Role Description We are looking for an Emerson Machine Works SME with hands‑on experience using the platform’s core capabilities. The role will support configuration, usage, and enablement of Machine Works across industrial use cases. Key Responsibilities - Act as Emerson Machine Works platform SME for delivery and support - Configure assets, machine models, and standard platform features - Support health indicators, diagnostics, and basic analytics - Assist teams with platform navigation, configuration, and troubleshooting - Support solution demos, PoCs, and early‑stage implementations Qualifications - Hands‑on experience with Emerson Machine Works - Understanding of asset health and machinery reliability concepts - Experience working in OT / industrial environments - Strong communication and documentation skills Requirements - 5-10+ years of experience Nice to Have - Exposure to Emerson Plantweb or APM ecosystem - Mining, oil & gas, manufacturing, or energy domain experience Company Description Kaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

• Design and deploy ML models that extract and structure competitive intelligence signals — supply availability, pricing patterns, and market saturation — from large-scale crawled datasets across global competitors • Build and maintain end-to-end ML pipelines spanning feature engineering, offline training, and low-latency online serving, ensuring high data fidelity and resilience to upstream schema drift • Apply entity resolution and matching techniques to accurately map competitor listings and markets to Airbnb's internal supply taxonomy, using methods such as embedding models, gradient boosted trees, and transformer-based architectures • Partner with the crawling infrastructure engineer, data engineers, and product teams to translate competitive intelligence needs into well-defined ML problem formulations and measurable success criteria • Run rigorous offline and online experiments to evaluate model quality, and collaborate with Pricing, Supply Growth, and Strategy stakeholders to turn model outputs into actionable business decisions • Stay current with the latest advances in ML and AI, identifying opportunities to incorporate new techniques into the competitive intelligence platform

Role Description As a member of the State Estimation team, you will work on cutting-edge multi-object tracking, scene estimation, and machine learning technology. Your responsibilities will include: - Developing spatio-temporal machine learning models for multi-object tracking and uncertainty estimation. - Developing machine learning models to estimate road features, lane markings, road shape, and road topology. - Reading literature, analyzing raw data, and designing state-of-the-art solutions. - Transitioning solutions from the lab to the test track and public roads to ensure successful production-level implementation. - Collaborating with perception experts and experienced roboticists on algorithm design, prototyping, testing, deployment, and productization. - Building and maintaining industry-leading software practices and principles. - Developing clean and efficient software for perception modules interfacing with other key modules. - Showing initiative and being a valued team member in a fast-paced, innovative, and entrepreneurial environment. Qualifications - Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics, or a related field and 4+ years of relevant experience (or Master's degree in a related field and 2+ years of relevant experience). - Experience in developing multi-object tracking systems using machine learning models. - Relevant knowledge and experience in machine learning, with a proven track record of developing and deploying deep learning solutions using PyTorch or similar frameworks. - Strong experience in computer vision, perception, and deep learning. - Proven experience in shipping perception software products to industry or consumers. - At least 4 years of development experience in Python/C++ environment. Requirements - Nice to have (optional): Ph.D. with machine learning focus, or equivalent experience. - Experience developing and deploying machine learning models with compute constraints. Benefits - Competitive compensation packages. - High-quality individual and family medical, dental, and vision insurance. - Health savings account with available employer match. - Employer-matched 401(k) retirement plan with immediate vesting. - Employer-paid group term life insurance and the option to elect voluntary life insurance. - Paid parental leave and Adoption/Surrogacy support program. - Paid medical leave. - Unlimited vacation and 15 paid holidays. - Complimentary daily lunches, beverages, and snacks for onsite employees. - Pre-tax spending accounts for healthcare and dependent care expenses. - Pre-tax commuter benefits. - Monthly wellness stipend. - Backup child and elder care program. - Professional development reimbursement. - Employee assistance program. - Discounted programs that include legal services, identity theft protection, pet insurance, and more. - Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives.

Role Description We are looking for experienced Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping, and delivery of the LLM platform features. You will have a blend of technical skills in the fields of AI & Machine Learning, especially with LLMs, and a deep-seated understanding of software development practices where you'll work with a team to ensure our systems are scalable, performant, and accurate. You will be reporting to Senior Manager, AI/ML. This is a #LI-Remote role. Qualifications - Bachelor's/master’s degree in computer science - 5+ years of industry experience in software development - Experience building Machine Learning models and deploying them in production environments - Proficiency working in cloud computing environments (AWS, Azure, GCP) - Experience with Machine Learning frameworks and software development best practices - Work with technological innovations in AI & ML (esp. GenAI) - Experience with design patterns and data structures - Good analytical, design, and debugging skills Requirements - Build on top of the foundational framework for supporting Large Language Model Applications at Avalara - Experience with LLMs - like GPT, Claude, LLama, and other Bedrock models - Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place - Inspire creativity by researching and applying the latest technologies and methodologies in machine learning and software development - Write, review, and maintain high-quality code that meets industry standards - Lead code review sessions, ensuring good code quality and documentation - Mentor junior engineers, encouraging a culture of collaboration - Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged Benefits - Great compensation package - Paid time off - Paid parental leave - Many Avalara employees are eligible for bonuses - Health & Wellness benefits vary by location but generally include private medical, life, and disability insurance - Inclusive culture and diversity initiatives - 8 employee-run resource groups with senior leadership and exec sponsorship Company Description We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion-dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too.