Responsibilities:

  • Design and implement machine learning (ML) models and algorithms to extract insights from structured and unstructured data.
  • Develop end-to-end ML pipelines, including data collection, preprocessing, feature engineering, model training, deployment, and optimization.
  • Collaborate with data engineers and software developers to ensure data integrity, scalability, and successful integration of ML solutions into production environments.
  • Perform data analysis, exploratory data analysis (EDA), and statistical evaluations to uncover trends, patterns, and relationships within data.
  • Build, evaluate, and deploy predictive models, classification/regression algorithms, recommendation systems, and advanced analytics solutions.
  • Continuously monitor model performance in production and fine-tune as needed for continuous improvement and business impact.
  • Work with Natural Language Processing (NLP) techniques including text classification, named entity recognition (NER), sentiment analysis, topic modeling, and language generation.
  • Leverage computer vision techniques (if applicable) including image classification, object detection, and optical character recognition (OCR).
  • Familiarity with various AI models such as large language models (LLMs), generative AI, reinforcement learning, and deep learning architectures (e.g., CNNs, RNNs, Transformers).
  • Utilize Microsoft Power Tools (Power BI, Power Query, Power Automate) for building dashboards, automating workflows, and creating visual analytics for stakeholders.
  • Communicate findings and insights to both technical and non-technical stakeholders through reports, dashboards, visualizations, and presentations.
  • Stay updated with the latest research and trends in AI, ML, deep learning, and data science.
  • Collaborate with business teams to understand problems, define data-driven strategies, and deliver actionable insights.

Qualifications:

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Machine Learning, Artificial Intelligence, or a related field.
  • Proven experience (5+ years) in data science, ML engineering, or similar roles involving production-grade ML solutions.
  • Proficiency in programming languages such as Python, R, or Java.
  • Hands-on experience with ML frameworks such as TensorFlow, Keras, PyTorch, Scikitlearn.
  • Strong understanding of statistical analysis, data preprocessing techniques, and feature engineering.
  • Solid experience in using data analysis libraries and visualization tools such as Pandas, NumPy, Matplotlib, Seaborn, and Plotly.
  • Experience working with cloud platforms (AWS, GCP, or Azure) and big data tools like Spark, Hadoop, and Databricks.
  • Familiarity with SQL and NoSQL databases for data manipulation and integration.
  • Exposure to NLP frameworks (SpaCy, NLTK, HuggingFace Transformers) and real-world NLP projects.
  • Knowledge of model evaluation and tuning using metrics like accuracy, precision, recall, F1-score, AUC-ROC.
  • Strong familiarity with Microsoft Power BI, Power Automate, and Power Query for dashboarding and workflow automation.
  • Excellent problem-solving skills, attention to detail, and a structured approach to solving complex challenges.
  • Strong communication and interpersonal skills, with the ability to translate complex technical concepts into business-friendly language

Job Details

Functional Area:
Total Positions:
1 Post
Job Shift:
First Shift (Day)
Job Type:
Job Location:
Gender:
No Preference
Minimum Education:
Bachelors
Degree Title:
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Machine Learning, Artificial Intelligence, or a related field.
Career Level:
Experienced Professional
Minimum Experience:
5 Years
Apply Before:
May 18, 2025
Posting Date:
Apr 17, 2025

Orcalo Limited

Information Technology · 101-200 employees - Lahore, Rawalpindi

Orcalo is a UK based software solution provider which provides secured and compatible ERP and HRM solution for an organization, which is a web based solution for accounting, inventory, sale, purchase and legal management system

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