About Recut

Overview

We are seeking a highly skilled and experienced Senior Machine Learning Engineer to lead our machine learning initiatives and contribute to the development of cutting-edge AI solutions. As a key member of our team, you will be responsible for designing, implementing, and deploying machine learning models that drive innovation and deliver tangible business impact.

Responsibilities

• Machine Learning Model Development: Lead the end-to-end development of machine learning models, from problem formulation and data collection to model training, evaluation, and deployment.
• Algorithm Selection and Optimization: Identify and implement appropriate machine learning algorithms and techniques to address specific business problems, ensuring optimal performance and scalability.
• Data Preprocessing and Feature Engineering: Work closely with data engineers and domain experts to preprocess and analyze data, extract relevant features, and prepare datasets for model training.
• Model Training and Evaluation: Train, validate, and fine-tune machine learning models using large-scale datasets, employing best practices for model evaluation, validation, and hyperparameter optimization.
• Deployment and Integration: Collaborate with software engineers to deploy machine learning models into production environments, ensuring seamless integration with existing systems and applications.
• Performance Monitoring and Maintenance: Monitor the performance of deployed models, conduct periodic evaluations, and implement improvements and updates as needed to maintain model effectiveness and reliability.
• Research and Innovation: Stay abreast of the latest developments in machine learning and artificial intelligence, conduct research experiments, and explore new techniques and methodologies to drive innovation and continuous improvement.
• Mentorship and Leadership: Provide guidance, mentorship, and technical leadership to junior members of the machine learning team, fostering a culture of collaboration, learning, and growth.

Requirements:

• Education: Bachelor's degree or higher in Computer Science, Electrical Engineering, Mathematics, Statistics, or related field. Advanced degree (Master's or Ph.D.) preferred.
• Experience: Minimum of 5 years of professional experience in machine learning engineering or related roles, with a proven track record of designing, implementing, and deploying machine learning solutions in real-world applications.
• Technical Skills:
  • Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
  • Strong programming skills in Python and proficiency with data manipulation and analysis libraries (e.g., pandas, NumPy).
  • Experience with distributed computing frameworks (e.g., Apache Spark) and cloud platforms (e.g., AWS, Google Cloud Platform, Microsoft Azure).
  • Familiarity with software development best practices, version control systems (e.g., Git), and agile methodologies.
• Problem-Solving Skills: Strong analytical and problem-solving skills, with the ability to translate business requirements into actionable technical solutions and deliverables.
• Communication and Collaboration: Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams, stakeholders, and leadership.
• Leadership Abilities: Demonstrated leadership experience, with the ability to lead and mentor junior team members, drive technical initiatives, and influence decision-making processes.

Benefits

• Competitive salary package.
• Health insurance and other benefits.
• Opportunities for professional development and growth.
• Dynamic and collaborative work environment with a focus on creativity and innovation.
• Equity compensation

Join our team and contribute your creative vision to help us tell compelling stories through video! Please send your resume, portfolio and a quick note to support@recut.tv to apply!