Software Developers at IBM are the backbone of our strategic initiatives to design, code, test, and provide industry-leading solutions that make the world run today - planes and trains take off on time, bank transactions complete in the blink of an eye and the world remains safe because of the work our software developers do. Whether you are working on projects internally or for a client, software development is critical to the success of IBM and our clients worldwide. At IBM, you will use the latest software development tools, techniques and approaches and work with leading minds in the industry to build solutions you can be proud of.
Your Role and Responsibilities
As a Data Consultant, you will be responsible for understanding the customers environment as well as data needs and advise organisations on data strategy. You will take the lead to provide strategic direction on large scale business problems related to data. You should be able to define which technologies best fit the needs of the organisation and work with the development team to implement the selected data solution. A Data Consultant therefore should have business experiences as well as sound technical knowledge of a broad range of data tools and technologies.
The problems we address are significantly complex and we expect you to lead excellence in our data methodologies. You should have scientific and industrial maturity to deliver designs and solutions that set the standard for the organization. You should also have a distinct ability to identify and implement robust, efficient and scalable solutions that leverage multiple techniques and/or technologies
Real time anomaly detection solutions that proactively identify service impacting incidents and prevent system downtimes. This is done by leveraging an ensemble of Deep learning and LSTM models.
Natural Language Processing for entity, topic clusters and relationship extraction
Text Analytics in human generated tickets and correlation with event tickets for event noise reduction. ApplyNatural Language Classification and RNN algorithms to automatically route tickets
Log Analysis - Text mining, message clustering / templatization, Logs to metrics, anomaly detection, event annotation and sequencing
Learn Log Message Sequence for each mainframe batch job and Identify Anomalies during job runs using sequence mining techniques and provide early warning / alerts
Cloud Migration - Patterns-based discovery optimization: Identify potential business application boundaries using algorithmic approach from Cloudscape data.
Wave planner: Employ goal-based reasoning from AI planning capabilities for Server affinity, cost, time, black-out windows, etc.
GTS Analytics team is building Data Management Capabilities and would be helping Clients manage their Enterprise IT as well as Business data. There capabilities would be around Data Collection, Data Transformation, Data Security, Data Governance, Data Catalog etc.
Required Technical and Professional Expertise
12+ years of industrial experience in implementing data Solutions from exploration to production
Solid understanding of data analytics infrastructure and data engineering: data storage and retrieval, ETL pipelines, Docker, Kubernetes
Ability to design strategies and programs to collect, store, analyse and visualize data from various sources for specific projects.
Demonstrate capability to lead a team and project, while ensuring the quality and on-time delivery according to the specifications.
Experience to develop big data solution recommendations and ensure implementation of the chosen big data solution.
Working knowledge to produce accurate analyses of the datasets using smart algorithms and the latest big data technologies.
Deep understanding of the latest big data trends as well as know which big data technology companies are out on the market and would fit a chosen strategy.
Expertise to assess data sets and take care of the quality and correctness of the available data.
Preferred Technical and Professional Expertise
Proven Consulting and Client communication Skill
Experience with open-source distributed data processing frameworks, such as Spark
Experience working on a development team building product
Experience with Information Retrieval and relevant tools such as Lucene, Elasticsearch, Solr
Prioritization skills; ability to manage ad-hoc requests in parallel with ongoing projects
Knowledge of software engineering practices such as version control, continuous delivery, unit testing, documentation, release management
Experience in natural language processing, text analytics, data mining, text processing or other AI subdomains and techniques
Experience with Scikit-learn, TensorFlow, Keras, NLTK
Experience with leveraging best practices conducting advanced analytics projects
About Business Unit
At Global Technology Services (GTS), we help our clients envision the future by offering end-to-end IT and technology support services, supported by an unmatched global delivery network. It's a unique blend of bold new ideas and client-first thinking. If you can restlessly reinvent yourself and solve problems in new ways, work on both technology and business projects, and ask, "What else is possible?" GTS is the place for you!
Your Life @ IBM
What matters to you when you’re looking for your next career challenge?
Maybe you want to get involved in work that really changes the world? What about somewhere with incredible and diverse career and development opportunities – where you can truly discover your passion? Are you looking for a culture of openness, collaboration and trust – where everyone has a voice? What about all of these? If so, then IBM could be your next career challenge. Join us, not to do something better, but to attempt things you never thought possible.
Impact. Inclusion. Infinite Experiences. Do your best work ever.
IBM’s greatest invention is the IBMer. We believe that progress is made through progressive thinking, progressive leadership, progressive policy and progressive action. IBMers believe that the application of intelligence, reason and science can improve business, society and the human condition. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 380,000 IBMers serving clients in 170 countries.
For additional information about location requirements, please discuss with the recruiter following submission of your application.
Being You @ IBM
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.