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AIML DATA SCIENTIST
Job Location:
Monthly Salary:
Experience Required:
Posted:
2 October 2026 (10 days ago)
Posted:
Application Deadline:
30 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Summary
We are seeking a highly skilled AI/ML Data Scientist to join our IT Services this pivotal role you will leverage advanced technologies such as Generative AI Large Language Models and Retrieval-Augmented Generation to drive innovation. The position demands a deep understanding of Natural Language Processing and Computer Vision alongside robust expertise in deploying machine learning solutions within containerized environments. You will play a critical part in analyzing complex datasets optimizing model performance and ensuring the seamless integration of AI capabilities into our business workflows.
Responsibilities
- Design develop and deploy scalable machine learning models utilizing Generative AI LLMs and RAG architectures.
- Engineer sophisticated solutions for Natural Language Processing and Computer Vision tasks to enhance product intelligence.
- Manage the lifecycle of AI applications using Docker and Kubernetes to ensure reliability and scalability.
- Implement and optimize vector databases while refining prompt engineering strategies for improved model outputs.
- Conduct in-depth data analysis and statistical modeling using SQL to extract actionable insights from large datasets.
- Oversee the end-to-end deployment of ML models including MLOps practices for continuous integration and delivery.
Requirements
Requirements:
- Possess between 5.5 and 8 years of professional experience in data science and machine learning engineering.
- Demonstrate proven expertise in Generative AI Large Language Models and Retrieval-Augmented Generation techniques.
- Show strong proficiency in NLP and Computer Vision methodologies.
- Have hands-on experience with containerization tools such as Docker and orchestration platforms like Kubernetes.
- Be skilled in working with Vector Databases and advanced Prompt Engineering practices.
- Exhibit solid capabilities in SQL querying and comprehensive data analysis.
- Maintain a strong background in Machine Learning algorithms Statistical Analysis and Model Deployment pipelines.
- Be prepared to work within the salary range of 20 - 28 LPA.
Required Skills:
Generative AI / LLM / RAG NLP / Computer Vision TensorFlow / PyTorch MLflow / Kubeflow Docker / Kubernetes BigQuery / Databricks / Spark Vector Databases & Prompt Engineering Python Pandas NumPy Scikit-learn Machine Learning & Statistical Analysis SQL & Data Analysis Feature Engineering Model Training & Tuning Classification Regression Clustering & Forecasting ML Model Deployment / MLOps Cloud: GCP / AWS / Azure
Required Education:
Bachelors Degree (MBA Preferred)
