Posted on: 17/09/2025
Job Description :
Key Responsibilities :
- Design, develop, and deploy AI/ML models for real-world applications.
- Work on natural language processing (NLP), computer vision, or generative AI projects as required.
- Develop and optimize LLM-powered applications (chatbots, summarization, reasoning tools, etc.).
- Build and maintain data pipelines for training and inference workflows.
- Collaborate with product, data, and engineering teams to integrate AI solutions into business applications.
- Perform model evaluation, tuning, and validation to ensure accuracy and reliability.
- Implement MLOps/CI-CD pipelines for deploying and monitoring models at scale.
- Ensure compliance with AI ethics, fairness, bias reduction, and security best practices.
Basic Qualifications :
- Bachelors/Masters degree in Computer Science, AI/ML, Data Science, or a related field.
- 5+ years of experience in machine learning, deep learning, or applied AI engineering.
- Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn).
- Hands-on experience with LLMs, NLP, or generative AI.
- Solid understanding of data structures, algorithms, and statistical modeling.
- Experience with REST APIs, microservices, or cloud deployments.
Preferred Qualifications :
- Knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Experience with transformer models (BERT, GPT, LLaMA, etc.).
- Familiarity with vector databases (Pinecone, Weaviate, FAISS).
- Proficiency in MLOps tools (MLflow, Kubeflow, Airflow).
- Exposure to data pipelines, big data frameworks (Spark, Hadoop).
- Strong analytical mindset and ability to think from a customer/business perspective.
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