Employment Type : Temporary

 Job Specification

Successful candidates will -

1. Engage with TELKOM Account teams and prospective customers to analyse and understand customer requirements;
2. Frame the problem that the customer is attempting to solve, specify an analytical solution to the problem and establish, in conjunction with the other members of the TELKOM team, that it is feasible to solve this problem, and help to identify the most appropriate TELKOM technology;
3. Take the lead in using the solution to drive business benefit for the customer and in quantifying the benefits of the solution and articulating these to the customer;
4. Continue to work with the customer, post-implementation, to enable them to deploy the solution as widely as possible;
5. Document the analytical use-cases - and the benefits that were realized - and share this expert knowledge with the wider, global Teradata, to enable similar solutions to be deployed more widely, thus driving increased levels of business for the TELKOM Indonesia;
6. Support the Big Data Center of Exelence with demand generation and technical marketing, as required, including work at internal and external conferences.
7. Be willing to work across the TELKOM International region, and across multiple industry verticals.

 

Requirement

Successful candidates must -

1. Have 3 years hands-on experience in the exploitation of data and the use of advanced statistical and modelling techniques to understand and improve business performance in at least one major industry vertical;
2. Be a clear, confident and persuasive communicator, with excellent presentation skills and with the ability to structure a coherent, logical argument and the confidence to defend assumptions, projections and recommendations;
3. Demonstrate a keen interest in, and fair understanding of, big data technology and the business trends that are driving the adoption of this technology;
4. Be proficient in the use of both written and spoken business English;
5. Possess excellent analytical and problem-solving skills;
6. Demonstrate excellent organizational and people skills, including the ability to work independently and appropriately prioritise between competing opportunities.

Successful candidates will preferably -

1. Have a background in business and/or technology consulting;
2. Demonstrate a solid understanding of Computer Science, Mathematics, Statistics, Econometrics, Engineering, Artificial Intelligence;
3. Capable to build robust end-to-end predictive models using the latest Machine Learning techniques and methodologies;
4. Be familiar with both SQL and at least one of the following procedural programming languages C; C#; Java; Python; Perl; R;
5. Experience with NodeJS, Python, Hadoop, and Spark;
6. Have competencies or certification (e.g: CRM Analytics, Data Modellar, Data Strategist, Machine Learning, Video Analytics, Data Engineer, Growth Hacking, Deep Learning, NLP, Business Analytics, Project Management, Domain Expert, or Data Visualization) from trusted institutions recognized by professional organizations;
7. Having knowledge about Big Data Technology;
8. Having a very good understanding about statistics and machine learning;
9. Fluent in English.
   
   
   Only selected candidates will be contacted

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Employment Type : Temporary

Artificial intelligence (AI), which is doing computer activities with artificial intelligence, is designed to cover the following processes: learning (information acquisition and rules for using information), reasoning (using rules to reach estimates of conclusions) and problem solving. Certain AI applications include expert systems, speech recognition, and machine vision.

 

Job Specification

Successful candidates will –

1. Work with business, engineering and product teams to form an understanding of the requirements and processes of existing systems. Create deep learning and machine learning algorithms that can be applied to address business needs and provide business insights.
2. Apply advanced deep learning and machine learning techniques to form a deep understandings of customer behavior and products. Create decision-support and decision-making systems based on such learning results to improve business efficiency.
3. Participate in cutting-edge research in artificial intelligence (i.e), deep learning and machine learning algorithms and applications.
4. Define and drive a technical vision and strategies to integrate deep learning and machine learning algorithms into the existing production system and business decision making processes.
    

Requirement

1. Demonstrate a solid understanding of Computer Science, Mathematics, Statistics, Econometrics, Engineering, Artificial Intelligence.
2. Have 3 years hands-on experience applying machine learning techniques to solve real-world problem, and architecting, training and analyzing for at least one of the following applications: Object detection, Image segmentation, Sensor fusion, temporal fusion (tracking).
3. Experience in one or more of the following areas: machine learning, recommendation systems, categorization, large-scale data mining or artificial intelligence, NLP, deep learning, computational genomic.
4. Have certification from trusted institutions recognized by professional organizations.
5. Experience with a deep learning framework such as TensorFlow or Caffe.
6. Experience with a big data platform such as Hadoop and Spark.
7. Experience with scripting languages such as Python or R, C++
8. Experience with Node.JS, SQL and NoSQL database.
9. Experience developing software as part of a team.
10. Strong passion in mathemathic, statistic and programming.
11. Excellent analytical, communication, and writing skills.
12. Fluent in English.
    
    Only selected candidates will be contacted

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