Keras Jobs

Find remote positions requiring Keras skills. Browse through opportunities where you can utilize your expertise and grow your career.

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🔥 AI Architect (m/f/d)

Posted 2024-11-21

📍 EU

🔍 E-pharmacy

5+ years of experience in AI, machine learning, and AI system architecture, with a proven track record of deploying ML & AI solutions in production environments.
Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, Keras.
Expertise in building scalable and efficient AI architectures.
Experience with containerization tools such as Docker, Kubernetes, and CI/CD practices.
Experience with model evaluation, hyperparameter tuning, and performance monitoring.
Hands-on experience with monitoring, observability, and performance tracking tools for AI/ML applications.

Work closely with product & program managers, data scientists, and engineers to understand business needs and translate them into AI architecture & solutions.
Lead the design of AI systems and architectures, ensuring they are scalable, efficient, and aligned with business objectives.
Develop and implement end-to-end AI solutions, from data collection and preprocessing to model deployment and continuous improvement.
Drive the development of generative AI solutions using commercially available LLM services.
Explore new AI technologies and algorithms to enhance AI systems.
Lead the deployment of machine learning models in production environments using Docker, Kubernetes, and cloud platforms.
Provide technical leadership and mentorship to junior AI engineers.

AWS Docker Leadership Python GCP Keras Kubernetes Machine Learning PyTorch Algorithms Azure Tensorflow CI/CD DevOps Microservices

Posted 2024-11-21

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🔥 Senior Software Engineer II, ML Core (Remote)

Posted 2024-11-20

📍 US, UK

🧭 Full-Time

💸 185000 - 200000 USD per year

🔍 Music technology

🏢 Company: Splice

Experience with Elasticsearch, optimizing data representations, queries, and clusters.
Relevant work experience building and evolving production software using Go and Python.
Experience deploying and managing ML models in production environments.
Several years working with RDBMS such as MySQL or PostgreSQL and crafting performant SQL queries.
Experience leveraging SaaS and cloud provider primitives effectively.
Strong customer experience focus and willingness to engage in build-versus-buy discussions.
Proficiency in writing, deploying, evolving, and deleting code.
Excellent communication skills with both technical and non-technical audiences.

Define the architecture and drive implementation changes across multiple backend services that power Splice’s products.
Translate large-scale architectural changes into manageable outcomes that benefit customers.
Optimize search infrastructure and create mechanisms for safe and rapid ML model production.
Advocate for system designs and APIs that prioritize customer needs.
Deliver complex projects spanning multiple domains and teams.
Identify areas for team improvement and propose solutions.
Provide mentorship and constructive feedback for engineering practices.
Manage cross-team commitments and track progress related to the delivery roadmap.

AWS Docker GraphQL PostgreSQL Python SQL ElasticSearch Jenkins Keras MySQL PyTorch TypeScript Data engineering Elasticsearch Go gRPC RDBMS Redis Tensorflow Collaboration Terraform

Posted 2024-11-20

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🔥 Principal Machine Learning Engineer

Posted 2024-11-20

📍 Colombia

🔍 Communications

Typically 6+ years of proven experience in data science, focusing on LLMs and supervised ML models.
Proficiency in programming languages such as Python or R, with experience in SciKit-Learn, XGBoost, Keras.
Strong understanding of data processing and transformation techniques, including SQL and big data technologies.
Experience developing, training, and deploying ML models and Python applications in production environments.
Familiarity with cloud platforms like AWS Sagemaker and containerization tools like Docker and Kubernetes.
Excellent problem-solving skills and strong communication skills.

Build and deploy machine learning models, including propensity models and GenAI applications.
Collaborate closely with product, program, analytics, and engineering teams to refine models.
Leverage technical stack including Python, SQL, R, AWS, and data science libraries for AI/ML solutions.
Utilize enterprise data sources like Salesforce and Zendesk for model development.
Apply knowledge of LLMs to develop innovative solutions.

AWS Docker Python SQL Hadoop Keras Kubernetes Machine Learning MySQL Numpy Salesforce Data science Pandas Spark Communication Skills

Posted 2024-11-20

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🔥 - Machine Learning Engineer

Posted 2024-11-15

📍 Argentina

🧭 Full-Time

🔍 AI and technology

🏢 Company: Mechanized AI

4+ years of Machine Learning experience in a start-up or larger enterprise.
6+ months of experience with Large Language Models (LLMs) and Generative AI applications.
Client delivery experience.
Effective written and oral communication skills at an advanced level (C1/C2).
Bachelor’s degree in computer science, software engineering, or a related field.
Experience with cloud environments like AWS, Azure, or GCP.
Familiarity with ML frameworks and libraries such as TensorFlow, PyTorch, Keras, and scikit-learn.
Experience developing, deploying, and managing/monitoring models.
Knowledge of containerization technologies and microservices architecture.
Expertise in Object-Oriented Programming (OOP) and unit test-driven development.
Advanced experience in NLP techniques and applications.
Strong proficiency in Python programming.

Contribute to building and enhancing the Mechanized AI platform and AI-enabled products.
Serve as ML Subject Matter Expert (SME) on client projects.
Design ML systems and research suitable ML algorithms.
Select appropriate datasets and representation methods.
Run ML tests and experiments and conduct statistical analysis.
Train and retrain systems as required.
Extend existing ML libraries and frameworks and stay current with technologies.

AWS Docker Python GCP Keras Kubernetes Machine Learning PyTorch Software Architecture Algorithms Azure Data Structures Tensorflow Collaboration Terraform Microservices

Posted 2024-11-15

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🔥 Vice President, Machine Learning Engineering

Posted 2024-11-14

📍 United States of America

🧭 Full-Time

💸 220000 - 280000 USD per year

🔍 Life Sciences and Healthcare

🏢 Company: Clarivate_Careers

Bachelor’s degree in Computer Science or related field (or equivalent applicable experience).
8+ years industry experience and 2+ years in engineering management.
Experience in delivering working ML/AI products.
Master’s or Ph.D. in Computer Science, Machine Learning, AI, or related field is a plus.
Experience collaborating with cross-functional teams to achieve strategic goals.
Strong understanding of machine learning algorithms, data preprocessing, and model evaluation.
Experience designing software for the life science industry.

Work with the SVP of AI Product Transformation to identify highest leverage AI implementation opportunities across the Clarivate life sciences portfolio.
Assist in communicating AI investment and growth opportunities to the ELT, CEO, and potentially Board of Directors.
Formulate, communicate, and lead iteration of implementation approaches to achieve AI project goals.
Hire, lead and manage a diverse, high-performing engineering team.
Work closely with product owners and biologists to understand workflows and business value.
Spend extensive time reviewing data.
Contribute code and/or documentation.
Mentor and develop junior engineers and data scientists.

Leadership Python Software Development Artificial Intelligence Data Analysis Data Mining Git Keras Machine Learning Numpy Product Management PyTorch Software Architecture Cross-functional Team Leadership Strategy Algorithms Data analysis Data mining Data science Go REST API Pandas Tensorflow Communication Skills Analytical Skills Collaboration Problem Solving RESTful APIs Mentoring

Posted 2024-11-14

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🔥 Vice President, Machine Learning Engineering

Posted 2024-11-14

📍 United States of America

🧭 Full-Time

💸 220000 - 280000 USD per year

🔍 Life Sciences and Healthcare

🏢 Company: Clarivate_Careers

Bachelor’s degree in Computer Science or related field (or equivalent applicable experience).
8+ years industry experience and 2+ years in engineering management.
Past experience in delivering working ML / AI products.
Master’s or Ph.D. in Computer Science, Machine Learning, AI, or related field is a plus.
Experience collaborating with cross-functional teams.
Ownership of critical problems end-to-end.
Ability and willingness to understand life sciences processes and needs.
Experience working with current commercial LLMs like GPT-4.
Strong understanding of machine learning algorithms, data preprocessing, and model evaluation.
Experience designing software for the life sciences industry.

Work with the SVP of AI Product Transformation to identify highest leverage AI implementation opportunities across the Clarivate life sciences portfolio.
Assist in communicating AI investment and growth opportunities to ELT, CEO, and potentially Board of Directors.
Formulate, communicate, and lead iteration of implementation approaches to achieve AI project goals.
Hire, lead, and manage a diverse, high-performing engineering team.
Work closely with individual product owners and biologists to understand workflows and business value.
Spend extensive time analyzing data.
Contribute meaningful amounts of code and/or documentation.
Mentor and develop junior engineers and data scientists.

Leadership Python Software Development Artificial Intelligence Data Analysis Keras Machine Learning Numpy People Management PyTorch Cross-functional Team Leadership Algorithms Data analysis Data science Go Pandas Tensorflow Communication Skills Analytical Skills Collaboration Problem Solving Mentoring

Posted 2024-11-14

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🔥 Vice President, Machine Learning Engineering

Posted 2024-11-14

📍 United States of America

🧭 Full-Time

💸 220000 - 280000 USD per year

🔍 Life Sciences and Healthcare

🏢 Company: jobs

Bachelor’s degree in Computer Science or related field (or equivalent applicable experience).
8+ years of industry experience with at least 2+ years in engineering management.
Experience in delivering ML/AI products.
Master’s or Ph.D. in Computer Science, Machine Learning, AI, or related field is preferred.
Ability to collaborate with cross-functional teams and product owners.
Experience in taking ownership of critical problems and delivering project outcomes.
Hands-on technical work experience and technical leadership experience.
Experience with current commercial LLMs like GPT-4.
Strong understanding of machine learning algorithms, data preprocessing, and model evaluation.
Experience designing software for the life science industry.

Work with the SVP of AI Product Transformation to identify highest leverage AI implementation opportunities across the Clarivate life sciences portfolio.
Assist in communicating AI investment and growth opportunities to the ELT, CEO, and potentially the Board of Directors.
Formulate, communicate, and lead the iteration of implementation approaches to achieve AI project goals.
Hire, lead and manage a diverse, high-performing engineering team to execute against these goals.
Collaborate with product owners and biologists to understand workflows and business opportunities.
Spend extensive time analyzing data and contribute meaningful amounts of code and documentation.
Mentor and develop junior engineers and data scientists.

Leadership Project Management Python Software Development Agile Artificial Intelligence Business Analysis Data Analysis Keras Machine Learning People Management PyTorch Software Architecture Cross-functional Team Leadership Strategy Algorithms Data analysis Go Tensorflow Communication Skills Analytical Skills Collaboration Problem Solving Agile methodologies Mentoring Attention to detail Organizational skills Presentation skills Time Management Written communication Documentation Coaching

Posted 2024-11-14

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🔥 Vice President, Machine Learning Engineering

Posted 2024-11-14

📍 United States of America

🧭 Full-Time

💸 220000 - 280000 USD per year

🔍 Life Sciences and Healthcare

🏢 Company: jobs

Bachelor’s degree in Computer Science or related field (or equivalent applicable experience).
8+ years industry experience and 2+ years in engineering management.
Past experience in delivering working ML / AI products.
Master’s or Ph.D. in Computer Science, Machine Learning, AI, or related field is preferred.
Experience collaborating with cross functional teams and product owners to identify, design, and implement systems that achieve business-level strategic goals.
Strong understanding of machine learning algorithms, data preprocessing, and model evaluation.
Experience with current commercial LLMs like GPT-4.
Ability to build a functional understanding of life sciences processes and needs.

Work with the SVP of AI Product Transformation to identify highest leverage AI implementation opportunities across the Clarivate life sciences portfolio.
Assist in communicating AI investment and growth opportunities to the ELT, CEO, and potentially Board of Directors.
Formulate, communicate, and lead iteration of implementation approaches to achieve our AI project goals.
Hire, lead and manage a diverse, high-performing engineering team to execute against these goals.
Work closely with individual product owners and biologists to understand workflows, constraints, business value and opportunities at a granular level.
Spend extensive time 'looking at data'.
Contribute meaningful amounts of code and/or documentation.
Mentor and develop a team of more junior, high performance, impact-oriented engineers and data scientists.

Leadership Python Software Development Artificial Intelligence Keras Machine Learning Numpy People Management PyTorch Cross-functional Team Leadership Algorithms Data science Go Pandas Tensorflow Communication Skills Analytical Skills Collaboration Problem Solving Mentoring Presentation skills Written communication Documentation Coaching

Posted 2024-11-14

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🔥 Vice President, Machine Learning Engineering

Posted 2024-11-14

📍 United States of America

🧭 Full-Time

💸 220000 - 280000 USD per year

🔍 Life Sciences and Healthcare

🏢 Company: jobs

Bachelor’s degree in Computer Science or related field.
8+ years of industry experience with 2+ years in engineering management.
Experience in delivering ML/AI products.
Master’s or Ph.D. in Computer Science, Machine Learning, AI, or related field (preferred).
Collaboration with cross-functional teams.
Ownership of critical problems end-to-end.
Understanding of life sciences processes and product needs.
Experience with current commercial LLMs like GPT-4.
Strong understanding of machine learning algorithms, data preprocessing, and model evaluation.
Experience designing software for the life sciences industry.

Work with the SVP of AI Product Transformation to identify AI implementation opportunities across the Clarivate life sciences portfolio.
Communicate AI investment and growth opportunities to the ELT, CEO, and potentially Board of Directors.
Formulate and lead implementation approaches to achieve AI project goals.
Hire, lead, and manage a diverse, high-performing engineering team.
Work with individual product owners and biologists to understand workflows and business value.
Spend extensive time analyzing data.
Contribute code and documentation.
Mentor junior engineers and data scientists.

Leadership Python Software Development Artificial Intelligence Data Analysis Data Mining Keras Machine Learning Numpy Product Management Cross-functional Team Leadership Strategy Algorithms Data analysis Data mining Go Communication Skills Analytical Skills Collaboration Problem Solving Mentoring Documentation

Posted 2024-11-14

Apply

🔥 Vice President, Machine Learning Engineering

Posted 2024-11-14

📍 United States of America

🧭 Full-Time

💸 220000 - 280000 USD per year

🔍 Life Sciences and Healthcare

🏢 Company: jobs

Bachelor’s degree in Computer Science or related field (or equivalent experience).
8+ years of industry experience and 2+ years in engineering management.
Past experience in delivering working ML/AI products.
Master’s or Ph.D. in Computer Science, Machine Learning, AI, or related field is a plus.
Ability to collaborate with cross-functional teams.
Strong understanding of machine learning algorithms, data preprocessing, and model evaluation.
Experience designing software for the life sciences industry.

Work with the SVP of AI Product Transformation to identify AI implementation opportunities.
Communicate AI investment and growth opportunities to stakeholders.
Lead iteration of implementation approaches to meet AI project goals.
Hire and manage a diverse engineering team.
Collaborate closely with product owners and biologists.
Analyze data and contribute code or documentation.
Mentor and develop junior engineers and data scientists.

Leadership Python Software Development Artificial Intelligence Data Analysis Data Mining Keras Machine Learning Numpy People Management PyTorch Software Architecture Cross-functional Team Leadership Strategy Algorithms Data analysis Data mining Go Pandas Tensorflow Communication Skills Analytical Skills Collaboration Problem Solving Mentoring Coaching

Posted 2024-11-14

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