Job Title : AI/ML Engineer/Data Scientist

Design and build scalable AI and ML models to solve business challenges.
Develop and optimize deep learning architectures (CNNs, RNNs, Transformers, LLMs).
Work on Generative AI use cases (LLMs, prompt engineering, text summarization, embeddings, vector databases).
Implement end-to-end ML pipelines - from data preprocessing to model deployment and monitoring.
Collaborate with cross-functional teams to integrate AI models into production systems.
Research, prototype, and evaluate new algorithms in NLP, Computer Vision, and Predictive Analytics.
Deploy models using tools like TensorFlow Serving, MLflow, Docker, Kubernetes, or Hugging Face Hub.
Ensure scalability, robustness, and ethical AI practices in deployed systems.

Required Skills & Experience :

3 years of hands-on experience in Machine Learning, Deep Learning, and AI-based solutions.
Strong programming skills in Python and frameworks such as PyTorch, TensorFlow, Scikit-learn.
Expertise in one or more of the following areas :
Natural Language Processing (NLP) - LLMs, text classification, NER, embeddings
Computer Vision - image recognition, object detection, OCR
Generative AI - OpenAI, LangChain, vector databases (FAISS, Pinecone)
Experience with MLOps tools - MLflow, Airflow, Docker, Kubernetes, CI/CD pipelines.
Proficiency in cloud platforms - AWS / GCP / Azure AI services.
Strong grasp of data structures, algorithms, and software engineering best practices.
Excellent analytical, problem-solving, and communication skills.

Experience fine-tuning or deploying Large Language Models (LLMs).
Exposure to Retrieval-Augmented Generation (RAG) frameworks.
Familiarity with API development (FastAPI, Flask) for serving models.
Bachelor's/master's degree in computer science, AI, Data Science, or a related field.

InfoObjects Software - Data Scientist - Artificial Intelligence/Machine Learning Models

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