SeniorAIdeveloper

Roles & Responsibilities:

• Implementation & validation of AI-powered solutions with modular reusable components using Python REST APIs & in-house developed AI framework/s.

• Contribute to the development of AI pipelines from data ingestion to model deployment and monitoring.

• Collaborate across domains to integrate AI/LLM capabilities to realize use cases such as AI-powered ASPICE assessments Artefacts evaluation etc.

•  Optimize agent behavior for safety efficiency and explainability.

   

   

Technical Skills:

•  

  • Strong programming background in Python with experience in AI/ML frameworks (e.g. LangChain Hugging Face OpenAI APIs).

  • Knowhow of RAG concept.

  • Understanding of LLMs Embeddings and multi-model reasoning.

  • API orchestration and GenAI prompt engineering.

  • Familiarity with tools like GitGITHUB versioning concepts.

  • Strong analytical and problem-solving skills with a user-centric design mindset.

  • Familiarity of A2AMCP protocols.

  • Workflow Management: Experience with workflow automation tools like PowerAutomate n8n

  • Hands-on experience with GenAI foundation models and vector databases leveraging foundational AI models for advanced capabilities.

  • Familiarity with automotive standards such as ASPICE PAM model .(Good to have)

   

Qualifications :

Educational qualification:

• Any Bachelors or Masters degree

• 34 years of hands-on experience in AI model development deployment and optimization.

• Strong command of Python and libraries

• Deep understanding of machine learning algorithms model training workflows and deep learning architectures (CNN RNN Transformers).

• Experience with data wrangling preprocessing and feature engineering for model readiness.

• Skilled in developing and integrating models via APIs (Flask FastAPI) and containerization using Docker.

• Proficiency in model evaluation metrics hyperparameter tuning and performance analysis.

• Experience with Git and collaborative code development workflows.

• Strong analytical mindset and ability to troubleshoot complex model behaviors.

   

   

Preferred Qualifications:

• Experience working with Large Language Models (LLMs) Generative AI or prompt engineering

• Familiarity with cloud AI platforms

• Knowledge of MLOps practices  CI/CD for ML model monitoring and retraining pipelines.

• Exposure to computer vision or NLP-based AI systems.

Additional Information :

• 34 years of hands-on experience in AI model development deployment and optimization.

Remote Work :

No

Employment Type :

Full-time