Appfabs Innovation (P) Ltd

Modules No. 11, Gayathri Building, Phase I, Technopark Campus, Thiruvanthapuram , 695581

https://www.appfabs.ca

Lead-AI Engineer/Data Analyst

Closing Date:21,Aug 2025

Job Published: 07,July 2025

Contact Email: careers@appfabs.in

Brief Description

About the Role:

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.

Experience Required : 6 Years to 10 Years

Location : Appfabs Innovation

Open Positions :3

Employement Type:Full Time

Key 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.

Preferred Skills

Required Skills & Experience:

· 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.

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).

Educational Qualification:

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

Interested candidates please share your resume with us at careers@appfabs.in

Please mention the position you are applying for in the subject line.