Job Title: Data Scientist (NLP/ML/AI/MLOps/Cloud AI/Gen AI)
Location: Indore
Employment Type: Full-time
Job Summary:
We are looking for a highly motivated and experienced Data Scientist with a strong background in Natural Language Processing (NLP) or Machine Learning (ML) or Artificial Intelligence (AI), Large Language Models (LLMs) or MLOps or Cloud AI, and/or Generative AI. The ideal candidate will be responsible for building advanced AI models, analyzing complex datasets, and deploying machine learning pipelines to solve business challenges.
Key Responsibilities:
- NLP & LLMs: Develop, fine-tune, and deploy NLP models, including large language models for various use cases such as chatbots, document understanding, and content generation.
- Machine Learning: Design and implement machine learning models for prediction, classification, recommendation systems, and other business use cases.
or
- AI & Generative AI: Build and deploy AI models, including those for generative AI applications like text generation, image generation, and other creative AI-driven solutions.
or
- MLOps: Develop and implement MLOps practices for scaling and automating ML model deployment, monitoring, and retraining.
or
- Cloud AI: Leverage cloud platforms (AWS, GCP, Azure) to deploy scalable AI solutions, manage infrastructure, and optimize costs.
- Data Analysis: Analyze large, complex datasets to extract actionable insights, improve model performance, and support decision-making.
- Collaboration: Work closely with cross-functional teams including software engineers, product managers, and data engineers to integrate AI solutions into production systems.
- Experimentation: Continuously run experiments to improve model accuracy and efficiency, and stay updated with the latest advancements in AI, ML, and NLP.
Qualifications:
- Educational Background:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- Technical Skills:
- Proficiency in programming languages such as Python, R, or Scala.
- Hands-on experience with NLP frameworks (e.g., Hugging Face, spaCy, NLTK) and LLMs like GPT, BERT, etc.
- Experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Familiarity with MLOps tools and platforms (e.g., MLflow, Kubeflow, Docker, Kubernetes).
- Knowledge of cloud AI services (AWS Sagemaker, Google AI, Azure AI) and deployment pipelines.
- Strong understanding of generative models (GANs, VAEs, Diffusion models) is a plus.
- Experience:
- 5+ years of hands-on experience in Data Science, NLP, ML, or AI roles.
- Prior experience with LLMs, MLOps, and Cloud AI solutions is highly desirable.
- Soft Skills:
- Strong problem-solving skills with attention to detail.
- Excellent communication and collaboration skills.
- Ability to work in a fast-paced, dynamic environment.