Website:
hrtalentpartner.co
Job details:
AI / Machine Learning Engineer (Remote)
Note: To be considered, Please apply with a 2-minute max Loom Video on the following page.
"Along with your application, I want to hear about the most exceptional product you've built. Include a Loom video walking me through the product, the code and explain the most significant challenge you faced when working on it."
Salary - $40,000USD
We’re hiring an AI / Machine Learning Engineer to join a fast-growing financial data & technology company building AI-powered products used by banks, fintechs, and trading platforms globally.
This role sits at the intersection of machine learning, backend engineering, and real-time data systems, with a strong focus on production-grade AI.
💡 What you’ll be working on
You’ll be building systems that turn real-time financial data into actionable insights, leveraging modern ML and LLM capabilities.
🔧 Key Responsibilities
AI / Machine Learning
- Research, design, and deploy ML models across NLP, time-series forecasting, and event detection
- Build LLM-driven systems (summarization, RAG pipelines, embedding search)
- Develop model serving APIs and scalable inference layers (Python / Go)
- Implement monitoring, drift detection, and retraining pipelines
- Work with financial text (earnings calls, filings, news) to extract structured insights
- Partner with data teams on training datasets, feature stores, and embeddings
Backend & Infrastructure
- Build high-performance Python / Go microservices supporting AI systems
- Design and optimize real-time inference pipelines on AWS (EKS, ECS, S3, Lambda)
- Ensure low-latency, scalable, fault-tolerant systems
- Implement CI/CD for ML workflows (containerization, deployment, versioning)
- Collaborate with DevOps on infrastructure + observability
🧠 Required Experience
- 4+ years in AI/ML or data engineering, with production deployments
- Degree in Computer Science (or similar)
- Strong in Python (ML/data) and Go (backend/microservices)
- Experience with PyTorch, TensorFlow, or Hugging Face
- Understanding of transformers, embeddings, or LLM fine-tuning
- Strong grasp of data pipelines + ML lifecycle
- Experience with AWS (EKS, S3, Lambda, EC2)
- Comfortable working in distributed / remote teams
⭐ Nice to Have
- Startup experience
- Fintech / financial data exposure
- Experience building LLM APIs or RAG systems
- Knowledge of vector databases (Pinecone, Weaviate, FAISS, OpenSearch kNN)
- Experience with Kafka / streaming systems
- Exposure to MLOps tools (MLflow, Airflow, SageMaker, etc.)
- Open-source contributions (ML or Go)
⚙️ Tech Stack
- Languages: Python, Go
- ML: PyTorch, TensorFlow, Hugging Face, LangChain
- Cloud: AWS (EKS, ECS, S3, Lambda, EC2, IAM)
- Infra: Docker, Kubernetes
- Data: Kafka, Postgres, OpenSearch
- CI/CD: GitHub Actions, GitLab CI
- Monitoring: Datadog, Prometheus, Grafana
🌍 Details
- Remote (EU / US overlap preferred)
- Full-time contractor (40+ hours/week)
- Competitive, flexible compensation
- Target start: ASAP
Click on Apply to know more.