
- Building automated test suites for continuous integration and delivery including acceptance, performance, regression and new feature testing of UI/UX components, Web services and various applications and systems.
- Developing and executing a complete test strategy for products and features including verification of functionality, performance, security and scalability.
- Ensuring the quality of the product and providing evidence of release readiness.
- Analyzing and decomposing a software system and design a complete system test strategy.
- Continuously streamlining and improving the testing life cycle to ensure test planning, execution, and reporting are effective, agile, and coordinated.
- Analyzing testing results to enhance test plans and scenarios. (Including metrics and benchmarks to gauge improvement)
- Ensuring Pro-active investigation / verification of production defects and continuous improvement of regression tests.
What you need to have:
- A minimum of 1 year with advanced Automation Testing.
- Strong testing background and knowledge of building automated systems & testing both front-end UI, backend microservices and preferably knowledge of both SQL and NoSQL databases.
- Deep familiarity and extensive experience with QA tools and frameworks for automation (e.g. Protractor, Mocha, Chai, Istanbul) and for Load and Performance testing (e.g. JMeter).
- Should have a keen eye to details for anticipating corner cases, bugs and continuously improve automation coverage without any expectation of guidance/ supervision.
- Experience in working with Micro Service architecture.
- Experience in working with asynchronous processes.
- Security (penetration testing) experience is a big plus but not a must have.

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Key Responsibilities:
- Develop and deploy machine learning, deep learning, and NLP models for various business use cases.
- Build end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and production deployment.
- Optimize model performance and ensure scalability in production environments.
- Work closely with data scientists, product teams, and engineers to translate business requirements into AI solutions.
- Conduct data analysis to identify trends and insights.
- Implement MLOps practices for versioning, monitoring, and automating ML workflows.
- Research and evaluate new AI/ML techniques, tools, and frameworks.
- Document system architecture, model design, and development processes.
Required Skills:
- Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).
- Hands-on experience in building and deploying, finetuning ML/DL models in production.
- Good understanding of machine learning algorithms, neural networks, NLP, and computer vision.
- Experience with REST APIs, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
- Working knowledge of MLOps tools such as MLflow, Airflow, DVC, or Kubeflow.
- Familiarity with data pipelines and big data technologies (Spark, Hadoop) is a plus.
- Strong analytical skills and ability to work with large datasets.
- Excellent communication and problem-solving abilities.
- Experience in deploying models using cloud services (AWS Sagemaker, GCP Vertex AI, etc.).
- Experience in LLM fine-tuning or Generative AI, Voice AI, is an added advantage.
Educational Qualification:
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, IT, from IIT/NIT colleges strongly preferred
Job Title: Fintech Sales Associates/ Business development Managers
Location- Delhi (On site) Chennai/ Bangalore/ Mumbai
About Us:
Timble is leading Authentication Company, delivering cutting edge technology and alternate data analysis for Identity management, Onboarding & Verification and Business Intelligence. We provide solutions across three verticals
1. BFSI Solutions
2. KYC and background check Solutions
3. AI Solutions
Key Responsibilities
•Identify and source relevant alliances and sell services that could bring strategic and monetary value to the Company
•Scope of Partnership could include product Integration, Co-Sell, Resell opportunities.
•Generate sales leads, cold calling, Prospecting, Pitching, product demonstration, Negotiating and Contract Closure in his/her assigned region / industry
•Plan approaches, pitches and own all business metrics and growth for the Partnerships line of business
•Work with internal teams of the organization to ensure that alliance and partnerships are integrated and communicated effectively
Must have work Experience
Ability of customer facing Business-to-Business and Client Acquisition.
Can handled clients from technology & BFSI sector
Understanding of channel operating models and conflict resolution.
Anyone from Bank or Fintech Industry background can apply.
Qualification & Functional Skills
•Graduate in any stream
•Good domain understanding for the key industries with sound knowledge of latest business and technological trends
•Ability to develop and conduct effective presentations with decision makers.
•Impact & Influence
•Need for Achievement (nAch)
•Building Relationships & Networking
•Willing to work in a high-pressure & changing sales setup
•Excellent verbal and written communication skills
•Good MS Power-Point and MS-Excel skills
Share your application https://www.linkedin.com/in/preeti-bisht-1633b1263/
For more visit www.timbleglance.com
ServiceNow Configuration
Exp- 9+ Years
Shift time - 2 to 11 PM IST
Perform ServiceNow Configurations to build the ServiceNow scoped custom application for Purchase Request Management Workflows.
The activities would include:
Provide technical advisory for building a scalable and sustainable solution for Client.
Configure Application Data Model - Tables, forms, fields
Configure Application layout - Form and List layouts
Configure Users Data, create groups, assign roles
Setup Access Controls and Security Controls for the Application Scope
Portal/Workspace layout and foundational Setup
Create sub flows for all processes required for PRM flow
Configure end to end approval/review processes, business logics
Integrate Workorder creation sub flow with the main flow
Workflow Design- Publish for all processes
Build Redline Review Data model with ServiceNow Assessments & Surveys
Reports and Dashboards
Configure Integrations to ServiceNow platform
We are looking for a Business Development Executive with strong sales skills in software products, packages, and IT services to join our growing sales team.
Key Responsibilities
- Handle and convert inbound & outbound leads into confirmed sales.
- Identify potential clients, understand their needs, and recommend suitable software/IT packages.
- Maintain a strong sales pipeline and follow up regularly with prospects.
- Negotiate pricing and terms to close profitable deals.
- Work closely with the technical and marketing teams to ensure client satisfaction.
- Maintain accurate CRM records of leads, opportunities, and conversions.
- Meet and exceed monthly and quarterly sales targets.
Key Skills required (Items in Bold are mandatory keywords) :
- In depth, hands-on knowledge of STLC and Automation Testing
- Creating Test Cases and Test Case execution
- Strong experience with Test Planning
- Strong production experience with testing tools - Jira, Zing and other popular tools
- Experience in Core Java, JavaScript
- Industry experience with Java Selenium, Appium and other test automation tools
- Experience with Validation, Functional, Cross Browser and UI Testing
- Strong understanding of payment gateway testing and processes
- Hands on experience in testing Web and Mobile Applications
- Experience with cloud testing tools like BrowserStack and/or pCloudy
- Experience with API testing using Postman
Job Description
- Advising Clients for Commodities and Currency products.
- Calling existing clients for Commodity.
- Passing on research calls and engaging clients to trade
Qualification:
- Min Graduate (Candidate with MBA Degree or candidate with higher study plan should not apply)
- Ready to work in shifts
- Morning Shift- 8.30-5.30pm
- Evening shift -3pm to 12 am
- (Night travelling Allowance will be seperate
- Establish a strong rapport with potential clients via all communication channels, including phone, email, and LinkedIn, to set up meetings for the Demo Engineers and Account Executives. This involves engaging in meaningful conversations, understanding their needs, and building a relationship of trust and credibility.
- Craft and lead outbound campaigns for potential markets, utilizing various channels such as email, social media, and other relevant platforms. These campaigns should focus on educating prospects about Clickpost's value proposition, highlighting the benefits and unique features of the product or service.
- In order to excel in this role, having a minimum of 2+ years of experience in sales roles would be beneficial. If this experience is specifically in the SaaS, logistics, or eCommerce industry, it would be considered a bonus. This background would provide valuable insights into the target market and an understanding of the challenges and opportunities within these industries.
Hi,
PBF details for Project Coordinator profile:
Experience: 1+
Education: BTech/BE/BCA and above, PMP Certification good to have
Responsibility:
- To manage Mobile/Web Application Projects, Ecommerce and CMS Based Website Projects.
- Testing of these applications
- Ensure the projectstays under scope and under prescribed timeline
- Communicate with clients and ensure the gap between client and technical team is taken care of.
Must have:
- Good oral and written communication and pleasing personality.
- Understanding of technical requirements of mobile/web apps and websites.
Job Description
We are looking for a highly capable machine learning engineer to optimize our deep learning systems. You will be evaluating existing deep learning (DL) processes, do hyperparameter tuning, performing statistical analysis (logging and evaluating model’s performance) to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
You will be working with technologies like AWS Sagemaker, TensorFlow JS, TensorFlow/ Keras/TensorBoard to create Deep Learning backends that powers our application.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in Deep Learning role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. To do this job successfully, you need exceptional skills in DL and programming.
Responsibilities
-
Consulting with managers to determine and refine machine learning objectives.
-
Designing deep learning systems and self-running artificial intelligence (AI) software to
automate predictive models.
-
Transforming data science prototypes and applying appropriate ML algorithms and
tools.
-
Carry out data engineering subtasks such as defining data requirements, collecting,
labeling, inspecting, cleaning, augmenting, and moving data.
-
Carry out modeling subtasks such as training deep learning models, defining
evaluation metrics, searching hyperparameters, and reading research papers.
-
Carry out deployment subtasks such as converting prototyped code into production
code, working in-depth with AWS services to set up cloud environment for training,
improving response times and saving bandwidth.
-
Ensuring that algorithms generate robust and accurate results.
-
Running tests, performing analysis, and interpreting test results.
-
Documenting machine learning processes.
-
Keeping abreast of developments in machine learning.
Requirements
-
Proven experience as a Machine Learning Engineer or similar role.
-
Should have indepth knowledge of AWS Sagemaker and related services (like S3).
-
Extensive knowledge of ML frameworks, libraries, algorithms, data structures, data
modeling, software architecture, and math & statistics.
-
Ability to write robust code in Python & Javascript (TensorFlow JS).
-
Experience with Git and Github.
-
Superb analytical and problem-solving abilities.
-
Excellent troubleshooting skills.
-
Good project management skills.
-
Great communication and collaboration skills.
-
Excellent time management and organizational abilities.
-
Bachelor's degree in computer science, data science, mathematics, or a related field;
Master’s degree is a plus.












