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Open nowFirst seen 11 hours ago

Associate Engineer/Engineer - Data Science/Artificial Intelligence

Axonect55 open roles

Where
Colombo, Sri Lanka
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Your applicationOpen nowAssociate Engineer/Engineer - Data Science/Artificial IntelligenceAxonect · Colombo, Sri Lanka

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Axonect's own form.

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 11 hours ago

The posting

Key Responsibilities

  • Design, develop, and optimize classical machine learning models (e.g., regression, classification, clustering, time-series forecasting, anomaly detection)
  • Build and deploy deep learning models using frameworks such as TensorFlow or PyTorch for structured, unstructured, and multimodal data
  • Fine-tune and evaluate language models (LLMs/SLMs) for tasks such as text classification, summarization, information extraction, and domain-specific reasoning
  • Implement and maintain MLOps and LLMOps pipelines, including model training, versioning, CI/CD, deployment, rollback, and lifecycle management
  • Develop model monitoring and observability solutions covering performance, drift detection, bias, latency, and cost metrics
  • Apply AIOps concepts to automate detection, root cause analysis, and predictive insights using operational and telemetry data
  • Collaborate with API Manager and platform teams to expose ML/AI capabilities as secure, scalable, and well-documented APIs
  • Participate in data preparation and feature engineering, working closely with data engineering teams and feature stores
  • Perform rigorous model validation, experimentation, and benchmarking, ensuring reliability and reproducibility
  • Contribute to technical design documents, architecture reviews, and best-practice guidelines
  • Mentor junior engineers/interns and contribute to raising overall data science and engineering standards within the team
  • Stay up to date with advancements in machine learning, deep learning, and generative AI, and assess their applicability to business use cases

Person Specifications

  • Bachelor's degree in IT/Computer Science, Data Science, Engineering, Mathematics, or a related field
  • 01 - 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

Vendor submissions - 06 months

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