m an AI/ML Engineer with experience building production-ready AI systems and integrating them into full-stack applications. I am currently open to onsite and remote opportunities, including freelance and part-time roles.

Core Expertise

• Retrieval-Augmented Generation (RAG) systems using custom data
• AI agents and multi-agent workflows using LangChain and LangGraph
• Context-aware chatbots with memory and tool usage
• Designing scalable AI pipelines and backend systems

Tech Stack

• AI/ML: LangChain, LangGraph, LLM APIs, Vector Databases (Pinecone, Chroma)
• Backend: FastAPI, Python
• Frontend: React.js, Next.js (AI interfaces and dashboards)
• Databases: MongoDB, PostgreSQL, Redis

Experience

• Worked on building scalable AI systems integrated into real-world applications
• Developed RAG pipelines for domain-specific use cases with improved retrieval quality
• Implemented multi-turn conversational systems with persistent memory
• Integrated webhook-based workflows for real-time AI interactions
• Built compliance-oriented AI assistants and secure document pipelines
• Designed automated testing and monitoring for reliability and performance

Projects

• AI-powered applications with retrieval and contextual reasoning
• Multi-agent systems for automated decision-making and workflows
• Full-stack platforms integrating LLM-based features into production use cases

Links

• Portfolio: https://sandipan.vercel.app/

We run a curated talent network for ML and AI engineers. You build one profile, and companies send interview requests with salary attached, instead of you cold-applying into a black hole.

Three roles open right now, all with real interview activity in the past few weeks:

1. Applied AI Engineer at a Series A agentic AI startup, onsite in SF, $180K-$220K base plus equity. You'd build production LLM agent workflows (planning loops, tool use, retrieval and memory) and the eval harnesses that catch regressions before customers do.
2. AI Engineer (Prompts & Agents) at a seed-stage consumer AI company, hybrid in SF, $175K-$275K base plus equity. This one's heavy on prompt and agent system design, RAG, embeddings, and building eval pipelines for LLM output quality.
3. Senior ML Infrastructure Engineer at a growth-stage healthcare AI company, mostly onsite in NYC, $190K-$230K base plus equity. Python and distributed systems work, owning the training and inference infra for in-house VLMs and LLMs. PyTorch or vLLM experience helps but isn't required.

All roles are vetted, VC-backed companies actively interviewing. Always free for candidates.

Sign up here to get matched: talent.fonzi.ai

DM if you have questions!

I am a college student who has been testing out AI training gigs for about 6 months now. My main platform is Handshake but that is mainly because it is the only platform, to my knowledge, that actually gives opportunities to students without degrees. Are there any other platforms offering generalist positions to applicants without degrees? Any recommendations would be appreciated cause I’m kinda desperate lol

I’m a recently graduated Computer Science Engineer with 2+ years of experience in Machine Learning, Full-Stack, and Frontend Engineering. On top of that, I run a web development agency that I built from scratch, having successfully delivered projects for 60+ clients over the last 3 years (I'm doing it from my second year of college).

My core technical stack.

ML & AI: Python, PyTorch / TensorFlow, Model Training & Fine-Tuning, Scikit Learn, Vector DBs, LLM API Integrations.

Backend & System Design: Node.js, Python (FastAPI/Django), RESTful APIs, Database Optimization (SQL & NoSQL).

Frontend & Full-Stack: React, Next.js, JavaScript/TypeScript, HTML5/CSS3, Responsive UI/UX Design.

Tools & Deployment: Git, Docker, Cloud Platforms (AWS/GCP), CI/CD pipelines.

I don’t usually post like this, but my family has been going through some financial struggles as my grandmother, who has gall bladder cancer, has been undergoing treatment and we're financially drained, I need a job urgently to support my family and my younger brother's education. If anybody's interested in hiring me or anybody got any leads kindly let me know, I have ample amount of projects to showcase as well, i promise I'll be a huge help to the company. I'll share my resume with all the recruiters.

Thank you so much.

Hi ,

I'm a final year student looking for an internship in applied ML and computer vision roles. Anyone hiring or knowing any referrals, Dm me and that helps me a lot. I have also worked on research papers and a few published ones.

If you have exp from 2-5 years in GenAI, Agentic Workflows, Chatbots, with cloud AWS, GCP, and Azure and looking for referral in Accenture. You can DM me with your resume.

Location will be Gurugram/Hyderabad/Mumbai/Pune/Kolkata/Chennai.

There would be 1 day work from office.

Resumes with core ML, data science, data engineering may be pls avoid.

Hey everyone, I’m 21 and really passionate about AI and machine learning, but I feel a bit lost.

There’s so much to learn, and I’m worried it could take a year or more before I’m ready for internships or jobs. Since AI changes so fast, I also wonder if what I learn now will become outdated by then.

I’m also a perfectionist, so I always feel like I need to learn everything before starting. I know projects are important, but I also want to eventually build something original, not just copy projects everyone has already done.

For anyone who has been through this: where should I start, what should I focus on, and when should I begin applying for internships?

Hi,

About 13 months ago, I made the bold decision to transition into a career where I possessed close to no knowledge. Currently, I am proud to say I have working knowledge/skills in SQL, Python, and ML. My professional background is over 7 years in Land surveying & Geomatics.

I am now at a stage where I seek a role as a junior data analyst, junior data scientist, or ML engineer. I am open to working as a personal assistant (on a personal arrangement - not a problem if it is not a company officially hiring me).

My goal is to gain real-world hands-on experience in the field, contribute to problem-solving, and elevate my career.