Fynd Hiring for Machine Learning Engineer | Fynd Recruitment Drive |

Description:

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 three IIT Bombay alumni: Farooq Adam, Harsh Shah, and Sreeraman MG, Fynd is headquartered in Mumbai and manages 1000+ brands, over 10k stores, and services 23k+ pin codes.

Role & responsibilities:

As a machine learning engineer, you will:

• Implement the full lifecycle from requirements analysis, platform selection, technical architecture design, application design, development, testing, and deployment.
• Be responsible for the end-to-end deployment of predictive models, including scoping, testing, implementation, maintenance, tracking, and optimization.
• Develop and maintain data streaming pipelines for both batch and real-time data integration.
• Experiment with state-of-the-art models, fine-tuning them for various problem statements, and ensuring model robustness and scalability.
• Implement robust AI/ML pipelines for operations like data cleaning, transformation, and model training at scale.
• Collaborate with project stakeholders to understand business problems, perform data profiling and exploratory data analysis, and apply feature engineering techniques to prepare data for model training and improvement.
• Deploy AI/ML models to scalable production systems, leveraging Kubernetes for efficient management and scaling of model deployments.
• Accelerate model inference using various compression tools like ONNX, Torchscript, TensorRT, OpenVINO, etc.
• Monitor deployed models and implement periodic improvements to enhance performance and maintain relevance.
• Ensure complete and accurate documentation of all development activities related to machine learning engineering.
• Provide best practices recommendations and technical presentations on machine learning deployment.

Specific Requirements:

• 2+ years of experience in implementing and deploying machine learning and deep learning frameworks on cloud platforms like AWS and GCP.
• Proficiency in Python programming and experience with one of the ML frameworks (SKLearn, XGBoost, PyCaret) and deep learning frameworks (TensorFlow, PyTorch, Huggingface, Rasa).
• Knowledge of statistics, machine learning (regression, classification, clustering), and deep learning (RNN, CNN, transformers).
• Strong understanding of data structures, algorithms, and experience with Python, Java, Scala, and Unix bash scripting.
• Experience working with the end-to-end machine learning project lifecycle.
• Familiarity with ML pipeline frameworks for model training and inference.
• Ability to perform data profiling, exploratory data analysis, and debugging of algorithm inefficiencies.

What do we offer?

Growth:

• An environment that encourages creativity and embraces challenges.
• Opportunities to learn and grow, fostering leadership qualities.
• New product lines and international market expansion.

Flex University:

• In-house courses on important subjects for upskilling.
• Reimbursement for external courses to grow and upskill.

Culture:

• Community and team-building activities.
• Weekly, quarterly, and annual events and parties.

Wellness:

• Mediclaim policy for you, your parents, your spouse, and your kids.
• Experienced therapist for better mental health, improved productivity, and work-life balance.
• Free meals, snacks, goodies, and a fun culture.
• Work five days from the office, ensuring all necessary support is provided.