AI/ ML Engineer

2 weeks ago

Gurugram, India Zenarate Full time

Zenarate utilizes advanced speech processing, artificial intelligence (AI), and machine learning technologies to empower contact center agents in delivering an exceptional customer experience. Here are some key details about our organization:

  • We are a dynamic and profitable software as a service (SaaS) company that has achieved 100% year-over-year growth. This profitability demonstrates our ability to control our own trajectory and signifies your involvement in an organization that prioritizes the needs of both customers and employees.
  • Our platform is utilized by leading brands, such as Nintendo, Google Play, Genpact, American Express, Bank Of America, and United Airlines, across more than a dozen countries and 13 languages.
  • Our outstanding performance has been recognized with multiple awards from esteemed organizations, including the American Business Awards (Stevies).

To learn more about us, please visit: www.zenarate.com.

About the Position

As an AI Engineer, you will be responsible for designing, developing, and implementing artificial intelligence solutions to solve complex problems across various domains. You will work closely with cross-functional teams to understand business requirements, identify opportunities for AI integration, and develop innovative solutions that leverage machine learning, deep learning, natural language processing, computer vision, and other AI techniques. The ideal candidate will have a strong background in computer science, mathematics, and AI, along with hands-on experience in building and deploying AI models in real-world applications.

Responsibilities:

  • Collaborate with stakeholders to understand business objectives and requirements for AI solutions.
  • Research, design, and develop AI algorithms and models to address specific business challenges.
  • Implement machine learning, deep learning, and other AI techniques to analyze large datasets and extract meaningful insights.
  • Build scalable and robust AI systems that can handle real-time data processing and analysis.
  • Optimize AI models for performance, accuracy, and scalability, considering factors such as computational resources and latency requirements.
  • Develop data pipelines and workflows to collect, preprocess, and prepare data for training and inference.
  • Evaluate and benchmark different AI algorithms and frameworks to identify the most suitable approach for specific use cases.
  • Collaborate with software engineers to integrate AI components into existing systems and applications.
  • Conduct thorough testing and validation of AI models to ensure reliability, robustness, and generalization.

Requirements

  • Bachelor's degree in computer science, engineering, or a related field.
  • Proven experience of 1-2 years in developing AI solutions, with a strong focus on machine learning, deep learning, and natural language processing.
  • Proficiency in programming languages such as Python, Java, or C++, along with experience using AI libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Solid understanding of data structures, algorithms, and statistical techniques for data analysis and modeling.
  • Experience with big data technologies (e.g., Hadoop, Spark) and cloud computing platforms (e.g., AWS, Azure, GCP) is a plus.
  • Strong problem-solving skills and the ability to think creatively to design innovative AI solutions.
  • Excellent communication skills, with the ability to effectively collaborate with cross-functional teams and present technical concepts to non-technical stakeholders.

Benefits

  • Competitive salary package that will continue to grow as you gain experience.
  • A full suite of benefits including health insurance, lunch, team parties, outdoor tours, and much more.
  • A casual workplace that appreciates and respects each employee's ideas.
  • Mentorship by some fabulous engineers with a track record of delivering major pieces of software for both large companies and successful startups.
  • Flexible work arrangements

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