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Wishtree Technologies

AI / ML Architect (Contractual)

Ahmedabad · Mid Level

Older listing - lower visibility likelyVerified listingPosted 94d ago

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Your match scoreCalculated · locked
86Overall
64Skills
97Experience

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What we know about this role

Hiring pulse

LOW

Wishtree Technologies is showing limited hiring activity lately. Expect slight delayed response.

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First 72 hours

Window passed - posted 94d ago

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Not a repost

The first time we've seen this listing - it hasn't been closed and reopened.

Skills required

32 listed
Retrieval-Augmented Generation (RAG)Large Language Models (LLMs)CI/CDVector DatabaseAWS SageMakerAzure OpenAI ServiceGoogle Vertex AIMachine Learning+24 more
Retrieval-Augmented Generation (RAG)Large Language Models (LLMs)CI/CDVector DatabaseAWS SageMaker

You almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.

Job description

Key Responsibilities
• Contribute to responsible AI practices, model evaluation, and observability/monitoring for the systems you own.
• Work closely with engineering, product, and data science teams to translate business requirements into working AI features.
• Guide and review the work of junior AI engineers; set coding, testing, and deployment standards within the team.
• Track developments in foundation models, multi-modal AI, and emerging GenAI techniques, and apply them to product improvements.
• Take proof-of-concept (PoC) projects through to production-grade deployments with a focus on latency, cost, and reliability.
• Ensure AI systems comply with data privacy regulations (GDPR, DPDP) and internal security policies.

Required Qualifications
• 5+ years of overall software/ML engineering experience, with at least 2 years hands-on in Generative AI and Machine Learning in a production environment.
• Strong proficiency in Python and ML frameworks: PyTorch, TensorFlow, Hugging Face Transformers.
• Proven experience building and deploying LLM-based applications (prompt engineering, fine-tuning, RLHF).
• Strong working knowledge of RAG architectures, embedding models, and vector databases.
• Experience with cloud platforms (AWS, Azure, or GCP) and containerisation (Docker, Kubernetes).
• Solid understanding of MLOps practices: CI/CD for ML, model versioning, monitoring, and drift detection.
• Hands-on experience with orchestration frameworks such as LangChain, LlamaIndex, or AutoGen.
• Good system design skills with the ability to build scalable, fault-tolerant AI services.
• Strong communication skills, with the ability to explain technical trade-offs to non-technical stakeholders.
• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field (or equivalent practical experience).

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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreCalculated · locked
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

No credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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