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3 Days Left Lead Applied Scientist

1 month ago

Rajkot, Gujarat, India RoleChain Full time
Job Description:

We are seeking an experienced Lead Applied Scientist to drive our AI Agents initiative, focusing on enhancing the reliability of RoleChain AI through innovative machine learning solutions. You will lead a dedicated team in creating advanced anomaly detection systems from system logs, ensuring high performance, scalability, and seamless integration.

Qualifications:

Extensive Experience:

- 7-10 years in machine learning engineering, with a strong emphasis on deploying models in production environments.

Technical Expertise:

- Proficient in Python and deep learning frameworks like PyTorch and TensorFlow.
- Skilled in time-series data analysis, feature engineering, and model optimization.

Cloud & Containerization:

- Experienced with cloud platforms (GCP, AWS), container technologies (Docker, Kubernetes), and microservices.
- A proven record of deploying ML models in cloud environments and developing autonomous AI agents.

Anomaly Detection Expertise:

- Specialization in designing and implementing anomaly detection for system logs.
- Expert in applying statistical methods, ML algorithms, and signal processing for anomaly detection.

Problem-Solving Skills:

- Adept at proactive problem identification and resolution.
- Experienced in optimizing and troubleshooting ML systems.

Leadership Skills:

- Demonstrated ability to lead and mentor junior staff.
- Excellent communication for cross-functional collaboration and technical presentations.

Educational Background:

- Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or similar.

Adaptability:

- Thrives in dynamic settings, managing multiple projects.
- Committed to ongoing learning and staying current with tech trends.

Responsibilities:

Lead ML Model Development:

- Oversee the design, development, and validation of ML models for anomaly detection in logs.

Scalable Solution Architecture:

- Architect solutions for real-time prediction and resolution, focusing on scalability and fault tolerance.

Model Optimization:

- Fine-tune models for precision and recall, using advanced optimization techniques.

Mentorship & Collaboration:

- Guide junior engineers, fostering best practices in ML and system integration.

Continuous Learning & Innovation:

- Stay at the forefront of AI and ML advancements to enhance our methodologies.

System Integration:

- Collaborate with DevOps for effective model deployment into production systems.

Documentation & Reporting:

- Maintain comprehensive documentation and provide regular updates to leadership.

Projects You'll Work On:

- Advanced AI Agent Architecture: Designing multi-agent systems for enhanced decision-making.
- Large-Scale RAG Systems: Optimizing retrieval-augmented generation for enterprise knowledge management.
- Model Optimization & Deployment: Employing methods like LoRA and Prompt Tuning for model customization.
- Scalable AI Infrastructure: Developing cloud-native solutions for AI operations.
- Enterprise Security & Compliance: Ensuring AI systems meet security and compliance standards.

Impact:

- Innovation Leadership: Shape the future of AI within the enterprise.
- Product Development: Directly impact RoleChain AI with your innovations.
- Team Growth: Mentor and grow with the AI team.
- Open Source Contribution: Establish leadership through open-source contributions.
- Technical Growth: Engage with cutting-edge technology.

What We Offer:

- Competitive salary and benefits package.
- Opportunities for career growth and professional development.
- A culture of innovation and collaboration.
- Flexible remote work options.

How to Apply:

Please submit your resume, a cover letter explaining your relevant experience, and links to your GitHub or relevant projects.