Nanoprecise Sci Corp is an automated AI-based predictive maintenance solution provider that facilitates early detection of even small changes in machine operations well before they impact production or cause downtime. Nanoprecise specializes in the implementation of Artificial Intelligence and IIoT technology for predictive asset maintenance and reducing the carbon footprint of manufacturing plants. We are defining the industry’s service standard for the monitoring & analytics of all types of industrial machines, through our leading energy efficiency & health analytics platform for industrial assets. We work with companies across various sectors to help drive their Industry 4.0 journey.Know more about us here of the roleWe are an AI-based SaaS company that specializes in providing innovative solutions for the Industrial sectors. We are actively searching for a talented and experienced Machine Learning (ML) Engineer to join our team.The ML Engineer we are seeking is someone who thrives on rapid experimentation, development and leverages cutting-edge AI tools to solve complex sensor analytics challenges. You will work on fast-paced projects, iterating quickly on ideas, and developing innovative machine learning solutions to extract actionable insights from vast sensor data. The successful candidate will work closely with data scientists, software engineers, and other stakeholders to ensure that machine learning models are deployed, monitored, and updated efficiently and effectively.ResponsibilitiesDevelop and improve models that are responsible for the condition monitoring of industrial rotating equipment.Develop pipelines and workflows to test new strategies on production data.Generate synthetic benchmarking sets to perform supervised learning and benchmarking of existing systems.Rapid Prototyping: Develop, test, and iterate on prototypes quickly using modern AI and machine learning frameworks.Tool Integration: Identify and integrate state-of-the-art tools and platforms to streamline development cycles.Data-Driven Innovation: Leverage big data technologies to process and analyze large-scale sensor data.Cross-Functional Collaboration: Work closely with the rest of R&D team, product, and other engineering teams to conceptualize and implement solutions that drive product innovation.Agile Methodologies: Operate in a fast-paced, agile environment, continuously learning and adapting new techniques to enhance prototyping speed and effectiveness.Experimentation: Develop and execute experiments to validate hypotheses, optimize performance, and drive rapid improvements in sensor analytics.Implement reasoning and multi agent systems to enhance our notification accuracy.Preferred SkillsExperience in Startup environmentExperience with vibration data (timewaveform, FFT)Experience with condition monitoring of industrial equipment is a big plusExperience with time-series data and forecasting models.Experience with LLM orchestration and agent workflowsExperience in automating pipelines and reporting toolsMust Have Skill:Machine learning, python, data drive innovation, problem solving skills, engineer experience and knowledge on the condition monitoring of machines or vibration data for structural healthQualifications & ExperienceEngineering degree or higher with minimum 3 years of experienceMachine Learning Expertise: Strong experience with ML frameworks (e.g., TensorFlow, PyTorch) and a deep understanding of machine learning algorithms.Big Data Proficiency: Familiarity with big data processing tools (e.g., Hadoop, Spark) and experience managing large-scale data analytics projects.Programming Proficiency: Advanced coding skills in Python (or similar languages) with a knack for writing clean, efficient, and maintainable code.Sensor Analytics: Experience working with sensor data or in the IoT space is a big plus.Problem-Solving Skills: Excellent analytical and problem-solving abilities with a track record of innovating under tight deadlines.Agility & Adaptability: Ability to work in a dynamic, fast-paced environment and adapt quickly to evolving technologies and methodologies.Great reasons to apply to NanopreciseExciting and dynamic environment with a great leadership teamRegular performance reviews to facilitate your successCompetitive compensation based on experience and proven abilitiesA global workforce of multi-cultural and talented colleaguesAmazing growth opportunities for your personal developmentAccess to our health Insurance program and so much more!Flexible working hoursGreat paid time offNoteNanoprecise Sci Corp is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture that does not discriminate based on disability, status, or any other basis protected under legislation.We thank all applicants in advance for their interest in this position however due to the volume of applications we receive, we are unable to respond to each application via phone, email, or agency inquiries.
Job Title
AI Innovation Engineer