11+ Data Loader Jobs in Pune | Data Loader Job openings in Pune

Key Responsibilities 

Develop and deploy scalable AI-powered applications using the Python stack. 

Leverage cutting-edge AI/ML technologies such as LangChain, LangGraph, AutoGen, Phidata, CrewAI Hugging Face, OpenAI APIs, PyTorch, TensorFlow, and other advanced frameworks to build innovative AI applications. Write clean, efficient, and well-documented code adhering to best practices. 

Build and manage robust APIs for integrating AI solutions into applications. 

Research and experiment with emerging technologies to discover new AI-driven use cases. 

Deploy and manage AI solutions in cloud environments (AWS, Azure, GCP), ensuring security, scalability, and performance. 

Collaborate with product managers, engineers, and UX/UI designers to define AI application requirements and align them with business objectives. 

Apply MLOps principles to streamline AI model deployment, monitoring, and optimization. 

Solve complex problems using foundational knowledge of generative AI, machine learning, and data processing techniques. 

Contribute to continuous improvement of development processes and practices. 

Resolve production issues by conducting effective troubleshooting and root cause analysis (RCA) within SLAs. Work with operations teams to support product deployment and issue resolution. 

Requirements 

Educational Background 

Bachelor’s or Master’s degree in Computer Science or related fields with a strong academic track record. Experience 

Technical Skills: 

3+ years of hands-on experience in building and deploying AI applications on Python stack. Strong knowledge of Python and related frameworks. 

Good knowledge of few of the AI/ML frameworks and agentic frameworks and platforms like LangChain, LangGraph, AutoGen, Hugging Face, CrewAI, OpenAI APIs, PyTorch, and TensorFlow etc. 

Experience with AI/ML workflows, including data preparation, model deployment, and optimization. Proficiency in building and consuming RESTful APIs for connecting AI models with web applications. Knowledge of MLOps tools and practices, including model lifecycle management, CI/CD for AI, and model monitoring.

Familiarity with cloud platforms like AWS, Azure, or Google Cloud, including containerization (Docker) and orchestration (Kubernetes). 

Experience with CI/CD pipelines, version control (Git), and automation frameworks. Strong understanding of algorithms, AI/ML fundamentals, and data preprocessing techniques. 

Soft Skills: 

Passion for exploring, experimenting and implementing emerging AI technologies. Self-starter who can independently and collaboratively in a fast-paced environment. Excellent problem-solving and analytical abilities to tackle complex challenges. 

Effective communication skills to explain AI concepts and strategies to stakeholders. 

3+ years of experience in cybersecurity, with a focus on application and cloud security.

· Proficiency in security tools such as Burp Suite, Metasploit, Nessus, OWASP ZAP, and SonarQube.

· Familiarity with data privacy regulations (GDPR, CCPA) and best practices.

· Basic knowledge of AI/ML security frameworks and tools.

Roles & Responsibilities :-

1. Create and optimize digital campaigns on Google Ads & Facebook

2. Prepare and setup Campaign proposals on Google Ads & Facebook platform (such as Search, Display & Remarketing)

3. Measures and reports performance of all digital marketing campaigns and assesses against goals (ROI and KPIs)

4. Positive & Negative Keywords Research & Analysis Quality Score PPC Bid Management, A/B testing of ads & landing pages

5. New Strategies & Recommendations (such as Ad Extensions, Custom audience, dynamic campaigns & dynamic re-marketing etc)

6. Brainstorms new and creative growth strategies through digital marketing

7. Measure and report performance of all marketing campaigns, and assess against goals

8. Identifying new business leads and contributing to the expansion of business activities

9. Preparing campaign budgets and work schedules, as well as setting project deadlines

10. Developing link building strategies.

11. Analyzing keywords and SEO techniques used by competitors.

12. Should play a major role in enhancing brand awareness within the digital space as well as driving website traffic and acquiring leads/customers

Skills Required :-

1.At least 2 years of exp in the advertising industry.

2. leading and managing SEO/SEM

3. Experience in optimizing landing pages and user funnels

4. Experience with A/B and multivariate experiments & In-depth knowledge of Google Ads and Facebook Paid Ads

5. Solid knowledge of website and marketing analytics tools (e.g., Google Analytics, SEMRush, etc.)

6. Experience in setting up and optimizing PPC campaigns on all major search engines

7. Knowledge about LinkedIn Marketing

8. Proficiency in campaign management software, such as HubSpot Marketing

9. Extensive experience in client relationship management

Position: Automation Test Engineer

Location: TJC India, Pune

Job description:

This position involves Software Quality Assurance activities in all phases of the software development life cycle. We are looking for experienced Automation Quality Assurance engineer for SAP cloud-based application, who can carry on End-to-End testing of a newly developed Product and has Strong experience in designing test plans, test cases and test scenarios. Develop and generate scripts for Automating Test cases. Testing Methodologies Involved in manual testing includes functional testing, integration testing, User interface testing and Regression testing. Good understanding of software quality processes and practices is a must.

Required Candidate profile:

• 4-7 years of application Automation & Manual Testing experience.
• Responsible for testing of web based/SAP UI5 and other applications.
• Create detailed Test Plans, Test scenarios and Test cases.
• Experience in API and End-to-End Functional Test Automation. 
• Experience in writing Automation Tests using object-oriented programming in C#.
• Ensure proper version control and configuration management of all test objects developed and test environments use
• Develop and generate scripts to perform automated testing using selenium, Cucumber, Spec Flow etc.
• Execute and analyze automation test results.
• Raise bugs, reproduce failed scenarios, help in resolving bugs
• Familiarity with HTML, XML, Java Script, JSON, Ajax, jQuery
• Familiarity with Version Control GIT, TFS, SVN, at least one.
• Excellent communication skills (written and spoken)
• Highly self-motivated, with ability to work both independently and in a team.
• Interact with team members to develop a strong understanding of the project and testing objectives.
• Strong attention to detail with good understanding of QA concepts and methodologies.

Good to have: -

• JMeter, LoadRunner performance testing experience.
• Knowledge of QUnit, SAP/UI5, SAP UI Verify testing frameworks.
• Familiarity with Azure DevOps, Test Case management.
• Experience with Agile Scrum development methodologies would be a plus.

Required Skills: -

UI Testing, Regression Testing, Interface Testing Integration, Testing test Scenarios, Application Testing, Manual Testing, Functional Testing, quality analyst. Automation Testing, Selenium, Cucumber, C#, Spec Flow

Responsibilities:

• Writing reusable, testable, and efficient code

• Design and implementation of low-latency, high-availability, and performant applications

• Integration of user-facing elements developed by front-end developers with server side logic

• Implementation of security and data protection

• Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)

• Expert in Python, with knowledge of at least one Python web framework (such as Django, Flask, etc depending on your technology stack)

• Familiarity with some ORM (Object Relational Mapper) libraries

• Able to integrate multiple data sources and databases into one system

• Understanding of the threading limitations of Python, and multi-process architecture

• Good understanding of server-side templating languages (such as Jinja 2, Mako, etc depending on your technology stack)

• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

• Understanding of accessibility and security compliance (depending on the specific project)

• Knowledge of user authentication and authorization between multiple systems, servers, and environments

• Understanding of fundamental design principles behind a scalable application

• Familiarity with event-driven programming in Python

• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform

• Able to create database schemas that represent and support business processes

• Strong unit test and debugging skills

• Basic knowledge of machine learning algorithm and libraries like keras, tensorflow, sklearn.