Junior Machine Learning Engineer

• Research design and implement stateoftheart machine learning algorithms with a focus on Large Language Models (LLM) to solve complex problems in Finance and Healthcare.
• Collaborate with crossfunctional teams including data scientists software engineers and domain experts to gather requirements prototype solutions and integrate machine learning models into production systems.
• Experience using LLM models like Llama 2 Mixtral Gemini Vicuna or similar models for solving Language Image and audiobased problems.
• Utilize advanced natural language processing (NLP) techniques to extract insights classify data and generate meaningful predictions from unstructured text data.
• Develop scalable and efficient machine learning pipelines for data preprocessing feature engineering model training and evaluation using tools such as TensorFlow PyTorch or similar frameworks.
• Optimize model performance scalability efficiency efficacy accuracy and reliability through experimentation hyperparameter tuning and deployment of best practices in machine learning engineering.
• Stay updated of the latest advancements in machine learning particularly in the field of Large Language Models (LLM) and evaluate their potential impact on our projects and products.

• Bachelors or Masters degree in Computer Science Engineering Mathematics Statistics or related field.
• 14 years of professional experience in machine learning engineering with a strong focus on Large Language Models (LLM).
• Experience working with cloudbased machine learning platforms (e.g. AWS Google Cloud Platform Azure).
• Proficiency in programming languages like Python R or Java. and experience with machine learning libraries and frameworks (e.g. TensorFlow PyTorch).
• Solid understanding of natural language processing (NLP) techniques including word embeddings sequence modeling and attention mechanisms.
• Experience with training and deploying deep learning models in production environments with a strong emphasis on scalability performance and reliability.
• Familiarity with distributed computing frameworks (e.g. Apache Spark) and big data technologies.
• Previous experience in Finance Healthcare or related domains.
• Strong problemsolving skills and ability to thrive in a fastpaced collaborative environment.
• Excellent communication skills with the ability to effectively articulate technical concepts to both technical and nontechnical stakeholders.

machine learning,healthcare,cloud,language processing,data,python