AI/ML Engineer

BIG Language Solutions; Dadri; On-site; INR 1,100,000 - 1,800,000; Full time

Job summary

A leading language solutions provider is seeking an AI/ML Learning Engineer in Noida. This full-time role focuses on enhancing translation and localization through machine learning. Candidates should have 4-6 years of AI/ML experience, primarily in NLP, and be proficient in Python and various ML frameworks. The position involves collaboration with cross-functional teams to deploy AI-driven solutions.

Qualifications

• 4-6 years of experience in AI/ML, preferably with a focus on NLP or multilingual AI.
• Strong understanding of NLP concepts such as information retrieval and machine translation.

Responsibilities

• Adapt and fine-tune open-source LLMs for specialized tasks.
• Design, deploy, and optimize AI agents for enterprise-grade conversations.
• Develop evaluation pipelines for LLM performance on multilingual tasks.

Skills

AI/ML experience

NLP expertise

Python proficiency

Experience with ML frameworks

Problem-solving skills

Education

Bachelor’s or Master’s degree in Computer Science

Tools

PyTorch

TensorFlow

HuggingFace Transformers

MLOps tools

Docker

Kubernetes

Job description

Location: Noida (Work from Office)

Reports to: VP of Artificial Intelligence

Your Role

At BIG Language Solutions, we’re shaping the future of multilingual communication through cutting‑edge AI. As an AI/ML Learning Engineer, you’ll be instrumental in designing, building, and scaling ML‑driven capabilities that enhance our translation, localization, and linguistic intelligence products. You will work across data science, engineering, and product teams to bring research into production and help us automate, augment, and accelerate human translation.

This role is perfect for someone who thrives on experimentation, iteration, and deployment of ML models in real‑world systems.

You Will

• Adapt and fine‑tune open‑source LLMs and implement Retrieval‑Augmented Generation (RAG) pipelines to perform specialized tasks, enhancing translation quality and workflow efficiency.
• Design, deploy, and optimize AI agents capable of enterprise‑grade conversations, integrating them with internal systems via APIs, databases, and automation tools.
• Develop evaluation pipelines for LLM performance on multilingual tasks, and guide model selection or fine‑tuning accordingly.
• Support the prototyping and productionization of AI‑driven features that support localization workflows, with a focus on delivering scalable impact across translation and interpretation processes.
• Collaborate with cross‑functional teams (engineering, product, and operations) to shape BIG Language AI’s roadmap.
• Stay current with research in applied ML, especially around LLMs, sequence modeling, and cross‑lingual representations.

Requirements

• 4‑6 years of experience in AI/ML, preferably with a focus on NLP or multilingual AI.
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Computational Linguistics, or related field.
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or HuggingFace Transformers.
• Experience building, training, evaluating, and deploying models in production environments.
• Strong understanding of NLP concepts such as information retrieval, sequence modeling, NER, and machine translation.
• Experience with MLOps tools (e.g., MLflow, Weights & Biases, Docker, Kubernetes) is a strong plus.
• Excellent problem‑solving skills and ability to work cross‑functionally with product, data, and engineering teams.

Think global. Think BIG.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Information Technology

Industries

• Information Services