Responsibilities:
- This Technical role will be leading a team of tech lead, data engineers, BI developers, data scientist and machine learning (ML) developers. The Practice Lead shall be the Subject Matter Expert that would be able to envision, articulate/design, build, deploy and operationalise Big Data + AI / ML solutions, and he/she will be accountable for the overall technology strategy.
- In this role, the Practice Lead will be responsible for detailed solution design and technical accelerators such as Proof of Value (POV)/Proof of Concept (POC) projects. He/She will direct technical resources from the team to design and scale cohesive solutions.
- The Practice Lead will also work closely with the Sales team to close deals, supporting the team through the full sales process of solutions engineering and presentation, standard and/or customised solutions demonstration, customer workshop, development of proposals and work with the sales team to address RFI/RFP-related queries from customers. In addition, he/she will act as a consultant to the delivery team for development and deployment of solutions so as to ensure smooth transition from post-sales implementation to Go-live stage.
Key Skills and Experience:
- Expert level skills in big data technologies like Cloudera Hadoop, SQL Big Data Cluster, HDFS, components of Hadoop like Sqoop/ Hive/ Pig/ Ranger & Spark.
- Understanding of Cloud technologies for Big Data.
- Able to create POC projects with limited tools in short time to showcase the intended solution for the client.
- Have good understanding and hands on for ML development, and possess experience in AI/ML integration to the overall IT infrastructure.
- Experienced level skills with Design Thinking, Agile and MLOps method.
- Able to conduct research and development in Computer Vision, Speech Recognition, Natural Language Processing and other related fields.
- Ability to drive workshop with customer during pre-sales and in-project stages.
- Able to design and review data architecture, and to create and/or improve algorithm/model performance.
- Ability to work collaboratively and productively with team.
- Ability to manage ambiguity, yet producing tangible results.
- Ability to effectively manage challenging situations without loss of focus when under pressure.
Technical and Professional Expertise
- At least 5+ years of relevant industry experience in architecting and solutioning Big Data + AI/ML technologies.
- Preferably possess a master’s degree in Computer Science, Data Science, Artificial Intelligence or related discipline.
- At least completed 3 Big Data + AI/ML projects.
- At least one major Cloud Certification.
- Proficiency in at least 1 or more languages such as: R, Python, SPSS.
- Proficiency in at least 1 or more BI tools such as: PowerBI, Tableau, Qlik.
- Knowledge of various software technologies, methodologies and applied software engineering practices/standards.
- Manage critical client impacting events related to solution and engage with delivery, transition etc.
