AI-ML Engineer:
Participate in developing Generative AI & Traditional AI Platform Capabilities on enterprise on-prem and cloud platforms.Primary responsibilities include working on vector database, creating index, writing python code for data ingestion, working with content management systems to parse, chunk data. Primary responsibilities also include Vector Database Build on GCP and Azure and building associated data pipeline for Vector Database, Document AI
Required Qualifications:
● Python experience
● big data experience needed (Big Query, Hadoop)
● experience in AIML area (MLOps)
● experience in developing APIs using Python/FastAPI.
● experience in LLM, Generative AI (developing capabilities or dev/ops)
● Good to have Experience in developing of API on GCP/Azure/API Gateways
● Good to have 1+year of experience in Vector Database, Model Development would be added benefit.
Key Responsibilities:
● Participate in developing Generative AI & Traditional AI Platform Capabilities on enterprise on-prem and cloud platforms.
● Primary responsibilities include working on vector database, creating index, writing python code for data ingestion, working with content management systems to parse, chunk data
● Primary responsibilities also include Vector Database Build on GCP and Azure and building associated data pipeline for Vector Database, Document AI
● Responsible for AI model delivery to on-prem infrastructure and cloud platforms (GCP-Vertex AI, Azure ML)
● Building automation capabilities to deploy ML Models and LLM Models on the enterprise on-prem platform and cloud platform.
● Build and Deploy capabilities for automating model scoring/Inferencing of ML models and LLMs.
● Build and Deploy capabilities for data pipeline deployment standardization and model consumption by multiple LOBs.
● Collaborate with product owners, devOps team, data scientists, support teams to define and drive end to end model scoring pipelines.
● Participate in day-to-day standups for platform capability build.
● Provide SME guidance for data science teams on software engineering principles, model deployments, platform capabilities.
● Drive AI use case delivery end to end collaborating with Data scientists, Data Engineers, LOB Technology using standardized platform processes and capabilities.
● Support Production Issues partnering with production support.
Benefits:
We provide great deal of benefits with excellent base salary and great job stability. Check below for our benefits
1. TN Visa Sponsorship
2. Good Salary package based on the experience
3. Visa fee reimbursement
4. Flight ticket to HeadQuarters location (Hartford, Connecticut) and client location
5. Health Insurance based on the company's policy
6. Access to hundreds of technical trainings to keep your skill sets fresh and have opportunities to acquire certifications on the newest technologies
7. Green Card Sponsorship based on the company's policy
AI-ML Engineer:
Participate in developing Generative AI & Traditional AI Platform Capabilities on enterprise on-prem and cloud platforms.Primary responsibilities include working on vector database, creating index, writing python code for data ingestion, working with content management systems to parse, chunk data. Primary responsibilities also include Vector Database Build on GCP and Azure and building associated data pipeline for Vector Database, Document AI
Required Qualifications:
● Python experience
● big data experience needed (Big Query, Hadoop)
● experience in AIML area (MLOps)
● experience in developing APIs using Python/FastAPI.
● experience in LLM, Generative AI (developing capabilities or dev/ops)
● Good to have Experience in developing of API on GCP/Azure/API Gateways
● Good to have 1+year of experience in Vector Database, Model Development would be added benefit.
Key Responsibilities:
● Participate in developing Generative AI & Traditional AI Platform Capabilities on enterprise on-prem and cloud platforms.
● Primary responsibilities include working on vector database, creating index, writing python code for data ingestion, working with content management systems to parse, chunk data
● Primary responsibilities also include Vector Database Build on GCP and Azure and building associated data pipeline for Vector Database, Document AI
● Responsible for AI model delivery to on-prem infrastructure and cloud platforms (GCP-Vertex AI, Azure ML)
● Building automation capabilities to deploy ML Models and LLM Models on the enterprise on-prem platform and cloud platform.
● Build and Deploy capabilities for automating model scoring/Inferencing of ML models and LLMs.
● Build and Deploy capabilities for data pipeline deployment standardization and model consumption by multiple LOBs.
● Collaborate with product owners, devOps team, data scientists, support teams to define and drive end to end model scoring pipelines.
● Participate in day-to-day standups for platform capability build.
● Provide SME guidance for data science teams on software engineering principles, model deployments, platform capabilities.
● Drive AI use case delivery end to end collaborating with Data scientists, Data Engineers, LOB Technology using standardized platform processes and capabilities.
● Support Production Issues partnering with production support.
Benefits:
We provide great deal of benefits with excellent base salary and great job stability. Check below for our benefits
1. TN Visa Sponsorship
2. Good Salary package based on the experience
3. Visa fee reimbursement
4. Flight ticket to HeadQuarters location (Hartford, Connecticut) and client location
5. Health Insurance based on the company's policy
6. Access to hundreds of technical trainings to keep your skill sets fresh and have opportunities to acquire certifications on the newest technologies
7. Green Card Sponsorship based on the company's policy