Openings: 1
Type: Full time
Deadline: May 22, 2025
Job Description:
- Design and develop AI/ML based software production enhance data transformation, cleaning, and validation for improved data quality and insights.
- Perform data modeling, application development, technical product assistance, and tuning to meet customer performance and functional requirements.
- Perform requirement assessment, information gathering, and recommend appropriate business solutions to the company’s customers.
- Work on solution-crafting pre-defined business problems that require Data Science approaches.
- Formulate innovative solutions that best bridge any gaps between a client’s requirements and standard system functionality.
- Create polished, high-quality deliverables on time.
- Effectively communicate with subordinates, peers, superiors, and clients in a way that drives deliverables forward and maintains open communication lines.
- Provide technical assistance and cross-training to other team members.
- Collaborate with the team to create data conversion scripts/integrations and test it ensuring data quality and acceptable system performance.
General Requirements:
- Bachelor's degree in computer science or engineering or related field(s).
- 4+ years of experience in data engineering, with at least 2-3 years specifically working with AI/ML based technologies.
- Strong problem-solving skills with an emphasis on product development, demonstrates curiosity.
- Experience using languages such as Python and SQL to manipulate data and draw insights from large data sets.
- Knowledge of a variety of machine learning algorithms (clustering, decision tree learning, artificial neural networks, LLM etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.
- A drive to learn and master new technologies and techniques
- Experience with data pre-processing and feature engineering.
- Experience working with and creating data architectures and data lake management.
- Prior knowledge/experience of Pandas, Numpy, Matlab, Matplotlib, ggplot, Pytorch /Tensorflow, Apache Spark, Keras, Go.
- Knowledge in version control system like GIT, SVN, and Mercurial.
Desirable Experience & Skills
- Experience in natural language processing (NLP), computer vision, or other specialized AI fields is a plus.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for deploying AI models.
- Familiarity with MLOps tools and frameworks for model management and deployment (e.g., MLflow, Kubeflow, Docker).
- Experience of programming languages like C++, Java and Scripting Language (JavaScript).
Interested candidates are requested to send in their cover letter and resume clarifying their work experience and expected salary to hrd@lisnepal.com.np by May 22, 2025.