Unclassified - New York, NY

posted about 1 month ago

Full-time - Mid Level
New York, NY

About the position

Currently, we are seeking an exceptional Machine Learning Engineer to join our rapidly growing AI practice at GlobalTech Consulting, a leading international management consulting firm. In this role, you will work on diverse, high-impact projects for global clients, developing and deploying machine learning models that solve real-world business problems. You will collaborate with cross-functional teams of data scientists, software engineers, and business consultants to deliver end-to-end ML solutions that drive business value. As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing machine learning models for various applications, including predictive analytics, natural language processing, computer vision, and recommendation systems. You will work closely with data engineers to build robust data pipelines and ensure high-quality data for model training and inference. Additionally, you will collaborate with software engineers to integrate ML models into production systems and develop scalable ML infrastructure. Your role will also involve conducting experimentation and research to improve model performance and explore new ML techniques. You will be expected to communicate complex technical concepts to both technical and non-technical stakeholders, mentor junior team members, and contribute to the growth of our AI practice. Staying current with the latest advancements in ML/AI and evaluating new technologies for potential implementation in client projects will be crucial to your success in this position.

Responsibilities

  • Design, develop, and implement machine learning models for various applications, including predictive analytics, natural language processing, computer vision, and recommendation systems
  • Collaborate with data engineers to build robust data pipelines and ensure high-quality data for model training and inference
  • Work closely with software engineers to integrate ML models into production systems and develop scalable ML infrastructure
  • Conduct experimentation and research to improve model performance and explore new ML techniques
  • Communicate complex technical concepts to both technical and non-technical stakeholders
  • Mentor junior team members and contribute to the growth of our AI practice
  • Stay current with the latest advancements in ML/AI and evaluate new technologies for potential implementation in client projects

Requirements

  • Master's or Ph.D. in Computer Science, Machine Learning, or a related field
  • 5+ years of experience in developing and deploying machine learning models in production environments
  • Strong programming skills in Python; experience with PyTorch or TensorFlow
  • Expertise in machine learning algorithms, deep learning architectures, and statistical modeling
  • Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, or Google Cloud Platform)
  • Familiarity with MLOps practices and tools for model versioning, monitoring, and deployment
  • Excellent problem-solving skills and ability to translate business requirements into technical solutions
  • Strong communication and presentation skills, with the ability to explain complex concepts to diverse audiences
  • Willingness to travel up to 25% of the time to client sites

Nice-to-haves

  • Experience in consulting or client-facing roles
  • Knowledge of multiple industries (e.g., finance, healthcare, retail) and their specific ML applications
  • Contributions to open-source ML projects or research publications
  • Experience with AutoML tools and platforms
  • Proficiency in additional programming languages (e.g., Java, C++)

Benefits

  • Competitive salary and performance-based bonuses
  • Comprehensive health, dental, and vision insurance
  • 401(k) with company match
  • Generous paid time off and flexible work arrangements
  • Continuous learning opportunities, including conference attendance and training budgets
  • Global mobility programs and international career opportunities
  • Collaborative and innovative work environment
  • Opportunity to work on cutting-edge projects with world-class clients
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