Ai/ML Engineer

5 days ago

Karachi, Sindh, Pakistan MobiTising Full time 1,200,000 - 3,600,000 per year

Mid‑Level AI/ML Engineer (Experienced Professionals Only)

Company:
Mobitising Inc.

Location:
Karachi (Onsite)

Experience:
Minimum
2+ years
in AI/ML engineering

Employment Type:
Full-Time

Role Overview

Join Mobitising's AI team to work on thrilling projects across
generative models
,
agentic systems
,
multi‑modal AI
, and robust predictive systems. You'll be involved in everything from
data acquisition and cleaning
to
LLM fine‑tuning
and
production deployments
, ensuring real-world innovation and product impact.

Key Responsibilities

l Design and deploy models in areas such as:


TTS (Text‑to‑Speech)
and
Speech Recognition


OCR
,
Image/Video/Music Generation
,
Vision
(CNNs, GANs, Detectron2)


Prompt Engineering
,
RAG pipelines
,
Agentic AI systems
,
LLMOps
,
LLM fine‑tuning

l Implement NLP-based projects including summarization, chatbots, sentiment analysis using Hugging Face, spaCy, NLTK

l Scrape, integrate, and preprocess large-scale datasets using
API integration
,
web crawling
,
ETL automation
,
Spark
,
Kafka
,
dbt
,
Airflow

l Build MLOps pipelines for reproducible ML production:
CI/CD
,
versioning
,
monitoring
,
model compression
,
pruning
,
quantization

l Optimize deployments including
edge AI/inference
, using frameworks like TensorFlow Lite, PyTorch Mobile, NVIDIA Jetson, AWS IoT Greengrass, Azure IoT Edge

Technical Stack

l 
Programming:
Python (NumPy, Pandas, scikit‑learn), JavaScript; familiarity with Rust or JAX a plus

l 
Frameworks/Libraries:
Django, PyTorch 2.0, TensorFlow, Keras, OpenCV, Stable Baselines or Gym (for RL), Hugging Face Transformers

l 
Large Language Models & Tools:
LLM fine‑tuning, prompt chaining and engineering, LangChain, RAG systems, vLLMs, gemini/OpenAI / Anthropic / Hugging Face APIs

l 
AI Agents & Autonomous Systems:
Agentic AI development using reinforcement learning, multi-agent orchestration

l 
Databases & Backend:
frontend, FastAPI/Django backend, relational/non-relational databases, vector DBs (FAISS, Weaviate)

l 
Cloud & DevOps:
AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure ML; containerization with Docker/Kubernetes; MLOps tools like MLflow, Kubeflow, TFX

Additional Responsibilities

l Collaborate in an Agile environment using Git workflows, Jira, and CI/CD pipelines

l Ensure
responsible AI
: implement fairness, bias mitigation, explainability (XAI), privacy-preserving methods (differential privacy, homomorphic encryption) and follow legal frameworks (e.g., EU AI Act, GDPR)

l Keep pace with
AI ethics, governance
, and regulatory trends

l Translate AI models into tangible business outcomes and user value

Required Skills

l Solid foundation in
Python
,
Django
, and

l Demonstrated experience with
machine learning
,
deep learning
, and
LLMs

l Hands-on in
data scraping
,
ETL pipelines
, and data preprocessing

l Proficiency with
prompt engineering
,
LLM fine-tuning
,
RAG
,
agentic systems

l Full-stack delivery: backend API development and frontend integration

l Experience in
containerized deployment
,
MLOps automation
, and
monitoring

l Strong algorithmic thinking: OOP, data structures, DSA, algorithm analysis

Preferred Qualifications

l Bachelor's or Master's in CS, AI, Data Science, or related field

l 2+ years of industry experience working with modern AI engineering challenges

l Portfolio featuring GitHub, open-source contributions, or demonstrated AI production results

l Experience with
edge AI
,
reinforcement learning
,
graph neural networks
or
Rust/JAX optimization


To Apply:

Send your resume to

Subject:
Application for
Mid‑Level AI/ML Engineer

Become a part of our growing tech family at MobiTising — where innovation meets opportunity

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