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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.
- 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.
- 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.
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.