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Minfy

Senior AI Developer

Hyderabad · Senior

Older listing - lower visibility likelyVerified listingPosted 134d ago

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64Skills
97Experience

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Skills required

12 listed
Machine LearningFeature EngineeringUser ProfileFeature ExtractionHyperparameter TuningBatch ProcessingCloud StorageModel Monitoring+4 more
Machine LearningFeature EngineeringUser ProfileFeature ExtractionHyperparameter Tuning

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Job description

Job Summary
The Senior AI/ML Engineer is responsible for building, integrating, and operationalizing the machine learning components of the Topic Ranking personalization solution. This role focuses on feature engineering, model enhancement, pipeline development, GenAI integration, deployment, and production-readiness across the training and serving lifecycle.
Key Responsibilities
  • Develop and enhance the ranking model using the existing SharedBottomModel and multi-task learning framework.
  • Engineer user-level behavioral features from ordering and interaction data.
  • Integrate GenAI-generated user profile features and embeddings into model training and inference workflows.
  • Build and adapt ETL pipelines for feature extraction, transformation, and profile generation.
  • Implement projection layers, gating mechanisms, and preprocessing logic for embedding-based features.
  • Execute model training, offline validation, and hyperparameter optimization workflows.
  • Apply techniques such as inverse propensity scoring to address ranking bias.
  • Deploy trained models to SageMaker endpoints and validate integration with the serving platform.
  • Support shadow-mode validation, monitoring, model drift awareness, and operational readiness.
  • Produce technical documentation and runbooks for deployment, retraining, and support handoff.
Required Skills
  • Strong hands-on experience in machine learning engineering and production ML deployment.
  • Proficiency in Python, PySpark, and ML pipeline development.
  • Experience with Amazon SageMaker for training, tuning, batch processing, and endpoint deployment.
  • Familiarity with feature engineering for recommendation or ranking systems.
  • Strong understanding of embeddings, model integration patterns, and model-serving considerations.
  • Experience working with distributed data pipelines, cloud storage, and production data environments.
  • Ability to troubleshoot end-to-end ML workflows across data preparation, training, deployment, and monitoring.
Preferred Qualifications
  • Experience integrating GenAI or LLM-generated outputs into downstream ML systems.
  • Familiarity with feature stores, batch inference pipelines, and retraining orchestration.
  • Experience supporting online experimentation or shadow deployments in production systems.
  • Exposure to operational monitoring tools such as CloudWatch or model monitoring solutions.
  • Prior experience in personalization, marketplace platforms, or consumer recommendation products.

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Two ways in

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

Your match scoreFree · sign in
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.

Always free · 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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