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Apptad-Machine Learning Engineer (MLE)

Apptad Inc

San Francisco, California • Yesterday

Easy Apply

Contract, Third Party

Depends on Experience

Apptad Inc

Job Details

Skills

MLE
SageMaker
AWS
Healthcare

Summary

Title – Machine Learning Engineer (MLE)

Location – South SFO

Duration: Long Term

About the Role

We are seeking a production-focused Machine Learning Engineer (MLE). Unlike a traditional Data Science role, this position prioritizes the engineering, deployment, and scalability of machine learning systems. You will be responsible for moving models from research to production, ensuring they are robust, integrated into our cloud infrastructure, and compliant with industry standards.

Key Responsibilities

MLOps on AWS: Lead the end-to-end MLOps lifecycle within the AWS ecosystem, with a focus on CI/CD for machine learning and automated model monitoring.
Infrastructure & Data Modeling: Design and implement scalable infrastructure architecture, including complex data models specifically structured for ML workloads.
ML Pipelines: Build and maintain automated pipelines to handle data ingestion, preprocessing, training, and deployment at scale.
Feature Engineering: Develop and optimize sophisticated feature engineering workflows to enhance model accuracy and operational efficiency.
Regulatory & Data Engineering: Bridge the gap between data engineering and model deployment while adhering to strict regulatory requirements inherent to the life sciences industry.

Technical Qualifications

Category	Requirements
Experience	Proven track record as an MLE with experience productionizing models (rather than just DS/Analytics).
Cloud Platform	Expert knowledge of AWS (SageMaker, Lambda, Glue) for ML applications.
Data Engineering	Strong background in data engineering, ETL design, and data modeling.
Domain Knowledge	Experience in the Healthcare or Life Sciences sector.
Compliance	Understanding of regulatory experience and working within regulated data environments.

Education & Experience

Bachelor's degree in Business Administration, Information Technology, or a related field.

ABOUT US

Apptad offers strategic consulting, enterprise information management and digital transformation services. With globally connected offices in US and India along with a team of trained and certified IT resources, Apptad ensures quick and effective delivery to its customers.Apptad is relentlessly reinventing the outlook of how companies leverage data.

With an effort to enable our customers the ability to solve biggest problems within their organization.We perceive our clients’ problems and respond with custom solutions instead of handing over boilerplate responses.

OUR MISSION

Customer Focus: We listen carefully to the needs of our clients so that we know what’s important for their business and can design a customized solution for their business.

Innovation: As a firm, we believe in constantly upgrading ourselves and improving our solutions to adapt to the changing landscape of technology.

Accountability and Ethics: We believe in taking our commitments as seriously as our customers and living up to them while building trust for a long term business relationship.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90696384
Position Id: 34332-5039-1794426739
Posted 1 day ago

Company Info

About Apptad Inc

We’re a strategic technology consulting and innovation-led transformation company, delivering enterprise-grade data management and AI/ML services. With a deep understanding of a plethora of industries, we partner with clients to navigate complex challenges and seize opportunities in a rapidly evolving market. Our team of seasoned professionals brings a wealth of expertise, ensuring that our clients are equipped to thrive in today's competitive landscape.

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Remote

•

Yesterday

Title Program Manager - Medical Affairs Location Remote / Client-facing; NJ preferred Duration: Full Time Notes: We are specifically looking for SMEs in the Evidence Generation and its consumption space. About Saama Saama focuses on the specialized needs of pharmaceutical and biotechnology companies, delivering transformative business outcomes through AI, advanced analytics, deep life-sciences expertise, and collaborative solution development. Our teams work with global life-s

Easy Apply

Third Party, Contract

Depends on Experience

Linux Operating System Engineer

Minneapolis, Minnesota

•

Yesterday

Job Title: Linux Operating System Engineer Location: Minneapolis, MN Duration: Contract Mandatory Skills: Red Hat Enterprise Linux (RHEL 8),AWS EC2,EBS,VPC,IAMCloud Watch, Python, Bash Position Summary We are seeking an experienced Linux Operating System Engineerto manage, maintain, and support enterprise Linux infrastructure across both On-Premises Data Centersand AWS Cloud environments. The ideal candidate will possess strong expertise in Red Hat Enterprise Linux (RHEL 8)administrat

Easy Apply

Contract, Third Party

Depends on Experience

Apptad Inc

Job Details

Skills

MLE
SageMaker
AWS
Healthcare

Summary

Title – Machine Learning Engineer (MLE)

Location – South SFO

Duration: Long Term

About the Role

Key Responsibilities

MLOps on AWS: Lead the end-to-end MLOps lifecycle within the AWS ecosystem, with a focus on CI/CD for machine learning and automated model monitoring.
Infrastructure & Data Modeling: Design and implement scalable infrastructure architecture, including complex data models specifically structured for ML workloads.
ML Pipelines: Build and maintain automated pipelines to handle data ingestion, preprocessing, training, and deployment at scale.
Feature Engineering: Develop and optimize sophisticated feature engineering workflows to enhance model accuracy and operational efficiency.
Regulatory & Data Engineering: Bridge the gap between data engineering and model deployment while adhering to strict regulatory requirements inherent to the life sciences industry.

Technical Qualifications

Category	Requirements
Experience	Proven track record as an MLE with experience productionizing models (rather than just DS/Analytics).
Cloud Platform	Expert knowledge of AWS (SageMaker, Lambda, Glue) for ML applications.
Data Engineering	Strong background in data engineering, ETL design, and data modeling.
Domain Knowledge	Experience in the Healthcare or Life Sciences sector.
Compliance	Understanding of regulatory experience and working within regulated data environments.

Education & Experience

Bachelor's degree in Business Administration, Information Technology, or a related field.

ABOUT US

OUR MISSION

Customer Focus: We listen carefully to the needs of our clients so that we know what’s important for their business and can design a customized solution for their business.

Innovation: As a firm, we believe in constantly upgrading ourselves and improving our solutions to adapt to the changing landscape of technology.

Accountability and Ethics: We believe in taking our commitments as seriously as our customers and living up to them while building trust for a long term business relationship.

Dice Id: 90696384
Position Id: 34332-5039-1794426739
Posted 1 day ago

Company Info

About Apptad Inc

Go to company profile

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Remote

•

Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

Linux Operating System Engineer

Minneapolis, Minnesota

•

Yesterday

Easy Apply

Contract, Third Party

Depends on Experience

Apptad-Machine Learning Engineer (MLE)

Skills

Summary

Dice Job Match Score™

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Apptad-Machine Learning Engineer (MLE)

Apptad Inc

Job Details

Skills

Summary

Company Info

About Apptad Inc

Dice Job Match Score™

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