Senior AI Engineer/ Data Analyst

Brief DescriptionAbout 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.