Artificial Intelligence Engineer For Mumbai only

Advance Career Solutions; Mumbai; Sur place; INR 4 000 000 - 8 000 000; Plein temps

Résumé du poste

Advance Career Solutions in Mumbai is seeking a senior AI/ML specialist with 6+ years of experience to design, implement, and deploy advanced AI systems. You will build models for real-world use, work on LLMs, RAG pipelines, and vector databases, and ensure scalable, secure production deployments.

Responsibilities include optimizing performance, collaborating with architects, and championing responsible AI practices across projects.

Qualifications

• Bachelor's or master's degree in CS/AI/Data Science or related field.
• Hands-on AI/ML development and deployment experience.
• Experience with LLMs and Generative AI applications.

Responsabilités

• Design, build, and fine-tune ML, DL, and Generative AI models for real-world use cases.
• Develop Agentic AI systems using ADK, LangGraph, or equivalent for orchestration and reasoning.
• Build solutions leveraging LLMs, RAG pipelines, embeddings, and vector databases.
• Design AI systems for text, structured/unstructured data, and conversational use cases.
• Apply NLP techniques including classification, summarization, entity recognition, and semantic search.
• Develop scalable algorithms for search, retrieval, and real-time inference.
• Integrate AI microservices into enterprise systems using APIs, event-driven architectures, and cloud services.
• Deploy and operate AI workloads using Docker, Kubernetes, and cloud platforms (Azure, AWS, GCP).
• Optimize solutions for performance, cost, latency, and security.
• Collect, preprocess, and manage large datasets for fine-tuning and inference.
• Monitor and optimize models and prompts for accuracy, scalability, and efficiency.
• Collaborate with Solution Architects and business teams to translate requirements into production-ready AI solutions.
• Champion Responsible AI practices, including fairness, bias mitigation, and compliance.

Connaissances

Python

SQL

TensorFlow

PyTorch

Generative AI concepts

LLMs

Prompt engineering

Formation

Bachelors/Masters in Computer Science, AI, Data Science, or related field

Outils

ADK

LangGraph

AutoGen

Azure

AWS

GCP

Description du poste

Role & responsibilities

Location: Mumbai only

Experience: 6+ years

Interview process 3 rounds of interview

Employment Type: Full-time

Notice Period: Immediate to 30 days only

• Design, build, and fine-tune machine learning, deep learning, and Generative AI models for real-world use cases.
• Develop Agentic AI systems using frameworks such as ADK, LangGraph, or equivalent for orchestration and reasoning.
• Build solutions leveraging LLMs, RAG pipelines, embeddings, and vector databases.
• Design and implement AI systems for text, structured/unstructured data, and conversational use cases.
• Apply core NLP techniques including classification, summarization, entity recognition, and semantic search.
• Develop scalable algorithms for search, retrieval, and real-time inference.
• Build and integrate AI microservices into enterprise systems using APIs, event-driven architectures, and cloud services.
• Deploy and operate AI workloads using Docker, Kubernetes, and managed cloud AI platforms (Azure ML, AWS SageMaker, GCP Vertex AI).
• Optimize solutions for performance, cost, latency, and security.
• Collect, preprocess, and manage large datasets for fine-tuning and inference.
• Continuously monitor and optimize models and prompts for accuracy, scalability, and efficiency.
• Partner with Solution Architects and business teams to translate requirements into production-ready AI solutions.
• Champion Responsible AI practices, including fairness, bias mitigation, and compliance.

Required Skills

• Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch).
• Strong understanding of Generative AI concepts (transformers, embeddings, fine-tuning).
• Experience with Agentic AI frameworks (ADK, LangGraph, AutoGen).
• Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment.
• Knowledge of prompt engineering, vector databases (Pinecone, Weaviate), and retrieval-augmented generation (RAG).
• Hands-on with cloud-native AI deployments (Azure, AWS, GCP).
• Familiarity with API-driven design, microservices, and event-driven architectures.

Qualifications

• Bachelors/Masters in Computer Science, AI, Data Science, or related field.
• Hands-on experience in AI/ML development and deployment.
• Hands-on experience with LLMs and Generative AI applications.