QA Automation

Job Responsibilities

• Help develop an analytics platform that integrates insights from diverse data sources.
• Build, deploy, and test machine learning and classification models
• Train and retrain systems when necessary
• Design experiments, train and track performance of machine learning and AI models that meet specific business requirements
• ML and data labelling: Identify ways to gather and build training data with automated data labelling techniques and the creation of highly accurate training datasets.
• Automatic extraction of causal knowledge from diverse information sources such as databases, news, social media, videos and images etc.
• Develop customized machine learning solutions including data querying and knowledge extraction.
• Develop and implement approaches for extracting patterns and correlations from both internal and external data sources using time series machine learning models.
• Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.
• Distil insights from complex data, communicating findings to technical and non-technical audiences.
• Develop, improve, or expand in-house computational pipelines, algorithms, models, and services used in crop product development.
• Constantly document and communicate results of research on data mining, analysis, and modelling approaches.
• 5+ years of experience working with NLP and ML technologies.
• Proven experience as a Machine Learning Engineer or similar role.
• Experience with NLP/ML frameworks and libraries       
• Proficient with Python scripting language
• Background in machine learning frameworks like TensorFlow, PyTorch, Scikit Learn, etc.
• Demonstrated experience developing and executing machine learning, deep learning, data mining and classification models. Conversant with the latest in NLP and NLU models including transformer architectures and in creating explainable AI
• Ability to communicate the advantages and disadvantages of choosing specific models to various stakeholders
• Proficient with relational databases and SQL. Ability to write efficient queries and optimize the storage and retrieval of data within the database. Experience with creating and working on APIs, Serverless architectures and Containers.
• Creative, innovative, and strategic thinking; willingness to be bold and take risks on new ideas.

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Mandatory Skills: AI : Artificial Intelligence .

Experience: 8-10 Years .

Job Description:

We are looking for a skilled Manual Tester / Test Engineer with 2-4 years of experience to join our dynamic team. The ideal candidate should have a strong understanding of testing methodologies and be able to ensure the quality and performance of our software applications. Exposure to Python full-stack applications will be considered a strong advantage.

Key Responsibilities:

· Design, develop, and execute manual test cases to validate product functionality.

· Collaborate with the development team to identify and resolve bugs and performance issues.

· Analyze test results and communicate them effectively to stakeholders.

· Perform regression, integration, system, and UAT testing.

· Ensure the overall quality of the product by identifying gaps and improvement areas.

· Document test processes, test plans, and test case results.

· Knowledge of Python FullStack Application.

· Work closely with developers, business analysts, and project managers to ensure seamless project delivery.

Qualifications:

· Bachelor's degree in Computer Science, Engineering, or a related field.

· 2-4 years of experience in manual software testing.

· Strong knowledge of software testing life cycle (STLC) and defect life cycle.

· Proficient in writing clear and concise test cases, test plans, and bug reports.

· Experience with bug tracking tools (e.g., JIRA, Bugzilla, etc.).

· Familiarity with Agile/Scrum methodologies.

· Basic knowledge of Python and full-stack applications is an advantage.

· Excellent communication and analytical skills.

· Ability to work both independently and in a team environment.

· Preferred Skills:

· Some exposure to Python full-stack applications (Django, Flask, etc.).

· Understanding of RESTful APIs and backend/frontend testing.

· Familiarity with automation tools like Selenium (bonus but not mandatory).

V Patrol is hiring for the role of Management Trainee!

About the Role:

• The Management Trainee program is a fast-track career development initiative designed to groom future leaders.
• This program equips trainees with a comprehensive understanding of the organization’s operations, strategies, and leadership principles.
• Trainees will undergo structured training and rotational assignments, gaining hands-on experience in various departments.

Responsibilities of the Candidate:

• Training and Development:
• Attend and actively participate in workshops, seminars, and training programs.
• Acquire knowledge of business operations, company policies, and industry trends.
• Departmental Rotations:
• Work across various departments to understand their roles, workflows, and contributions.
• Collaborate with teams on projects to gain practical experience.
• Leadership Exposure:
• Shadow managers and team leaders to observe decision-making and leadership strategies.
• Participate in meetings and contribute to discussions on strategic initiatives.
• Project Management:
• Take ownership of assigned projects and deliver results within set timelines.
• Analyze performance metrics, identify gaps, and propose actionable solutions.
• Performance Analysis:
• Monitor and report on the progress of assigned tasks and projects.
• Provide insights and recommendations to improve efficiency and productivity.
• Problem-Solving and Innovation:
• Identify challenges within workflows and propose innovative solutions.
• Support teams in the implementation of process improvements.
• Progress Monitoring and Evaluation:
• Set personal and professional development goals and track progress.
• Receive regular feedback from mentors and supervisors to enhance performance.

Qualifications and Skills:

• Education:
• Bachelor’s degree in [relevant field, e.g., Business Administration, Management, Finance, etc.].
• MBA or relevant postgraduate qualification is a plus.
• Experience:
• Fresh graduates or professionals with up to 2 years of experience.
• Skills and Competencies:
• Strong leadership potential and decision-making skills.
• Excellent communication and interpersonal abilities.
• Analytical mindset with problem-solving aptitude.
• Adaptability and resilience in a dynamic work environment

About the Company: Among top five global media agencies. we provide access and scale everywhere our clients do business. Intelligent and imaginative, we create, integrate and scale technology-enabled services with premium partners 

 

Job Location :Mumbai

Roles and Responsibilities

• Devising solutions for the client by identifying and configuring the technology, data and processes that improve media targeting, and deepen analytical learning. This can encompass comprehensive audits of a client’s current setup, as well as leading data and tech partner evaluations, and defining measurement frameworks to capture the most valuable signals
• Aid in data partner discovery, vetting, onboarding and cataloguing, providing the relevant teams with a view on the latest solutions in the market, as well as current trends and issues relating to data management
• Support the implementation of client audience data strategy programs, specifically how client data is captured, managed, enhanced (through partnerships), deployed and measured for effectiveness, working closely with adjacent disciplines in Planning, AdOps, Activation and Analytics to ensure audience management best practices flow down and through all client media campaigns
• Maintain strong, effective relationships with key partners and suppliers within the ad/mar-tech data space
• Build strong relationships with key client stakeholders, including communicating with them on subjects outside your remit, and build a reputation for excellence in communication 

Desired background experience:

Required

• Demonstrable knowledge of the ad tech and data landscape, including hands-on experience managing audience data, for your own company or your clients. This includes, a working knowledge of the leading data management platforms (DMPs), customer data platforms (CDPs), knowledge of data onboarding and cross-device matching approaches and an understanding of the tools and technologies that can activate this data (e,g, DSPs, social platforms)
• Familiarity with and experienced in working with cloud-based data solutions (e.g. Google Cloud Platform, Amazon Web services) and tools within (e.g. BigQuery, Ads Data Hub) for data warehousing, insight generation and/or deployment.
• Strong analytical skills and a natural affinity for numbers is key; You must be able to analyze raw data, draw insights and develop actionable recommendations as needed
• Exceptional verbal & written communication skills, able to build and develop strong relationships with, and communicate effectively with people at all levels of seniority; in-agency, client-side, and in the supplier space  
• Strong organizational skills, including experience with resource management, to effectively manage smooth flow of work through agency