**Title**:GenAI Engineer**Job Type**:Full-Time**Location**:Remote**Company Description**:**Job Summary**:**Key Responsibilities**:- Contribute to building and enhancing our Mechanized AI platform and AI-enabled- products including mAI Modernize- Serve as ML SME on client projects as needed- Design ML systems- Research and implement appropriate ML algorithms and tools- Select appropriate datasets and data representation methods- Run ML tests and experiments- Perform statistical analysis and fine-tuning using test results- Train and retrain systems when necessary- Extend existing ML libraries and frameworks- Stay current with emerging technologies and ML best practices to continuously- improve our methodologies and tools**Required Skills & Experience**:- 4+ years of ML experience at a start-up or larger enterprise - high priority- Client delivery experience - high priority- Effective written and oral communications skills (C1/C2 - advanced/proficient level English is required) - high priority- Bachelor's degree in computer science, software engineering or related field- Experience with cloud environments (e.g., AWS, Azure, GCP)- Experience with ML frameworks and libraries (TensorFlow, PyTorch, Keras,



scikit-learn)- Experience developing, deploying, and managing/monitoring models- Knowledge of containerization technologies (e.g., Docker, Kubernetes) and microservices architecture- Expertise in Object-Oriented Programming (OOP) principles and unit test-driven development methodologies- Strong proficiency in Python programming- Familiarity with prompt engineering approaches and best practices- Knowledge of data structures, data modeling, and software architecture- Strong analytical and problem-solving skills, with ability to propose innovative solutions and troubleshoot issues- Ability to work independently and as part of a collaborative team in a fast-paced environment**Preferred Qualifications**:- Experience in any of the following:- Agent development- Data privacy- Fine tuning LLMs- LLM architecture and techniques for performance- MLOps- ML evaluation- Model decay and data drift detection and handling- Pulumi, Terraform, and/or Cloud SDKs- PySpark- Quantization- Retrieval-augmented generation (RAG) optimization- Security- Vector databases**Contact**:Gabriel MartinezRecruiterMechanized AI

📌 Genai Engineer (Xico)
🏢 Mechanized AI
📍 Xico