Senior Specialist, Digital SC Software Engineer

The Opportunity

Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

Be part of an organization driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products.

Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats.

Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company’s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy.

A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers.

Role Overview

As a Digital Supply Chain Data/Software Engineer, you will work as a member of the Digital Manufacturing Division team in our global IT hub in Hyderabad. You will be responsible for identifying, assessing, and solving complex business problems related to manufacturing and supply chain by You will collaborate with business stakeholders and determine analytical capabilities that will enable the creation of Insights-focused solutions that align to business needs and ensure that delivery of these solutions meet quality requirements. You will receive training to achieve this, and you’ll be amazed at the diversity of opportunities to develop your potential and grow professionally. We are seeking candidates with experience in hands-on experience in Data Science (building end-to-end ML models) and has hands-on software experience on building Gen AI based applications and systems.

Primary Responsibilities

• Drive product design and ensure consistent execution of product lifecycle processes from concept to launch, ensuring user-centric solutions

• Effectively communicate progress, challenges, learning and success stories to key stakeholders

• Lead creation of comprehensive playbook and training material to standardize and share SOPs with product development and other analytics teams

• Selects analytical techniques and model methods best to solve business problems

• Enables delivery of data-analytics & Gen AI projects. Have deep knowledge of the company's supported technology; understand the whole complexity/dependencies between multiple teams, platforms (people, technologies)

• Communicates intensively with other platform/competencies to comprehend new trends and methodologies being implemented/considered within the company ecosystem

• Understands the customer/stakeholders business needs/priorities and helps build solutions that support our business goals

• Participates in “community of practice” leveraging experience from delivering complex analytics projects.

• Designs machine learning systems and software to automate predictive model

• Transforms data science prototypes and applying appropriate ML algorithms and tools

• Develops ML algorithms to analyze large volumes of historical data to make predictions

• Establishes and manages the close relationship with customers/stakeholders

Qualifications

Education & Work Experience Requirements:  

• Bachelor’s degree (in Engineering or related field, such as Computer Science, Data Science, Statistics, Business, etc.) with at least 8+ years relevant experience

Skillset:  

Candidates must have -

• Hands-on experience with product roadmaps, Agile methodologies and backlog management, ensuring iterative and incremental product improvements

• Strong problem solving, critical thinking, business analysis and quantitative skills

• Strong foundations of statistics and machine learning

• Expertise in developing scalable, secure, and modular product architectures utilizing concepts of Machine Learning, Generative AI, NLP, Prompt Engineering etc,

• Software Development Lifecycle (SDLC) - Experience in Software Development and Engineering, and Analytics Delivery

• Design Applications using AWS / GCP / Azure - Strong proficiency in Python, SQL, and cloud-based environments (AWS, GCP, or Azure) is a must. Experience with APIs, microservices, and DevOps practices is a plus

• Data Engineering - Proficiency in designing & implementing data structure, pipeline & architecture.

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