Job Description

Strong exp in Data Science, Generative AI, LLM
Purpose of the role:
We are seeking a highly motivated and experienced Senior Data Engineer to join our team in designing and deploying cutting-edge AI and data-driven solutions in the Telco industry.
This role demands a strong foundation in data science, machine learning, and modern AI paradigms including Generative AI, Large Language Models (LLMs), and Foundational Models.
You will work closely with stakeholders to translate business needs into scalable, intelligent systems using advanced cloud-native tools.
KEY RESPONSIBILITIES:
In this role, you will be responsible for:

• Conduct extensive data exploration, pre-processing, and quality assurance.
• Design and implement data science methodologies for structured and unstructured datasets.
• Apply predictive analytics, time series forecasting, and statistical modeling.
• Engineer features and optimize model performance.
• Train, evaluate, and deploy ML models using classical and deep learning techniques.
• Integrate and operationalize LLMs and Generative AI models using frameworks like LangChain, Hugging Face, and OpenAI.
• Leverage AWS services such as Bedrock, SageMaker, and Lambda for scalable model deployment.
• Implement Retrieval-Augmented Generation (RAG) pipelines and prompt engineering strategies.
• Monitor model performance, detect drift, and manage retraining workflows.
• Collaborate with cross-functional teams to embed AI capabilities into business applications.
• Stay abreast of advancements in AI, GenAI, and cloud technologies.
• Mentor junior engineers and contribute to knowledge sharing.
• Maintain comprehensive documentation of data workflows and model lifecycles.
• Experience and understanding of Agentic AI and MCP servers.

Key Performance Indicators (KPIs) for the role:
Over the next 12 months, this role's success will be measured on:

• Successful deployment of data science models into production.
• Improvement in model performance metrics (e.g., accuracy, precision, recall).
• Effective data-driven decision-making supported by predictive analytics and statistical models.
• Timely identification and mitigation of model drift.
• Effective collaboration with cross-functional teams.
• Mentorship and development of junior team members.
• Successful deployment of GenAI and ML models into production.
• Effective use of LLMs and foundational models in business applications.

KEY JOB REQUIREMENTS:
In this role, you will be successful if you have:
Experience:

• 5+ years of experience in data science.
• Strong understanding of data science techniques, including statistical modelling and data analytics.
• Experience with data science libraries (e.g., NumPy, pandas, scikit-learn).
• Proven experience with ML, GenAI, and LLMs in production environments.

Skills & Competencies:
Must Have:

• Proficiency in Python, R, or other relevant programming languages.
• Proficiency in working with large datasets, data wrangling, and data pre-processing.
• Hands-on with ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
• Ability to work independently and lead projects from inception to deployment.
• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).
• Familiarity with LLMs, prompt engineering, pre-training, and fine-tuning techniques.
• Experience with AWS Bedrock, SageMaker, and GenAI pipelines.

Preferred Skills:

• MSc or PhD in Data Science, Computer Science, or related field.
• Experience with LangChain, RAG, Vector DBs (e.g., FAISS, Pinecone), and Hugging Face Transformers.

ADDITIONAL NOTES:

• Ability to work independently or as part of a team.
• Strong communication and stakeholder management skills.

Passion for innovation and continuous learning in AI

Skills Required