Software Engineer - Gen AI

March 19

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Velotio Technologies

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Product Engineering & Digital Solutions Partner for Innovative Startups and Enterprises

DevOps • Outsourced Product Engineering • Machine Learning • Infrastructure Automation • Software Engineering

201 - 500

Description

• Design, develop, and maintain cutting-edge AI solutions using Generative AI and Machine Learning • Extensive experience in algorithms, statistics, and technologies like NLP, deep learning, data mining • Building full-stack web applications, utilizing Python for ML models • Integrating applications with internal and third-party API services • 6+ years of experience in Computer Science or equivalent • Good experience with Python frameworks like FastAPI, Flask, Django • Building LLM applications and working with LLMOps tools • Utilizing Python libraries like Pandas, Scikit-Learn, Numpy • Familiarity with machine learning libraries like TensorFlow, PyTorch • Building scalable data models, complex database queries using SQL • Knowledge of LLM, NLP, BERT, Transformers, Deep learning techniques • Working with cloud platforms (AWS, GCP, Azure) • Understanding of data structures, algorithms, design patterns • Strong software engineering practices, unit testing, code reviews, debugging • Passion for technology, eagerness to learn, excellent communication skills

Requirements

• Bachelor’s degree in Computer Science or equivalent • 6+ years of experience • Experience with REST APIs/GraphQL, Python frameworks • Knowledge of Python libraries like Pandas, Scikit-Learn, Numpy, NLTK, Spacy • Experience with TensorFlow, PyTorch, Amazon SageMaker • Experience with SQL databases (MySQL, PostgreSQL) • Knowledge of machine learning models like LLM, NLP, BERT, Transformers • Experience with cloud platforms (AWS, GCP, Azure) • Strong foundation in data structures, algorithms, distributed systems, design patterns

Benefits

• Autonomous and empowered work culture encouraging ownership • Flat hierarchy with fast decision making • Fun and positive work environment with celebrations • Inclusive, diverse, and authentic workplace • Remote interview and onboarding processes