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Associate Engineer / Engineer – Data Science & Artificial Intelligence

Softvil Technologies    Colombo • Full-time

We’re Hiring: Associate Engineer / Engineer – Data Science & Artificial Intelligence

  • Contract Type: 1-Year Contract
  • Location: Colombo, Sri Lanka

Are you passionate about Machine Learning, Artificial Intelligence, Generative AI, and MLOps? Join our team and work on scalable, production-grade AI solutions for enterprise environments.

Key Responsibilities

  • Design, develop, and optimize ML models for classification, regression, clustering, forecasting, and anomaly detection
  • Build and deploy Deep Learning models using TensorFlow/PyTorch
  • Work with LLMs/SLMs, prompt engineering, fine-tuning, evaluation, and model serving
  • Develop and maintain MLOps/LLMOps pipelines, including training, versioning, CI/CD, deployment, and lifecycle management
  • Implement model monitoring, drift detection, performance, latency, bias, and cost monitoring
  • Apply AIOps techniques to operational and telemetry data
  • Develop secure and scalable APIs to integrate AI/ML capabilities into enterprise applications
  • Collaborate with Data Engineering teams on data preparation and feature engineering
  • Conduct model validation, experimentation, benchmarking, and reproducibility
  • Contribute to technical architecture, design documentation, and engineering best practices

What We’re Looking For

  • Bachelor’s degree in IT, Computer Science, Data Science, Engineering, Mathematics, or a related field
  • 1–3 years of hands-on experience in Data Science or ML Engineering
  • Strong Python skills and experience with scikit-learn, PyTorch, TensorFlow, NumPy, and pandas
  • Experience developing and deploying production-grade ML models
  • Knowledge of MLflow, Kubeflow, Vertex AI, SageMaker, or similar MLOps platforms
  • Exposure to LLMOps, RAG, vector databases, embeddings, and prompt engineering
  • Experience with APIs, microservices, Docker/Kubernetes, and cloud platforms (AWS/Azure/GCP)
  • Understanding of data pipelines, feature engineering, model lifecycle management, and CI/CD
  • Knowledge of time-series analysis, anomaly detection, and telemetry data
  • Strong analytical, problem-solving, and communication skills
  • Comfortable working in Agile, cross-functional teams with an engineering-first mindset

Interested candidates can send their CV and portfolio with following information

  • Notice Period
  • Expected Gross Salary
  • NIC