8th Element
Website:
8thelement.ai
Job details:
Key Responsibilities
Core Engineering
- Advanced Python skills with a strong grasp of clean, modular, and maintainable code practices
- Experience building production-ready backend services using frameworks like FastAPI, Flask, or Django
- Strong understanding of software architecture, including RESTful API design, modularity, testing, and versioning.
- Experience working with databases (SQL/NoSQL), caching layers, and background job queues.
AI/ML & GenAI Expertise
- Hands-on experience with machine learning workflows: data preprocessing, model training, evaluation, and deployment
- Practical experience with LLMs and GenAI tools such as OpenAI APIs, Hugging Face, LangChain, or Transformers
- Understanding of how to integrate LLMs into applications through prompt engineering, retrieval-augmented generation (RAG), and vector search
- Comfortable working with unstructured data (text, images) in real-world product environments
- Bonus: experience with model fine-tuning, evaluation metrics, or vector databases like FAISS, Pinecone, or Weaviate
Ownership & Execution
- Demonstrated ability to take full ownership of features or modules from architecture to delivery
- Able to work independently in ambiguous situations and drive solutions with minimal guidance
- Experience collaborating cross-functionally with designers, PMs, and other engineers to deliver user-focused solutions
- Strong debugging, systems thinking, and decision-making skills with an eye toward scalability and performance
Required Qualifications
- Bachelor’s in Computer Science, Engineering, Data Science, or a related field
- 2-7 years of experience in building and deploying ML models in real-world applications
- Proficient in Python and ML libraries/frameworks like TensorFlow, PyTorch, scikit-learn, etc.
- Solid understanding of algorithms in supervised, unsupervised, and deep learning
- Experience with data preprocessing, feature engineering, and model evaluation
- Familiarity with cloud platforms (AWS, GCP, or Azure) and ML Ops practices
- Strong problem-solving and leadership skills with the ability to take ownership
Nice To Have
- Experience with NLP, computer vision, or time-series analysis
- Knowledge of containerization (Docker, Kubernetes) and model deployment pipelines
- Contributions to open-source projects or published research
- Experience managing a team or leading cross-functional projects
Skills: ml,python,langchain,flask,fastapi,django,artificial intelligence,transformers,hugging face
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