12,453 Freelance Data Scientist jobs in India
Data Scientist/Senior Data Scientist
Hyderabad, Andhra Pradesh
Confidential
Posted today
Job Viewed
Job Description
- Design and implement advanced solutions utilizing Large Language Models (LLMs).
- Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
- Conduct research and stay informed about the latest developments in generative AI and LLMs.
- Develop and maintain code libraries, tools, and frameworks to support generative AI development.
- Participate in code reviews and contribute to maintaining high code quality standards.
- Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
- Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
- Possess strong analytical and problem-solving skills.
- Demonstrate excellent communication skills and the ability to work effectively in a team environment.
- Primary Skills:
- Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.
- AND/OR
- Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.
- Generative AI:
- Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
- Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
- Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
- Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.
Skills Required
Tensorflow, Pytorch, FastAPI, Django
This advertiser has chosen not to accept applicants from your region.
0
Data Scientist/Senior Data Scientist
Pune, Maharashtra
Confidential
Posted today
Job Viewed
Job Description
- Design and implement advanced solutions utilizing Large Language Models (LLMs).
- Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
- Conduct research and stay informed about the latest developments in generative AI and LLMs.
- Develop and maintain code libraries, tools, and frameworks to support generative AI development.
- Participate in code reviews and contribute to maintaining high code quality standards.
- Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
- Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
- Possess strong analytical and problem-solving skills.
- Demonstrate excellent communication skills and the ability to work effectively in a team environment.
- Primary Skills:
- Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.
- AND/OR
- Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.
- Generative AI:
- Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
- Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
- Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
- Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.
Skills Required
Tensorflow, Pytorch, FastAPI, Django
This advertiser has chosen not to accept applicants from your region.
1
Data Scientist /Senior Data Scientist
Bengaluru, Karnataka
Prescience Decision Solutions
Posted today
Job Viewed
Job Description
- Conduct product assortment analysis, identify trends and patterns in category performance, and support new product launches.
- Utilize data and visualization techniques to provide actionable insights for store teams, territory, and district managers.
- Design and test campaign effectiveness, analyze cross-sell and up-sell opportunities, and perform Market Basket Analysis.
- Analyze loyalty and customer data to design direct marketing campaigns and measure their effectiveness.
- Translate complex data insights into understandable and actionable information for non-technical and business teams.
Requirements
- Proven experience as a Data Scientist or similar role.
- Strong knowledge of data analysis, statistics, and machine learning.
- Proficiency in data science tools and programming languages such as Python, SQL,Good in ML as well as Business understanding etc.
- Prior experience in CRM, Loyalty, Customer or Retail/CPG Analytics
- Familiarity with:
- Supervised and unsupervised learning techniques
- Deep learning and reinforcement learning
- Evaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI
- Category/Product Analytics,Store Analytics,Marketing and Promotion Analytics,Customer Analytics
- Expertise in visualization tools such as Power BI, Spot fire, or similar.
- Excellent storytelling skills to explain complex data to non-technical/business teams
- Experience in analytics, preferably within Retail, CPG, or E-commerce domains.
- Excellent communication and collaboration skills with the ability to work effectively in a team environment.
Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive insurance plans.
- Collaborative and supportive work environment.
- Chance to learn and grow with a talented team.
- A positive and fun work environment.
This advertiser has chosen not to accept applicants from your region.
2
Senior Data Scientist/ Data Scientist
Mumbai, Maharashtra
Confidential
Posted today
Job Viewed
Job Description
- Lead a small group of DS developers in collaborate/streamline data science work with product, BA, MLOps. Cover tasks in DS model development/redevelopment and support the deployment into multiple markets for production purpose.
- Leading the collaboration with MLOps to understand the need for industrialization, ensure smooth transition from DS development to industrialization by providing sufficient DS support.
- Code development/redevelopment planning, provide direct support to DS developers in the execution.
- Leading model tunning.
- Ensure proper code standard are enforced, complete documentation is created and strong code management through version control. Leading regular code review together with the data scientist project lead.
- Leading the testing/evaluation planning with the data scientist project lead. Establishing model evaluation and validation framework in the context of deployment. Creating standard test report structure.
- Ensure production grade code is developed and maintained for quick roll-out purpose. High level of transparency and replicability is achieved.
- Leading the planning of RCA for any issue identified.
- Creating the monitoring plan for production.
- Support the activities in the UAT with the end users.
- Working as the contingency resource for development to ensure timely delivery.
- Ensure a common code base is created for efficient roll-out in new market with highly modular architecture, well designed data abstraction, high configurability and high level of parameterization.
- Technical Skills:
- Brings 3+ years of deep data science experience.
- Strong knowledge of machine learning and statistical modeling techniques in a in a clouds-based environment such as GCP, Azure, Amazon, Databricks
- Experience with programming languages such as Python, R, Spark
- Strong understanding of data structures, algorithms, and software design principles, highly sensitive to algorithm complexity.
- Experience with GCP platforms and services such as Big Query, Cloud ML Engine, and Cloud Storage
- Experience in configuring and setting up the version control on Code, Data, and Machine Learning Models using GitHub.
- Strong experience in development planning.
- Good knowledge in coding standard, building re-useable services.
- Experience in end-to-end data science project delivery
- Non-Technical Skills:
- Solution Designing
- Critical Thinking
- Ecommerce Domain Understanding (Good to Have)
- EDUCATION:
- B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent.
Recommended: completion of Fractal Data Science Professional Certificate'
Skills Required
MLops, Ds, Rca
This advertiser has chosen not to accept applicants from your region.
3
Senior Data Scientist/ Data Scientist
Confidential
Posted today
Job Viewed
Job Description
- Lead a small group of DS developers in collaborate/streamline data science work with product, BA, MLOps. Cover tasks in DS model development/redevelopment and support the deployment into multiple markets for production purpose.
- Leading the collaboration with MLOps to understand the need for industrialization, ensure smooth transition from DS development to industrialization by providing sufficient DS support.
- Code development/redevelopment planning, provide direct support to DS developers in the execution.
- Leading model tunning.
- Ensure proper code standard are enforced, complete documentation is created and strong code management through version control. Leading regular code review together with the data scientist project lead.
- Leading the testing/evaluation planning with the data scientist project lead. Establishing model evaluation and validation framework in the context of deployment. Creating standard test report structure.
- Ensure production grade code is developed and maintained for quick roll-out purpose. High level of transparency and replicability is achieved.
- Leading the planning of RCA for any issue identified.
- Creating the monitoring plan for production.
- Support the activities in the UAT with the end users.
- Working as the contingency resource for development to ensure timely delivery.
- Ensure a common code base is created for efficient roll-out in new market with highly modular architecture, well designed data abstraction, high configurability and high level of parameterization.
- Technical Skills:
- Brings 3+ years of deep data science experience.
- Strong knowledge of machine learning and statistical modeling techniques in a in a clouds-based environment such as GCP, Azure, Amazon, Databricks
- Experience with programming languages such as Python, R, Spark
- Strong understanding of data structures, algorithms, and software design principles, highly sensitive to algorithm complexity.
- Experience with GCP platforms and services such as Big Query, Cloud ML Engine, and Cloud Storage
- Experience in configuring and setting up the version control on Code, Data, and Machine Learning Models using GitHub.
- Strong experience in development planning.
- Good knowledge in coding standard, building re-useable services.
- Experience in end-to-end data science project delivery
- Non-Technical Skills:
- Solution Designing
- Critical Thinking
- Ecommerce Domain Understanding (Good to Have)
- EDUCATION:
- B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent.
Recommended: completion of Fractal Data Science Professional Certificate'
Skills Required
MLops, Ds, Rca
This advertiser has chosen not to accept applicants from your region.
4
Data Scientist
Cornerstone onDemand
Posted 1 day ago
Job Viewed
Job Description
We are seeking a Software Engineer to join our
innovative data science & generative AI team. The ideal candidate will
possess a strong technical background in data science, machine learning, and
generative AI, combined with fluency in cloud infrastructure and modern data
engineering best practices. In this role, you'll drive the architecture,
design, and implementation of state-of-the-art data and AI solutions that power
our products and services.
**In this role you will.**
+ Collaboratewith team to design, develop, and deploy robust data science and AIsolutions with a focus on generative AI (GenAI) models and frameworks(e.g., LLMs, diffusion models).
+ Optimizeand cloud-based infrastructure (AWS preferred - Good to have) forscalable, reliable, and secure data processing and model deployment.
+ Developand maintain data pipelines, ETL processes, and model training workflows.
+ Buildand implement CI/CD pipelines for machine learning models and dataapplications (e.g., using Jenkins, GitHub Actions, etc.).
+ Optimizedata storage solutions (e.g., data lakes, SQL/NoSQL databases) forperformance and scalability.
+ Collaboratewith cross-functional teams, including product, engineering, and businessstakeholders, to deliver impactful AI features and insights.
+ Monitormodel and system performance, troubleshoot issues, and continuouslyimprove deployment workflows.
+ Stayabreast of advancements in GenAI, MLOps, data science, and cloudtechnologies, bringing fresh ideas to the team.
+ Contributeto technical documentation and participate in code and design reviews.
**You have got what it takes if youhave.**
+ 2+years of hands-on experience in data science, machine learningengineering, or GenAI engineering roles.Proficiencywith at least one programming language used in data science (Pythonpreferred; experience with Java is a plus).
+ Experiencein developing and deploying machine learning, deep learning, or GenerativeAI models (e.g., LLMs, Transformers, diffusion models).
+ Exposureto AWS services (e.g., S3, EC2, Lambda, SageMaker, RDS) or similar cloudplatforms.
+ Hands-onexperience building CI/CD pipelines (e.g., with Jenkins) for machinelearning and data applications.
+ Solidbackground in SQL and/or NoSQL databases, with experience in data modelingand performance tuning.
+ Strongproblem-solving skills and the ability to think critically and creativelyabout data and AI-driven challenges.
+ Excellentcollaboration and communication skills, with a proven ability to work oncross-functional teams.
**An extra dose of awesome ifyou have.**
+ Familiaritywith front-end frameworks for AI-powered applications (e.g., React,Streamlit, Gradio).
+ Experiencewith containerization (e.g., Docker) and orchestration (e.g.,Kubernetes) for machine learning deployments.
+ Experienceworking in Agile environments.
+ Priorexposure to MLOps tools, MLflow, Airflow, or similar workfloworchestrators.
#LI-Onsite
Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at
innovative data science & generative AI team. The ideal candidate will
possess a strong technical background in data science, machine learning, and
generative AI, combined with fluency in cloud infrastructure and modern data
engineering best practices. In this role, you'll drive the architecture,
design, and implementation of state-of-the-art data and AI solutions that power
our products and services.
**In this role you will.**
+ Collaboratewith team to design, develop, and deploy robust data science and AIsolutions with a focus on generative AI (GenAI) models and frameworks(e.g., LLMs, diffusion models).
+ Optimizeand cloud-based infrastructure (AWS preferred - Good to have) forscalable, reliable, and secure data processing and model deployment.
+ Developand maintain data pipelines, ETL processes, and model training workflows.
+ Buildand implement CI/CD pipelines for machine learning models and dataapplications (e.g., using Jenkins, GitHub Actions, etc.).
+ Optimizedata storage solutions (e.g., data lakes, SQL/NoSQL databases) forperformance and scalability.
+ Collaboratewith cross-functional teams, including product, engineering, and businessstakeholders, to deliver impactful AI features and insights.
+ Monitormodel and system performance, troubleshoot issues, and continuouslyimprove deployment workflows.
+ Stayabreast of advancements in GenAI, MLOps, data science, and cloudtechnologies, bringing fresh ideas to the team.
+ Contributeto technical documentation and participate in code and design reviews.
**You have got what it takes if youhave.**
+ 2+years of hands-on experience in data science, machine learningengineering, or GenAI engineering roles.Proficiencywith at least one programming language used in data science (Pythonpreferred; experience with Java is a plus).
+ Experiencein developing and deploying machine learning, deep learning, or GenerativeAI models (e.g., LLMs, Transformers, diffusion models).
+ Exposureto AWS services (e.g., S3, EC2, Lambda, SageMaker, RDS) or similar cloudplatforms.
+ Hands-onexperience building CI/CD pipelines (e.g., with Jenkins) for machinelearning and data applications.
+ Solidbackground in SQL and/or NoSQL databases, with experience in data modelingand performance tuning.
+ Strongproblem-solving skills and the ability to think critically and creativelyabout data and AI-driven challenges.
+ Excellentcollaboration and communication skills, with a proven ability to work oncross-functional teams.
**An extra dose of awesome ifyou have.**
+ Familiaritywith front-end frameworks for AI-powered applications (e.g., React,Streamlit, Gradio).
+ Experiencewith containerization (e.g., Docker) and orchestration (e.g.,Kubernetes) for machine learning deployments.
+ Experienceworking in Agile environments.
+ Priorexposure to MLOps tools, MLflow, Airflow, or similar workfloworchestrators.
#LI-Onsite
Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at
This advertiser has chosen not to accept applicants from your region.
5
Data Scientist
Hyderabad, Andhra Pradesh
Cornerstone onDemand
Posted 1 day ago
Job Viewed
Job Description
We are seeking a Software Engineer to join our
innovative data science & generative AI team. The ideal candidate will
possess a strong technical background in data science, machine learning, and
generative AI, combined with fluency in cloud infrastructure and modern data
engineering best practices. In this role, you'll drive the architecture,
design, and implementation of state-of-the-art data and AI solutions that power
our products and services.
**In this role you will.**
+ Collaboratewith team to design, develop, and deploy robust data science and AIsolutions with a focus on generative AI (GenAI) models and frameworks(e.g., LLMs, diffusion models).
+ Optimizeand cloud-based infrastructure (AWS preferred - Good to have) forscalable, reliable, and secure data processing and model deployment.
+ Developand maintain data pipelines, ETL processes, and model training workflows.
+ Buildand implement CI/CD pipelines for machine learning models and dataapplications (e.g., using Jenkins, GitHub Actions, etc.).
+ Optimizedata storage solutions (e.g., data lakes, SQL/NoSQL databases) forperformance and scalability.
+ Collaboratewith cross-functional teams, including product, engineering, and businessstakeholders, to deliver impactful AI features and insights.
+ Monitormodel and system performance, troubleshoot issues, and continuouslyimprove deployment workflows.
+ Stayabreast of advancements in GenAI, MLOps, data science, and cloudtechnologies, bringing fresh ideas to the team.
+ Contributeto technical documentation and participate in code and design reviews.
**You have got what it takes if youhave.**
+ 2+years of hands-on experience in data science, machine learningengineering, or GenAI engineering roles.Proficiencywith at least one programming language used in data science (Pythonpreferred; experience with Java is a plus).
+ Experiencein developing and deploying machine learning, deep learning, or GenerativeAI models (e.g., LLMs, Transformers, diffusion models).
+ Exposureto AWS services (e.g., S3, EC2, Lambda, SageMaker, RDS) or similar cloudplatforms.
+ Hands-onexperience building CI/CD pipelines (e.g., with Jenkins) for machinelearning and data applications.
+ Solidbackground in SQL and/or NoSQL databases, with experience in data modelingand performance tuning.
+ Strongproblem-solving skills and the ability to think critically and creativelyabout data and AI-driven challenges.
+ Excellentcollaboration and communication skills, with a proven ability to work oncross-functional teams.
**An extra dose of awesome ifyou have.**
+ Familiaritywith front-end frameworks for AI-powered applications (e.g., React,Streamlit, Gradio).
+ Experiencewith containerization (e.g., Docker) and orchestration (e.g.,Kubernetes) for machine learning deployments.
+ Experienceworking in Agile environments.
+ Priorexposure to MLOps tools, MLflow, Airflow, or similar workfloworchestrators.
#LI-Onsite
Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at
innovative data science & generative AI team. The ideal candidate will
possess a strong technical background in data science, machine learning, and
generative AI, combined with fluency in cloud infrastructure and modern data
engineering best practices. In this role, you'll drive the architecture,
design, and implementation of state-of-the-art data and AI solutions that power
our products and services.
**In this role you will.**
+ Collaboratewith team to design, develop, and deploy robust data science and AIsolutions with a focus on generative AI (GenAI) models and frameworks(e.g., LLMs, diffusion models).
+ Optimizeand cloud-based infrastructure (AWS preferred - Good to have) forscalable, reliable, and secure data processing and model deployment.
+ Developand maintain data pipelines, ETL processes, and model training workflows.
+ Buildand implement CI/CD pipelines for machine learning models and dataapplications (e.g., using Jenkins, GitHub Actions, etc.).
+ Optimizedata storage solutions (e.g., data lakes, SQL/NoSQL databases) forperformance and scalability.
+ Collaboratewith cross-functional teams, including product, engineering, and businessstakeholders, to deliver impactful AI features and insights.
+ Monitormodel and system performance, troubleshoot issues, and continuouslyimprove deployment workflows.
+ Stayabreast of advancements in GenAI, MLOps, data science, and cloudtechnologies, bringing fresh ideas to the team.
+ Contributeto technical documentation and participate in code and design reviews.
**You have got what it takes if youhave.**
+ 2+years of hands-on experience in data science, machine learningengineering, or GenAI engineering roles.Proficiencywith at least one programming language used in data science (Pythonpreferred; experience with Java is a plus).
+ Experiencein developing and deploying machine learning, deep learning, or GenerativeAI models (e.g., LLMs, Transformers, diffusion models).
+ Exposureto AWS services (e.g., S3, EC2, Lambda, SageMaker, RDS) or similar cloudplatforms.
+ Hands-onexperience building CI/CD pipelines (e.g., with Jenkins) for machinelearning and data applications.
+ Solidbackground in SQL and/or NoSQL databases, with experience in data modelingand performance tuning.
+ Strongproblem-solving skills and the ability to think critically and creativelyabout data and AI-driven challenges.
+ Excellentcollaboration and communication skills, with a proven ability to work oncross-functional teams.
**An extra dose of awesome ifyou have.**
+ Familiaritywith front-end frameworks for AI-powered applications (e.g., React,Streamlit, Gradio).
+ Experiencewith containerization (e.g., Docker) and orchestration (e.g.,Kubernetes) for machine learning deployments.
+ Experienceworking in Agile environments.
+ Priorexposure to MLOps tools, MLflow, Airflow, or similar workfloworchestrators.
#LI-Onsite
Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at
This advertiser has chosen not to accept applicants from your region.
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6
Data Scientist
Hyderabad, Andhra Pradesh
Cornerstone onDemand
Posted 1 day ago
Job Viewed
Job Description
We are seeking a Software Engineer to join our
innovative data science & generative AI team. The ideal candidate will
possess a strong technical background in data science, machine learning, and
generative AI, combined with fluency in cloud infrastructure and modern data
engineering best practices. In this role, you'll drive the architecture,
design, and implementation of state-of-the-art data and AI solutions that power
our products and services.
**In this role you will.**
+ Collaboratewith team to design, develop, and deploy robust data science and AIsolutions with a focus on generative AI (GenAI) models and frameworks(e.g., LLMs, diffusion models).
+ Optimizeand cloud-based infrastructure (AWS preferred - Good to have) forscalable, reliable, and secure data processing and model deployment.
+ Developand maintain data pipelines, ETL processes, and model training workflows.
+ Buildand implement CI/CD pipelines for machine learning models and dataapplications (e.g., using Jenkins, GitHub Actions, etc.).
+ Optimizedata storage solutions (e.g., data lakes, SQL/NoSQL databases) forperformance and scalability.
+ Collaboratewith cross-functional teams, including product, engineering, and businessstakeholders, to deliver impactful AI features and insights.
+ Monitormodel and system performance, troubleshoot issues, and continuouslyimprove deployment workflows.
+ Stayabreast of advancements in GenAI, MLOps, data science, and cloudtechnologies, bringing fresh ideas to the team.
+ Contributeto technical documentation and participate in code and design reviews.
**You have got what it takes if youhave.**
+ 2+years of hands-on experience in data science, machine learningengineering, or GenAI engineering roles.Proficiencywith at least one programming language used in data science (Pythonpreferred; experience with Java is a plus).
+ Experiencein developing and deploying machine learning, deep learning, or GenerativeAI models (e.g., LLMs, Transformers, diffusion models).
+ Exposureto AWS services (e.g., S3, EC2, Lambda, SageMaker, RDS) or similar cloudplatforms.
+ Hands-onexperience building CI/CD pipelines (e.g., with Jenkins) for machinelearning and data applications.
+ Solidbackground in SQL and/or NoSQL databases, with experience in data modelingand performance tuning.
+ Strongproblem-solving skills and the ability to think critically and creativelyabout data and AI-driven challenges.
+ Excellentcollaboration and communication skills, with a proven ability to work oncross-functional teams.
**An extra dose of awesome ifyou have.**
+ Familiaritywith front-end frameworks for AI-powered applications (e.g., React,Streamlit, Gradio).
+ Experiencewith containerization (e.g., Docker) and orchestration (e.g.,Kubernetes) for machine learning deployments.
+ Experienceworking in Agile environments.
+ Priorexposure to MLOps tools, MLflow, Airflow, or similar workfloworchestrators.
#LI-Onsite
Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at
innovative data science & generative AI team. The ideal candidate will
possess a strong technical background in data science, machine learning, and
generative AI, combined with fluency in cloud infrastructure and modern data
engineering best practices. In this role, you'll drive the architecture,
design, and implementation of state-of-the-art data and AI solutions that power
our products and services.
**In this role you will.**
+ Collaboratewith team to design, develop, and deploy robust data science and AIsolutions with a focus on generative AI (GenAI) models and frameworks(e.g., LLMs, diffusion models).
+ Optimizeand cloud-based infrastructure (AWS preferred - Good to have) forscalable, reliable, and secure data processing and model deployment.
+ Developand maintain data pipelines, ETL processes, and model training workflows.
+ Buildand implement CI/CD pipelines for machine learning models and dataapplications (e.g., using Jenkins, GitHub Actions, etc.).
+ Optimizedata storage solutions (e.g., data lakes, SQL/NoSQL databases) forperformance and scalability.
+ Collaboratewith cross-functional teams, including product, engineering, and businessstakeholders, to deliver impactful AI features and insights.
+ Monitormodel and system performance, troubleshoot issues, and continuouslyimprove deployment workflows.
+ Stayabreast of advancements in GenAI, MLOps, data science, and cloudtechnologies, bringing fresh ideas to the team.
+ Contributeto technical documentation and participate in code and design reviews.
**You have got what it takes if youhave.**
+ 2+years of hands-on experience in data science, machine learningengineering, or GenAI engineering roles.Proficiencywith at least one programming language used in data science (Pythonpreferred; experience with Java is a plus).
+ Experiencein developing and deploying machine learning, deep learning, or GenerativeAI models (e.g., LLMs, Transformers, diffusion models).
+ Exposureto AWS services (e.g., S3, EC2, Lambda, SageMaker, RDS) or similar cloudplatforms.
+ Hands-onexperience building CI/CD pipelines (e.g., with Jenkins) for machinelearning and data applications.
+ Solidbackground in SQL and/or NoSQL databases, with experience in data modelingand performance tuning.
+ Strongproblem-solving skills and the ability to think critically and creativelyabout data and AI-driven challenges.
+ Excellentcollaboration and communication skills, with a proven ability to work oncross-functional teams.
**An extra dose of awesome ifyou have.**
+ Familiaritywith front-end frameworks for AI-powered applications (e.g., React,Streamlit, Gradio).
+ Experiencewith containerization (e.g., Docker) and orchestration (e.g.,Kubernetes) for machine learning deployments.
+ Experienceworking in Agile environments.
+ Priorexposure to MLOps tools, MLflow, Airflow, or similar workfloworchestrators.
#LI-Onsite
Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at
This advertiser has chosen not to accept applicants from your region.
7
Data Scientist
Cornerstone onDemand
Posted 1 day ago
Job Viewed
Job Description
We are seeking a Software Engineer to join our
innovative data science & generative AI team. The ideal candidate will
possess a strong technical background in data science, machine learning, and
generative AI, combined with fluency in cloud infrastructure and modern data
engineering best practices. In this role, you'll drive the architecture,
design, and implementation of state-of-the-art data and AI solutions that power
our products and services.
**In this role you will.**
+ Collaboratewith team to design, develop, and deploy robust data science and AIsolutions with a focus on generative AI (GenAI) models and frameworks(e.g., LLMs, diffusion models).
+ Optimizeand cloud-based infrastructure (AWS preferred - Good to have) forscalable, reliable, and secure data processing and model deployment.
+ Developand maintain data pipelines, ETL processes, and model training workflows.
+ Buildand implement CI/CD pipelines for machine learning models and dataapplications (e.g., using Jenkins, GitHub Actions, etc.).
+ Optimizedata storage solutions (e.g., data lakes, SQL/NoSQL databases) forperformance and scalability.
+ Collaboratewith cross-functional teams, including product, engineering, and businessstakeholders, to deliver impactful AI features and insights.
+ Monitormodel and system performance, troubleshoot issues, and continuouslyimprove deployment workflows.
+ Stayabreast of advancements in GenAI, MLOps, data science, and cloudtechnologies, bringing fresh ideas to the team.
+ Contributeto technical documentation and participate in code and design reviews.
**You have got what it takes if youhave.**
+ 2+years of hands-on experience in data science, machine learningengineering, or GenAI engineering roles.Proficiencywith at least one programming language used in data science (Pythonpreferred; experience with Java is a plus).
+ Experiencein developing and deploying machine learning, deep learning, or GenerativeAI models (e.g., LLMs, Transformers, diffusion models).
+ Exposureto AWS services (e.g., S3, EC2, Lambda, SageMaker, RDS) or similar cloudplatforms.
+ Hands-onexperience building CI/CD pipelines (e.g., with Jenkins) for machinelearning and data applications.
+ Solidbackground in SQL and/or NoSQL databases, with experience in data modelingand performance tuning.
+ Strongproblem-solving skills and the ability to think critically and creativelyabout data and AI-driven challenges.
+ Excellentcollaboration and communication skills, with a proven ability to work oncross-functional teams.
**An extra dose of awesome ifyou have.**
+ Familiaritywith front-end frameworks for AI-powered applications (e.g., React,Streamlit, Gradio).
+ Experiencewith containerization (e.g., Docker) and orchestration (e.g.,Kubernetes) for machine learning deployments.
+ Experienceworking in Agile environments.
+ Priorexposure to MLOps tools, MLflow, Airflow, or similar workfloworchestrators.
#LI-Onsite
Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at
innovative data science & generative AI team. The ideal candidate will
possess a strong technical background in data science, machine learning, and
generative AI, combined with fluency in cloud infrastructure and modern data
engineering best practices. In this role, you'll drive the architecture,
design, and implementation of state-of-the-art data and AI solutions that power
our products and services.
**In this role you will.**
+ Collaboratewith team to design, develop, and deploy robust data science and AIsolutions with a focus on generative AI (GenAI) models and frameworks(e.g., LLMs, diffusion models).
+ Optimizeand cloud-based infrastructure (AWS preferred - Good to have) forscalable, reliable, and secure data processing and model deployment.
+ Developand maintain data pipelines, ETL processes, and model training workflows.
+ Buildand implement CI/CD pipelines for machine learning models and dataapplications (e.g., using Jenkins, GitHub Actions, etc.).
+ Optimizedata storage solutions (e.g., data lakes, SQL/NoSQL databases) forperformance and scalability.
+ Collaboratewith cross-functional teams, including product, engineering, and businessstakeholders, to deliver impactful AI features and insights.
+ Monitormodel and system performance, troubleshoot issues, and continuouslyimprove deployment workflows.
+ Stayabreast of advancements in GenAI, MLOps, data science, and cloudtechnologies, bringing fresh ideas to the team.
+ Contributeto technical documentation and participate in code and design reviews.
**You have got what it takes if youhave.**
+ 2+years of hands-on experience in data science, machine learningengineering, or GenAI engineering roles.Proficiencywith at least one programming language used in data science (Pythonpreferred; experience with Java is a plus).
+ Experiencein developing and deploying machine learning, deep learning, or GenerativeAI models (e.g., LLMs, Transformers, diffusion models).
+ Exposureto AWS services (e.g., S3, EC2, Lambda, SageMaker, RDS) or similar cloudplatforms.
+ Hands-onexperience building CI/CD pipelines (e.g., with Jenkins) for machinelearning and data applications.
+ Solidbackground in SQL and/or NoSQL databases, with experience in data modelingand performance tuning.
+ Strongproblem-solving skills and the ability to think critically and creativelyabout data and AI-driven challenges.
+ Excellentcollaboration and communication skills, with a proven ability to work oncross-functional teams.
**An extra dose of awesome ifyou have.**
+ Familiaritywith front-end frameworks for AI-powered applications (e.g., React,Streamlit, Gradio).
+ Experiencewith containerization (e.g., Docker) and orchestration (e.g.,Kubernetes) for machine learning deployments.
+ Experienceworking in Agile environments.
+ Priorexposure to MLOps tools, MLflow, Airflow, or similar workfloworchestrators.
#LI-Onsite
Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at
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