“Fynd” Openings for Machine Learning Engineer

Job Role: Machine Learning Engineer

Eligibility: Graduate

Experience: Freshers

Job Location: Mumbai

Company Profile:

Fynd is India’s largest omnichannel platform and multi-platform tech company with expertise in retail tech and products in AI, ML, big data ops, gaming+crypto, image editing and learning space. Founded in 2012 by 3 IIT Bombay alumni: Farooq Adam, Harsh Shah and Sreeraman MG. We are headquartered in Mumbai and have 1000+ brands under management, more than 10k stores and servicing 23k + pin codes.

Responsibilities:

• Work with the team of Business stakeholders and Engineering teams
• Guide Data Engineering team to extract relevant datasets and apply relevant transformations for eCommerce problem statements
• Work independently to perform Data profiling, Exploratory Data Analysis and Data completeness checks to use it well with AI/ML algorithms
• Work with project stack holders to understand the business problems and apply feature engineering to prepare the relevant data signals for model training and model improvement
• Experimenting with SOTA models on various problem statements with LLM models like LLaMa, Falcon, MPT, etc. and following the best practices on fine-tuning & model quantization process
• Implement robust AI/ML pipeline with GCP’s Vertex platform which can perform operations like – Data Cleaning, Data Transformation, Feature Engineering, Model Training at scale, Evaluate and Improvement
• Deploy the AI/ML models to scalable production system with Kubernetes platform
• Monitor and improve the models periodically

Skills:

• Efficient in Python Programming language, Pandas, SQL
• Having knowledge of Statistics, Machine Learning – Regression, Classification and Clustering, Deep Learning – RNN, CNN, Transformers
• Experience working with End to End Machine Learning project Life cycle
• Experience working over one of the ML Frameworks – SKLearn, XGBoost, PyCaret and Deep Learning Frameworks – Tensorflow, PyTorch, Huggingface and Rasa
• Experience working over ML pipelines frameworks for Model training and Model inferencing
• Able to work over data profiling to understand and debug inefficiency of algorithms
• Able to perform exploratory data analysis over datasets to identify the key insights by statistical techniques
• Prior experience of building Recommender System and Search for eCommerce domain would be a plus

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