Winning Edge
Location
Bangalore | India
Job description
What You'll Be Doing :You will be responsible for designing, implementing, and managing data preparation and advanced analytics tools in addition to demonstrating insights from the varied sources of data to business users. You will develop and design language understanding/generation systems and effectively using text representation techniques. You will be a key contributor to the Advanced Analytics and AI Workstream of the NextGen QMS Program.How You'll Succeed :- Partner with Lilly architects, software vendor, and third party implementation partner to develop, document, test and implement advanced analytics and AI features with Lilly's new e-QMS solution.- Operate with a quality mindset always considering the impact of design decisions on the long-term support and maintenance of delivered solutions.- Work with our partners to identify and implement the most optimal advanced analytics and AI solutions.- Research, design and adopt cutting-edge NLG algorithms to address real-world challenges such as summarization.- Ensure data integrity, security, and privacy requirements are met.- Understand business requirements and effectively translate business needs and process into technical terms, and vice versa.- Seek opportunities to reuse existing processes and services to streamline support and implementation of key systems.- Ensure solution performance, uptime, and scale, maintaining high standards of code quality and thoughtful design.- Build effective relationships with business areas, strategic vendors, and key delivery partners to share expertise and seek opportunities to reuse internal processes and services, so we can streamline implementation and support of key systems.What You Should Bring :- Experience designing, developing, and researching Machine Learning systems, models, and schemes through data science and data analytics prototypes.- Understanding of Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG).- Experience developing and implementing technical efforts to design, build, and deploy AWS/ Azure ML models at the direction of lead architects, including large-scale data processing, computationally intensive statistical modelling, and advanced analytics.- 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.).- Experience in AWS services such as SageMaker, Elasticsearch, and general knowledge of AWS architecture & other services.- Experience working with a variety of relational and non-relational databases and proficiency in SQL.- Ability to write robust code in Python, Java and R.- Experience optimizing model hyperparameter tuning for speed and cost.- Experience in building MLOps pipeline using MLOps frameworks like Kubeflow, MLFlow, and DataRobot.- Experience with Docker and Kubernetes.- Familiarity with Eventbridge and AWS step function for workload orchestration.- Experience with Agile Development.Basic Qualifications :- Bachelor's Degree in computer science or related scientific discipline.- 5 plus years of relevant work experience.- Experience working in regulated environments and with internal systems quality policies and procedures (ref:hirist.tech)
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