Keras Jobs

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🔥 AI Maestro (Hyderabad, India)

Posted 3 days ago

📍 India

🔍 Consulting, Data, AI, and ML

🏢 Company: Xenon7

6+ years of experience in AI roles or relevant fields such as AI, ML, and Data Science.
Expertise and practical experience in one or more domains, such as GenAI in chat bots or robotics.
Deep understanding of data structures, data modeling, and software architecture.
Knowledge of math, algorithms, and applied statistics (e.g. probability, distributions, regression).
Proficiency in pattern recognition and predictive modeling.
Proficiency in programming languages like Python, R, or Scala.
Extensive experience with machine learning toolkits (e.g. Keras, Pytorch, MLFlow).
Working knowledge of cloud computing environments (AWS, GCP, Azure).
Experience collaborating with cross-functional teams.

Work with business leaders to identify problems that can be resolved using artificial intelligence and machine learning technologies.
Use domain expertise to propose and prototype architecture for solutions.
Act as domain consultant on projects to ensure high-quality execution and deliverables.
Propose and participate in the selection of optimal team for a project.
Ensure AI ethics and other SecOps principles are properly implemented on projects.
Contribute to the improvement of Xenon’s assessment and delivery process.
Contribute to developing Xenon’s domain capabilities, content, and competitiveness.

AWS Python Artificial Intelligence Cloud Computing GCP Keras Machine Learning MLFlow PyTorch Software Architecture Algorithms Azure Data Structures Scala Data modeling

Posted 3 days ago

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🔥 ML Engineer (Mid Level)

Posted 4 days ago

📍 Egypt

🧭 Full-Time

🔍 Digital transformation, technology consulting

🏢 Company: robusta

Bachelor's or higher degree in computer science, software engineering, or a related field.
Minimum 2+ years of experience in software engineering, preferably in developing solutions for machine learning and natural language processing applications.
Hands-on experience with programming languages such as Python and Java.
Hands-on experience with the data science and machine learning Python stack (Scikit-learn, Numpy, Pandas).
Basic understanding of machine learning concepts.
Familiarity with AI tools and frameworks such as TensorFlow/Keras and PyTorch.
Familiarity with the HuggingFace Ecosystem (Hub, transformers, datasets).
Familiarity with version control, CI/CD, and containers (Docker).
Solid understanding of software development principles, practices, and methodologies.
Strong communication and collaboration skills.
Ability to learn and adapt to new technologies and frameworks.

Prototype, develop and deploy efficient and scalable machine learning models and end-to-end AI solutions.
Collaborate with clients to identify potential for creating business value and optimizing processes using machine learning and AI technologies.
Design, implement, and test software solutions to meet client needs.
Participate in code reviews to ensure the quality and consistency of development efforts.
Communicate with teams across different locations to ensure timely delivery of projects.
Continuously research and stay up-to-date with AI technologies, tools, and frameworks.
Work closely with software engineers, data scientists, and business stakeholders to deliver high-quality value-driven software solutions.

Docker Python Keras Machine Learning Numpy PyTorch Pandas Tensorflow CI/CD

Posted 4 days ago

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🔥 Data Scientist III

Posted 20 days ago

📍 Remote or State College, PA

🔍 Weather services

🏢 Company: AccuWeather Careers

3+ years of experience in applying machine learning and deep learning algorithms (CNNs, GANs, LSTMs, etc.).
A strong interest and passion for image processing, feature extraction, object detection and recognition, image classification, and motion analysis.
Experience with Python (especially Numpy, Pandas, and Scikit-learn) and the main deep learning frameworks (MLflow, TensorFlow, PyTorch, Keras, Jax, etc.).
Strong background in mathematics, including statistics and optimization.
High level of critical thinking and analysis to resolve complex challenges effectively.
Ability to make prompt, sound decisions faced with complex alternatives.
Self-driven with strong problem-solving skills and adaptability.
Strong verbal and written communication skills along with excellent collaboration abilities.

Build and train complex machine learning models leveraging AccuWeather’s extensive data archives towards the prediction of weather phenomena.
Regularly present model findings and verifications along with areas for further refinement.
Assemble large, complex data sets that align with business requirements, ensuring data integrity and quality.
Perform extraction, transformation, loading, and optimization of data from various sources.
Work closely with internal and external stakeholders including product and executive teams.
Deploy machine learning and deep learning models into production environments.

Python Data Analysis Image Processing Keras Machine Learning MLFlow Numpy PyTorch Pandas Tensorflow

Posted 20 days ago

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🔥 Senior AI Engineer

Posted 24 days ago

📍 USA

💸 142800.0 - 196350.0 USD per year

🔍 Artificial Intelligence

🏢 Company: AppOmni👥 101-250💰 Series C about 2 years agoSaaS Cloud Security Cyber Security Cloud Management Software

At least 5 years of experience in new product development, ideally with a software engineering background.
At least 3 years of experience in machine learning.
Strong programming skills in Python for production implementation.
Experience with libraries: Pandas, PySpark, TensorFlow, Keras, Langchain.
Degree in Engineering, Computer Science, Data Science, or a related field.
Experience in data exploration and science with large datasets.
Experience with machine learning algorithms in large datasets.
Experience in implementing Generative AI.
Excellent communication and collaboration skills.

Design and develop models using tools like Langchain, Scipy, Pandas, etc.
Build data pipelines for large datasets to enable model training.
Select appropriate algorithms for various problems.
Identify patterns and correlations through data modeling.
Research and develop data-driven solutions for business problems.
Analyze and interpret data for insights.
Clean and preprocess data, handling missing values.
Evaluate and test model performance with metrics.
Implement Generative AI where applicable.
Integrate AI solutions into existing systems.
Translate stakeholder requirements into technical solutions.

AWS Python SQL Apache Airflow Cloud Computing Data Analysis GCP Keras Machine Learning PyTorch Data science Pandas Tensorflow

Posted 24 days ago

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🔥 Machine Learning Engineer Lead

Posted 28 days ago

📍 Argentina, United States, Brazil, Colombia, Spain, Uruguay

🔍 Data Products and Machine Learning

Demonstrated leadership skills and experience in client interactions.
Demonstrated work experience in roles such as Machine Learning Engineer, ML Architect or similar.
In-depth understanding of AI/ML principles, including neural networks and various ML models.
Familiarity with Modern Data Architectures and DevOps methodologies.
Previous involvement with data processing ETL and ML workflows.
Understanding of Deep Learning frameworks like Keras, PyTorch, Tensorflow.
Strong grasp of Python and proficiency in at least one other strongly typed language.
Knowledge of mathematical modeling and proficient statistical intuition.
Experience in implementing Machine Learning-based systems and MLOps.
Ability to develop strategic implementation plans.
Intermediate level of English and advanced level of Spanish.

Effectively manage projects by engaging with customers to understand the scope of work.
Lead teams, collaborating with Machine Learning and data engineers.
Champion the productization of ML models following MLOps best practices.
Collaborate with Machine Learning Engineers to develop meaningful ML Proof of Concepts (POCs).
Oversee the lifecycle of Machine Learning models and optimize them as necessary.
Translate business and mathematical/statistical requirements into software implementations.
Explore emerging ML Engineering technologies and techniques.
Participate in defining project roadmaps, timelines, and estimates.
Document and disseminate industry-leading practices in AI/ML.
Collaborate on hiring interview processes.

AWS Docker Python ETL GCP Keras Kubernetes Machine Learning MLFlow PyTorch Tensorflow CI/CD DevOps

Posted 28 days ago

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🔥 Machine Learning Engineer

Posted 28 days ago

📍 Argentina, United States, Brazil, Colombia, Spain, Uruguay

🔍 Data products and Machine Learning Development

Proven Expertise: Demonstrated work experience in roles like Machine Learning Engineer, ML Architect, or Cloud Engineer.
AI/ML Proficiency: Deep understanding of AI/ML principles including neural networks and various ML models.
Data Architecture Knowledge: Familiarity with Data Warehouses, Data Lakes, and DevOps methodologies.
ETL and ML Workflow Experience: Participation in data processing ETL and ML workflows.
Deep Learning Competence: Proficiency in frameworks such as Keras, PyTorch, TensorFlow.
Programming Skills: Strong proficiency in Python and at least one other strongly typed language.
Mathematical and Statistical Acumen: Knowledge in mathematical modeling and statistical principles.
MLOps Mastery: Experience in Machine Learning systems, including model lifecycle management.
Strategic Thinking: Ability to develop implementation plans.
Exceptional capacity for teamwork.
English Intermediate Level and Spanish Advanced Level.

Lead ML Model Productization: Champion the productization of ML models following MLops best practices.
ML POC Development: Collaborate with data scientists to develop meaningful ML Proofs of Concept for internal and client requirements.
ML Model Lifecycle Management: Oversee and optimize the lifecycle of Machine Learning models for performance and efficiency.
Business-Technical Translation: Convert business and mathematical/statistical requirements into software implementations.
Research and Innovation: Investigate new ML technologies to enhance business value.
Bridge DS and DE Roles: Act as a liaison between Data Science and Data Engineering roles.
Project Strategy: Assist in defining project roadmaps and timelines.
Knowledge Sharing: Document and promote industry best practices in AI/ML.
Technical Interviews: Support interview processes for technical recruitment.

AWS Python SQL Apache Airflow ETL Kafka Keras Kubernetes Machine Learning MLFlow PyTorch Spark Tensorflow CI/CD

Posted 28 days ago

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🔥 Senior Machine Learning Engineer

Posted 29 days ago

📍 CEE region

🧭 Full-Time

🔍 Digital commerce

BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python).
5-8 years experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment.
Strong awareness and understanding of recent trends in Generative AI and LLMs.
Strong understanding of various machine learning and natural language processing technologies.
Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in Redshift/BigQuery.
Good problem solving and analytical skills with adaptability to new ML technologies.
Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques.
Experience working with Big Data in a cloud-based production environment (AWS/GCP/Azure).
Effective communication skills in English, both verbally and in written form.

Design, develop, and enhance ML/AI models which mainly power Search and Recommendation.
Process historical data, search queries, product catalog, and images to extract hidden relations and features.
Conduct research to explore ongoing cutting-edge ML techniques and conduct a quick POC.
Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to production-level.
Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences.

AWS Python SQL Cloud Computing Data Analysis Data Mining GCP Keras Machine Learning PyTorch

Posted 29 days ago

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🔥 Senior Machine Learning Engineer

Posted about 1 month ago

📍 Slovakia

🧭 Full-Time

🔍 Digital commerce

🏢 Company: Bloomreach👥 501-1000💰 $30,000,000 Debt Financing over 2 years agoWeb Development Information Technology Marketing Automation Software

BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python).
5-8 years experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment.
Strong awareness and understanding of recent trends in Generative AI and LLMs. Experience in working with GenAI stack will be treated as strong credentials.
Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in Redshift/BigQuery.
Good problem solving and analytical skills. Ability to learn and adapt to newer ML technologies.
Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques (Representation/Transfer Learning, RNN/LSTM, Transformers).
Experience working with Big Data in a cloud based production environment (AWS/GCP/Azure).
Effective communication skill in English, both verbally and in written form.

Design, develop, and enhance ML/AI models which mainly power Search and Recommendation.
Process historical data, search queries, product catalog, and images to extract hidden relations and features.
Conduct research to explore ongoing cutting-edge ML techniques (especially deep learning) and conduct a quick POC.
Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to a production-level that can handle terabytes of data.
Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences.

AWS Python SQL Data Mining GCP Keras Machine Learning PyTorch Tensorflow

Posted about 1 month ago

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🔥 Senior AI Solutions Engineer, Pre-Sales - US (Remote)

Posted about 1 month ago

📍 US

🧭 Full-Time

🔍 AI and Machine Learning

4-6 years of relevant experience in a similar role.
Experience using TensorFlow/Keras, PyTorch Lightning.
Strong proficiency in Python and eagerness to assist Python deep learning users.
Excellent communication and presentation skills.
Ability to manage multiple priorities in a fast-paced environment.
Experience with cloud platforms (AWS, GCP, Azure) and Linux/Unix.

Be an expert in implementing effective, robust, and reproducible machine learning pipelines for engineering teams using Weights & Biases tools.
Partner with our customers and prospects to uncover their desired outcomes and be the trusted advisor.
Articulate product best practices for machine learning pipelines as a trusted advisor.
Provide product demos and workshops to establish technical success in the evaluation process.
Collaborate with Account Executives to create pre-sales lifecycle processes.

AWS Docker Python GCP Keras Kubernetes Machine Learning PyTorch Azure Data engineering Tensorflow Linux

Posted about 1 month ago

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🔥 Data Lead

Posted about 1 month ago

📍 England, United Kingdom

🧭 Full-Time

💸 90000.0 - 110000.0 GBP per year

🔍 Health tech

🏢 Company: Little Journey👥 1-10💰 $7,580,380 Series A 2 months agoClinical Trials Information Technology Health Care

MSc degree or higher in data science or equivalent from a leading university.
Confident in architecting highly efficient, scalable data pipelines.
Expertise in Python and associated data science libraries (e.g Scikit-learn, PyTorch, TensorFlow, Keras...) and modern data pipeline frameworks such as Dagster, dbt.
Strong exposure designing and implementing data science models leading to competitive advantages.
Proficiency in leveraging automation tools.
Experience communicating with non-technical staff such as product manager, clinicians, operational staff, and management.

Ownership and leadership for Little Journey’s data strategy and implementation of data driven projects.
Identify valuable data sources and automate the collection process, embedding this into all Little Journey products.
Hands-on building of models to address business and product challenges.
Build and lead an efficient and autonomous data team.
Creating a Data Architecture and tech stack that aligns with the data roadmap.
Bringing fresh initiatives by putting the right data tooling in place.
Security and compliance management.

Python SQL ETL Keras Machine Learning PyTorch Data engineering Tensorflow Data visualization Data modeling

Posted about 1 month ago

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