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Fullstack AI Engineer

1 month ago

bangalore, India Lilly Full time

We’re looking for people who are determined to make life better for people around the world.

As an Fullstack AI Engineer in LRL, you will be responsible for developing and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely on understanding business requirements and design custom AI solutions that address complex challenges. You will have the opportunity to accelerate the AI adoption across the business landscape in the Clinical space. You will be responsible for successfully deliverying on AI use cases in clinical projects from start-up through close-out, including protocol development, site management, and data review. To be successful, you must be a strong programmer, proficient at thoroughly develop AI solutions and partner with peer AI/ML engineers to enhance and accelerate AI adoption in business processes.

  Key Responsibilities:

Build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need. Demonstrate deep knowledge and expertise in foundational and large language models, as well as related AI technologies and frameworks. Identify potential challenges, constraints, and opportunities for innovation in Clinical space to provide recommendations and propose effective solutions. Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate on defining best AI/ML driven practices and AI lifecycle Work across functions to develop AI solutions using NLU, ML, and AI. Design, build, and deploy predictive models and statistical analyses to solve business problems and optimize processes. Conduct thorough testing and validation of models to ensure accuracy, reliability, and scalability. Accelerate the delivery of AI use cases in collaboration with the other AI teams to deliver the highest business impact use cases. Develop, improve, and carry out plans for using AI and its effects, along with finding new ideas and partnerships to help. Choose the right AI tools and models for the job and build and train them using Python and other free technologies. Collaborate with different teams to create AI solutions that can generate new content using language understanding and machine learning. Provide technical guidance and mentorship to junior team members, and actively participate in knowledge sharing activities.

Required Technical Skills:

In

Bachelor's degree in computer science, information technology, management information systems or equivalent work experience in Data Science, AI/ML Preferred 1-2 years of experience in AI research and development, with a focus on healthcare or life sciences applications Overall experience of 3-5 years of experience with 1-2 years preferred experience in AI research and development, with a focus on healthcare or life sciences applications. Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Strong programming skills, with proficiency in Python, R and experience with AI frameworks such as TensorFlow, PyTorch, or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus. Preferred experience in Node/React to help build application around AI solutions. Experience working with large datasets and performing data pre-processing, feature engineering, and model evaluation. Ability to understand customer needs and business objectives in Pharmaceutical domain preferably Clinical. Experience in working closely with clinical Statisticians/Study Builder/ Study Designers and translating their requirements into effective AI solutions.

Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

#WeAreLilly

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