Sales development Executive / IT Sales

Job Location - Andheri- Onsite

Role Overview

The Manager – Talent Acquisition will play a strategic and hands-on role in building a strong talent pipeline aligned with business goals. The role involves close collaboration with business leaders to proactively identify hiring needs, attract and recruit high-quality talent within defined cost and timelines, and continuously improve hiring outcomes through data-driven decision-making and superior candidate experience.

This position is responsible for driving recruitment excellence, optimizing sourcing channels (internal and external), and strengthening employer branding while ensuring compliance, consistency, and efficiency across the hiring lifecycle.

Principal Purpose

Partner closely with department heads and stakeholders to proactively identify current and future talent requirements.

Attract, engage, and hire the right talent at the right cost, quality, and time.

Explore, optimize, and manage multiple sourcing channels to build a sustainable talent pipeline.

Drive recruitment excellence through experience design, process optimization, and data-backed insights.

Key Responsibilities & Accountabilities

Strategic Workforce Planning

Identify talent needs and translate them into a comprehensive recruitment plan aligned with business priorities.

Ensure hiring plans are delivered within agreed timelines, budgets, and quality benchmarks.

Develop a deep understanding of role requirements, including technical skills, experience, and behavioral competencies required for success.

Stakeholder Partnership

Conduct detailed vacancy intake discussions with hiring managers to align on expectations, hiring strategy, and timelines.

Act as a trusted advisor to business stakeholders by sharing market insights, talent availability, and hiring trends.

Continuously evolve recruitment strategies based on changing business needs and market dynamics.

End-to-End Recruitment Management

Create and manage hiring plans with clear deliverables, milestones, and formal tracking mechanisms.

Coordinate, schedule, and conduct interviews in line with role specifications and organizational standards.

Screen, interview, and assess candidates to build strong shortlists within consistent timelines.

Conduct in-depth candidate interviews and anticipate hiring manager preferences to ensure strong role fit.

Talent Pipeline & Sourcing

Build and maintain a strong network of potential candidates through proactive sourcing, research, and relationship management.

Leverage internal talent pools, referrals, job portals, social media, agencies, and other sourcing channels effectively.

Ensure a continuous pipeline of ready-to-hire talent for critical and future roles.

Process Excellence & Data-Driven Decisions

Track and analyze recruitment metrics such as time-to-hire, cost-per-hire, quality-of-hire, and candidate experience.

Use data insights to improve hiring efficiency, decision-making, and overall recruitment outcomes.

Drive continuous improvement in recruitment processes, tools, and systems.

Team Leadership

Lead, mentor, and guide Talent Acquisition Specialists to ensure high performance and capability development.

Set clear goals, review performance, and foster a collaborative and high-accountability culture within the team.

Job Title: Java Backend Developer 

Location: Bangalore  

Experience: 3–6 years 

Mode: Full-time 

✨ Job Summary 

We are looking for a skilled Java Backend Developer to join our engineering team. You will be responsible for building the backend services and APIs that power our web and mobile applications. 

✅ Responsibilities: 

• Design and develop RESTful APIs using Java and Spring Boot 
• Write reusable, testable, and efficient backend code 
• Integrate databases, caching layers, and data storage solutions 
• Implement security and data protection best practices 
• Monitor and optimize application performance 
• Work with DevOps tools to manage builds and deployments 
• Participate in code reviews and agile ceremonies 

🧠 Required Skills: 

• Strong programming experience in Java 8+ 
• Proficient in Spring Boot, Hibernate, JPA 
• Hands-on with REST APIs, JSON, Postman 
• Solid understanding of SQL and relational databases (MySQL/PostgreSQL) 
• Experience with Maven/Gradle, Git, Jenkins 
• Familiarity with Docker, Kubernetes, or AWS is a plus 
• Understanding of OOP, design patterns, and microservice architecture 

🎓 Qualifications: 

• Bachelor's degree in Computer Science, Engineering, or a related field 
• 3+ years of backend development experience 

💼 Good to Have: 

• Knowledge of NoSQL (MongoDB, Redis) 
• Experience with CI/CD pipelines 
• Familiarity with testing tools like JUnit or Mockito 

NEW REQUIREMENT

Role :Kotlin

Experience : 6+ Years

Location: Remote

Duration- 6 months

Budget-70k

Skills required

Kotlin server-side if possible (not Android app developers!)

Java would also be acceptable if the candidate is willing to pick up Kotlin

REST API development

Enterprise application development

Test-Driven Development (if available)

Good understanding of writing unit tests and other code testing strategies

Product and Platform development experience (preferred)

Senior with 6-8+ years industry experience

Job Brief

• We are looking for a detail-oriented SEO Analyst to manage and optimize all search engine optimization initiatives. The role focuses on improving organic search visibility, driving qualified traffic, and enhancing website performance across major search engines.
• You will be responsible for executing SEO strategies including keyword research, content optimization, technical SEO, link building, and performance analysis. The ideal candidate will work closely with content, development, and marketing teams to ensure SEO best practices are consistently implemented.

Responsibilities : 

• Execute and optimize SEO strategies to improve organic rankings and search visibility
• Conduct SEO audits and analyze website performance to identify issues and opportunities
• Collect, track, and analyze organic search data, traffic trends, and keyword performance
• Optimize website content, metadata, internal linking, and landing pages for search engines
• Perform ongoing keyword research, discovery, expansion, and optimization
• Research and implement SEO recommendations based on search engine guidelines and algorithm updates
• Analyze competitor SEO strategies, content performance, and backlink profiles
• Develop and execute effective link-building and outreach strategies
• Collaborate with development teams to ensure SEO best practices are implemented in newly developed or updated code
• Work with content and editorial teams to drive SEO-focused content creation and optimization
• Recommend improvements to website architecture, URL structure, internal linking, and on-page elements
• Manage and optimize Google My Business (GMB) profiles, including local SEO optimization and regular posting
• Monitor and improve local search visibility and map listings
• Implement Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) strategies to enhance visibility in AI-powered and conversational search results
• Requirements & Skills
• Proven experience in SEO or as an SEO Analyst
• Strong understanding of organic search principles and search engine algorithms
• Hands-on experience with SEO tools such as Google Search Console, Google Analytics, and keyword research tools
• Experience conducting technical SEO audits and on-page optimizations
• Working knowledge of HTML, CSS, and JavaScript and their impact on SEO
• Familiarity with backlink analysis and link-building best practices
• Understanding of content optimization and SEO-driven content strategy
• Knowledge of local SEO, including Google My Business optimization
• Awareness of Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO)
• Ability to analyze data, identify trends, and provide actionable insights
• Up-to-date knowledge of SEO trends, algorithm updates, and best practices
• Bachelor’s or Master’s degree in a quantitative, analytical, or test-driven field (preferred)

Reviewing the company debtor list.

Contacting customers and informing them of their overdue bills.

Advising customers on their payment options and suggesting methods of payments.

Negotiating suitable payment plans.

Maintaining customer payment records.

Preparing customer financial statements for banks and the state credit department.

Writing final notice warnings to customers when payments are not being made.

Instituting legal action when customers fail to pay their debt.

Responding to customer queries.

Contacting lawyers and insurance agencies to facilitate payments.

Collections Officer Requirements:

Bachelor’s degree in accounting, business management, or a similar field.

Previous experience working as a Collections Officer.

Excellent negotiating skills.

Good written and verbal communication skills.

Familiarity with state debt collection laws.

Knowledge of payment plans and accounting procedures.

Knowledge of office and accounting software.

Patience and resilience.

Required Skills.

Languages English with Hindi or English with 2 South Indian Languages

PUC (with 6 months or 1 Years experience letter is Mandatory)

Graduate with Fresher can Be consider 

Age criteria 20 to 29 Years

Location- KR PURAM, Bangalore

Job Overview

                         We are looking for a ML Architect to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s and creating/running simulations.  They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Automating to identify the textual data with their properties and structure form various type of document.

Responsibilities

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Creating automated anomaly detection systems and constant tracking of its performance
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Secure and manage when needed GPU cluster resources for events
• Write comprehensive internal feedback reports and find opportunities for improvements
• Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model.

Skills and Qualifications

• Strong Hands-on experience in Python Programming
• Working experience with Computer Vision models - Object Detection Model, Image Classification
• Good experience in feature extraction, feature selection techniques and transfer learning
• Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
• Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
• Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques.
• Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe
• Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms.
• Exposure to OpenCV Familiarity with GPUs + CUDA
• Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
• We are looking for a candidate with 14+ years of experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
• Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.