Gis Ids Ml Engineer Job In Lilly In India, Bengaluru / Bangalore

Detailed Description:

• Competency :

Machine Language EngineerThis 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 productionThe 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:

• Work in tandem with our engineering partners to identify and implement the most optimal cloud-based ML solutions for the company
• Research, design and adopt cutting-edge NLG algorithms to address real-world challenges such as summarisation
• Define and document best practices and strategies regarding deployment and infrastructure maintenance
• Ensure ML Model performance, uptime, and scale, maintaining high standards of code quality and thoughtful design
• Maintain a platform that automates creating, training, deploying and updating machine learning models
• Managing BI Platforms in accordance with company security guidelines
• 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 Experience:Proven experience with the following:

• 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)
• 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 modeling, 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)
• Should have experience in AWS services such as SageMaker, Elasticsearch, and general knowledge of AWS architecture & otheru00A0servicesu00A0
• 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

Desirable Skills:

• 5+ years of production model deployment experience for ML solutions
• Highly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed
• Strong teamwork, problem-solving, and analytical skills
• Deep knowledge of math, probability, statistics and algorithms
• Strong understanding of Pharmau00A0Quality Standards and Practicesu00A0
• Excellent leadership and interpersonal skills (both verbal and written)

Lilly is looking for .

Lilly is looking for Any Graduate / Post Graduate profile candidates.