Senior Machine Learning Engineer

Atharva Syscom Inc.; Delhi; A distancia; INR 3.000.000 - 4.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity package

Stock options from day one

Remote-First

Home-office stipend ₹60K

Learning budget

Health cover

Medical, dental & vision for you and a

family

Descripción de la vacante

Atharva Syscom Inc. in India seeks a Senior ML Engineer to architect and deploy production-grade ML systems, including language models, RAG pipelines, and agent orchestration for enterprise clients.

You will lead end-to-end ML development, collaborate with product and backend teams, and mentor engineers to deliver robust, scalable AI solutions across production environments.

Formación

• 5+ years of hands-on ML/AI engineering experience, with at least 2 years in NLP or LLM work.
• Strong proficiency in Python and PyTorch (or JAX/TensorFlow).
• Deep understanding of transformer architectures and RLHF.
• Experience with vector databases (Pinecone, Weaviate, Qdrant, or similar).
• Solid software engineering skills: clean code, testing, CI/CD, containerisation.

Responsabilidades

• Design, train, fine-tune, and evaluate LLMs and smaller task-specific models for enterprise use-cases.
• Build and maintain end-to-end ML pipelines including data ingestion, feature engineering, model training, and serving.
• Optimise model inference latency and throughput for high-availability production environments.
• Collaborate with product and engineering to translate business requirements into ML problem formulations.
• Mentor junior ML engineers and conduct rigorous code and experiment reviews.
• Publish internal research notes and contribute to Atharva's technical blog.

Conocimientos

ML engineering

Python

PyTorch

LLMs/NLP

Transformers

RLHF

Vector databases

CI/CD

Cloud ML

Research reading

Herramientas

LangGraph

DeepSpeed

Megatron-LM

FSDP

Descripción del empleo

At Atharva Syscom, our Machine Learning team sits at the core of everything we build. You will work on large-scale language models, retrieval-augmented generation (RAG) pipelines, and agent-orchestration systems used by Fortune-500 clients.

As a Senior ML Engineer you won't just train models—you'll architect the systems that take them from experiment to production, collaborating with product, backend, and data engineers to solve real-world enterprise challenges.

"Lead the research, design, and deployment of production-grade ML models that power Atharva's enterprise AI agents platform."

What You'll Do

• Design, train, fine-tune, and evaluate LLMs and smaller task-specific models for enterprise use-cases.
• Build and maintain end-to-end ML pipelines including data ingestion, feature engineering, model training, and serving.
• Optimise model inference latency and throughput for high-availability production environments.
• Collaborate with product and engineering to translate business requirements into ML problem formulations.
• Mentor junior ML engineers and conduct rigorous code and experiment reviews.
• Publish internal research notes and contribute to Atharva's technical blog.

What We're Looking For

• 5+ years of hands-on ML/AI engineering experience, with at least 2 years in NLP or LLM work.
• Strong proficiency in Python and PyTorch (or JAX/TensorFlow).
• Deep understanding of transformer architectures, attention mechanisms, and RLHF.
• Experience with vector databases (Pinecone, Weaviate, Qdrant, or similar).
• Solid software engineering skills: clean code, testing, CI/CD, containerisation.
• Familiarity with cloud ML platforms (AWS SageMaker, GCP Vertex AI, or Azure ML).
• Strong analytical thinking and ability to read and implement research papers.

Nice to Have

• Experience deploying agents using frameworks like LangGraph, CrewAI, or AutoGen.
• Knowledge of quantisation techniques (GPTQ, AWQ, GGUF) for edge/CPU inference.
• Publications at NeurIPS, ICML, ACL, or EMNLP.
• Experience with distributed training (FSDP, DeepSpeed, Megatron-LM).

Tools & Technologies

• Equity Package
• Meaningful stock options from day one.
• Remote-First
• Work from anywhere with a ₹60K home-office stipend.
• Learning Budget
• Health Cover
• Medical, dental & vision for you and family.

Job Overview

Job Type Full-time

Experience 5+ years