Infinite Uptime uses advanced predictive maintenance analytics and interconnected data to surface actionable insights. These insights empower intelligent, data-driven decisions, driving continuous improvement and optimizing performance with our predictive maintenance solutions.
We are looking for a highly adaptable and hands-on Data Scientist with at least 2 years of experience in machine learning (ML), deep learning (DL), and software development. Prior experience in predictive maintenance or working with sensor/time-series data in industrial or manufacturing environments is highly desirable. The ideal candidate should be able to understand equipment behaviour and domain-specific structures, work seamlessly with APIs, and develop robust Python-based solutions that can be deployed as standalone executables or scalable services.
· Industry & Data Understanding
o Quickly grasp domain-specific challenges and apply ML solutions effectively.
o Work with cross-functional teams to understand business needs and data flows.
· ML Model Development & Implementation
o Build, train, and optimize Machine Learning/Deep Learning models for predictive analytics, anomaly detection, and decision automation.
o Implement end-to-end ML pipelines from data ingestion to deployment.
o Handle large-scale data efficiently and develop automated processing scripts.
o Build robust datasets which includes labelling, dataset cleaning, Feature engineering, Exploratory Data Analysis.
· API & Software Development
o Develop Python-based APIs for model inference and data processing.
o Work with RESTful APIs, integrate third-party services, and automate workflows.
o Convert ML models into deployable, executable files for non-technical users.
· Fast Prototyping & Execution
o Write clean, optimized, and well-documented Python code quickly.
o Build functional proof-of-concept solutions under tight deadlines.
o Adapt to fast-changing business needs and iterate on solutions rapidly.
· Education:
o Bachelor's or master's degree in computer science, Data Science, AI, Machine Learning.
· Technical Skills:
o Strong Python coding skills with experience in fast development cycles (pandas, NumPy etc).
o Knowledge of ML/DL frameworks (scikit-learn, TensorFlow/PyTorch).
o Experience in handling APIs, web scraping, or automating data pipelines.
o Ability to convert ML models into standalone executables or deployable services.
o Hands-on experience with SQL for data extraction and manipulation.
o Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly).
o Knowledge of cloud computing (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus.
· Soft Skills:
o Ability to quickly adapt to new challenges and technologies.
o Strong problem-solving and debugging skills.
o Effective communication skills to work with technical and non-technical teams.
· Practical experience in working with process data to deliver actionable analytics and insights.
· Experience with MLOps tools (MLflow, DVC, GitHub Actions).
· Experience with Scalable AI Model deployment such as ability to build Flink Pipelines.
· Understanding of CI/CD pipelines for ML model deployment.
· Work in a fast-paced, innovation-driven environment.
· Gain hands-on experience with real-world ML & AI challenges.
· Competitive salary, mentorship, and upskilling opportunities.
