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Appfabs Innovation (P) Ltd

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

Senior AI Engineer/ Data Analyst

Closing Date:18,Aug 2025
Job Published: 04,July 2025
Contact Email: careers@appfabs.in

Brief Description

About the Role:

We are looking for a versatile and highly skilled Senior 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: 3 years to 6 years

Location: Appfabs Innovation, Technopark, TVM

Open Positions : 6

Employment Type: Full-Time

Key Responsibilites:

  •   ·       Data Analysis & Insight Generation:

o   Perform in-depth Exploratory Data Analysis (EDA) to identify trends, patterns, and anomalies in complex datasets.

o   Clean, transform, and prepare data from various sources for analysis and model development.

o   Apply statistical methods and hypothesis testing to validate findings and support data-driven decision-making.

o   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:

o   Design, build, train, and evaluate Machine Learning models (e.g., regression, classification, clustering) to solve specific business problems.

o   Develop and optimize Deep Learning models, including CNNs for computer vision tasks and Transformers for Natural Language Processing (NLP).

o   Implement feature engineering techniques to enhance model performance.

  •   ·       Generative AI Implementation:

o   Explore and experiment with Large Language Models (LLMs) and other Generative AI techniques.

o   Implement and fine-tune LLMs for specific use cases (e.g., text generation, summarization, Q&A).

o   Develop and integrate Retrieval Augmented Generation (RAG) systems using vector databases and embedding models.

o   Apply Prompt Engineering best practices to optimize LLM interactions.

o   Contribute to the development of Agentic AI systems that leverage multiple tools and models.

Preferred Skills

      Required Skills & Experience:

  •   ·           Data Science & Analytics:

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

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

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

o   Understanding of data warehousing and data lake concepts.

  •   ·           Machine Learning:

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

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

  •   ·            Deep Learning:

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

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

o   Familiarity with Transformer architectures for NLP tasks.

  •   ·          Generative AI:

o   Practical experience with Large Language Models (LLMs).

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

o   Experience with Fine-tuning LLMs and Prompt Engineering.

o   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 drop your resume :careers@appfabs.in

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