drjobs Software Engineering Lead Analyst العربية

Software Engineering Lead Analyst

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1 Vacancy
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Job Location drjobs

Hyderabad - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Role Title: Software Engineering Lead Analyst

Position Summary:
You will be joining a team transforming
healthcare and improving the lives and vitality of the millions of members we
serve. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML)
algorithms to develop solutions for automated document processing and customer
service chat bots. We are looking for Sr AI Engineers with strong engineering
full stack expertise to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions.
The work you do will impact millions of customers members and employers that rely on
Cigna every day. Extreme focus on speed to market and getting Products and
Services in the hands of customer and passion to transform healthcare is key to
the success of this role
Responsibilities:
Build scalable software solutions using LLM s and other ML models
to solve challenges in healthcare
Build enterprise grade AI solutions with focus on privacy
security fairness.
Work with Product Development as a Generative Artificial
Intelligence (AI) subject matter expert and architect and develop scalable
resilient ethical AI solutions
Strong engineering skills to design the output from the AI with
nodes and nested nodes in JSON or array HTML formats as required This is critical
so that the AI output can be consumed as is and displayed on the dashboard for
accelerated development cycles.
Build extensible API Integrations low code UI/UX solutions with
extremely short cycle times to extract information from sources integrate
with GPT4 receive insights and make them
available in intuitive high performing dashboards
Build solutions that align with responsible AI practices.
Envision the solution outcomes to solve for the business problem
with actionable insights
and design viable solutions to meet the outcomes.
Understand how AI is interpreting the data set and use that
understanding to build prompts that lead to expected outcomes
Architect and develop software or infrastructure for scalable
distributed systems and with machine learning technologies.
Work with frameworks (Tensorflow PyTorch) and open
source platforms like Hugging Face to deliver the best solutions
Optimize existing generative AI models for improved performance
scalability and efficiency.
Develop and maintain AI pipelines including data preprocessing feature
extraction model training and evaluation.
Strong technical skills
in machine learning and AI especially natural language processing generative
models like GPT3 DALLE etc. Understanding how these models work is crucial.
Solid delivery
experience of at least one large scale solution leveraging Gen AI.
Experience with
largescale cloud infrastructure and services like AWS GCP Azure. Knowing how
to build and deploy AI solutions leveraging cloud services.
Software engineering
skills Ability to build systems and infrastructure to deploy AI models into
production applications and ensure effective integration.
Knowledge of AI
Responsibility principles like safety transparency fairness and
accountability. Assessing and mitigating risks from generative AI.
Architectural design
ability Design effective pipelines processes validation mechanisms for
building enterprisegrade generative AI solutions.
Understanding of various applications of generative AI like
summarization translation conversational systems retrieval augmented
generation
Develop clear and concise documentation including technical
specifications user guides and presentations to communicate complex AI
concepts to both technical and nontechnical stakeholders.
Contribute to the establishment of best practices and standards for
generative AI development within the organization.
Required
Skills:
Strong
understanding and exposure in natural language generation or Gen AI like transformers LLM s text embedding s
Strong
knowledge of data structures algorithms and software engineering principles.
Familiarity
with cloudbased platforms and services such as AWS GCP or Azure.
Excellent
problemsolving skills with the ability to think critically and creatively to
develop innovative AI solutions.
Strong
communication skills with the
ability to effectively convey complex technical concepts to a diverse audience.
Possess a
proactive mindset with the ability to work independently and collaboratively
in a fastpaced dynamic environment
proficient
in python and commonly used data science libraries like pandas scikit learn tensorflow keras PyTorch etc. (some of these libraries)
Experience
working with different LLMs and Proficient in Prompt Engineering.
experience
building machine learning infrastructure data pipelines to train ML models
experience
with common machine learning techniques like preprocessing data training
evaluation of models
experience
with public cloud technologies and their ML services (AWS preferred)
Required Experience & Education:
Degree in
Computer Science Artificial Intelligence or a related field
6 years of Full stack engineering expertise with languages like Python and Proficiency in designing architecture building API
Integrations configuring and deploying
cloud services setting up authentication monitoring and logging
3 years of experience working in a complex matrixed organization
involving crossfunctional or crossbusiness projects
2 years of experience in implementing enterprise systems in production
setting for AI computer vision natural language processing. Exposure to
selfsupervised learning transfer learning and reinforcement learning is a
plus.
Desired Experience:
Experience with
information storage/retrieval using vector databases.
Experience with
designing scalable software systems for classification text
extraction/summary data connectors for different formats(pdf csv doc etc)
Experience with machine
learning libraries and frameworks such as PyTorch or TensorFlow Hugging Face Lang chain Llama Index.

machine learning,ml,artificial intelligence,python,pytorch,keras,aws

Employment Type

Full Time

Company Industry

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