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AI Engineer

extra holidays - extra parental leave

Remote:

Full Remote

Contract:

Full time

Experience:

Junior (1-2 years)

Work from:

Mexico

Offer summary

Qualifications:

Bachelor's degree or equivalent qualification, 0-2+ years of relevant experience, Proficiency in statistics and programming, Knowledge in Generative AI techniques, Familiarity with cloud architectures and databases.

Key responsabilities:

Apply advanced mathematics to business questions
Conduct exploratory data analysis and visualize data
Utilize machine learning algorithms and validations
Manage data engineering tasks for AI workflows
Deliver accurate work in a multifaceted environment

Thermo Fisher Scientific Biotech: Biology + Technology Large https://www.thermofisher.com/

10001 Employees

HQ: Waltham

See more Thermo Fisher Scientific offers

Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Assoc Data Scientist (AI/ML)/ AI SpecialistEngineer

Qualifications:

Education and Experience:

Bachelor's degree or equivalent and relevant formal academic / vocational qualification

Previous experience that provides the knowledge, skills, and abilities to perform the job (comparable to

0-2+ years).

In some cases, an equivalency, consisting of a combination of appropriate education, training.

and/or directly related experience, will be considered sufficient for an individual to meet the

requirements of the role.

Knowledge, Skills, and Abilities:

Proficiency in applying statistics, programming, data modeling, simulation, and advanced mathematics to business questions, with a specific focus on Generative AI.
Expertise in exploratory data analysis techniques, machine learning algorithms (including generative models), model validation techniques, and data visualization techniques.
Strong knowledge in technical areas such as Snowflake, AWS EMR, Python, Spark, Shiny, Jupyter, and associated packages and libraries, specifically tailored to Generative AI.
Exposure to modern cloud architectures, including NoSQL databases, lambda functions, Kafka, SageMaker, TensorFlow, etc., and their utilization in Generative AI workflows.
Proficiency in data engineering techniques, including data pipelining, data wrangling, and data preprocessing, specifically tailored to support Generative AI workflows.
Strong familiarity with data management approaches, including relational databases, data schemas, object stores, column stores, triple stores, graph stores, and/or document stores, with an emphasis on managing data relevant to Generative AI.
Proven ability to deliver accurate work products in a multi-functional matrix environment while managing multiple competing priorities.
Strong analytical skills, demonstrated proficiency in developing detailed analysis, models, plan calculations, and tools, with a specific focus on Generative AI applications.

Management Role:

No management responsibility

Working Conditions and Environment:

Work is performed in an office environment with exposure to electrical office equipment.
Occasional drives to site locations with occasional travel both domestic and international.

Physical Requirements:

Frequently stationary for 6-8 hours per day.
Repetitive hand movement of both hands with the ability to make fast, simple, repeated movements
of the fingers, hands, and wrists.
Frequent mobility required.
Occasional crouching, stooping, bending and twisting of upper body and neck.
Light to moderate lifting and carrying (or otherwise moves) objects including luggage and laptop
computer with a maximum lift of 15-20 lbs.
Ability to access and use a variety of computer software developed both in-house and off-the-shelf.
Ability to communicate information and ideas so others will understand; with the ability to listen to
and understand information and ideas presented through spoken words and sentences.
Frequently interacts with others to obtain or relate information to diverse groups.
Works independently with little guidance or reliance on oral or written instructions and plans work
schedules to meet goals. Requires multiple periods of driven concentration.
Performs a wide range of variable tasks as dictated by variable demands and changing conditions
with little predictability as to the occurrence. Ability to perform under stress. Ability to multitask.
Regular and consistent attendance.