Job Title: Data Scientist

Location: Remote

Experience: 2+ years

Employment Type: Full-time

About Us

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.

About the Role

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.

Key Responsibilities

· 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.

Required Skills & Qualifications

· 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.

Bonus Skills

· 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.

Why Join Us?

· Work in a fast-paced, innovation-driven environment.

· Gain hands-on experience with real-world ML & AI challenges.

· Competitive salary, mentorship, and upskilling opportunities.