Two95 International Inc.
Information Technology and Services
AI/MLEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“AI/ML Engineer at Two95 International Inc.. Skills: AI/ML, Generative AI, MLOps, Cloud Platforms. Develop machine learning models. Train machine learning models”
Industry & Context.
Problem-solving
What They're Looking For.
Must Have
5+ years of experience in AI/ML development, Experience building and deploying production-grade AI solutions
Nice to Have
Experience with OpenAI, Llama, Claude, Vector Databases experience, MLOps and Model Monitoring experience, Data Engineering and ETL Pipelines experience, AI Governance and Responsible AI experience
What You'll Do.
Develop machine learning models
Train machine learning models
Evaluate machine learning models
Deploy machine learning models
Build predictive analytics
Build recommendation systems
Build forecasting models
Build anomaly detection solutions
Design Generative AI applications
Implement Generative AI applications
Design LLM applications
Implement LLM applications
Develop RAG solutions
Develop AI-powered chatbots
Perform data preprocessing
Perform feature engineering
Perform performance optimization
Build scalable data pipelines
Deploy ML models in production
Manage ML models in production
Implement MLOps best practices
Automate CI/CD pipelines
Collaborate with cross-functional teams
Ensure model reliability
Ensure model scalability
Ensure model security
Ensure model compliance
How You'll Work.
Team & Collaboration
Cross-functional teams; Data Scientists; Data Engineers; Business stakeholders
Communication Scope
Stakeholder management
Full Job Description
We are looking for a skilled AI/ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong experience in machine learning, deep learning, Generative AI, MLOps, and cloud platforms such as AWS or Azure. The role involves working closely with Data Scientists, Data Engineers, and business stakeholders to build innovative AI-driven products and solutions. **Key Responsibilities:** * Develop, train, evaluate, and deploy machine learning models for various business use cases. * Build predictive analytics, recommendation systems, forecasting models, and anomaly detection solutions. * Design and implement Generative AI applications using Large Language Models (LLMs). * Develop Retrieval-Augmented Generation (RAG) solutions and AI-powered chatbots. * Perform data preprocessing, feature engineering, model tuning, and performance optimization. * Build scalable data pipelines for AI and ML workloads. * Deploy and manage machine learning models in production environments. * Implement MLOps best practices, including model monitoring, versioning, and CI/CD automation. * Collaborate with cross-functional teams to gather requirements and deliver AI solutions. * Ensure model reliability, scalability, security, and compliance with organizational standards. **Required Skills:** * Python, SQL * Machine Learning and Deep Learning * TensorFlow, PyTorch, Scikit-Learn * Generative AI, LLMs, Prompt Engineering * LangChain, LlamaIndex, RAG * Apache Spark / PySpark * Docker, Kubernetes * MLflow, Kubeflow * AWS or Azure Cloud * Git, CI/CD Pipelines **Preferred Skills:** * Experience with OpenAI, Llama, Claude, or similar LLMs * Vector Databases (Pinecone, ChromaDB, Weaviate, FAISS) * MLOps and Model Monitoring * Data Engineering and ETL Pipelines * AI Governance and Responsible AI **Qualifications:** * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field. *
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