r/MLjobs

Haa anyone appeared for expedia interview for ml engineer II( data engineering heavy role)?

I have my first HM round scheduled after few days. If anyone has appeared recently, I would like to know what was covered in the interview .

Hi, I have my first screening round scheduled in coming week for Amazon Applied Scientist 1. Recruiter mentioned that It will be a 1hr discussion, and there is a lot of breadth mentioned in the doc around what can be covered. However if anyone of you have recently appeared for this role, can you pls guide me what exactly to prepare given very short period of time .

This is for India.

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Need Help with Placements? I’m Offering Free AI/ML Career Guidance

I remember how confusing it was when I was preparing for placements.

Questions like:

\- Is my resume good enough?

\- What projects should I build?

\- Should I focus on DSA, ML, or GenAI?

\- How do I get shortlisted?

A lot of people don't need another paid course—they just need someone to point them in the right direction.

So here's what I'd like to do.

For the next few weeks, I'm offering FREE:

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\- Project suggestions based on your current skill level

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A little about me:

\- AI Engineer working on production GenAI systems

\- Previous Data Science Intern at Siemens Healthineers

\- Experience building enterprise RAG pipelines and AI applications

I'm not selling anything through these sessions. If I can help you avoid some of the mistakes I made, that's enough.

If you're a student, a recent graduate, or someone trying to transition into AI/ML, feel free to book a session here:

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If I receive a lot of requests, I'll review them on a first-come, first-served basis.

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Hi everyone,
I’m an AI/ML Engineer looking to take on freelance AI projects.
Over the last few months, I’ve built production AI systems, including medical AI assistants, RAG pipelines, fine-tuned LLMs, and FastAPI-based AI services.
**What I can help with:**
🤖 Custom AI chatbots
📚 RAG applications
🧠 LLM fine-tuning (LoRA/SFT)
⚡ FastAPI AI backends
🎤 Speech-to-text & AI workflows
🚀 Model optimization & quantization
🐳 Docker deployment
🐍 Python automation
**Tech stack**
Python • PyTorch • Hugging Face • LangChain • FastAPI • FAISS • ChromaDB • Docker • MLflow • Git
If you’re building an AI product, MVP, startup, or research project and need an AI engineer, feel free to DM me. Happy to discuss ideas before you commit.
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!

• MLOps Engineer @ Bright Vision Technologies

  • 💰 $100–150K/y
  • 💻 Python, Go, Rust, C++, vLLM, TensorRT-LLM, Kubernetes, GPU architecture, KV cache, LLM

• AL/ML Engineer, Lead @ Booz Allen Hamilton_United States

  • 💰 $129–292K/y
  • 💻 Python, PySpark, Palantir Foundry, TensorFlow, PyTorch, MLflow, Azure, Databricks, Domino, Generative AI

• 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

• MLOps Engineer @ dv01

  • 💰 $185–200K/y
  • 💻 MLflow, Kubernetes, Terraform, Python, Go, PyTorch, CI/CD, GCP, Pulumi, GitHub Actions

• 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

• Senior Machine Learning Operations Engineer @ BetMGM (Canada)

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

• 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, Foundation Models @ Chef Robotics

  • 💰 $200–300K/y
  • 💻 PyTorch, Python, diffusion models, transformers, behavior cloning, ONNX, TensorRT, quantization, performance profiling, MuJoCo

• 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

• AWS MLOps Engineer @ Concentrix Services Philippines, Inc.

  • 💰 $92–120K/y
  • 💻 MLflow, Spark ML, Python, ML libraries, Model registration, Model versioning, Model deployment, CI/CD, GitHub Actions, Model monitoring

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

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

• 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

• Principal MLOps Engineer  @ USA 3M Healthcare US Opco LLC

  • 💻 AWS, GCP, Azure, Kubernetes, Kubeflow, Airflow, Python, Java, Go, Prometheus

• 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

• Staff ML Engineer, Fine Tuning - Slack @ -India SEZ

  • 💻 PyTorch, TensorFlow, JAX, PHP, Python, Ruby, Go, C, Scala, Java

• Principal ML Engineer @ DST Technologies, Inc.

  • 💰 $150–160K/y
  • 💻 Python, Flask, Django, FastAPI, Celery, AWS, Kubernetes, Jenkins, Terraform, Splunk

• 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, ML Engineer - Auto Tagger @ Torc Robotics

  • 💰 $177–213K/y
  • 💻 Python, SQL, Machine learning, Databricks, Ray, Spark, Beam, AWS, GCP, Azure

• Senior ML, MLOps Engineer @ CDW Limited

  • 💻 Python, TensorFlow, PyTorch, Scikit-learn, MLflow, SQL, Azure Machine Learning, Databricks, Azure DevOps, CI/CD

• Senior MLOps Engineer @ ClimateAI

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

• Senior Platform/MLOps Engineer @ Bright Machines

  • 💰 $150–170K/y
  • 💻 Python, Javascript, C#, Go, Kubernetes, Terraform, Ansible, Prometheus, Grafana, OpenTelemetry

• VP Senior AI/AML Engineer @ Citicorp Services India Private Limited

  • 💻 Python, LLM, GenAI, LangChain, RAG, WebSockets, Microservices, GCP, AWS, Azure

• Senior Staff ML Engineer @ Typeface Careers

  • 💰 $200–247K/y
  • 💻 Machine learning, Generative AI, LLM, Multimodal Systems, Python, C/C++, SalesForce, SaaS, Adobe

• Sr. ML Engineer – ML & Applied AI @ Athleta LLC

  • 💻 Python, scikit-learn, XGBoost, PyTorch, TensorFlow, FastAPI, Flask, Docker, Kubernetes, GCP

• Senior ML Engineer II @ Waystar

  • 💻 Python, TensorFlow, PyTorch, Scikit-learn, Spark, Kafka, SQL, NoSQL, MLflow, Kubeflow

• Sr. ML Engineer @ Trunk Tools, Inc.

  • 💰 $183–246K/y
  • 💻 Python, Go, Kubernetes, LLM, NLP, Recommendation Systems, Search/Ranking Systems, Knowledge Graphs, Provenance Graphs, Document Processing

• MLOps Engineer @ US Guidehouse Inc.

  • 💰 $113–188K/y
  • 💻 Python, ML tooling, CI/CD, Docker, Kubernetes, Infrastructure-as-Code, DevOps, Databricks, MLflow, Spark

Like the post if you found this useful :)

I’ve spent the last year building.

Not because someone told me to. Not because it was part of a university assignment. I just genuinely enjoy building AI systems and seeing an idea become something people can actually use.

I’m a fresher based in Bangalore with an MCA specializing in AI and ML, and over the past year I’ve found myself going deeper into LLMs, RAG, agentic workflows, multimodal AI, and full stack AI development.

Some of the things I’ve worked on include:

• A RAG chatbot using LangChain, FAISS, and local LLMs.
• Multimodal computer vision work, including a dog emotion recognition system.
• Prompt engineering and dataset automation during my current internship.
• Building a Progressive Web App for my current team that is actively being developed.
• Modifying and automating workflows using Runner to streamline cold email outreach to founders and hiring managers.
• Prototyping long term memory systems for AI agents because I find that space incredibly interesting.

The thing that excites me most isn’t training another model. It’s building complete AI products that people can actually use.

I’m the kind of person who’ll spend an entire weekend trying to make an agent a little smarter or redesign a workflow because one extra click feels unnecessary.

The last few months haven’t been easy. I’ve applied to hundreds of roles, interviewed with startups, reached final rounds, collected more rejections than I’d like to admit, and kept building anyway. Every rejection became another reason to learn something new.

I’m looking for opportunities where I can contribute from day one while continuing to learn from engineers who are building ambitious AI products.

If your team is hiring for AI Engineer, ML Engineer, Applied AI, GenAI, or Full Stack AI roles, especially around LLMs, RAG, agents, multimodal systems, or AI products, I’d genuinely love to talk.

I’m happy to share my GitHub, LinkedIn, resume, and demos with anyone who’s interested.

Thanks for reading. Even if you’re not hiring, I’d love to connect with people who are just as obsessed with building AI as I am.

Hi All,

I’m an ML Engineer with 1 year of industry experience, having worked across the Automotive, Finance, and Anti-Money Laundering (AML) domains.

My experience spans the complete ML lifecycle—from classical machine learning to deploying solutions on the cloud. More recently, I've been working extensively with LLMs, where I've built solutions that significantly reduced inference costs while improving user experience through lower latency and better interactions.

A few highlights:

Experience across Automotive, Finance, and AML projects.

Strong foundation in classical ML and cloud deployment.

Optimized LLM applications to reduce request costs and improve response times.

Received my company's Q2 Best Performer Award for contributions and impact.

I'm looking to continue growing in applied AI/ML and would love to connect with others in the space or hear about interesting opportunities and projects.

I'm looking to hire a Senior Software Engineer/ Data Scientist / AI Engineer, you must be:

- able to speak in English fluently and professionally

- willing to work really

- experienced with backend development, AI/ML, or Data Science more than 5 years

It is not a role for Interns and Juniors

Please reach out to me with your linkedin profile.

WhatsApp: +1-713-913-2115

Thanks

I have overall 12 yoe with ai/ml experience of 8 years. I have these companies offer in pipeline. There is no much difference in ctc. All are in range of around 49-53.

Please put your valuable suggestions.

Thank you !

**Requirements:**
• 4-5+ YOE
**• Strong Python skills**
**• Experience with LLM APIs**
**• RAG, embeddings, vector databases, and prompt engineering**
**• AI agent frameworks and orchestration**
**• Backend API development and integrations**
**• Experience deploying AI systems into production**

**Nice to Have:**
**• Fine-tuning or model training**
**• LangGraph, LangChain, LlamaIndex, CrewAI, or similar frameworks**
**• MCP, A2A, or other AI integration protocols**
**• Docker, Kubernetes, and cloud platforms**
**• AI evaluation and monitoring**

**This role is fully remote**

**If interested, DM me with:**
**• Resume/CV**
**• GitHub/Portfolio**
• LinkedIn

Salary: $4k a month. Negotiable after few months.

Task:

• Test local VLMs/LLMs for document processing
• Main tasks revolves around designing, building and improving systems that convert unstructured content (PDFs, images, scans) into structured, actionable data. The role heavily utilize Computer Vision, Natural Language Processing (NLP), and Large Language Models (LLMs) to automate tasks like data extraction, text parsing, and document classification.

Location: Remote
Message me here if interested.

Hey everyone, my team has a few openings, and I can refer you for an ADS consultant, lead AI engineer, manager, or lead AI scientist role.

Please DM me if you're interested.

We're looking for folks with 5+ years of experience in data science, covering both traditional ML and GenAI.

Multiple location

ZS associates

Do you think learning the below with 2/3 solid projects would increase my chance of getting a job as AI developer or Engineer? Is there anything else should I include or remove?

Skills:
— Python, Data Manipulation & EDA
— Machine Learning Foundations (scikitlearn)
— Azure Document Intelligence + Azure Search Basics
— FastAPI Fundamentals
— PyTorch Fundamentals
— Computer Vision with Transfer Learning
— Transformers + QLoRA FineTuning
— Unified FastAPI Model Pack
— RAG Foundations: Local + Azure
— LangChain RAG Pipeline
— Copilot Studio Integration
— Docker & Containerization
— MLflow Tracking & Registry
— CI/CD with GitHub Actions
— Azure Deployment + Entra ID + Monitoring
— System Design + SQL + Final Portfolio

FINAL PORTFOLIO (4 Major Projects)

1. Document Intelligence + Search System
2. Model Pack API (ML + CV + LLM)
3. Enterprise RAG Assistant (LangChain + Azure + Copilot)
4. Full MLOps Deployment (Docker + MLflow + CI/CD + Azure)

We're hiring engineers to build enterprise Al agents and Al-native products at Relanto

Open Roles:

Al/ML Architect (USA & India) - 7+ years experience

Al/ML Engineer (India) - 3+ years experience

Full Stack Al/ML Engineer (USA & India) - 3+ years experience

Tech Stack:

LLMs & Al Agents

RAG / GraphRAG

MCP

Python, FastAPI

React / Next.js

AWS / GCP/Azure

We're looking for engineers who enjoy building production-grade Al systems, taking ownership, and shipping impactful products.

If you're interested, DM me your resume or LinkedIn profile, and I'll share more details.

Hello everyone,

This is the first time I am expressing myself publicly, I am 2025 grad from tier 2 college with Specialization in AIML,It all started from Campus placements, I got placed as Data Scientist/ML Engineer at one of the Indian Unicorn companies with package 7.5LPA on 12th December 2024.I wish i hadn't been selected for this company. I was really happy as i got placed ,due to college placement rules i got blocked from further campus placements, as i already got placed with the role i liked, i stopped applying off-campus.

My college placement rules were like
A student can have a maximum of two offers, but only one offer from any particular category
Category 1- <5 LPA
Category 2- 5-11 or 12 LPA
Category 3- above 12 LPA

In June 2025 ,i got my offer letter but with lower CTC 4.5 LPA(4+.5) but still i was like its okay as they are providing me the role which i was interested ,as i was placed in category 2,so i was only eligible for category 3, only very few companies came in this category, and i know about myself that i wont get placed in higher package, but moreover i wanted a job in AI domain, and these were of different roles. when i was not eligible in category 2 many good products based companies came around 10-12 LPA.
when i joined they handed me a testing role, the irony was others were earning 7.5 LPA ,as i come from tier 2/tier 3 my CTC was low. I was drained and exhausted in the company so i left with just 3 months of experience without any other offers.

I started searching for job, in February i got a job at a Startup as R&D (AI) Engineer, i accepted although it was a 6 day work week as i got the role which i liked. Here comes the twist my joining date was on February 2nd 2026, they already shared me the offer letter and even asked how will you collect your laptop(i insisted i would collect on the date of joining). on January 30th of 2026 they withdrew my offer due to organizational restructuring and unforeseen circumstances. They took 5 rounds of interview to withdraw my offer at last moment.

It's been 8 months and i am still searching for an entry level role in AI/ML domain , I am about to break with the fate i am carrying.

Skills: Python, Machine Learning, Deep Learning, NLP, PyTorch, Langgraph, RAG, LLMs, SQL, FastAPI(basics)
Preferred Location: Bengaluru,

If you know of any entry-level opportunities in AI/ML , I would be truly grateful for your help.

Hi, I’m building a small Python layer that sits between the user and any LLM. Its job is to maintain continuity. It would continuously organize useful information from interactions, track what stays salient across days or weeks, and inject only the relevant context back into the model when needed. The hypothesis is that this kind of persistent continuity can improve real-world use more than simply switching to a larger model.

I’m still at the design stage, but I have a clear architecture and a plan for the first prototype. I’m looking for $4k, which would fund the initial development phase through a working prototype.

If this sounds interesting, I’m happy to walk through the design, explain why I think current memory approaches don’t solve the problem, and discuss where I think it could go. Open to talking about investment/equity if there’s mutual interest.