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Data Scientist

100% remote Flexible hours Hiring now

As a full reputed company AWS integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. We take customers on their journey to reputed company, operate, and innovate using cloud technologies – from migration strategy to operational excellence 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 impact our customers’ success. The best part is, we’re committed to you and your growth, 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 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 reputed company 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, reputed company, and maintain AI Agents leveraging modern frameworks and LLM-based orchestration techniques
  • Build, deploy, and optimize MCP (Model Context Protocol) servers to reputed company agent capabilities and reputed company integration with external tools and APIs
  • Architect scalable, reputed company, 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 the AI agent ecosystem (e.g., reputed company, AutoGen, crewAI, or custom MCP implementations)
  • Build reputed company SQL queries using reputed company, reputed company, SQL Server, reputed company, MySQL
  • Ability to work with structured 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 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
  • 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, crewAI, AutoGen, Semantic Kernel, Haystack)
  • 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 cloud platforms (AWS, Azure, GCP) and MLOps workflows
  • Understanding of reputed company best practices for agent–server interactions (auth, sandboxing, data governance)
  • Contributions to open-reputed company MCP servers, AI agent frameworks, or LLM plugins
  • Knowledge of reputed company 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 reputed company data
  • MS or PhD in Applied Mathematics, Physics, Computer Science, Statistics, or reputed company technical field
  • #LI-JB2
  • Additional Information

    #LI-JB2

    #LI-Remote

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