Senior Machine Learning Engineer

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients.

Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.

Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters.

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:

21 Google Cloud Partner of the Year awards in the past 10 years
3 AWS AI/ML Partner of the Year awards
3 NVIDIA Partner of the Year awards
3 Snowflake Partner of the Year awards
Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms

Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.

We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.

For more details, visit: Website or LinkedIn Page

Role : Senior Machine Learning Engineer

Experience Level: 4+ years

Work Location: Dallas, TX
Employment type: Full-time

Description:

We are seeking a highly skilled and innovative Machine Learning Engineer with 4-6 years of experience, specializing in Generative AI and Agentic AI, to join our dynamic team. This role is critical for designing, developing, deploying, and maintaining advanced AI solutions that leverage large language models (LLMs) to create intelligent, autonomous agents capable of performing complex tasks and driving significant business value within the telecom sector.
The ideal candidate will possess extensive hands-on experience across the entire Generative AI lifecycle, with a strong focus on MLOps, performance monitoring, and ensuring the robustness and scalability of AI systems in production. Exposure to Google Cloud Platform (GCP) and a background in the telecom industry are highly advantageous.

Key Responsibilities:

MLOps & Production Systems: Performance Monitoring and End-to-End Tracing: Implement and manage comprehensive monitoring solutions for AI models and agent systems in production, tracking key performance indicators (KPIs), latency, throughput, and resource utilization.
Drift Detection Techniques, Alerting & Observability: Develop and deploy robust drift detection mechanisms (data drift, concept drift, model drift) and establish proactive alerting systems to ensure model integrity and performance.
Application Performance Management (APM): Integrate AI systems with APM tools to gain deep insights into application behavior, identify bottlenecks, and optimize overall system performance.
Systems Tracing: Implement distributed tracing across complex AI workflows and microservices to provide end-to-end visibility and facilitate efficient debugging and performance optimization.
Full-Stack Application Architecture: Collaborate with software engineers to integrate AI components seamlessly into existing and new full-stack applications, ensuring scalability, reliability, and maintainability.
Deploy Generative and Agentic AI models and systems at scale, optimizing for latency, throughput, robustness, and cost-efficiency on cloud platforms (GCP preferred).
Implement and manage CI/CD pipelines for AI solutions, ensuring seamless integration, testing, and deployment.
Develop strategies for continuous improvement, model retraining, and A/B testing in production environments.

Generative AI & Agentic AI Development:

Design, develop, and optimize enterprise-grade Generative AI solutions, leveraging LLMs for various applications within the telecom domain.
Implement sophisticated prompt engineering strategies (e.g., Chain of Thought, Few-Shot, RAG) to maximize LLM reasoning and creativity.
Architect, develop, and deploy robust and scalable Agentic AI systems capable of autonomous decision-making, task execution, and complex problem-solving.
Utilize and contribute to agentic frameworks such as Google ADK (Agent Development Kit) and LangChain to build sophisticated multi-agent systems and orchestrate complex workflows.
Design and implement mechanisms for agent memory (short-term, long-term, episodic) and context management.
Empower agents with advanced tool-use capabilities, integrating with external APIs, databases, and proprietary telecom systems.

Research & Innovation:

Actively research and integrate the latest advancements in Generative AI, LLMs, and Agentic AI, including self-correction, emergent behavior, cognitive architectures
Contribute to the development of ethical, unbiased, and responsible AI systems.

Collaboration & Communication:

Collaborate closely with data scientists, product managers, and other engineering teams to define requirements, design solutions, and deliver high-impact AI products.
Translate complex technical concepts and business value to diverse stakeholders, including non-technical audiences.
Contribute to technical documentation, best practices, and knowledge sharing within the team.

Required Skills & Qualifications:

4-6 years of hands-on experience in Machine Learning and Artificial Intelligence.
Proven track record in designing, developing, and deploying enterprise-grade Generative AI solutions.
Strong experience in building and deploying complex agentic workflows and multi-agent systems.
Demonstrated experience with MLOps principles and practices, including model monitoring, drift detection, and CI/CD for AI systems.

Technical Skills:

Expert proficiency in Python and relevant ML/DL frameworks
Deep practical experience with Generative AI models, including various LLM architectures (e.g., Transformers, GPT, Llama).
Mandatory expertise with Agentic AI frameworks such as LangChain, LangGraph and Google Agent Development Kit (ADK)
Experience with other agentic workflow tools like CrewAI, AutoGen, or similar.
Strong understanding and hands-on experience with:
- Performance Monitoring and End-to-End Tracing
- MLOps / Production ML Systems, Monitoring
- Drift Detection Techniques, Alerting & Observability
- Application Performance Management (APM)
- Systems Tracing
- Full-Stack Application Architecture
Proficiency with version control systems (Git) and software development best practices (SDLC).
Solid background in Natural Language Processing (NLP) tasks (e.g., text generation, summarization, question answering, semantic search).

Agentic AI Specific Skills:

Ability to implement self-correction, self-improvement, and adaptive learning mechanisms in agents.
Experience designing and managing agent memory systems (e.g., vector databases, knowledge graphs).
Proficiency in enabling tool use and API integration for agents.
Understanding of multi-agent collaboration, coordination, and communication protocols.

Soft Skills:

Exceptional problem-solving and analytical abilities, with a strong focus on delivering practical solutions.
Excellent communication and presentation skills, capable of articulating complex technical concepts clearly.
Ability to work independently, take initiative, and lead technical aspects of projects.
Strong collaborative spirit, working effectively with cross-functional teams.
Curiosity and a passion for staying abreast of the latest advancements in AI research and technology.

Preferred Qualifications:

Exposure to Google Cloud Platform (GCP) for model deployment, scaling, and infrastructure management.
Prior Telco industry experience or familiarity with telecom data and use cases.
Deployment of multi-agent systems at Telco production scale.
Expertise in large-scale data processing and model optimization.
Publications or open-source contributions in Agentic/Generative AI.

What is in for you:

Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Senior Machine Learning Engineer

USA Remote Jobs