Fully Remote ML/AI Engineer - Near Shore

Lensa; Hartford (CT); Remote; USD 80,000 - 120,000; Full time

Job summary

A leading career site is seeking a skilled ML/AI Engineer to join a remote team. The role involves developing data pipelines on Google Cloud and deploying machine learning models. Candidates should have a strong background in programming, data engineering, and AI methodologies. This is a full-time position with a commitment to diversity and inclusion.

Qualifications

• Experience with data engineering across the software development lifecycle.
• Proficiency in programming languages like Python and Java.
• Knowledge of AI/ML methodologies and distributed computing tools.

Responsibilities

• Design and implement data pipelines and ETL programs.
• Collaborate with Data Scientists and Product Managers.
• Ensure compliance with data governance policies.

Skills

Data engineering best practices

Agile

DevOps

AI/ML methodologies

Shell Scripting

Real-time data processing

Visualization tools

Tools

Terraform

Java

SQL

Python

Redshift

GCP

Hadoop

Spark

Tableau

Job description

Fully Remote ML/AI Engineer - Near Shore

1 day ago Be among the first 25 applicants

Lensa is the leading career site for job seekers at every stage of their career. Our client, Insight Global, is seeking professionals. Apply via Lensa today!

Job Description

Located in Canada, we're seeking a skilled AI/ML Engineer to develop robust data pipelines on our Google Cloud Data Platform. You'll design, optimize, and deploy solutions to support scientific discovery, using languages like Java, Scala, and Python. Collaborating closely with product managers, you'll ensure the continuous delivery of technology solutions, adhering to Agile and DevOps principles.

Responsibilities include designing data pipelines, implementing ETL programs, maintaining compliance with data governance policies, working with real-time and batch processing, enforcing data standards, and ensuring security and regulatory compliance. You'll work closely with Data Scientists, SREs, and Product Managers to deliver high-quality software and deploy machine learning models using Python and Jupyter notebooks.

We are committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other protected characteristic. For accommodations during the application process, please contact Human Resources.

Skills and Requirements

• Experience with data engineering best practices across the full software development lifecycle, including coding standards, code reviews, source control management (Git, Github actions), CI/CD, testing, and operations.
• Programming languages: Terraform, Java, SQL, Python.
• Experience with Data Warehousing - Redshift.
• Experience with a public cloud, currently operating in Azure and moving into GCP.
• Basic understanding of Shell Scripting.
• Experience with Agile, DevOps, automation testing, build, deployment, and CI/CD pipelines.
• Knowledge of AI/ML methodologies and experience with distributed data/computing tools like MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
• Experience working on real-time data and streaming applications.
• Proficiency with visualization tools such as SSRS, Excel, PowerBI, Tableau, Google Looker, Azure Synapse.

We are an inclusive employer that values diversity and equal opportunity. For more information on our privacy policies and accommodations, please refer to our links and contact points provided.

Seniority Level

• Entry level

Employment Type

• Full-time

Job Function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting