8,436 Machine Learning Specialist jobs in India
Machine Learning Specialist
Posted 1 day ago
Job Viewed
Job Description
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 .
Machine Learning Specialist
Posted 4 days ago
Job Viewed
Job Description
Machine Learning Specialist
Posted 4 days ago
Job Viewed
Job Description
Role Description
We are seeking a highly skilled Machine Learning Engineer to contribute to diverse healthcare and in-house data initiatives—ranging from complex data analysis and strategic insights to predictive modeling and real-time implementations. You will work closely with cross-functional teams to deliver high-quality, data-driven solutions that drive business impact.
Key Responsibilities
- Develop, implement, and optimize machine learning models for healthcare and internal projects.
- Conduct feature engineering to improve model performance.
- Deliver real-time model predictions and ensure their smooth integration into production systems.
- Collaborate with data scientists, analysts, and product teams to understand requirements and translate them into technical solutions.
- Apply statistical techniques and data analysis to derive insights and recommendations.
- Work with Large Language Models (LLMs) , deep learning architectures, and vector databases where applicable.
- Ensure scalability, efficiency, and reliability of deployed models.
Requirements :
- 1–3 years total professional experience in data or software engineering roles.
- 6–12 months hands-on experience in AI/ML model development and deployment.
- Strong proficiency in Python (mandatory).
- Solid understanding of statistics and its application in data modeling.
- Knowledge of LLMs , deep learning models, and vector databases .
- Experience with feature engineering and implementing real-time predictions.
Machine Learning Specialist
Posted 4 days ago
Job Viewed
Job Description
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.
Machine Learning Specialist
Posted today
Job Viewed
Job Description
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.
Machine Learning Specialist
Posted 1 day ago
Job Viewed
Job Description
We are seeking a highly skilled Machine Learning Engineer to contribute to diverse healthcare and in-house data initiatives—ranging from complex data analysis and strategic insights to predictive modeling and real-time implementations. You will work closely with cross-functional teams to deliver high-quality, data-driven solutions that drive business impact.
Key Responsibilities
- Develop, implement, and optimize machine learning models for healthcare and internal projects.
- Conduct feature engineering to improve model performance.
- Deliver real-time model predictions and ensure their smooth integration into production systems.
- Collaborate with data scientists, analysts, and product teams to understand requirements and translate them into technical solutions.
- Apply statistical techniques and data analysis to derive insights and recommendations.
- Work with Large Language Models (LLMs), deep learning architectures, and vector databases where applicable.
- Ensure scalability, efficiency, and reliability of deployed models.
Requirements :
- 1–3 years total professional experience in data or software engineering roles.
- 6–12 months hands-on experience in AI/ML model development and deployment.
- Strong proficiency in Python (mandatory).
- Solid understanding of statistics and its application in data modeling.
- Knowledge of LLMs, deep learning models, and vector databases.
- Experience with feature engineering and implementing real-time predictions.
Machine Learning Specialist
Posted 1 day ago
Job Viewed
Job Description
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 .
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