Current Openings

Machine Learning Engineer
USA 5+ Years Full-Time

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

Machine Learning Engineer Responsibilities:
- Consulting with managers to determine and refine machine learning objectives.
- Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
- Transforming data science prototypes and applying appropriate ML algorithms and tools.
- Ensuring that algorithms generate accurate user recommendations.
- Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
- Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
- Developing ML algorithms to analyze huge volumes of historical data to make predictions.
- Running tests, performing statistical analysis, and interpreting test results.
- Documenting machine learning processes.
- Keeping abreast of developments in machine learning.
<h3">Machine Learning Engineer Requirements:
- Bachelor's degree in computer science, data science, mathematics, or a related field.
- Master’s degree in computational linguistics, data analytics, or similar will be advantageous.
- At least two years' experience as a machine learning engineer.
- Advanced proficiency with Python, Java, and R code writing.
- Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
- In-depth knowledge of mathematics, statistics, and algorithms.
- Superb analytical and problem-solving abilities.
- Great communication and collaboration skills.
- Excellent time management and organizational abilities.
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Data Scientist
USA 4+ Years Full-Time

We are looking to hire a highly creative data scientist to address data analytics challenges in our organization, to collect large volumes of data from varying sources, clean and interpret data, create solutions to overcome challenges, and communicate with interested parties.

To succeed in this position; you need to be curious, creative, and tech-savvy. You need to stay up to date with data programming software and apps, have an outstanding understanding of statistics and mathematics and be proficient in writing algorithms. Top candidates will be persistent and have excellent analytical and problem-solving skills.

Data Scientist Responsibilities:
- Having meetings with team members regarding projects.
- Collecting and interpreting data.
- Automating and integrating processes.
- Researching solutions to overcome data analytics challenges.
- Developing complex mathematical models that integrate business rules and requirements.
- Creating machine learning models.
- Communicating and meeting with engineers, IT teams, and other interested parties.
- Sharing complex ideas verbally and visually in an understandable manner with non-technical stakeholders.
Data Scientist Requirements:
- A MSc or PhD degree in applied mathematics or statistics.
- 5+ years of industry experience.
- Advanced coursework in machine learning and programming.
- Experience using data visualization tools.
- Experience with data querying languages, and statistical or mathematical software.
- Proficient in writing algorithms, and knowing when to apply them.
- Excellent understanding of statistics, multivariable calculus, and linear algebra.
- Outstanding communication skills.
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Big Data Engineer
USA 5+ years Full-Time

We are looking to hire a talented big data engineer to develop and manage our company’s Big Data solutions. In this role, you will be required to design and implement Big Data tools and frameworks, implement ELT processes, collaborate with development teams, build cloud platforms, and maintain the production system.

To ensure success as a big data engineer, you should have in-depth knowledge of Hadoop technologies, excellent project management skills, and high-level problem-solving skills. A top-notch Big Data Engineer understands the needs of the company and institutes scalable data solutions for its current and future needs.

Big Data Engineer Responsibilities:
- Meeting with managers to determine the company’s Big Data needs.
- Developing Hadoop systems.
- Loading disparate data sets and conducting pre-processing services using Hive or Pig.
- Finalizing the scope of the system and delivering Big Data solutions.
- Managing the communications between the internal system and the survey vendor.
- Collaborating with the software research and development teams.
- Building cloud platforms for the development of company applications.
- Maintaining production systems.
- Training staff on data resource management.
Big Data Engineer Requirements:
- Bachelor’s degree in computer engineering or computer science.
- Previous experience as a big data engineer.
- In-depth knowledge of Hadoop, Spark, and similar frameworks.
- Knowledge of scripting languages including Java, C++, Linux, Ruby, PHP, Python, and R.
- Knowledge of NoSQL and RDBMS databases including Redis and MongoDB.
- Familiarity with Mesos, AWS, and Docker tools.
- Excellent project management skills.
- Good communication skills.
- Ability to solve complex networking, data, and software issues.
Apply Now

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Current Openings

Machine Learning Engineer Responsibilities:

Data Scientist Responsibilities:

Data Scientist Requirements:

Big Data Engineer Responsibilities:

Big Data Engineer Requirements:

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