Job Description: Data Scientist (MLOps, CI/CD, Generative AI)
Experience : 4 to 6 Years
Location: Isb / Hybrid
About the Role
We are seeking a Full Stack Data Scientist with strong expertise in MLOps, CI/CD, and Generative AI to join our growing AI/ML team. This role is highly dynamic and requires a balance of technical excellence, customer-facing skills, and business acumen.
You will be responsible for the end-to-end machine learning lifecycle—from data exploration and model development to deployment and optimization. A key part of the role is engaging with customers, understanding their business challenges, and delivering impactful Proof of Concepts (POCs) that build trust and demonstrate value.
Candidates with hands-on expertise in statistical models, traditional ML, deep learning architectures, time series forecasting, and financial modeling will be strongly preferred.
Experience with GPUs, CUDA, and high-performance computing is a plus, given the scale and complexity of deep learning and Generative AI workloads.
Key Responsibilities
Engage directly with customers to understand business problems and translate them into data science solutions.
Design and deliver impactful projects that clearly demonstrate value and help win new business opportunities.
Build and deploy end-to-end ML/AI solutions across domains such as NLP, Computer Vision, Generative AI, and Forecasting.
Develop and optimize MLOps pipelines for model training, deployment, and monitoring with CI/CD best practices.
Implement statistical, traditional ML, and deep learning models, ensuring accuracy, scalability, and robustness.
Create time series and financial forecasting models for predictive analytics in business and finance use cases.
Apply Generative AI methods (LLMs, RAG, LangChain, Hugging Face, Diffusion Models) to enterprise use cases.
Optimize training and inference with GPU acceleration and CUDA where applicable.
Ensure production-grade deployment with monitoring, drift detection, and retraining strategies.
Collaborate with product managers, engineers, and stakeholders to align technical solutions with business outcomes.
Stay updated with industry trends and bring innovative AI/ML solutions to customer engagements.
Required Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.
Experience: 3+ years of professional experience in end-to-end ML/AI solution delivery.
Technical Expertise:
Statistical models (hypothesis testing, regression, time series analysis).
Traditional ML (SVM, decision trees, ensemble methods, clustering, recommendation systems).
Deep Learning (CNNs, RNNs, LSTMs/GRUs, Transformers, GANs, Diffusion Models).
Time Series & Financial Models (ARIMA, Prophet, advanced LSTM/GRU models, risk prediction).
Generative AI (LLMs, RAG, LangChain, Hugging Face Transformers, OpenAI APIs).
Proficiency in Python (NumPy, Pandas, Scikit-learn, Statsmodels, TensorFlow, PyTorch).
Hands-on experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI).
Strong knowledge of CI/CD workflows (GitHub Actions, GitLab CI, Jenkins, Azure DevOps).
Experience with cloud platforms (AWS, Azure, GCP) for ML deployment and scaling.
Strong understanding of Docker, Kubernetes, and production deployment.
Excellent communication and presentation skills to face customers confidently.
Proven ability to translate customer requirements into POCs and production solutions..
Preferred/Bonus Skills
Experience with GPUs, CUDA, and high-performance model training.
Familiarity with real-time inference frameworks (TensorRT, Triton, TorchServe, FastAPI).
Knowledge of feature stores (Feast, Tecton) and monitoring tools (Evidently, WhyLabs, Prometheus, Grafana).
Exposure to financial services, supply chain, or enterprise AI domains.
Track record of winning client trust through successful POCs and solution delivery.
Contributions to open-source ML/AI projects.
Top Skills
What We Do
Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains.
Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence.
We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities.
Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices.
We are working with our clients across Middle East and Africa Region.
