AI Engineering Specialist

Job Overview: Invitro Capital is seeking an AI Engineer with a strong focus on Prompt Engineering to design, fine-tune, and optimize large language models (LLMs) and machine learning applications in the B2B technology space.

Responsibilities:

• Develop and fine-tune large language models (LLMs) for NLP applications, with a primary focus on prompt engineering to enhance model performance and response quality.
• Create and optimize machine learning models using libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Design and implement effective prompts that align with business needs and user requirements, ensuring models provide accurate and insightful outputs.
• Collaborate with developers, data scientists, and product managers to design AI-driven solutions that meet business and customer objectives.
• Perform comprehensive testing, including prompt iteration and hyperparameter tuning, to ensure models deliver consistent and high-quality performance.
• Integrate NLP and machine learning models into business applications, ensuring smooth interaction with other systems.
• Analyze large datasets using tools like Hadoop and Spark to extract valuable insights and improve model accuracy.
• Maintain data pipelines and automation workflows using tools like Apache Airflow, ensuring the scalability and efficiency of machine learning models.
• Stay current with advances in prompt engineering, machine learning, and AI, continuously improving models based on emerging techniques and trends.
• Mentor junior team members, sharing best practices for prompt engineering and model optimization.
• Use version control tools like Git to manage code integrity and collaborate effectively within a team.

Requirements:

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in machine learning, with a specific focus on NLP and prompt engineering.
• Expertise in machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Proficiency in programming languages such as Python and experience with data manipulation tools like SQL and Pandas.
• Proven experience in fine-tuning and optimizing models using prompt engineering techniques.
• Strong analytical and problem-solving skills, with attention to detail in handling large datasets.
• Experience with Agile methodologies, including Scrum or Kanban, and tools like Jira for project management.
• Strong communication and collaboration skills, with the ability to work effectively across teams.
• Ability to thrive in a fast-paced, startup environment with a focus on AI-driven innovation.

Preferred Qualifications:

• Master’s degree or higher in Computer Science, Engineering, or related fields.
• Experience with distributed computing frameworks such as Spark.
• Familiarity with cloud-based machine learning platforms such as AWS SageMaker or Google Cloud AI.
• Experience with Docker and Kubernetes for model deployment and scalability.
• Knowledge of computer vision techniques and reinforcement learning.

Why Work with Invitro Capital?

• Work on cutting-edge AI and B2B technologies.
• Help build and grow successful startups.
• Work with some of the best minds in the industry.
• Supportive and collaborative work environment.
• Competitive compensation.