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Lead AI Developer

Lead AI Developer

Aumento

6 years

0 Lacs

mumbai maharashtra india

Posted:3 days ago| Platform:

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Skills Required

ai developer consulting sap technology data analytics ml drive planning cutting design retrieval scoping model development deployment learning azure aws sagemaker gcp vertex monitoring programming tensorflow pytorch openai summarization integration engineering tuning security governance finance collaborative compensation

Work Mode

On-site

Job Type

Full Time

Job Description

Location:

Company:

About Us

SAP Business Technology Platform (BTP), Data Analytics, AI/ML, and Enterprise Integrations

Lead AI Developer

Role Overview

Lead AI Developer

Understanding business challenges and translating them into AI/ML/GenAI use cases
Leading end-to-end AI solution delivery (problem scoping → model development → deployment → monitoring)
Driving innovation through
Generative AI, RAG-based applications, and advanced ML models
Working independently with business & technical stakeholders to deliver measurable value

Key Responsibilities

Collaborate with business stakeholders to identify and scope AI/ML/GenAI opportunities
Lead development of
RAG-based AI solutions
, integrating LLMs with enterprise data sources
Design and implement data pipelines, embeddings, and vector databases for retrieval-based systems
Build and optimize machine learning, deep learning, NLP, and generative AI models
Deploy AI solutions into production on cloud platforms (SAP BTP AI Core, Azure ML, AWS Sagemaker, GCP Vertex AI)
Establish best practices in
MLOps
(CI/CD, monitoring, model retraining, governance)
Mentor junior AI developers and contribute to reusable AI accelerators

Required Skills & Experience

Bachelor’s/Master’s degree in Computer Science, Data Science, AI/ML, or related field
6+ years of experience in AI/ML development, with 2+ years in a lead/architect role
Strong programming in
Python
and experience with
ML/DL frameworks
(TensorFlow, PyTorch, Scikit-learn)
Hands-on expertise in
Generative AI, RAG pipelines, vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus)
Experience with
LLM integration
(OpenAI, Anthropic, Hugging Face, LangChain, LlamaIndex, etc.)
Strong knowledge of
NLP
techniques: embeddings, transformers, summarization, question answering
Experience with
cloud-based AI development
(SAP BTP AI Core preferred, Azure, AWS, GCP)
Understanding of
MLOps & model lifecycle management
Ability to articulate business requirements and convert them into scalable AI solutions

Good to Have

Experience integrating AI with
SAP ecosystem (SAC, BTP, DataSphere, Integration Suite)
Domain exposure in Manufacturing,
CPG industries, Pharma, Automotive
Knowledge of
prompt engineering and fine-tuning LLMs
Experience in
data security, governance, and responsible AI

What We Offer

Lead role in
cutting-edge AI & GenAI initiatives
across industries
Exposure to complex enterprise use cases (Finance, Analytics, Connected Planning)
Entrepreneurial, collaborative work environment with freedom to innovate
Competitive compensation with fast-track growth opportunities

If you are passionate about building AI solutions that blend machine learning, generative AI, and RAG for real-world impact – we’d love to hear from you.

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