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We're Hiring : AI / ML Engineer – Recommendation Systems & Moderation (Next-Gen Social Networking Platf

We're Hiring : AI / ML Engineer – Recommendation Systems & Moderation (Next-Gen Social Networking Platf

Emilo Ventures Private LimitedRaipur, Uttarakhand, India
8 days ago
Job description

Company Description

Emilo is a social media startup revolutionizing digital connections. We blend creativity, community, and AI-driven technology to enhance user engagement and content sharing. Our platform empowers individuals and businesses to connect, grow, and thrive in the ever-evolving digital landscape. Join us in shaping the future of social networking!

Job Brief (About the Role) We’re building the next-generation Social Networking Platform – and we need a highly skilled AI / ML Engineer to design, develop, and deploy cutting-edge AI solutions. You will work on high impact projects personalized feed ranking, AI powered moderation, NLP driven content understanding, and fraud / spam detection – powering, engaging, safe and scalable user experiences.

Key Responsibilities

  • Build & Optimize large scale recommendation systems for personalized content feeds.
  • Develop AI Moderation Tools to detect spam, harmful content, and fake accounts in real time.
  • Implement NLP Models for sentiment analysis, content tagging, and automated moderation.
  • Create Computer Vision Solutions for image / video classification and object detection.
  • Analyze Massive Datasets to uncover actionable product and user insights.
  • Deploy & Maintain ML models in production with low-latency, high availability APIs
  • Continuously Improve models through monitoring, A / B testing, and retraining.
  • Collaborate with backend and product teams to integrate AI seamlessly into the platform.

Required Skills & Experience

  • 2+ years in AI / ML engineering, preferably in social media, e-commerce, or other content-based platforms.
  • Proven expertise in recommendation systems, NLP , or computer vision .
  • Proficiency in Python and ML Frameworks ( TensorFlow, PyTorch, Scikit-learn ).
  • Experience deploying models to production ( APIs, Docker, Kubernetes ).
  • Knowledge of deep learning architectures ( CNNs, RNNs, Transformers ).
  • Familiarity with cloud platforms ( AWS, GCP, Azure ) and MLOps practices.
  • Preferred Skills

  • Experience with big data tools ( Spark, Hadoop ).
  • Understanding of ethical AI, bias mitigation, and explainable AI techniques.
  • Exposure to large-scale, real time inference systems.
  • Education

  • Bachelor’s in Computer Science, AI, Data Science, or related field (Master’s / PhD preferred) .
  • Why Join Us

  • Build AI that powers a platform design for millions of users.
  • Work on socially impactful projects balancing engagement and safety.
  • Be a part of a fast-paced, innovation-driven culture with end-to-end ownership of AI features.
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    System Engineer • Raipur, Uttarakhand, India

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