Process Engineer

Introducing dss+At dss+, we are a purpose-driven consultancy dedicated to saving lives and fostering a sustainable future for our clients, employees, and communities. Our focus is on placing people at the core of our mission, ensuring that we deliver impactful results.We work collaboratively with our clients, utilizing a blend of industry expertise and hands-on experience coupled with strong people-centric change management practices. This synergy allows us to support our clients from intention to impact, helping them to safeguard what matters most, transform their organizations, and maintain the necessary changes to realize their visions effectively.Our diverse clientele spans various sectors, including Oil & Gas, Chemicals, Petrochemicals, Mining & Metals, and Power & Utilities, including Renewables.Role OverviewAs a seasoned Process Safety Specialist, your skills are crucial in our efforts to protect people, assets, and the environment, making you a key player in our mission. We are currently enhancing our capabilities and expanding our presence, seeking a Subject Matter Expert in Process Safety to join our dynamic team. You will lead specific workstreams within broader Process Safety Management (PSM) and Operational Risk Management (ORM) transformation programs, focusing on identifying, designing, and implementing effective solutions in your area of expertise. Your role will involve providing subject matter expertise and leading project teams to assist clients in establishing and executing robust Risk Assessment and Process Hazard Analysis programs while building organizational capabilities to sustain performance.Key Responsibilities:Lead the design and execution of process safety initiatives, emphasizing PHA and associated risk analysis techniques, while providing expertise on PHA and Risk Assessment Programs (including HAZOP, What-If, Layer of Protection Analysis, Safety Integrity Level, Quantitative Risk Assessment, Facility Siting, Human Factors, Inherent Safer Process Review, etc.).Identify and assess process safety risks throughout the asset lifecycle—from design and construction through operations, maintenance, modifications, and decommissioning.

Role Overview rehire seeks a Ssr Electronic Engineer in Ciudad de Mexico to help prototype and integrate IoT solutions. This role focuses on hands-on development, working alongside colleagues from different specialties to turn new concepts into working prototypes and strengthen the company’s technology. What You Will Do Design and build electronic prototypes for IoT projects Collaborate with cross-functional teams to develop and refine solutions Integrate hardware and software components to create functional systems Contribute technical insight to improve product capabilities Location This position is based in Ciudad de Mexico.

Engineering Project ManagerJoin Rehire as we partner with a cutting-edge technology firm specializing in security and video management platforms. We are on the lookout for an Engineering Project Manager, a pivotal role that will serve as the bridge among various technical teams, infrastructure, and leadership. This position demands organization, execution, and operational clarity in a highly complex technical environment.The ideal candidate will possess a robust technical background and exceptional cross-functional coordination skills, enabling senior teams to concentrate on innovation, research and development, and product evolution.Responsibilities:Serve as a technical liaison among engineering, infrastructure, R&D, and leadership teams.Coordinate and streamline the execution of multiple technical initiatives impacting the same platform.Translate technical dependencies and priorities into clear plans, timelines, and accountable parties.Facilitate communication across teams with distinct focuses (backend, frontend, infrastructure, analytics).Support the evolution of the platform and the rollout of new product versions.Manage both technical and non-technical stakeholders, ensuring alignment and focus on execution.Assist in organizing work, tracking objectives, and minimizing operational noise.Contribute to people management and technical leadership, with a focus beyond just coding.Requirements:Strong technical foundation in software development, systems, or infrastructure, with prior experience in complex environments. Experience with technologies such as React, Python, GO, .NET is a plus. Previous experience as a Full-Stack Developer is valued.At least 4 years of experience in roles such as Technical Program Manager, Engineering Manager, Technical Project Manager, or similar. (MANDATORY).Ability to navigate comfortably in dynamic contexts, managing multiple teams and shifting priorities.Experience in consulting or professional services is highly regarded.Excellent communication, organizational, and leadership skills.

Wizeline is a global technology solutions provider specializing in AI-driven digital products and platforms. The team works closely with clients to help them extract value from data and artificial intelligence, enabling organizations to adapt and move quickly. Growth, collaboration, and meaningful impact are central to the company’s culture. Role overview This Data Scientist - Machine Learning Engineering position is based in Ciudad de Mexico. The role focuses on building and maintaining machine learning infrastructure and deploying advanced models. Projects span a range of AI solutions, including forecasting engines, optimization, and natural language processing. The work takes place in a collaborative environment that values growth and teamwork. Main responsibilities Design and implement machine learning infrastructure, covering pipelines, model serving, monitoring, and governance. Lead the deployment of models for forecasting, optimization, and NLP applications. Develop CI/CD workflows using Azure Pipelines, MLflow, and Databricks. Set up model registry, versioning, lineage, and ensure audit compliance. Build monitoring systems to detect model drift and automate retraining processes. Mentor MLOps engineers and support integration across different platforms. Promote MLOps best practices, with a focus on containerization and observability. Requirements 5–8+ years of experience in ML Engineering, MLOps, or managing large-scale machine learning systems. Strong knowledge of Spark, Azure Databricks, MLflow, Kubernetes, and Docker. Experience deploying machine learning solutions at the enterprise level, with emphasis on audit and monitoring. Understanding of hybrid and multi-cloud infrastructure. Preferred qualifications Experience using AI tools for drafting, analysis, research, and process automation, with the ability to advise on AI adoption and workflow improvements. Leadership experience in ML platforms or DevOps teams. Work with feature stores and feature engineering; familiarity with AutoML and H2O is a plus. Benefits Work that creates real impact Support for ongoing professional development Flexible, collaborative workplace culture Opportunities for global growth

At Rehire, we are collaborating with a leading technology company to find a Semi-Senior Backend Engineer. This pivotal role within the R&D team is centered on developing scalable backend systems and event-driven architectures.We seek a candidate with a solid technical foundation who is eager to tackle more complex challenges while working in a demanding environment alongside multidisciplinary teams (AI, Backend, Frontend).

Rehire is partnering with a forward-thinking technology firm to find an exceptional Team Leader for their Backend Engineering team. This pivotal role within the R&D department focuses on orchestrating technical teams and designing scalable event-driven architectures.We are looking for a seasoned professional with a robust technical background in backend development and strong leadership skills. The ideal candidate will coordinate multidisciplinary teams (AI, Backend, Frontend) and ensure the technical execution of projects is executed flawlessly.

Join our dynamic team at rehire as a Senior Machine Learning Engineer specializing in MLOps and Computer Vision. In this pivotal role, you will leverage your expertise in machine learning to develop and deploy innovative solutions that enhance our product offerings. You will work closely with cross-functional teams to design scalable ML systems and contribute to cutting-edge projects that impact our customers worldwide.