Data Scientist – MLOps
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Job Summary
VAM Systems is currently looking for Data Scientist MLOps for our UAE operations with the following skillsets & terms and conditions:
Qualification:
- Bachelors degree in Computer Science Data Science Engineering or a related field.
- Masters degree or certifications in ML/AI/MLOps are an advantage.
Experience:
- 3-4 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.
Skills:
- 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.
Responsibities
Data Science & Analytics:
- 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.
Machine Learning Model Development:
- 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.
MLOps- End to End Model Deployment:
- 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.
Generative AI / LLMs Deployment
- 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.
Microsoft Automation & Engineering
- 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.
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 .
Additional Information :
Terms and conditions:
Joining time frame: maximum 4 weeks
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
VAM Systems is a Business Consulting, Technology Solutions and Professional Services organization working with major organizations in USA, UAE, Bahrain, India, Singapore and Australia. Delivers leading edge information and communication technology based business solutions to enabl ... View more
