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Artificial Intelligence Consultant

Artificial Intelligence Consultant

Rapsys TechnologiesDelhi, IN
30+ days ago
Job type
  • Remote
Job description

Experience Required : Minimum 6+ Years

Location : Remote / Work From Home

Job Type : Contract to Hire (1 Year / Renewable)

Notice Period : Immediate to 15 Days Max

Mode of Interview : Virtual

Job Summary :

  • Experience : Minimum 5+ years of experience in consulting or technology roles, with at least 3 years focused on AI & ML solutions.
  • Education : Bachelor's or Masters in Computer Science, AI, Engineering, or related field.
  • Leadership Quality : Proven track record in leading cross-functional teams and delivering enterprise-grade AI projects with tangible business impact.
  • Business Consulting Mindset : Strong problem-solving, stakeholder communication, and business analysis skills to bridge technical and business domains.
  • Python & AI Proficiency : Advanced proficiency in Python and popular AI / ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, spaCy, NLTK). Solid understanding of NLP, embeddings, semantic search, and transformer models.
  • LLM Ecosystem Fluency : Experience with OpenAI, Cohere, Hugging Face models; prompt engineering; tool / function calling; and structured task orchestration.
  • Independent Contributor : Ability to own initiatives end-to-end, take decisions independently, and operate in fast-paced environments.

Preferred Skills :

  • Cloud Platform Expertise : Strong familiarity with Microsoft Azure (preferred), AWS, or GCP including compute instances, storage, managed services, and serverless / cloud-native deployment models.
  • Programming Paradigms : Hands-on experience with both functional and object-oriented programming in AI system design.
  • Hugging Face Ecosystem : Proficiency in using Hugging Face Transformers, Datasets, and Model Hub.
  • Vector Store Experience : Hands-on experience with FAISS, Qdrant, Pinecone, ChromaDB.
  • LangChain Expertise : Strong proficiency in LangChain for agentic task orchestration and RAG pipelines.
  • MLOps & Deployment : CI / CD for ML pipelines, MLOps tools (MLflow, Azure ML), containerization (Docker / Kubernetes).
  • Cloud & Service Architecture : Knowledge of microservices, scaling strategies, inter-service communication.
  • Programming Languages : Proficiency in Python and C# for enterprise-grade AI solution development.
  • (ref : hirist.tech)

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    Consultant Artificial Intelligence • Delhi, IN

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