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The IT Firm
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Artificial Intelligence Engineer - Data Modeling

Artificial Intelligence Engineer - Data Modeling

The IT Firm

7 years

0 Lacs

Greater Kolkata Area

Posted:1 week ago| Platform:

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Skills Required

data ai engineering learning vision robotics python aws redshift retrieval ml tensorflow algorithms design rest api development nosql database optimization communication architecture microservices logging metrics stack scripting automation automate azure gcp analyze technology flow prototyping testing training support collaboration leadership onboarding agile software instrumentation

Work Mode

On-site

Job Type

Full Time

Job Description

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 linguisticprogramming (NLP), computer vision, chatbots and robotics to help various 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 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 backend 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.
(ref:hirist.tech)

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Artificial Intelligence Engineer - Data Modeling