Leapfrog Technology

We are Leapfrog, a software company with a vision to build world-class products. 

At Leapfrog, our mission is to be a role model technology company. We want to be trusted partners, world-class engineers, and creative innovators for our clients. We have built awesome software products across various verticals and take pride in our craftsmanship that has produced greater results in the software industry and the overall ecosystem.

At Leapfrog, we share a culture of continuous learning, sharing and improvement. We have a flexible work environment for our Leapfroggers so that they can do what they do best - Innovate and Create.

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Machine Learning Engineer

Machine Learning

Apply Before : 2021-05-25 (Closed)

Job summary

  • No. of Vacancy
    1
  • Job Type
    Full Time
  • Offered Salary
    Negotiable
  • Gender
    Both
  • Career Level
    Mid Level
  • Industry
    Software Industry
  • Experience
    2 Years
  • Location
    Kathmandu
  • Apply Before
    2021-05-25
    Closed
  • Views
    4055
  • Skills
    AI
    Analytical
    Data Analysis
    Python

Job Description:

At Leapfrog, our mission is to be a role model technology company. We want to be trusted partners, world-class engineers, and creative innovators for our clients. We have built awesome software that puts data into action. Our team specializes in data-driven digital products that help businesses transform and capture new markets.

We are looking for a Data Scientist to join our AI team. This position offers you an excellent opportunity to work with real-world Data Science and Machine Learning systems.

  • Design, develop, and deliver statistical and predictive models for the client and internal projects.
  • Work with a multi-functional team consisting of business stakeholders, engineering, and IT teams, designers, etc. to deliver scalable projects.
  • Identify and drive new and innovative use cases for data-driven products for both clients and internal stakeholders.
  • Analyze and validate new or improved models via statistically relevant experiments and A/B testing.
  • Setup and measure Product Analytics KPIs for our client apps and products.
  • Leverage software engineering and design best practices.
  • Work closely with other team members to build scalable prototypes for testing, and integrate successful models and algorithms in production systems.
  • Communicate the results of data exploration, analysis, and ML models to both technical and non-technical stakeholders on a regular basis.
  • Support in identifying opportunities in creating customer value with AI.
  • Mentor junior team members and evangelize best practices to other team members.
  • Propose and document best practices/standards for the design, development, evaluation, and deployment of Data Science projects

Required Knowledge, Skills, and Abilities

  • Good understanding of machine learning techniques and algorithms.
  • Ability to apply appropriate advanced analytics techniques such as Bayesian, statistics, clustering, text analysis, time series methods, and neural networks on large-scale datasets.
  • Highly experienced in creating production-quality code in Python and some experience deploying code web frameworks like Flask.
  • Well versed with the Python data ecosystem (Numpy, Scipy, Pandas, Scikit-Learn, Tensorflow or PyTorch), or equivalent in R, Java, Scala, Julia etc.
  • Proficiency in using query languages such as SQL as well as good scripting and programming skills, especially in the context of analytics platforms/data warehouses is preferred.
  • Experience working on a cloud environment like AWS, Azure, or GCP for ML work.
  • Some Big Data experience with Apache Spark, Kafka etc. and cloud ML platforms like AWS Sagemaker, GCP ML Engine etc is a bonus.
  • Any experience with data visualization and dashboard tools like Tableau, Power BI etc. is a bonus.
  • Our work requires you to be highly motivated and must be capable of working in a self-driven, entrepreneurial environment. We expect you to be a strong self-learner and able to solve complex analytical problems under high-pressure situations.

Education + Experience

  • A degree ( Master’s/PhD preferred) in an analytical subject, e.g. data science, engineering, economics, business, statistics, mathematics or related fields.
  • Minimum 2+ years hands-on experience in a relevant field of data science, preferably in real industry settings, and have built data products that have impacted customer and revenue growth.

Apply Instruction

Interested candidates are requested to send their resume to jobaxlenp@gmail.com with "Application for Machine Learning Engineer" on the subject line.

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