Associate

Virtusa; New York (NY); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Virtusa in New York, NY is seeking an ML Engineer to design, develop, and deploy machine learning models that drive business solutions. You will work with data scientists and software engineers to implement scalable ML systems.

The role requires 2-5 years of experience in ML, strong knowledge of AI concepts, Python/R, and proficiency with TensorFlow, PyTorch, and Scikit-learn. Familiarity with cloud platforms and data mining techniques is a plus.

Formación

• 2-5 years of experience in machine learning or related roles.
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven track record of deploying ML models in production.

Responsabilidades

• Design and implement machine learning algorithms and models to solve complex business problems.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Optimize and fine-tune existing models for improved performance and accuracy.
• Conduct data preprocessing and feature engineering to enhance model effectiveness.
• Monitor and maintain deployed models, ensuring they perform as expected in production environments.
• Stay updated with the latest trends and advancements in AI and ML technologies.

Conocimientos

AI/ML concepts

Python

R

ML libraries

Cloud platforms

Data mining

Educación

Bachelor's or Master's in Computer Science/ Data Science

Herramientas

TensorFlow

PyTorch

Scikit-learn

AWS

Descripción del empleo

ML Engineer

Location: New York, US Office

Years of Experience: 2-5 Years

Job Summary: We are seeking a skilled ML Engineer with a strong foundation in artificial intelligence and machine learning. The ideal candidate will be responsible for designing, developing, and deploying machine learning models that drive business solutions. You will work closely with data scientists and software engineers to implement scalable and efficient ML systems.

Responsibilities

• Design and implement machine learning algorithms and models to solve complex business problems.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Optimize and fine-tune existing models for improved performance and accuracy.
• Conduct data preprocessing and feature engineering to enhance model effectiveness.
• Monitor and maintain deployed models, ensuring they perform as expected in production environments.
• Stay updated with the latest trends and advancements in AI and ML technologies.

Mandatory Skills

• Strong knowledge of AI and ML concepts, algorithms, and frameworks.
• Proficiency in programming languages such as Python or R.
• Experience with ML libraries and tools (e.g., TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of data structures, data modeling, and data mining techniques.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying ML solutions.

Preferred Skills

• Experience with big data technologies (e.g., Hadoop, Spark).
• Knowledge of deep learning techniques and frameworks.
• Understanding of software development best practices and version control systems (e.g., Git).
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• 2-5 years of experience in machine learning or related roles.
• Proven track record of successfully deploying ML models in production.