We are looking for a versatile and highly skilled Lead-Data Analyst / AI Engineer to join our innovative team. This unique role combines the strengths of a data scientist with the capabilities of an AI engineer, allowing you to dive deep into data, extract meaningful insights, and then build and deploy cutting-edge Machine Learning, Deep Learning, and Generative AI models. You will play a crucial role in transforming raw data into strategic assets and intelligent applications.

Skills

• Analytical skills
• Problem Solving
• Python
• Machine Learning
• Deep Learning

Requirements

• Job Role Lead-AI Engineer/Data Analyst
• Job Type Full Time
• Workplace Type Onsite
• Industry Software Development

Secondary locations

About

Not provided

Responsibilities

Data Analysis & Insight Generation:

• Perform in-depth Exploratory Data Analysis (EDA) to identify trends, patterns, and anomalies in complex datasets.
• Clean, transform, and prepare data from various sources for analysis and model development.
• Apply statistical methods and hypothesis testing to validate findings and support data-driven decision-making.
• Create compelling and interactive BI dashboards (e.g., Power BI, Tableau) to visualize data insights and communicate findings to stakeholders.

  Machine Learning & Deep Learning Model Development:

• Design, build, train, and evaluate Machine Learning models (e.g., regression, classification, clustering) to solve specific business problems.
• Develop and optimize Deep Learning models, including CNNs for computer vision tasks and Transformers for Natural Language Processing (NLP).
• Implement feature engineering techniques to enhance model performance.

Generative AI Implementation:

• Explore and experiment with Large Language Models (LLMs) and other Generative AI techniques.
• Implement and fine-tune LLMs for specific use cases (e.g., text generation, summarization, Q&A).
• Develop and integrate Retrieval Augmented Generation (RAG) systems using vector databases and embedding models.
• Apply Prompt Engineering best practices to optimize LLM interactions.
• Contribute to the development of Agentic AI systems that leverage multiple tools and models.

Other Requirements

Data Science & Analytics:

·      Strong proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn).

·      Proven experience with Exploratory Data Analysis (EDA) and statistical analysis.

·      Hands-on experience developing BI Dashboards using tools like Power BI or Tableau.

·      Understanding of data warehousing and data lake concepts.

o  Machine Learning:

·      Solid understanding of various ML algorithms (e.g., Regression, Classification, Clustering, Tree-based models).

·      Experience with model evaluation, validation, and hyperparameter tuning.

o  Deep Learning:

·      Proficiency with Deep Learning frameworks such as TensorFlow, Keras, or PyTorch.

·      Experience with CNNs (Convolutional Neural Networks) and computer vision concepts (e.g., OpenCV, object detection).

·      Familiarity with Transformer architectures for NLP tasks.

o  Generative AI:

·      Practical experience with Large Language Models (LLMs).

·      Understanding and application of RAG (Retrieval Augmented Generation) systems.

·      Experience with Fine-tuning LLMs and Prompt Engineering.

·      Familiarity with frameworks like LangChain or LlamaIndex.

·      Problem-Solving: Excellent analytical and problem-solving skills with a strong ability to approach complex data challenges.

Educational Qualification:

• Bachelor’s or Master's degree in Computer Science, Information Technology, or a related field (or equivalent experience).

Good to have

• Experience with cloud-based AI/ML services (e.g., Azure ML, AWS SageMaker, Google Cloud AI Platform).
•  Familiarity with MLOps principles and tools (e.g., MLflow, DVC, CI/CD for models).
•  Experience with big data technologies (e.g., Apache Spark).

About the Company

Appfabs Incorporation is an ISO 9001:2015 | ISO 27001 certified software company in Toronto established in 2016. Appfabs Inc was found by a management team experienced with leading engineering & technological companies worldwide. We helped companies achieve their technological platform objective and profitable growth backed by the world's most comprehensive digital solutions.