Machine Learning Engineer

BIG Language Solutions; India; Remote; INR 1,500,000 - 2,500,000; Full time

Job summary

A global language solutions provider is seeking a Machine Learning Engineer to work remotely. The ideal candidate will have extensive experience fine-tuning Large Language Models and developing backend ML services. Key responsibilities include implementing Python code for machine learning pipelines and ensuring the quality of ML outputs. The position offers a dynamic work environment with opportunities to innovate in AI solutions geared towards translation and virtual interpretation tools.

Qualifications

• Strong proficiency in Python for machine learning and backend development.
• Hands-on experience with LLM fine-tuning and NLP workflows.
• Experience deploying ML models in production environments.

Responsibilities

• Write high-quality Python code to implement machine learning pipelines.
• Fine-tune Large Language Models on text-based corpora.
• Design and develop backend ML services using Python.

Skills

Python

LLM fine-tuning

NLP workflows

FastAPI

Triton Inference Server

vLLM

agent-based AI systems

data annotation

QA methodologies

Job description

Job Description: Machine Learning Engineer

Duration: Full-Time

Work Type: Remote

Shift hours: 10am-6pm CET

Role Overview

We are seeking a skilled Machine Learning Engineer with hands-on experience in Large Language Models (LLMs), backend ML systems, and agentic AI solutions. The role will focus on fine-tuning LLMs, building scalable inference services, and developing intelligent automation to support translation and Virtual Interpreter (VI) tools.

Key Responsibilities

• Write high-quality, production-grade Python code to implement, optimize, and maintain machine learning pipelines, services, and tools.
• Fine-tune and adapt Large Language Models (LLMs) such as Qwen, DeepSeek, and LLaMA on:
• Text-based corpora including internal policies, employee handbooks, and training materials
• Design, develop, and maintain backend ML services using Python, including:
• FastAPI-based microservices
• Model deployment and inference using Triton Inference Server and/or vLLM
• Develop agentic AI solutions to support:
• Process optimization
• Workflow automation across internal systems
• Build and maintain data annotation pipelines to support model training and evaluation
• Perform QA testing, validation, and performance evaluation of:
• Machine learning model outputs and workflows

Required Skills & Qualifications

• Strong proficiency in Python for machine learning and backend development
• Hands-on experience with LLM fine-tuning and NLP workflows
• Experience deploying ML models in production environments
• Familiarity with FastAPI, Triton Inference Server, and/or vLLM
• Understanding of agent-based AI systems and automation frameworks
• Experience with data annotation, QA, and ML evaluation methodologies
• Ability to work independently in a remote, part-time setup

Think global. Think BIG.

Linkedin: https://www.linkedin.com/company/big-language-solutions/mycompany/