Tykhe Inc
Role Overview
We are seeking a
Senior
or
Staff AI/ML Engineer
for one of our fast-growing start-up clients in Bay area, CA to design, develop, and deploy AI-driven solutions that solve real-world problems at scale. You will develop machine learning models, algorithms, fine-tune large language models (LLMs), and implement other AI functionalities while optimizing performance for production environments. This role requires deep expertise in model architectures, AI/ML frameworks, cloud platforms, and software engineering best practices. For the Staff position, you must possess T-shaped skills to develop end-to-end solutions. This includes selecting and developing appropriate AI models down to the layer architecture, designing modularized training and inference methods, architecting Agentic workflows, and implementing production-level code with thorough testing. Experience mentoring junior Data Scientists and/or AI/ML Engineers is highly desired. Key Responsibilities
Design, develop, and deploy AI/ML models ranging from traditional ML regression algorithms to transformer-based architectures. Train, fine-tune, and optimize deep learning and LLM-based solutions. Engage with customers to understand their needs and transform them into actionable tasks for developing new functionalities within the clients platform. Collaborate with researchers, software engineers, and product teams to integrate new AI capabilities into our applications. Implement and evaluate state-of-the-art automated testing and metrics to improve model accuracy and efficiency. Optimize models for both cloud and on-premises environments to ensure low latency and high availability. Develop APIs and micro-services to serve AI models in production. Stay current with the latest AI models, research, and best practices. Ensure ethical AI practices, data privacy, and security compliance. Required Qualifications
Masters
or
PhD
in Computer Science, AI, Machine Learning, or equivalent engineering field. 8+ years
of experience in AI/ML modeling development and deployment for the Senior role,
10+ years
for the
Staff
role. Expert-level programming skills in
Python
and ML frameworks like
PyTorch . Experience with
LLMs , NLP, computer vision, or reinforcement learning. Experience with ML modeling for multi-dimensional, large time-series datasets. Strong proficiency in containerization technologies including Docker and Kubernetes. Proficiency in data preprocessing and model evaluation techniques, as well as MLOps tools like MLflow and Kubeflow. 3+ years of experience with distributed computing frameworks (Spark, Ray, Dask). Experience deploying AI models on major cloud providers ( AWS, GCP, or Azure ). Excellent communication and teamwork skills. Preferred Qualifications
Experience as a technical lead, guiding junior engineers and data scientists throughout product lifecycles, from proof of concept to model deployment. Experience in
multi-cloud AI deployments . Experience working on
AI SaaS platforms .
#J-18808-Ljbffr
We are seeking a
Senior
or
Staff AI/ML Engineer
for one of our fast-growing start-up clients in Bay area, CA to design, develop, and deploy AI-driven solutions that solve real-world problems at scale. You will develop machine learning models, algorithms, fine-tune large language models (LLMs), and implement other AI functionalities while optimizing performance for production environments. This role requires deep expertise in model architectures, AI/ML frameworks, cloud platforms, and software engineering best practices. For the Staff position, you must possess T-shaped skills to develop end-to-end solutions. This includes selecting and developing appropriate AI models down to the layer architecture, designing modularized training and inference methods, architecting Agentic workflows, and implementing production-level code with thorough testing. Experience mentoring junior Data Scientists and/or AI/ML Engineers is highly desired. Key Responsibilities
Design, develop, and deploy AI/ML models ranging from traditional ML regression algorithms to transformer-based architectures. Train, fine-tune, and optimize deep learning and LLM-based solutions. Engage with customers to understand their needs and transform them into actionable tasks for developing new functionalities within the clients platform. Collaborate with researchers, software engineers, and product teams to integrate new AI capabilities into our applications. Implement and evaluate state-of-the-art automated testing and metrics to improve model accuracy and efficiency. Optimize models for both cloud and on-premises environments to ensure low latency and high availability. Develop APIs and micro-services to serve AI models in production. Stay current with the latest AI models, research, and best practices. Ensure ethical AI practices, data privacy, and security compliance. Required Qualifications
Masters
or
PhD
in Computer Science, AI, Machine Learning, or equivalent engineering field. 8+ years
of experience in AI/ML modeling development and deployment for the Senior role,
10+ years
for the
Staff
role. Expert-level programming skills in
Python
and ML frameworks like
PyTorch . Experience with
LLMs , NLP, computer vision, or reinforcement learning. Experience with ML modeling for multi-dimensional, large time-series datasets. Strong proficiency in containerization technologies including Docker and Kubernetes. Proficiency in data preprocessing and model evaluation techniques, as well as MLOps tools like MLflow and Kubeflow. 3+ years of experience with distributed computing frameworks (Spark, Ray, Dask). Experience deploying AI models on major cloud providers ( AWS, GCP, or Azure ). Excellent communication and teamwork skills. Preferred Qualifications
Experience as a technical lead, guiding junior engineers and data scientists throughout product lifecycles, from proof of concept to model deployment. Experience in
multi-cloud AI deployments . Experience working on
AI SaaS platforms .
#J-18808-Ljbffr