27 Ofertas de Sr Data Scientist en Ciudad de México
Sr. Data Scientist @ CDMX
Hoy
Trabajo visto
Descripción Del Trabajo
Conócenos
Somos una empresa global, orgullosamente mexicana, con más de 53 años en la industria del entretenimiento. Contamos con más de 800 cines y más de 6,677 salas en 18 países: México, Argentina, Bahréin, Brasil, Chile, Colombia, Costa Rica, El Salvador, España, Estados Unidos, Guatemala, Honduras, India, Omán, Panamá, Perú y Emiratos Árabes Unidos.
Somos más de 33,000 Cinepolitos a nivel global; y gracias a la experiencia de nuestros Cinepolitos hemos logrado ser el 3er lugar mundial en número de salas, 2º lugar mundial en número de boletos vendidos y 1er lugar mundial en ocupación promedio por sala.
Para seguir creciendo y creando momentos inolvidables, buscamos personas como tú, que quieran escribir su historia con nosotros e iluminar la película de sus vidas con grandes sonrisas y momentos inolvidables.
Data Scientist SR
Ubicación: Santa Fe (CDMX)
Modalidad Presencial
Tu próximo rol
Como SR Data Scientist, serás responsable de diseñar, e implementar proyectos enfocados a incentivar la asistencia al cine, pronósticos de asistencia, optimización de oferta de productos, evaluación del impacto de promociones y cambios de precios, y modelos de recomendaciones de películas y productos. Esto a través de lenguajes computacionales (Python/Pyspark/R) aplicados al manejo de datos, aprendizaje de máquinas, inferencia estadística y métodos econométricos.
Imagínate haciendo esto
- Alinear el trabajo individual y del equipo a las iniciativas estratégicas de la compañía.
- Liderar análisis complejos, tales como regresiones y ejercicios de causalidad, de datos internos y externos como ventas en taquilla, dulcería, transacciones digitales, market share.
- Desarrollar, implementar y optimizar modelos predictivos y algoritmos para distintos casos de uso: la programación de películas, estrategias de marketing, fidelización y gestión de inventario.
- Utilizar datos, algoritmos, y modelos analíticos para tomar decisiones estratégicas, ofreciendo recomendaciones basadas en evidencia.
- Implementar soluciones avanzadas de machine learning y técnicas de inteligencia artificial para mejorar la personalización de ofertas y la eficiencia operativa.
- Colaborar con equipos multidisciplinarios, como marketing, operaciones y comercialización, para resolución de problemas de negocio que puedan resolverse con análisis de datos.
- Diseñar y crear presentaciones y documentos que informen y faciliten la toma de decisiones por parte de equipos técnicos, gerentes y ejecutivos.
- Actuar como mentor para los miembros junior del equipo, compartiendo buenas prácticas y ofreciendo orientación técnica.
¿Qué necesitas?
- Ingeniería en Matemáticas, Actuaría, Economía, o afin (titulado).
- Dominio avanzado de Python, Pyspark, R
- Experiencia de 4 años comoSenior Data Scientist o puesto similar.
- Dispinibilidad para trabajar en modalidad presencial L-V.
- Excelentes habilidades analíticas y capacidad para resolver problemas complejos utilizando datos.
- Capacidad para gestionar múltiples proyectos simultáneamente.
- Habilidad para comunicar conceptos técnicos de manera clara y efectiva a audiencias no técnicas.
- Capacidad para trabajar con grandes volúmenes de datos y generar insights accionables.
- Experiencia práctica con modelos predictivos, machine learning, inferencia causal y técnicas estadísticas avanzadas.
Tenemos un reto para quienes quieran
- Trabajar en una empresa global orgullosamente mexicana
- Desarrollar tus habilidades y poder aprender de los mejores
- Experimentar lo que es realmente trabajar en un entorno dinámico, divertido y acelerado.
- Desarrollar y escalar proyectos de alto impacto para la organización
Te proponemos
- Ofrecemos un excelente paquete de compensación y beneficios, además, tendrás la oportunidad de trabajar con un grupo global experimentado de profesionales.
- Dar el siguiente paso en tu carrera profesional junto a un equipo global, productivo y multi cultural.
- En Cinépolis tenemos el claro objetivo de impulsar la diversidad y la inclusión en todas las dimensiones: género, LGBTQ+, habilidades, etnia y generaciones. Juntos nos embarcamos en un viaje en el que todos y cada uno de nosotros, individual y colectivamente, acogemos y celebramos las diferencias individuales.
Te ofrecemos
- Beneficios (seguro gastos médicos mayores, prestaciones de ley, vacaciones)
- Salario emocional (día de cumpleaños, días flotantes, tarde libre)
- Horario Flexible
- Capacitación constante
Conoce más sobre cómo es trabajar en Cinépolis, visítanos en:
Cinépolis se enorgullece de ser un empleador que ofrece igualdad de oportunidades de empleo. No discriminamos por motivos de raza, religión, color, origen nacional, sexo (incluido el embarazo, el parto, decisiones de salud reproductiva o condiciones médicas relacionadas), orientación sexual, identidad de género, expresión de género, edad, condición de veterano protegido, condición como individuo con discapacidad, información genética, opiniones o actividad política, u otras características protegidas legalmente aplicables.
Cinépolis no acepta referencias o currículums no solicitados de ninguna fuente que no sea directamente de los candidatos o proveedores preferidos. No consideraremos referencias no solicitadas.
Sr. Data Scientist @ CDMX
Hoy
Trabajo visto
Descripción Del Trabajo
Conócenos
Somos una empresa global, orgullosamente mexicana, con más de 53 años en la industria del entretenimiento. Contamos con más de 800 cines y más de 6,677 salas en 18 países: México, Argentina, Bahréin, Brasil, Chile, Colombia, Costa Rica, El Salvador, España, Estados Unidos, Guatemala, Honduras, India, Omán, Panamá, Perú y Emiratos Árabes Unidos.
Somos más de 33,000 Cinepolitos a nivel global; y gracias a la experiencia de nuestros Cinepolitos hemos logrado ser el 3er lugar mundial en número de salas, 2º lugar mundial en número de boletos vendidos y 1er lugar mundial en ocupación promedio por sala.
Para seguir creciendo y creando momentos inolvidables, buscamos personas como tú, que quieran escribir su historia con nosotros e iluminar la película de sus vidas con grandes sonrisas y momentos inolvidables.
Data Scientist SR
Ubicación: Santa Fe (CDMX)
Modalidad Presencial
Tu próximo rol
Como SR Data Scientist, serás responsable de diseñar, e implementar proyectos enfocados a incentivar la asistencia al cine, pronósticos de asistencia, optimización de oferta de productos, evaluación del impacto de promociones y cambios de precios, y modelos de recomendaciones de películas y productos. Esto a través de lenguajes computacionales (Python/Pyspark/R) aplicados al manejo de datos, aprendizaje de máquinas, inferencia estadística y métodos econométricos.
¡Imagínate haciendo esto!
- Alinear el trabajo individual y del equipo a las iniciativas estratégicas de la compañía.
- Liderar análisis complejos, tales como regresiones y ejercicios de causalidad, de datos internos y externos como ventas en taquilla, dulcería, transacciones digitales, market share.
- Desarrollar, implementar y optimizar modelos predictivos y algoritmos para distintos casos de uso: la programación de películas, estrategias de marketing, fidelización y gestión de inventario.
- Utilizar datos, algoritmos, y modelos analíticos para tomar decisiones estratégicas, ofreciendo recomendaciones basadas en evidencia.
- Implementar soluciones avanzadas de machine learning y técnicas de inteligencia artificial para mejorar la personalización de ofertas y la eficiencia operativa.
- Colaborar con equipos multidisciplinarios, como marketing, operaciones y comercialización, para resolución de problemas de negocio que puedan resolverse con análisis de datos.
- Diseñar y crear presentaciones y documentos que informen y faciliten la toma de decisiones por parte de equipos técnicos, gerentes y ejecutivos.
- Actuar como mentor para los miembros junior del equipo, compartiendo buenas prácticas y ofreciendo orientación técnica.
¿Qué necesitas?
- Ingeniería en Matemáticas, Actuaría, Economía, o afin (titulado).
- Dominio avanzado de Python, Pyspark, R
- Experiencia de 4 años comoSenior Data Scientist o puesto similar.
- Dispinibilidad para trabajar en modalidad presencial L-V.
- Excelentes habilidades analíticas y capacidad para resolver problemas complejos utilizando datos.
- Capacidad para gestionar múltiples proyectos simultáneamente.
- Habilidad para comunicar conceptos técnicos de manera clara y efectiva a audiencias no técnicas.
- Capacidad para trabajar con grandes volúmenes de datos y generar insights accionables.
- Experiencia práctica con modelos predictivos, machine learning, inferencia causal y técnicas estadísticas avanzadas.
Tenemos un reto para quienes quieran
- Trabajar en una empresa global orgullosamente mexicana
- Desarrollar tus habilidades y poder aprender de los mejores
- Experimentar lo que es realmente trabajar en un entorno dinámico, divertido y acelerado.
- Desarrollar y escalar proyectos de alto impacto para la organización
Te proponemos
- Ofrecemos un excelente paquete de compensación y beneficios, además, tendrás la oportunidad de trabajar con un grupo global experimentado de profesionales.
- Dar el siguiente paso en tu carrera profesional junto a un equipo global, productivo y multi cultural.
- En Cinépolis tenemos el claro objetivo de impulsar la diversidad y la inclusión en todas las dimensiones: género, LGBTQ+, habilidades, etnia y generaciones. Juntos nos embarcamos en un viaje en el que todos y cada uno de nosotros, individual y colectivamente, acogemos y celebramos las diferencias individuales.
Te ofrecemos
- Beneficios (seguro gastos médicos mayores, prestaciones de ley, vacaciones)
- Salario emocional (día de cumpleaños, días flotantes, tarde libre)
- Horario Flexible
- Capacitación constante
Conoce más sobre cómo es trabajar en Cinépolis, visítanos en:
Cinépolis se enorgullece de ser un empleador que ofrece igualdad de oportunidades de empleo. No discriminamos por motivos de raza, religión, color, origen nacional, sexo (incluido el embarazo, el parto, decisiones de salud reproductiva o condiciones médicas relacionadas), orientación sexual, identidad de género, expresión de género, edad, condición de veterano protegido, condición como individuo con discapacidad, información genética, opiniones o actividad política, u otras características protegidas legalmente aplicables.
Cinépolis no acepta referencias o currículums no solicitados de ninguna fuente que no sea directamente de los candidatos o proveedores preferidos. No consideraremos referencias no solicitadas.
Sr. Data Scientist Ii - Ai and Data Science Center
Hoy
Trabajo visto
Descripción Del Trabajo
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-related businesses and capabilities.
Led by Visa’s Chief Data Officer, the Global Data Office coordinates high-impact, complex, company-wide projects related to data business strategy, critical investments, policy development, and marketplace execution. Working closely with Visa’s Chief Privacy Officer, the Technology organization, the wider data community, and the full set of Visa’s global lines of business, the Global Data Office is evolving Visa’s data-related work with momentum and enthusiasm. Driven by its commitment to trusted use of data, Visa is seeking enthusiastic leaders who are change-agents and passionate about the future of data around the world.
The Global AI/ML Product & Platforms team under the Global Data Office is creating the next generation of scalable and responsible AI/ML and Data products and solutions to solve client and consumer problems. We are a cross-functional team of data scientists, product managers, AI and data engineers, program managers focused on generating value for the payments ecosystem. We are dreaming of the next generation of AI features and products.
This position is in the AI and Data Science vertical under the Global AI/ML Product & Platforms team. In this role, you will be part of a Center of Excellence (CoE) team who will solve complex problems for our clients and Visa using appropriate data, AI/ML models and data science techniques. You will also be creating frameworks and assets which can be leveraged by global and regional data science teams across Visa to address business problems.
**Responsibilities include**:
Solve complex problems for our clients and Visa using appropriate data, AI/ML models and data science techniques as part of a Center of Excellence (CoE) team. Create frameworks and assets which can be leveraged by global and regional data science teams across Visa to address business problems.
Technical Leadership:
- Develop and Execute data science capabilities useful for Visa and its clients
- Design and develop large-scale data science systems
- Foster innovation and experimentation within the team
Data Science:
- Stay up-to-date with industry trends and emerging technologies
- Develop and maintain expertise in multiple programming languages and data science tools
Collaboration:
- Work closely with cross-functional teams to integrate data science capabilities
- Communicate complex technical concepts and results to stakeholders
- Influence business decisions with data-driven insights
Technical Expertise:
- Develop and maintain expertise in multiple programming languages (e.g., Python, R, Spark)
- Stay current with industry trends and advancements in data science tools and technologies (e.g., TensorFlow, PyTorch, scikit-learn)
Strategy:
- Execute data science strategy aligned with business goals
- Identify opportunities for data science to drive business impact
Communication:
- Communicate complex technical concepts and results to stakeholders
- Present data science capabilities and results to senior leadership and business partners
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
**Qualifications**
Basic Qualifications
- 8 years of relevant work experience with a bachelor’s degree or at least 5 years of relevant work experience with an Advanced degree (e.g. Master’s, MBA, JD, MD) or 2 years of work experience with a PhD degree
Preferred Qualifications
- 9+ years of relevant work experience with a bachelor’s degree or 7+ years of relevant work experience with an Advanced Degree (e.g. Master’s, MBA, JD, MD) or 3+ years of experience with a PhD
- 6+ years of hands-on experience developin
Machine Learning Engineer
Publicado hace 17 días
Trabajo visto
Descripción Del Trabajo
• Pensum Cerrado, Graduado o estudiante activo de las carreras a fines de Informática. br>• Edad entre 25 a 40 años • De 3 a 5 años de experiencia • Inglés avanzado • Tiempo completo < r>• Modalidad presencial en Ciudad de México • Horario de lunes a viernes de 8:00 am a 6:00 pm < r>
Conocimientos técnicos: br>• Algorithms and models: A strong grasp of various machine learning algorithms, including < r>supervised, unsupervised, and deep learning techniques.
• Deep learning: Understanding deep learning concepts, especially if the role involves areas < r>like computer vision or natural language processing.
• Model lifecycle management: Experience with the entire ML lifecycle, including data < r>preparation, training, evaluation, deployment, and monitoring.
Machine Learning Architect
Hoy
Trabajo visto
Descripción Del Trabajo
We are looking for a highly skilled Senior Machine Learning Engineer to join our team. As a key member of the Data Transformation - Cognitive Engineering team, you will be responsible for building and deploying ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions.
This is an exceptional opportunity to spearhead deployment of AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a global team and be encouraged for thoughtful risk-taking and self-initiative.
Key Responsibilities:
- Design, Develop and Deploy ML powered products and pipelines
- Mentor a team of Senior and Junior data scientists / ML Engineers in delivering large scale projects
- Play a central role in all stages of the AI product development life cycle, including designing Machine Learning systems and model scaling strategies, researching & Implementing ML and Deep learning algorithms for production, running necessary ML tests and benchmarks for model validation, fine-tuning, retraining and scaling existing model deployments, extending existing ML library's and writing packages for reproducing components, partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements, interpreting results and presenting them to business leaders, managing production pipelines for enterprise scale projects, performing code reviews & optimization for your projects and team, and leading and mentoring by example, including project scrums
Requirements:
- Proven track record as a senior / lead ML engineer
- Expert proficiency in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.)
- Excellent exposure to large scale model deployment strategies and tools
- Excellent knowledge of ML & Deep Learning domain
- Solid exposure to Information Retrieval, Web scraping and Data Extraction at scale
- Exposure to the following technologies - R-Shiny/Dash/Streamlit, SQL, Airflow, Redis, Celery, Flask/Django/FastAPI, Scrapy
- Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures
- A Master's / PhD from a recognized institute in a relevant specialization
Benefits:
- Be a part of a global company and build solutions at enterprise scale
- Lead a highly skilled and technically strong team (including leadership)
- Contribute to solving high complexity, high impact problems
- Build production ready pipelines from ideation to deployment
Work Environment:
You will work in a global team and be encouraged for thoughtful risk-taking and self-initiative.
Location: Mexico City (2 days onsite)
Principal Machine Learning Engineer
Ayer
Trabajo visto
Descripción Del Trabajo
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE- Expertise building ML systems with deep expertise in large-scale personalization
- Recognized industry expertise through patents, publications, or significant product impact
- Proven success architecting ML platforms serving billions of predictions in production
- Demonstrated track record of 0→1 innovation in personalization or recommender systems
- Mastery across multiple ML domains including deep learning, causal inference, multi-armed bandits, and graph-based models
10+ years designing, developing, and deploying large-scale machine learning systems with a focus on personalization
YOUR ROLEEstablish the technical vision for personalization at Launch Potato, solving the company’s most complex ML challenges and influencing strategy, architecture, and innovation across teams.
OUTCOMES- Define company-wide personalization strategy and architecture, driving alignment across all ML teams
- Solve critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs
- Design and implement advanced ML solutions using cutting-edge techniques (e.g., graph neural networks, causal models, bandit algorithms)
- Create and enforce ML architecture patterns, design standards, and reusable infrastructure across teams
- Lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIs
- Act as technical mentor to senior ML engineers, guiding complex decision-making and scaling team capability
- Represent Launch Potato’s technical brand externally through speaking engagements, open source contributions, or publications
- Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems
- Visionary Thinking: Defines the future state of ML infrastructure and personalization strategy. Balances deep technical rigor with a strong understanding of product impact.
- Architectural Excellence: Designs scalable, modular systems that support billions of predictions and enable rapid experimentation. Sets high standards for maintainability and performance.
- Technical Influence: Drives decision-making and builds consensus across teams and stakeholders without direct authority. Provides trusted guidance in ambiguous situations.
- Expert-Level Execution: Navigates deep technical complexity while maintaining execution velocity. Translates research insights into production-ready solutions.
- Mentorship & Leadership: Coaches senior engineers, facilitates technical reviews, and raises the technical bar for the entire organization.
- External Thought Leadership: Represents LP in the ML community and contributes to growing its reputation as a leader in ML innovation.
- Curious & Forward-Looking: Constantly explores new approaches to personalization and actively prototypes cutting-edge methodologies.
Want to accelerate your career? Apply now! Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
- Nivel de antigüedad : Director
Sé el primero en saberlo
Acerca de lo último Sr data scientist Empleos en Ciudad de méxico !
Principal Machine Learning Engineer
Ayer
Trabajo visto
Descripción Del Trabajo
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE- Expertise building ML systems with deep expertise in large-scale personalization
- Recognized industry expertise through patents, publications, or significant product impact
- Proven success architecting ML platforms serving billions of predictions in production
- Demonstrated track record of 0→1 innovation in personalization or recommender systems
- Mastery across multiple ML domains including deep learning, causal inference, multi-armed bandits, and graph-based models
10+ years designing, developing, and deploying large-scale machine learning systems with a focus on personalization
YOUR ROLEEstablish the technical vision for personalization at Launch Potato, solving the company’s most complex ML challenges and influencing strategy, architecture, and innovation across teams.
OUTCOMES- Define company-wide personalization strategy and architecture, driving alignment across all ML teams
- Solve critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs
- Design and implement advanced ML solutions using cutting-edge techniques (e.g., graph neural networks, causal models, bandit algorithms)
- Create and enforce ML architecture patterns, design standards, and reusable infrastructure across teams
- Lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIs
- Act as technical mentor to senior ML engineers, guiding complex decision-making and scaling team capability
- Represent Launch Potato’s technical brand externally through speaking engagements, open source contributions, or publications
- Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems
- Visionary Thinking: Defines the future state of ML infrastructure and personalization strategy. Balances deep technical rigor with a strong understanding of product impact.
- Architectural Excellence: Designs scalable, modular systems that support billions of predictions and enable rapid experimentation. Sets high standards for maintainability and performance.
- Technical Influence: Drives decision-making and builds consensus across teams and stakeholders without direct authority. Provides trusted guidance in ambiguous situations.
- Expert-Level Execution: Navigates deep technical complexity while maintaining execution velocity. Translates research insights into production-ready solutions.
- Mentorship & Leadership: Coaches senior engineers, facilitates technical reviews, and raises the technical bar for the entire organization.
- External Thought Leadership: Represents LP in the ML community and contributes to growing its reputation as a leader in ML innovation.
- Curious & Forward-Looking: Constantly explores new approaches to personalization and actively prototypes cutting-edge methodologies.
Want to accelerate your career? Apply now! Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
- Nivel de antigüedad : Director
Senior Artificial Intelligence/machine Learning
Hoy
Trabajo visto
Descripción Del Trabajo
- Strong background in computer science or engineering with 3+ years of experience.
- Knowledge of machine learning, deep learning, and natural language processing.
- Experience with LLMs like GPT and LLama3.
- Proficient in Python and familiar with TensorFlow or PyTorch.
- Good problem-solving skills and ability to work independently and in a team.
- Experience with AI voice programs/products.
- Proficient in cloud services (AWS, Azure, Google Cloud) and container technologies (Docker, Kubernetes).
- Strong communication skills for explaining technical ideas to various audiences.
- Ability to manage product specifications from concept to production.
- Understanding of software design principles, including optimization and performance tuning.
**Company Benefits**:
- Competitive salary and bonuses, including performance-based salary increases.
- Generous paid-time-off policy
- Technology / Office stipend
- Health Coverage
- Flexible working hours
- Work remotely
- Continuing education, training, conferences
- Company-sponsored coursework, exams, and certifications
Being a consultant in our team is a fun, challenging, and rewarding career choice. Your contributions are highly valued by clients, and the work you do often has a direct and significant impact on their business.
You will have the opportunity to work on a variety of projects for our incredible clients, which will accelerate your career growth. You’ll collaborate with modern technologies and work alongside some of the best professionals in the industry!
If you’re eager to be part of an exciting, challenging, and rapidly growing consultancy, we encourage you to apply. #LI-Remote
Senior Artificial Intelligence/machine Learning
Hoy
Trabajo visto
Descripción Del Trabajo
- Strong background in computer science or engineering with 3+ years of experience.
- Knowledge of machine learning, deep learning, and natural language processing.
- Experience with LLMs like GPT and LLama3.
- Proficient in Python and familiar with TensorFlow or PyTorch.
- Good problem-solving skills and ability to work independently and in a team.
- Experience with AI voice programs/products.
- Proficient in cloud services (AWS, Azure, Google Cloud) and container technologies (Docker, Kubernetes).
- Strong communication skills for explaining technical ideas to various audiences.
- Ability to manage product specifications from concept to production.
- Understanding of software design principles, including optimization and performance tuning.
**Company Benefits**:
- Competitive salary and bonuses, including performance-based salary increases.
- Generous paid-time-off policy
- Technology / Office stipend
- Health Coverage
- Flexible working hours
- Work remotely
- Continuing education, training, conferences
- Company-sponsored coursework, exams, and certifications
Being a consultant in our team is a fun, challenging, and rewarding career choice. Your contributions are highly valued by clients, and the work you do often has a direct and significant impact on their business.
You will have the opportunity to work on a variety of projects for our incredible clients, which will accelerate your career growth. You’ll collaborate with modern technologies and work alongside some of the best professionals in the industry!
If you’re eager to be part of an exciting, challenging, and rapidly growing consultancy, we encourage you to apply. #LI-Remote