AI/ML Developer

We are looking for a highly skilled and experienced AI/ML Engineer with 2 to 5 years of relevant experience in developing end-to-end machine learning solutions. The ideal candidate will be well-versed in deep learning, natural language processing (NLP), computer vision, and large language models (LLMs). You will be responsible for designing, developing, and deploying scalable AI models tailored to real-world business use cases.

• Key Responsibilities

  • Design, train, evaluate, and deploy machine learning and deep learning models aligned with business goals.

  • Work with various ML tasks such as classification, regression, and clustering.

  • Handle NLP, LLMs, computer vision, and speech-to-text use cases.

  • Implement and fine-tune models like LLaMA, Falcon, BERT, T5 Transformer, and Hugging Face models.

  • Use libraries such as NumPy, Pandas, Matplotlib, SpaCy, Scikit-learn, TensorFlow, and PyTorch.

  • Write clean, efficient Python code for data processing and model development.

  • Utilize tools like Google Colab, Jupyter Notebook, and AWS SageMaker for experimentation and deployment.

  • Monitor data drift and automate model retraining pipelines as required.

  • Deploy AI models on cloud infrastructure (preferably AWS) using services like SageMaker, EC2, ECS, and Kubernetes.

  • Collaborate with cross-functional teams to translate complex problems into AI solutions.

• Good to Have

  • Experience working with LangChain or LLaMAIndex .

  • Familiarity with RAG-based (Retrieval-Augmented Generation) application development.

  • Hands-on experience with Google Cloud Platform (GCP) for model deployment.

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