Code Reviewer for LLM Data Training (SQL) Job at G2i Inc.

Sr. SWE for Code Reviewing LLM Data Training (SQL)

We are looking for a Code Reviewer with expertise in SQL to join our AI training...

Location

Salary:

Not provided

G2i Inc.

Expiration Date

Until further notice

Requirements

5–7+ years of experience in SQL development, QA, or code review
Strong understanding of core SQL concepts and development best practices
Experience with debugging, testing tools, and code execution environments
Strong analytical and critical thinking skills
Excellent written communication for documenting evaluations and feedback
English proficiency at B2, C1, C2, or Native level

Job Responsibility

Audit annotator evaluations of AI-generated SQL responses
Verify if responses follow prompt requirements regarding query logic, joins, and correct SQL syntax
Evaluate SQL code for correctness, performance, security, and readability
Run and validate proof-of-work code submitted by annotators to confirm functionality
Ensure responses align with instruction-following expectations including style, tone, and clarity
Identify and document errors, omissions, or rating inconsistencies
Provide clear, constructive QA feedback based on rubric and guideline criteria
Collaborate with internal teams for clarifications on complex or ambiguous items

Senior Director, Data Science

The Senior Director of Data Science will set and drive the enterprise-wide visio...

Location

United States

Salary:

135700.00 - 278300.00 USD / Year

One Call

Expiration Date

Until further notice

Requirements

Bachelor’s degree (B.A. or B.S.) in Statistics, Mathematics, Computer Science, or related quantitative field
advanced degree preferred
10+ years of experience in data science, with several years in senior leadership roles managing larger teams and enterprise-level projects
Strong problem-solving skills with an emphasis on product development and business impact
Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
Excellent written and verbal communication skills for coordinating across teams and influencing senior stakeholders
A drive to learn and master new technologies and techniques
Demonstrated ability to develop and drive strategies that enhance business performance, with proven results at the enterprise level

Job Responsibility

Set and drive the enterprise-wide data science vision, ensuring alignment with executive leadership and long-term business objectives
Architect and oversee technical strategy for all data science initiatives, championing innovation in AI/ML methodologies and platforms
Lead the design, development, and deployment of ML models, focusing on advanced techniques such as Natural Language Processing (NLP), generative AI, and automation
Own the development and governance of a modern data platform for all data consumers
Lead LLM integration projects to automate manual processes and improve operational efficiency
Stay current with emerging technology trends and represent the organization in external forums, conferences, and industry groups
Collaborate with senior leaders across IT, Product, Operations, Marketing, and other business units to identify and execute high-impact, cross-functional data initiatives
Drive AI solutions for automation, decision intelligence, and enhanced customer experience
Translate complex data insights into actionable business strategies and measurable outcomes
Manage larger, multi-disciplinary teams, mentoring and developing future leaders within the data science organization

What we offer

Remote Work: We are a remote-first company, and almost all positions receive the flexibility of working from home
Generous Time Off: Besides 8 company holidays and 2 personal days every year, all colleagues receive a minimum of 18 days of paid time off
Comprehensive Benefits Package: Including medical, dental, vision, and pet insurance
401(k) matching program
and company-paid life insurance and short and long-term disability coverage
Supportive Services: We offer a Colleague Assistance Program that provides free counseling and financial services, and our One Call Foundation, a non-profit arm of our company, provides colleagues financial assistance during times of unexpected hardships

Fulltime

New

Senior ML Engineer with GenAI

As a Senior ML Engineer at Provectus, you'll be responsible for designing, devel...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

Senior ML Engineer (GenAI)

As a Senior ML Engineer at Provectus, you'll be responsible for designing, devel...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

Senior ML Engineer (GenAI)

As a Senior ML Engineer at Provectus, you'll be responsible for designing, devel...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

New

Machine Learning Intern

Ema is building next-generation AI to empower every employee in the enterprise t...

Location

United States , San Francisco Bay Area

Salary:

Not provided

Ema

Expiration Date

Until further notice

Requirements

2+ years of industry experience in a software engineering, data science, or ML role (full-time or internship)
Strong coding skills in Python and experience with ML frameworks like PyTorch or TensorFlow
A solid foundation in data structures, algorithms, and software engineering principles
Exposure to NLP, deep learning, reinforcement learning, or retrieval systems
Experience working with real-world data, and comfort with SQL and data processing pipelines
Curiosity about MLOps, cloud infrastructure, and scaling ML models
A collaborative mindset, eagerness to learn, and the ability to thrive in a fast-paced environment

Job Responsibility

Work alongside senior ML engineers to research, build, and deploy machine learning models across NLP, retrieval, ranking, and reasoning
Prototype and experiment with LLM-based architectures and agentic systems
Help process and analyze large-scale structured and unstructured datasets
Build data pipelines, contribute to model training and evaluation, and participate in the deployment of models in production
Assist with validation experiments such as A/B testing and other evaluation methods to ensure robustness and reliability
Collaborate closely with cross-functional teams and participate in technical discussions and code reviews

Fulltime

New

Staff Software Engineer - AI/ML Infra

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Palo Alto

Salary:

90000.00 - 300000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

New

Staff Software Engineer - AI/ML Platform

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Chevy Chase; New York City; Palo Alto

Salary:

115000.00 - 300000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Code Reviewer for LLM Data Training (SQL)

G2i Inc.

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 18, 2026

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