Machine Learning Engineer

We are seeking a Machine Learning Engineer to design and implement robust Machine Learning applications that drive innovation and business insights. You will collaborate closely with data scientists, software engineers, and product managers to integrate ML capabilities into our products and services, ensuring high performance and scalability. Strong Python programming skills is essential, must have prior experience working on GCP and Vertex AI, as well as working with BigQuery and NoSQL databases like MongoDB.

**Please pay attention to the education needed. This position does not need to be super senior. They just need to be real, have good communication and have to skills needed., Python (MUST be very strong with python) -LLMS/ Rag -ML/ SDE lifecycle knowledge/ experience -Vertex AI experience -SQL (need to have experience but python is more important) -solid engineering experience like being able to build an API from scratch, etc., · Proven experience as a Machine Learning Engineer (3 years) performing: Experience in software engineering with exposure to data models and GenAI applications; Hands-on experience with model evaluation, performance tracking, and automation; Familiarity with GenAI frameworks (LangChain, Hugging Face, etc.) and vector databases for RAG; and Understanding of machine learning fundamentals to integrate and monitor models effectively. · Proficiency in Python programming language · Experience with RDBMS & NoSQL databases (e.g., MongoDB, BigQuery) · Experience with data preprocessing, feature engineering, and model evaluation · Experience with cloud platforms (Google Cloud, Azure) · Understanding of machine learning concepts and workflows, · Experience/knowledge of agentic workflows · Familiarity with Vertex AI & Azure OpenAI · Experience working with LLMs and RAGs · Knowledge of natural language processing (NLP) · Familiarity with big data technologies (Apache Spark, Ray, Dark) · Experience with streaming data technologies (e.g., Apache Kafka, PubSub) · Familiarity with version control systems (e.g., Git) · Strong problem-solving skills and attention to detail · Ability to work collaboratively in a team environment

Education · Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field · Relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) are a plus