Keras

Keras Data Jobs

6 jobs found

Today

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower Sunnyvale, CA 🇺🇸 Remote

Sunnyvale, CA

Today

Full time AI Ai Ml Amazon Bedrock

Apply Now

Job Description

Hudson Manpower is seeking a GenAI / Machine Learning AI / Data Scientist for a remote, W2-only engagement. The role targets professionals with 10+ years of hands-on experience who will focus on developing prototypes, PoCs, and MVPs using AI and GenAI capabilities.

Location

Sunnyvale, CA (remote)

Responsibilities

Ability to develop prototypes, PoCs, MVPs using one or more of the following,

Requirements

Fully remote position
H1B sponsorship is not available; all other candidates may apply
Engagements on a W2 basis only
Minimum 10 years of experience in AI/ML
Solid foundation in AI, deep learning, and machine learning principles
Proficiency in Python and tools such as Hugging Face, Langchain, and the OpenAI API
Hands-on experience with TensorFlow, Keras, and PyTorch
Familiarity with Google Model Garden, Amazon Bedrock, and Nvidia Nim
Experience with multi-modal data and intelligent agent-based tools
Self-motivated with a collaborative and innovative mindset and a passion for solving hard AI/GenAI problems

Technologies

Python
Hugging Face
Langchain
OpenAI API
TensorFlow
Keras
PyTorch
Google Model Garden
Amazon Bedrock
Nvidia Nim

View full job page →

1d ago

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower Sacramento, CA 🇺🇸 Remote

Sacramento, CA

1d ago

Full time AI Ai Ml Amazon Bedrock

Apply Now

Job Description

Senior GenAI Engineer / ML AI/Data Scientist role with 100% remote work and 10+ years of experience.

Responsibilities

Develop prototypes, PoCs, and MVPs for GenAI initiatives using Python and modern AI/ML tools, emphasizing multi-modal data and rapid validation of concepts.

Requirements

Location: Sacramento, CA (remote; 100% remote)
No H1B candidates: all other applicants may apply
Work status: Only W2 candidates
Experience: 10+ years
Technical proficiency: Python and tools including Hugging Face, Langchain, and OpenAI API
ML frameworks: TensorFlow, Keras, PyTorch
Platform familiarity: Google Model Garden, Amazon Bedrock, Nvidia Nim
Data and tooling: Experience with multi-modal data and intelligent agent-based tools
Mindset: Self-motivated, collaborative, and innovative; passionate about solving hard AI and GenAI problems

View full job page →

2d ago

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower Malvern, PA 🇺🇸 Remote

Malvern, PA

2d ago

Full time AI Ai Ml Amazon Bedrock

Apply Now

Job Description

Hudson Manpower seeks a GenAI Engineer / ML AI / Data Scientist for a remote-capable role based in Malvern, PA. The position requires 10 or more years of hands-on experience in artificial intelligence, deep learning, and data science.

Requirements

Remote work: 100% remote
Eligibility: No H1B candidates; rest may apply
Employment type: Only W2 candidates
Experience: 10+ years
AI/ML knowledge: Strong foundation in AI, deep learning, and machine learning principles
Programming: Expertise in Python and tools such as Hugging Face, Langchain, and the OpenAI API
Deep learning frameworks: Experience with TensorFlow, Keras, and PyTorch
Cloud platforms: Familiar with Google Model Garden, Amazon Bedrock, and Nvidia Nim
Multi-modal data and AI tools: Experience with multi-modal data and intelligent agent-based tools
Mindset: Self-motivated, collaborative, and innovative, with a passion for solving hard problems using AI and GenAI

Technologies

Python
Hugging Face
Langchain
OpenAI API
TensorFlow
Keras
PyTorch
Google Model Garden
Amazon Bedrock
Nvidia Nim

View full job page →

2d ago

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower Dallas, TX 🇺🇸 Remote

Dallas, TX

2d ago

Full time AI Ai Ml Amazon Bedrock

Apply Now

Job Description

This senior GenAI, ML AI, and data science position offers 100 percent remote work with base in Dallas, TX. The role requires 10 or more years of experience and is limited to W2 candidates; no H1B sponsorship is available.

Location

Dallas, TX (remote)

Role Summary

Senior levelGenAI and machine learning scientist focusing on AI driven data solutions. The role demands 10+ years of relevant experience and is open to W2 candidates only, with no H1B sponsorship.

Responsibilities

Develop prototypes, proofs of concept, and minimum viable products using AI and GenAI approaches where applicable.

Requirements

Experience: 10+ years
AI/ML Knowledge: Strong foundation in artificial intelligence, deep learning, and machine learning principles
Programming Skills: Proficiency in Python and tools such as Hugging Face, Langchain, and OpenAI API
Deep Learning Frameworks: TensorFlow, Keras, and PyTorch
Cloud Platforms: Google Model Garden, Amazon Bedrock, Nvidia Nim
Multi-Modal Data and AI Tools: Experience with multi-modal data and intelligent agent-based tools
Mindset: Self-motivated problem solver with a collaborative and innovative mindset
No H1B Candidates
Only W2 Candidates

Technologies

Python
Hugging Face
Langchain
OpenAI API
TensorFlow
Keras
PyTorch
Google Model Garden
Amazon Bedrock
Nvidia Nim

Skill Sets

Ability to develop prototypes, PoCs, MVPs using one or more of the following
AI/ML Knowledge: Strong foundation in AI, deep learning, and machine learning principles
Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API
Deep Learning Frameworks: Experience with TensorFlow, Keras, and PyTorch
Cloud Platforms: Familiar with Google Model Garden, Amazon Bedrock, and Nvidia Nim
Multi-Modal Data and AI Tools: Experience with multi-modal data and intelligent agent-based tools
Mindset: Self-motivated individual with a passion for solving hard problems using AI/GenAI. Must have collaborative and an innovative mindset

View full job page →

9d ago

Senior Data Scientist

Innovaworkforce Juncos, PR

Juncos, PR

9d ago

$58 - $60/hr Full time Python Senior Analytics

Apply Now

Job Description

Innovaworkforce is seeking a Senior Data Scientist in Juncos, PR onsite, offering USD 58-60 per hour; requires a Doctorate and a minimum of 2 years of experience.

Responsibilities

Lead and develop data science, machine learning, and AI capabilities across Amgens commercial organization.
Head projects and participate in cross-functional teams to systematically derive insights that deliver substantial business value for Amgen.
Take initiative and work independently with minimal supervision.
Identify business needs, perform SWOT analyses, propose analytical approaches, obtain approvals, and execute end-to-end.
Build high-performance algorithms, prototypes, predictive models, and proofs of concept using Python.
Work with SQL and other database query languages.
Lead, collaborate, and communicate cross-functionally with stakeholders to design methodologies that answer specific business questions.
Present analysis ideas, progress, and results to business partners in a clear and impactful manner.
Create compelling stories in PowerPoint and be proficient with MS Office, especially Excel and PowerPoint.
Ensure compliance with regulatory, security, and privacy requirements related to data assets.

Requirements

Manufacturing support experience, with vial filling experience preferred.
Experience deploying or integrating AI solutions into manufacturing or operational environments.
Knowledge of artificial intelligence, software development, and general computer literacy.
Hands-on experience developing AI/ML models for process or task optimization.
Familiarity with Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).
Experience using Python, TensorFlow, PyTorch, OpenCV, or similar AI/ML frameworks.
Basic knowledge of statistical analysis using JMP or other statistical software.
Experience generating technical documentation, protocols, reports, and development records.
Knowledge of Good Documentation Practices (GDP), quality systems, and compliance requirements.
Strong project management and problem-solving skills.
Ability to work in cross-functional teams and communicate effectively with technical and non-technical stakeholders.
Quality and compliance oriented mindset with attention to detail.
Computer literacy with proficiency in AI tools and digital technologies.
Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research.
Experience leading projects and end-to-end executions.
Experience with databases including relational, SQL, and Graph.
Programming experience with Python, R, or SAS and familiarity with ML libraries like scikit-learn, MLlib, Keras, TensorFlow, PyTorch, etc.
Ability to write well-abstracted, reusable code in Python, R, or Scala; comfortable navigating a Linux environment.
Detail-oriented technical aptitude with strong logical, problem-solving, and decision-making skills.
Excellent organization and planning skills with the ability to manage many large and complex datasets.
Ability to collaborate with and influence business partners and IS resources to drive analytics end-to-end.
Excellent communication skills to present analysis clearly, precisely, and actionably.
Experience working with large datasets and distributed computing tools (Spark, Hive, etc.).
Passion for learning and staying current with developments in advanced analytics.
Biotech or Pharma experience.

Technologies

Python
TensorFlow
PyTorch
OpenCV
JMP
R
SAS
scikit-learn
MLlib
Keras
Scala
Linux
Spark
Hive
SQL
Graph databases
PowerPoint
Excel

Highly Preferred

Prefer Computer Engineering or Computer Sciences degree
Special courses or certificates in AI models

View full job page →

13d ago

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower Buffalo Grove, IL 🇺🇸 Remote

Buffalo Grove, IL

13d ago

Full time AI Ai Ml Amazon Bedrock

Apply Now

Job Description

This senior GenAI and Machine Learning Data Scientist role is a remote W2 position with a base in Buffalo Grove, IL. It calls for a seasoned professional (10+ years) to prototype PoCs and MVPs using AI and ML techniques in Python, leveraging leading ML frameworks.

Requirements

AI/ML Knowledge: Strong foundation in artificial intelligence, deep learning, and machine learning principles, with the ability to translate concepts into prototypes and practical solutions.
Programming Skills: Proficiency in Python and experience with tooling such as Hugging Face, Langchain, and the OpenAI API to build and iterate models.
Deep Learning Frameworks: Hands-on experience with TensorFlow, Keras, and PyTorch for model development and experimentation.
Cloud Platforms: Familiarity with Google Model Garden, Amazon Bedrock, and Nvidia Nim for deployment, hosting, and experimentation environments.
Multi-Modal Data and AI Tools: Experience working with multi-modal data and intelligent agent-based tools to design integrated AI systems.
Mindset: Self-motivated, collaborative, and innovative problem solver with a passion for advancing AI and GenAI initiatives.

Technologies

Python
Hugging Face
Langchain
OpenAI API
TensorFlow
Keras
PyTorch
Google Model Garden
Amazon Bedrock
Nvidia Nim

Benefits

100% Remote

View full job page →

Keras Data Jobs

GENAI / MACHINE LEARNING AI / DATA Scientist

GENAI / MACHINE LEARNING AI / DATA Scientist

GENAI / MACHINE LEARNING AI / DATA Scientist

GENAI / MACHINE LEARNING AI / DATA Scientist

Senior Data Scientist

GENAI / MACHINE LEARNING AI / DATA Scientist

Get Keras Data Jobs alerts