Role Description Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organizational goals. As a lead machine learning engineer on projects, you will be leading the design of technical solutions or perhaps overseeing a program inception to build a new system and/or application. Alongside hands-on coding, as a key influencer, you will shape the trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful outcomes for the broader objectives of the company. Job Responsibilities - Embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals. - Play a pivotal role in program inception, shaping the development of new systems and applications from idea to reality, overseeing technical feasibility and resource allocation. - Leverage your deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency. - Translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects. - Own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation. - Champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement. - Navigate intricate technical challenges with proficiency, employing your specialized knowledge to troubleshoot issues and guide the team towards successful resolutions. - Stay at the forefront of the evolving field of machine learning, actively seeking out and implementing new technologies and advancements to ensure Thoughtworks remains a leader in innovation. - Foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharing. - Measure and analyze the impact of ML initiatives, iteratively refining approaches and ensuring solutions deliver tangible value to clients and the organization. Qualifications - Experience in developing a technical vision and strategy, keeping it relevant and aligned to the business needs. - Ability to design and execute cross-functional requirements based on business priorities. - Experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code using Python. - Experience with distributed systems and scalable architectures to handle large-scale ML applications. - Experience with building, deploying and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch. - Experience with application of MLOps principles and CI/CD to ML. - Experience in machine learning engineering and data science, familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles. - Experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc. - Hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP and/or Databricks and associated ML managed services. Professional Skills - Understanding of stakeholder management and ability to liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust. - Resilience in ambiguous situations and ability to adapt your role to approach challenges from multiple perspectives. - Willingness to take on risks or conflicts and manage them skillfully. - Eagerness to coach, mentor and motivate others, aspiring to influence teammates to take positive action and accountability for their work. - Enjoyment in influencing others and advocating for technical excellence while being open to change when needed. - Proven leadership with a track record of encouraging teammates in their professional development and relationships. - Natural ability to cultivate strong partnerships and understand the importance of relationship building for new opportunities. Benefits - Learning & Development: Career development supported by interactive tools, numerous development programs, and teammates who want to help you grow. - Responsible Use of AI in Recruitment: AI tools are used to support recruitment with administrative tasks, ensuring fairness and responsible AI. - Accommodations: Commitment to providing reasonable accommodations to qualified applicants with disabilities or sincerely held religious beliefs. - Cancellations: Awareness that project scope or availability may shift or be cancelled during the recruitment and selection process. Salary $156,000 — $251,000 CAD

Role Description We are seeking a highly skilled Tooling and Die Design Engineer with 3 to 5 years of experience specialized in aluminum and magnesium high-pressure die casting (HPDC). This role bridges advanced simulation engineering with high-stakes customer collaboration. The ideal candidate will possess advanced capabilities in 3D flow and solidification modeling alongside outstanding communication and interpersonal skills. You will frequently work closely with client engineering teams—including on-site collaboration at their facilities—to optimize part designs for manufacturing and lead tooling development from concept to production launch. Core Responsibilities - Tooling Design & Simulation Engineering - Advanced Simulation: Utilize MAGMA5, FLOW-3D, or equivalent liquid flow modeling tools to perform comprehensive 3D flow, thermal, and solidification simulations. - Die & Gating Design: Design and optimize complete die casting tooling layouts, including gating systems, runners, overflows, venting, and thermal management (cooling/heating) channels. - Design for Manufacturing (DFM): Lead detailed DFM reviews, translating simulation results into concrete engineering recommendations for wall thicknesses, draft angles, fillets, and parting lines. - Troubleshooting & Optimization: Analyze production tooling wear or casting defects and engineer permanent design modifications to improve die life and quality yields. - OEM Customer Interface & Collaboration - On-Site Technical Liaison: Embed with OEM customer engineering teams at their sites during early development phases to provide face-to-face technical support and build strong, trusting partnerships. - Cross-Functional Communication: Translate complex fluid dynamics and metallurgical data into clear, actionable design feedback for both highly technical internal teams and external client stakeholders. - NPI Support: Actively participate in prototype builds and early New Product Introduction (NPI) phases to ensure client expectations align perfectly with production realities. - Documentation: Develop and maintain rigorous documentation for design changes, simulation logs, control plans, and customer design sign-offs. Qualifications - 3 to 5 years of dedicated experience in tooling design and simulation engineering specifically for aluminum and/or magnesium high-pressure die casting. - Bachelor's degree in Mechanical Engineering, Metallurgical Engineering, Materials Science, or a related engineering discipline. - Proven proficiency running advanced 3D liquid flow and solidification modeling software (e.g., MAGMA, FLOW-3D). - Strong hands-on experience with 3D CAD design software (such as NX, Catia, or Creo). - 3 to 5 years of hands-on experience working directly in the HPDC industry or within an Automotive OEM's product development team (preferred). - Excellent verbal and written communication skills in English, with the polished presence necessary to represent PSW Group directly on-site at major OEM facilities (preferred). - Excellent organizational skills, attention to detail, and the flexibility to balance shifting customer requirements with internal production capabilities (preferred). - 30% domestic traveling and occasionally international travels (preferred). Requirements - 3 to 5 years of experience in tooling design and simulation engineering. - Bachelor's degree in a relevant engineering discipline. - Proficiency in advanced simulation software. - Experience with 3D CAD design software. Benefits - Competitive salary. - Discretionary bonus. - 401k plan with company match. - Medical, dental, and vision coverage. - Life and disability insurance. - Other types of group and individual coverages.

Role Description We’re looking for a Principal Engineering Manager to lead a critical engineering area and raise the bar for how we build and deliver products. This is a senior leadership role for someone who combines strong engineering judgment with a deep sense of ownership. - Work closely with Product and Design to shape solutions early. - Bring clarity to complex problem spaces. - Help your team deliver in a predictable and sustainable way. - Stay close to the work, understand what your team is building and why. - Create conditions for strong execution, healthy engineering standards, and meaningful business impact. Qualifications - 5+ years of experience leading engineering teams in a product company. - 10+ years of background in software engineering, including software engineer/developer roles. - Comfortable designing and operating distributed, service-oriented systems from an architecture perspective. - Experience working in both back-end and front-end. - Open to going and building things if needed, as it is a partially hands-on role. - Strong track record of delivering complex products or systems in a fast-moving environment. - Ability to operate comfortably in both technical and product discussions. - Strong ownership mindset and ability to bring clarity to ambiguous situations. - Experience partnering closely with Product and Design. - Clear communication skills and a practical, execution-oriented approach to leadership. Requirements - Comfortable operating across various languages including PHP (Symfony), Node.js (TypeScript), and Angular (TypeScript). - Experience with data technologies such as PostgreSQL, Redis, and MongoDB. - Familiarity with infrastructure including AWS and containerized environments like Kubernetes. - Practical experience using LLMs and coding assistants, understanding how AI can improve engineering workflows. - Knowledge of engineering practices including automated testing, continuous delivery, and fast feedback environments. - Experience with data-informed product development, including A/B testing. - Familiarity with tooling and observability, including CI/CD pipelines and monitoring distributed systems. Benefits - 20 fully paid business days of vacation. - 15 fully paid sick leaves. - 11+ fully paid public holidays. - Medical expenses compensation. - Well-being compensation — gym, sports, or other wellness activities. - Culture perks — gifts and team activities. - Access to learning platforms. - English courses compensation. - Ability to work from home or remotely.

Role Description We need an English-fluent PART-TIME Full Stack Engineer , based in Latin America, available to work remotely. We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills. - Design, develop, and maintain full-stack web applications using Python, React, TypeScript, and modern web technologies. - Build, enhance, and maintain backend APIs and services using FastAPI or similar Python frameworks. - Develop responsive, scalable, and user-friendly frontend applications using React and Next.js. - Design, optimize, and maintain PostgreSQL databases, ensuring performance, reliability, and data integrity. - Implement and maintain secure authentication and authorization systems using Auth0 or equivalent OIDC/JWT and RBAC solutions. - Deploy, monitor, and support applications within AWS cloud environments. - Manage and troubleshoot AWS infrastructure components, including EC2, RDS, IAM, Application Load Balancers (ALB), and CloudWatch. - Participate in infrastructure planning and cloud architecture discussions to improve scalability, security, and operational efficiency. - Build and maintain CI/CD pipelines using GitHub Actions and support branch-based deployment workflows. - Containerize and deploy applications using Docker. - Monitor application health, performance, and reliability, identifying and resolving production issues proactively. - Collaborate with cross-functional teams to define technical requirements and deliver high-quality solutions. - Conduct code reviews and contribute to engineering best practices, coding standards, and technical documentation. - Support continuous improvement initiatives across application architecture, infrastructure, and development processes. Qualifications - 3+ years of professional experience in full-stack software engineering. - Strong experience developing production applications using Python. - Hands-on experience with FastAPI or similar backend frameworks. - Solid experience with SQL and PostgreSQL database design and optimization. - Strong frontend development experience with React and TypeScript. - Experience building applications with Next.js, preferably using the App Router architecture. - Hands-on experience working with AWS infrastructure and cloud-hosted production environments. - Experience with AWS services, including: - EC2 - RDS - IAM - Application Load Balancer (ALB) - CloudWatch - Practical understanding of cloud infrastructure concepts, including networking, security, monitoring, and troubleshooting. - Experience implementing authentication and authorization using Auth0 or equivalent OIDC/JWT-based identity platforms and RBAC models. - Experience working with Docker containers. - Experience building and maintaining CI/CD pipelines using GitHub Actions. - Strong understanding of Git workflows and branch-based deployment processes. - Ability to troubleshoot complex technical issues across the full application stack. - Strong communication and collaboration skills. - Professional-level English proficiency. Requirements - Experience with OpenTelemetry or other observability and monitoring platforms. - Experience with Infrastructure as Code (IaC), particularly Terraform. - Experience with AWS networking, VPC configuration, and cloud security best practices. - Experience integrating Stripe billing systems, subscriptions, and webhook-driven workflows. - Experience working with LLM APIs such as OpenAI or Anthropic. - Exposure to distributed systems, event-driven architectures, or microservices. - Experience building AI-powered or data-intensive applications. Benefits - The Salary range offered for this part-time position (20hrs/week) varies from (USD) $2,000 - $3,200 per month, depending on seniority and skillset. - This position is for an independent contractor, through a payroll platform. - The talent will work REMOTELY allocated at our client. Company Description Hello! We are GoFasti, a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe.