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Open nowFirst seen 8 hours ago

Associate Lead - Data Science

Axonect55 open roles

Where
Colombo, Sri Lanka
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Your applicationOpen nowAssociate Lead - Data ScienceAxonect · Colombo, Sri Lanka

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  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 8 hours ago

The posting

Key Responsibilities

  • Lead the development and deployment of advanced data science and AI solutions across Machine Learning (ML), Deep Learning (DL), Generative AI, and Agentic AI use cases
  • Lead the end-to-end model lifecycle management, including data ingestion, feature engineering, model development, evaluation, deployment, monitoring, and retraining
  • Lead the development and operationalization of Generative AI and Agentic AI systems, including prompt engineering, orchestration frameworks, tool integration, and autonomous agent workflows
  • Collaborate with cross-functional teams (Engineering, Data Engineering, Product, QA, DevOps) to deliver robust AI-powered solutions
  • Provide technical leadership and mentorship to data scientists and ML engineers, driving capability development and code quality standards
  • Ensure AI solutions comply with organizational governance frameworks, including security, privacy, ethical AI, and regulatory requirements
  • Evaluate and integrate modern AI/ML tools, frameworks, and platforms (e.g., model serving frameworks, vector databases, orchestration tools)
  • Translate complex business problems into scalable AI solutions and communicate outcomes effectively to stakeholders and leadership

Person Specifications

  • Bachelor's degree in IT, Computer Science, Software Engineering, Data Science, Engineering, Mathematics, or a related field
  • 4-5 years of professional experience in Data Science, AI, or ML, working in production-grade environments

Technical Expertise

  • Strong hands-on experience in Machine Learning and Deep Learning (supervised/unsupervised learning, NLP, computer vision)
  • Practical experience in Generative AI (LLMs, prompt engineering, RAG pipelines, embeddings, fine-tuning)
  • Experience designing and implementing Agentic AI systems (multiagent orchestration, tool usage, autonomous workflows)
  • Solid knowledge of MLOps practices (model lifecycle management, CI/CD, monitoring, retraining pipelines)
  • Experience in LLMOps (prompt/version management, evaluation frameworks, guardrails, cost optimization, observability)
  • Proficiency in Python and common AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Experience with cloud platforms (AWS, Azure, or GCP) and cloudnative platforms & services (e.g., Copilot Studio, Bedrock, Vertex AI, Azure OpenAI)
  • Familiarity with data engineering concepts (ETL pipelines, feature stores, data lakes/warehouses)

Leadership & Soft Skills

  • Strong architectural thinking and problem-solving skills with the ability to design scalable AI systems
  • Proven ability to lead teams, mentor engineers, and drive delivery in fast-paced environments
  • Excellent communication skills with the ability to engage both technical and non-technical stakeholders
  • Experience working within governance frameworks (e.g., AI governance, security, compliance)
  • Strong ownership mindset with a focus on quality, performance, and business impact

Vendor submissions - 12 months

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