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Sr AI/ML Engineer | onsite - Boston, MA at Boston, Massachusetts, USA
Email: [email protected]
Sr AI/ML Engineer

Location onsite - Boston, MA

Rate: $55/hr on C2C

Role:

We are looking for a highly skilled Senior AI/ML
Engineer with a strong background in designing, deploying, and operationalizing
AI/ML services in production environments. You will be a key contributor in
building and maintaining robust, scalable systems that support machine learning
workflows, including Large Language Models (LLMs) and AI agent frameworks. This
position requires deep expertise in MLOps, distributed systems, cloud
infrastructure (particularly AWS), and modern software development practices.
Candidate need to collaborate with cross functional teams, drive outcomes by
thinking backward from business objectives, and deliver impactful results under
specific timelines.

Key Responsibilities

Design & Implement AI/ML
Solutions o Architect and develop end to end ML solutions from data
ingestion to model deployment, including LLM based applications. o
Evaluate and select appropriate frameworks, libraries, and tools to meet
both short term project goals and long term scalability.

LLM & Prompt Engineering o
Develop and optimize prompts for Large Language Models (e.g.,
Openai/Claude/Llama) to improve the quality and relevance of outputs. o
Conduct experiments to evaluate LLM performance and apply prompt
engineering best practices to ensure high impact results.

AI Agent Frameworks o
Incorporate AI agent frameworks (e.g., LangChain, AgentGPT, or similar) to
enable autonomous or semi autonomous decision making within applications.
o Integrate AI agents with existing systems, ensuring robust communication
and secure data handling.

MLOps & Production
Operations Set up and optimize CI/CD pipelines for ML models, ensuring
continuous integration, testing, and deployment. Monitor, troubleshoot,
and refine production ML systems for performance, cost efficiency, and reliability.

Cloud Development (AWS) o
Leverage AWS services (e.g., EC2, S3, Lambda, SageMaker, EKS) to design
and maintain scalable, secure, and cost efficient ML infrastructure.
Implement best practices for cloud resource allocation, scaling, and
maintenance.

Software Engineering &
Distributed Systems o Write clean, maintainable, and well documented code
in Python and other modern languages (e.g., Go, Java, or Rust). Develop
and maintain distributed systems, focusing on reliability, fault
tolerance, and performance. Work with databases (SQL/NoSQL) to handle
large scale data processing and storage.

Front End Integration
Collaborate on front end projects using React/Next.js to build user
interfaces or internal tools that interact with AI/ML services.

Cross Team Collaboration o Work
closely with product managers, data scientists, DevOps engineers, and
other stakeholders to define requirements and deliver high impact
solutions. o Communicate technical decisions effectively, balancing trade
offs between short term needs and long term product vision.

Autonomy & Time Management
o Operate with minimal supervision, proactively identifying issues and
taking ownership to drive solutions. o Manage multiple priorities in a
fast paced environment, and effectively escalate blockers to ensure timely
delivery.

Continuous Learning &
Adaptability o Stay updated with emerging AI/ML technologies, LLM
advancements, and best practices, sharing insights with the team. o Adapt
quickly to new domains, frameworks, and technologies as project needs
evolve.

Qualifications & Requirements

Experience: 5+ years of
professional software engineering experience, including distributed
systems and databases.

Education: Bachelors or
Masters degree in Computer Science, Engineering, or a related field (or
equivalent industry experience).

Technical Skills:

Required: AWS (or other major
cloud provider) with hands on experience in deploying, monitoring, and
scaling production services.

Python (preferred) and
proficiency in at least one other modern programming language (e.g., Go,
Java, Rust). Strong understanding of MLOps concepts, CI/CD pipelines,
containerized

Thanks & Regards,

Irfan Shaik

P : 972-440-0069

Agile Enterprise
Solutions Inc.

2591 Dallas Parkway,Suite 300, Frisco,TX 75034.

Email: 

[email protected] 

 Website:

www.aesinc.us.com

Keywords: continuous integration continuous deployment artificial intelligence machine learning javascript sthree golang Massachusetts Texas
Sr AI/ML Engineer | onsite - Boston, MA
[email protected]
[email protected]
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06:44 PM 05-Feb-25


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Location: Boston, Massachusetts