Data Scientist

As a full spectrum AWS integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. We take customers on their journey to enable, operate, and innovate using cloud technologies – from migration strategy to operational excellence and immersive transformation.
If you like a challenge, you'll love it here, because we're solving complex business problems every day, building and promoting great technology solutions that impact our customers' success. The best part is, we're committed to you and your growth, both professionally and personally.
Our Data Scientists are experienced technologists with technical depth and breadth, along with strong interpersonal skills. In this role, you will work directly with customers and our team to help enable innovation through continuous, hands-on, deployment across technology stacks. You will work to build data science pipelines that include building models, A/B testing, natural language processing, computer vision, MCP servers and AI Agents. You will deliver ML models and pipelines that solve real-world business problems, while leveraging ML Ops best practices, to ensure successful deployment of ML models and application code You will leverage cloud-based architectures and technologies to deliver optimized ML models at scale You will use programming languages like Python and work with popular ML frameworks like Scikit Learn, TensorFlow etc..
If you get a thrill working with cutting-edge technology and love to help solve customers' problems, we'd love to hear from you. It's time to rethink the possible. Are you ready?
What you will be doing:

Design, develop, and maintainAI Agentsleveraging modern frameworks and LLM-based orchestration techniques
Build, deploy, and optimizeMCP (Model Context Protocol) serversto extend agent capabilities and enable integration with external tools and APIs
Architect scalable, modular, and maintainable systems for multi-agent collaboration and tool interoperability
Implement secure and efficient communication channels between AI agents, MCP servers, and client applications
Continuously evaluate new frameworks, protocols, and libraries in theAI agent ecosystem(e.g., LangChain, AutoGen, crewAI, or custom MCP implementations)
Build complex SQL queries using MongoDB, Oracle, SQL Server, MariaDB, MySQL
Ability to work with structured and unstructured data sets
Deep experience with R or Python, and SQL
Ability to apply supervised and unsupervised machine learning techniques
Using modern ML frameworks such as SKLearn, PyTorch or TensorFlow
Data labelling, categorization, and structuring techniques
Ability to break down and clearly define problems
Ability to communicate highly technical results to a diverse audience
Excellent analytical and problem-solving skills
Qualifications & Skills:

5+ years of hands-on experience in data mining and predictive analytics with statistical modelling techniques
5+ years of experience in networking, infrastructure, or database architectures
Experienced with Python and modern ML frameworks such as SKLearn, PyTorch or TensorFlow
Proven experience indesigning and deploying MCP serversor similar protocol-based integrations
Strong software engineering background (Python,Node.js, or similar languages)
Experience withAI agent frameworks(e.g., LangChain, crewAI, AutoGen, Semantic Kernel, Haystack)
Solid understanding ofLLM orchestration, context management, and retrieval-augmented generation (RAG)
Knowledge ofAPI design,microservices, and communication protocols (WebSockets, gRPC, REST)
Familiarity withcontainerization and deployment(Docker, Kubernetes, or serverless)
Background incloud platforms(AWS, Azure, GCP) and MLOps workflows
Understanding ofsecurity best practicesfor agent–server interactions (auth, sandboxing, data governance)
Contributions toopen-source MCP servers, AI agent frameworks, or LLM plugins
Knowledge ofprompt engineering, fine-tuning, or reinforcement learning with human feedback (RLHF)
Experience with advanced data science tools
Experience applying computational algorithms and statistical methods to structured and unstructured data
MS or PhD in Applied Mathematics, Physics, Computer Science, Statistics, or related technical field
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.