Senior Data Scientist Job - AI, ML & Generative AI Role

Devsinc; Lahore; On-site; PKR 2,902,000 - 4,687,000; Full time

Job summary

Devsinc in Lahore, Pakistan seeks a Senior Data Scientist with 3+ years of hands-on experience in data science, ML, AI, and predictive analytics. You will transform complex data into actionable business insights using Python, Pandas, NumPy, and ML frameworks.

You will develop, train, evaluate, and deploy models, collaborate with engineers and stakeholders, and leverage Generative AI, LLMs, and cloud AI services to deliver scalable solutions.

Qualifications

• 3+ years of data science experience with ML/AI in a professional setting.
• Strong Python skills with Pandas, NumPy, and Scikit-learn.
• Hands-on ML/DL experience with TensorFlow or PyTorch.
• Experience with Generative AI, LLMs, and prompt engineering.
• Proficient in SQL, data visualization, and building REST APIs (FastAPI/Flask).

Responsibilities

• Collect, clean, and analyze structured and unstructured data to identify patterns.
• Develop, train, evaluate, and optimize ML models for real-world use.
• Build predictive models, classifiers, regressors, and forecasting solutions.
• Use Python libraries for data analysis, visualization, and model development.
• Work with TensorFlow, PyTorch, and Keras.
• Leverage AI tools, Generative AI, LLMs and prompt engineering to build intelligent apps.
• Apply statistical analysis, hypothesis testing, feature engineering, and validation.
• Develop data pipelines and deploy models via APIs and backend services.
• Collaborate with software engineers, data engineers, product managers, and stakeholders.
• Monitor deployed models, evaluate performance, detect data drift, and improve.
• Document processes, architectures, experiments, and findings.
• Stay updated with emerging AI technologies and industry best practices.

Skills

Python

Pandas

NumPy

Scikit-learn

Machine Learning

Deep Learning

TensorFlow

PyTorch

Generative AI

LLMs

Prompt engineering

RAG

LangChain

LlamaIndex

Hugging Face

OpenAI APIs

SQL

Data visualization

Statistics

FastAPI

Flask

AWS

Azure

GCP

Docker

Git

MLflow

Education

Bachelor's degree in CS/DS/AI/Statistics/Mathematics

Master's degree in CS/DS/AI/Statistics/Mathematics

Tools

LangChain

LlamaIndex

Hugging Face

OpenAI APIs

MLflow

Docker

Git

FastAPI

Flask

AWS

Azure

GCP

Job description

We are looking for a skilled and results-driven Senior Data Scientist with 3+ years of professional experience in data science, machine learning, artificial intelligence, and predictive analytics. The ideal candidate should have strong expertise in Python, machine learning frameworks, statistical modeling, and AI-powered tools, with the ability to transform complex datasets into actionable business insights.

The candidate will be responsible for developing, training, evaluating, and deploying machine learning models, leveraging modern AI tools and frameworks to build scalable, data-driven solutions. Experience with Generative AI, Large Language Models (LLMs), and cloud-based AI services will be considered a strong advantage.

Key Responsibilities

• Collect, clean, process, and analyze structured and unstructured datasets to identify patterns, trends, and business opportunities.
• Develop, train, evaluate, and optimize machine learning and deep learning models for real-world applications.
• Build predictive models, classification and regression systems, recommendation engines, and forecasting solutions.
• Use Python libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn for data analysis, visualization, and model development.
• Work with machine learning and deep learning frameworks, including TensorFlow, PyTorch, and Keras.
• Leverage AI tools, Generative AI, LLMs, and prompt engineering techniques to develop intelligent applications and automate workflows.
• Apply statistical analysis, hypothesis testing, feature engineering, and model validation techniques to improve model performance.
• Develop data pipelines and integrate machine learning models into production applications through APIs and backend services.
• Collaborate with software engineers, data engineers, product managers, and business stakeholders to deliver AI-driven solutions.
• Monitor deployed models, evaluate performance, identify data drift, and implement improvements.
• Document technical processes, model architectures, experiments, and analytical findings.
• Stay updated with emerging AI technologies, machine learning methodologies, and industry best practices.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field.
• Strong proficiency in Python, Pandas, NumPy, and Scikit-learn.
• Hands-on experience with Machine Learning, Deep Learning, TensorFlow, or PyTorch.
• Knowledge of Generative AI, LLMs, prompt engineering, RAG, and AI tools/frameworks such as LangChain, LlamaIndex, or Hugging Face.
• Strong understanding of statistics, data analysis, feature engineering, and model evaluation.
• Experience with SQL, data visualization tools, and REST APIs using FastAPI or Flask.
• Familiarity with AWS, Azure, or GCP, Docker, Git, and MLOps tools such as MLflow.
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with Generative AI, LLMs, RAG (Retrieval-Augmented Generation), embeddings, and vector databases.
• Familiarity with AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, OpenAI APIs, or equivalent technologies.
• Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Knowledge of MLOps practices, model monitoring, CI/CD pipelines, MLflow, or similar experiment-tracking tools.
• Experience processing large datasets and working with data engineering pipelines.
• Familiarity with NLP, computer vision, recommendation systems, or time-series forecasting