Business Development Executive

ML Data Engineer, Railofy

About the Team & Role:

Railofy is solving the largest problems for Indian Railway passengers (90% of Indians travel by trains) - waitlisted tickets and quality of food in trains. We are a young team of technologists who have made a significant breakthrough in this field using Machine Learning, in order to create a major impact in the lives of Indians.

ML Data Engineers at Railofy lead all the processes from data collection, cleaning, and preprocessing, to managing the infra and deploying models to production. The ideal candidate will be passionate about big data and stay up-to-date with the latest developments in the field.

The Data Science team works on proprietary data sets (tabular) building classical machine learning models & recommendation systems.

What will you get to do here?

1. Understanding and building expertise in the domain
2. Managing available resources such as hardware, data, and personnel so that deadlines are met
3. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
4. Verifying data quality, and/or ensuring it via data cleaning
5. Supervising the data acquisition process if more data is needed
6. Defining validation strategies
7. Defining the preprocessing or feature engineering to be done on a given dataset
8. Defining data augmentation pipelines
9. Training models and tuning their hyperparameters
10. Deploying models to production and monitoring production systems

What qualities are we looking for?

1. Proficiency with Python and libraries for machine learning such as scikit-learn, pandas, numPy, matplotlib, seaborn and keras/tensorflow
2. Proficiency with PostgreSQL, ElasticSearch, Kibana, Redis and Big Data technologies
3. Proficiency with Cloud computing on AWS using services like EC2, S3, ECS, Lambda and RDS
4. Expertise in visualizing and manipulating big datasets
5. Ability to select hardware to run an ML model with the required latency at scale
6. Computer Science or IT Engineering background with solid understanding of basics of Data Structures and Algorithms
7. 5-10 years of data science experience
8. You love coding like a hobby, strive to code in a clean and structured manner with time and space complexities in mind and are up for a challenge!
9. Motivation to join an early stage startup should go beyond compensation

Location: Mumbai/Remote

KEY RESPONSIBILITIES WILL INCLUDE:

• Participating in the entire product lifecycle (analyze, develop, test, release, and support.
• Contributing to research for new web and mobile technologies and recommend solutions to improve interface designs and interactions
• Testing, debugging, and fine-tuning to optimize the application’s performance.
• Designing intuitive applications to enhance users’ experiences.

DESIRED SKILLS AND EXPERIENCES:

• 2+ year experiences of mobile/web application development and system integration.
• Must be a skilled programmer with knowledge of coding best practices and ability to produce highly readable and maintainable code.
• Management and support of Google Play Store and Apple App Store.
• Experience in API development and integration with third-party APIs
• English communication is required. Great communication skills to coordinate across technical teams and business stakeholders.
• Creative, detail-oriented, and with good problem-solving skills
• Ability to collaborate with and lead other development team members.
• Ability to work in multiple projects and thrive in a fast-paced environment
• Candidate must possess at least a bachelor's degree or Post Graduate Diploma in Computer Science/Information Technology or equivalent.
• Specialization in IONIC must.

KNOWLEDGE OR EXPERTISE IN THE FOLLOWING ARE AN ADVANTAGE:

• Specialization in HTML5, CSS3, jQuery, and JavaScript.
• Experience with web service integration (REST, JSON, XML).
• Experience or knowledge with Git, Gitlab, GitHub is a plus.

Amagi is a SaaS platform that lets every content owner deliver their content to consumers anytime, anywhere, to any device. Amagi helps bring entertainment to hundreds of millions of consumers leading the transformation in media consumption. We believe in a connected ecosystem bringing content owners, distribution platforms, consumers and advertisers together to create great experiences.

Amagi grew by 136% last year and is on its way to double itself again this year. The market leader in FAST (Free Ad-supported Streaming TV), it delivers more than 500 media brands to 1500+ end points and is growing exponentially.

At Amagi, our Internal Enterprise Platforms are key to our continued growth. The success of our products is dependent on the success of our internal processes and their ability to provide scalable, reliable and intuitive experiences to our customers, partners and internal stakeholders.

We are looking for an Engineering Director to help us lead the efforts of building Enterprise platforms to automate Lead to Cash process area including setting up the CRM platform, implementation of billing platform and automating process areas related to managing the disputes, account receivables and account payables. The ideal candidate would be responsible for the successful delivery of a scalable and flexible Enterprise platform, applications and workflows related to Lead to Cash process area.

Role reporting into: Chief Executive Officer

Individuals reporting into this role: Software Development Manager - CRM, Software Development Manager - Billing and AR/AP

Location: Bangalore, India

Key responsibilities include (but are not limited to):

• Participate in the overall design and development discussions
• Support Product Management team in establishing product roadmaps.
• Instil a customer centric and quality-focused culture by using best practices and metrics to ensure desired outcomes
• Focus on building a high performing and highly skilled team.
• Drive engineering excellence by tracking engineering efficiency using relevant metrics
• Demonstrate strong business and technology acumen.

Person Specification:

• 18+ years of overall SDLC experience with 10+ years of experience managing large scale cloud application/platform engineering teams.
• Well versed with at least of one cloud of the platforms, AWS or GCP
• Experience developing the usage/subscription based billing for SaaS products, working with CRM and ERP platforms.
• Strong CS fundamentals (object oriented analysis, data structures, algorithms)
• Experience delivering highly available, scalable, low latency and robust distributed cloud systems.
• Experience with both SQL and NoSQL technologies
• Excellent command over Data Structures and Algorithms.
• Good exposure to CI/CD & Devops environments.
• Knowledge of core Finance & Operations concepts
• Salesforce sales and revenue cloud knowledge
• NetSuite, Salesforce, Freshdesk integration experience
• Working experience with any of the enterprise cloud platforms or applications.

Position Summary:  

The individual should be self-motivated, creative and proactive to work successfully in a  

fast-paced environment including multiple platforms and architectures, and diverse technologies. The  

Individuals will work closely with developers, project managers and other stakeholders.  

Minimum Requirements:  

Experience/Skills:  

• Excellent verbal and written communication skills  
• Primary Skillset:  Strong Core Java experience (Java 8 concepts), JSPs, Servlets, Struts Framework 

• Strong in Spring core, MVC and Spring JPA 
• Working experience on UI using jQuery, JavaScript and CSS 
• Experience in Angular is an added advantage. 
• Strong knowledge of XML handling and JSON implementation 
• Strong knowledge of Web Services (REST API) 

• Experience in handling SQL and PL/SQL, preferably SQL Server 
• Knowledge of Postgres is an added advantage. 
• Experience in writing unit test cases with whole code coverage 
• Experience in JMS implementations preferably Apache Active MQ 
• Should be able to write Unit test cases with whole code coverage 

• You'd have to set up your own shop, work with design customers to find generalizable use cases, and build them out.
• Ability to collaborate with cross-functional teams to build and ship new features
• At least 2-5 years of experience
• Predictive Analytics – Machine Learning Algorithms, Logistics & Linear Regression, Decision Tree, Clustering. 
• Exploratory Data Analysis – Data Preparation, Data Exploration, and Data Visualization. 
• Analytics Tools – R, Python, SQL, Power BI, MS Excel.