Infojini Inc.

AI Engineer

Infojini Inc.Contract
Remote
10 - 20 YearsMar 19th, 2026
96 ViewsBe an Early Applicant
Required Skillset:
JavaReactNode.jsMachine LearningAzureDatabricksReact NativeComputer VisionNext.jsAnomaly DetectionScikit LearnServerlessSQLAIAWSGCPRESTTensorFlownumpypandasPyTorchLLMsNatural Language Processing (NLP)Azure AIOpen AIAzure Transcription ServicesRLlibWebSocketPersonalization & Recommendation systems

Job Description

Please find the job description for the position of AI Engineer below, and kindly let me know if you are interested or would like to proceed further.

Job Title: AI Engineer

Location: Remote

Job Description:  

  • 5+ years of AI/ML Expertise: Understanding of core AI and machine learning concepts, models, and algorithms, demonstrated through practical application and system design. Ability to explain complex ideas clearly and significant focus on building and deploying production-grade AI/ML models and systems
  • LLM Experience: Hands-on experience building applications leveraging LLMs and deploying them into a production environment (considering aspects like performance, cost, reliability, monitoring), Workflows and Agentic AI
  • Solid Engineering Fundamentals: Proven growth in software design, data structures, algorithms, and writing clean, testable, and maintainable code
  • Technical Breadth:
    • Familiarity and hands-on experience with relevant technologies/frameworks like Databricks, Azure AI, Azure Transcription Services, , RLlib (Agent Model), PyTorch(State Model), Open AI, GCP
    • backend services(e.g., Node.js/Next.js/Java/Serverless),  
    • cloud platforms (AWS/GCP/Azure),
    • front-end frameworks (e.g., React/React Native),  
    • CI/CD pipelines, REST/WebSocket API development, and database technologies.
    • Solid programming skills in Python, with experience in pandas, numpy, and SQL, proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch
  • Broaden ML Domain Knowledge: Practical experience or solid knowledge in various machine learning domains such as Natural Language Processing (NLP), Computer Vision, Personalization & Recommendation systems, and/or Anomaly Detection
  • Adaptability & Learning Agility: Proven ability to quickly learn new technologies and methodologies, comfortable working on tasks requiring exploration and tackling ambiguity
  • Ownership & Drive: Self-driven, takes immense pride in technical contributions, proactively tackle problems, own features end-to-end, and find satisfaction in building impactful solutions
  • Inherent Curiosity: Has a solid desire to understand *how* and *why* things work, driving the “what” to build better, more efficient systems

Thanks & Regards,

 

Tushar Chauhan

(xxxxxxxxxxxxxxxExt. 1079

xxxxxxxxxxxxxxx

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