Project 44 is hiring: Staff Machine Learning Engineer Bangalore in Chicago
Project 44, Chicago, IL, United States
We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world.
With our Decision Intelligence Platform, Movement , we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next‑gen applications that keep businesses moving forward.
Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.
If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk.
Description
project44 is looking for a Staff Machine Learning Engineer to join our engineering team. You will work in a fast-paced Agile environment designing, building, and implementing best-in-class integrations to accelerate how project44 connects to the world’s logistics networks.
About the Role
Staff ML Engineer to lead the development of next‑generation AI/ML systems at Project44, spanning ETA, risk, anomaly detection, and supply chain intelligence. This role sits at the intersection of applied modeling, platform thinking, and production impact, with a mandate to both ship high‑value ML capabilities and build reusable Data Science platform primitives that scale across teams.
In addition, this role will drive the integration of Generative AI, LLMs, and agentic systems into core workflows—enabling reasoning‑driven diagnostics, automation, and intelligent decision support across the supply chain.
You will work closely with Data Science, ML Engineering, Data Engineering, Platform, and Product teams to deliver production‑grade systems and establish a scalable, repeatable approach to AI development at P44.
What You’ll Do
Drive High‑Impact ML Systems – Lead end‑to‑end development of models for ETA, risk, anomaly, and fraud—leveraging advanced techniques (embeddings, transformers, hybrid models).
Build Data Science as a Platform – Develop reusable ML infrastructure (features, experimentation, deployment, monitoring) to scale model development and reduce time‑to‑production.
Lead GenAI & Agentic Systems – Build LLM‑powered solutions (RAG, diagnostics, automation, coding agents) and establish guardrails, evaluation, and explainability.
Translate Business Problems into ML Solutions – Convert customer workflows into well‑defined ML problems and ensure measurable business impact.
Drive Experimentation & Evaluation – Establish strong offline/online evaluation frameworks tied to business outcomes.
Collaborate Across Engineering – Partner with MLE and DE to build scalable, reliable systems across the ML lifecycle.
What We’re Looking For
Experience 8–10+ years in Data Science / Applied ML with a strong track record of building and deploying production‑grade ML systems.
Core Modeling & Technical Expertise – Deep expertise across tree‑based models, transformers, probabilistic modeling, and feature engineering, with a strong data‑centric mindset.
Data & Platform Fluency – Proficient in SQL and Python, with hands‑on experience in modern data platforms (Snowflake/Databricks), pipelines (Spark, Airflow), streaming systems (Kafka), and MLOps tooling.
GenAI & LLM Capability – Experience building RAG systems, working with embeddings and vector databases, and developing LLM‑based applications and agentic workflows. Strong understanding of evaluation, guardrails, and safe deployment of GenAI systems.
Systems & Engineering Mindset – Familiarity with distributed systems, APIs, and deployment patterns, with the ability to write clean, production‑quality code.
Analytical Rigor & Diagnostics – Strong ability to evaluate model performance, detect edge cases, run root cause analysis, and design robust monitoring and evaluation frameworks.
Data Quality & Signal Awareness – Experience handling messy, real‑world data, including drift, bias, missingness, and anomalies, along with tools and techniques to detect and address these issues.
Modeling Judgment & Trade‑offs – Ability to identify when to use ML versus heuristics and design pragmatic hybrid solutions. Strong understanding of architectural trade‑offs across models and systems.
Business Impact Orientation – Clear understanding of how ML metrics translate to business outcomes, with the ability to balance trade‑offs across accuracy, scalability, latency, and customer experience.
Leadership & Communication – Strong problem framing, stakeholder influence, and ability to communicate model behavior and decisions clearly to both technical and non‑technical audiences. Proven track record of driving measurable business impact.
Preferred Skills
Experience in logistics (Ocean, Truckload), supply chain, or high‑volume operational systems
Experience with geospatial data, routing, and tracking systems
Experience with anomaly detection, fraud modeling, ETA prediction
Experience building internal platforms or tools for DS teams
What Success Looks Like (6–12 Months)
Deliver 2 high‑impact ML capabilities with measurable customer value
Establish standardized experimentation, monitoring, and RCA workflows
Introduce GenAI/agentic capabilities that improve productivity and insight generation
Reduce time‑to‑production and increase reuse across DS teams
Drive measurable improvements in model performance and system reliability
In‑office Commitment
This position requires a commitment to contribute to our collaborative culture by working in‑office three days weekly.
Diversity & Inclusion
At project44, we’re designing the future of how the world moves and is connected through trade and global supply chains. As we work to deliver a truly world‑class product and experience, we are also intentionally building teams that reflect the unique communities we serve. We’re focused on creating a company where all team members can bring their authentic selves to work every day.
We’re building a company that every one of us at project44 is proud to work for, and our journey of becoming a more diverse, equitable and inclusive organization, where all have a sense of belonging, is shaped through the actions of our leadership, global teams, and individual team members. We are resolute in our belief that each team member has an equal responsibility to mold and uphold our culture.
Equal Opportunity Employer
project44 is an equal opportunity employer seeking to enrich our work environment by creating opportunities for individuals of all backgrounds and experiences to thrive. If you share our values and our passion for helping the way the world moves, we’d love to review your application! For any accommodation needed during the hiring process, please email recruiting@project44.com. Even if you don’t meet 100% of the above job description you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements.
More about project44
Since 2014, project44 has been transforming the way one of the largest, most important global industries does business. As transportation and logistics continue to evolve and customer expectations around delivery become more demanding, industry technology must rise to the occasion. In just a few short years, we have created a digital infrastructure that eliminates the inefficiencies caused by dated technology and manual processes. Our Advanced Visibility Platform is used by the world’s leading brands to track shipments, collaborate with supply chain partners, drive operational efficiencies, and create outstanding customer experiences.
#J-18808-Ljbffr
In Summary: Project44 is looking for a Staff Machine Learning Engineer to join our engineering team . The role sits at the intersection of applied modeling, platform thinking, and production impact, with a mandate to both ship high‑value ML capabilities and build reusable Data Science platform primitives that scale across teams . You will work in a fast-paced Agile environment designing, building, and implementing best-in-class integrations .
En Español: Desafiamos el status quo porque sabemos que una mejor cadena de suministro no es sólo posible, sino esencial. Mejor para nuestros clientes. Mejores para su negocio. Mejo para el mundo. Con nuestra Plataforma de Inteligencia Decisional, Movimiento , estamos redefiniendo cómo funcionan las cadenas globales de suministros. Transformando los datos logísticos fragmentados en información impulsada por inteligencia artificial en tiempo real, capacitamos a las empresas para conectarse instantáneamente, ver claramente, actuar decisivamente y automatizarse con inteligencia. Nuestra AI de la cadena de Suministración mejora la visibilidad, impulsa una ejecución más inteligente y desbloquea aplicaciones de próxima generación que mantienen avances empresariales. Este papel se sitúa en la intersección del modelado aplicado, el pensamiento de las plataformas y el impacto productivo. Trabajará estrechamente con los equipos de Ciencias de Datos, Ingeniería MLAI, Engeniería, Plataforma y Datos de Producción para entregar sistemas de grado de producción y establecer un enfoque escalable y reutilizable al desarrollo de IA a través de equipos. Además, este rol impulsará la integración de AI generativa, LLM e sistemas agentes en flujos de trabajo centrales que permitan el diagnóstico basado en razonamientos, automatización y soporte inteligente de decisiones en toda la cadena de suministro SQL. Usted trabajará en estrecha colaboración con equipos de ciencias de datos, MLAI ingeniería, ingeniería de tecnología, plataforma y datos para ofrecer sistemas de nivel de producción, así como establecer una aproximación escalablable y repetible al desarrollo AI en P44. Fuerte comprensión de la evaluación, las barreras y el despliegue seguro de los sistemas GenAI. Sistemas e Ingeniería Mental Familiarización con sistemas distribuidos, API y patrones de implementación, con la capacidad de escribir código limpio y de calidad productiva. Rigor analítico y diagnóstico fuerte habilidad para evaluar el rendimiento del modelo, detectar casos extremos, ejecutar análisis de causas raíz y diseñar marcos sólidos de monitoreo y evaluación. Calidad de datos y conciencia de señales manejo de datos confusos y experiencias reales, incluidas derivaciones, sesgos, carencias y anomalías, junto con herramientas y técnicas para detectar y resolver estos problemas. Modelado juicio & trade-offs Capacidad para identificar cuándo utilizar ML versus heurística y diseño de soluciones híbridas pragmáticas . Experiencia en logística (oceano, carga de camión), cadena de suministro o sistemas operativos de alto volumen experiencia con datos geográficos, roteamiento y sistemas de seguimiento experiencia con la detección de anomalías, modelado de fraudes, predicción ETA experiencia construyendo plataformas u herramientas internas para los equipos DS ¿Qué aspecto tiene el éxito (612 meses) Entregar 2 capacidades ML de alto impacto con valor al cliente medible Establecer experimentos estandarizados, monitoreo y flujos de trabajo RCA Introducir capacidades GenAI/agente que mejoran la productividad y generación de conocimientos Reducir el tiempo a producción e incrementar la reutilización Mejoras mensurables del rendimiento y la fiabilidad del sistema En la oficina Compromiso esta posición exige un compromiso para contribuir a nuestros equipos distribuidores de productos mediante una cultura de trabajo mesurable. Estamos enfocados en crear una empresa donde todos los miembros del equipo puedan aportar su auténtico ser a trabajar cada día. En Project44 estamos construyendo una compañía para la que cada uno de nosotros está orgulloso de trabajar, y nuestro viaje hacia convertirse en una organización más diversa, equitativa e inclusiva, donde todos tengan un sentido de pertenencia, se forma a través de las acciones de nuestros líderes, equipos globales y miembros individuales del equipo. En sólo unos pocos años, hemos creado una infraestructura digital que elimina las ineficiencias causadas por la tecnología anticuada y los procesos manuales. Nuestra Plataforma de Visibilidad Avanzada es utilizada por marcas líderes del mundo para rastrear envíos, colaborar con socios de la cadena de suministro, aumentar la eficiencia operativa y crear experiencias excepcionales para los clientes. #J-18808-Ljbffr
With our Decision Intelligence Platform, Movement , we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next‑gen applications that keep businesses moving forward.
Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.
If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk.
Description
project44 is looking for a Staff Machine Learning Engineer to join our engineering team. You will work in a fast-paced Agile environment designing, building, and implementing best-in-class integrations to accelerate how project44 connects to the world’s logistics networks.
About the Role
Staff ML Engineer to lead the development of next‑generation AI/ML systems at Project44, spanning ETA, risk, anomaly detection, and supply chain intelligence. This role sits at the intersection of applied modeling, platform thinking, and production impact, with a mandate to both ship high‑value ML capabilities and build reusable Data Science platform primitives that scale across teams.
In addition, this role will drive the integration of Generative AI, LLMs, and agentic systems into core workflows—enabling reasoning‑driven diagnostics, automation, and intelligent decision support across the supply chain.
You will work closely with Data Science, ML Engineering, Data Engineering, Platform, and Product teams to deliver production‑grade systems and establish a scalable, repeatable approach to AI development at P44.
What You’ll Do
Drive High‑Impact ML Systems – Lead end‑to‑end development of models for ETA, risk, anomaly, and fraud—leveraging advanced techniques (embeddings, transformers, hybrid models).
Build Data Science as a Platform – Develop reusable ML infrastructure (features, experimentation, deployment, monitoring) to scale model development and reduce time‑to‑production.
Lead GenAI & Agentic Systems – Build LLM‑powered solutions (RAG, diagnostics, automation, coding agents) and establish guardrails, evaluation, and explainability.
Translate Business Problems into ML Solutions – Convert customer workflows into well‑defined ML problems and ensure measurable business impact.
Drive Experimentation & Evaluation – Establish strong offline/online evaluation frameworks tied to business outcomes.
Collaborate Across Engineering – Partner with MLE and DE to build scalable, reliable systems across the ML lifecycle.
What We’re Looking For
Experience 8–10+ years in Data Science / Applied ML with a strong track record of building and deploying production‑grade ML systems.
Core Modeling & Technical Expertise – Deep expertise across tree‑based models, transformers, probabilistic modeling, and feature engineering, with a strong data‑centric mindset.
Data & Platform Fluency – Proficient in SQL and Python, with hands‑on experience in modern data platforms (Snowflake/Databricks), pipelines (Spark, Airflow), streaming systems (Kafka), and MLOps tooling.
GenAI & LLM Capability – Experience building RAG systems, working with embeddings and vector databases, and developing LLM‑based applications and agentic workflows. Strong understanding of evaluation, guardrails, and safe deployment of GenAI systems.
Systems & Engineering Mindset – Familiarity with distributed systems, APIs, and deployment patterns, with the ability to write clean, production‑quality code.
Analytical Rigor & Diagnostics – Strong ability to evaluate model performance, detect edge cases, run root cause analysis, and design robust monitoring and evaluation frameworks.
Data Quality & Signal Awareness – Experience handling messy, real‑world data, including drift, bias, missingness, and anomalies, along with tools and techniques to detect and address these issues.
Modeling Judgment & Trade‑offs – Ability to identify when to use ML versus heuristics and design pragmatic hybrid solutions. Strong understanding of architectural trade‑offs across models and systems.
Business Impact Orientation – Clear understanding of how ML metrics translate to business outcomes, with the ability to balance trade‑offs across accuracy, scalability, latency, and customer experience.
Leadership & Communication – Strong problem framing, stakeholder influence, and ability to communicate model behavior and decisions clearly to both technical and non‑technical audiences. Proven track record of driving measurable business impact.
Preferred Skills
Experience in logistics (Ocean, Truckload), supply chain, or high‑volume operational systems
Experience with geospatial data, routing, and tracking systems
Experience with anomaly detection, fraud modeling, ETA prediction
Experience building internal platforms or tools for DS teams
What Success Looks Like (6–12 Months)
Deliver 2 high‑impact ML capabilities with measurable customer value
Establish standardized experimentation, monitoring, and RCA workflows
Introduce GenAI/agentic capabilities that improve productivity and insight generation
Reduce time‑to‑production and increase reuse across DS teams
Drive measurable improvements in model performance and system reliability
In‑office Commitment
This position requires a commitment to contribute to our collaborative culture by working in‑office three days weekly.
Diversity & Inclusion
At project44, we’re designing the future of how the world moves and is connected through trade and global supply chains. As we work to deliver a truly world‑class product and experience, we are also intentionally building teams that reflect the unique communities we serve. We’re focused on creating a company where all team members can bring their authentic selves to work every day.
We’re building a company that every one of us at project44 is proud to work for, and our journey of becoming a more diverse, equitable and inclusive organization, where all have a sense of belonging, is shaped through the actions of our leadership, global teams, and individual team members. We are resolute in our belief that each team member has an equal responsibility to mold and uphold our culture.
Equal Opportunity Employer
project44 is an equal opportunity employer seeking to enrich our work environment by creating opportunities for individuals of all backgrounds and experiences to thrive. If you share our values and our passion for helping the way the world moves, we’d love to review your application! For any accommodation needed during the hiring process, please email recruiting@project44.com. Even if you don’t meet 100% of the above job description you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements.
More about project44
Since 2014, project44 has been transforming the way one of the largest, most important global industries does business. As transportation and logistics continue to evolve and customer expectations around delivery become more demanding, industry technology must rise to the occasion. In just a few short years, we have created a digital infrastructure that eliminates the inefficiencies caused by dated technology and manual processes. Our Advanced Visibility Platform is used by the world’s leading brands to track shipments, collaborate with supply chain partners, drive operational efficiencies, and create outstanding customer experiences.
#J-18808-Ljbffr
In Summary: Project44 is looking for a Staff Machine Learning Engineer to join our engineering team . The role sits at the intersection of applied modeling, platform thinking, and production impact, with a mandate to both ship high‑value ML capabilities and build reusable Data Science platform primitives that scale across teams . You will work in a fast-paced Agile environment designing, building, and implementing best-in-class integrations .
En Español: Desafiamos el status quo porque sabemos que una mejor cadena de suministro no es sólo posible, sino esencial. Mejor para nuestros clientes. Mejores para su negocio. Mejo para el mundo. Con nuestra Plataforma de Inteligencia Decisional, Movimiento , estamos redefiniendo cómo funcionan las cadenas globales de suministros. Transformando los datos logísticos fragmentados en información impulsada por inteligencia artificial en tiempo real, capacitamos a las empresas para conectarse instantáneamente, ver claramente, actuar decisivamente y automatizarse con inteligencia. Nuestra AI de la cadena de Suministración mejora la visibilidad, impulsa una ejecución más inteligente y desbloquea aplicaciones de próxima generación que mantienen avances empresariales. Este papel se sitúa en la intersección del modelado aplicado, el pensamiento de las plataformas y el impacto productivo. Trabajará estrechamente con los equipos de Ciencias de Datos, Ingeniería MLAI, Engeniería, Plataforma y Datos de Producción para entregar sistemas de grado de producción y establecer un enfoque escalable y reutilizable al desarrollo de IA a través de equipos. Además, este rol impulsará la integración de AI generativa, LLM e sistemas agentes en flujos de trabajo centrales que permitan el diagnóstico basado en razonamientos, automatización y soporte inteligente de decisiones en toda la cadena de suministro SQL. Usted trabajará en estrecha colaboración con equipos de ciencias de datos, MLAI ingeniería, ingeniería de tecnología, plataforma y datos para ofrecer sistemas de nivel de producción, así como establecer una aproximación escalablable y repetible al desarrollo AI en P44. Fuerte comprensión de la evaluación, las barreras y el despliegue seguro de los sistemas GenAI. Sistemas e Ingeniería Mental Familiarización con sistemas distribuidos, API y patrones de implementación, con la capacidad de escribir código limpio y de calidad productiva. Rigor analítico y diagnóstico fuerte habilidad para evaluar el rendimiento del modelo, detectar casos extremos, ejecutar análisis de causas raíz y diseñar marcos sólidos de monitoreo y evaluación. Calidad de datos y conciencia de señales manejo de datos confusos y experiencias reales, incluidas derivaciones, sesgos, carencias y anomalías, junto con herramientas y técnicas para detectar y resolver estos problemas. Modelado juicio & trade-offs Capacidad para identificar cuándo utilizar ML versus heurística y diseño de soluciones híbridas pragmáticas . Experiencia en logística (oceano, carga de camión), cadena de suministro o sistemas operativos de alto volumen experiencia con datos geográficos, roteamiento y sistemas de seguimiento experiencia con la detección de anomalías, modelado de fraudes, predicción ETA experiencia construyendo plataformas u herramientas internas para los equipos DS ¿Qué aspecto tiene el éxito (612 meses) Entregar 2 capacidades ML de alto impacto con valor al cliente medible Establecer experimentos estandarizados, monitoreo y flujos de trabajo RCA Introducir capacidades GenAI/agente que mejoran la productividad y generación de conocimientos Reducir el tiempo a producción e incrementar la reutilización Mejoras mensurables del rendimiento y la fiabilidad del sistema En la oficina Compromiso esta posición exige un compromiso para contribuir a nuestros equipos distribuidores de productos mediante una cultura de trabajo mesurable. Estamos enfocados en crear una empresa donde todos los miembros del equipo puedan aportar su auténtico ser a trabajar cada día. En Project44 estamos construyendo una compañía para la que cada uno de nosotros está orgulloso de trabajar, y nuestro viaje hacia convertirse en una organización más diversa, equitativa e inclusiva, donde todos tengan un sentido de pertenencia, se forma a través de las acciones de nuestros líderes, equipos globales y miembros individuales del equipo. En sólo unos pocos años, hemos creado una infraestructura digital que elimina las ineficiencias causadas por la tecnología anticuada y los procesos manuales. Nuestra Plataforma de Visibilidad Avanzada es utilizada por marcas líderes del mundo para rastrear envíos, colaborar con socios de la cadena de suministro, aumentar la eficiencia operativa y crear experiencias excepcionales para los clientes. #J-18808-Ljbffr