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Senior AI/ML Engineer

Shaip
Ahmedabad, Gujarat

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Job details

Qualifications

TensorFlow
Image processing
Azure
Law
Computer Science
PyTorch
Computer vision
Software deployment
Build automation
Research
Master's degree
Databases
OOP
AWS
Bachelor's degree
Machine learning
Sales pipeline
REST
Mentoring
Django
APIs
Keras
AI
Communication skills
Python
Design patterns

Full job description

Hiring organization

Job Location

Ahmedabad, India

Experience

10+ Years

Apply now

Senior AI/ML Engineer

We're seeking an experienced AI/ML Engineer to research, customize, and deploy machine learning models across audio, vision, and language domains. You'll work on production systems that process multimodal data at scale and build automation solutions for our data platform serving global AI/ML customers.

The ideal candidate brings 10+ years of overall software engineering experience, including

6+ years of hands-on Python development
6+ years of Machine Learning experience with deep expertise in Conversational AI/Speech Processing and/or Computer Vision
2+ years working with Large Language Models (LLM) and Generative AI applications
3+ years of experience mentoring engineers or leading technical initiatives

Key Responsibilities

Research, evaluate, and customize open-source ML models (audio, vision, LLM) for production use cases on AWS.
Develop APIs and services using FastAPI, Django, or similar frameworks to expose ML capabilities
Design automation solutions and scripts for data processing, validation, and quality control across multimodal datasets (audio, image, video, text)
Build and maintain MLOps pipelines for model versioning, deployment, monitoring, continuous integration, and performance optimization.
Provide technical leadership on ML architecture decisions, model selection, and system design trade-offs
Drive technical initiatives from concept to production, including feasibility analysis, prototyping, and deployment strategy
Mentor junior ML engineers through code reviews, technical guidance, and knowledge sharing
Collaborate with cross-functional teams to translate research outcomes into scalable, production-ready systems

Qualifications & Experience

Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field
Proven expertise in Python with strong foundation in object-oriented programming and design patterns
Experience with Python frameworks: FastAPI, Django, Celery, Streamlit
Proficiency with ML/DL frameworks: TensorFlow, PyTorch, Keras, Scikit-learn
Experience building and consuming RESTful APIs in production environments
Solid understanding of system design and architecture principles, along with MLOps practices and tools for versioning, evaluation, deployment, observability
Experience developing scripts for data pipeline management and workflow automation
Familiarity with cloud-based environments (AWS/GCP/Azure) and testing strategies for production ML systems to ensure model accuracy, performance, and reliability
Experience processing and analyzing large-scale unstructured multimodal data
Hands-on experience developing and deploying Generative AI/LLM applications with expertise in LangChain, LangGraph, vector databases, RAG systems, prompt engineering, and model optimization
Hands-on experience customizing and optimizing open-source ML models, with expertise in at least one of the following domains:
- Speech/Audio Processing tasks such as Voice Activity Detection, Speaker Diarization, Speaker Embeddings, Automatic Speech Recognition (ASR), audio classification etc.
- Computer Vision tasks such as Object detection, face recognition, image classification, video analysis
Excellent communication skills with ability to explain complex technical concepts to both technical and non-technical stakeholders
Proven ability to mentor junior ML engineers, lead technical initiatives, and work independently in dynamic, cross-functional environments

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