Overview
Client Manager | Hiring for UK, Europe & Middle East
6 Months+ (long term project)
Direct message the job poster from Response Informatics
Responsibilities
* 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)
* Successful deployment of data science models into production.
* 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:
* 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.
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.
Seniority level
* Mid-Senior level
Employment type
* Contract
Job function
* IT Services and IT Consulting
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