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Data Engineer - Remote

Remote:

Full Remote

Work from:

New York (USA), United States

Offer summary

Qualifications:

Bachelor's degree in Computer Science or related field, Experience as a machine learning engineer, Strong programming skills in Python, R, or similar, Familiarity with cloud platforms like AWS or Azure.

Key responsabilities:

Develop and optimize machine learning models
Collaborate with teams to drive projects to completion

Pozent Corporation http://pozent.com/

51 - 200 Employees

See all jobs

Job description

Skills

Must have

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
Proven experience as a machine learning engineer, working on complex machine learning projects
Strong programming skills in languages like Python, R, or similar
Solid understanding of machine learning algorithms, deep learning frameworks, and statistical modeling techniques
Hands-on experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
Proficiency in data preprocessing, feature engineering, and data visualization
Experience with cloud platforms such as AWS, Azure, or GCP for deploying machine learning models
Familiarity with version control systems (e.g., Git) and collaborative development practices
Strong problem-solving skills and ability to troubleshoot and optimize machine learning models
Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders
Proven ability to work in a collaborative team environment and drive projects to completion

Ideal Candidate Qualifications

Working proficiency in using Python/Scala, Spark (tuning jobs), SQL, Hadoop platforms to build Big Data products & platforms.
Good programming skills in Java and spring boot and Junit.
Knowledge in software development test approaches & frameworks
Familiarity with RESTful APIs and micro-services architectures
Experience in working with CI/CD
Experience in working with SQL database like Postgres, Oracle
Preferably with hands-on experience with Hadoop big data tools (Hive, Impala, Spark)
Experience with data pipeline and workflow management tools: NIFI, Airflow.
Comfortable in developing shell scripts for automation.
Good troubleshooting and debugging skills.
Proficient in standard software development, such as version control, testing, and deployment
Demonstrated basic knowledge of statistical analytical techniques, coding, and data engineering
Ability to quickly learn and implement new technologies
Ability to Solve complex problems with multi-layered data sets
Ability to innovate and determine new approaches & technologies to solve business problems and generate business insights & recommendations.
Ability to multi-task and strong attention to detail
Flexibility to work as a member of a matrix based diverse and geographically distributed project teams
Good communication skills
both verbal and written
strong relationship, collaboration skills, and organizational skills

Nice to have

Experience with performance Tuning of Database Schemas, Databases, SQL, ETL Jobs, and related scripts
Experience in working with Cloud APIs (e.g., Azure, AWS)
Experience participating in complex engineering projects in an Agile setting e.g. Scrum