HamburgerMenu
hirist

Artificial Intelligence Engineer - Data Modeling

Sheryl strategic solutions Pvt. LTD .
Bangalore
3 - 9 Years

Posted on: 24/12/2025

Job Description

Description :


Job Title : AI Engineer


Location : Bangalore (Hybrid 3 Days Onsite per Week)


Contract Type : Long-Term Contract


Start Date : Mid-February


Job Description :


- We are proactively seeking experienced AI Engineers to join our client, for a long-term engagement.


- Ideal candidates will have hands-on experience in building, deploying, and optimizing AI/ML models, with strong proficiency in end-to-end machine learning pipelines and modern AI frameworks.


- The role follows a hybrid model with 3 days onsite in Bangalore.


Key Responsibilities :


- Design, develop, and deploy machine learning and AI models for production use cases.


- Build and optimize end-to-end ML pipelines, including data preprocessing, model training, validation, and deployment.


- Work with cross-functional teams to integrate AI solutions into existing products and systems.


- Conduct research on modern AI/ML techniques and propose improvements.


- Develop scalable solutions using cloud platforms (AWS, Azure, GCP).


- Monitor, maintain, and improve model performance in production environments.


Required Skills & Experience :


- 38+ years of experience in AI/ML engineering.


- Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn.


- Hands-on experience deploying models to production environments.


- Experience with data engineering fundamentals (ETL, feature engineering).


- Strong understanding of NLP, Computer Vision, LLMs, or deep learning architectures.


- Familiarity with MLOps tools like MLflow, Kubeflow, Airflow, or similar.


Preferred Qualifications :


- Experience with LLM fine-tuning, vector databases, and RAG architectures.


- Experience with cloud-native tools (SageMaker, Vertex AI, Azure ML).


- Knowledge of containerization tools (Docker/Kubernetes).


- Strong problem-solving and analytical skills.


Additional Notes :


- Location : Bangalore.


- Hybrid : 3 days onsite per week.


- Start : Mid-February.


- Engagement : Long-term contract.


info-icon

Did you find something suspicious?