Machine Learning Engineer

Company Overview:

Neutrinos: A fast-growing global provider of SaaS-based enterprise low code application development platform. Started in 2015, headquartered in Singapore, we are currently present in S Africa, Singapore, Australia and India with a headcount of 130 team members. Globally recognized among top 18 Voice of Customer Award by Gartner recently. Log on to: https://goneutrinos.com/

Roles and Responsibilities:

• Fundamental knowledge of supervised and unsupervised learning and their applications in real world business scenarios.
• Familiarity with End-2-End Machine Learning model development life cycle.
• Experience in creating data processing pipelines and API development (FastAPI).
• Experience with deploying and maintaining ML/DL models in production, model monitoring, and knowledge of concept/data drift, model reproducibility, code, model, and data versioning.
• Experience with SQL and NoSQL, MLflow, GitHub, Docker, Kubernetes, ELK, or similar stack.
• Hands on with text and image processing: cleaning, transformations, and data preparation for modelling. Should be comfortable with libraries like Pandas, NumPy, OpenCV, PIL, spaCy, transformers etc.
• Should have working knowledge of machine learning frameworks like Scikit-learn, PyTorch/TensorFlow/Keras.
• Experience with cloud computing platforms like GCP and AWS.
• Should understand LLMs, OpenAI API, model fine-tuning and prompt engineering.
• Exposure to CI/CD principles and associated tools.

Good to have:

• Experience with deep learning frameworks
• Strong experience in programming and statistics
• Excellent verbal and written communication skills
• Highly developed attention to detail
• Strong presentation skills
• Ability to work well in a team environment
• Excellent problem-solving skill