Artificial Intelligence Engineer

As an AI Engineer, you will be responsible for designing, developing, deploying and maintaining AI models and systems. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and reliable AI systems. The ideal candidate should have a strong background in machine learning, software development, and a passion for innovation.

Job Description:

• AI Model Development:

o Develop, train, and validate machine learning models.

o Experiment with different algorithms and architectures to solve complex problems.

o Fine-tune models for optimal performance.

o Apply techniques such as regularization, cross-validation, and hyperparameter tuning.

• Data Preparation and Pre-processing:

o Collect, clean, and preprocess raw data.

o Conduct exploratory data analysis.

o Transform data into a format suitable for training AI models.

• Model Deployment:

o Deploy trained models into production environments.

o Integrate models into existing systems.

o Implement APIs for model inference.

o Monitor and maintain deployed models.

• Performance Monitoring and Optimization:

o Monitor the performance of deployed models.

o Identify and fix issues related to model performance.

o Optimize models for speed, accuracy, and resource utilization.

o Implement A/B testing to evaluate model changes.

• Collaboration:

o Work closely with cross-functional teams, including software engineers, data scientists, and domain experts.

o Communicate effectively with non-technical stakeholders.

o Participate in code reviews and design discussions.

RESPONSIBILITIES

• Develop and optimize Langchain-heavy applications for various LLM-driven workflows

• Design, build and maintain API endpoints written in Flask to expose LLM models.

• Integrate LLMs (Huggingface, OpenAI, etc.) into scalable applications.

• Work with vector databases (ChromaDB, Redis) for RAG proccess.

• Implement prompt engineering strategies to improve model performance.

• Manage SQL tables (mysql)

• Deploy and manage models/projects on AWS (EC2) and/or Openshift using Docker containers

REQUIREMENTS

• 4+ years of relevant working experience

• Bachelor's/Master's/Ph.D. in Computer Science, Engineering, Mathematics, or related field.

• Proven experience in developing and deploying machine learning models.

• Proficiency in programming languages such as Python, and frameworks such as TensorFlow, PyTorch, or scikit-learn.

• Strong understanding of data structures, algorithms, and statistical techniques.

• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

Preferred Qualifications:

• Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.

• Knowledge of big data technologies such as Hadoop, Spark, or Kafka.

• Experience with data engineering, creating data pipelines etc.

• Familiarity with software development best practices, including version control, testing, and continuous integration/continuous deployment (CI/CD).

• Publications in peer-reviewed journals or conferences related to artificial intelligence and machine learning.