KR58-India LLM Engineer

Department: Backend Development

Employment Type: Permanent - Full Time

Location: Remote (Asia)

Reporting To: Chief Product Officer

Description

Overview:
CCL builds high quality automation frameworks and bespoke software solutions for firms, with an aim to help organizations improve their operational processes and reduce overall risk and increase efficiency. Another key objective of CCL is to enable greater transparency for firms and regulators. CCL is also passionate about removing waste and making things simple.
At CCL, we think it is just as important that you feel that we are the right company for you, as well as you being right for us. So we want to share our company values with you. These values were created as a collaborative effort between our employees and are integral to our company. These behaviors underpin everything we do and help create a positive culture within CCL. Read more on the Cybernetic Controls website.

Our client
We are a multi-award winning Regtech company on a mission to transform the quality of regulatory reporting in the financial services industry. We've combined regulatory expertise with advanced technology to develop our market-leading quality assurance services. Unique in being able to fully assess data quality, our services are used by some of the world's largest investment banks, asset managers, hedge funds and brokers, helping them to reduce costs, improve quality and increase confidence in their regulatory reporting.

Summary: This is a chance to join a growing company in an area of immense growth and opportunity. If you are keen to grow, this is your opportunity.

We are seeking a highly motivated and skilled LLM Engineer to join our dynamic team. The LLM Engineer will play a crucial role in driving the development and success of our product by taking initiative, embracing a positive go-getter attitude, and demonstrating a willingness to explore and experiment with novel solutions. The ideal candidate should be comfortable working in a fast-paced, innovative environment, and possess experience with LLMs, data science, and cloud experimentation.

Key Responsibilities

1. Initiative and Drive:

• Demonstrate a proactive approach to taking ownership of projects and tasks related to LLM development
• Show a strong desire to push the product forward and deliver high-quality solutions within the set timelines

2. Comfort with the Unknown:

• Thrive in an environment where uncertainty and ambiguity are common
• Adapt quickly to changing requirements and be resourceful in finding solutions when faced with novel challenges

3. Experiment Mindset:

• Employ a data-driven and experimental approach to problem-solving
• Design and conduct experiments to test hypotheses and improve the performance of LLM models

4. Large Language Model Experience:

• Possess a solid understanding of LLM (Large Language Models) and their applications
• Demonstrated experience in developing and fine-tuning LLM models for specific use cases, incorporating GANs when relevant.

5. Data Science - Data Preparation:

• Proficient in data science techniques, including data preparation, data cleaning, and data transformation
• Utilize data science tools and methodologies to pre-process and refine data for LLM model training

6. Cloud Experimentation:

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their services for experimentation and model deployment
• Deploy LLM models on cloud infrastructure and optimize them for performance and scalability

Skills, Knowledge and Expertise

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• At least 1 year of proven experience working with LLM models and natural language processing techniques
• Strong background in data science and data preparation for machine learning projects
• Familiarity with cloud-based experimentation and deployment platforms
• Excellent programming skills in languages commonly used in LLM development (e.g., Python, TensorFlow, PyTorch)
• Solid understanding of deep learning concepts and methodologies
• Strong analytical and problem-solving abilities
• Effective communication skills and the ability to collaborate with cross-functional teams

Nice to have

• Publications or contributions to the field of natural language processing and LLM development
• Experience in developing LLM models for specific domains or industries

Benefits

• A competitive salary package
• 25 days holiday, as well as UK bank holidays 
• Private healthcare contribution
• Friendly team ‘start up’ culture. 
• Working within a fast-growing company that has a culture of empowerment, innovation and collaboration
• Opportunity for career growth and learning, and to play a key role in a pioneering growth company.