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Mumbai · On-site · 1-3 Yrs · Oct 1
1 to 50 Employees · Limassol, Cyprus
4 open roles0 posted in 7d4 in 30d
Hiring: Engineering
Job description
Overview
Role & responsibilities
Responsibilities
- Location: Mumbai only
Qualifications
- 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.
- 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.
- 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.
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Job application FAQ
Last updated 13 October 2026
- How do I apply for Artificial Intelligence Engineer For Mumbai only at Advance Career Solutions?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Advance Career Solutions may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Artificial Intelligence Engineer For Mumbai only role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Artificial Intelligence Engineer For Mumbai only remote or on-site in Mumbai, Maharashtra?
- This listing is marked on_site with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Artificial Intelligence Engineer For Mumbai only role at Advance Career Solutions?
- This is a mid-level Artificial Intelligence Engineer For Mumbai only role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.