Machine Learning Engineer

at Enjoy Wishlist India Pvt Ltd

Machine Learning Engineer

Enjoy Wishlist India Pvt Ltd

Company

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Machine Learning Engineer

at Enjoy Wishlist India Pvt Ltd

Posted by Deepti Dalakoti

2.5 - 5 yrs

₹15L - ₹26L / yr

Delhi

Skills

Natural Language Processing (NLP)

KNN

Python

Data Science

Wishlist’s mission is to amplify company performance by igniting the power of people. We understand that companies don’t build a business, they build people, and the people build the business. Our rewards and recognition platform takes human psychology, digitizes it, and then connects people to business performance.

We accomplish our mission through our values:

Build the House
Be Memorable
Win Together
Seek Solutions

We are looking for a talented and experienced machine learning engineer to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data as well as a deep understanding of data science and software engineering principles.

Responsibilities -

Design, develop, and optimize recommendation systems, leveraging content-based, collaborative, and hybrid filtering techniques.
Conduct end-to-end development of recommendation algorithms, from prototyping and experimentation to deployment and monitoring.
Build and maintain data pipelines to support real-time and batch recommendation use cases.
Implement KNN search, cosine similarity, semantic search, and other relevant techniques to improve recommendation accuracy.
Utilize A/B testing and other experimental methods to validate the performance of recommendation models.
Collaborate with cross-functional teams, including product managers, engineers, and designers, to define recommendation requirements and ensure effective integration.
Monitor, troubleshoot, and improve recommendation models to ensure optimal system performance and scalability.
Document models, experiments, and analysis results clearly and comprehensively.
Stay up-to-date with the latest ML/AI and Gen AI trends, techniques, and tools, bringing innovative ideas to enhance our platform and improve the customer experience.

Required Skills -

3+ years of experience in building recommendation systems, with a strong understanding of content-based, collaborative filtering, and hybrid approaches.
Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
Strong knowledge of machine learning techniques, statistics, and algorithms related to recommendations.
Proficiency in Python, R, or similar programming languages.
Hands-on experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
Experience with KNN search, cosine similarity, semantic search, and other similarity measures.
Familiarity with NLP techniques and libraries (e.g., spaCy, Hugging Face) to improve content-based recommendations.
Hands-on experience deploying recommendation systems on cloud platforms like AWS, GCP, or Azure.
Experience with MLflow or similar tools for model tracking and lifecycle management.
Excellent problem-solving abilities and experience in data-driven experimentation and A/B testing.
Strong communication skills and ability to work effectively in a collaborative team environment.

Benefits -

Competitive salary as per the market standard.
Directly work with the Executive Leadership.
Join a great workplace & culture.
Company-paid medical insurance for you and your family.

We accomplish our mission through our values:

Build the House
Be Memorable
Win Together
Seek Solutions

Responsibilities -

Design, develop, and optimize recommendation systems, leveraging content-based, collaborative, and hybrid filtering techniques.
Conduct end-to-end development of recommendation algorithms, from prototyping and experimentation to deployment and monitoring.
Build and maintain data pipelines to support real-time and batch recommendation use cases.
Implement KNN search, cosine similarity, semantic search, and other relevant techniques to improve recommendation accuracy.
Utilize A/B testing and other experimental methods to validate the performance of recommendation models.
Collaborate with cross-functional teams, including product managers, engineers, and designers, to define recommendation requirements and ensure effective integration.
Monitor, troubleshoot, and improve recommendation models to ensure optimal system performance and scalability.
Document models, experiments, and analysis results clearly and comprehensively.
Stay up-to-date with the latest ML/AI and Gen AI trends, techniques, and tools, bringing innovative ideas to enhance our platform and improve the customer experience.

Required Skills -

3+ years of experience in building recommendation systems, with a strong understanding of content-based, collaborative filtering, and hybrid approaches.
Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
Strong knowledge of machine learning techniques, statistics, and algorithms related to recommendations.
Proficiency in Python, R, or similar programming languages.
Hands-on experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
Experience with KNN search, cosine similarity, semantic search, and other similarity measures.
Familiarity with NLP techniques and libraries (e.g., spaCy, Hugging Face) to improve content-based recommendations.
Hands-on experience deploying recommendation systems on cloud platforms like AWS, GCP, or Azure.
Experience with MLflow or similar tools for model tracking and lifecycle management.
Excellent problem-solving abilities and experience in data-driven experimentation and A/B testing.
Strong communication skills and ability to work effectively in a collaborative team environment.

Benefits -

Competitive salary as per the market standard.
Directly work with the Executive Leadership.
Join a great workplace & culture.
Company-paid medical insurance for you and your family.

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About Enjoy Wishlist India Pvt Ltd

Founded :

2012

Type :

Product

Size :

20-100

Stage :

Profitable

About

Wishlist helps companies recognize and reward their employees through meaningful employee recognition and memorable rewards. We help modern HR teams create an inclusive company culture and give employees one centralized platform to recognize individual and team contributions driving key business results. The Wishlist platform allows organizational leaders to recognize and reward employees using a top-down recognition strategy while allowing peers to recognize each other using a peer-to-peer approach to align with your company's core values. The Wishlist platform can be used to reward employees for exceptional performance, birthdays, work anniversaries, or a variety of other life events. Our mission at Wishlist is to amplify company performance through igniting the power of people. We've spent the last decade developing an experiential rewards marketplace to give your employees the power of choice. From experiences to subscription boxes, we have it all! Let Wishlist help you create a cohesive company culture driven by employee recognition and rewards.

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