![Cinnova Technologies, LLC](https://media.trabajo.org/img/noimg.jpg)
AI Solutions Developer
20 hours ago
Job Summary:
Cinnova Technologies, LLC is seeking a highly skilled AI Solutions Developer to design, develop, and deploy innovative machine learning models and AI-driven solutions. This is an exciting opportunity for individuals passionate about artificial intelligence, data science, and building intelligent systems to solve real-world challenges.
Key Responsibilities:
- Design, develop, and optimize machine learning models and AI-driven solutions to address complex business challenges.
- Implement retrieval-augmented generation (RAG) pipelines to enhance AI model capabilities, integrating vector databases and retrieval models.
- Develop and fine-tune large language models (LLMs) for NLP applications, leveraging transformers and embedding-based search.
- Utilize Hugging Face Transformers and Model Hub for fine-tuning and deploying state-of-the-art models.
- Collaborate with cross-functional teams to define project requirements and integrate AI/ML solutions into business workflows.
- Preprocess, clean, and analyze large-scale datasets while ensuring data privacy, security, and compliance (e.g., GDPR, HIPAA, SOC 2).
- Develop and deploy secure and scalable ML pipelines, leveraging MLOps best practices for continuous integration and deployment.
- Monitor, evaluate, and refine model performance using A/B testing, drift detection, explainability, and adversarial robustness techniques.
- Implement AI security best practices, including adversarial attack detection, model integrity verification, and bias mitigation.
- Stay updated with LLMs, generative AI, retrieval-based AI trends, and secure AI development methodologies.
- Deploy and manage AI/ML models on cloud platforms such as AWS, Azure, or GCP, ensuring compliance with secure AI governance frameworks.
- Work with vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and retrieval frameworks (e.g., LangChain, LlamaIndex).
- Build and optimize secure APIs, ensuring protection against data leaks, prompt injection attacks, and unauthorized access.
Qualifications and Requirements:
- 2+ years of experience in AI/ML model development and deployment.
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field.
- Strong programming skills in Python (preferred), R, or Java.
- Hands-on experience with ML frameworks like TensorFlow, PyTorch, or Keras.
- Expertise in natural language processing (NLP), computer vision, deep learning, and LLMs.
- Proficiency in retrieval-augmented generation (RAG), embedding models, and vector databases (FAISS, Pinecone, Weaviate, ChromaDB).
- Experience with cloud AI services (AWS SageMaker, Azure AI, Google AI Platform).
- Strong understanding of Hugging Face Transformers, Model Hub, and tokenizers for model fine-tuning and deployment.
- Familiarity with big data tools such as Hadoop, Spark, or Kafka (preferred).
- Strong understanding of adversarial ML attacks, model explainability, AI governance, and bias mitigation techniques.
- Knowledge of security best practices for AI, including prompt injection protection, data anonymization, and secure model deployment.
- Strong foundation in algorithms, data structures, and model evaluation techniques.
- Proven ability to deliver end-to-end AI/ML projects, from concept to production, with a focus on secure and responsible AI.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication skills to collaborate with teams and present findings.
- Ability to work on-site and manage multiple projects effectively.
Benefits and Perks:
- Competitive salary.
- Provident fund and medical allowances.
- Professional training and certifications.
- Paid time off.
- Semi-annual performance bonus and awards.
- Hajj/Umrah leaves.
- Maternity/paternity leaves.
- Wedding leaves.
- Long service bonus and awards.
- Friday lunch.
- Company sports, game nights, dinners.
- Fun and dynamic working environment.
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