Senior AI/ML Engineer

Role Title: Senior AI/ML Engineer

Key Responsibilities:

• Build and optimize AI/ML pipelines for predictive modeling, NLP, and generative AI applications.

• Perform Exploratory Data Analysis (EDA), data mining, and visualization to extract insights.

• Design and implement Big Data solutions using Hadoop, Spark, PySpark, and DataLake architectures.

• Develop and deploy ML models (supervised, unsupervised, tree-based, ensemble methods).

• Implement deep learning architectures (CNN, RNN, LSTM) using TensorFlow, PyTorch, and Keras.

• Work on NLP and Generative AI tasks including embeddings, transformers (BERT, GPT), and OpenAI APIs.

• Integrate agentic AI frameworks (LangChain, LangGraph, MCP, Bedrock Agents) for autonomous workflows.

• Collaborate with cross-functional teams to deploy AI solutions in production environments.

• Ensure scalability, security, and compliance of AI systems.

Required Skills:

Analytical Tools:

• EDA, Data Mining, Visualization (Plotly, Matplotlib, Seaborn)

• Statistical & Multivariate Analysis

Big Data:

• Hadoop, MapReduce, HDFS, DataBricks, Spark, PySpark

• DataLake Architecture, AWS Redshift, Kinesis, EMR

Machine Learning

• Supervised Models: Naïve Bayes, Logistic Regression, SVM, Linear Regression, KNN

• Tree-Based Models: Decision Trees, Random Forest, Gradient Boosted Trees, XGBoost

• Unsupervised Models: K-Means, DBSCAN, Hierarchical Clustering

Deep Learning

• ANN, CNN, RNN, LSTM

• Frameworks: TensorFlow (Gradient Tape), PyTorch NN, Keras Sequential

NLP & Generative AI

• NLTK, CBoW, n-grams, Word2Vec, TF-IDF, Word Embeddings

• Transformers: BERT, ELMo

• OpenAI Models: GPT-3.5 Turbo, GPT-4o, GPT-3o Reasoning, text-embedding-ada-002

Libraries & Tools

• numpy, pandas, scipy, scikit-learn, tensorflow, keras, nltk, matplotlib, seaborn, plotly

Programming Languages

• Python, R, C++, C#, Java, , HTML, SQL

Agentic AI

• OpenAI Agents SDK, Model Context Protocol (MCP), LangChain, LangGraph, Bedrock Agents, CrewAI, Helicone