AI/ML Engineer

Codelynks is an IT consulting and services company helping businesses build innovative and scalable solutions. We are looking for a talented AI/ML Engineer with 2–4 years of experience to work on AI-enabling a SaaS application. If you have hands-on experience in AI/ML model development and a strong interest in applying these skills to real-world applications, we want to hear from you.

Key Responsibilities

• Assist in the design, development, and integration of AI/ML features into a SaaS application.
• Work on training, fine-tuning, and deploying large language models (LLMs) with embedding techniques.
• Develop Natural Language Processing (NLP) components, including tokenization, attention mechanisms, and sentiment analysis.
• Implement AI tasks such as text summarization, semantic search, and basic supervised/unsupervised learning models.
• Support optimization of AI/ML models through methods like quantization and pruning.
• Contribute to creating searchable vector databases from structured and unstructured data.
• Assist in building conversational AI solutions to improve user experience.
• Collaborate with senior engineers and cross-functional teams to deliver AI-enabled features.
• Monitor and test model performance, making improvements where necessary.
  
  

Required Skills And Experience

• 2–4 years of hands-on experience in AI/ML software development.
• Familiarity with LLMs and basic fine-tuning techniques.
• Experience working with NLP frameworks and libraries (e.g., Hugging Face, spaCy, NLTK).
• Understanding of sentiment analysis, text summarization, and semantic search concepts.
• Basic knowledge of supervised and unsupervised learning approaches.
• Proficiency in Python for AI/ML development.
• Experience integrating AI models into applications.
• Ability to work with APIs and build simple chatbot or conversational AI features.
  
  

Preferred Qualifications

• Exposure to AI/ML applications in SaaS or cloud-based platforms.
• Understanding of vector databases and embedding search.
• Experience in agile or remote work environments.
• Strong problem-solving and analytical skills.
  
  

Key Competencies

• Willingness to learn and adapt quickly to new AI technologies.
• Ability to work collaboratively in a team environment.
• Attention to detail and focus on delivering quality work.
• Good communication skills to work effectively with technical and non-technical stakeholders.