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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