Senior Software Engineer
4 weeks ago
Velotio Technologies is a product engineering company that collaborates with innovative startups and enterprises. Our team provides full-stack product development for various clients across the globe, focusing on cloud-native, data engineering, B2B SaaS, IoT, and Machine Learning solutions. With a team of 400+ elite software engineers, we solve complex technical problems and transform customer ideas into successful products.
Key Responsibilities
We're seeking a skilled software engineer to join our team. Key responsibilities include designing, developing, and maintaining cutting-edge AI solutions using Generative AI and Machine Learning. The ideal candidate will have extensive experience in algorithms and statistics, as well as expertise in natural language processing, machine learning, deep learning, and data mining. Additionally, the candidate should demonstrate deep knowledge and ability to operationalize and integrate leading machine learning and data technologies, implementing best practices.
Desired Skills and Experience
The successful candidate will have 3+ years of experience in software engineering, preferably with a Bachelor's degree in Computer Science or equivalent experience. The candidate should have good experience in building REST APIs/GraphQL and/or interfaces using Python frameworks such as FastAPI, Flask, Django, etc. Furthermore, experience in building LLM applications using LLMOps tools such as Langchain and LlamaIndex, or NLP-related toolchains (SpaCy, HuggingFace, NLTK, etc.) is required. Knowledge of Python libraries like Pandas, Scikit-Learn, Numpy, NLTK, Spacy, and Scipy is also necessary. The candidate should have experience with machine learning libraries and services like TensorFlow, PyTorch, or Amazon SageMaker, as well as experience building scalable data models and performing complex relational database queries using SQL (MySQL, PostgreSQL), etc. Additionally, the candidate should have knowledge of Machine learning models and techniques like LLM, NLP, BERT, Transformers, and Deep learning. Experience working with/training/hosting LLMs and LLMOps tools is also required. Finally, experience in at least one cloud platform (AWS, GCP, or Azure) and a solid foundation in data structures, algorithms, distributed systems, and design patterns are necessary.
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