This role is for one of Weekday’s clientsSalary range: Rs 5000000 - Rs 15000000 (ie INR 50 - 150 LPA)Min Experience: 1+ yearsLocation: Bengaluru, KarnatakaJobType: full-timeWe 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.RequirementsKey ResponsibilitiesDesign, 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 Skills1–8 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 SkillsExperience 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.
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.
At Weekday (backed by YC; also Product Hunt #1 product of the day), we are building the next frontier in hiring. We have built the largest database of white collar talent in India and have built outreach tools on top of it to generate highest response rates.
At Weekday (backed by YC; also Product Hunt #1 product of the day), we are building the next frontier in hiring. We have built the largest database of white collar talent in India and have built outreach tools on top of it to generate highest response rates.
