Gen AI MLAIData Scientist

Gen AI Python

McLean VA(Onsite)

Fulltime

Job Summary:

We are looking for motivated and enthusiastic trainees with a strong foundation in programming and emerging technologies. The ideal candidates should have hands-on knowledge of modern programming languages familiarity with AI-enabled tools and strong communication skills to effectively collaborate with teams and stakeholders

Key Responsibilities:

Develop and Enhance GenAI Solutions : Build fine-tune and optimize LLM-based applications ensuring high accuracy reliability and performance.

Implement RAG and AI Pipelines : Create end-to-end GenAI workflows using vector databases embeddings and cloud-based model orchestration.

Integrate AI into Products : Work with APIs microservices and backend systems to embed GenAI features into applications at scale.

Monitor and Improve Model Performance : Conduct evaluations A/B tests and model drift checks while applying prompt engineering and optimization techniques.

Collaborate and Ensure Responsible AI : Partner with cross-functional teams to implement secure compliant and ethically aligned AI systems

Required Skills & Qualifications:

Design build and optimize GenAI solutions using LLMs transformer-based models and multimodal architectures for real-world business applications.

Fine-tune and evaluate pre-trained models (e.g. GPT Llama Claude Gemini) using domain-specific datasets to improve accuracy and performance.

Develop scalable AI pipelines including data ingestion model training inference services and deployment on cloud platforms (Azure/AWS/GCP).

Implement Retrieval-Augmented Generation (RAG) using vector databases (Pinecone FAISS Chroma DB Azure AI Search) to enable enterprise-grade QA and summarization systems.

Integrate GenAI models into applications via APIs SDKs microservices or custom backend frameworks (Python/).

Optimize model performance through prompt engineering model compression quantization and latency reduction techniques.

Collaborate with cross-functional teams (data engineers product owners designers) to translate business needs into AI capabilities.

Ensure security compliance and responsible AI practices including data privacy model monitoring bias mitigation and ethical guidelines.

Conduct experimentation and benchmarking to evaluate model performance run A/B tests and document results for continuous improvement.

Stay up to date with the latest advancements in generative AI LLM frameworks and open-source tools while contributing to internal innovation initiatives.

AI/ML Developer

Cleveland OH

Fulltime

Job Description

• AI/ML Knowledge: Familiarity with core AI/ML concepts technologies and the AI project lifecycle (from data preparation to model deployment).
• Data Literacy: Understanding of data concepts data sources data quality and collaboration with data professionals.
• Strong programming background in Python deep understanding of machine learning algorithm.
• Evaluate and select appropriate AI frameworks tools and cloud services.
• Lead the architecture design and integration of AI models into production systems and enterprise applications.
• Communication Skills: Ability to communicate effectively with technical and non-technical stakeholders translate complex AI concepts and present project updates.
• Leadership and Team Building: Ability to inspire and motivate teams foster a collaborative environment and manage diverse skill sets.

Senior AI/ML Engineer

Oakland CA(Onsite)

Fulltime

Required Skills & Experience

Strong programming skills in Python (preferred) with experience in data science libraries.

Solid understanding of machine learning fundamentals model evaluation and optimization.

Hands on experience with AWS ML and cloud services.

Experience with REST APIs microservices and distributed systems.

ML / AI Frameworks

scikit learn XGBoost eval

Experience with LLMs prompt engineering RAG and agent frameworks is a strong plus.

MLOps: Strong knowledge of deploying ML models into production and managing their day to day operations including monitoring retraining and performance optimization.

Data & Engineering

Experience working with structured and unstructured data.

Strong SQL and data analysis skills.

Knowledge of data governance security and privacy principles.

GEN -AI

Experience with GenAI / Agentic AI architectures

Exposure to geospatial or domain specific analytics (e.g. GIS operations data)

Knowledge of Responsible AI explainability and audit requirements

Familiarity with VS Code GitHub Copilot and AI assisted development tools

AWS certification (AI/ML or Cloud) is a plus

ML Ops Technical Architect

Atlanta GA or Remote

Fulltime

Job Description

Must Have Technical/Functional Skills

Technical Skills -

• Programming Languages: Python Java
• Agentic AI : Google ADK A2A LangChain/LangGraph CrewAI Semantic Kernel/Autogen and Open AI Agentic SDK
• Tool Integration: Gemini Tools Custom MCP tools
• Machine Learning Frameworks: Experience with TensorFlow PyTorch and AutoML.
• Generative AI: Hands-on experience with generative AI models RAG (Retrieval-Augmented Generation) architecture and Natural Language Processing (NLP).
• Cloud Platforms: Google Cloud Platform (GCP) Vertex AI and Kubeflow
• Data Engineering: Proficiency in data preprocessing and feature engineering.
• Version Control: Experience with GitHub for version control.
• Data Science Practices: Skills in building models testing/validation and deployment.
• Databases: DB2 Oracle BigQuery BigData Cassandra PostGRES
• Collaboration: Experience working in an Agile framework.
• RAG Architecture: Experience with data ingestion data retrieval and data generation using optimal methods such as hybrid search.
• Good to Have: Knowledge in GPU programming GPU profiling GPU optimizations & TensorRT

Functional Skills -

• Experience working with customers in Retail Domain
• Knowledge in Retail Pricing functionalities is a plus

Roles & Responsibilities

• Meet with IT and Business teams to understand the requirements and opportunities
• Architect systems for AI/ML agent-based AI workflows.
• Lead the design and development of AI/ML ML Ops & Agentic AI solutions
• Develop and optimize ML models pipelines and orchestration logic
• Deploy AI/ML Models LLM-based pipelines agent orchestration and vector-based memory systems
• Work closely with data scientists ML engineers DevOps and software engineers to ensure seamless integration and deployment of solutions
• Drive technical strategy tooling and infrastructure decisions.
• Provides management with timely communication on status & utilizes appropriate tools and/or develops custom solutions as required to meet objectives.
• Identifies areas for process improvement.
• Maintains appropriate communication within the team and across various teams (i.e. internal and external).

AI & ML Data Analyst

Atlanta GA or Remote

Fulltime

Job Description

Must Have Technical/Functional Skills

• AI & ML Data Analyst with Google Big query Google cloud components and any reporting tool (Tableau or Looker preferred)

Roles & Responsibilities

• Implementing Gen AI and ML solutions on Enterprise warehouse data.
• Analyzed data using tools like SQL Excel to uncover trends and actionable insights.
• Performed data validation and quality checks to improve data integrity across systems.
• Collaborated with cross-functional teams to understand data needs and deliver insights.
• Wrote complex SQL queries to extract and manipulate data from relational databases.
• Conducted exploratory data analysis (EDA) to identify patterns anomalies and opportunities.
• Presented findings to stakeholders through clear visualizations and storytelling.
• Identified process improvement opportunities through data-driven analysis.
• Documented data definitions processes and workflows for better transparency.
• Developed and maintained automated reporting processes reducing manual effort and errors.
• Built interactive dashboards and reports using Tableau or any reporting tool to support business decisions.
• Collected cleaned and validated large datasets to ensure accuracy and consistency for analysis.

AI Architect

Pittsburgh PA(Onsite)

Fulltime

Job Description

Must Have Technical/Functional Skills:

• Define the target architecture for AI enabled AMS: telemetry ingestion unified observability (metrics logs traces) event correlation and signal driven operations.
• Design an agentic orchestration layer (tooling agnostic) to coordinate AIOps LLM agents runbooks and ITSM workflows.
• Establish integration patterns with ITSM (e.g. ServiceNow/Jira) chat/collab platforms CMDB CI/CD and cloud monitors.
• Create data contracts and a normalized telemetry schema across apps/infra/cloud/edge; ensure lineage and data quality for AI features.
• Own data governance: access controls retention PII handling encryption auditability and lawful basis for processing.
• Implement Responsible AI guardrails: policy checks red teaming bias tests safety filters and human in the loop approvals for impactful actions.
• Define next gen roles: AI Ops Engineer Agent Supervisor Prompt/Runbook Engineer Reliability Engineer.

Data Scientist- Gen AI

Charlotte NC(Onsite)

Fulltime

Job Description

Were looking for a highly skilled Senior Data Scientist with technical expertise and GenAI knowledge for our Auto Consumer Strategy & Analytics group. This candidate will be responsible for supporting initiatives across machine learning and AI model development model governance and emerging generative AI innovations. This candidate will also partner with business stakeholders technology teams and risk partners to deliver high-quality ML/AI solutions and tools and ensure responsible effective deployment of AI solutions. Successful candidates should have hands-on experience with data and modeling while demonstrating strong communication skills and the ability to influence a complex organization. The Work Itself In this role you will lead the development and deployment of cutting-edge machine learning and generative AI/agent solutions that drive business transformation. You will design and implement advanced models utilizing experimentation multi-modal data and the latest AI techniques to solve complex problems and unlock new opportunities. As a technical expert and innovator you will collaborate closely with cross-functional teams to ensure our ML/AI systems are robust responsible and deliver measurable impact. You will also lead the architectural design and development of state-of-the-art machine learning generative AI and agent systems that enhance user experience drive revenue and ensure operational excellence. Key Responsibilities

Develop/Implement/Test AI solutions for the Consumer Auto organization including supporting vendor-developed Agentic AI models and its governance

Leverage novel approaches to continuously improve model performance and business outcomes

Advance responsible AI practices by integrating governance ethical considerations and security into every stage of model development and deployment

Develop and maintain trustworthy benchmarks and operational performance monitoring for predictive models and GenAI and agentic systems

Identify and champion new business opportunities by proposing and delivering innovative AI-driven solutions that create tangible value and competitive advantage. The Skills You Bring Ally Proprietary Ally Proprietary

Bachelors Degree in Quantitative/Technical Discipline (Mathematics Computer Science Data Science/Analytics Economics)

Minimum 3 years of data science / quantitative modeling work experience with hands on experience working with large datasets (including text); practical experience with deploying LLMs highly preferred

Deep expertise in statistics and exploratory data analysis (EDA) paired with the ability to establish trustworthy benchmarks and operational performance monitoring for deployed models

Strong knowledge in programming languages of Python SQL or R

Solid written and verbal communication skills including the ability to effectively present data analytics results to internal and external stakeholders

Highly self-motivated and adaptable with a proven ability to deliver high-quality results in a fast-paced rapidly evolving environment Preferred Qualifications

Proven experience designing and implementing predictive models Generative AI and agentic systems with a track record of developing novel AI approaches to boost model performance

Strong foundational knowledge of responsible AI practices including the integration of data governance ethical AI considerations and security protocols throughout the model-development lifecycles

Experience with GitHub and repositories

Masters degree or higher in a quantitative field

Roles & Responsibilities

Key Responsibilities

Develop/Implement/Test AI solutions for the Consumer Auto organization including supporting vendor-developed Agentic AI models and its governance

Leverage novel approaches to continuously improve model performance and business outcomes

Advance responsible AI practices by integrating governance ethical considerations and security into every stage of model development and deployment

Develop and maintain trustworthy benchmarks and operational performance monitoring for predictive models and GenAI and agentic systems

Identify and champion new business opportunities by proposing and delivering innovative AI-driven solutions that create tangible value and competitive advantage.

Thanks & Regards

Chandragupt Shivam

Ph : EXT-3188