• Design and develop edge machine learning systems that improve the autonomy and safety of our construction robots • Build scalable ML infrastructure for model training, validation, deployment, and monitoring • Develop and optimize computer vision and sensor fusion models for construction environments • Analyze large-scale operational datasets to improve model performance and reliability • Improve object recognition, scene understanding, and autonomous decision-making systems • Integrate cloud-based commercial and open-source AI tools into our autonomy stack

Role Description Join our innovative team and help us in shaping the future of Technology! - Design, develop, and deploy AI/ML solutions to modernize core pharmacy platforms, with a focus on scalability, reliability, performance, and security. - Leverage Generative AI, LLMs, and agentic AI frameworks to automate and enhance pharmacy workflows and decision-making processes. - Collaborate with business and technical stakeholders to understand pharmacy domain requirements and translate them into robust AI/ML-driven technical solutions. - Contribute to architecture and technical design of AI/ML pipelines, including model selection, data integration, and deployment patterns. - Establish and maintain AI/ML engineering standards, best practices, and quality assurance processes. - Conduct code reviews, provide constructive feedback, and mentor engineers on modern AI/ML engineering practices. - Partner with cross-functional teams including data scientists, product managers, platform engineers, and pharmacy domain experts. - Translate legacy system modernization needs into scalable AI applications that enhance products, workflows, and operational efficiency. - Monitor and optimize AI/ML model performance, resource utilization, and platform reliability. - Collaborate with DevOps and infrastructure teams to ensure secure, scalable deployment and operations of AI/ML solutions. - Stay current with advancements in AI/ML frameworks, Generative AI, LLMs, and pharmacy technology modernization. Qualifications - 5+ years of experience as a software engineer or AI/ML engineer delivering cloud-based solutions. - 5+ years of experience with cloud platforms such as Azure, AWS, or Google Cloud. - 5+ years of programming experience in Python, Golang, JavaScript, or Java. - 3+ years of hands-on experience with AI/ML frameworks, model development, and deployment. - 3+ years of hands-on experience with Generative AI, LLMs, and agentic AI solutions. - Experience building distributed systems and cloud-native AI/ML applications. - 1+ years of experience with security and compliance in cloud environments. - Strong problem-solving and analytical skills with the ability to propose innovative AI/ML solutions. - Excellent communication and collaboration skills across technical and non-technical teams. Company Description VXForward is a leading technology solutions provider that helps to create a business value with innovative and cost-effective services across different industries. - Exciting Projects, Meaningful Impact - Continuous Learning and Growth - State-of-the-Art Technologies - Collaborative Team Environment - Make a Real Difference - Work-Life Balance

• Be the first technical hire at a cider company betting big on AI. Build tools that move the business forward. • Learn each business function deeply - sit with teams until you understand how their work actually happens • Partner with department managers to develop technical solutions to problems they've already identified • Proactively ideate on problems we haven't thought to solve yet - automations, data products, integrations • Ship aggressively using AI coding tools and low/no-code platforms - own the full lifecycle from scope to deployment • Document lightly so non-technical teammates can self-serve where it makes sense.

• Conduct research and development of novel AI/ML concepts, algorithms, and techniques to advance space and missile defense capabilities • Lead the design, development, and testing of scalable AI/ML software prototypes for space and missile defense using large-scale datasets • Interface with customers and stakeholders to gather mission requirements, present technical solutions, and ensure project alignment • Mentor and guide junior engineers, fostering a culture of technical excellence and collaboration • Track project milestones and budgets, ensuring timely and quality outcomes • Support proposal-writing activities and thought leadership opportunities • Engage in continuous learning and professional development to stay at the forefront of AI/ML advancements, space domain technologies, and relevant emerging R&D trends