Senior Software Engineer - Analytics

• Experience in Corporate sales / B2B business in any industry, and willing to work in Digital Media Services.
• You need to identify potential market verticals and explore, map, and analyze the vertical with ADS INDIA’S offerings
• Will be directly responsible for leading & guiding the team of 2-4 Executives
• Imparting Sales & Product training to the subordinates
• Execute the day plan & monitor the daily work
• Accompany the subordinates in the field
• Execute & achieve the Team Sales target

• Maintain all records like Vouchers, Receipts, Bills, and Payments.
• Bank Reconciliation, Payment Collection.
• Monthly GST Working.
• Reconciliation of Sundry Debtors & Creditors
• Payment follows up by Telephonic & mailing
• Daily Stock maintains.
• Handling petty Cash Records.
• Maintain Sales Purchase Registers & Keep in Software properly
• Banking works like a Cheques issue for clearing Cash Deposit, NEFT, and RTGS
• Handling Day-to-Day Accounting
• Prepare Salary Statement, PF Account, Worker Salary, daily wages for Worker
• Finalization of Accounts, Statement of Accounts, Debtors Controls Accounts, Balance sheet Statement, Consumption Charts, Trial Balance, Fixed Assets.
• Tally Erp, Microsoft NAV ERP

Sureify drives customer engagement between the customer and their insurance company by incorporating web & mobile apps, into the insurance product experience. Our product is controlled by our backend dashboard so insurers can get the latest IoT data streaming in. The SaaS platform is designed to ensure that insurers never miss opportunities to increase engagement with their existing customer base.

We are looking for a Full Stack Web Developer who is motivated to combine the art of design with the art of programming. Responsibilities will include translation of the UI/UX design wireframes to actual code that will produce visual elements of the application. You will work with the UI/UX designer and bridge the gap between graphical design and technical implementation, taking an active role on both sides and defining how the application looks as well as how it works. On the backend, you will have the opportunity to help our product scale and be involved in the further architecture of the Sureify platform.

Responsibilities

• Develop new user-facing features
• Build reusable code and libraries for future use
• Build scalable architecture to support millions of users
• Ensure the technical feasibility of UI/UX designs
• Work closely with the UI/UX designers and product managers
• Optimize application for maximum speed and scalability
• Assure that all user input is validated before submitting to the back-end
• Collaborate with other team members and stakeholders

Skills And Qualifications

• Proficient understanding of web markup, including HTML5, CSS3
• 2+ years of experience with Full-Stack web development
• Proficient in PHP or Python or Golang.
• Experience in Golang is an added advantage.
• Proficient understanding of client-side scripting and JavaScript frameworks, including jQuery
• Good understanding of asynchronous request handling, partial page updates, and AJAX.
• Use test-driven development and acceptance tests to ensure feature quality
• Excellent relational database skills with MySQL
• Experience with building restful JSON web services
• Knowledge of APIs, such as Twitter, Facebook, Google maps, Instagram, etc.

• S/MS degree in Computer Science, Engineering or a related subject
• Proven working experience in software development
• Working experience in iOS development
• Have published one or more iOS apps in the app store
• A deep familiarity with Objective-C and Cocoa Touch
• Experience working with iOS frameworks such as Core Data, Core Animation, Core Graphics and Core Text
• Experience with third-party libraries and APIs
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
• Solid understanding of the full mobile development life cycle

• 3+ years of experience with LAMP stack: Linux, Apache, MySQL, PHP
• 3+ years of experience with web APIs: REST
• AWS Experience would be great to have.
• Java/Python experience will be a Plus.
• Good Communication Skills.

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics