Back
Medium due to strong employer brand, metro location, and mid-level title despite niche ML/LLM specialization.
Medium because ML engineering skills transfer broadly, though life-sciences/GPS experience is preferred.
High due to explicit 5–7 years requirement and mandatory ML/LLM, cloud, and containerization skills.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and implement machine learning models and AI algorithms, including Retrieval-Augmented Generation (RAG) and vector embeddings for semantic search and recommendation systems.
Integrate and fine-tune large language models (LLMs) like ChatGPT to create conversational AI solutions and automate customer support.
Provide technical leadership by mentoring junior engineers, conducting code reviews, and maintaining AI/ML model documentation.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field mandatory.
5-7 years of software engineering experience focusing on AI and machine learning.
Proficient in Python and JS/React; experience with ML frameworks like TensorFlow, PyTorch, scikit-learn.
Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes).
Experienced delivering AI/ML solutions using Agentic Design Patterns and frameworks such as Bedrock, Crew AI, Langsmith, Agnos, or Autogen.
Comfortable working with large datasets, performing data preprocessing, feature engineering, and deploying models in production with a focus on scalability and robustness.
Has experience working within globally distributed teams, preferably in life sciences or GPS functional area, and capable of mentoring and technical leadership.