Product Marketing Manager

Role : Java Developer (2-7 years)

Location : Bangalore

Key responsibilities

• Develop and maintain high-quality, efficient, and scalable backend applications. 
• Participate in all phases of the software development lifecycle (SDLC) 
• Write clean, well-documented, and testable code adhering to best practices. 
• Collaborate with team members to ensure the successful delivery of projects. 
• Debug and troubleshoot complex technical problems. 
• Identify and implement performance optimizations. 
• Participate in code reviews 
• Hands-on experience with Spring boot, Java 8 and above. 
• 2-7 years of experience developing Java applications. 
• Knowledge about at least one messaging system like Kafka, RabbitMQ etc. 
• Required React developer requirements, qualifications & skills: 
• Proficiency in React.js and its core principles 
• Strong JavaScript, HTML5, and CSS3 skills 
• Experience with popular React.js workflows (such as Redux) 
• Strong understanding of object-oriented programming (OOP) principles. 
• Experience with design patterns and best practices for Java development. 
• Proficient in unit testing frameworks (e.g., JUnit). 
• Experience with build automation tools (e.g., Maven, Gradle). 
• Experience with version control systems (e.g., Git). 
• Experience with one of these databases – Postgres, MongoDb, Cassandra 
• Knowledge on Retail or OMS is a plus. 
• Experienced in containerized deployments using Docker, Kubernetes and DevOps mindset 
• Ability to reverse engineer existing/legacy and document findings on confluence. 
• Create automated tests for unit, integration, regression, performance, and functional testing, to meet established expectations and acceptance criteria.

A modern work platform means a single source of truth for your desk and deskless employees alike, where everything they need is organized and easy to find.

MangoApps was designed to unify your employee experience by combining intranet, communication, collaboration, and training into one intuitive, mobile-accessible workspace.

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

AI/ML Engineer Responsibilities

• Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
• Transforming data science prototypes and applying appropriate ML algorithms and tools.
• Ensuring that algorithms generate accurate user recommendations.
• Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Developing ML algorithms to huge volumes of historical data to make predictions.
• Running tests, performing statistical analysis, and interpreting test results.
• Documenting machine learning processes.
• Keeping abreast of developments in machine learning.
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AI/ML Engineer Requirements

• Bachelor's degree in computer science, data science, mathematics, or a related field with at least 5+yrs of experience as an AI/ML Engineer
• Advanced proficiency with Python and FastAPI framework along with good exposure to libraries like scikit-learn, Pandas, NumPy etc..
• Experience in working on ChatGPT, LangChain (Must), Large Language Models (Good to have) & Knowledge Graphs
• Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture.
• In-depth knowledge of mathematics, statistics, and algorithms.
• Superb analytical and problem-solving abilities.
• Great communication and collaboration skills.

Skills: fastapi,python,large language models,large language model,pandas,artificial intelligence,mathematics,machine learning,knowledge graphs,flask,python for data analysis,scikit-learn,langchain,algorithms,data science,chatgpt,numpy,statistics

Why work with us

1. We take delight in what we do, and it shows in the products we offer and ratings of our products by leading industry analysts like IDC, Forrester and Gartner OR independent sites like Capterra.
2. Be part of the team that has a great product-market fit, solving some of the most relevant communication and collaboration challenges faced by big and small organizations across the globe.
3. MangoApps is highly collaborative place and careers at MangoApps come with a lot of growth and learning opportunities. If you’re looking to make an impact, MangoApps is the place for you.
4. We focus on getting things done and know how to have fun while we do them. We have a team that brings creativity, energy, and excellence to every engagement.
5. A workplace that was listed as one of the top 51 Dream Companies to work for by World HRD Congress in 2019.
6. As a group, we are flat and treat everyone the same.

Benefits

We are a young organization and growing fast. Along with the fantastic workplace culture that helps you meet your career aspirations; we provide some comprehensive benefits.

1.     Comprehensive Health Insurance for Family (Including Parents) with no riders attached.

2.     Accident Insurance for each employee.

3.     Sponsored Trainings, Courses and Nano Degrees.

About You

·       Self-motivated: You can work with a minimum of supervision and be capable of strategically prioritizing multiple tasks in a proactive manner.

·       Driven: You are a driven team player, collaborator, and relationship builder whose infectious can-do attitude inspires others and encourages great performance in a fast-moving environment.

·       Entrepreneurial: You thrive in a fast-paced, changing environment and you’re excited by the chance to play a large role.

·       Passionate: You must be passionate about online collaboration and ensuring our clients are successful; we love seeing hunger and ambition.

·       Thrive in a start-up mentality with a “whatever it takes” attitude.

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.

About Us: Codebrahma Tech Solutions is a leading provider of innovative IT solutions, dedicated to delivering cutting-edge technology and exceptional service to our clients. We are seeking a proactive Business Development Executive to join our IT sales team and drive business growth.

Job Summary: The Business Development Executive will be responsible for identifying new business opportunities, building client relationships, and driving sales of our IT solutions and services. This role requires strong sales skills, excellent communication, and a deep understanding of the IT industry.

Key Responsibilities:

- Identify and research potential clients and market segments.

- Develop and implement effective sales strategies to target new clients.

- Generate leads and build a strong pipeline of potential customers.

- Conduct sales presentations and product demonstrations to prospective clients.

- Develop and maintain long-term relationships with clients.

- Negotiate contracts and close sales to meet or exceed targets.

- Collaborate with the marketing and technical teams to align sales strategies with company goals.

- Track and report on sales activities, opportunities, and progress.

- Stay informed about industry trends, competitive landscape, and emerging technologies.

Qualifications:

- Bachelor's degree in Business, Marketing, IT, or a related field.

- 2+ years of experience in business development or sales, preferably in the IT industry.

- Proven track record of achieving sales targets and driving revenue growth.

- Strong knowledge of IT solutions and services.

- Excellent communication, negotiation, and presentation skills.

- Proficiency in using CRM software and sales tools.

- Ability to work independently and as part of a team.

- Strong organizational and time management skills.

Preferred Skills:

- Experience with digital marketing and lead generation techniques.

- Familiarity with data analytics and reporting.

- Knowledge of industry-specific sales strategies.

Why Join Us:

- Opportunity to work with a dynamic and innovative team.

- Competitive salary and benefits package.

- Professional development and growth opportunities.

- Engaging and collaborative work environment.

Codebrahma is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Who are we and what do we do?

Digio is a fast growing,profitable product startup founded in 2016 by ex-Flipkart, Twitter folks, playing a key role in India’s Digital story.

The company is building software platforms and products to power business processes, to go paperless and digital in order to bring down cost overheads, time involved in erstwhile offline business processes, thereby being instrumental in increasing operational efficacy and human productivity along with enabling presence-less digital reach and super rich end user experience.

Digio is the market leader in India for Digital onboarding and has played a key role so far in enabling Digital Transformation in India by empowering a large part of the Indian eco-system specifically Fintech sector of India. Digio has been honored as the world's 100 most innovative Regtech companies by the World Fintech Forum.

You can view their website at http://www.digio.in/">https://www.digio.in or find them on Twitter, Facebook, and LinkedIn.

Roles & Responsibilities:

As a Senior Android Engineer at Digio your responsibilities will be:

• Drive Digio SDKs, Libraries, App development in Java, Kotlin and Flutter.
• Take care of performance and security Android level.
• Keep it crash free, modular, perfectly memory managed for mass level usage.
• Usage of Java based REST APIs and backend level developments.
• Drive Android level development as well around available AI, ML and Vision Android libraries.

Requirements:

• Education: B.Tech. (CS/IT) / B.Sc. (CS) / M.Tech. / MCA.
• Experience suitable to above mentioned requirements around Android. IOS experience is plus.
• Experience in creating Android Apps from scratch.
• Experience with Kotlin, Flutter. Experience with Dagger. 
• Experience in dealing with WebViews - Javascript and Native android communications.
• Good low level and High level software design and architecture skills, experience of working with distributed environments.
• Have good understanding on Android and IOS internals and memory management.
• Fast learning abilities.
• 3-5 years of experience and at least 2 years working with product company.

Resource: Content Manager

Location: Mumbai(On-site)

Qualification: BA/MA(English)/Degree in Mass Communication/Bachelor's degree in Engineering

No. of years of Experience: Min. 2 years experience in Website maintenance and Content Management

Certification / Knowledge :

• Should be proficient in all of the following languages : English, Hindi and Marathi
• Exposure to content management for Government websites preferred.

• Day to day sourcing for the region (Maharashtra and Gujrat)
• Working closely with business development team and operations team to ensure the client expectations are properly met in terms of time and quality of sourcing
• Building and developing the required team to achieve the targets
• Driving efficiencies to maintain sourcing service levels and expanding margins of the region
• Building and implementing processes to increase the overall efficiency and reliability of the region
• Participating in cross-functional projects for high priority initiatives and bringing process and data-driven focused approach to support the organization's goals
• Driving change management to ensure efficient implementations of any new strategic change
• Collaborating closely with stakeholders like Operations, Finance, Product, Sales and New initiatives with the objective to drive stakeholder success
• Ensuring excellent customer and partner experience

Desired Candidate Profile

• Graduates from Tier 1/2 Engineering colleges/Post Graduate from Tier 1/2 Management colleges with good academic performance
• 4-8 years of frontline Operation/sourcing/channel management experience or P&L Management
• Strong leadership qualities to lead a large geographically spread team
• Ability to manage conflicts and good stakeholder management skills
• Multi-tasking capabilities and inter departmental coordination
• Product first mindset and relevant experience is a useful plus
• Experience in channel management in B2C space will be very useful
• A strong team sport background is a plus (showcasing the long term commitment and rigor)