Senior Machine Learning Engineer Voice Models

About Us:

Salesfinity is a cutting-edge AI-powered parallel dialer designed to revolutionize the sales process by seamlessly connecting to live human conversations and bypassing automated systems. Our mission is to enhance the efficiency and effectiveness of sales teams by ensuring they spend more time engaging with potential customers rather than navigating through automated responses. We are currently seeking a highly skilled Machine Learning Engineer with deep expertise in voice models to join our innovative team and take our voice detection capabilities to the next level.

Job Description:

Position Overview: As a Senior Machine Learning Engineer specializing in voice models at Salesfinity, you will play a pivotal role in developing, refining, and implementing sophisticated AI models to accurately detect and distinguish live human voices from automated machines. Your work will directly impact our core product, driving improved connection rates and paving the way for meaningful human interactions in the sales domain.

Key Responsibilities:
 Design, develop, and optimize advanced AI models for voice detection and classification.
 Implement machine learning algorithms and voice recognition technologies to enhance the accuracy of distinguishing between live human voices and automated systems.
 Collaborate with cross-functional teams to integrate voice models into our parallel dialing platform.
 Conduct extensive data analysis and processing to train and validate voice models using large datasets.
 Continuously monitor, evaluate, and improve the performance of voice detection systems.
 Research and experiment with state-of-the-art voice recognition techniques and technologies.
 Document and share findings, methodologies, and best practices with the team.
 Provide technical mentorship and guidance to junior engineers and data scientists.

Qualifications:
 Advanced degree (Master's or PhD) in Computer Science, Machine Learning, or a related field.
 Proven experience in developing and deploying voice models and speech recognition systems.
 Strong proficiency in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
 Expertise in signal processing, speech recognition, and natural language processing (NLP).
 Solid understanding of supervised and unsupervised learning techniques.
 Experience with large-scale data processing and analysis using tools such as SQL, Hadoop, or Spark.
 Proficiency in programming languages such as Python
 Familiarity with cloud platforms (we run on AWS) and their machine learning services.
 Excellent problem-solving skills and ability to work independently and collaboratively.
 Strong communication skills and ability to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications:
 Experience with real-time voice processing and low-latency systems.
 Knowledge of automated speech recognition (ASR) systems and key challenges in the field.
 Familiarity with voice interaction design and user experience considerations.

What We Offer:
 A dynamic and innovative work environment with a focus on cutting-edge technology.
 Competitive salary and benefits package.
 Opportunities for professional growth and career advancement.
 Collaborative and inclusive company culture.
 Flexible work arrangements, including remote work options.

If you are passionate about artificial intelligence and voice technologies and thrive in a fast-paced, innovative environment, we would love to hear from you.,