About The Company
We are a fast-growing AI-driven technology company focused on building intelligent solutions that modernize and streamline complex workflows for public sector and enterprise clients. Our platforms leverage advanced AI, machine learning, and automation to enhance operational efficiency, improve decision-making, and deliver measurable business outcomes.
With a strong presence in the GovTech and regulatory technology space, we partner with government agencies and organizations to transform manual processes into scalable, AI-powered systems. Our collaborative and innovation-driven culture offers the opportunity to work on impactful projects with global teams and cutting-edge technologies.
Role Overview
We are looking for a highly skilled and hands-on
Principal Data Scientist to design, develop, and deploy AI and machine learning solutions across both in-house and client-facing projects. This is an individual contributor role that requires strong technical expertise, mentoring experience, and the ability to collaborate with cross-functional and global teams.
This role involves direct interaction with clients, coordination with US-based stakeholders, and contributing to strategic AI initiatives.
Key ResponsibilitiesAI/ML Model Development
- Design, train, and evaluate machine learning and deep learning models.
- Build NLP solutions to interpret structured and unstructured regulatory and business data.
- Develop computer vision and document understanding pipelines for processing PDFs, images, and scanned content.
- Fine-tune and optimize LLMs for use cases such as compliance checks, Q&A, and automation.
Deployment & MLOps- Work closely with engineering and platform teams to deploy models into production.
- Design and maintain scalable MLOps pipelines, including:
- CI/CD workflows
- Model monitoring and versioning
- Automated training and evaluation
- Ensure reliability, security, and scalability of deployed systems.
Client Engagement & Collaboration
- Work directly with clients to understand requirements and translate them into AI-driven solutions.
- Collaborate with product, engineering, and US-based teams to drive delivery.
- Provide technical guidance and mentorship to junior team members.
Research & Innovation
- Stay updated with the latest advancements in AI, generative models, and multimodal systems.
- Experiment with cutting-edge approaches such as RAG, embeddings, and LLM orchestration.
- Drive innovation and continuous improvement in AI workflows.
Required Qualifications
- 4 to 5 years of strong experience in AI/ML or Data Science.
- Hands-on deployment experience in production environments (mandatory).
- Strong expertise in MLOps, including Docker, Kubernetes, CI/CD, and model monitoring.
- Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
- Experience with NLP, transformers, embeddings, and LLM-based applications.
- Strong problem-solving and analytical skills.
- Excellent communication and client-facing skills.
Preferred Qualifications
- Experience working in startups or high-growth environments.
- Exposure to GovTech, regulatory, or compliance domains (preferred but not mandatory).
- Basic knowledge of government or public sector workflows is a plus.
- Experience in mentoring or leading small teams (4 to 5 years).
What We Offer
- Opportunity to work on impactful AI solutions in a fast-growing environment.
- Exposure to global clients and cross-functional teams.
- Strong learning and growth opportunities.
- Flexible and collaborative work culture.
- Competitive compensation and benefits.
Skills: python,mlops,ai/ml,ai-powered solutions,ai,machine learning,tensorflow,ml frameworks,ci/cd,llm,ml,deployment.,nlp,docker,pytorch,kubernetes,govtech,model monitoring
