Machine Learning Engineer Job at MH Techin in New York
MH Techin, New York, NY, United States
Location: New York, NY (Remote)
Company: MHTECHIN
️ Experience Level: 2 Years.
Job Type: Full-time
About Us:
At MHTECHIN, we leverage cutting-edge machine learning and AI to solve real-world problems and deliver innovative solutions. We are looking for passionate engineers who are eager to design, build, and deploy ML models that make a tangible impact. Join our team in New York and work in a collaborative, fast-paced environment where your ideas can shape the future.
Role Overview:
As a Machine Learning Engineer , you will develop and implement machine learning models and algorithms, analyze complex datasets, and collaborate with cross-functional teams to integrate AI solutions into products. This role is perfect for individuals who are curious, analytical, and enthusiastic about the latest advancements in AI and ML.
Key Responsibilities:
Design, develop, and deploy machine learning models for various applications.
Work with structured and unstructured data to create predictive models and analytics solutions.
Collaborate with data engineers, software developers, and business teams to integrate ML solutions into production systems.
Optimize model performance, scalability, and reliability.
Conduct research on new algorithms, techniques, and ML frameworks .
Maintain documentation of models, experiments, and workflows for knowledge sharing.
Participate in code reviews, model evaluations, and performance tuning.
Required Skills & Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field .
Knowledge of machine learning algorithms, neural networks, and deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Experience in Python, R, or Java for ML development.
Understanding of data preprocessing, feature engineering, and model evaluation metrics .
Familiarity with cloud platforms like AWS, GCP, or Azure is a plus.
Strong problem-solving, analytical, and communication skills.
Ability to work collaboratively in a fast-paced, team-oriented environment .
Why Join Us:
Work on innovative projects with real-world impact.
Collaborate with experienced ML engineers and researchers .
Opportunities for career growth, skill development, and certifications .
Exposure to state-of-the-art tools, frameworks, and cloud platforms .
Dynamic, inclusive, and growth-oriented work culture in New York City .
How to Apply:
Submit your application via careers portal.
#J-18808-Ljbffr
In Summary: At MHTECHIN, we leverage cutting-edge machine learning and AI to solve real-world problems and deliver innovative solutions . We are looking for passionate engineers who are eager to design, build, and deploy ML models that make a tangible impact . Join our team in New York and work in a collaborative, fast-paced environment .
En Español: Ubicación: Nueva York, NY (Remote) Empresa: MHTECHIN ️ Nivel de experiencia: 2 años. Tipo de trabajo: A tiempo completo Sobre nosotros: En MHTECIN, aprovechamos el aprendizaje automático y la IA de vanguardia para resolver problemas del mundo real y ofrecer soluciones innovadoras. Buscamos ingenieros apasionados que estén ansiosos por diseñar, construir e implementar modelos ML que tengan un impacto tangible. Únete a nuestro equipo en New York y trabaja en un entorno colaborativo y rápido donde tus ideas puedan dar forma al futuro. Este papel es perfecto para las personas que son curiosas, analíticas y entusiastas sobre los últimos avances en IA y ML. Responsabilidades clave: Diseñar, desarrollar e implementar modelos de aprendizaje automático para diversas aplicaciones. Trabajar con datos estructurados y no estructurales para crear modelos predictivos y soluciones de análisis. Colaborar con ingenieros de datos, desarrolladores de software y equipos empresariales para integrar soluciones ML en sistemas de producción. Optimizar el rendimiento del modelo, la escalabilidad y la fiabilidad. Realizar investigaciones sobre nuevos algoritmos, técnicas y trabajos ML. Mantener documentación de modelos, experimentos y flujos de trabajo para compartir conocimientos. Participar en revisiones de código, evaluaciones de modelos y sintonización. Qualificaciones requeridas: Licenciatura o Maestría en Tecnologías Usadas, Estadísticas, Conocimiento de Datos .
Company: MHTECHIN
️ Experience Level: 2 Years.
Job Type: Full-time
About Us:
At MHTECHIN, we leverage cutting-edge machine learning and AI to solve real-world problems and deliver innovative solutions. We are looking for passionate engineers who are eager to design, build, and deploy ML models that make a tangible impact. Join our team in New York and work in a collaborative, fast-paced environment where your ideas can shape the future.
Role Overview:
As a Machine Learning Engineer , you will develop and implement machine learning models and algorithms, analyze complex datasets, and collaborate with cross-functional teams to integrate AI solutions into products. This role is perfect for individuals who are curious, analytical, and enthusiastic about the latest advancements in AI and ML.
Key Responsibilities:
Design, develop, and deploy machine learning models for various applications.
Work with structured and unstructured data to create predictive models and analytics solutions.
Collaborate with data engineers, software developers, and business teams to integrate ML solutions into production systems.
Optimize model performance, scalability, and reliability.
Conduct research on new algorithms, techniques, and ML frameworks .
Maintain documentation of models, experiments, and workflows for knowledge sharing.
Participate in code reviews, model evaluations, and performance tuning.
Required Skills & Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field .
Knowledge of machine learning algorithms, neural networks, and deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Experience in Python, R, or Java for ML development.
Understanding of data preprocessing, feature engineering, and model evaluation metrics .
Familiarity with cloud platforms like AWS, GCP, or Azure is a plus.
Strong problem-solving, analytical, and communication skills.
Ability to work collaboratively in a fast-paced, team-oriented environment .
Why Join Us:
Work on innovative projects with real-world impact.
Collaborate with experienced ML engineers and researchers .
Opportunities for career growth, skill development, and certifications .
Exposure to state-of-the-art tools, frameworks, and cloud platforms .
Dynamic, inclusive, and growth-oriented work culture in New York City .
How to Apply:
Submit your application via careers portal.
#J-18808-Ljbffr
In Summary: At MHTECHIN, we leverage cutting-edge machine learning and AI to solve real-world problems and deliver innovative solutions . We are looking for passionate engineers who are eager to design, build, and deploy ML models that make a tangible impact . Join our team in New York and work in a collaborative, fast-paced environment .
En Español: Ubicación: Nueva York, NY (Remote) Empresa: MHTECHIN ️ Nivel de experiencia: 2 años. Tipo de trabajo: A tiempo completo Sobre nosotros: En MHTECIN, aprovechamos el aprendizaje automático y la IA de vanguardia para resolver problemas del mundo real y ofrecer soluciones innovadoras. Buscamos ingenieros apasionados que estén ansiosos por diseñar, construir e implementar modelos ML que tengan un impacto tangible. Únete a nuestro equipo en New York y trabaja en un entorno colaborativo y rápido donde tus ideas puedan dar forma al futuro. Este papel es perfecto para las personas que son curiosas, analíticas y entusiastas sobre los últimos avances en IA y ML. Responsabilidades clave: Diseñar, desarrollar e implementar modelos de aprendizaje automático para diversas aplicaciones. Trabajar con datos estructurados y no estructurales para crear modelos predictivos y soluciones de análisis. Colaborar con ingenieros de datos, desarrolladores de software y equipos empresariales para integrar soluciones ML en sistemas de producción. Optimizar el rendimiento del modelo, la escalabilidad y la fiabilidad. Realizar investigaciones sobre nuevos algoritmos, técnicas y trabajos ML. Mantener documentación de modelos, experimentos y flujos de trabajo para compartir conocimientos. Participar en revisiones de código, evaluaciones de modelos y sintonización. Qualificaciones requeridas: Licenciatura o Maestría en Tecnologías Usadas, Estadísticas, Conocimiento de Datos .