343 Machine Learning Specialist jobs in Mumbai

Description

• Expertise in Agile Methodology
• Strong experience in Agile methodologies, with a focus on continuous testing and delivery cycles.
• Python Programming
• Proficiency in Python (preferred) and Java for AI and ML automation tasks.
• Testing AI & ML Models
• Experience testing Generative AI models, Large Language Models (LLMs) , and AI-driven systems (e.g., Chatbots, AI agents).
• Automation Frameworks for AI
• Hands-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 Strategy
• Ability to develop automation test strategies for AI/ML applications deployed on public and private cloud environments .
• API and Web Services Testing
• Strong experience in testing RESTful APIs and Web services using tools like Postman and Rest API .
• CI/CD Automation
• Experience in testing and test planning for CI/CD solutions, especially for AI-driven products.
• Test Management Tools
• Proficient in using Azure DevOps (ADO) or other test management tools to streamline test case management and reporting.
• Various Testing Types
• Experience in Functional , Regression , UI/Usability , and Integration testing for AI/ML applications.
• Exposure to Cloud Platforms
• Good exposure to cloud platforms such as AWS and Azure for deploying and testing AI systems.
• AI Product Workflow Understanding
• Familiarity with agentic workflows and AI system interactions in end-to-end product use cases.

Description

• Expertise in Agile Methodology
• Strong experience in Agile methodologies, with a focus on continuous testing and delivery cycles.
• Python Programming
• Proficiency in Python (preferred) and Java for AI and ML automation tasks.
• Testing AI & ML Models
• Experience testing Generative AI models, Large Language Models (LLMs) , and AI-driven systems (e.g., Chatbots, AI agents).
• Automation Frameworks for AI
• Hands-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 Strategy
• Ability to develop automation test strategies for AI/ML applications deployed on public and private cloud environments .
• API and Web Services Testing
• Strong experience in testing RESTful APIs and Web services using tools like Postman and Rest API .
• CI/CD Automation
• Experience in testing and test planning for CI/CD solutions, especially for AI-driven products.
• Test Management Tools
• Proficient in using Azure DevOps (ADO) or other test management tools to streamline test case management and reporting.
• Various Testing Types
• Experience in Functional , Regression , UI/Usability , and Integration testing for AI/ML applications.
• Exposure to Cloud Platforms
• Good exposure to cloud platforms such as AWS and Azure for deploying and testing AI systems.
• AI Product Workflow Understanding
• Familiarity with agentic workflows and AI system interactions in end-to-end product use cases.

Description

1. Expertise in Agile Methodology
2. Strong experience in Agile methodologies, with a focus on continuous testing and delivery cycles.
3. Python Programming
4. Proficiency in Python (preferred) and Java for AI and ML automation tasks.
5. Testing AI & ML Models
6. Experience testing Generative AI models, Large Language Models (LLMs) , and AI-driven systems (e.g., Chatbots, AI agents).
7. Automation Frameworks for AI
8. Hands-on experience designing automation frameworks using tools like pytest , mlflow , Selenium , or Serenity BDD for AI/ML applications.
9. Estimation techniques for Automation testing efforts (Design and Execution).
10. Cloud Automation Strategy
11. Ability to develop automation test strategies for AI/ML applications deployed on public and private cloud environments .
12. API and Web Services Testing
13. Strong experience in testing RESTful APIs and Web services using tools like Postman and Rest API .
14. CI/CD Automation
15. Experience in testing and test planning for CI/CD solutions, especially for AI-driven products.
16. Test Management Tools
17. Proficient in using Azure DevOps (ADO) or other test management tools to streamline test case management and reporting.
18. Various Testing Types
19. Experience in Functional , Regression , UI/Usability , and Integration testing for AI/ML applications.
20. Exposure to Cloud Platforms
21. Good exposure to cloud platforms such as AWS and Azure for deploying and testing AI systems.
22. AI Product Workflow Understanding
23. Familiarity with agentic workflows and AI system interactions in end-to-end product use cases.

Description

1. Expertise in Agile Methodology
2. Strong experience in Agile methodologies, with a focus on continuous testing and delivery cycles.
3. Python Programming
4. Proficiency in Python (preferred) and Java for AI and ML automation tasks.
5. Testing AI & ML Models
6. Experience testing Generative AI models, Large Language Models (LLMs) , and AI-driven systems (e.g., Chatbots, AI agents).
7. Automation Frameworks for AI
8. Hands-on experience designing automation frameworks using tools like pytest , mlflow , Selenium , or Serenity BDD for AI/ML applications.
9. Estimation techniques for Automation testing efforts (Design and Execution).
10. Cloud Automation Strategy
11. Ability to develop automation test strategies for AI/ML applications deployed on public and private cloud environments .
12. API and Web Services Testing
13. Strong experience in testing RESTful APIs and Web services using tools like Postman and Rest API .
14. CI/CD Automation
15. Experience in testing and test planning for CI/CD solutions, especially for AI-driven products.
16. Test Management Tools
17. Proficient in using Azure DevOps (ADO) or other test management tools to streamline test case management and reporting.
18. Various Testing Types
19. Experience in Functional , Regression , UI/Usability , and Integration testing for AI/ML applications.
20. Exposure to Cloud Platforms
21. Good exposure to cloud platforms such as AWS and Azure for deploying and testing AI systems.
22. AI Product Workflow Understanding
23. Familiarity with agentic workflows and AI system interactions in end-to-end product use cases.

Business Function

The Data Chapter is a strategic partner to the business, leveraging cutting-edge AI and ML technologies to drive data-led initiatives that mitigate risk, generate revenue, and improve operational efficiency. We ensure data integrity and governance, providing high-quality analysis, insights, and automation to empower data-driven decision-making across DBS. Our collaborative approach ensures timely and actionable solutions that support the organization's strategic objectives

Responsibilities:

Requirements:

Apply Now

We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.

Primary Location

Job

Schedule

Employee Status

Job Posting

About the Internship:

We are offering an exciting opportunity for freshers and recent graduates to work on a live AI-driven project. If you are passionate about Data Science, AI, and Full-Stack Development, this internship will give you practical exposure to building and scaling an AI product from the ground up.

Internship Details:

• Duration: 4 Months
• Type: Internship (Unpaid – Experience & Mentorship only)
• Location: Remote / Mumbai preferred
• Eligibility: Freshers or recently passed-out candidates

Responsibilities:

• Build and fine-tune AI/ML models (time-series forecasting, regression, prediction).
• Develop and maintain data pipelines to handle real-world business datasets.
• Contribute to front-end dashboards for visualizing AI insights.
• Work on back-end development (APIs, data integration, model deployment).
• Create impactful data visualizations that translate AI outputs into business insights.
• Collaborate with mentors and product team to improve AI features.

Requirements:

• Knowledge of Python and data libraries (pandas, NumPy, scikit-learn, statsmodels, Prophet).
• Understanding of AI/ML concepts (forecasting, predictive modeling, regression).
• Basic knowledge of front-end frameworks (React/Angular/Vue).
• Basic knowledge of back-end frameworks (Flask, Django, ).
• Familiarity with databases (SQL, NoSQL).
• Problem-solving skills, curiosity, and eagerness to learn.

What You'll Gain:

• Hands-on experience in AI development with real datasets.
• Learn to integrate AI models into full-stack applications.
• Mentorship from professionals working on AI-driven projects.
• Opportunity to work on a live AI product and see your work make impact.
• Certificate of Internship & Letter of Recommendation on successful completion.

How to Apply:

Apply via Indeed with your resume and a short note on why you're excited to work on an AI-related project. or send your resume at

If you are looking to kickstart your career in AI, Data Science, and Full-Stack Development, this internship is a chance to work on something real, impactful, and career-shaping.

Job Types: Part-time, Fresher, Internship

Contract length: 4 months

Pay: From ₹3,000.00 per month

Expected hours: 48 per week

Work Location: Remote

Data Science & Analytics Intern (Virtual | Flexible Duration)

Skillfied Mentor is inviting applications for the role of
Data Science & Analytics Intern
, a golden opportunity for students and freshers to explore the world of
data-driven insights and machine learning applications
.

Key Details:

Mode: Virtual (Work from Anywhere)

Duration: Flexible, as per your schedule

Stipend: Unpaid (Top performers will receive recognition & rewards)

Certificate: ISO-verified internship completion certificate

Application Deadline:
25th August

Eligibility:

Open to students, freshers, and early professionals

Interest in
data science, analytics, and problem-solving

Basic knowledge of Python, SQL, Excel, or Statistics preferred (not mandatory)

Strong analytical mindset and eagerness to learn

Why Join Us?

This internship will help you build skills in
data analysis, visualization, and predictive modelling
, preparing you for roles in
Data Science, Machine Learning, and Business Analytics
.

Apply before
20th August
to secure your spot in our upcoming batch.

Data Science, Machine Learning, SQL, Python

Location : Mumbai

NP : Immediate

Experience : 3 to5 yrs

Budget : Max 10LPA

Payroll Company:
Prontoex Consulting Services Pvt Ltd

Client:

Comsense Technologies Private Limited, 7th Floor Property bearing No.465/E1, Park Plaza, IndiQube, CTS-1085, Ganeshkhind Rd, Shivajinagar, Pune, Maharashtra

JD :

Skills Required: Data Science, Machine Learning, SQL, Python.

Roles & Responsibilities

• Investigate the feasibility of applying scientific and mathematical principles to real-world business problems.

• Develop new algorithms and enhance existing ones to solve domain-specific challenges.

• Build, train, and deploy machine learning models end-to-end.
• Collaborate with product and engineering teams to integrate models into production systems.

• Develop POCs and drive innovation by exploring emerging technologies and methodologies.

• Work with cross-functional teams (Data Engineering, Advisory, Product) to identify opportunities and implement process improvements,

Mandatory Skills & Experience

• Machine Learning – Hands-on experience building at least one ML model independently (end-to-end).

• Programming – Strong skills in Python and SQL (PySpark experience is a plus).

• Strong problem-solving, analytical thinking, and ability to translate business needs into data-driven solutions.
• Good communication and collaboration skill