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Artificial Intelligence Engineer

2 months ago

hyderabad, India Cyara Full time
About Cyara:
Cyara is the world’s leading Automated CX Assurance Platform provider, helping leading brands across the globe deliver better CX with less effort, cost, and risk. Cyara supports the entire CX software development lifecycle, from design to functional and regression testing, load testing, chatbot testing, and production monitoring, ensuring enterprises can build flawless customer journeys across voice and digital channels while reducing the risk of customer-facing defects. Every day, the most recognizable brands across the globe trust Cyara to deliver customer smiles at scale. Interested in finding out more about us? Check out: Values Statement:
At Cyara, our values shape everything we do. We are passionate about Delivering Excellence by putting the customer first, collaborating globally, and always striving to improve. We take smart risks and Innovate Boldly , setting new standards and learning from every experience. Integrity First is our cornerstone—we value humility, authenticity, and respect for diversity, building trust in all we do. We Embrace Curiosity by empowering you to experiment, learn, and grow in a dynamic environment. At Cyara, our values drive us forward, shaping a culture where innovation and excellence thrive.
Our Commitment to Diversity, Equity, Inclusion and Belonging:
At Cyara, we are committed to fostering a workplace that exemplifies equal opportunity and embraces diversity, equity, inclusion, and belonging. We actively strive to cultivate an authentic environment where every individual is valued, respected, and empowered to bring their whole selves to work, contributing unique perspectives and talents. We are dedicated to continuously evaluating and enhancing our policies, practices, and culture to ensure they align to our commitment towards Diversity, Equity, Inclusion and Belonging. Our commitment extends to ensuring a discrimination-free environment, where individuals are judged solely on their merits and abilities, regardless of any legally protected status or characteristic such as sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, gender identity, veteran status, or medical condition. We believe that by celebrating diversity and championing inclusivity, we enrich our organization and drive collective success.
Job Function Description:
We are seeking a highly skilled and motivated AI Engineer to join our team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and software engineering. This role involves developing, implementing, and optimizing AI algorithms and systems to enhance our product offerings and improve customer experience.
You will be responsible for:
Design, develop, and implement AI algorithms and models to solve complex problems.
Optimize algorithms for performance, scalability, and accuracy.
Train and fine-tune machine learning models on large datasets.
Evaluate model performance using appropriate metrics and improve models based on feedback and testing.
Integrate AI models and algorithms into existing systems and workflows.
Ensure seamless deployment and operation of AI solutions within the company's infrastructure.
Ensure data quality and integrity throughout the AI development process.
Work closely with data scientists, software engineers, and product teams to understand requirements and deliver AI solutions.
Stay current with the latest advancements in AI and machine learning, and apply this knowledge to drive innovation within the company.
Ensure models & data use are inline with Cyara’s privacy & security policies.
Let’s talk about your skills/expertise:
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
Proven experience (3+ years) in AI, machine learning, or a related field.
Proficiency in programming languages such as Python or Java.
Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).
Proficiency in data manipulation and analysis tools (e.g., SQL, pandas, NumPy).
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
Experience with deep learning architectures (e.g., CNNs, RNNs, GANs) and natural language processing (NLP).