Bangalore
24 days ago
Lead II - Enterprise Solutions : Lead Data Scientist

Role Proficiency:

Independently analyse and develop applications in assigned area of responsibility on ERP/CRM systems. Design solutions under the supervision of an Architect along with managing a team

Outcomes:

     Develop technical documents such as Functional Design Specifications Deployment documentation      Perform design document reviews peer code reviews and suggest code improvements      A single point of contact for the build and deployment issues and resolve them on time      Learn technology business/system domain and as recommended by the project/account      Contribute to ERP/CRM Practice related activities like (but not limited to) assembling content for case studies contributing to reusability coordinating internal seminars and conduct knowledge sharing sessions organizing sessions during and participating in hackathons etc.      Select appropriate technical options for development such as reusing improving or reconfiguration of existing components.      Identify the problem patterns and improve the technical design of the application/system      Optimize efficiency cost and quality.      A self-learner implementing new features released in relevant technology wherever possible.   Act creatively to develop applications and select appropriate technical options optimize application development maintenance and performance by employing design patterns and reusing proven solutions. Responsible for others' developmental activities   Interpret the application/feature/component design to develop the same in accordance with specifications.   Code debug test and document and communicates product/component/feature development stages.   Validate results with user representatives integrates and commissions the overall solution.   Influence and improve customer satisfaction through things like (but not limited to) offering suggestions for code refactoring and improvements in business processes. complete sprint deliverables ahead of time helping client architects and product owners by way of design suggestions and/or explaining functionality to business stakeholders etc…   Influence and improve employee engagement within the project teams.   Set goals in NorthStar and timely. measure progress and update accordingly.

Measures of Outcomes:

     Number of applicable technical/domain certifications completed      Adherence to process and standards (coding standards)      Number of mandatory trainings (industry/technology specific trainings UST mandatory trainings) completed      Average time taken for turnaround on production bugs      Adherence to schedule and timelines      Contribution to RFPs and estimations in ERP/CRM Practice      Number of Junior Leads who were guided and unskilled to lead a technical team.      Number of technical sessions conducted within practice for the benefit of peers and team members.

Outputs Expected:

Requirement:

Understand the requirements/user stories


Estimate:

Create and provide inputs for effort and size estimation and plan resources for projects. Follow scrum ceremonies.


Design:

Contribute to creation of design (HLD
LLD
SAD)/architecture for Applications/feature/Business Components


Configuration and Coding:

Define coding standards
templates and checklists. Perform code review of team members


Test:

Create and review unit test cases
scenarios and execution Review test plan created by testing team Provide clarifications to the testing team


Manage Defects:

Perform defect RCA and mitigation Identify defect trends and take proactive measures to improve quality


Manage Project:

Manage delivery of modules and/or manage user stories


Documentation:

Create/review templates
checklists
guidelines
standards for design/process/development Create/review deliverable documents. Design documentation
test cases and results


Status Reporting:

Report status of tasks assigned Comply with project related reporting standards and process


Manage knowledge:

Contribute project related documents
share point
libraries
client universities Review the reusable documents created by the team


Release:

Execute and monitor release process


Interface with Customer:

Clarify requirements and provide guidance to development team Present design options to customers Implementation reviews with stakeholders. Work closely with customer architects to finalize design


Domain relevance:

Advise software developers on design and development of feature / component with deeper understanding of the business problem being addressed for the client. Learn more about the customer domain and identify opportunities to provide value additions to customers Complete relevant domain certifications


Manage/Mentoring Team:

Set goals and provide feedback Understand aspirations of team members and provide guidance
opportunities
etc Ensure team members are upskilled Ensure team is engaged in project Proactively identify risks and work to mitigate

Skill Examples:

     Explain and communicate the design / development to the customer      Perform and evaluate test results against product specifications      Break down complex problems into logical components      Estimate effort time and resources required for developing / debugging features / components      Perform and evaluate test in the customer or target environment      Make quick decisions on technical/project related challenges      Manage a team mentor and handle people related issues in team      The ability to maintain high motivation levels and positive dynamics in the team.      Interface with other teams designers and other parallel practices   Set goals for self and team. Provide feedback for team members   Create and articulate impactful technical presentations   Follow high level of business etiquette in emails and other business communication   Drive conference calls with customers and answer customer questions   Proactively ask for and offer help   Ability to work under pressure determine dependencies risks facilitate planning and handle multiple tasks.   Build confidence with customers by meeting the deliverables on time with quality.   Estimate effort time and resources required for developing / debugging features / components

Knowledge Examples:

     Functional and technical designing on various ERP/CRM cloud platform features and automations.      Thorough knowledge of coding best practices; understanding the limitations of coding      Experience using data loading tools.      Experience on production deployment and solving deployment errors.      Knowledge of Agile Methods - Scrum and Kanban. Experience in integration with external systems using SOAP API REST API etc.

Additional Comments:

[Technology and Sub-technology] Technology name : Machine Learning , Statistics , Deep Learning , ML Ops , Data Analytics covering : NLP Linear Regression Classification & Clustering Transfer Learning NLP Forecasting based Models & Algorithms Large Language Models Machine learning frameworks such as Tensorflow, PyTorch, MLlib etc. Data Bricks Sub-technology name: Python, SQL, Spark, Kubernetes, Jenkins, Prometheus [Base Location]: Bangalore [Type]: Hybrid [Qualifications] Master’s degree in CS/Statistics/Data Science, with a specialization in machine learning or equivalent experience. 5+ years of experience in Data Science Experience in developing production-level large-scale ML models and data pipelines. Experience with Python or Scala or Java. Industry work experience in designing and implementing machine learning-based solutions that ideally include online safety, voice-activated conversational systems, recommender systems, search engines, personalization, time series forecasting, and A/B testing. Strong machine learning, statistical and analytical skills. [Job Overview]: We are looking for an experienced AI/ML Engineer, who can execute projects end to end and take then to production pipeline. The candidate is expected to lead the AI/ML work across multiple projects, working along with other Data Scientists, ensuring clear understanding and translation of requirements for the team and proposing optimized solutions. He / She would also need to work on Ad hoc timebound POC’s. Capability building and team upskill would also be expected from him / her. We would want him / her to share the knowledge with other team members and bring them up to the same level , which includes conducting learning sessions across teams and monitoring the progress of the team members. [Primary Skills]: ● Design and develop various machine learning and deep learning models and systems for high impact consumer x`x` to diverse groups of stakeholders. ● Analyse and produce insights from a large amount of dynamic structured and unstructured data using modern big data and streaming technologies ● Produce reusable code according to standard methodologies in Python, Scala or Java ● Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code reviews. [Good to have Skills]: SQL, Data Analysis , Gaming Industry knowledge [Responsibilities and Duties]: Lead dedicated team of software engineers to architect, build, deploy and support best-in-class software services that are always available to provide the best gaming experience for our customers. Build and develop a high energy, committed, motivated engineering team focusing on engineering and operational excellence to deliver awesome business results. Collaborate across business units and product teams to develop and execute against the team's vision, strategy, and roadmap. Use technical expertise and industry trends to influence software development standard methodologies. Handle day-to-day activities of engineering team using Agile/Scrum methodology. [Keywords] Data Science , Machine Learning , Artificial Intelligence , Statistics , Deep Learning

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