Machine learning engineer

4 weeks ago

New Delhi, India Rooter.gg Full time
Role: Machine Learning Engineer
Location: New Delhi (East of Kailash)
Experience: 4 - 6 Years
Must have: Experience in Content Personalization & Computer Vision
What are we looking for?
You should be highly motivated and have a self-starter approach to help understand and build predictable systems across various funnels and support, create and deploy machine learning models. Experience in working with scalable recommendation systems is required.
Responsibilities:
Building highly scalable and robust recommendation systems for personalizing the user experience
Building scalable real time infrastructure for extracting actionable information from media including videos and images
Improving user metrics by building features using latest ML and Gen AI offerings
Develop ML Ops processes to support training and deployment of models based on Dev Ops and CI/CD principles
Partner with Data Scientists to test, validate and deploy Machine Learning and Optimization models
Establish processes by which models can be trained, retrained and fine tuned
Debugging the models based on the evaluation
Requirements:
Experience in building/deploying real-world Machine Learning/Deep learning applications
Experience with or exposure to: Classical ML, Deep Learning algorithm techniques, open source tools and technologies, programming environments such as Python, SQL, Py Spark, bash scripting
Experience with various models that support Recommendation systems like Content-based filtering and Collaborative filtering
Experience with libraries like Scikit-Learn and Pandas
Experience with Big Data platforms such as Hadoop, Hive, Spark, parquet format, Hudi
Experience in working with AWS services ecosystem (EC2, S3, SNS etc)
Experience in Data Cleaning, Feature enhancements, MLOps for logging, evaluation of the models in shadow and live mode
Experience with tree based ML algorithms and clustering algorithms (XGBoost, GBT, RF, Bi-KMeans, DBScan)
Experience with NLP techniques such as TFIDF, using Hugging Face Embeddings and working with vector-DB
Good to Have:
Experience with AWS EMR
Knowledge of MLFlow/Kube Flow basics
Experience with using Streamlit for dashboarding, SQL, AWS Athena
Experience with Redis, Mongodb
Experience with Reinforcement learning
Qualification: B. Tech. Degree in Computer Science, Artificial Intelligence or related field
Interview Process:
1) Basic Screening Round by HR Team
2) Technical Knowledge Round(s)
3) HR Head Round
4) Co-Founder's Round (In- Office)
5) Founder's Round
Employee Benefits:
Health Insurance: We offer comprehensive health insurance coverage to ensure our employees have access to quality healthcare when they need it most.
Gratuity: We believe in recognizing the hard work and dedication of our employees. That's why we provide gratuity benefits to show our appreciation for their contributions.
Hybrid Work Model: Embracing flexibility, we offer a hybrid work model where employees can enjoy the best of both worlds. With four days in the office and one day working from home, we empower our team to achieve work-life balance while maintaining productivity and collaboration.
About Rooter
++ : Rooter has transformed from being a Live Streaming Platform hosting India’s largest community of 85 Mn+ gamers and 1.5 Mn+ creators, a strong partner for brands and publishers to connect with Gamers, to now also offering a marketplace called ‘Rooter Shop’ for digital gaming currencies. Rooter Shop is the result of our belief in the propensity of Indian gamers to spend online on games, accessories and other digital assets.
Our unique proposition as a tech consumer platform sitting at the convergence of 3 large macro trends - gaming, content and commerce, gives us immense confidence to say that we’re here for the long haul, building an enduring Gaming brand out of India.
Website: In: out our Product :

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