Job Description

Line of Service AdvisoryIndustry/Sector Not ApplicableSpecialism Data, Analytics & AIManagement Level Senior Associate & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.Job Title: Generative AI - ML Engineer
Job Function: Information and Digital solutions
Location: Bangalore, India
Reports to: Senior Team Manager
Role Level 3 to 10 years
Education
Requirements:Bachelor's Degree (or equivalent work experience)Internal / External: Internal External
Lead Candidate: Yes No
Expiry Date: 31-Dec-2024
Contact Name: Nabeel Moosa
Detailed Description:
At Lilly, we unite caring with discovery to make life better for people around the world.
We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 39,000
employees work to discover and bring life-changing medicines to those who need them,
improve the understanding and management of disease, and give back to our
communities through philanthropy and volunteerism. We give our best effort to our work,
and we put people first. Were looking for people who are determined to make life better
for people around the globe.
\xef\x82\xb7 Competency :
Machine Language Engineer
This position is for an expert in machine learning to help us extract value from our data.
You will lead all the processes from data collection, cleaning, and preprocessing, to
training models and deploying them to production. The key responsibilities will be to
prepare modern Natural Language Technology (NLT) platforms to gain insights from
key business data. The employee will be responsible for designing, implementating and
managing data preparation and advanced analytics tools in addition to demonstrating
insights from the varied sources of data to business users. Responsibilities also include
developing and designing language understanding/generation systems and effectively
using text representation techniques.
Objectvies of the role:
o Work in tandem with our engineering partners to identify and implement the
most optimal cloud-based ML solutions for the company
o Research, design and adopt cutting-edge NLG algorithms to address real-
world challenges such as summarisation.
o Define and document best practices and strategies regarding deployment
and infrastructure maintenance
o Ensure ML Model performance, uptime, and scale, maintaining high
standards of code quality and thoughtful design
o Maintain a platform that automates creating, training, deploying and
updating machine learning models.
o Managing BI Platforms in accordance with company security guidelines
o Build effective relationships with business areas, strategic vendors, and key
delivery partners such as the Advanced Analytics and Data Sciences
(AADS) group to share expertise and seek opportunities to reuse internal
processes and services, so we can streamline implementation and support
of key systems.Required /Proven experience with the following:
o Designing, developing, and researching Machine Learning systems,
models, and schemes through data science and data analytics prototypes.o Understanding of Natural Language Processing (NLP), Natural Language
Understanding (NLU) and Natural Language Generation (NLG)
o Develop and implement technical efforts to design, build, and deploy AWS
ML models at the direction of lead architects, including large-scale data
processing, computationally intensive statistical modelling, and advanced
analytics
o Familiarity with deep learning, machine learning and NLP/NLG frameworks
(like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and
libraries (like scikit-learn, spacy, gensim, CoreNLP etc.)
o Should have experience in AWS services such as SageMaker,
Elasticsearch, and general knowledge of AWS architecture &
other services
o Ability to write robust code in Python, Java and R
o Experience optimizing model hyperparameter tuning for speed and cost
o Experience in building MLOps pipeline using MLOps frameworks like
Kubeflow, MLFlow, and DataRobot
o Experience with Docker and Kubernetes
o Familiarity with Eventbridge and AWS step function for workload
orchestration
o Experience with Agile Development.
Desirable Skills:
o 5+ years of production model deployment experience for ML solutions
o Highly motivated/self-starter with a sense of ownership, willingness to learn,
and desire to succeed
o Strong teamwork, problem-solving, and analytical skills
o Deep knowledge of math, probability, statistics and algorithms
o Strong understanding of Pharma Quality Standards and Practices
o Excellent leadership and interpersonal skills (both verbal and written)Mandatory Skill Set-Python,LLM(openAI, embeddings Claude),NLP, NLU, AWS Bedrock,Sagemaker, Lambda Functions
Preferred Skill Set-Python,LLM(openAI, embeddings Claude),NLP, NLU, AWS Bedrock,Sagemaker, Lambda Functions
Year of experience required-3-10years
Qualifications-BE/BTECHEducation (if blank, degree and/or field of study not specified) Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required Skills Lambda Expressions, Python (Programming Language)Optional SkillsDesired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date

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