AI Technical Manager
Bengaluru, Karnataka, India
We are seeking a highly skilled Artificial Intelligence Technology Expert to join our dynamic team. The ideal candidate will have 5-8 years of experience in AI technologies and statistical modeling. This role requires a deep understanding of machine learning algorithms, data analysis, and the ability to develop innovative solutions to complex problems.
Key Responsibilities:
- Develop and Implement AI Solutions: Design, develop, and deploy AI models and algorithms to solve business problems and enhance customer experience.
- Statistical Modeling: Utilize statistical techniques to analyze data, build predictive models, and validate the performance of AI systems.
- Data Analysis: Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights from large datasets.
- Collaborate with Cross-functional Teams: Work closely with software engineers, and business stakeholders to integrate AI solutions into existing systems and workflows.
- Research and Innovation: Stay updated with the latest advancements in AI and machine learning, and apply cutting-edge techniques to improve model accuracy and efficiency.
- Documentation and Reporting: Maintain comprehensive documentation of AI models, methodologies, and results. Present findings and recommendations to senior management.
Requirements
Qualifications:
- Educational Background: Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- Experience: 5-8 years of hands-on experience in AI technologies and statistical modeling, preferably in digital payments of FinTech domain.
- Technical Skills:
- Proficiency in programming languages such as Python, R, or Java.
- Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
- Able to demonstrate working knowledge on systems design and architecture.
- Open-source technologies’ experience will be preferred
- Analytical Skills: Strong understanding of statistical methods, data analysis, and predictive modeling techniques.
- Problem-solving: Ability to think critically and solve complex problems using AI and statistical approaches.
- Communication: Excellent verbal and written communication skills. Ability to explain technical concepts to non-technical stakeholders.
Preferred Qualifications:
- Experience with big data technologies such as Hadoop, Spark, or Kafka.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
- Knowledge of natural language processing (NLP) and computer vision.
Benefits
Why TerraPay:
Joining TerraPay means being part of a dynamic team that is reshaping the future of global payments. We offer tremendous growth opportunities, a culture of excellence, and the chance to work on innovative solutions that make a real impact. Our commitment to our employees includes family-friendly policies, healthcare benefits, personal time off, and structured learning and development programs.
- Be part of a fast-growing global financial services company.
- Work with a dynamic team on high-profile events worldwide.
- Opportunity to collaborate with industry leaders and global partners.
- A culture that values innovation, collaboration, and professional growth.
If you are passionate about global events, stakeholder engagement, and driving impactful customer experiences, we’d love to hear from you!
Read more about TerraPay here
Our culture & core values:
At TerraPay, we don’t just talk about our values—we live by them. Humility, ownership & responsibility, entrepreneurship, global citizenship, and trusting empowerment are the principles that guide everything we do. If you’re looking for a career that offers abundant opportunities for innovation and a culture of excellence, TerraPay is the place to be.
With comprehensive healthcare benefits, cab facilities for our India-based employees, and a generous leave policy, we’ve got you covered. Join us in one of our 10 offices worldwide and collaborate with a diverse team representing 40+ nationalities.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Big Data Computer Science Computer Vision CX Data analysis EDA Engineering Feature engineering FinTech GCP Google Cloud Hadoop Java Kafka Machine Learning Mathematics NLP Open Source Predictive modeling Python PyTorch R Research Scikit-learn Spark Statistical modeling Statistics TensorFlow
Perks/benefits: Career development Startup environment Team events
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