We're Hiring: AI/ML Engineer – Recommendation Systems

2 days ago

Raipur, India Emilo Ventures Private Limited Full time
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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