Senior AI Engineer

We are looking for a versatile and highly skilled 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.

Key Responsibilities:

·      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.

Required Skills & Experience:

Data Science & Analytics:

Python

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:

TensorFlow, Keras, or PyTorch

CNNs

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:

Good to Have:

o  Experience with cloud-based AI/ML services (e.g., Azure ML, AWS SageMaker, Google Cloud AI Platform).

o  Familiarity with MLOps principles and tools (e.g., MLflow, DVC, CI/CD for models).

o  Experience with big data technologies (e.g., Apache Spark).

Educational Qualification:

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

Please share your resume to the mail id: careers@appfabs.in