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Two95 International Inc.

Senior AI/ML Engineer- 7 years

Bengaluru · Staff/Principal

Good timing - competition is buildingVerified listingPosted 17d ago

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86Overall
64Skills
97Experience

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What we know about this role

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Two95 International Inc. is actively reviewing profiles and moving candidates through the pipeline right now.

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Window passed - posted 17d ago

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Reposted role

This role was posted earlier, closed, and has now reopened - the company is accepting candidates again.

First posted Jun 5, 2026

Skills required

36 listed
Retrieval-Augmented Generation (RAG)Large Language Models (LLMs)CI/CDArtificial IntelligenceMachine LearningDeep LearningPredictive AnalyticsData Preprocessing+28 more
Retrieval-Augmented Generation (RAG)Large Language Models (LLMs)CI/CDArtificial IntelligenceMachine Learning

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Job description

Senior AI/ML Engineer- 7 years

Two95 International Inc. · Bengaluru, India · — · Posted 2026-06-05

Workplace: on_site

Department: Information Technology

Description

We are looking for a skilled AI/ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong experience in machine learning, deep learning, Generative AI, MLOps, and cloud platforms such as AWS or Azure. The role involves working closely with Data Scientists, Data Engineers, and business stakeholders to build innovative AI-driven products and solutions.

Key Responsibilities:

  • Develop, train, evaluate, and deploy machine learning models for various business use cases.
  • Build predictive analytics, recommendation systems, forecasting models, and anomaly detection solutions.
  • Design and implement Generative AI applications using Large Language Models (LLMs).
  • Develop Retrieval-Augmented Generation (RAG) solutions and AI-powered chatbots.
  • Perform data preprocessing, feature engineering, model tuning, and performance optimization.
  • Build scalable data pipelines for AI and ML workloads.
  • Deploy and manage machine learning models in production environments.
  • Implement MLOps best practices, including model monitoring, versioning, and CI/CD automation.
  • Collaborate with cross-functional teams to gather requirements and deliver AI solutions.
  • Ensure model reliability, scalability, security, and compliance with organizational standards.

Required Skills:

  • Python, SQL
  • Machine Learning and Deep Learning
  • TensorFlow, PyTorch, Scikit-Learn
  • Generative AI, LLMs, Prompt Engineering
  • LangChain, LlamaIndex, RAG
  • Apache Spark / PySpark
  • Docker, Kubernetes
  • MLflow, Kubeflow
  • AWS or Azure Cloud
  • Git, CI/CD Pipelines

Preferred Skills:

  • Experience with OpenAI, Llama, Claude, or similar LLMs
  • Vector Databases (Pinecone, ChromaDB, Weaviate, FAISS)
  • MLOps and Model Monitoring
  • Data Engineering and ETL Pipelines
  • AI Governance and Responsible AI

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • 5+ years of experience in AI/ML development and deployment.
  • Experience building and deploying production-grade AI solutions.

Soft Skills:

  • Strong analytical and problem-solving abilities.
  • Excellent communication and stakeholder management skills.
  • Ability to work independently and in a collaborative environment.
  • Strong ownership mindset and attention to detail.

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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

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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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