AI/ML Engineer
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Key skills for this role
About the Role
White Paper Alliance IT Services LLC seeks an AI/ML Engineer with at least 2 years of production experience to develop and deploy machine learning models, including traditional ML, advanced ML, and Generative AI/LLM applications.
Key Skills for This Role
Responsibilities
- Design, build, and deploy machine learning models including traditional ML (classification, regression, clustering), advanced ML (demand forecasting, dynamic pricing, anomaly detection), and Generative AI/LLM applications
- Develop and fine tune Large Language Models (LLMs) for conversational AI, business report generation, and personalized marketing
- Build and maintain efficient Retrieval Augmented Generation (RAG) pipelines
- Employ web scraping techniques using Playwright or Selenium for data collection
- Collaborate with data engineering team to build and maintain scalable data pipelines
- Own full lifecycle of ML models including deployment, monitoring, and continuous improvement
- Work closely with software developers to integrate AI/ML models into client platforms and internal systems
- Stay current with latest advancements in AI, machine learning, and data analytics
Requirements
- Minimum of 2 years of proven experience building and deploying machine learning models in a production setting
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related quantitative field
- Strong programming skills in Python
- Hands on experience with core ML/DL frameworks such as Scikit learn, TensorFlow, or PyTorch
- Demonstrable experience with Generative AI technologies, including working with APIs from OpenAI or similar, and HF open source models
- Expertise in building RAG systems and familiarity with vector databases (e.g., Pinecone, ChromaDB)
- Proficient in web scraping using Playwright and/or Selenium
- Strong analytical and problem solving skills
- Excellent verbal and written communication skills
Full Job Posting
Job Description
- We are seeking a highly skilled and motivated AI/ML Engineer with a passion for building cutting edge AI solutions.
- The ideal candidate will have at least two years of experience deploying robust machine learning models in a production environment.
- You will be responsible for the end to end development of AI powered features, from data collection and model training to deployment and optimization.
- This role requires a strong foundation in traditional machine learning, expertise in advanced AI techniques, and hands on experience with Generative AI, including LLM applications and RAG systems.
Key Responsibilities
- Model Development & Implementation: Design, build, and deploy a range of machine learning models, including but not limited to: Traditional ML: Customer churn prediction (classification), lifetime value forecasting (regression), and customer segmentation (clustering). Advanced ML: Develop sophistica
- Generative AI & LLM Applications: Develop and fine tune Large Language Models (LLMs) to power conversational AI for enterprise use cases, generate dynamic business reports, and create personalized marketing communications. Build and maintain efficient Retrieval Augmented Generation (RAG) pipelines t
- Data Acquisition & Engineering: Employ web scraping techniques using Playwright or Selenium to gather essential data for competitive analysis, market trends, and model enrichment. Collaborate with the data engineering team to build and maintain scalable data pipelines for training and inference.
- Production & MLOps: Own the full lifecycle of machine learning models, including deployment, monitoring, and continuous improvement in a live production environment. Work closely with software developers to integrate AI/ML models seamlessly into client platforms and internal enterprise systems.
- Research & Innovation: Stay current with the latest advancements in AI, machine learning, and data analytics to identify new opportunities and drive innovation within the company.
Required Skills and Qualifications
- Experience: A minimum of 2 years of proven experience building and deploying machine learning models in a production setting.
- Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related quantitative field.
- Technical Proficiency: Strong programming skills in Python. Hands on experience with core ML/DL frameworks such as Scikit learn, TensorFlow, or PyTorch. Demonstrable experience with Generative AI technologies, including working with APIs from OpenAI, or similar, and HF open source models. Expertise
- Problem Solving: Strong analytical and problem solving skills with the ability to translate business problems into tangible ML driven solutions.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non technical stakeholders.
Pay
- AED 3,500.00 AED 5,000.00 per month
Work Location
- In person
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