11+ BIP Jobs in Mumbai | BIP Job openings in Mumbai

Oracle Cloud HCM Technical 

Experience- 6 – 12 years 

Location- Hyderabad, Chennai, Bangalore, Pune, Kolkata, Noida, Gurgaon, Mumbai 

1.Practitioner/expert level knowledge in at least 2 of the following tools: HDL, HCM Extracts, 

BIP Reports, OTBI Reports, REST Web services, Fast Formula 

2.In depth knowledge in at least two of HCM Cloud Modules: 

∙Core HR   

∙Absences   

∙Benefits   

∙Payroll   

∙Workforce Compensation 

∙OTL 

∙Taleo 

∙OLC 

∙Oracle recruit. 

1.Cloud -certification will be an advantage 

2.Very good communication skills and excellent problem-solving skills. 

3.Direct client interaction experience will be an advantage

Generic Job Description for your easy reference:

• Manages day-to-day relations with the media, to include handling media queries, media interviews, and press conferences, preparing news releases and media kits, and promoting story lines; serves as the spokesperson on highly sensitive, complex or emergency situations.
• Provides direct and proactive advice, consultation, and assistance to the Head, public information matters, to include providing direct assistance in researching, providing information and developing messages.
• Cultivates and maintains knowledge of and relationships with key news media at local, state and national levels.
• Responds to and follows through on requests for information from the media and the public, determining appropriate, accurate response and appropriate university contacts for response; collaborates with the Custodian of Public Records to respond to requests for information in compliance with the Inspection of Public Records Act.
• Plans and disseminates internal and external communication of information through various media that is designed to keep public informed of accomplishments or points of view.
• Writes, edits, reviews and assures appropriate distribution of communication/public relations materials that have a wide impact including news releases, articles, speeches, on-line information services, and broadcast scripts; may oversee production and publication of communication/public relations materials and related communication.
• Gather, write, edit, coordinate and upload information for/to the web site; may assist with the design of consistent methodologies for the development of internet/intranet and new emerging technological communication resources.
• Leads or guides the work of a collaborative communication team as appropriate.
• Performs miscellaneous job-related duties as assigned.

• Engage in Node.js back-end development with MongoDB
• Work on Backend programming
• Work on databases
• Coordinate with front end teams for overall project overview
• Create User stories and UML, documentation of the business goals

• Must have knowledge of Node.Js, HTML, CSS
• Knowledge of git and AWS  
• Proficient in Data Structures and Algorithms  
• Good in Object oriented design
• Ability to work independently and manage the entire backend of all platforms associated with Rejolut
• Exemplary tasks – Explore something new every day!
• Responsibility – Bring in your own ideas and get supported in executing them. 
• Fun – Experience a family culture & celebrate with the founders & team.
• Team – Be a part of a high-performance & cultural diverse team

• Freshers can apply
• Students in their last semester or passed out in 2020 can also apply

• Working days: Monday to Friday
• Timings: 11:00 am to 7:00 pm
• Duration of internship: 6 months/PPO(Performance Basis)

• You are available for the above said duration.
• You prefer to work in a fast paced environment with growth & learning opportunities
• If you have not applied for an internship before with us.
•  have relevant skills and interests

•  Health Insurance
•  Work from Home
•  Fast growth and more visibility into the company
•  Experience to work on the latest technology
•  Competitive Learning Environment with supportive co-workers
•  Employee friendly HR Policies
•  Paid leaves up to certain limits
•  Liberal working atmosphere
• Get mentored by the best in the industry

1 to 3 years of experience in digital marketing - Highly conversant with Google Analytics and other similar tools - Basic programming ability(preferably R or Python)

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