Python Artificial Intelligence/Machine Learning Developer - Generative AI

Job Description

We are looking for a passionate and curious AI/ML Engineer with an interest in Generative AI to join our innovative team. In this role, you will work on developing, fine-tuning, and deploying intelligent models and systems that solve real-world problems using the latest in artificial intelligence, machine learning, and large language models (LLMs). This is an excellent opportunity for early-career professionals to grow in the exciting field of AI/ML and generative AI technologies.

Key Responsibilities

• Assist in the development, training, and evaluation of machine learning and deep learning models.
• Fine-tune pre-trained Large Language Models (LLMs) like GPT, BERT, LLaMA, etc., for specific use cases.
• Work with datasets: collection, preprocessing, augmentation, and analysis.
• Participate in model optimization, deployment (e.g., via APIs), and performance monitoring.
• Taking responsibility for driving all aspects of implementation, quality assurance, continuous integration and deployment, and application monitoring.
  
  

Required Skills

• Strong understanding of machine learning, deep learning, and generative AI concepts.
• Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy.
• Exposure to NLP techniques and transformer models (e.g., GPT, BERT).
• Basic understanding of model training, evaluation metrics, and deployment pipelines.
• Knowledge of data preprocessing, cleaning, and visualization techniques.
• Strong hands-on experience in working with SQL databases.
  
  

Good To Have

• Hands-on experience with Generative AI models (e.g., GPT, DALL-E, etc.).
• Familiarity with LangChain, LlamaIndex, or other LLM frameworks.
• Experience working with Hugging Face, OpenAI, or similar APIs.
• Understanding of prompt engineering and fine-tuning strategies.
• Exposure to MLOps tools (e.g., MLflow, Weights & Biases, DVC).
• Participation in AI/ML competitions (e.g., Kaggle) or contribution to open-source projects.
  
  

Qualification

Education : B.Tech M.Tech or MCA

• 1-2 years of professional or academic project experience in AI/ML.
• Preferably should have done some certification / courses / Formal training
• Solid understanding of mathematics related to data science probability, statistics, linear algebra, etc.
• Experience in building end-to-end ML and/or AI and/or Generative AI projects.
• Excellent Communication skills oral and written
• Should have the mindset to work in a startup culture.
  
  

(ref:hirist.tech)