Senior_AI_developer

Job Description

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 Git,GITHUB ,versioning concepts.
• Strong analytical and problem-solving skills with a user-centric design mindset.
• Familiarity of A2A,MCP 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 Bachelor's or Master's degree

• 3-4 years of hands-on experience inAI model development, deployment, and optimization.

• Strong command ofPythonand libraries

• Deep understanding ofmachine learning algorithms, model training workflows, anddeep learning architectures(CNN, RNN, Transformers).

• Experience withdata wrangling, preprocessing, and feature engineeringfor model readiness.

• Skilled indeveloping and integrating models via APIs(Flask, FastAPI) andcontainerizationusing Docker.

• Proficiency inmodel evaluation metrics, hyperparameter tuning, and performance analysis.

• Experience withGitand collaborative code development workflows.

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

Preferred Qualifications:

• Experience working withLarge Language Models (LLMs),Generative AI, orprompt engineering

• Familiarity withcloud AI platforms

• Knowledge ofMLOps practices- CI/CD for ML, model monitoring, and retraining pipelines.

• Exposure tocomputer visionorNLP-basedAI systems.

Additional Information

• 3-4 years of hands-on experience inAI model development, deployment, and optimization.