MarsDevs - Artificial Intelligence Data Scientist

Company Description

MarsDevs is a remote-first, offshore digital product development company based in India.

We specialize in building MVPs, Mobile and Web Applications, SaaS Products, and vertical solutions for SMBs.

With a Track Record Of Delivering Over 60 Solutions In 10 Countries And 12 Different Industry Verticals, We Focus On Quality Code, Speed, And Lasting Technical Overview

We are looking for an AI Data Scientist who is passionate about developing advanced AI solutions.

The ideal candidate has experience working with large-scale data from diverse sources and expertise in building AI agentic platforms using tools like LangChain and LangGraph.

This role offers the opportunity to lead AI projects that push the boundaries of Responsibilities :

• Develop and deploy scalable AI solutions using large, complex datasets from various sources.
• Build and optimize AI agentic platforms capable of autonomous decision-making.
• Leverage tools like LangChain and LangGraph to create innovative AI frameworks and applications.
• Design, test, and refine AI models for performance, scalability, and accuracy.
• Collaborate with cross-functional teams, including data engineers, developers, and product managers, to integrate AI solutions into MarsDevs' products.
• Stay updated on emerging AI technologies and integrate them into development strategies.
• Present insights and technical solutions to stakeholders in a clear and actionable :
  
  

Must-Have

• Strong experience in handling large datasets and designing data pipelines.
• Proven expertise in AI agentic platforms development.
• Hands-on experience with LangChain and LangGraph.
• Proficiency in Python or similar programming languages.
• Solid understanding of machine learning algorithms and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Knowledge of cloud platforms (e.g., AWS, GCP, Azure) for deploying AI solutions.
• Excellent problem-solving skills and ability to work independently or in a :
• Experience with natural language processing (NLP) and conversational AI models.
• Familiarity with distributed computing frameworks like Apache Spark or Hadoop.
• Knowledge of MLOps and AI lifecycle management.
  
  

(ref:hirist.tech)