Job description
Role & responsibilities
- Experience: 10-18 years
- Location: PAN India
- Interview mode: Virtual
- Strong knowledge of statistical analysis, machine learning, and deep learning.
- Developing advanced algorithms and models to extract valuable insights from complex datasets, with a focus on generative AI and large language models (LLMs).
- Conducting thorough exploratory data analysis (EDA) to uncover patterns, anomalies, and correlations in the data for NLP/Time series/Vision capability streams.
- Fine-tuning pre-trained models to optimize their performance for specific tasks and domains.
- Collaborating with cross-functional teams to define project objectives and deliverables and integrating AI models into production environments.
- Applying statistical techniques, machine learning algorithms, and deep learning architectures to solve complex business problems and generate accurate predictions.
- Utilizing cloud-based AI services (e.g., AWS, Azure, GCP) to build scalable and efficient AI solutions.
- Implementing MLOps practices for model deployment, monitoring, and management.
- Proficiency in Python or R, along with relevant libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
- Staying updated with the latest advancements in data science, generative AI, and cloud AI services.
- Experience in developing and deploying AI/Gen AI based systems in production.
- Mentoring junior data scientists and providing technical guidance.
Preferred candidate profileRole:
Data ScientistIndustry Type:
IT Services & ConsultingDepartment:
Data Science & AnalyticsEmployment Type:
Full Time, PermanentRole Category:
Data Science & Machine Learning
EducationUG:
Any Graduate
Key Skills
Skills highlighted with ‘‘ are preferred keyskills