The Role
Lead the design, development, deployment, and optimization of production-ready AI/ML systems, including LLM, generative AI, RAG, NLP, and deep learning solutions. Build ML pipelines, integrate vector databases and LLM application frameworks, deploy models across AWS, GCP, or Azure, and monitor ongoing performance. Collaborate with engineering and product teams while researching advanced algorithms and improving AI workflows. The role also requires expertise in data pipelines, ETL/ELT tools, data warehousing, and big data technologies.
Summary Generated by Built In
Position: Lead AI/ML Engineer
Location: Bangalore
Employment Type: Full-time
About the Role
We are seeking a highly skilled AI/ML Engineer with deep expertise in designing, developing, and deploying machine learning and generative AI solutions. The ideal candidate will have extensive hands-on experience with modern ML frameworks, LLMs, and RAG architectures, and be capable of building scalable, production-ready AI systems.
Key Responsibilities
- Design, develop, and implement end-to-end AI/ML models and solutions for complex business problems.
- Work extensively with LLMs, Generative AI, and Retrieval-Augmented Generation (RAG) architectures.
- Build and optimize ML pipelines using frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
- Leverage vector databases (e.g., FAISS, Pinecone, ChromaDB) for efficient similarity search and data retrieval.
- Integrate LangChain or LlamaIndex for developing intelligent, context-aware applications.
- Deploy, monitor, and maintain ML models on AWS, GCP, or Azure environments.
- Research and apply cutting-edge NLP, deep learning, and machine learning algorithms.
- Collaborate with cross-functional teams including data engineers, software developers, and product managers to deliver AI-driven solutions.
- Continuously evaluate and improve existing AI/ML models and workflows.
Required Skills
- Bachelor's degree in engineering or relevant field
- 7+ years of hands-on experience in Machine Learning and AI development.
- Strong proficiency in Python and familiarity with major ML frameworks (TensorFlow, PyTorch, Hugging Face).
- Proven experience with LLMs, Generative AI, and RAG-based solutions.
- Working knowledge of vector databases such as FAISS, Pinecone, or ChromaDB.
- Strong understanding of ML algorithms, deep learning architectures, and NLP techniques.
- Experience deploying models on cloud platforms (AWS, GCP, Azure).
- Familiarity with LangChain or LlamaIndex for LLM-based application development (preferred)
- Expertise in ETL/ELT Tools and Data Warehousing
- Strong Programming and Scripting Proficiency to build data pipelines
- Experience with Big Data Technologies like Apache Spark and Cloud Platforms services like S3, Data Factory, EMR, HDInsight, Dataflow
- Excellent problem-solving and analytical skills.
- Ability to work in a dynamic, fast-paced environment with minimal supervision.
Skills Required
- Bachelor's degree in engineering or a relevant field
- 7+ years of hands-on experience in machine learning and AI development
- Strong proficiency in Python
- Familiarity with TensorFlow, PyTorch, and Hugging Face
- Experience with LLMs, generative AI, and RAG-based solutions
- Working knowledge of vector databases such as FAISS, Pinecone, or ChromaDB
- Strong understanding of machine learning algorithms, deep learning architectures, and NLP techniques
- Experience deploying models on AWS, GCP, or Azure
- Familiarity with LangChain or LlamaIndex
- Expertise with ETL/ELT tools and data warehousing
- Strong programming and scripting proficiency for building data pipelines
- Experience with Apache Spark and cloud platform services including S3, Data Factory, EMR, HDInsight, or Dataflow
- Excellent problem-solving and analytical skills
- Ability to work in a dynamic, fast-paced environment with minimal supervision
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The Company
What We Do
Relanto is a global advisory, consulting, and technology-services partner that helps organizations navigate business transformation as artificial intelligence reshapes the business landscape. Founded in 2021, the company combines advisory expertise with consulting and technology services, operating across a global footprint that includes India and the United States. Its mission centers on applying AI and modern technology to evolving enterprise needs.
