Lead the development of advanced AI and machine learning solutions at Sigma Computing, revolutionizing data analytics for enterprise clients. Collaborate with cross-functional teams to build scalable ML models that drive actionable insights and business growth.

Sigma Computing is at the forefront of transforming how enterprises analyze and visualize their data. As a Senior AI/ML Engineer, you will play a pivotal role in enhancing our platform with cutting-edge artificial intelligence and machine learning capabilities.

Key Responsibilities:

• Architect and implement end-to-end ML pipelines for predictive analytics, natural language processing, and anomaly detection features.
• Collaborate with data scientists, product managers, and engineers to define ML requirements and integrate models into our cloud-native platform.
• Optimize models for performance, scalability, and low latency in production environments.
• Conduct experiments, A/B testing, and model monitoring to ensure high accuracy and reliability.
• Mentor junior engineers and contribute to the AI/ML best practices within the team.
• Stay abreast of the latest advancements in AI/ML and propose innovative solutions to business challenges.

Why Sigma Computing?

Join a rapidly growing company backed by top-tier investors, where your work directly impacts thousands of users worldwide. We value innovation, ownership, and work-life balance, offering a fully remote-certified environment with all the tools you need to succeed.

If you're passionate about AI/ML and want to build the future of data intelligence, apply now!

• 5+ years of experience in AI/ML engineering, with a strong focus on production-grade systems
• Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or scikit-learn
• Expertise in designing, training, and deploying ML models at scale, including experience with cloud platforms (AWS, GCP, or Azure)
• Strong knowledge of data pipelines, feature engineering, and model optimization techniques
• Experience with MLOps tools (e.g., Kubeflow, MLflow, Airflow) and containerization (Docker, Kubernetes)
• Bachelor's or Master's degree in Computer Science, Statistics, or a related field
• Excellent problem-solving skills and ability to work in a fast-paced environment
• Familiarity with big data technologies (Spark, Hadoop) is a plus

• Competitive monthly salary in the range of 18,000 - 28,000 USD
• Comprehensive health, dental, and vision insurance
• Unlimited PTO and flexible remote work policy
• Stock options and performance bonuses
• Professional development stipend for courses and certifications
• Home office setup allowance
• Collaborative and innovative team culture with regular team-building events