Assoc Dir, Machine Learning
At a glance
Mid-level Machine Learning Engineering role at IQVIA. Bangalore · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Lead delivery of AI and machine learning initiatives from implementation through release
- Shape technical roadmap input with product leads, then guide engineers in building to specifications
- Plan sprints and releases with product owners and scrum teams, setting delivery commitments
- Oversee solution design, engineering, testing and launch, including release decisions and post-launch fixes
- Track product KPIs, coordinate support and monitoring, and report project status, risks and issues
What you bring
- Strong software development and application-building experience, with substantial system architecture knowledge
- Practical familiarity with microservices and at least one of machine learning, NLP or OCR
- Working knowledge of GitLab, Jira, Kubernetes and Docker
- Deep understanding of software development lifecycles, Agile methods and engineering principles
- Strong English communication and experience leading virtual teams across a matrix
Who this fits
This role suits a hands-on technology leader who can guide engineering delivery while managing a team of project managers, architects, analysts, developers and testers. You’ll work with global teams and stakeholders, and the job includes regular virtual and face-to-face communication and extended periods of sitting.
From the employer
JOB DESCRIPTION
ROLE – Engagement Lead | Associate Director, IT
RESPONSIBILITIES
- Delivery accountability and implementation ownership of IQVIA’s AI ML based initiatives end to end.
- Establish a strong understanding of product strategy and roadmap in working with Product management lead and contribute to roadmap from technology enable capabilities standpoint
- Responsible for providing technology leadership to engineering team to ensure product gets built based on defined specifications and industry best practices in a timely manner
- Work with product owner, scrum masters and the scrum team do release and sprint planning and provide team commitments accordingly.
- Act as a technology SME and educate internal and in many cases external users about product capabilities, best practices in technology and software engineering management
- Responsible to ensure product is built in a modular, configurable and in a service based implementation model.
- Accountable for solution oversight on the project covering functional as well as non-functional requirements of the project.
- Oversee design, engineering, testing and product release. Provide technology leadership in terms of making a feature release decision and provide hands on leadership to resolve post release issues as needed.
- Ownership of collecting and help analyzing product KPIs.
- Work with Support team to put right product monitoring and hypercare + support model
- Work with Product manager to plan future incremental releases, new minimum viable products and manage global roll out of product features
- Accountable for adherence to all SDLC and project governance mode followed within RDS IT wrt project scoping, feasibility, estimation, change control, gate reviews and delivery of the final release.
- Accountable for identifying skill sets needed for project implementation in collaboration with the demand function.
- Accountable for liaising with the resource management team to obtain resources with the requisite skill sets for project implementation.
- Accountable for managing any delivery related escalations
- Accountable for preservation and enhancement of product/business-line specific domain knowledge.
- Responsible for functional people management of a team of domain aligned roles like Delivery Project Managers, Architects, System/Data Analysts, Developers and Testers
- Accountable for project performance reporting – status, change/s, metrics, risk, issues and dependency management to relevant stakeholders
REQUIRED KNOWLEDGE, SKILLS AND ABILITIES
- Hands on experience on the software development practice with larger exposure to system architecture.
- Strong Application development background and microservices architecture
- Exposure to one or more of the AI technologies such as ML, NLP and OCR and strong end to end delivery background
- Require knowledge of GITLAB, JIRA, Kubernetees, Dockers
- Exposure to cloud hosting such as AZURE or AWS is added advantage
- Deep knowledge of Software Development Life Cycle & Agile Principles
- In-depth understanding of Software Engineering principles
- Hands-on experience of running large delivery projects in a global industrialized software delivery environment (Agile and SAFe) is good to have.
- Experience with Clinical domain
- Excellent communication and interpersonal skills, including good command of English language
- Strong leadership skills with proven ability to lead a virtual team in a matrix structure
- Innovative and strategic thinking capability
- Excellent negotiation and influencing skills
- Ability to establish and maintain effective working relationships with coworkers, managers and stakeholders.
- Ability to learn quickly and adapt to new environments
- Good problem-solving skills
- Being sensitive to different cultures and ability to work globally
PHYSICAL REQUIREMENTS
- Extensive use of keyboard and mouse requiring repetitive motion of fingers and wrists
- Regular sitting for extended periods of time
- Frequent use of telephone, virtual meetings and face-to-face communication requiring accurate perception of speech
At IQVIA, we believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. The advanced analytics, technology solutions and contract research services we provide to the life sciences industry are made possible by our 70,000+ employees around the world who apply their insight, curiosity and intellectual courage every step of the way. Learn more at jobs.iqvia.com.