Associate Director - Enterprise Sales (B2B SaaS),

WHO YOU ARE

To be successful in this role, you’ll need to have the following skills:

·         Love for coding: A fanatic about writing beautiful and scalable code.

·         A sense of analytics: Strong analytical and troubleshooting skills. Should be resourceful, innovative and inventive.

·         Dynamic: Should be comfortable in dealing with lots of moving pieces. Have exquisite attention to detail, and are comfortable learning new technologies and systems. 

·         Team player: Knack for influencing without being authoritative. Pitch in wherever the team needs help, from writing blog posts to supporting customers.

·         Accountability: High sense of ownership for your code and relentlessness to deliver projects with high business impact. 

KEY QUALIFICATIONS

·         BE/BTech in Computer Science or related field. 

·         5+ years of professional production and development experience with leading-edge server and database technologies (e.g., Python, Java, Node.js, Scala, Spring Boot, MySQL, and NoSQL databases).

KEY SKILLS

·         Strong computer system analysis and design skills in current methodologies and patterns Experience with professional production cloud (AWS preferred).

·         Experience with RESTful Services and APIs.

ACCENTURE 

UK voice & US Voice(telecom process)

Salary - upto to 51 k in-hand

Accenture is only hiring for CL12(experienced)

Zenia voice

UK &US Process

CL12

HR, versant, ops

Location: Vikhroli

Work from Office

Exp

( HSC or Grad with min 1 - 3+ years of exp into bpo)

Versent should be 58+

5 days working 2 rotational off

excellent communication skills

 CST to KALYAN

CHURCHATE to MIRA ROAD

CST to PANVEL

home pickup home drop

1. Big data developer with 8+ years of professional IT experience with expertise in Hadoop ecosystem components in ingestion, Data modeling, querying, processing, storage, analysis, Data Integration and Implementing enterprise level systems spanning Big Data.
2. A skilled developer with strong problem solving, debugging and analytical capabilities, who actively engages in understanding customer requirements.
3. Expertise in Apache Hadoop ecosystem components like Spark, Hadoop Distributed File Systems(HDFS), HiveMapReduce, Hive, Sqoop, HBase, Zookeeper, YARN, Flume, Pig, Nifi, Scala and Oozie.
4. Hands on experience in creating real - time data streaming solutions using Apache Spark core, Spark SQL & DataFrames, Kafka, Spark streaming and Apache Storm.
5. Excellent knowledge of Hadoop architecture and daemons of Hadoop clusters, which include Name node,Data node, Resource manager, Node Manager and Job history server.
6. Worked on both Cloudera and Horton works in Hadoop Distributions. Experience in managing Hadoop clustersusing Cloudera Manager tool.
7. Well versed in installation, Configuration, Managing of Big Data and underlying infrastructure of Hadoop Cluster.
8. Hands on experience in coding MapReduce/Yarn Programs using Java, Scala and Python for analyzing Big Data.
9. Exposure to Cloudera development environment and management using Cloudera Manager.
10. Extensively worked on Spark using Scala on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL/Oracle .
11. Implemented Spark using PYTHON and utilizing Data frames and Spark SQL API for faster processing of data and handled importing data from different data sources into HDFS using Sqoop and performing transformations using Hive, MapReduce and then loading data into HDFS.
12. Used Spark Data Frames API over Cloudera platform to perform analytics on Hive data.
13. Hands on experience in MLlib from Spark which are used for predictive intelligence, customer segmentation and for smooth maintenance in Spark streaming.
14. Experience in using Flume to load log files into HDFS and Oozie for workflow design and scheduling.
15. Experience in optimizing MapReduce jobs to use HDFS efficiently by using various compression mechanisms.
16. Working on creating data pipeline for different events of ingestion, aggregation, and load consumer response data into Hive external tables in HDFS location to serve as feed for tableau dashboards.
17. Hands on experience in using Sqoop to import data into HDFS from RDBMS and vice-versa.
18. In-depth Understanding of Oozie to schedule all Hive/Sqoop/HBase jobs.
19. Hands on expertise in real time analytics with Apache Spark.
20. Experience in converting Hive/SQL queries into RDD transformations using Apache Spark, Scala and Python.
21. Extensive experience in working with different ETL tool environments like SSIS, Informatica and reporting tool environments like SQL Server Reporting Services (SSRS).
22. Experience in Microsoft cloud and setting cluster in Amazon EC2 & S3 including the automation of setting & extending the clusters in AWS Amazon cloud.
23. Extensively worked on Spark using Python on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL.
24. Strong experience and knowledge of real time data analytics using Spark Streaming, Kafka and Flume.
25. Knowledge in installation, configuration, supporting and managing Hadoop Clusters using Apache, Cloudera (CDH3, CDH4) distributions and on Amazon web services (AWS).
26. Experienced in writing Ad Hoc queries using Cloudera Impala, also used Impala analytical functions.
27. Experience in creating Data frames using PySpark and performing operation on the Data frames using Python.
28. In depth understanding/knowledge of Hadoop Architecture and various components such as HDFS and MapReduce Programming Paradigm, High Availability and YARN architecture.
29. Establishing multiple connections to different Redshift clusters (Bank Prod, Card Prod, SBBDA Cluster) and provide the access for pulling the information we need for analysis. 
30. Generated various kinds of knowledge reports using Power BI based on Business specification. 
31. Developed interactive Tableau dashboards to provide a clear understanding of industry specific KPIs using quick filters and parameters to handle them more efficiently.
32. Well Experience in projects using JIRA, Testing, Maven and Jenkins build tools.
33. Experienced in designing, built, and deploying and utilizing almost all the AWS stack (Including EC2, S3,), focusing on high-availability, fault tolerance, and auto-scaling.
34. Good experience with use-case development, with Software methodologies like Agile and Waterfall.
35. Working knowledge of Amazon's Elastic Cloud Compute( EC2 ) infrastructure for computational tasks and Simple Storage Service ( S3 ) as Storage mechanism.
36. Good working experience in importing data using Sqoop, SFTP from various sources like RDMS, Teradata, Mainframes, Oracle, Netezza to HDFS and performed transformations on it using Hive, Pig and Spark .
37. Extensive experience in Text Analytics, developing different Statistical Machine Learning solutions to various business problems and generating data visualizations using Python and R.
38. Proficient in NoSQL databases including HBase, Cassandra, MongoDB and its integration with Hadoop cluster.
39. Hands on experience in Hadoop Big data technology working on MapReduce, Pig, Hive as Analysis tool, Sqoop and Flume data import/export tools.

Location: HSR Layout, Bangalore

About Contlo:

Contlo is an AI native marketing platform that enables modern fast-growing businesses to leverage their brand's own generative AI Model to run & optimize end-to-end marketing. Help them drive customer retention via personalized campaigns and automated customer journeys using contextual Generative AI marketing capabilities across customer touchpoints.

Contlo is the global leader in AGI(Artificial general intelligence) tech by operating at both application layer and also in the AI infra layer(SuperAGI). We have leading ai researchers and engineers working to build new foundational model & other autonomous agentic capabilities

Immediate / Early Joining Required

Position Overview:

As a Market Research Specialist, you will play a key role in supporting our market research efforts by gathering, analyzing, and interpreting data to provide actionable insights for decision-making. You will collaborate closely with cross-functional teams to conduct comprehensive research on industry trends, competitor strategies, and market opportunities.

Responsibilities:

• Conduct thorough market research using various tools and methodologies, including online databases.
• Gather and analyze data to identify key market trends, customer preferences, and competitive landscapes.
• Utilize statistical analysis software and data visualization tools to interpret data and present findings in a clear and actionable format.
• Collaborate with internal teams to define research objectives, develop research methodologies, and execute research projects.
• Assist in the preparation of reports, presentations, and other materials to communicate research findings to stakeholders.
• Stay informed about industry developments, emerging technologies, and best practices in market research to continuously improve research processes and methodologies.
• Support sales and business development teams with market intelligence, competitive analysis, and lead generation activities.
• Maintain accurate and organized records of research findings, data sources, and methodologies used.

Qualifications:

• Bachelor's degree in Business, Marketing, Economics, Statistics, or a related field.
• 2+ year of experience in market research, business analysis, or a related field.
• Proficiency in using market research tools and databases.
• Strong analytical skills with the ability to interpret complex data and generate actionable insights.
• Excellent written and verbal communication skills, with the ability to present findings to diverse audiences.
• Detail-oriented with strong organizational skills and the ability to manage multiple projects simultaneously.
• Ability to work independently and collaboratively in a fast-paced environment.

About Us

Welthungerhilfe (WHH) is an international aid agency headquartered in Germany with its vision for “Zero Hunger by 2030”, the second sustainable development goal set by the UN. It has thousands of programs fighting hunger in more than 30 countries. (https://www.welthungerhilfe.org/">https://www.welthungerhilfe.org)  (https://www.childgrowthmonitor.org/">https://www.childgrowthmonitor.org).

Child Growth Monitor (CGM) is Welthungerhilfe’s digital innovation project leveraging AI to fight child malnutrition. Around 200 million children around the world are suffering from malnutrition. Malnutrition contributes to one-third of deaths of children under the age of five. In the fight against malnutrition, detection is the first important step, but this is not an easy task: Measuring children with traditional methods is still a complex, slow, and expensive task, frequently resulting in poor data and wrong assessments of the child’s health. Early detection of malnutrition becomes the key to initiating treatment, minimizing the risk of complications,

and saving lives by reducing the chances of death to a great extent.

Our solution to measure children replaces hardware (bulky measuring boards and physical scales) with off-the-shelf cell phones and AI. CGM uses augmented reality-enabled smartphones to record 3D scans of children. Artificial Intelligence is used to predict their height, weight, and middle upper-arm circumference needed to know the nutritional status of the children.

What you would do to help us save millions of children's lives

We are looking for you as an experienced Sr Software Engineer who works collaboratively with the dedicated team of tech specialists (AI, ML & Data Scientists) distributed globally have a shared responsibility for ensuring high quality and

Scalable health care product in an agile approach.

This posting concerns a full-time assignment working for Welthungerhilfe’s CGM in a freelance capacity but Full-time employment (payroll) is scheduled for the end of 2022 latest. We are in the process of setting up CGM as a registered social business from mostly January 2023 and moving all the consultants on CGM payrolls.

Responsibilities

• Designing, developing features, refinement/improving and implementing the CGM product in a secure, well-tested, and performant way.
• De-bugging of the current issues
• Collaborate with Product Management and other stakeholders within Engineering (Frontend, UX, etc.) to maintain a high bar for quality in a fast-paced, iterative environment.
• Advocate for improvements to product quality, security, and performance.
• Solve technical problems of moderate scope and complexity.
• Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale Mobile app environment. Maintain and advocate for these standards through code review.
• Provide mentorship for Junior and Intermediate Engineers on your team to help them grow in their technical responsibilities and remove blockers to their autonomy.

 Requirements and skills

• Comfort working in a highly agile, intensely iterative software development process.
• Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions.
• Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent these problems.
• Extensive experience in core Python (3-7yrs)
• Should have worked on Azure or any Cloud and Azure data factory or any similar data platforms
• Experience using Flask/Flutter framework
• Experience working on mobile applications/Web applications (writing flask framework)
• Knowledge of DevOps Pipeline
• Good experience in SQL database
• Working knowledge in Data engineering (ETL pipelines Result Generation Module)
• Basic understanding of front-end technologies such as Vue JS
• Working knowledge in creating predictive models for AI and ML-based features
• Tech /BE in Computer Science with a total of 7 years of software development/Programming experience.

Desired skills

• Good to have an experience in Kubernetes (opensource system)
• Good to have experience working on healthcare mobile apps (predictive analytics and image diagnostics)
• Experience owning a project from concept to production, including proposal, discussion, and execution.
• Proficient understanding of code versioning tools

Soft/Human Skills

• Positive and solution-oriented mindset.
• Excellent communication & interpersonal skills
• Self-motivated and self-managing, with excellent organizational skills.
• Ability to thrive in a fully remote organization

HR ASSISTANT

Responsibilities 

HR responsibilities include formulating and reviewing policies, working towards PMS and succession planning, identifying training needs, work closely with senior management towards setting up processes in different departments, driving recruitment process in proactive manner.

• Good understanding of full-cycle recruiting and strategic HR administration.
• Basic knowledge of labour legislation and competitive policy formulation.
• Organizational skills – HRIS Management, reporting & analysis, setting of the processes.
• MBA/PG with HR specialization.
• Problem solving capabilities necessary to accomplish the duties and tasks of the position.
• Ability to correctly make decisions involving employee issues/ problems including when to escalate the problem to a more senior consultant Exceptional written and oral communication skills Excellent organizational and planning skills
• Ability to share knowledge and work in a strong team oriented environment. Detail oriented Proficient in Word, Excel, PowerPoint, and e-mail.
• Pursue an Attitude of Learning and Development, Attends seminars and meetings relative to the HR profession, Should have cultivate interpersonal skills, Develop negotiating and public speaking skills.

EXCECUTIVE ASSISTANT

Responsibilities

• Act as the point of contact among executives, employees, clients and other external partners
• Manage information flow in a timely and accurate manner
• Manage executives’ calendars and set up meetings
• Make travel and accommodation arrangements
• Rack daily expenses and prepare weekly, monthly or quarterly reports
• Oversee the performance of other clerical staff
• Act as an office manager by keeping up with office supply inventory
• Format information for internal and external communication – memos, emails, presentations, reports
• Take minutes during meetings
• Screen and direct phone calls and distribute correspondence
• Organize and maintain the office filing system