AI/ML Modelling Engineer Job at Orbis Consultants

New

AI/ML Engineer

Full-time position; 6-month onboarding period before permanent conversion (Contr...

Location

United States , Tampa

Salary:

115000.00 - 125000.00 USD / Year ▼

Robert Half

Expiration Date

Until further notice

Requirements

Python based ML experience
Experience w/ Machine Learning frameworks such as ML.NET, Scikit-Learn, TensorFlow, PyTorch, or Keras
Experience w/ LLM frameworks (LangChain, Ollama, vector DBs, RAG pipelines)

Job Responsibility

Develop, train, and optimize machine learning models using frameworks such as ML.NET, Scikit-Learn, TensorFlow, PyTorch, or Keras
Integrate artificial intelligence (AI) models into existing in-house applications and services running in secure on-prem environments
Experiment with large language models (LLMs) and agentic coding tools, evaluating their potential for secure, internal automation and analytics tasks
Perform data preprocessing, feature engineering, and model evaluation using structured and unstructured data from multiple internal systems
Collaborate with cross-functional teams to ensure all models and data workflows align with Criminal Justice Information Systems (CJIS) and Personally Identifiable Information (PII) protection standards
Work closely with analysts, investigators, and Information Technology (IT) staff to identify opportunities where AI can provide operational value
Participate in code reviews, testing, and deployment activities within a collaborative team environment
Continuously learn and prototype emerging AI tools while maintaining strong data governance discipline

What we offer

Medical benefits are 100% covered at conversion
Medical, vision, dental, and life and disability insurance for contract/temporary professionals
401(k) plan for contract/temporary professionals

Fulltime

AI/ML Engineer

As an experienced engineer, you know that building reliable and scalable AI syst...

Location

United States , Fort Meade

Salary:

99000.00 - 225000.00 USD / Year

Booz Allen Hamilton

Expiration Date

Until further notice

Requirements

6+ years of experience with software engineering
Experience with Python
Experience developing and maintaining AI and ML pipelines for model training, validation, and deployment
Experience integrating AI and ML capabilities into production systems and mission workflows
Experience implementing monitoring and observability solutions for model performance, resource utilization, and system health
Knowledge of hybrid compute environments such as cloud and on-prem
Ability to automate workflows and build reproducible, scalable, and efficient ML and AI systems
Ability to collaborate with cross-functional teams, such as AI Model Engineers, Data Engineers, Cloud Architects, or ISSE, to align workflows with infrastructure and security requirement
TS/SCI clearance with a polygraph
HS diploma or GED

Job Responsibility

Build, test, deploy, and operate software end-to-end AI pipelines
Guide the development of mission-critical AI solutions by building reproducible pipelines, applying automation best practices, and introducing emerging tools
Collaborate with a cross-functional team of AI Model Engineers, Data Engineers, Cloud Architects, and ISSEs
Contribute to solutions that optimize data flow, automate operational workflows, ensure monitoring and observability, and support resilient mission execution across hybrid compute environments

What we offer

Health, life, disability, financial, and retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program

Fulltime

AI/ML Engineer - Agentic

The AI/ML Engineer – Agentic is a senior individual contributor responsible for ...

Location

United States , San Jose

Salary:

136500.00 - 276500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, engineering, information systems, or closely related quantitative discipline
Typically, 4-7 years’ experience
Production experience with agentic frameworks: LangGraph (preferred), Claude Agent SDK, or equivalent (not just prototypes)
Deep understanding of multi-agent architectures: supervisor/worker patterns, hierarchical agent graphs, ReAct loops, ReWoo
Hands-on with inter-agent communication protocols: MCP (Model Context Protocol), A2A, tool registry / server registry
LLM API integration at scale: structured outputs, streaming, function/tool calling, error handling
RAG pipeline design and optimization: chunking strategies, re-ranking, hybrid search
Vector store experience: OpenSearch or equivalent
Applied ML intuition: fine-tuning concepts, prompt engineering, evaluations, Qlora, PEFT
Backend development: FastAPI, gRPC, Kafka, Redis, message queues, Async System design: Python, API Design GraphQL and/or REST at enterprise scale

Job Responsibility

Design, build, and own a production-grade agentic orchestration platform, implementing scalable multi-agent workflows using frameworks such as LangGraph or equivalent
Architect, develop, and operate the MCP server infrastructure, including inter-agent communication, tool/server registries, domain isolation, versioning, and lifecycle management
Integrate and operate LLM services at enterprise scale, supporting streaming, structured outputs, tool/function calling, and robust error handling across agent workflows
Build and maintain retrieval and memory services for agentic systems, including RAG pipelines, OpenSearch-backed vector stores, hybrid search, and relevance optimization
Develop and operate high-performance backend services (FastAPI, gRPC, async systems, messaging) that power orchestration, tool execution, and agent runtime behavior
Own observability and reliability for non-deterministic systems, delivering end-to-end tracing, monitoring, and cost/performance visibility for agent executions
Manage cloud-native infrastructure and deployment, including Kubernetes workloads, containerized services, CI/CD pipelines, and resource optimization (CPU/memory, autoscaling)

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior AI/ML Engineer - Vice President

Location

India , Chennai; Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Strong expertise with 10+ years in microservices, RESTful APIs, and distributed architectures
Experience in the following AI/ML technologies
Development: Python, FastAPI, Java, Spring AI, Async Programming
Foundational Models: Gemini, OpenAI, Claude, Llama, Local Models
Machine Learning: PyTorch, TensorFlow, Fine-tuning
AI Frameworks: Google's ADK, LangChain, LlamaIndex, Hugging Face
Orchestration: LangGraph, Multi-Agent Systems
Retrieval Augmented Generation: PostgreSQL, Vector DBs, Advanced Retrieval
Deployment: Docker, Production APIs, Monitoring
Applied Methodology: Prompt Engineering, Workflow Design, GenAI Optimization

Fulltime

AI/ML Engineer

We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy sc...

Location

India , Bangalore

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Strong proficiency in Python for machine learning and software development
Hands-on experience with PyTorch for deep learning model development
Solid understanding of deep learning architectures (CNNs, transfer learning, etc.)
Practical experience in computer vision applications
Experience working with Databricks and large-scale data processing
Strong knowledge of AWS services for ML deployment (EC2, S3, SageMaker, etc.)
Experience with MLOps tools and practices (model deployment, monitoring, CI/CD)
Good understanding of software engineering principles and production-grade system design

Job Responsibility

Design, develop, and optimize machine learning and deep learning models using PyTorch
Build and deploy computer vision solutions for real-world use cases
Develop end-to-end ML pipelines, including data ingestion, preprocessing, training, validation, and deployment
Implement and maintain MLOps workflows for model versioning, monitoring, CI/CD, and retraining
Deploy and scale ML models on AWS cloud infrastructure
Work with large-scale datasets using Databricks and distributed computing frameworks
Collaborate with data scientists, product managers, and software engineers to translate business requirements into AI solutions
Ensure high code quality by following software engineering best practices (modular design, testing, documentation)
Monitor model performance in production and continuously improve accuracy, efficiency, and reliability

Fulltime

Senior AI/ML Engineer

At General Motors, our product teams are redefining mobility. Through a human-ce...

Location

United States , Mountain View

Salary:

170600.00 - 261300.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field
2+ years of experience in AI/ML research and applied development
Expertise in modern ML architectures (transformers, generative AI, multimodal systems)
Strong programming skills in Python
Strong communication, collaboration, and mentoring abilities

Job Responsibility

Research, design, and implement advanced Vision-Language Models and Vision-Language-Action models to enhance the autonomous vehicle's semantic understanding and decision-making capabilities
Develop and execute techniques for onboard model optimization, including quantization, distillation, and architecture search, to ensure large foundational models run efficiently on vehicle edge hardware
Partner closely with downstream engineering teams (perception, planning, and control) to integrate foundational VLM/VLA outputs into the active vehicle software stack
Contribute to the technical roadmap by identifying high-impact research areas and translating strategic machine learning priorities into concrete, actionable prototypes
Provide technical mentorship to junior researchers and engineers, fostering a culture of excellence and collaborative innovation
Secure intellectual property through patents and represent the company externally by publishing peer-reviewed research at top-tier machine learning conferences

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Ai/Ml Engineer

We are seeking an AI/ML Engineer to build, deploy, and scale machine learning mo...

Location

United States , Jacksonville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Strong programming experience in Python
Hands-on experience with ML frameworks (TensorFlow, PyTorch, or similar)
Experience deploying ML models into production environments
Solid understanding of machine learning concepts and workflows

Job Responsibility

Design, build, and deploy machine learning models in production environments
Develop and manage data pipelines to support model training and inference
Collaborate with data scientists, engineers, and business stakeholders
Optimize model performance, scalability, and reliability
Monitor deployed models and continuously improve performance
Implement best practices for versioning, testing, and model lifecycle management
Work with large and complex datasets to extract meaningful insights

What we offer

Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance
Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan

Senior Software Engineer (AI/ML)

We are looking for a Senior Software Engineer (AI/ML) who can design, build, and...

Location

Pakistan , Islamabad

Salary:

Not provided

Devsinc

Expiration Date

Until further notice

Requirements

Bachelors Degree in Computer Science or related fields
3+ years of experience
Strong programming skills in Python (mandatory)
proficiency with PyTorch, TensorFlow, or transformers-based models
Experience in building or integrating AI agents (LangChain, LlamaIndex, CrewAI, custom frameworks)
Strong grasp of ML model lifecycle — data processing, model training, evaluation, deployment, and monitoring
Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes)
Familiarity with API integrations, microservices, and asynchronous systems
Strong understanding of vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) and retrieval architectures
Solid software engineering fundamentals — testing, version control, and system design

Job Responsibility

Design and build autonomous or semi-autonomous AI agents that can plan, reason, and interact with tools, APIs, or external systems
Implement agentic frameworks (e.g., LangChain, LlamaIndex, CrewAI, or custom orchestration systems)
leverage existing industry capabilities to deliver virtual assistant capabilities on top of xquic content including voice interactions
Optimize reasoning and retrieval pipelines using embeddings, vector databases, and prompt engineering
Develop, train, and fine-tune ML models using frameworks like PyTorch, TensorFlow, or scikit-learn
Work on data preprocessing, feature engineering, and model evaluation for NLP, computer vision, or predictive tasks
Build ML pipelines for training, deployment, and monitoring in production environments
Collaborate with engineering teams to integrate AI components into backend systems and APIs
Ensure scalable, maintainable codebases with CI/CD, observability, and cloud-native design (AWS/GCP/Azure)
Contribute to technical architecture and design reviews for AI-driven features and platforms

What we offer

Provident Fund
Medical Inpatient Facility
Medical Outpatient Facility
Paid Overtime
In-house Subsidized Lunch & Dinner
Gym Facility
Entertaining Activities
Interest Free Loan Facility
Advance Salaries
Sports Allowance

Fulltime

Select Country

AI/ML Modelling Engineer

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?