Team Lead - Product Design (B2B SaaS), Med

Job Description – Quality Assurance (QA) Engineer (Fresher)

Job Summary

We are looking for a passionate and detail-oriented QA Engineer (Fresher) to join our Quality Assurance team. The ideal candidate should possess a strong foundation in software testing principles, excellent analytical and communication skills, and a willingness to learn new technologies and tools. The candidate will work closely with Product Managers, Developers, and other stakeholders to ensure the delivery of high-quality software across web and mobile applications.

Key Responsibilities

• Understand business requirements and functional specifications.
• Prepare, review, and execute test cases and test scenarios.
• Perform Manual Testing, including Functional, Regression, Smoke, Sanity, and Exploratory Testing.
• Identify, document, and track defects throughout the Bug Life Cycle.
• Verify bug fixes and perform regression testing before release.
• Perform API testing using tools such as Postman.
• Collaborate with Developers, Product Managers, Business Analysts, and other stakeholders to clarify requirements and resolve issues.
• Participate in Agile ceremonies, including Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives.
• Prepare test reports and maintain QA documentation.
• Perform production validation and release verification.
• Continuously learn and adopt new testing tools, technologies, and best practices.

Required Skills & Qualifications

The ideal candidate should have:

• A good understanding of Software Testing concepts, SDLC (Software Development Life Cycle), and STLC (Software Testing Life Cycle).
• Knowledge of Manual Testing methodologies and best practices.
• Understanding of test case design, test scenarios, Bug Life Cycle, and defect reporting.
• Good knowledge of API Testing using tools like Postman.
• Basic understanding of SQL and the ability to write simple queries for database validation.
• Good knowledge of Automation Testing concepts and exposure to tools such as Selenium, Playwright, or similar frameworks.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Good documentation skills.
• Ability to communicate effectively with cross-functional stakeholders.
• Ability to work under pressure and manage multiple tasks or projects simultaneously.
• Eagerness to learn new tools, technologies, and testing methodologies.

Educational Qualification

• Bachelor's Degree in Computer Science, Information Technology, Information Science, Electronics, or a related field.
• Recent graduates or candidates with up to one year of experience are encouraged to apply.

• Preferred Skills (Good to Have)Familiarity with Jira, Azure DevOps, or similar defect management tools.
• Basic knowledge of Android and iOS application testing.
• Understanding of Agile/Scrum methodology.
• Exposure to automation frameworks such as Selenium, Playwright, or similar tools.
• Basic knowledge of Git or version control systems.

If you are interested pls WhatsApp us on this number nine three one six one two zero one three two

Role Overview:

As an AI Executor/AI Automation Engineer, you will be responsible for designing and integrating AI capabilities into production systems using Python and key ML libraries. This role requires a strong backend development foundation and a proven track record of deploying AI use cases using tools like TensorFlow, Keras, or OpenAI APIs. You'll work cross-functionally to deliver scalable AI-driven solutions.

Key Responsibilities:

• Design and develop backend solutions using Python, with a focus on AI-driven features.
• Implement and integrate AI/ML models using tools like OpenAI, Hugging Face, or Lang Chain.
• Use core Python libraries (NumPy, Pandas, TensorFlow, Keras) to process data, train, or implement models.
• Translate business needs into AI use cases and deliver working solutions.
• Collaborate with product, engineering, and data teams to define integration workflows.
• Develop REST APIs and micro services to deploy AI components within applications.
• Maintain and optimize AI systems for scalability, performance, and reliability.
• Keep pace with advancements in the AI/ML landscape and evaluate tools for continuous improvement.

Required Skills & Qualifications:

• 2+ years of professional experience as an AI/ML Engineer, including strong backend development expertise in Python.
• Proficiency in libraries such as NumPy, Pandas, TensorFlow, and Keras
• Practical exposure to AI platforms/APIs (e.g., OpenAI, LangChain, Hugging Face)
• Solid understanding of REST APIs, micro services, and integration practices
• Ability to work independently in a remote setup with strong communication and ownership
• Excellent problem-solving and debugging capabilities
• Experience with the MERN stack will be an added advantage.

• Strong Data Science / Machine Learning Profile
• Mandatory (Experience) – Must have 5+ years in Data Science and Data Engineering, with expertise in data preprocessing, cleaning, transformation, and feature engineering.
• Mandatory (Skills 1) – Strong practical proficiency in Python and its data science ecosystem, including Scikit-learn, Pandas, NumPy, and visualization libraries such as Matplotlib and Seaborn.
• Mandatory (Skills 2) - In-depth knowledge of machine learning algorithms, including classification, clustering, association rule mining, anomaly detection, and experience in implementing and evaluating models.

Preferred

• Preferred (Skills) – Prior experience in mentoring student teams for data science competitions or hackathons is preferred

Position: Account Manager Sales 

Location: Faridabad/Jaipur/Kolkata/Punjab 

Experience required: 1- 3 years 

(B2B Sales) – Field Visit for meetings 

Salary Range: 3 LPA 

Working Days: 5.5 days working (First 2 Saturdays and all Sundays are off) 

Job Type: Full Time Requirement: Bike and Laptop 

Role Description:

We are looking for a Key Sales Manager to join our team at iTech Ecommerce Pvt. Ltd. This is a full time, on-field sales role. The ideal candidate will be responsible for managing and nurturing B2B leads, as well as acquiring new clients to drive business growth. 

Key Responsibilities:       

• Identify, generate, and manage new B2B leads Build and maintain strong client relationships 
• Conduct meetings and presentations with prospective clients 
• Working efficiently on CRM 

Eligibility Criteria:      

• Collaborate with internal teams to ensure client satisfaction and account growth 
• Meet and exceed sales targets 
• Prior experience in the sales process, B2B preferred. 
• Excellent lead generation, communication, and negotiation skills 
• Strong interpersonal and relationship-building abilities 
• Smart worker who can figure out the challenges to convert lead. 
• Self-motivated person 

Note: Only male candidates are preferred for this role as of now, two wheeler and a laptop (in working condition) are mandatory. 

ob Description: 

We are seeking an experienced Azure Data Engineer with expertise in Azure Data Factory, Azure Databricks, and Azure Data Fabric to lead the migration of our existing data pipeline and processing infrastructure. The ideal candidate will have a strong background in Azure cloud data services, big data analytics, and data engineering, with specific experience in Azure Data Fabric. We are looking for someone who has at least 6 months of hands-on experience with Azure Data Fabric or has successfully completed at least one migration to Azure Data Fabric.

Key Responsibilities:

• Assess the current data architecture using Azure Data Factory and Databricks and develop a detailed migration plan to Azure Data Fabric.
• Design and implement end-to-end data pipelines within Azure Data Fabric, including data ingestion, transformation, storage, and analytics.
• Optimize data workflows to leverage Azure Data Fabric's unified platform for data integration, big data processing, and real-time analytics.
• Ensure seamless integration of data from SharePoint and other sources into Azure Data Fabric, maintaining data quality and integrity.
• Collaborate with business analysts and business stakeholders to align data strategies and optimize the data environment for machine learning and AI workloads.
• Implement security best practices, including data governance, access control, and monitoring within Azure Data Fabric.
• Conduct performance tuning and optimization for data storage and processing within Azure Data Fabric to ensure high availability and cost efficiency.

Key Requirements:

• Proven experience (5+ years) in Azure data engineering with a strong focus on Azure Data Factory and Azure Databricks.
• At least 6 months of hands-on experience with Azure Data Fabric or completion of one migration to Azure Data Fabric.
• Hands-on experience in designing, building, and managing data pipelines, data lakes, and data warehouses on Azure.
• Expertise in Spark, SQL, and data transformation techniques within Azure environments.
• Strong understanding of data governance, security, and compliance in cloud environments.
• Experience with migrating data architectures and optimizing workflows on cloud platforms.
• Ability to work collaboratively with cross-functional teams and communicate technical concepts effectively to non-technical stakeholders.
• Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert) are a plus.

Key requirements:

• The person should have at least 6 months of work experience in Data Fabric.  Make sure the experience is not less than 6 months 
• Solid technical skills: data bricks, data fabric and data factory
• Polished, good communication and interpersonal skills
• The Person should have at least 6 years of experience in Databricks, Datafactory. 

Key Responsibilities:

●     Conduct individual counselling sessions with students to evaluate their career aspirations, interests, skills, and strengths.

●     Offer tailored career guidance, resources, and tactics to assist individuals in making well-informed decisions about their professional journeys.

●     Aid students in formulating and executing effective job search plans, encompassing resume construction, cover letter composition, and interview readiness.

●     Administer and interpret career assessments to provide clients with valuable insights into their strengths, personality traits, and suitable career options.

●     Stay current with industry trends, labour market information, and emerging job opportunities to provide informed advice to clients.

●     Visit government schools to deliver career guidance to students and be open to community visits.

●     Develop and conduct workshops, webinars, or seminars on topics related to careers, such as networking, job search strategies, and professional development.

●     Maintain precise and confidential client records, ensuring compliance with applicable privacy regulations.

●     Collaborate with team members and external partners to deliver comprehensive career support services.

●     Possess a solid understanding of the vocational and professional career landscape in Uttar Pradesh.

●     Demonstrate awareness of ground-level career awareness in India.

Qualifications:

●     Bachelor's degree in [relevant fields, e.g., Education, Sociology, Counselling, Psychology, Social Work and Human Resources]  (Master's degree is also preferred).

●     Proficiency in Odia, Hindi and English is a must.

●     Proven experience in career counselling or related roles, with a track record of helping clients achieve their career goals.

●     Strong knowledge of career development theories, job search strategies, and employment trends.

●     Excellent communication and interpersonal skills, with the ability to build rapport and establish trust with clients.

●     Proficiency in using career assessment tools and resources.

●     Familiarity with relevant software and technology, including Microsoft Office Suite and career management platforms.

●     Certification in career counselling or a related field (e.g., National Certified Counselor, Certified Career Development Facilitator) is a plus.

Other details:

·    Work week: Monday to Saturday

·    Work timings: 10 a.m. to 6:30 p.m.

·    Remuneration: INR 15,000/- to INR 25,000/- per month (including a fixed remuneration and a variable bonus at 9:1 ratio along with 10% TDS deduction) + travel allowances as per HR policy.

·    Contract duration: 10 months (with a potential extension of 2 years subject to performance)

·    Legality of employment: Consultant

·    Available joining dates: 1st May 2024 or 15th May 2024

·    Having a laptop is mandatory for this role

Technical Skills Required:

• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, React/Angular )
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design
• Excellent communication and teamwork skills
• Great attention to detail
• Organizational skills
• An analytical mind

• Credit policy formulation, amendment and clarifications to front end team for secured Loans.
• Regular Portfolio monitoring and bringing up the recommendations based on insights for necessary changes.
• Robust knowledge of end-to-end process and LOS is must. Experience in digitization and automation of credit and allied processes.
• To manage the MIS function such that quality of portfolio is ensured.
• Rationalizing and simplifying processes and policies, in line with business requirements.
• Credit Administration of credit processes, create hind sighting strategy supervises the outcomes.  

Competencies -

• Have strong business understanding of the retail lending business in India and understanding of the regulatory landscape
• Strong experience in establishing and managing high-performing teams with a collaborative leadership approach.
• Outstanding communication skills, both verbal and written