Graphic Designer

Position: SEO Executive

Experience: 0 - 1 year

Job Description:

• Proficient in Technical, On-Page and Off-Page SEO.
• Strong understanding of Google Analytics and Google Search Console.
• Experience in social media optimization and paid promotion - Twitter, Facebook, Linkedin, etc.
• Experience in Google Adwords a big plus
• Strong understanding of digital marketing fundamentals and recent Google Panda and Penguin updates
• Plan, execute and measure experiments and conversion tests
• Measuring and reporting on the performance of all digital marketing campaigns
• Good communication (both written and verbal) skills is a MUST

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.

AI/ML Engineer Requirements:

• Bachelor's degree in computer science, data science, mathematics, or a related field with at least 3+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.

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.

How You'll Contribute:

● Redefine Fintech architecture standards by building easy-to-use, highly scalable,robust, and flexible APIs

● In-depth analysis of the systems/architectures and predict potential future breakdown and proactively bring solution

● Partner with internal stakeholders, to identify potential features implementation on that could cater to our growing business needs

● Drive the team towards writing high-quality codes, tackle abstracts/flaws in system design to attain revved-up API performance, high code reusability and readability.

● Think through the complex Fintech infrastructure and propose an easy-to-deploy modular infrastructure that could adapt and adjust to the specific requirements of the growing client base

● Design and create for scale, optimized memory usage and high throughput performance.​

Skills Required:

● 5+ years of experience in the development of complex distributed systems

● Prior experience in building sustainable, reliable and secure microservice-based scalable architecture using Python Programming Language

● In-depth understanding of Python associated libraries and frameworks

● Strong involvement in managing and maintaining produc Ɵ on-level code with high volume API hits and low-latency APIs

● Strong knowledge of Data Structure, Algorithms, Design Patterns, Multi threading concepts, etc

● Ability to design and implement technical road maps for the system and components

● Bring in new software development practices, design/architecture innovations to make our Tech stack more robust

● Hands-on experience in cloud technologies like AWS/GCP/Azure as well as relational databases like MySQL/PostgreSQL or any NoSQL database like DynamoDB

• 5+ years of experience in software development.
• At least 2 years of relevant work experience on large scale Data applications
• Good attitude, strong problem-solving abilities, analytical skills, ability to take ownership as appropriate
• Should be able to do coding, debugging, performance tuning, and deploying the apps to Prod.
• Should have good working experience Hadoop ecosystem (HDFS, Hive, Yarn, File formats like Avro/Parquet)
• Kafka
• J2EE Frameworks (Spring/Hibernate/REST)
• Spark Streaming or any other streaming technology.
• Java programming language is mandatory.
• Good to have experience with Java
• Ability to work on the sprint stories to completion along with Unit test case coverage.
• Experience working in Agile Methodology
• Excellent communication and coordination skills
• Knowledgeable (and preferred hands-on) - UNIX environments, different continuous integration tools.
• Must be able to integrate quickly into the team and work independently towards team goals

• Take the complete responsibility of the sprint stories’ execution
• Be accountable for the delivery of the tasks in the defined timelines with good quality
• Follow the processes for project execution and delivery.
• Follow agile methodology
• Work with the team lead closely and contribute to the smooth delivery of the project.
• Understand/define the architecture and discuss the pros-cons of the same with the team
• Involve in the brainstorming sessions and suggest improvements in the architecture/design.
• Work with other team leads to get the architecture/design reviewed.
• Work with the clients and counterparts (in US) of the project.
• Keep all the stakeholders updated about the project/task status/risks/issues if there are any.

• To bid on portals like Upwork, Guru, PPH, etc. Sending Proposal bid to grab new business opportunities Coordinate development of detailed technical proposals with the technical team.
• Client Handling (Managing Existing clients and acquiring new clients) interaction clients to analyze the project requirements.
• Bidding and New business generation on Bidding Platforms