Role description
Job Description
Role : AI Engineer
Location : Onsite/USA
Who are we looking for?
We are looking for 7+ years’ experience AI Engineer, who would have an experience in artificial intelligence engineering to join the revolution, using deep learning, neuro linguistic programming (NLP), computer vision, chatbots and robotics to help various business improvements.
Technical Skills:
Four or more years of experience with Python, Geneal AI tools
Familiarity with the AWS ecosystem, specifically Redshift and RDS
Experience in RAG (Retrieval-augmented generation) modelling
Experience with ML, deep learning, TensorFlow, Python, NLP
Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
Experience in REST API development, NoSQL database design, and RDBMS design and optimization
Communication skills, especially for explaining technical concepts to nontechnical business leaders
Experience in insurance domain
Professional certification.
Strong understanding of distributed systems: They need to understand the complexities of modern architecture, including microservices, cloud-native environments, and hybrid infrastructure.
Proficiency in observability tools: They are familiar with tools for logging, metrics, and tracing, such as ELK Stack, Prometheus, Grafana, and distributed tracing systems.
Scripting and automation: They can automate tasks and create scripts to manage observability infrastructure.
Should have experience with cloud platforms like AWS, Azure, and GCP
Key Responsibilities and Skill
Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership
Understand company and client challenges and how integrating AI capabilities can help lead to solutions
Understand the application of architecture to instrument them for observability. Need to automate the onboarding of applications in a factory model.
Use agile software development processes to make iterative improvements to our back-end systems
Develop models that can be used to make predictions and answer questions for the overall business.
Metric & Instrumentation Standards: Defining common metric standards for every stage of the Application Lifecycle process and Instrumentation standards and scripting including OTel standards alignment
Collaboration and Communication: They collaborate with development, SRE, and other teams to ensure observability practices are integrated into workflows and to share insights.
Qualification:
Somebody who has at least 7+ years of work experience who has played AI Engineer role.
Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related discipline
Education qualification: Any degree from a reputed college
Other details
Deputation Location : US~North Carolina~Charlotte
salary range 60000 to 140000 $
