Senior Forward Deployed Engineer / Lead Forward Deployment Engineer

We are looking for an experienced Forward Deployed Engineer with strong expertise in Data Science, Python, Machine Learning and AI solution development. The ideal candidate should have extensive experience building, deploying and optimising data-driven solutions while working closely with clients and business stakeholders.

The candidate will be responsible for translating complex business requirements into scalable technical solutions and driving end-to-end implementation of Data Science and AI applications.

Key Responsibilities:

• Design, develop and deploy end-to-end Data Science and Machine Learning solutions.
• Build predictive models, statistical models and advanced analytical solutions using Python.
• Work with large datasets to perform data processing, feature engineering and model development.
• Develop and implement scalable ML pipelines and production-ready applications.
• Collaborate directly with clients and stakeholders to understand business challenges and deliver technical solutions.
• Lead technical implementation, deployment and integration of AI/ML solutions into enterprise environments.
• Optimise model performance, accuracy, scalability and reliability.
• Work closely with Data Engineering, AI and Software Development teams.
• Troubleshoot production issues and provide technical guidance.
• Drive solution architecture, technical discussions and end-to-end project delivery.

Required Technical Skills:

• 8+ years of hands-on experience in Data Science.
• Strong expertise in Python programming.
• Extensive experience in Machine Learning and statistical modelling.
• Strong knowledge of Pandas, NumPy and Scikit-learn.
• Experience with TensorFlow or PyTorch.
• Hands-on experience in predictive modelling and feature engineering.
• Strong SQL and database knowledge.
• Experience developing and deploying end-to-end ML pipelines.
• Good understanding of data processing, model evaluation and optimisation.
• Experience deploying solutions in production environments.

Preferred Skills:

• Experience in Generative AI and Large Language Models (LLMs).
• Knowledge of RAG, LangChain and AI application development.
• Experience with AWS, Azure or GCP.
• Knowledge of Docker, Kubernetes and MLOps.
• Experience in client-facing technical delivery and solution implementation.
• Strong communication, stakeholder management and problem-solving skills.

Eligibility Criteria:

• Overall experience: 8 to 25 years.
• Minimum 8 years of relevant experience in Data Science.
• Strong hands-on technical background in Python and Machine Learning.
• Experience handling enterprise-level projects and client requirements.
• Ability to work independently and lead technical delivery.

Interested candidates with extensive hands-on Data Science and Python experience are encouraged to apply.