Senior Data Scientist – AI/ML
About the role
The Senior Engineer - Data Science/Machine Learning Engineer at Bridge BSS Talent will be responsible for designing, developing, and optimizing machine learning and deep learning models, including classical ML and LLMs. The role involves building and deploying models, implementing MLOps and LLMOps pipelines, developing monitoring solutions, and collaborating with platform teams to expose AI/ML capabilities via APIs. The position also includes mentoring junior engineers, contributing to technical documentation, and staying updated with advancements in AI/ML. The ideal candidate will have at least 3 years of hands-on experience in data science or ML engineering, strong Python and ML/DL library skills, experience with MLOps tools, cloud platforms, and a solid understanding of data pipelines and model lifecycle management. The company is a global leader in IT outsourcing and business support services, working with innovative clients to deliver impactful technology solutions.
Must have
- Bachelor's degree in IT/Computer Science, Data Science, Engineering, Mathematics, or a related field
- 03+ years of hands-on experience in data science or machine learning engineering roles
- Strong experience with Python and common ML/DL libraries (scikit-learn, PyTorch, TensorFlow, NumPy, pandas)
- Proven experience developing and deploying production-grade ML models
- Hands-on experience with MLOps platforms and tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI, or equivalent)
- Practical exposure to LLMOps, including prompt engineering, fine-tuning, evaluation, and model serving
- Experience working with APIs, microservices, and integrating ML models into enterprise applications
- Solid understanding of data pipelines, feature engineering, and model lifecycle management
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
- Experience applying AIOps techniques in monitoring, observability, or IT/network operations contexts
- Knowledge of time-series analysis, anomaly detection, or large-scale telemetry data
- Familiarity with vector databases, RAG pipelines, and embedding models
- Exposure to API management platforms and security concepts (authentication, rate limiting, governance)
- Experience with CI/CD pipelines for ML and AI systems
- Prior experience in telecommunications, fintech, or large-scale enterprise environments
- Strong analytical and problem-solving skills with a pragmatic, engineering-first mindset
- Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders
- Comfortable working in cross-functional, agile teams
- Self-driven, accountable, and capable of owning solutions end-to-end
- Passion for continuous learning and applying emerging AI technologies responsibly
Technologies
- Agile
- Anomaly Detection
- Authentication
- AWS
- Azure
- CI/CD
- Data Engineering
- Data Pipelines
- Data Science
- Deep Learning
- Docker
- Feature Engineering
- Fine-Tuning
- Fintech
- GCP
- Generative AI
- Kubeflow
- Kubernetes
- LLM
- LLMOps
- Machine Learning
- Microservices
- MLflow
- MLOps
- NumPy
- Observability
- pandas
- Prompt Engineering
- Python
- PyTorch
- RAG
- SageMaker
- scikit-learn
- TensorFlow
- Time Series
- Vector Databases
- Vertex AI
Highlights
The role is based in Colombo, Sri Lanka, and offers onsite or hybrid work modes. It is a full-time contract position with the possibility of extension. The company operates globally and works with leading technology clients.
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