Associate Machine Learning Engineer

This

position

is

listed

on

behalf

of

a

partner

company,

who

manages

all

applications

and

next

steps.

Our

partner

is

looking

for

an

Associate

Machine

Learning

Engineer

based

in

the

United

States

.

In

this

fully

remote

role,

you

will

contribute

to

the

development

and

deployment

of

machine

learning

solutions

that

support

data-driven

decision-making

and

enhance

digital

products

used

by

millions

of

users.

You

will

work

alongside

experienced

machine

learning

engineers,

data

scientists,

data

engineers,

and

cloud

infrastructure

specialists

to

build

scalable

AI

and

machine

learning

capabilities.

Your

responsibilities

will

include

supporting

automated

data

pipelines,

model

deployment

processes,

and

cloud-based

engineering

infrastructure.

You

will

gain

hands-on

experience

with

modern

technologies

while

contributing

to

innovative

projects

that

improve

product

performance,

reliability,

and

customer

experiences.

This

is

an

excellent

opportunity

for

an

early-career

engineer

passionate

about

AI,

software

development,

and

continuous

learning

to

grow

within

a

collaborative,

technology-driven

environment.

Accountabilities:

Collaborate

with

Machine

Learning

Engineers,

Data

Scientists,

Data

Engineers,

DevOps

specialists,

and

other

technical

teams

to

understand

requirements

and

support

the

development

of

machine

learning

solutions

aligned

with

business

objectives.

Assist

in

building,

testing,

maintaining,

and

improving

software

components

and

infrastructure

that

support

machine

learning

applications.

Contribute

to

the

development

and

maintenance

of

automated

data

pipelines,

machine

learning

workflows,

and

model

deployment

processes.

Support

cloud-based

machine

learning

solutions

using

technologies

such

as

AWS,

Databricks,

and

Apache

Spark.

Participate

in

continuous

integration

and

continuous

delivery

(CI/CD)

processes,

helping

improve

automation,

deployment

reliability,

and

operational

efficiency.

Monitor

machine

learning

applications,

investigate

technical

issues,

and

collaborate

with

senior

engineers

to

identify

and

implement

solutions.

Help

maintain

scalable

infrastructure

and

tooling

that

enable

AI

and

machine

learning

capabilities

across

the

organization.

Contribute

to

technical

discussions,

cross-functional

meetings,

and

project

planning

by

sharing

feedback,

asking

relevant

questions,

and

helping

clarify

requirements.

Document

technical

solutions,

development

processes,

and

lessons

learned

to

facilitate

knowledge

sharing

and

improve

team

practices.

Follow

established

software

engineering,

machine

learning,

security,

data

governance,

and

development

standards.

Continuously

strengthen

technical

expertise

through

mentorship,

training,

experimentation,

and

hands-on

project

experience.

Requirements:

Bachelor's

degree

in

Computer

Science,

Data

Science,

Engineering,

Mathematics,

Statistics,

Machine

Learning,

or

another

related

quantitative

discipline.

0–2

years

of

experience

in

machine

learning

engineering,

software

engineering,

data

engineering,

or

a

related

technical

field.

Internship

experience,

academic

research,

capstone

projects,

or

equivalent

practical

experience

in

artificial

intelligence,

machine

learning,

or

software

development

is

preferred.

Experience

using

Python

through

academic

projects,

internships,

research,

or

professional

work.

Foundational

understanding

of

machine

learning

concepts,

algorithms,

model

development,

and

deployment

processes.

Familiarity

with

software

engineering

fundamentals,

including

version

control,

software

testing,

debugging,

and

code

review

practices.

Basic

understanding

of

data

engineering

principles,

data

structures,

and

automated

pipeline

development.

Exposure

to

cloud

computing

platforms

such

as

AWS,

Microsoft

Azure,

or

Google

Cloud

Platform

(GCP)

is

an

advantage.

Strong

analytical

thinking

and

problem-solving

abilities,

with

the

capacity

to

investigate

technical

challenges

and

develop

practical

solutions.

How Jobgether works

• We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
• We appreciate your interest and wish you the best!
• Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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