Job Title: AI/ML Engineer – Virtual Avatar Chatbot (Contract, Full-Time)
Type: Contract (Full-Time for the Duration of the Contract 4-7months)
Location: Fully Remote
(Pay #500,000.00-#750,000.00)/Mo
Overview:
We are a fast-growing startup seeking a skilled AI/ML Engineer on a contract basis to develop a generative AI-powered virtual avatar chatbot. In this full-time role for the duration of the contract, you will design, develop, and fine-tune cutting-edge AI models and agents, focusing on NLP, NLU, ML, and DL to deliver an engaging, intelligent virtual experience.
Key Responsibilities:
Develop and fine-tune AI models using frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, and LangChain.
Build and optimize NLP and NLU pipelines leveraging libraries like NLTK and spaCy.
Implement and integrate speech recognition/synthesis tools (e.g., Google Cloud Speech-to-Text, Amazon Polly) for voice interactions.
Manage data storage and retrieval with vector databases (Faiss, Milvus) and graph databases (Neo4j, Amazon Neptune).
Collaborate with cross-functional teams to integrate AI functionalities into engaging UX/UI experiences.
Utilize model fine-tuning tools (e.g., Jupyter Notebooks, Google Colab) to iterate and improve performance.
Tech Stack & Tools:
AI Frameworks: PyTorch, TensorFlow, Hugging Face Transformers, LangChain
Fine-Tuning Tools: Jupyter Notebooks, Google Colab
Databases: Faiss, Milvus, Neo4j, Amazon Neptune, MongoDB, PostgreSQL
NLP & Speech: NLTK, spaCy, Google Cloud Speech-to-Text, Amazon Polly
Development Tools: Coder, Copilot, GitHub, Visual Studio Code
Open-Source & Integration: Llama 3.3, Modern BERT, Qwen, Nvidia’s Nemotron, Kong, KrakenD
UX/UI & Simulation: React, Vue.js, Angular, Figma, Sketch, Adobe XD, Blender, Three.js
CI/CD & Testing: Jenkins, GitHub Actions, Jest, Mocha, Chai; Monitoring with New Relic, Datadog
Additional Tools: Security (OWASP ZAP, SonarQube), User Authentication (Azure AD, OAuth 2.0), Streaming (WebRTC, Node.js)
Qualifications:
Proven experience in developing and fine-tuning AI/ML models with a focus on NLP and deep learning.
Solid understanding of modern ML/DL architectures and data management in large-scale environments.
Proficiency with Python and related AI frameworks, along with strong problem-solving skills.
Excellent communication and collaboration skills in a fully remote work environment.
Apply via :
forms.gle