Job description
About Our Client
Our client, a fast-growing data distribution strategy company, has recently secured $5M in funding to revolutionize AI-driven data infrastructure. They are building a global team to develop cutting-edge solutions for seamless, secure, and scalable data exchange.
They are seeking a Machine Learning Engineer to help design, train, and deploy high-performance ML models that drive intelligent automation, predictive analytics, and data optimization. This is an opportunity to join a well-funded startup at the forefront of AI and data strategy.
What You’ll Do
- Develop & Deploy ML Models – Design and optimize machine learning models for data distribution, anomaly detection, and predictive analytics.
- Build Scalable ML Pipelines – Implement end-to-end data processing workflows for real-time and batch inference using Python, TensorFlow, PyTorch, and cloud-based ML platforms.
- Optimize Data Processing – Work with large-scale datasets using Spark, Dask, or Ray to enhance data ingestion, transformation, and storage efficiency.
- Integrate ML into Production Systems – Deploy ML models into production using APIs, microservices, and containerized environments (Docker, Kubernetes).
- Experiment & Innovate – Stay ahead of ML advancements, test new approaches, and improve model performance for accuracy, efficiency, and scalability.
What Our Client is Looking For
- 3+ years of experience in machine learning, deep learning, or AI model development.
- Strong Python skills – Proficiency in TensorFlow, PyTorch, Scikit-learn, and NumPy.
- Experience with big data frameworks (Spark, Dask, Kafka, or Ray).
- Cloud expertise – Hands-on experience with AWS SageMaker, GCP Vertex AI, or Azure ML.
- Database & Data Processing – Familiarity with SQL, NoSQL, and distributed data storage (Snowflake, BigQuery, MongoDB, or Redis).
- MLOps & Deployment – Experience with Docker, Kubernetes, and CI/CD pipelines for ML model deployment.
- Strong problem-solving and research skills – Ability to optimize ML models for real-world applications.
Why Join Our Client?
✅ $5M in funding – Be part of a well-funded, high-growth AI startup.
✅ Cutting-Edge ML Work – Build AI-driven data infrastructure shaping the future of data distribution strategy.
✅ Top-Tier Compensation – Competitive salaries in the top 5% to 1% market range.
✅ Fully Remote & Global Team – Work with elite engineers from around the world.
✅ High-Performance Culture – No micromanagement, no bureaucracy—just results-driven innovation.
📩 Apply Now – Send your resume, GitHub, and any ML projects you’ve worked on.
