Ai/ml Engineer
hace 6 horas
**Role Overview**
**Key Responsibilities**
- Develop, train, and optimize **machine learning models** for predictive analytics, NLP, computer vision, and automation.
- Implement **LLMs (Large Language Models)**, **Deep Learning architectures**, and **Transformer models**.
- Design and deploy **end-to-end ML pipelines**, ensuring efficiency and scalability.
- Utilize **MLOps** best practices for versioning, monitoring, and automation of ML models.
- Work with **cloud AI services** (AWS Sagemaker, Azure ML, Google Vertex AI, OpenAI API).
- Develop **data preprocessing and feature engineering** strategies for ML models.
- Deploy AI/ML solutions in **cloud, edge, and production environments**.
- Conduct **A/B testing, model evaluations, and continuous improvement** of ML models.
- Stay updated on **latest AI/ML research and industry trends**.
**Required Skills & Experience**
- **Proficiency in AI/ML frameworks**: TensorFlow, PyTorch, Hugging Face, OpenAI API.
- Strong knowledge of **Deep Learning, NLP, and Computer Vision models**.
- Hands-on experience in **LLM fine-tuning, embedding models, and generative AI**.
- Expertise in **Python, FastAPI, Flask, or similar backend frameworks**.
- Experience with **cloud platforms (AWS, Azure, or GCP)** for AI/ML model deployment.
- Strong understanding of **vector databases** (Pinecone, Weaviate, FAISS, ChromaDB).
- Experience with **MLOps tools**: MLflow, Kubeflow, TensorBoard, DVC.
- Familiarity with **CI/CD pipelines, Git, Docker, Kubernetes** for AI deployments.
- Strong analytical skills, problem-solving mindset, and passion for AI innovation.
**Preferred Qualifications**
- Experience with **multi-agent AI systems, reinforcement learning, and autonomous AI**.
- Knowledge of **AI safety, fairness, and responsible AI principles**.
- Experience with **RAG (Retrieval-Augmented Generation) and advanced Prompt Engineering**.
- Contributions to **AI research, publications, or open-source AI projects**.
- Background in **Mathematics, Statistics, or a related field**.
**Why Join Us?**
- Work with a cutting-edge AI/ML team that’s shaping the future of AI.
- 100% remote role with a flexible schedule.
- Opportunities for growth and continuous learning in AI.
- Engage in AI projects that create real-world impact.
- Competitive salary
Work Location: In person
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