About KYFEX: KYFEX is a leading AI consulting firm, dedicated to harnessing the power of artificial intelligence to revolutionize business operations across the globe. Our expertise in Large Language Models (LLMs) positions us at the cutting edge of AI technology, enabling us to offer unparalleled solutions to our clients. As we continue to grow, we're seeking a talented Remote Staff Data Scientist to enhance our capabilities in the LLM for Insights and contribute to our mission of transforming data into actionable insights. Job Responsibilities: Lead the development and implementation of state-of-the-art language models using transformer architectures and reinforcement learning techniques. Conduct research and experimentation to improve model accuracy, efficiency, and scalability. Collaborate with cross-functional teams to integrate AI models into practical solutions for diverse business challenges. Utilize advanced data analytics and machine learning techniques to extract insights from large datasets. Stay abreast of the latest advancements in AI, machine learning, and data science, and evaluate their applicability to ongoing projects. Mentor junior data scientists and engineers, fostering a culture of innovation and continuous learning. Present findings and progress to stakeholders, translating complex technical details into actionable business insights. Minimum Requirements: Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Ph.D. preferred. 5+ years of experience in data science or AI research, with a focus on language modeling and reinforcement learning. Strong proficiency in Python and familiarity with AI/ML frameworks such as TensorFlow or PyTorch. Demonstrated experience with transformer models and NLP techniques. Solid understanding of reinforcement learning algorithms and their applications. Experience with large-scale data processing and analysis. Excellent problem-solving skills and the ability to work independently in a remote environment. Preferred Skills: Publications in relevant AI/ML conferences or journals. Experience with cloud computing platforms (AWS, Google Cloud, or Azure) for deploying AI models. Knowledge of data privacy and ethical AI principles. Proven track record of leading AI projects from conception to deployment. Exceptional communication skills, with the ability to mentor team members and collaborate effectively across teams. Why Join KYFEX? Work at the forefront of AI technology with a team of experts passionate about innovation. Enjoy the flexibility and benefits of a fully remote position. Engage in challenging and meaningful projects that have a real-world impact. Benefit from a culture of continuous learning, professional development, and collaborative achievement. To Apply: Interested candidates are invited to submit their resume, a cover letter detailing their experience with LLMs, and any relevant project samples or GitHub links to careers@kyfex.com with "Remote Staff Data Scientist Application" as the subject line. KYFEX is committed to diversity and inclusion and encourages applications from all qualified individuals, including those from diverse backgrounds and underrepresented groups.
About KYFEX: KYFEX is a leading AI consulting firm, dedicated to harnessing the power of artificial intelligence to revolutionize business operations across the globe. Our expertise in Large Language Models (LLMs) positions us at the cutting edge of AI technology, enabling us to offer unparalleled solutions to our clients. As we continue to grow, we're seeking a Remote Senior Software Engineer to join our innovative team and contribute to our cutting-edge projects. Job Responsibilities: Develop and implement advanced language models using transformer architectures. Apply reinforcement learning techniques to improve the performance and efficiency of AI models. Collaborate with AI researchers and data scientists to design and optimize AI solutions. Contribute to the entire model development lifecycle, from research and experimentation to deployment. Troubleshoot and improve existing AI models and architectures for enhanced performance. Stay updated on the latest AI research and technologies, incorporating them into KYFEX's solutions. Write clean, maintainable, and efficient code for various AI projects. Document development processes, model architectures, and evaluation metrics. Minimum Requirements: Bachelor’s degree in Computer Science, Artificial Intelligence, or related field. 5+ years of software engineering experience, with a strong background in AI and machine learning. Proficient in programming languages relevant to AI development, such as Python. Hands-on experience with transformer architectures and language modeling. Demonstrated knowledge and application of reinforcement learning techniques. Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). Experience with deploying AI models in production environments. Strong problem-solving skills and ability to work independently. Preferred Skills: Master’s or Ph.D. in a relevant field. Experience with NLP (Natural Language Processing) and understanding of NLP data preprocessing techniques. Proficiency in working with large-scale datasets and distributed computing technologies. Knowledge of cloud computing platforms (AWS, Google Cloud, or Azure) for AI development and deployment. Excellent communication skills, with the ability to collaborate effectively in a remote team environment. Why Join KYFEX? Work at the forefront of AI technology with a team of experts passionate about innovation. Enjoy the flexibility and benefits of a fully remote position. Engage in challenging and meaningful projects that have a real-world impact. Benefit from a culture of continuous learning, professional development, and collaborative achievement. To Apply: Interested candidates are invited to submit their resume, a cover letter detailing their experience with LLMs, and any relevant project samples or GitHub links to careers@kyfex.com with "Remote Senior Software Engineer Application" as the subject line. KYFEX is committed to diversity and inclusion and encourages applications from all qualified individuals, including those from diverse backgrounds and underrepresented groups.
About KYFEX: KYFEX is a leading AI consulting firm, dedicated to harnessing the power of artificial intelligence to revolutionize business operations across the globe. Our expertise in Large Language Models (LLMs) positions us at the cutting edge of AI technology, enabling us to offer unparalleled solutions to our clients. As we continue to grow, we're seeking a skilled Remote LLM Engineer to join our dynamic team and contribute to our mission of driving innovation and excellence in AI. Job Responsibilities: Design, develop, and deploy advanced LLMs to meet the specific needs of our diverse client base. Collaborate with clients to understand their business challenges and tailor LLM solutions that provide strategic advantages. Stay abreast of developments in the field of LLMs and apply the latest research and techniques to our projects. Work closely with data scientists and engineers to integrate LLMs into broader AI solutions. Conduct thorough testing and validation to ensure the accuracy and reliability of LLM implementations. Optimize LLM performance for various computational environments, including cloud and edge computing platforms. Document all aspects of LLM development processes, including model architecture, training procedures, and deployment strategies. Provide technical guidance and support for LLM-related queries from clients and team members. Minimum Requirements: Bachelor's degree in Computer Science, AI, Linguistics, or a related technical field. 3+ years of hands-on experience in developing and deploying Large Language Models. Proficiency in Python, including experience with NLP libraries (e.g., Hugging Face Transformers, NLTK, spaCy). Strong understanding of neural network architectures, particularly those relevant to LLMs (e.g., Transformers). Demonstrated ability to work independently in a remote setting, managing projects from conception to completion. Excellent problem-solving skills and a detail-oriented mindset. Preferred Skills: Master's or Ph.D. in a relevant field. Experience with cloud services (AWS, Google Cloud, Azure) and ML deployment tools (Docker, Kubernetes). Familiarity with model fine-tuning and optimization techniques for LLMs. Proven track record of innovative solutions in the field of LLMs, evidenced by publications, patents, or software contributions. Strong communication skills, with the ability to explain complex AI concepts to non-expert audiences. Why Join KYFEX? Work at the forefront of AI technology with a team of experts passionate about innovation. Enjoy the flexibility and benefits of a fully remote position. Engage in challenging and meaningful projects that have a real-world impact. Benefit from a culture of continuous learning, professional development, and collaborative achievement. To Apply: Interested candidates are invited to submit their resume, a cover letter detailing their experience with LLMs, and any relevant project samples or GitHub links to careers@kyfex.com with "Remote LLM Engineer Application" as the subject line. KYFEX is committed to diversity and inclusion and encourages applications from all qualified individuals, including those from diverse backgrounds and underrepresented groups.
About KYFEX: KYFEX is a leading AI consulting firm, dedicated to harnessing the power of artificial intelligence to revolutionize business operations across the globe. Our expertise in Large Language Models (LLMs) positions us at the cutting edge of AI technology, enabling us to offer unparalleled solutions to our clients. As we continue to grow, we're seeking a skilled Remote Principal Data Engineer to lead our efforts in managing and optimizing data processes for LLM training. Job Responsibilities: Lead the design and implementation of scalable data pipelines for the training of open-source LLMs. Work closely with AI researchers and engineers to understand data requirements and ensure efficient data processing for AI model training. Develop and maintain robust data storage solutions, ensuring data integrity, security, and compliance. Optimize data retrieval and processing techniques to reduce training time and improve model performance. Implement monitoring, logging, and alert systems to ensure high availability and performance of data systems. Collaborate with cross-functional teams to integrate LLM solutions into client projects, providing expert advice on data engineering best practices. Stay abreast of the latest developments in data engineering and LLM technologies, continuously improving KYFEX’s data strategies. Minimum Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience in data engineering, with a proven track record of building and managing large-scale data pipelines. Strong proficiency in programming languages such as Python or Scala. Extensive experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud services (AWS, Google Cloud, Azure). Demonstrated experience in data modeling, ETL development, and data warehousing. Knowledge of machine learning concepts and experience supporting data needs for AI/ML projects. Excellent problem-solving skills and the ability to work independently in a fully remote environment. Preferred Skills: Master’s degree or Ph.D. in a related field. Experience with open-source LLMs and understanding of NLP data processing. Familiarity with containerization and orchestration technologies (Docker, Kubernetes). Experience in implementing data security and privacy practices. Strong communication skills, with the ability to lead teams and collaborate effectively with stakeholders. Why Join KYFEX? Work at the forefront of AI technology with a team of experts passionate about innovation. Enjoy the flexibility and benefits of a fully remote position. Engage in challenging and meaningful projects that have a real-world impact. Benefit from a culture of continuous learning, professional development, and collaborative achievement. To Apply: Interested candidates are invited to submit their resume, a cover letter detailing their experience with LLMs, and any relevant project samples or GitHub links to careers@kyfex.com with "Remote Principal Data Engineer Application" as the subject line. KYFEX is committed to diversity and inclusion and encourages applications from all qualified individuals, including those from diverse backgrounds and underrepresented groups.
About KYFEX: KYFEX is a leading AI consulting firm, dedicated to harnessing the power of artificial intelligence to revolutionize business operations across the globe. Our expertise in Large Language Models (LLMs) and AI infrastructure positions us at the cutting edge of AI technology, enabling us to offer unparalleled solutions to our clients. As we continue to grow, we're seeking a skilled Remote AWS Infrastructure/DevOps Engineer to join our dynamic team and contribute to our mission of delivering scalable, secure, and reliable AI infrastructure solutions. Job Responsibilities: Design, implement, and manage scalable AWS infrastructure to support LLM deployments and AI workloads for our diverse client base. Build and maintain CI/CD pipelines for automated deployment of AI models and applications across multiple environments. Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or CDK to ensure reproducible and version-controlled infrastructure. Optimize cloud infrastructure costs while maintaining high performance for compute-intensive AI/ML workloads. Design and implement robust monitoring, logging, and alerting systems to ensure 99.99% uptime for production AI services. Collaborate with ML engineers and data scientists to containerize and orchestrate AI models using Docker and Kubernetes/EKS. Implement security best practices, including network segmentation, IAM policies, and compliance frameworks (SOC2, HIPAA, FedRAMP) for enterprise clients. Manage and optimize GPU-enabled infrastructure for training and inference of large language models. Develop disaster recovery strategies and implement backup solutions for critical AI infrastructure and model artifacts. Automate operational tasks and create self-healing systems to reduce manual intervention. Minimum Requirements: Bachelor's degree in Computer Science, Engineering, or a related technical field. 4+ years of hands-on experience with AWS services, particularly EC2, ECS/EKS, Lambda, S3, RDS, and VPC. Strong expertise in Infrastructure as Code tools (Terraform, CloudFormation, or AWS CDK). Proficiency in scripting languages (Python, Bash) and automation frameworks. Solid experience with containerization (Docker) and orchestration platforms (Kubernetes). Deep understanding of CI/CD principles and tools (Jenkins, GitLab CI, GitHub Actions, or AWS CodePipeline). Experience with monitoring and observability tools (CloudWatch, Prometheus, Grafana, DataDog, or New Relic). Strong understanding of networking concepts, security best practices, and Linux system administration. Demonstrated ability to work independently in a remote setting, managing complex infrastructure projects. Preferred Skills: AWS certifications (Solutions Architect, DevOps Engineer, or Security Specialty). Experience with ML/AI infrastructure, including GPU instance management and ML platforms (SageMaker, MLflow). Familiarity with serverless architectures and event-driven systems. Experience with HashiCorp tools (Vault, Consul, Packer). Knowledge of database administration (PostgreSQL, MongoDB, Redis) and data streaming technologies (Kafka, Kinesis). Experience implementing air-gapped or hybrid cloud solutions for high-security environments. Understanding of FinOps practices and cloud cost optimization strategies. Experience with GitOps workflows and tools (ArgoCD, Flux). Strong communication skills, with the ability to document complex infrastructure designs and explain technical concepts to diverse stakeholders. Why Join KYFEX? Work at the forefront of AI technology with a team of experts passionate about innovation. Enjoy the flexibility and benefits of a fully remote position. Build infrastructure that powers cutting-edge AI solutions with real-world impact. Benefit from a culture of continuous learning, professional development, and collaborative achievement. To Apply: Interested candidates are invited to submit their resume, a cover letter detailing their experience with AWS infrastructure and DevOps practices, and any relevant project samples or GitHub links to careers@kyfex.com with "Remote AWS Infrastructure/DevOps Engineer Application" as the subject line. KYFEX is committed to diversity and inclusion and encourages applications from all qualified individuals, including those from diverse backgrounds and underrepresented groups.
About KYFEX: KYFEX is a leading AI consulting firm, dedicated to harnessing the power of artificial intelligence to revolutionize business operations across the globe. Our expertise in data analytics and growth optimization positions us at the cutting edge of mobile app and SaaS growth strategies, enabling us to offer unparalleled solutions to our clients. As we continue to grow, we're seeking a skilled Remote Growth Analyst to join our dynamic team as a contractor and contribute to our mission of driving data-driven growth and excellence. Job Responsibilities: Conduct comprehensive cohort analysis using AppsFlyer data to track user acquisition, retention, and revenue performance across different user segments and acquisition channels. Calculate and monitor key growth metrics including Customer Lifetime Value (LTV), Return on Investment (ROI), ROAS, payback periods, and customer acquisition costs (CAC). Build and maintain advanced attribution models to measure marketing campaign effectiveness and optimize budget allocation across channels. Collaborate with data engineers to design, optimize, and maintain data pipelines that process AppsFlyer raw data for analytical purposes. Develop complex SQL queries in Snowflake to extract, transform, and analyze large datasets for growth insights. Create and maintain interactive dashboards in Metabase to visualize key performance metrics and provide self-service analytics for stakeholders. Design and execute A/B testing frameworks to evaluate the impact of product changes and marketing campaigns on growth metrics. Partner with client teams (marketing, product, finance) to optimize campaigns, identify growth features, and align analytics with business planning. Conduct market research and competitive analysis to identify growth opportunities and benchmark performance. Create predictive models to forecast user behavior, revenue projections, and campaign performance. Minimum Requirements: Bachelor's degree in Data Science, Statistics, Economics, Business Analytics, Marketing Analytics, or a related quantitative field. 3+ years of proven experience as a Growth Analyst, Marketing Analyst, or similar analytical role, preferably in mobile app or SaaS environments. Expert-level proficiency in SQL for complex data manipulation and analysis, with specific experience in Snowflake data warehousing. Advanced experience with Metabase for creating interactive dashboards and self-service analytics solutions. Demonstrated experience with mobile attribution platforms, with specific expertise in AppsFlyer data analysis and reporting. Strong proficiency in statistical analysis, cohort analysis, and predictive modeling techniques. Deep understanding of mobile app growth metrics including LTV, CAC, ROAS, retention rates, and revenue attribution models. Proficiency in Python or R for advanced analytics and statistical modeling. Experience with A/B testing methodologies, experimental design, and statistical significance testing. Experience working as a contractor or consultant, with ability to quickly integrate into client teams and deliver results. Preferred Skills: Master's degree in a relevant quantitative field. Experience with additional BI tools (Tableau, Looker, Power BI) and cloud platforms (AWS, GCP, Azure). Knowledge of ETL processes, data pipeline development, and workflow orchestration tools like Apache Airflow. Experience with machine learning techniques for predictive analytics and customer behavior modeling. Previous experience in mobile gaming, e-commerce, fintech, or other high-growth mobile app industries. Knowledge of additional mobile analytics platforms (Adjust, Branch, Singular) and customer data platforms (CDPs). Understanding of incrementality testing, media mix modeling, and privacy-first measurement approaches (SKAdNetwork). Familiarity with data privacy regulations (GDPR, CCPA) and their impact on analytics and attribution. Previous consulting experience with successful client engagements and proven track record of driving data-driven decisions. Strong presentation and communication skills with ability to translate complex insights to non-technical stakeholders. Why Join KYFEX? Work at the forefront of growth analytics with a team of experts passionate about data-driven innovation. Enjoy the flexibility and benefits of a fully remote contractor position. Make immediate impact on growth initiatives while working with cutting-edge analytics technologies. Gain exposure to diverse industries and build long-term relationships in the mobile app analytics space. Benefit from a culture of continuous learning, professional development, and collaborative achievement. To Apply: Interested candidates are invited to submit their resume, a cover letter detailing their experience with growth analytics and mobile attribution platforms, and any relevant case studies or portfolio samples to careers@kyfex.com with "Remote Growth Analyst Application" as the subject line. KYFEX is committed to diversity and inclusion and encourages applications from all qualified individuals, including those from diverse backgrounds and underrepresented groups.