Machine Learning Engineer II

What is Contentstack?

Contentstack is on a mission to deliver the world’s best digital experiences through a fusion of cutting-edge content management, customer data, personalization and AI technology. Iconic brands, such as AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi and Walmart, depend on the platform to rise above the noise in today's crowded digital markets and gain their competitive edge.

Contentstack and its employees are dedicated to the customers and communities they serve. The company is recognized for its unmatched customer care and tradition of giving back globally through the Contentstack Cares program, including proud support of Pledge 1% and Girls Who Code.

 Learn more at www.contentstack.com.

Who Are We?

At Contentstack we are more than colleagues, we are a tribe. Our vision is to pursue equity among our communities, employees, partners, and customers. We are global-diverse yet close; distributed yet connected. We are dreamers and dreammakers who challenge the status quo. We do the right thing, even when no one is watching. We are curious trendspotters and brave trendsetters. Our mission is to make Contentstack indispensable for organizations to tell their stories and to connect with the people they care about through inspiring, modern experiences. We care deeply about our customers and the communities we serve. #OneTeamOneDream. Chalo, let’s go!

What Are We Looking For?
We are seeking an experienced Machine Learning Engineer with 3-5 years of hands-on experience to join our team. The ideal candidate will design, develop, and deploy cutting-edge machine learning solutions, with a strong focus on modern GenAI techniques. You will work at the intersection of traditional ML engineering and emerging generative AI technologies, building scalable systems that leverage both conventional algorithms and state-of-the-art language models.

Key Responsibilities
ML System Development & Deployment
- Design and develop machine learning systems and self-running AI applications for predictive modeling and automation
- Build and optimize ML pipelines for data preprocessing, model training, and deployment using microservices architecture
- Implement and optimize machine learning algorithms using Python, with expertise in frameworks like TensorFlow, PyTorch, and scikit-learn
- Transform data science prototypes into production-ready solutions following SDLC best practices
GenAI & Advanced Techniques
- Develop and implement Retrieval Augmented Generation (RAG) systems for grounding LLM outputs in external data
- Design and optimize prompt engineering strategies to enhance GenAI model performance
- Build multi-modal AI solutions that can process and generate content across text, images, and other data types- Implement advanced RAG techniques including context enrichment, and fusion retrieval
Data Science & Analytics
- Perform statistical analysis and feature engineering to prepare datasets for model training
- Conduct data mining, cleaning, and preprocessing to ensure high-quality training data
- Analyze model performance metrics and implement strategies to improve accuracy and efficiency
Software Engineering & DevOps
- Write robust, maintainable code following software engineering best practices
- Build RESTful APIs and microservices

Technical Skills
Programming & Frameworks
- Advanced proficiency in Python with experience in ML libraries (TensorFlow, PyTorch, Keras, scikit-learn)
- Strong understanding of software development lifecycle (SDLC) and Agile methodologies
- Experience with microservices architecture and RESTful API development
- Proficiency in NoSQL/SQL for data manipulation and retrieval
Machine Learning & Data Science
- Deep understanding of ML algorithms including supervised/unsupervised learning, deep learning, and reinforcement learning
- Experience with data preprocessing, feature engineering, and model optimization techniques
GenAI & Modern Techniques
- Hands-on experience with Large Language Models (LLMs) and transformer architectures
- Proficiency in prompt engineering techniques for optimizing GenAI outputs
- Experience implementing RAG systems using tools like LangChain or LlamaIndex
- Knowledge of multi-modal AI capabilities and cross-modal learning
Cloud & Infrastructure
- Experience with cloud platforms (AWS, GCP, Azure) for ML model deployment
- Knowledge of containerization and orchestration technologies
Preferred Qualifications
- Knowledge of advanced RAG techniques including query transformation and agentic architectures
- Contributions to open-source ML projects
Soft Skills
- Excellent problem-solving and analytical thinking abilities
- Strong communication skills to explain complex ML concepts to non-technical stakeholders
- Ability to work collaboratively in cross-functional teams
- Self-motivated with a passion for continuous learning in the rapidly evolving AI landscape

Education & Experience
- Bachelor's degree in Computer Science, Data Science, Mathematics, or related field

Location - Chennai (Hybrid)
Experience - 3 to 5 Years

 

What Do We Offer?

Interesting Work | We hire curious trendspotters and brave trendsetters. This is NOT your boring, routine, cushy, rest-and-vest corporate job. This is the “challenge yourself” role where you learn something new every day, never stop growing, and have fun while you’re doing it. 

Tribe Vibe | We are more than colleagues, we are a tribe. We have a strict “no a**hole policy” and enforce it diligently. This means we spend time together - with spontaneous office happy hours, organized outings, and community volunteer opportunities. We are a diverse and distributed team, but we like to stay connected.

Bragging Rights | We are dreamers and dream makers. Our efforts pay off and we work with the most prestigious brands, from big-name retailers to airlines, to professional sports teams. Your contribution will make an impact with many of the most recognizable names in almost every industry including AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi, Walmart, and many more!

One Team One Dream | This is one of our values, and it shows. We don’t believe in artificial hierarchies. If you’re part of the tribe, you have an opportunity to contribute. Your voice will be heard and you will also receive regular updates about the business and its performance. Which, btw, is through the roof, so it’s a great time to be joining…

 

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