AI Architect & Machine Learning Developer for Cloud Native AI Solutions
Posted Today by SherlockTalent
Negotiable
Undetermined
Remote
Remote
Summary: The AI Architect & Machine Learning Developer role focuses on designing and deploying advanced AI solutions, including robust data pipelines and production-ready machine learning models. The position offers flexibility with remote or onsite options and is aimed at candidates with a strong background in AI and machine learning technologies. The selected individual will work collaboratively with cross-functional teams to deliver impactful AI solutions while staying current with emerging trends. This role is ideal for those passionate about large-scale AI challenges and innovative projects.
Key Responsibilities:
- Architect & Implement end-to-end AI pipelines, ensuring robust data ingestion, model training, and deployment.
- Design scalable infrastructure using containers (Docker, Kubernetes) and cloud platforms (AWS, Google Cloud Platform, or Azure).
- Automate CI/CD pipelines for efficient testing, deployment, and monitoring of ML models.
- Collaborate with cross-functional teams (Data Science, DevOps, Product) to deliver impactful AI solutions.
- Stay Current on emerging AI trends and best practices (GPU/TPU acceleration, distributed computing, etc.).
Key Skills:
- Bachelor's or Master's in Computer Science, Engineering, or related field.
- Proficiency with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and programming languages like Python or Golang.
- Experience with MLOps tools (Kubeflow, MLflow, Jenkins) and version control (Git).
- Familiarity with big data (Spark, Hadoop, Kafka) and both SQL/NoSQL databases.
- Strong problem-solving skills and passion for large-scale AI challenges.
Salary: £144,000 yearly
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Title: AI Architect & Machine Learning Developer for Cloud Native AI Solutions
Location: Multiple Locations (Remote or Onsite Options Available)
Job Type: Full-Time or Contract
Salary: From $180K DOE + Great Benefits
Job ID: 7337
Position Overview
SherlockTalent is working with an esteemed client on the forefront of AI innovations to fill this AI Architect & Machine Learning Developer role. The selected individual will design and deploy advanced AI solutions from robust data pipelines to production-ready ML models.
Key Responsibilities
- Architect & Implement end-to-end AI pipelines, ensuring robust data ingestion, model training, and deployment.
- Design scalable infrastructure using containers (Docker, Kubernetes) and cloud platforms (AWS, Google Cloud Platform, or Azure).
- Automate CI/CD pipelines for efficient testing, deployment, and monitoring of ML models.
- Collaborate with cross-functional teams (Data Science, DevOps, Product) to deliver impactful AI solutions.
- Stay Current on emerging AI trends and best practices (GPU/TPU acceleration, distributed computing, etc.).
Qualifications
- Bachelor s or Master s in Computer Science, Engineering, or related field.
- Proficiency with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and programming languages like Python or Golang.
- Experience with MLOps tools (Kubeflow, MLflow, Jenkins) and version control (Git).
- Familiarity with big data (Spark, Hadoop, Kafka) and both SQL/NoSQL databases.
- Strong problem-solving skills and passion for large-scale AI challenges.
Why Join
- Contribute to innovative AI projects shaping multiple industries.
- Enjoy competitive compensation and flexible engagement options.
- Access a global network of like-minded professionals and continuous learning opportunities.
Not for you? SherlockTalent offers a $1000 referral bonus for successful placements into this role. Include your name in the Referral Source field on the application.