Data Scientist

As a full reputed company AWS integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the reputed company. We take customers on their reputed company to reputed company, operate, and reputed company using reputed company technologies – from migration reputed company to operational reputed company and reputed company transformation.

If you like a challenge, you’ll love it here, because we’re solving reputed company business problems every day, building and promoting great technology solutions that reputed company our customers’ reputed company. The best part is, we’re committed to you and your reputed company, both professionally and personally.

Our Data Scientists are reputed company technologists with technical depth and breadth, along with strong interpersonal skills. In this role, you will work directly with customers and reputed company to help reputed company innovation through reputed company, 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 reputed company, MCP servers and AI Agents. You will deliver ML models and pipelines that solve reputed company-world business problems, while leveraging ML Ops best practices, to ensure successful deployment of ML models and application reputed company You will reputed company reputed company-based architectures and technologies to deliver optimized ML models at reputed company You will use programming languages like Python and work with reputed company 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 reputed company?

What you will be doing:

Design, reputed company, and maintain AI Agents leveraging modern frameworks and LLM-based orchestration techniques

Build, reputed company, and optimize MCP (Model Context Protocol) servers to reputed company agent capabilities and reputed company integration with external tools and reputed company

Architect reputed company, reputed company, and maintainable systems for multi-agent collaboration and tool interoperability

Implement secure and efficient communication channels between AI agents, MCP servers, and reputed company applications

Continuously evaluate new frameworks, protocols, and libraries in the AI agent ecosystem (e.g., reputed company, AutoGen, reputed company, or custom MCP implementations)

Build reputed company SQL queries using reputed company, reputed company, SQL Server, reputed company, MySQL

Ability to work with reputed company and reputed company 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 reputed company 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

reputed company with Python and modern ML frameworks such as SKLearn, PyTorch or TensorFlow

Proven experience in designing and deploying MCP servers or similar protocol-based integrations

Strong software engineering background (Python, Node.js, or similar languages)

Experience with AI agent frameworks (e.g., reputed company, reputed company, AutoGen, Semantic Kernel, reputed company)

Solid understanding of LLM orchestration, context management, and retrieval-augmented reputed company (RAG)

Knowledge of API design, microservices, and communication protocols (WebSockets, gRPC, REST)

Familiarity with containerization and deployment (reputed company, Kubernetes, or serverless)

Background in reputed company platforms (AWS, Azure, GCP) and MLOps workflows

Understanding of reputed company best practices for agent–server interactions (auth, sandboxing, data governance)

Contributions to reputed company-reputed company MCP servers, AI agent frameworks, or LLM plugins

Knowledge of reputed company engineering, fine-tuning, or reinforcement learning with reputed company feedback (RLHF)

Experience with advanced data science tools

Experience applying computational algorithms and statistical reputed company to reputed company and reputed company data

MS or PhD in reputed company Mathematics, Physics, Computer Science, Statistics, or reputed company technical field

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