DATA MODELLER

• Strong Engineering Manager Profile
• Mandatory (Experience 1) – Minimum 9+ years of software development experience.
• Mandatory (Experience 2) - .Must have Hands-on experience in at least one backend language such as Java, Python, or Golang.
• Mandatory (Experience 3) - Must have 2+ years of experience in a people management/leadership role.
• Mandatory (Company) – B2C Product company (preferably in the eCommerce domain), NOTE: If candidate is working in a the marketplace like Flipkart, Amazon,the they should have experience in consumer/demand side of the marketplace.

Responsibilities

· Resolving technical support inquiries directly or indirectly through on-site and/or remote first-level support representatives.

· Performing routine assignments in the entry level to a professional job progression.

· Providing prompt recovery and problem escalation using multiple system management and problem management tools.

· Working closely with development teams, support teams and vendors to coordinate special operations, and communicate/escalate problems to meet assigned deadlines.

· Providing analytical support for the development & enhancement of system interfaces and develop/enhance those tools under technical direction from seniors.

· Assisting in daily support of the systems/products assigned, through early detection and pursuit of changes in system responses or operations.

· Working closely with support groups to refine system monitoring, reporting, and to assist them in their analysis and problem recovery.

· Providing prompt, clear, and timely communications; log, coordinate, and communicate problems using standard problem management and escalation procedures.  

We are hiring for marketing

mba fresher for pursuing can apply

• Take charge of all marketing-related activities, including ATL & BTL Marketing.
• Generate admissions through effective marketing strategies.
• Visit schools and colleges for presentations to promote Amity programs.
• Establish tie-ups with consultants for international admissions.
• Conduct seminars to showcase Amity's offerings.
• Counsel students and parents to provide information and guidance.
• Handle day-to-day activities at the center.
• Motivate and lead the team towards achieving common goals.

Required PHP Developer

Experience -at least 6 Month to 2 years

Male/Female Both Can Apply

Work closely with the Project Manager throughout the project process

Required Experience and Qualifications

Experience with PHP MVC Frameworks (CodeIgniter)

Salary-As Per Industry Norms/Based on Last Drawn Salary

Salary-based on last drawn salary

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