Machine Learning Engineer

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Overview

Talanture, a leading AI-powered talent intelligence and analytics platform, is seeking a skilled and innovative Machine Learning Engineer to join our team. In this role, you will be responsible for developing and implementing machine learning models to improve our talent analytics capabilities, enabling our clients to build high-performing teams through data-driven decisions.

Role Impact

As a Machine Learning Engineer at Talanture, you will have a direct impact on the success of our clients by creating machine learning models that enhance our talent analytics capabilities. Your work will help organizations make informed decisions regarding talent acquisition, development, and retention.

Key Responsibilities

1. Design, develop, and implement machine learning models to improve Talanture's talent analytics platform
2. Collaborate with data scientists, engineers, and product managers to define machine learning requirements and optimize model performance
3. Maintain and update existing machine learning models, incorporating new features and data sources as needed
4. Ensure models are robust, scalable, and reliable through rigorous testing and validation
5. Proactively identify opportunities for model improvement and innovation, driving the development of cutting-edge machine learning solutions

Required Qualifications

1. Master's degree in Computer Science, Engineering, Mathematics, or a related field
2. 3+ years of experience as a Machine Learning Engineer or related role
3. Proficiency in machine learning frameworks such as TensorFlow, Keras, PyTorch, or Scikit-learn
4. Experience with big data technologies, such as Spark, Hadoop, or similar platforms
5. Strong programming skills in Python or R with experience in software development best practices

Preferred Qualifications

1. Ph.D. in Computer Science, Engineering, Mathematics, or a related field
2. Experience in talent analytics, human resources, or recruitment industry
3. Expertise in deep learning, natural language processing, or computer vision techniques
4. Experience working with cloud platforms (e.g., AWS, GCP, Azure)

Skills and Competencies

1. Strong problem-solving and critical thinking abilities
2. Excellent communication and collaboration skills
3. Adaptability to emerging trends and technologies in machine learning and AI
4. Passion for continuous learning and staying up-to-date with industry developments
5. Ability to work in a fast-paced, dynamic environment

Day-in-the-Life

A day in the life of a Machine Learning Engineer at Talanture involves collaborating with a cross-functional team to develop and refine machine learning models. You will start your day by reviewing performance metrics and discussing potential areas for improvement with data scientists and engineers. Throughout the day, you will design, implement, and test machine learning algorithms, ensuring they meet performance, scalability, and reliability standards. Additionally, you will stay updated on the latest trends and technologies in the machine learning space, identifying opportunities for innovation and driving the continuous improvement of Talanture's talent analytics platform.

Growth Opportunities

At Talanture, you will have the opportunity to work with cutting-edge AI technology and be part of a rapidly growing company in the talent intelligence and analytics industry. As a Machine Learning Engineer, you will be encouraged to explore new techniques, collaborate with subject matter experts, and contribute to the development of groundbreaking machine learning solutions that shape the future of talent acquisition and management.

Compensation

Talanture offers a competitive salary and benefits package, including equity incentives, health insurance, paid time off, and professional development opportunities.