11,181 Machine Learning Specialist jobs in India

Job Title: Cloud and MLOps Developer

Location: Bangalore

Required Skills:

• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Proficiency in MLOps tools like MLflow, Kubeflow, or SageMaker Pipelines.
• Strong knowledge of Docker, Kubernetes , and container orchestration.
• Proficient in Python, Bash , and basic scripting for automation.
• Experience with CI/CD tools and version control systems (e.g., Git).
• Familiarity with data and model versioning tools like DVC.
• Good understanding of machine learning lifecycle and ML model management.
• Knowledge of networking, security, and infrastructure automation .

Dear Candidate,

Greetings from HCL Tech!

We are hiring Data scientist – Machine Learning requirement

Below is the JD for your perusal:

JD:

• Develop and implement AI models capable of accurate predictions.

• Analyze input data to identify key factors influencing rapid movements, utilizing data-driven insights.

• Establish and maintain a continuous learning framework to update models based on planner feedback.

Skills:

• Expert in AI and machine learning model development

• Strong programming knowledge in Python

Rate your self on below Skils

AI models

Machine Learning

Python

If interested, kindly revert this mail with the details in the below format along with updated resume

Name

Contact Number

Email ID

Current Location

Preferred Location

Total Experience

Relevant Experience

Current Organisation

Current CTC

Expected CTC

Notice Period

Regards

Durga Karunakaran

HCL Technologies Ltd.

Job Title: Cloud and MLOps Developer

Location: Bangalore

Required Skills:

• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Proficiency in MLOps tools like MLflow, Kubeflow, or SageMaker Pipelines.
• Strong knowledge of Docker, Kubernetes, and container orchestration.
• Proficient in Python, Bash, and basic scripting for automation.
• Experience with CI/CD tools and version control systems (e.g., Git).
• Familiarity with data and model versioning tools like DVC.
• Good understanding of machine learning lifecycle and ML model management.
• Knowledge of networking, security, and infrastructure automation.

Dear Candidate,

Greetings from HCL Tech!

We are hiring Data scientist – Machine Learning requirement

Below is the JD for your perusal:

JD:

• Develop and implement AI models capable of accurate predictions.

• Analyze input data to identify key factors influencing rapid movements, utilizing data-driven insights.

• Establish and maintain a continuous learning framework to update models based on planner feedback.

Skills:

• Expert in AI and machine learning model development

• Strong programming knowledge in Python

Rate your self on below Skils

AI models

Machine Learning

Python

If interested, kindly revert this mail with the details in the below format along with updated resume

Name

Contact Number

Email ID

Current Location

Preferred Location

Total Experience

Relevant Experience

Current Organisation

Current CTC

Expected CTC

Notice Period

Regards

Durga Karunakaran

HCL Technologies Ltd.

DescriptionExpertise in Agile MethodologyStrong experience in Agile methodologies, with a focus on continuous testing and delivery cycles.Python ProgrammingProficiency in Python (preferred) and Java for AI and ML automation tasks.Testing AI & ML ModelsExperience testing Generative AI models, Large Language Models (LLMs), and AI-driven systems (e.g., Chatbots, AI agents).Automation Frameworks for AIHands-on experience designing automation frameworks using tools like pytest, mlflow, Selenium, or Serenity BDD for AI/ML applications.Estimation techniques for Automation testing efforts (Design and Execution).Cloud Automation StrategyAbility to develop automation test strategies for AI/ML applications deployed on public and private cloud environments.API and Web Services TestingStrong experience in testing RESTful APIs and Web services using tools like Postman and Rest API.CI/CD AutomationExperience in testing and test planning for CI/CD solutions, especially for AI-driven products.Test Management ToolsProficient in using Azure Dev Ops (ADO) or other test management tools to streamline test case management and reporting.Various Testing TypesExperience in Functional, Regression, UI/Usability, and Integration testing for AI/ML applications.Exposure to Cloud PlatformsGood exposure to cloud platforms such as AWS and Azure for deploying and testing AI systems.AI Product Workflow UnderstandingFamiliarity with agentic workflows and AI system interactions in end-to-end product use cases.

DescriptionExpertise in Agile MethodologyStrong experience in Agile methodologies, with a focus on continuous testing and delivery cycles.Python ProgrammingProficiency in Python (preferred) and Java for AI and ML automation tasks.Testing AI & ML ModelsExperience testing Generative AI models, Large Language Models (LLMs), and AI-driven systems (e.g., Chatbots, AI agents).Automation Frameworks for AIHands-on experience designing automation frameworks using tools like pytest, mlflow, Selenium, or Serenity BDD for AI/ML applications.Estimation techniques for Automation testing efforts (Design and Execution).Cloud Automation StrategyAbility to develop automation test strategies for AI/ML applications deployed on public and private cloud environments.API and Web Services TestingStrong experience in testing RESTful APIs and Web services using tools like Postman and Rest API.CI/CD AutomationExperience in testing and test planning for CI/CD solutions, especially for AI-driven products.Test Management ToolsProficient in using Azure Dev Ops (ADO) or other test management tools to streamline test case management and reporting.Various Testing TypesExperience in Functional, Regression, UI/Usability, and Integration testing for AI/ML applications.Exposure to Cloud PlatformsGood exposure to cloud platforms such as AWS and Azure for deploying and testing AI systems.AI Product Workflow UnderstandingFamiliarity with agentic workflows and AI system interactions in end-to-end product use cases.

Dear Candidate, Greetings from HCL Tech! We are hiring Data scientist – Machine Learning requirement Below is the JD for your perusal:JD:• Develop and implement AI models capable of accurate predictions.• Analyze input data to identify key factors influencing rapid movements, utilizing data-driven insights.• Establish and maintain a continuous learning framework to update models based on planner feedback.Skills:• Expert in AI and machine learning model development• Strong programming knowledge in PythonRate your self on below SkilsAI modelsMachine LearningPythonIf interested, kindly revert this mail with the details in the below format along with updated resume Name Contact Number Email ID Current Location Preferred Location Total Experience Relevant Experience Current Organisation Current CTC Expected CTC Notice Period RegardsDurga KarunakaranHCL Technologies Ltd.

DescriptionExpertise in Agile MethodologyStrong experience in Agile methodologies, with a focus on continuous testing and delivery cycles.Python ProgrammingProficiency in Python (preferred) and Java for AI and ML automation tasks.Testing AI & ML ModelsExperience testing Generative AI models, Large Language Models (LLMs), and AI-driven systems (e.g., Chatbots, AI agents).Automation Frameworks for AIHands-on experience designing automation frameworks using tools like pytest, mlflow, Selenium, or Serenity BDD for AI/ML applications.Estimation techniques for Automation testing efforts (Design and Execution).Cloud Automation StrategyAbility to develop automation test strategies for AI/ML applications deployed on public and private cloud environments.API and Web Services TestingStrong experience in testing RESTful APIs and Web services using tools like Postman and Rest API.CI/CD AutomationExperience in testing and test planning for CI/CD solutions, especially for AI-driven products.Test Management ToolsProficient in using Azure Dev Ops (ADO) or other test management tools to streamline test case management and reporting.Various Testing TypesExperience in Functional, Regression, UI/Usability, and Integration testing for AI/ML applications.Exposure to Cloud PlatformsGood exposure to cloud platforms such as AWS and Azure for deploying and testing AI systems.AI Product Workflow UnderstandingFamiliarity with agentic workflows and AI system interactions in end-to-end product use cases.

DescriptionExpertise in Agile MethodologyStrong experience in Agile methodologies, with a focus on continuous testing and delivery cycles.Python ProgrammingProficiency in Python (preferred) and Java for AI and ML automation tasks.Testing AI & ML ModelsExperience testing Generative AI models, Large Language Models (LLMs), and AI-driven systems (e.g., Chatbots, AI agents).Automation Frameworks for AIHands-on experience designing automation frameworks using tools like pytest, mlflow, Selenium, or Serenity BDD for AI/ML applications.Estimation techniques for Automation testing efforts (Design and Execution).Cloud Automation StrategyAbility to develop automation test strategies for AI/ML applications deployed on public and private cloud environments.API and Web Services TestingStrong experience in testing RESTful APIs and Web services using tools like Postman and Rest API.CI/CD AutomationExperience in testing and test planning for CI/CD solutions, especially for AI-driven products.Test Management ToolsProficient in using Azure Dev Ops (ADO) or other test management tools to streamline test case management and reporting.Various Testing TypesExperience in Functional, Regression, UI/Usability, and Integration testing for AI/ML applications.Exposure to Cloud PlatformsGood exposure to cloud platforms such as AWS and Azure for deploying and testing AI systems.AI Product Workflow UnderstandingFamiliarity with agentic workflows and AI system interactions in end-to-end product use cases.