Qualification and Experience:

• Bachelor’s degree in computer science, Data Science, Machine Learning, or a related field. A master’s degree is preferred.
• 3-5 years of experience working with machine learning, NLP, and deep learning concepts, with a track record of successful project deployment.

Job Description:

• Lead the design, development, and implementation of machine learning algorithms and models to solve complex business problems and enhance the capabilities of our products.
• Leverage both traditional and advanced deep learning techniques, selecting and optimizing frameworks and libraries as needed for various projects.
• Train, fine-tune, and deploy machine learning models across different domains, utilizing techniques such as supervised, unsupervised, deep learning, and reinforcement learning.
• Develop robust evaluation frameworks to assess model performance and generalization, utilizing a wide range of metrics and ensuring scalability and accuracy.
• Collaborate closely with cross-functional teams including software developers, data scientists, product managers, and designers to deliver scalable, high-quality AI solutions.
• Drive the integration of AI models into production systems, ensuring seamless deployment and continuous improvement.
• Stay up to date with the latest developments in AI/ML, contributing to research, experimentation, and development of innovative AI-driven solutions.
• Mentor junior team members and provide technical guidance in machine learning and software development best practices.

Required Skills:

• In-depth knowledge of machine learning algorithms and techniques (supervised, unsupervised, and reinforcement learning), with practical experience in model development and deployment.
• Experience in building large-scale machine learning systems and familiarity with cloud-based AI/ML deployment.
• Strong software engineering skills, including proficiency in version control, collaborative development, and coding best practices.
• Advanced programming skills in Python and proficiency with relevant libraries and frameworks like TensorFlow, PyTorch, Scikit-learn, and Keras.
• Strong analytical and problem-solving skills, with a demonstrated ability to lead projects and work in a dynamic, fast-paced environment.
• Experience in model optimization, tuning, and integration into production environments.

Benefits of Working at eSewa Ltd.

• Stellar opportunity to work with the rising company
• The amazing and passionate young team, beautiful office space
• Trust of biggest FinTech company
• One-of-a-kind company culture and growth opportunities to accelerate your career progression.

How to apply?

We are always keen to meet energetic and talented professionals who would like to join our team. Click on the button below and submit your application to apply for the post.

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