
AI/Machine Learning
2 weeks ago
Job Summary:
We are an IT company that specializes in developing and executing high-quality software and web solutions for a diverse range of clients. We are looking for a passionate "AI/Machine Learning (NLP) Engineer" to join our team and help the company grow exponentially.
Job Description:
- LLM Implementation : Integrate and fine-tune LLMs via APIs (e.g., OpenAI, Anthropic) and deploy lightweight inference engines.
- AI Workflow Development : Build and optimize pipelines using LangChain , LlamaIndex , or crewAI for agent-based systems.
- Prompt Engineering : Collaborate with domain experts to design and test advanced prompting strategies.
- Vector Database Integration : Deploy and manage embeddings pipelines with Pinecone , Weaviate , or FAISS for RAG systems.
- MLOps Execution : Automate model deployment, monitoring, and versioning using tools like Docker, Kubernetes, and MLflow.
- No-Code Prototyping : Use platforms like n8n to rapidly test and iterate AI solutions.
Required Skills & Qualifications:
3–4 years of hands-on experience in AI/ML or related roles.
Proficiency in:
- LLM APIs (OpenAI, Cohere, Google Gemini) and embedding models (e.g., Hugging Face, OpenAI Ada).
- AI orchestration frameworks : LangChain, LlamaIndex, or crewAI.
- Vector databases : Pinecone, Weaviate, or FAISS.
- Python , REST APIs , and CI/CD pipelines for ML.
- Experience with prompt engineering , RAG, and basic MLOps practices.
- Familiarity with no-code tools like n8n or Make (formerly Integromat) .
- BS in CS, AI, or related field.
Nice-to-Haves:
- Basic understanding of AI ethics and bias mitigation.
- Contributions to open-source AI projects or GitHub repositories.
- Experience with streaming data pipelines (Apache Kafka, Spark).
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