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About the Role::
We are looking for a Data & AI Scientist to design, develop, and deploy cloud-native AI and data solutions that are scalable, reusable, and production-ready.
You will work with Product Owners, Engineering teams, and industry partners to build innovative AI-driven applications using the latest technologies, including Generative AI, Large Language Models (LLMs), AI Agents, and Machine Learning, helping to solve real-world industry challenges.
Key Responsibilities::
Collaborate with Product Owners, Engineering teams, and stakeholders throughout the product lifecycle—from concept, design, prototyping, testing, deployment, and operationalization.
Research, evaluate, and recommend emerging AI technologies and industry trends for production use.
Design and develop cloud-native AI applications using Microservices Architecture.
Build, deploy, and optimize Machine Learning, Deep Learning, and Generative AI solutions.
Develop AI-powered applications using LLMs, AI Agents, Retrieval-Augmented Generation (RAG), Prompt Engineering, and Vector Databases.
Implement and validate AI algorithms while ensuring scalability, security, fairness, transparency, and operational efficiency.
Participate in Agile software development, code reviews, documentation, and best practices.
Qualifications::
Bachelor's or Master's Degree in Computer Science, Computer Engineering, Engineering, Mathematics, Statistics, AI, Data Science, or a related discipline.
Required Technical Skills::
Artificial Intelligence & Machine Learning
⚙️ AI Frameworks & Programming
️ Data & Cloud Technologies
3D & Computational Geometry
⭐ Preferred Experience::
Developing and deploying AI solutions in production environments
Hands-on experience with OpenAI, Claude, AI Agents, RAG, and Prompt Engineering
Experience building scalable AI applications using cloud technologies
Knowledge of AI software development lifecycle and Agile methodologies
Elliott Moss in the past six years has grown and so did our ambition to provide skilled talents to all major MNCs and SMEs around the globe. We now have three operational offices strategically place around the globe to met our clients need.
We primarily deal with SAP (Principal Offices) and other IT companies in consulting, resourcing and training. We work with over 40 SAP Offices worldwide providing them with Trainers & Consultants for high-end Consulting assignments.
Our primary mission and vision is to provide you with the best suitable employees who bring success to your organization and allows us to grow together.
•Vision - To be a valuable contributor to the success of our clients and candidates in the next few years.
•Values - To reflect the qualities of our clients with a culture of passion, energy, enthusiasm and innovation
Job ID: 150482145
Skills:
Data Scientist, Python, Data Cleaning, Ml
Skills:
Github, Power Bi, Tableau, Tensorflow, Git, Pytorch, MLops, XGBoost, Gitlab, Python, Airflow, scikit-learn, MLflow, R
Skills:
Machine Learning, Apache Spark, Tableau, Nlp, Docker, Qlik, Data Architecture, Kubernetes, Python, GenAI, Shiny, Plotly, Statistics, Llm, ggplot2, Feature Selection, Agentic AI, R, Simulation, Optimizations
Skills:
regression models , Machine Learning, Natural Language Processing, Python, Computer Vision, Generative AI, R, Cloud techniques, Classification models, Cluster models
Skills:
three.js , Data Manipulation, Machine Learning, Tensorflow, Opengl, Python, CAD software, Boolean operations, 3D geometry, geometric transformations, deep learning frameworks, Ai, Claude, Torch, CGAL, vector math, Blender, Rivet, OpenAI, coordinate systems, Reporting
We don’t charge any money for job offers
