InfoObjects
Data Scientist - Artificial Intelligence/Machine Learning Models
AI/ML Engineer & Data Scientist in Jaipur (3+ years experience) who designs and deploys machine learning models end to end — deep learning architectures, generative AI/LLM use cases, and production ML pipelines — using Python, PyTorch/TensorFlow, MLOps tooling (MLflow, Docker, Kubernetes) and AWS/GCP/Azure AI services.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data science
- Posted
Skills
Must have
- 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 NLP (LLMs, text classification, NER, embeddings) or Computer Vision (image recognition, object detection, OCR) or Generative AI (OpenAI, LangChain, 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
Nice to have
- 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
Full description
Job Title : AI/ML Engineer/Data Scientist
Location : Jaipur
Experience : 3+ Years
Key Responsibilities :
- 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.
Preferred Qualifications :
- 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.