Senior AI/ML Engineer Machine Learning & Data Science

Actively Reviewing the Applications

SteerLean Consulting

India, Maharashtra Full-Time

Posted 4 days ago • Apply by June 30, 2026

Job Description

Position Overview

We are looking for a senior AI / ML Developer who can take in ambiguous and fluid requirements and translate them into concrete features and deliverables. The developer should be able to integrate with and build upon existing workflows and systems, but also propose, design and implement entirely new systems when needed. Our existing systems span computer vision models, natural language models, classical ML models, hierarchical LLM agentic suite and a massive data lake. You will work closely with a small but dynamic team of 6-8 engineers and scientists. You will play a pivotal role in designing systems, training and fine-tuning models, including LLMs, and deploy them in a manner that will optimize their performance across our entire platform.

Responsibilities

Develop and implement a broad range of LLM-based systems, including text

generation, image generation, video understanding, and coding copilot applications.

Fine-tune LLMs and implement Retrieval-Augmented Generation (RAG) systems to

enhance model performance and knowledge

Optimize model deployments for cost efficiency, including techniques such as

quantization and distillation

Prepare and clean diverse datasets for LLM, CV and NLP training and evaluation
Collaborate with senior business leaders on model architecture, deployment

strategies, and long-term AI roadmap

Interact directly with clients to gather requirements and feedback on system

performance

Qualifications

5+ years of experience in Machine Learning engineering, with a focus on Computer Vision and agentic systems

Proficiency with Python and deep learning frameworks such as PyTorch or TensorFlow and agentic frameworks like Langgraph

Experience working with text and vision based embedding models, as well as Object Detection models

Strong background in data preprocessing and feature engineering for CV & NLP tasks

Solid problem solving and system design skills

Hands-on experience with training / fine-tuning deep learning models and implementing Retrieval-Augmented Generation (RAG) systems

Experience deploying and monitoring machine learning models on cloud platforms,

preferably GCP

Startup mentality to iterate rapidly, work across disciplines, and focus on customers

Preferred Qualifications

Experience with AWS SageMaker or GCP Vertex AI for model training, deployment, and management
Proficiency using infrastructure-as-code tools like AWS CDK, Terraform, Pulumi for ML model deployments
Experience working on e-commerce and/or enterprise (B2B) products, particularly in applying LLMs to these domains
Hands-on experience using LLMs for data cleaning, enrichment, and augmentation tasks
Familiarity with ML dataset annotation tools and processes, and frameworks like HuggingFace, WandB
Familiarity with Reinforcement Learning techniques
Experience with prompt engineering and few-shot learning techniques for LLMs
Knowledge of efficient training techniques like parameter-efficient fine-tuning (PEFT) or LoRA
Familiarity with model evaluation metrics and A/B testing for LLM performance
Experience working with huge production multi-modal datasets (100M+ records)