AI/ML Developer

AI/ML Engineer

• Design, develop, and deploy

  machine learning and deep learning models

  for real-world applications.
• Work with

  Python-based frameworks

  like TensorFlow, PyTorch, and Scikit-learn.
• Implement

  data preprocessing, feature engineering, and model optimization

  techniques.
• Collaborate with product and engineering teams to integrate models into production environments (APIs, microservices).
• Build and manage

  ETL pipelines

  , handle large datasets, and ensure data quality.
• Research and experiment with

  LLMs, embeddings, NLP, and generative AI tools

  such as OpenAI, LangChain, and Hugging Face.
• Optimize model performance, accuracy, and scalability for deployment.
• Stay updated with the latest advancements in AI, ML, and GenAI technologies.

Skills

• Strong programming skills in

  Python

  (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Solid understanding of

  machine learning algorithms, data preprocessing, and model evaluation

  techniques.
• Experience in

  NLP / LLM / Generative AI

  projects is highly desirable.
• Familiarity with

  LangChain, OpenAI API, or similar AI frameworks

  is a plus.
• Good understanding of

  cloud environments (AWS/GCP/Azure)

  for ML model deployment.
• Experience with

  version control (Git)

  and

  CI/CD pipelines

  .
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Exposure to

  vector databases (Pinecone, ChromaDB, Weaviate)

  .
• Experience in

  API development (FastAPI / Flask)

  for serving ML models.
• Knowledge of

  MLOps tools

  such as MLflow, Kubeflow, or Airflow.
• Prior experience working on

  AI-powered SaaS or automation systems

  .