Applied Data Scientist – MLOpsConfidential • United Arab Emirates
Applied Data Scientist – MLOps
Confidential • United Arab Emirates
9 منذ أيام
الوصف الوظيفي3-4 years of hands‑on experience as a Data Scientist or ML Engineer with strong focus on model deployment. Proven experience deploying ML, DL, and GenAI models in production environments. Practical experience working with MLOps workflows, including model training, versioning, deployment, monitoring, and automation. Strong Python programming skills (Pandas, NumPy, Scikit‑learn). Proficiency in ML frameworks : TensorFlow, PyTorch, MLflow, Hugging Face. Deep understanding of MLOps tooling : MLflow, Airflow, Kubeflow, Docker, Kubernetes, Azure ML. Experience with CI / CD (GitHub Actions, Azure DevOps). Ability to build APIs (FastAPI, Flask) and containerized deployments. Experience with LLMs, RAG pipelines, vector databases (FAISS, Pinecone), and prompt engineering. Develop Design and develop data science solutions using traditional ML and modern modeling techniques. Perform exploratory data analysis (EDA), feature engineering, and data preprocessing for model development. Define measurable success metrics, including accuracy, precision, recall, throughput, and latency. Contribute Build, test, and validate supervised and unsupervised ML models using best practice methodologies. Evaluate multiple algorithms and optimize hyperparameters to improve model robustness. Maintain documentation and ensure model interpretability where applicable. Implement Lead deployment of ML / AI models into production using CI / CD, automation, and containerized workflows. Develop reproducible ML pipelines for training, testing, serving, and monitoring. Implement scalable APIs and microservices for model inference. Set up real time and batch inference systems ensuring reliability and uptime. Detect and respond to model drift, data drift, and performance degradation. Deploy LLM-powered applications, including prompt based models, fine tuned models, and RAG systems. Build scalable back end infrastructure for hosting LLMs using Azure OpenAI, Hugging Face, or equivalent platforms. Evaluate LLM outputs for accuracy, safety, and consistency, enforcing enterprise guidelines. Develop automation scripts (Python / CLI) to optimize data pipelines, monitoring, alerts, and deployment workflows. Work with APIs, microservices, and event driven architectures to support ML deployments.
VAM Systems is a Business Consulting, IT Solutions and Services company.
VAM Systems is currently looking for Applied Data Scientist – MLOps for our UAE operations with the following skillsets & terms and conditions :
Qualification
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
- Master's degree or certifications in ML / AI / MLOps are an advantage.
Experience
Skills
Responsibilities
Data Science & Analytics :
Machine Learning Model Development :
MLOps- End to End Model Deployment :
Generative AI / LLMs Deployment
Microsoft Automation & Engineering
Terms and conditions
Joining time frame : (15 - 30 days)
The selected candidates shall join VAM Systems - UAE and shall be deputed to one of the leading organizations in UAE .
Skills Required : Data Science - ML, Pandas, Numpy, Tensorflow, MLops, Llm, Api, Azure
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