# ML Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-08-17

**Salary:** INR 5,000,000–15,000,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**This role is for one of Weekday’s clients  
Salary range: Rs 5000000 - Rs 15000000 (ie INR 50 - 150 LPA)**

  
Min Experience: 1+ years  
Location: Bengaluru, Karnataka  
JobType: full-time

We are looking for a talented **Machine Learning Engineer** with **1–8 years of experience** to design, develop, and deploy intelligent machine learning systems, with a strong focus on **Large Language Models (LLMs)**. You will work on building production-grade AI solutions, improving model performance, and integrating advanced language-model capabilities into scalable products.

The ideal candidate combines strong machine learning fundamentals with hands-on experience working with LLMs, model training or fine-tuning, inference, evaluation, and AI application development.

## Requirements

### Key Responsibilities

-   Design, develop, and deploy machine learning models and AI-powered applications with a primary focus on **LLM-based solutions**.
-   Work with pre-trained language models for tasks such as text generation, classification, summarization, information extraction, question answering, and conversational AI.
-   Fine-tune and optimize LLMs using techniques such as supervised fine-tuning, parameter-efficient fine-tuning, LoRA, and related approaches.
-   Develop robust data pipelines for collecting, cleaning, preprocessing, and preparing datasets for model training and evaluation.
-   Experiment with model architectures, prompting strategies, embeddings, retrieval techniques, and inference approaches to improve system performance.
-   Build and maintain evaluation frameworks to measure model quality, accuracy, relevance, latency, and reliability.
-   Collaborate with product, engineering, and data teams to translate business requirements into scalable machine learning solutions.
-   Optimize models for production environments, considering inference cost, latency, scalability, and resource utilization.
-   Monitor deployed models and continuously improve their performance based on real-world feedback and evaluation results.
-   Stay current with advances in LLMs, generative AI, machine learning research, and emerging AI engineering practices.

### Must-Have Skills

-   **1–8 years of professional experience** in Machine Learning, AI, Data Science, or a related field.
-   Strong hands-on experience with **Large Language Models (LLMs)** and generative AI.
-   Strong understanding of machine learning concepts, algorithms, model evaluation, and optimization.
-   Experience with Python and commonly used machine learning frameworks and libraries.
-   Understanding of NLP concepts, transformer architectures, embeddings, tokenization, and model inference.
-   Experience working with LLM APIs, open-source language models, or enterprise AI platforms.
-   Ability to design, experiment with, evaluate, and productionize ML/LLM solutions.
-   Strong analytical, problem-solving, and debugging skills.

### Good-to-Have Skills

-   Experience working with **foundational models** and open-source models such as Llama, Mistral, Gemma, or similar architectures.
-   Experience with model fine-tuning, quantization, distillation, and parameter-efficient training techniques.
-   Knowledge of RAG architectures, vector databases, semantic search, and embedding models.
-   Familiarity with PyTorch, TensorFlow, Hugging Face Transformers, or similar frameworks.
-   Experience with distributed training, GPU optimization, or high-performance inference.
-   Knowledge of MLOps, model deployment, monitoring, and cloud-based ML infrastructure.
-   Familiarity with prompt engineering, AI agents, multimodal models, or reinforcement learning from human feedback.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/8B39E11165/apply)

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