Python Developer - NLP, ML, Gen AI Job at Citi (Mississauga)

Python Developer - NLP, ML, Gen AI

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

3–5 years of hands-on Python programming experience
Strong fundamentals in Python, OOP, and design patterns
Experience with NLP libraries such as Flair, BERT, HuggingFace Transformers, or similar
Solid experience with PySpark, Pandas, PyArrow, and distributed data pipelines
Proficient in working with Parquet using FastParquet or pyarrow.parquet
Familiarity with fast JSON parsing libraries (json, ujson, orjson)
Experience building APIs using Flask (FastAPI is a plus)
Experience with MLflow for model tracking and deployment
Good understanding of CI/CD practices and Git workflows
Experience working with Redis or similar in-memory stores

Job Responsibility

Develop and optimize ETL/data processing jobs using PySpark, Pandas, PyArrow, and related libraries
Work with Parquet files using FastParquet or pyarrow.parquet for efficient data processing
Implement data parsing and serialization using json, ujson, or orjson for high-performance JSON handling
Build and maintain NLP pipelines using Flair, BERT, and LLM-based models
Develop scalable ingestion and data transformation pipelines for AI and analytics use cases
Build and maintain Flask-based APIs for model inference and service integrations
Use regular expressions for text cleaning, parsing, and NLP preprocessing
Integrate caching and fast lookups using Redis
Manage and deploy ML models using MLflow for tracking and versioning
Support CI/CD workflows using GitHub, LightSpeed Enterprise, and deployment pipelines

Fulltime

Python Developer - NLP, ML, Gen AI - Assistant Vice President

We are looking for a mid-level Python Developer - NLP, ML, Gen AI with combined ...

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

3–5 years of hands-on Python programming experience
Strong fundamentals in Python, OOP, and design patterns
Experience with NLP libraries such as Flair, BERT, HuggingFace Transformers, or similar
Solid experience with PySpark, Pandas, PyArrow, and distributed data pipelines
Proficient in working with Parquet using FastParquet or pyarrow.parquet
Familiarity with fast JSON parsing libraries (json, ujson, orjson)
Experience building APIs using Flask (FastAPI is a plus)
Experience with MLflow for model tracking and deployment
Good understanding of CI/CD practices and Git workflows
Experience working with Redis or similar in-memory stores

Job Responsibility

Develop and optimize ETL/data processing jobs using PySpark, Pandas, PyArrow, and related libraries
Work with Parquet files using FastParquet or pyarrow.parquet for efficient data processing
Implement data parsing and serialization using json, ujson, or orjson for high-performance JSON handling
Build and maintain NLP pipelines using Flair, BERT, and LLM-based models
Develop scalable ingestion and data transformation pipelines for AI and analytics use cases
Build and maintain Flask-based APIs for model inference and service integrations
Use regular expressions for text cleaning, parsing, and NLP preprocessing
Integrate caching and fast lookups using Redis
Manage and deploy ML models using MLflow for tracking and versioning
Support CI/CD workflows using GitHub, LightSpeed Enterprise, and deployment pipelines

Fulltime

Gen AI Python Developer

The Applications Development Intermediate Programmer Analyst is an intermediate ...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

4-8 years of relevant experience in Apps Development or systems analysis role
Strong foundational knowledge in Machine Learning (ML modeling), Data Science, Statistics, and AI fundamentals, including Natural Language Processing (NLP), Neural Networks, and Large Language Models (LLMs)
Extensive hands-on experience with leading LLMs such as Google Gemini, OpenAI models, Anthropic Claude, Mistral, Llama, and various other open-source LLMs
Deep working knowledge and hands-on experience with Retrieval-Augmented Generation (RAG) pipelines, including advanced RAG techniques and their detailed implementation
Proven ability to build, tune, and deploy LLM-based applications using platforms like Vertex AI, Hugging Face, etc.
Expertise in developing robust prompt engineering strategies, prompt tuning, and creating reusable prompt templates
Hands-on experience with agentic framework-based use case implementation
Working knowledge of Guardrails and methodologies for assessing the performance and safety of GenAI features
Strong programming proficiency in Python, including extensive experience with libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn, LangChain, and LlamaIndex
Proficiency in integrating generative AI with enterprise applications using APIs, knowledge graphs, and orchestration tools

Job Responsibility

Participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team
Contribute to applications systems analysis and programming activities

Fulltime

AI Solution Developer II / Senior AI Solution Developer

This role will work within our Scientific Data Technology and AI department whic...

Location

United Kingdom

Salary:

Not provided

Parexel

Expiration Date

Until further notice

Requirements

Educated to BSc. or MSc level in Engineering or Computer Science with a focus on Machine Learning (and GenAI) or other equivalent qualification/experience
Experience in Palantir Foundry, it’s ecosystem and components, including building Workshop Apps, building and deploying Modelling Objectives and managing Code Repos and Pipelines
Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry)
Proven CS fundamentals including data structures, algorithms, and distributed systems
Proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc.
Proven software engineering fundamentals, including the ability to write production ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry
Knowledge of Python and scientific computing packages (PyTorch, NumPy, Scikit-learn, TensorFlow)
Experience with data modeling and pipeline development in Palantir Foundry
Experience with frontend development for intuitive user experience
Practical understanding of database technologies including relational, non-relational and graph

Job Responsibility

Leverage Palantir Foundry to build and deploy reusable custom machine learning models, Ontologies and end-user applications
Design, implement, and document new ML/Gen AI modeling techniques and strategies
Develop ML pipelines and workflows in Foundry to support AI solution development and deployment
Review and adapt recent research in ML and Gen AI into Foundry-based prototypes and production solutions
Review code and pipelines of other engineers to enhance ML quality and security within Foundry
Understand business needs and user workflows and support interpretation in the context of potential AI solutions in Foundry
Support development of custom models and AI / Gen AI solutions using Foundry's ML capabilities to address business needs
Lead experiment and model evaluation design based on well-founded best practices in machine learning to ensure safe, effective, and principled AI development practices within Foundry
Carry out AI solution prototyping and experimentation using Foundry's tools, various LLMs and environments
Collaborate with Product to define and implement features to satisfy customer requirements within Foundry

What we offer

competitive base salary
holiday
private healthcare
dental insurance

Fulltime

Senior Gen AI Developer

We are seeking an experienced Senior Generative AI Developer to help drive the d...

Location

India , Chennai; Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in Computer Science, Data Science, AI, or a related field
5–7 years of experience in AI/ML, including significant experience in Generative AI
Demonstrated portfolio of successful AI-driven projects in a business environment
Experience working with AWS (or equivalent) cloud infrastructure for AI/ML
Strong hands-on experience with LLMs and fine-tuning methods such as LoRA, QLoRA, Adapter/Prefix Tuning, and instruction tuning
Practical knowledge of model optimization (compression, quantization) and familiarity with tools such as DeepSpeed, vLLM, GPTQ, or similar
Proficient in prompt engineering and familiarity with prompt design tools/frameworks
Experience building RAG systems, including hybrid search and multi-vector retrieval
Proficient with machine learning frameworks (PyTorch, TensorFlow, Keras) and distributed training
Strong skills in NLP (NER, Dependency Parsing, Text Classification, Topic Modeling), transfer learning, and advanced learning paradigms

Job Responsibility

Collaborate with AI architects, leads, and stakeholders to design and implement generative AI solutions that address business challenges
Develop, fine-tune, and optimize large language models (LLMs), leveraging both parameter-efficient techniques and full fine-tuning where applicable
Implement and experiment with advanced generative AI methods, including prompt engineering and Retrieval-Augmented Generation (RAG)
Support the integration of AI models into production environments, ensuring robust deployment, scalability, and maintainability
Contribute to the development and optimization of real-time and streaming AI solutions
Stay current with the latest advances in generative AI and actively share knowledge with the team
Ensure adherence to ethical AI guidelines, data privacy, and compliance standards
Mentor junior team members, provide code reviews, and foster a culture of technical excellence

Fulltime

Senior Data Scientist – Gen AI Engineer - Assistant Vice President

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
8–12 years of experience as a Data Scientist or equivalent role, with at least 2 years of specialized, hands-on experience in Generative AI, including leading technical development and mentoring teams.
Demonstrable experience across the full lifecycle of production-level GenAI projects — from ideation and prototyping through deployment, monitoring, and ongoing maintenance in live environments.
Expert-level Python proficiency
Scikit-learn, XGBoost, LightGBM
PyTorch
Hugging Face Transformers, LangChain, LlamaIndex, Semantic Kernel
LangGraph, CrewAI, AutoGen
Transformer architectures
RAG patterns

Job Responsibility

Working with financial and enterprise data, applying modern NLP and GenAI techniques to solve business problems.
Designing, refining, and systematizing prompt engineering strategies for large language models (LLMs), including structured prompting, chain-of-thought, and few-shot/zero-shot approaches.
Collaborating with business stakeholders to translate requirements into GenAI-powered solutions.
Developing, testing, and maintaining production-grade Python code for GenAI applications.
Integrating with vector databases (e.g., Pinecone, Weaviate, Milvus, pgvector, Qdrant) for retrieval-augmented generation (RAG) pipelines.
Building, monitoring, and optimizing MLOps/LLMOps pipelines for continuous model deployment and observability.
Researching and evaluating emerging GenAI technologies, frameworks, and best practices to maintain competitive advantage.
Troubleshooting and debugging GenAI models and agentic systems in production, including rapid identification and resolution of issues in real-world deployments.
Communicating complex AI/ML concepts clearly to non-technical stakeholders, translating technical jargon into actionable business terms.
Participating in and leading team meetings, design reviews, and architecture discussions.

Fulltime

Azure AI Platform Engineer

We are currently seeking a Azure AI Platform Engineer to join our team in Plano,...

Location

United States , Plano

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

7+ years of experience with Azure architecture and Azure Kubernetes
3+ years of experience with AI platform engineering, ModelOps
Exercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence
Apply statistical skills and advanced statistical techniques and concepts
Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn
Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc
Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models
Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases
Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc
Display proficiency in programming languages such as Python and understanding of various Python packages

Job Responsibility

Exercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence
Apply statistical skills and advanced statistical techniques and concepts
Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn
Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc
Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models
Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases
Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc
Display proficiency in programming languages such as Python and understanding of various Python packages
Experience with TensorFlow, PyTorch, or Keras
Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients

Fulltime

Senior Test Engineer- AI Testing

Location

Morocco , Rabat

Salary:

Not provided

Cyclad Sp. z o.o.

Expiration Date

Until further notice

Requirements

Experience: 6 - 8 years
Strong experience in software testing (manual + automation) with focus on AI systems
Hands-on expertise in Python for test automation, data validation, and AI testing scripts
Knowledge of Gen AI frameworks (Langchain, Langgraph, CrewAI)
Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI)
Strong understanding of data validation, model evaluation metrics, and drift detection
API testing experience (REST, GraphQL) with tools like Postman or REST Assured
Solid knowledge of cloud platforms (AWS, Azure, GCP) for AI deployments
Exposure to AI ethics and compliance testing
Knowledge of containerization & orchestration (Docker, Kubernetes)

Job Responsibility

Design and execute test strategies for machine learning models (classification, regression, NLP, CV, etc.)
Validate model accuracy, fairness, bias detection, explainability, and robustness under varying datasets
Perform adversarial testing and edge-case validation for AI systems
Test autonomous agents, multi-step reasoning paths, and state transitions
Validate correctness, grounding, consistency, and safety of LLM outputs
Evaluate prompt robustness and behavioral variations across scenarios
Validate retrieval accuracy, grounding quality, and hallucination reduction
Test vector store behavior, document chunking logic, and retriever configurations
Validate fallback behaviors when tools or external services fail
Execute adversarial, prompt-injection, and red team style testing

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Python Developer - NLP, ML, Gen AI

Job Description

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