LLM Developer

Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, AI, or related fields., 4-6 years of experience with frameworks like PyTorch or TensorFlow and LLM platforms such as OpenAI or Hugging Face., Hands-on experience in developing, fine-tuning, and deploying Large Language Models and NLP models., Proficiency in Python programming and experience with REST APIs for AI integration..

Key responsibilities:

  • Design, fine-tune, and implement state-of-the-art LLMs to address business challenges.
  • Collaborate with cross-functional teams to deploy AI solutions and integrate LLMs into systems.
  • Research and experiment with emerging AI technologies to maintain a competitive edge.
  • Ensure AI solutions adhere to ethical standards, industry regulations, and data security policies.

Job description


NOTE this is fully remote..

We are seeking a highly skilled and innovative LLMAI Developer to design, develop, and implement AIdriven solutions leveraging stateoftheart Generative AI and LLM frameworks. You will collaborate with crossfunctional teams to identify use cases, deploy AI solutions, and ensure alignment with business goals while adhering to ethical and regulatory standards.

Our client has a team dedicated to leveraging cuttingedge technologies like Generative AI and Large Language Models (LLMs) to enhance operational efficiencies, customer experiences, and financial insights. As a consulting member of this dynamic team, you will pioneer AIdriven solutions, driving transformation across the organization.

  • Ensure AI solutions are designed with fairness, transparency, and adherence to ethical guidelines and industry regulations.
      • Model Development & Optimization :
        • Design, finetune, and implement stateoftheart LLMs to solve business challenges.
        • Optimize existing models for performance, accuracy, and scalability.
        • Explore and apply transfer learning and reinforcement learning techniques.
          • AI Solution Deployment :
            • Integrate LLMs into systems and workflows to enhance decisionmaking, automate processes, and support client services.
            • Collaborate with software engineers to ensure seamless deployment and integration into production environments.
              • Innovation & Experimentation :
                • Research and experiment with emerging AI technologies, tools, and architectures to maintain a competitive edge.
                • Propose and prototype innovative applications for LLMs within the context of financial services.
                  • Data Management & Processing :
                    • Collaborate with data teams to prepare and preprocess datasets for training and evaluation.
                    • Ensure data quality, integrity, and security compliance during model development.
                      • Ethics & Compliance :
                          • Collaboration :
                            • Work closely with business leaders, product owners, and IT teams to align AI initiatives with organizational priorities.
                            • Contribute to knowledge sharing and mentoring within the NextGen AI Lab team.
                                • Who Are You?

                                  • Bachelors or Masters degree in Computer Science, Data Science, AI, or related fields.
                                  • 46 years of experience in frameworks (e.g., PyTorch, TensorFlow) and LLM platforms (e.g., OpenAI, Hugging Face).
                                  • Handson experience in developing, finetuning, and deploying LLMs and NLP models.
                                  • Proficiency in programming languages such as Python and experience with REST APIs for AI integration.
                                  • Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes).
                                  • Familiarity with financial services or related industries is a plus.
                                  • Strong understanding of data ethics, AI regulations, and security considerations.
                                    • Preferred Skills

                                      • Experience in using AI to solve challenges specific to financial services (e.g., portfolio management, fraud detection, client communication).
                                      • Expertise in prompt engineering and iterative development for LLMs.
                                      • Familiarity with data engineering concepts (e.g., ETL pipelines, databases).
                                      • Ability to translate technical concepts into businessfriendly terms and recommendations.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Mentorship
  • Collaboration

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