
Outbound Sales Executive
at Our client is in to a patent services company.
- Obtains client information from online databases.
- Determines eligibility by comparing client information to requirements.
- Establishes policies by entering client information; confirming pricing.
- Informs clients by explaining procedures; answering questions; providing information.
- Maintains communication equipment by reporting problems.
- Maintains and improves quality results by adhering to standards and guidelines; recommending improved procedures.
- Updates job knowledge by studying new product descriptions; participating in educational opportunities.
- Accomplishes sales and organization mission by completing related results as needed.
- Skills and Qualifications:
- Verbal Communication, Phone Skills, Listening, Data Entry Skills, People Skills, Informing, Customer Focus, Customer Service, Attention to Detail, Professionalism, Multi-tasking

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Job Title : Senior Software Engineer (Full Stack — AI/ML & Data Applications)
Experience : 5 to 10 Years
Location : Bengaluru, India
Employment Type : Full-Time | Onsite
Role Overview :
We are seeking a Senior Full Stack Software Engineer with strong technical leadership and hands-on expertise in AI/ML, data-centric applications, and scalable full-stack architectures.
In this role, you will design and implement complex applications integrating ML/AI models, lead full-cycle development, and mentor engineering teams.
Mandatory Skills :
Full Stack Development (React/Angular/Vue + Node.js/Python/Java), Data Engineering (Spark/Kafka/ETL), ML/AI Model Integration (TensorFlow/PyTorch/scikit-learn), Cloud & DevOps (AWS/GCP/Azure, Docker, Kubernetes, CI/CD), SQL/NoSQL Databases (PostgreSQL/MongoDB).
Key Responsibilities :
- Architect, design, and develop scalable full-stack applications for data and AI-driven products.
- Build and optimize data ingestion, processing, and pipeline frameworks for large datasets.
- Deploy, integrate, and scale ML/AI models in production environments.
- Drive system design, architecture discussions, and API/interface standards.
- Ensure engineering best practices across code quality, testing, performance, and security.
- Mentor and guide junior developers through reviews and technical decision-making.
- Collaborate cross-functionally with product, design, and data teams to align solutions with business needs.
- Monitor, diagnose, and optimize performance issues across the application stack.
- Maintain comprehensive technical documentation for scalability and knowledge-sharing.
Required Skills & Experience :
- Education : B.E./B.Tech/M.E./M.Tech in Computer Science, Data Science, or equivalent fields.
- Experience : 5+ years in software development with at least 2+ years in a senior or lead role.
- Full Stack Proficiency :
- Front-end : React / Angular / Vue.js
- Back-end : Node.js / Python / Java
- Data Engineering : Experience with data frameworks such as Apache Spark, Kafka, and ETL pipeline development.
- AI/ML Expertise : Practical exposure to TensorFlow, PyTorch, or scikit-learn and deploying ML models at scale.
- Databases : Strong knowledge of SQL & NoSQL systems (PostgreSQL, MongoDB) and warehousing tools (Snowflake, BigQuery).
- Cloud & DevOps : Working knowledge of AWS, GCP, or Azure; containerization & orchestration (Docker, Kubernetes); CI/CD; MLflow/SageMaker is a plus.
- Visualization : Familiarity with modern data visualization tools (D3.js, Tableau, Power BI).
Soft Skills :
- Excellent communication and cross-functional collaboration skills.
- Strong analytical mindset with structured problem-solving ability.
- Self-driven with ownership mentality and adaptability in fast-paced environments.
Preferred Qualifications (Bonus) :
- Experience deploying distributed, large-scale ML or data-driven platforms.
- Understanding of data governance, privacy, and security compliance.
- Exposure to domain-driven data/AI use cases in fintech, healthcare, retail, or e-commerce.
- Experience working in Agile environments (Scrum/Kanban).
- Active open-source contributions or a strong GitHub technical portfolio.
Overview
We seek a detail-oriented, collaborative Technical Enablement Lead to drive the implementation of enterprise systems and associated integrations, specifically with ERP (Enterprise Resource Planning) platforms and WMS (Warehouse Management Systems). This role is ideal for someone who thrives in cross-functional environments and excels at translating operational needs into scalable technical solutions.
Key Responsibilities
Cross-Functional Technical Integration
- Drive alignment across engineering, data, and warehouse operations teams
- Work with the teams to help translate business requirements into actionable integration tasks and system configurations
Issue Resolution & Continuous Improvement
- Identify and mitigate risks early, removing barriers to keep the team on track
- Work with the technical teams who monitor system performance and data flow integrity
- Lead the teams in root cause analysis and implement iterative enhancements to integration reliability
ETL Process Oversight
- Collaborate with partner who leads the design and validation of ETL pipelines for syncing inventory, orders, and shipment data
- Ensure teams maintain data accuracy, schema compatibility, and robust error handling across platforms
Systems Mapping & Architecture
- Partner with brand and vendor IT teams to design and document integration pathways between ERP and WMS systems
- Work with teams to identify data dependencies, transformation logic, and system constraints
- Confirm alignment with operations leads on workflows and priorities
Access Control Oversight
- Partner with teams to define and coordinate role-based access controls across integrated systems
- Collaborate with infrastructure and security teams to maintain compliance and operational integrity
Qualifications:
- 3-5 + years of experience
- Strong understanding of ERP and WMS platforms and their integration patterns
- Experience working with teams that implement integration tools, e.g., ETL, data mapping
- Familiarity with system roles and access controls
- Excellent communication and coordination skills across technical and operational teams
- Ability to document and communicate systems in a clear, structured manner
Nice to Have:
- ERP: NetSuite, or JDE,
- WMS: Blue Yonder, Deposco
- Any Project Methodology certifications: Agile, Waterfall, Etc…
Candidate will work in Sales Department too for generating business of Company by selling Digital Marketing Packages.
Candidate will be working on backend operations on the client's accounts at Amazon, Flipkart and Meesho.
Candidate should have knowledge of Excel Formulas.
Candidate should be an easy learner and needs to be clever enough to understand the backend process easily.
Candidate should be able to write and understand English.
Candidate should be smart enough to grab the training which will be provided here by our Organization.
Candidate should be open to learning whenever the need arises.
Candidate should be soft spoken while speaking to clients.
ENGINEER / SR ENGINEER– JAVA/ JEE TECHNOLOGIES
PUNE
|
POSITION |
JAVA/JEE ENGINEER / SR ENGINEER |
|
EXPERIENCE |
4YRS – 12YRS |
|
LOCATION |
PUNE |
|
NOTICE PERIOD |
15- 30 DAY / IMMEDIATE JOINER WORK FROM OFFICE |
EXPERIENCE – 4+ YEARS (4-12 YEARS) EXPERIENCE IN JAVA/ JEE TECHNOLOGIES.
TECHNOLOGY/SKILLS – JAVA1.9, SPRING BOOT, WEB SERVICES, ORACLE, HTTP PROTOCOL, WEB PROXY, JUNIT, XML, JSON
QUALIFICATION – B.E, BTECH, BSC, BCA, BCS OR EQUIVALENT POST-GRADUATION IN ANY BRANCH PREFERABLY IN E&TC, COMPUTERS
OTHER TOOLS USED – ECLIPSE, JIRA, CONFLUENCE, MAVEN, JENKINS, GIT/ BITBUCKET (SOURCE VERSION CONTROL).
SOFT SKILLS – SELF-MOTIVATED, FOCUSED, GOOD TEAM PLAYER, POSITIVE ATTITUDE, GOOD COMMUNICATION SKILLS – WRITTEN AND VERBAL WITH PRODUCT MANAGEMENT, INTERNAL IT AND STAKEHOLDERS.
NICE TO HAVE – KNOWLEDGE OF CRYPTOLOGY, HSM AND KEY MANAGEMENT / PKI / X509, XML SIG /SML ENC, SMART CARD OPERATING SYSTEM, TELECOMMUNICATION (GSM) AND ELECTRONIC PAYMENT SYSTEM, PROVEN KNOWLEDGE TO WORK IN PROCESSES ACCORDING TO CMMI (LEVEL 3).
DETAILS – GOOD TO HAVE ATTRIBUTES:
- KNOWLEDGE OF SOFTWARE ARCHITECTURE, UNDERSTANDING AND PREPARING SEQUENCE DIAGRAMS, ARCHITECTURE, AND PROCESS DOCUMENTATION.
- EXPERIENCE IN ENTERPRISE APPLICATIONS IN THE PAYMENT / BANKING DOMAIN PREFERRED.
- ANALYSIS, DESIGN AND IMPLEMENTATION OF SMART CARD APPLICATIONS FOR THE PAYMENTS SECTOR (MASTERCARD, VISA.)
- TELECOM/ EMBEDDED SYSTEMS OR SMART CARDS BACKGROUND.
- IDENTIFY AREAS FOR IMPROVEMENT TO ACHIEVE - OPERATIONAL EFFICIENCY, CUSTOMER SATISFACTION, AND VALUE ADDITION.
- PREFERABLY NO TRAVEL CONSTRAINTS.
- HIGH / LOW-LEVEL DESIGNING.

- Review requirements, specifications, and technical design documents, and provide meaningful feedback
- Create detailed, comprehensive, and well-structured test plans and test cases
- Set up test environments
- Perform software testing to see if the software meets all the requirements
- Identify, document, and track issues found using appropriate tools
- Perform regression testing
- Help troubleshoot issues reported by customers
- Stay up to date with the latest testing tools and methodologies
Qualifications
- 1-3 Years work experience in QA
- Hands-on experience QA-ing web applications
- Familiarity with browser DevTools and ADB
- Familiarity with API testing tools like Postman, JMeter, etc
- Experience with Agile frameworks and QA methodologies
- Experience using bug tracking tools like JIRA, Bugzilla, etc
Nice to have
- Experience working with LMSs
- Knowledge of basic SQL queries
- Experience using automated testing tools
- Familiarity with programming languages like Python or Ruby
- Sense of humor
Your mission is to help lead team towards creating solutions that improve the way our business is run. Your knowledge of design, development, coding, testing and application programming will help your team raise their game, meeting your standards, as well as satisfying both business and functional requirements. Your expertise in various technology domains will be counted on to set strategic direction and solve complex and mission critical problems, internally and externally. Your quest to embracing leading-edge technologies and methodologies inspires your team to follow suit.
Responsibilities and Duties :
- As a Data Engineer you will be responsible for the development of data pipelines for numerous applications handling all kinds of data like structured, semi-structured &
unstructured. Having big data knowledge specially in Spark & Hive is highly preferred.
- Work in team and provide proactive technical oversight, advice development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutions
Education level :
- Bachelor's degree in Computer Science or equivalent
Experience :
- Minimum 5+ years relevant experience working on production grade projects experience in hands on, end to end software development
- Expertise in application, data and infrastructure architecture disciplines
- Expert designing data integrations using ETL and other data integration patterns
- Advanced knowledge of architecture, design and business processes
Proficiency in :
- Modern programming languages like Java, Python, Scala
- Big Data technologies Hadoop, Spark, HIVE, Kafka
- Writing decently optimized SQL queries
- Orchestration and deployment tools like Airflow & Jenkins for CI/CD (Optional)
- Responsible for design and development of integration solutions with Hadoop/HDFS, Real-Time Systems, Data Warehouses, and Analytics solutions
- Knowledge of system development lifecycle methodologies, such as waterfall and AGILE.
- An understanding of data architecture and modeling practices and concepts including entity-relationship diagrams, normalization, abstraction, denormalization, dimensional
modeling, and Meta data modeling practices.
- Experience generating physical data models and the associated DDL from logical data models.
- Experience developing data models for operational, transactional, and operational reporting, including the development of or interfacing with data analysis, data mapping,
and data rationalization artifacts.
- Experience enforcing data modeling standards and procedures.
- Knowledge of web technologies, application programming languages, OLTP/OLAP technologies, data strategy disciplines, relational databases, data warehouse development and Big Data solutions.
- Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
Skills :
Must Know :
- Core big-data concepts
- Spark - PySpark/Scala
- Data integration tool like Pentaho, Nifi, SSIS, etc (at least 1)
- Handling of various file formats
- Cloud platform - AWS/Azure/GCP
- Orchestration tool - Airflow
- Manage sales operations in assigned district to achieve revenue goals.
- Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
- Identify skill gaps and conduct trainings to sales team.
- Work with team to implement new sales techniques to obtain profits.
- Assist in employee recruitment, promotion, retention and termination activities.
- Conduct employee performance evaluation and provide feedback for improvements.
- Contact potential customers and identify new business opportunities.
- Stay abreast with customer needs, market trends and competitors.
- Maintain clear and complete sales reports for management review.
- Build strong relationships with customers for business growth.
- Analyze sales performances and recommend improvements.
- Ensure that sales team follows company policies and procedures at all times.
- Develop promotional programs to increase sales and revenue.
- Plan and coordinate sales activities for assigned projects.
Job description:
1. 7-12 Yrs of experience in Vulnerability,
2. Mandatory to have minimum 3 yrs of experience on Rapid 7 and Insight VM/Nexpose ,
3. Linux or Windows platform experience would be an added advantage








