DevOps • Outsourced Product Engineering • Machine Learning • Infrastructure Automation • Software Engineering
December 6
AWS
Azure
Cloud
Distributed Systems
Django
Flask
Google Cloud Platform
GraphQL
IoT
MySQL
Numpy
Pandas
Postgres
Python
PyTorch
Scikit-Learn
SQL
Tensorflow
Go
DevOps • Outsourced Product Engineering • Machine Learning • Infrastructure Automation • Software Engineering
• Velotio Technologies is a product engineering company working with innovative startups and enterprises. • We have provided full-stack product development for 110+ startups across the globe. • Our team of 400+ elite software engineers solve hard technical problems while transforming customer ideas into successful products.
• Design, develop, and maintain cutting-edge AI solutions using Generative AI and Machine Learning. • Should have extensive experience in algorithms and statistics and expertise in natural language processing, machine learning, deep learning, and data mining. • Demonstrate deep knowledge and ability to operationalize and integrating leading machine learning and data technologies implementing best practices. • Should have extensive experience with web technologies and building full-stack web applications. • Developing and promoting machine learning models for tasks, as well as building and training working versions of those models using Python. • Design, implement, and integrate applications with internal and third-party API services. • Should have 3+ years of experience preferably a Bachelor’s degree in Computer Science or equivalent experience. • Good experience in building REST APIs/GraphQL and/or interfaces using Python frameworks such as FastAPI, Flask, Django, etc. • Experience building LLM applications using LLMOps tools such as Langchain and LlamaIndex, or NLP-related toolchains (SpaCy, HuggingFace, NLTK, etc.) • Knowledge of Python libraries like Pandas, Scikit-Learn, Numpy, NLTK, Spacy and Scipy is required. • Experience with machine learning libraries and services like TensorFlow, PyTorch, or Amazon SageMaker. • Experience building scalable data models and performing complex relational database queries using SQL (MySQL, PostgreSQL), etc. • Knowledge of Machine learning models and techniques like LLM, NLP, BERT, Transformers, and Deep learning. • Experience working with/training/hosting LLMs and LLMOps tools. • Experience in at least one cloud platform (AWS, GCP, or Azure). • Solid foundation in data structures, algorithms, distributed systems, and design patterns. • Strong understanding of software engineering best practices, including unit testing, code reviews, design documentation, debugging, troubleshooting, and agile development. • Should be Passionate for technology and eager to learn new trends. • Excellent communication skills with business stakeholders and team members.
• We have an autonomous and empowered work culture encouraging individuals to take ownership and grow quickly. • Flat hierarchy with fast decision making and a startup-oriented “get things done” culture. • A strong, fun & positive environment with regular celebrations of our success. We pride ourselves in creating an inclusive, diverse & authentic environment.
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