Senior Data Scientist

5 days ago


Lahore, Punjab, Pakistan DevConsole Full time 3,000,000 - 4,000,000 per year

Job Title: Data Science Engineer (AI/ML Expertise)

Company name: DevConsole

Location: On-site ( Eithad town, Raiwand road Lahore)

Job Type: Contractual

Experience: 3+ years

Salary: 120k - 250k

Timings: 9:00 pm - 4:00 am

Job Overview:

We are seeking a highly skilled Data Science Engineer with strong expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our fast-paced, innovation-driven engineering team.

The ideal candidate will be responsible for designing, developing, and deploying scalable machine learning solutions, building intelligent data pipelines, and integrating AI-driven insights into production systems.

You will work closely with cross-functional teams — including data engineers, product managers, and software developers — to transform raw data into actionable intelligence and production-ready ML models.

Key Responsibilities:

  • Design and implement end-to-end machine learning and deep learning models for predictive analytics, NLP, and computer vision use cases.
  • Build and optimize data pipelines and ETL workflows for efficient model training and inference.
  • Develop and maintain AI/ML microservices using Python (FastAPI, Flask, or Django) and integrate them into enterprise systems.
  • Perform exploratory data analysis (EDA), feature engineering, and statistical modeling to extract business insights.
  • Research, experiment with, and apply cutting-edge AI techniques (transformers, LLMs, reinforcement learning, etc.).
  • Deploy, monitor, and scale ML models in production environments using MLOps tools and cloud platforms (AWS, Azure, or GCP).
  • Collaborate with data engineers to ensure data quality, governance, and real-time accessibility.
  • Use version control, CI/CD, and containerization tools (Git, Docker, Kubernetes) to streamline model deployment.
  • Continuously evaluate model performance and retrain pipelines to ensure accuracy and reliability.
  • Present data-driven insights and AI strategies to both technical and non-technical stakeholders.

Required Skills & Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field.
  • 3+ years of hands-on experience in data science, AI, and machine learning engineering.
  • Strong programming skills in Python and proficiency with ML frameworks: TensorFlow, PyTorch, Scikit-learn, Keras.
  • Deep understanding of machine learning algorithms, deep learning architectures (CNN, RNN, LSTM, Transformers), and NLP techniques.
  • Experience with data manipulation tools: Pandas, NumPy, Dask, Spark, or Hadoop.
  • Solid knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB, Cassandra, Redis).
  • Proven experience in deploying ML models to production using APIs or containerized solutions.
  • Familiarity with cloud and DevOps tools: AWS (S3, SageMaker, Lambda, EC2), Azure ML, or GCP AI Platform.
  • Strong background in data visualization (Matplotlib, Seaborn, Power BI, or Tableau).
  • Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications:

  • Experience building AI-driven systems in healthcare, fintech, or SaaS environments.
  • Exposure to big data streaming (Kafka, Flink) and real-time ML inference.
  • Understanding of MLOps practices — model versioning, monitoring, and retraining pipelines.
  • Contributions to open-source AI/ML projects or research publications.
  • Familiarity with LLMs, generative AI, and prompt engineering.

What We Offer:

  • Competitive salary and performance-based incentives.
  • Exposure to large-scale AI-driven projects with measurable business impact.
  • Professional growth opportunities with access to state-of-the-art ML infrastructure.
  • Collaborative team culture with mentorship and innovation at its core.

If you are intrested kindly share your resume with subject Data Scientist at -

Job Type: Contract

Contract length: 3 months

Pay: Rs120, Rs300,000.00 per month

Work Location: In person

Expected Start Date: 13/10/2025


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