Job Title: Machine Learning Engineer

Location: Hybrid

Job Type: Full-time

About Us:
Ralliant is at the forefront of leveraging data and AI technologies to drive innovation across Precision Tech Industries. We aim to solve real-world challenges by combining advanced machine learning, cloud computing, and generative AI to deliver cutting-edge solutions. We’re looking for a talented and passionate  MLE  to join our dynamic team and help us continue to push the boundaries of AI.

·  Model Deployment & MLOps:

Design, build, and maintain machine learning pipelines, ensuring continuous integration and deployment (CI/CD) of models in production environments. Deploy machine learning models as APIs, microservices, or serverless functions for real-time inference. Manage and scale machine learning workloads using Kubernetes, Docker, and cloud-based infrastructure (AWS, Azure, GCP).

·  Automation & Scripting:

Automate routine tasks across the ML lifecycle (data preprocessing, model training, evaluation, deployment) using Python, Bash, and other scripting tools. Implement automation for end-to-end model management and monitor pipelines for health, performance, and anomalies.

·  Cloud Platforms & Infrastructure:

Utilize cloud platforms (AWS, Azure, GCP) to optimize the scalability, performance, and cost-effectiveness of ML systems. Leverage Infrastructure as Code (IaC) tools like Terraform or CloudFormation to provision and manage cloud resources effectively.

·  Data Pipelines & Integration:

Build and maintain robust data pipelines to streamline data ingestion, preprocessing, and feature engineering. Work with both structured and unstructured data sources and databases (SQL, NoSQL) to feed data into ML models.

·  Monitoring, Logging & Troubleshooting:

Set up monitoring and logging systems to track model performance, detect anomalies, and maintain system health. Diagnose and resolve issues across the machine learning pipeline and deployed models.

·  Collaboration & Communication:

Collaborate closely with data scientists, software engineers, and business stakeholders to ensure machine learning models meet the required business objectives and performance standards. Effectively communicate complex ML concepts and technical details to non-technical stakeholders.

·  GenAI & AI Agents Expertise:

Stay up to date with the latest trends in Generative AI (e.g., GPT models, Diffusion models) and AI agents, and bring this expertise into production environments. Design and deploy advanced GenAI solutions, ensuring they are aligned with business needs and ethical AI principles.

·  Security & Compliance:

Implement robust security measures for machine learning models and ensure compliance with relevant data protection and privacy regulations. Address vulnerabilities, ensuring safe and secure deployment of models in production environments.

·  Optimization & Cost Management:

Optimize machine learning resources (compute, memory, storage) to achieve high performance while minimizing operational costs. Regularly review and improve the efficiency of machine learning workflows.

·  Testing & Validation:

Develop and execute rigorous testing and validation strategies to ensure the reliability, accuracy, and fairness of deployed models. Use automated testing frameworks to continuously validate model performance.

Required Skills & Qualifications:

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Experience: Proven experience (3+ years) in machine learning engineering, MLOps, or related fields. Experience with deploying and managing machine learning models in production using tools like Kubernetes, Docker, and CI/CD pipelines. Hands-on experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (Terraform, CloudFormation). Strong coding experience in Python, Bash, or other scripting languages. Expertise in Generative AI models (e.g., GPT, GANs) and their deployment at scale. Experience working with databases (SQL, NoSQL) and building data pipelines. DevOps & CI/CD: Knowledge of DevOps tools and practices, including version control (Git), automated testing, and continuous integration/deployment. AI Agents: Familiarity with the latest AI agent frameworks and their deployment in real-world applications. Data Science Concepts : Solid understanding of GenAI,NLP, Computer Vision,  machine learning algorithms, data structures, and model evaluation techniques. Problem-Solving: Strong troubleshooting and debugging skills to quickly identify and fix issues within ML pipelines and deployments. Collaboration & Communication: Excellent communication skills with the ability to work in a cross-functional team and explain technical concepts to non-technical stakeholders.

Preferred Qualifications:

Certification in Cloud Technologies (AWS, Azure, GCP) and MLOps platforms. Experience with large-scale ML systems and distributed computing. Understanding of ethical AI practices and AI fairness. Familiarity with cutting-edge AI technologies like reinforcement learning, AI agents, and deep learning.

Technical Skills:

Proficiency in Python, R, or other relevant programming languages. Strong knowledge of machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras. Experience with SQL and cloud-native data processing tools (e.g., AWS Redshift, Azure Synapse, Spark). Familiarity with DevOps practices and CI/CD pipelines for ML model deployment.

Soft Skills:

Strong communication skills with the ability to translate complex technical concepts into business-friendly language. Problem-solving mindset, with the ability to approach challenges creatively and collaborate with diverse teams. Leadership potential or experience mentoring junior team members.

Preferred Qualifications:

Certification or training in AWS (e.g., AWS Certified Machine Learning), Azure, or other cloud services. Experience working with containerization technologies like Docker and Kubernetes for model deployment. Exposure to the latest trends in AI ethics, explainability, and fairness.

Company Overview:

Join a dynamic and innovative team at Ralliant, a leader in producing high-tech measurement instruments and essential sensors. Our brands, including Tektronix, Qualitrol, Sensing Technologies and Pacific Scientific, are at the forefront of technological advancements, providing critical products that drive innovation across various industries. At Ralliant, we are committed to excellence and continuous improvement, delivering top-tier solutions that meet the evolving needs of our Operating Companies

These are the traits we value:

You are collaborative, proactive, adaptable, and gritty.  You excel at facilitating and reconciling inputs across separated geo-located teams. You balance a passion for deep understanding of innovation with the ability to deliver extraordinary results. Ability to Deliver Results: A track record for delivering results with concrete financial and operational objectives as well as the capacity to organize and direct a small team. Entrepreneurial Attitude: A proactive outlook that provides the chutzpah needed to overcome barriers, creatively problem solve, and test conventional thinking. Comfort with Ambiguity: A willingness and aptitude for spending time in and thriving with deep uncertainty and environments where there is no clear “right answer”. Passion for Innovation: A demonstrated interest and desire to participate in innovation through personal study, on-the-job initiative, or other endeavors. Positive Outlook: A desire to look past the objections in search of the opportunity. Strong Communication Skills: An ability to explain new concepts clearly and succinctly, able to negotiate and persuade others to your point of view. A need for speed; demonstrated ability to make decisions quickly and to act upon them. Alongside a team of entrepreneurial, high-performing, curious people, you’ll deliver breakthrough solutions to drive sustainable growth for Ralliant 

 

Bonus or Equity
This position is also eligible for bonus as part of the total compensation package.

 

Fortive Corporation Overview

Fortive’s essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product design, and healthcare safety solutions.

We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in software-powered workflow solutions, data-driven intelligence, AI-powered automation, and other disruptive technologies. We’re a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to groundbreaking sustainability solutions.

We are a diverse team 17,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.

At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference.

At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.

At Fortive, we believe in growth. We’re honest about what’s working and what isn’t, and we never stop improving and innovating.

Fortive: For you, for us, for growth.

About NewCo