AI Engineer

Role Purpose

The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters

AI Engineer

JD:

A strong knowledge and experience of deploying AI models to achieve business goals.

Must be experienced in solution architecture and implementation of data intensive solutions

Experience with ETL

Data engineering,

Designing and building data pipelines for LLM models

Must be good in Python, SQL, Postgress

Experience in Data Ingestion and integration from various sources and experience building automated ingestion pipelines using AWS

Experience in Data cleaning, processing and transformation for unstructured and semi-structured data

Experience preparing data for AI usage and experience with data profiling/quality—identify data gaps and inconsistencies.

Tools - Strong Python, ETL libraries, SQLs, Docker/Kubernetes, Experience with some AWS Data/Pipeline Services, experience in NLP processing, experience with vector DB

Strong Understanding of NLP processing - parsing, chunking, splitting, and tokenization

Strong understanding of vector databases and embedding

Good experience working with a graph database/ Langchain/Langgraph/Llama index/Autogen

Good experience with Neo4j

Perform coding and ensure optimal software/ module development

Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software

Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases

Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces.

Analyzing information to recommend and plan the installation of new systems or modifications of an existing system

Ensuring that code is error free or has no bugs and test failure

Preparing reports on programming project specifications, activities and status

Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns

Compile timely, comprehensive and accurate documentation and reports as requested

Coordinating with the team on daily project status and progress and documenting it

Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders

Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution

Capturing all the requirements and clarifications from the client for better quality work

Taking feedback on the regular basis to ensure smooth and on time delivery

Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members.

Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements

Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code

Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation

Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc

Timely Response to customer requests and no instances of complaints either internally or externally

Deliver

No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation

Mandatory Skills: Python for Data Science.

Experience: 5-8 Years.

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