• Designing, testing, and optimizing prompts and AI-assisted workflows (LLMs), including German-language use cases.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description An early-stage startup is redefining how financial research is conducted by creating a declarative orchestration layer akin to "Vercel for financial research." This backend engineering role focuses on simplifying the infrastructure behind large language model (LLM) integrations, runtime orchestration, and data workflows. - Work at the intersection of LLM tooling, serverless infrastructure, and financial data systems - Make spawning new research pipelines seamless and scalable Qualifications - Strong Python programming experience - Proficiency with cloud infrastructure and serverless compute (e.g., Modal) - Familiarity with relational databases such as PostgreSQL - Experience integrating with LLM APIs (OpenAI, Anthropic, xAI, Google) or LLM frameworks (e.g., PydanticAI) - Ability to work autonomously and quickly adapt to evolving tech stacks - Excellent problem-solving skills and a builder’s mindset Requirements - Prior experience with financial data APIs (e.g., S&P, FactSet, SEC Edgar) - Familiarity with AI tooling APIs (e.g., Exa, Parallel) - Previous successful engagements with other clients in similar contractor roles Benefits - Contractor position (no medical/paid leave) - Full-time dedication (40 hours/week) Company Description Our client is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. They help customers in two ways: - Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge - Leveraging that work to build real-world AI systems that solve mission-critical priorities for companies

About: SimplilearnSimplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more — that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals. Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally. ABOUT THE ROLEAs an Instructor at Simplilearn, you will play a vital role in shaping the future of artificial intelligence and machine learning aspirants and professionals. Specifically, you will deliver content from our AI and Machine Learning Post Graduate Program, developed in collaboration with Microsoft. This program is designed to provide learners with comprehensive knowledge and hands-on experience in building intelligent systems using machine learning, deep learning, and neural networks. In this role, you will lead live online classes, mentor students through lab exercises and real-world projects, and facilitate discussions that connect AI/ML concepts to practical business applications. By breaking down complex theoretical ideas into easy-to-understand modules, you’ll help learners become proficient in the tools and techniques that drive AI innovation across industries. This is a part-time, remote role. All sessions are conducted live in a fully online, interactive format. RESPONSIBILITIES In this role, you will: - Create a positive, professional and inclusive learning environment, by: - Teaching select lessons in accordance with learning objectives and fidelity to session plans provided by Simplilearn - Employing strategies known to meet the needs of adult learners, including leveraging tech tools, instructional best practices and connecting content to the real world by sharing industry insights and professional experiences - Managing regular communication with students to align on progress,expectations, celebrate milestones and address concern areas - Providing individualized student support during synchronous class sessions and outside class synchronously during office hours and asynchronously through timely communication - Evaluate student performance and progression toward competencies based on course deliverables and course rubrics, by: - Providing constructive and timely feedback to students in the cohort - Assisting in the management of Performance Action Plans for individual students who need additional support  - Serve as role model for students and as an ambassador for our brand, by: - Exhibiting professionalism and an ethical and empathetic approach when engaging with Simplilearn staff, students, and the public - Promoting student retention and amplify student satisfaction by creating a positive classroom culture for the Learning Team, communicating timely with students and leveraging effective interventions and sharing of resources - Encouraging teamwork and seek feedback for continuous improvement QUALIFICATIONSYou are a great candidate for this role if you have: - 5+ years of hands-on experience in Machine Learning (ML) and Deep Learning (DL), including developing and deploying models using Python, TensorFlow, PyTorch, or other ML frameworks - A deep understanding of machine learning algorithms and concepts, such as supervised and unsupervised learning, neural networks, support vector machines, decision trees, and reinforcement learning - Solid background in mathematical foundations of machine learning, including probability theory, linear algebra, optimization, and statistical analysis - Experience with the full ML lifecycle, from data pre-processing, feature engineering, and model selection, to model evaluation and deployment in real-world applications - Proficiency with the ML stack, including libraries like Pandas, NumPy, Scikit-learn, Keras, and working knowledge of big data tools such as Spark or Hadoop (optional but preferred) - Experience working with real-world data, including handling structured and unstructured datasets, data cleaning, and performing exploratory data analysis (EDA) - Previous teaching or mentoring experience, ideally in an online learning environment - A passion for teaching and the ability to simplify complex AI/ML topics to make them accessible to learners at various skill levels - Strong communication and presentation skills (verbal and written), with a focus on engaging and student-centric teaching methods - Professionalism, integrity, and empathy in all learner and team interactions. Compensation:The expected compensation for this role is $50 - $55 per hour for candidates who fulfill the qualifications listed. Candidates with advanced qualifications or domain expertise are encouraged to apply as well. All final offers will be determined based on individual experience, skillset, and alignment with the program needs. Not all candidates will qualify for the top of the salary range.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers the opportunity to lead and execute advanced industrial control systems projects within a high-tech automation environment. The Senior Industrial Controls Engineer will drive the design, programming, and implementation of PLC, HMI, and drive-based systems, collaborating with cross-functional teams and mentoring junior engineers. You will own technical solutions end-to-end, from requirement validation and system design to testing, troubleshooting, and deployment, ensuring high reliability and compliance with customer standards. This position involves frequent interaction with internal stakeholders and customers, both on-site and remotely, and includes leadership in process improvement initiatives. The ideal candidate is highly autonomous, proactive, and experienced in complex automated system design and integration. - Lead the design, programming, and implementation of industrial control systems, including PLCs, HMIs, and AC/DC drives. - Develop and execute test strategies, generate reports, and ensure compliance with technical requirements. - Troubleshoot complex automation systems, perform root cause analysis, and provide effective solutions. - Document system configurations, functionalities, and team processes for technical transparency and knowledge sharing. - Collaborate with cross-functional teams and customers to gather requirements and validate technical solutions. - Coach, mentor, and supervise junior engineers, promoting best practices in industrial control engineering. - Support site implementations, release management, and process improvement initiatives across multiple locations. Qualifications - Bachelor’s degree in Electrical Engineering, Controls Engineering, Automation, Computer Science, or a related discipline. - Minimum of 8 years’ experience designing and implementing industrial control systems, including PLCs, HMIs, and drives. - Advanced experience programming Rockwell PLCs (ControlLogix, GuardLogix) and developing HMIs (Ignition 8, FactoryTalk ME/SE). - Knowledge of AC/DC drive control architecture, industrial networks, and electrical/mechanical schematics. - Strong troubleshooting skills and experience in automated systems engineering. - Leadership experience, including team organization, task prioritization, and mentorship. - Familiarity with JIRA, Agile methodology, and knowledge of Rockwell and Inductive Automation products is a plus. - Willingness to travel approximately 40% to customer locations in the U.S. and Canada. Benefits - Competitive base salary range of $120,000 – $165,000, depending on experience and location. - Comprehensive medical, dental, and vision coverage. - Disability and life insurance. - 401(k) retirement plan with company contributions. - Paid time off and flexible vacation policies. - Opportunities for professional development and career growth. - Remote work options and collaborative work environment.