Associate

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., Tensor Flow, 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.

Job number: P-102290 Profession: Other

Experience: 2-5 Years