Tech Lead TECHM-JOB-30931

Keylent, Inc.

$120K — $150K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in Machine Learning and AI systems
  • Bachelor's degree in Computer Science, Mathematics, or related field
  • Proficiency in server-side programming languages (Python, Ruby, Java, PHP)
  • Experience in front-end technologies (HTML, CSS, JavaScript)
  • Knowledge of Langchain and HuggingFace Models
  • Experience with both structured and unstructured database technologies
  • Certifications in Agile methodologies and cloud architecture

Responsibilities

  • Design and maintain architecture and strategies for software services
  • Collaborate with cross-functional teams to gather requirements
  • Guide integration of architectural development and standards
  • Set direction for hardware and software platforms
  • Develop GenAI use case model pipelines using appropriate technologies
  • Ensure implementation of services meets specifications and operates optimally
  • Engage with industry standards and suppliers to align AT&T requirements

Benefits

  • Opportunities for professional development and certifications
  • Work with innovative technology and solutions
  • Collaborative cross-organizational teamwork
  • Potential for influence on industry standards and best practices
  • Engagement with cutting-edge AI and cloud technologies
Full Job Description
Tech Lead TECHM-JOB-30931
Position :- Gen AI Engineer
Location :- Atlanta GA
Skill:
Machine Learning
Role Description
Responsible for designing and maintaining strategy, architecture, and transition steps for current and new software services and infrastructure as they relate to business solutions.
Apply common services and domain level knowledge of current day-to-day and future operations to guide integration of architectural development, designs and standards.
Work with cross organizational teams to understand the requirements while working with solution architects and delivery teams to ensure services are implemented to specification and operate best in class.
Set directions on the hardware and software platforms and understand how assets can be leveraged to optimize resources while supporting requirements.
May also interact with industry, standards, and suppliers to ensure AT&T requirements are incorporated.
Design and develop GenAI use case model pipeline and other relevant engineer components using appropriate technologies/algorithms.
Have experience with developing and building Large Language Models (LLM), Foundation Models, and AI systems.
Have experience with developing Cloud-native applications and very good understanding of Cloud architecture, technologies, and best practices
Additional Skills :-
Knowledge of Langchain and HuggingFace Model (IBM)
Proficiency with server-side languages such as Python, Ruby, Java, PHP, etc. (NYLIC)
Proficiency with fundamental front-end languages such as HTML, CSS, JQuery, and JavaScript (NYLIC)
Experience with JavaScript frameworks such as Angular JS, React, React with Redux (NYLIC)
Experience with database technologies for structured and unstructured data (NYLIC)
Experience with relevant code repository and project tools such as GitHub, JIRA, Confluence (NYLIC)
Ability to integrate APIs, create automated test cases, perform Unit Testing (UT) and System Integration testing (SIT) (NYLIC)
Working experience with Continuous Integration, Continuous Deployment (NYLIC)
Understanding of existing and emerging web standards such as HTML5 and Mobile (NYLIC)
Demonstrated ability with Application Architecture, best practices and systems engineering industry trends (NYLIC)
Solid understanding of Agile application delivery methodologies and release management activities (NYLIC)
Have experience with large-scale backend platforms powering Client models (Snap)
Certifications:-
Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. (Google, all).
Certification in delivery methodologies such as Scaled Agile (NYLIC)
Certification in data management (structure and unstructured), and/or cloud architecture or engineering (NYLIC)
Strong contribution record with either publications in top peer-reviewed scientific conferences and journals or strong leadership track-record in opens source communities, with a particular focus on foundation models, or large-scale machine learning models. (IBM)

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