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Ecs Tuning Jobs in Massachusetts (NOW HIRING)

Roberts Recruiting

DevOps Engineer

Quincy, MA

$55.50 - $76/hr

... performance tuning. Job Responsibilities: Maintaining pipelines in Dev/Qa/UAT/Prod and other environments Helping developers with deployment issues that arise Creating new Java/ECS/Fargate ...

SS&C

Principal Data Engineer

Waltham, MA · Hybrid

... ECS, and EKS environments * Strong knowledge of Oracle, PostgreSQL, Amazon Redshift, and Amazon Aurora databases * Experience with data modeling, database optimization, query tuning, indexing, and ...

SS&C Technologies

Principal Data Engineer

Waltham, MA · On-site

... ECS, and EKS environments * Strong knowledge of Oracle, PostgreSQL, Amazon Redshift, and Amazon Aurora databases * Experience with data modeling, database optimization, query tuning, indexing, and ...

Data Pro Software

AWS DevOps Engineer

Lexington, MA · On-site

$120 - $180/hr

Secrets Manager * ECS or EKS (nice to have) * DevOps Tooling * Terraform or CloudFormation ... Large-scale NoSQL performance tuning Soft Skills * Strong communication and documentation skills

Overture Partners

Full Stack/Backend

Boston, MA · On-site

$60 - $65/hr

Experience developing and deploying applications in AWS, including services such as ECS, EKS, S3 ... Optimize application performance through tuning, monitoring, and scalability improvements.

Invesco

Senior Engineer, Invest Tech

Boston, MA · On-site

$113K - $155K/yr

... tuning, and large-scale ETL workflows. * Implement and support distributed, event-driven ... Develop and maintain cloud-native applications on AWS (e.g., Lambda, S3, ECS/EKS, Step Functions ...

Invesco

Senior Engineer, Invest Tech

Boston, MA · On-site

$113K - $155K/yr

... tuning, and large-scale ETL workflows. * Implement and support distributed, event-driven ... Develop and maintain cloud-native applications on AWS (e.g., Lambda, S3, ECS/EKS, Step Functions ...

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Ecs Tuning information

What is ECS Tuning?

ECS Tuning is a company that specializes in providing aftermarket and performance parts for European cars, including Audi, BMW, Mercedes-Benz, Mini, Porsche, and Volkswagen. They offer a wide range of products such as replacement parts, performance upgrades, wheels, and accessories. ECS Tuning is known for its extensive online catalog, technical expertise, and commitment to customer service, making it a popular choice among car enthusiasts and mechanics looking to maintain or upgrade their vehicles.

What are the key skills and qualifications needed to thrive as an ECS Tuning specialist, and why are they important?

To thrive as an ECS Tuning Specialist, you need a strong understanding of automotive systems, mechanical aptitude, and experience with performance parts installation or sales, often supported by technical certifications or automotive training. Familiarity with diagnostic tools, tuning software, and e-commerce platforms is essential for handling both installation and customer support tasks. Attention to detail, customer service skills, and effective communication help build trust with clients and ensure accurate recommendations. These skills are vital for maintaining product quality, delivering excellent service, and supporting customer satisfaction in the specialized automotive aftermarket industry.

What are some of the common challenges faced by team members at ECS Tuning, and how can new hires best prepare for them?

Team members at ECS Tuning often work in a fast-paced environment where they need to stay updated on a wide range of automotive products and evolving customer needs. Common challenges include balancing multiple projects, handling detailed technical inquiries, and collaborating with colleagues across departments like sales, support, and warehouse operations. New hires can best prepare by developing strong communication skills, maintaining a proactive approach to learning about automotive parts, and being adaptable to shifting priorities. Embracing teamwork and staying organized will help you succeed in this dynamic setting.

What is the difference between Ecs Tuning vs Automotive Technician?

AspectEcs TuningAutomotive Technician
CertificationsPerformance tuning certifications, ECU remappingASE certifications, manufacturer-specific training
Work EnvironmentPerformance shops, tuning centersDealerships, repair shops
Industry UsageCar enthusiasts, aftermarket tuningGeneral vehicle maintenance and repair

While Ecs Tuning specializes in ECU remapping and performance upgrades for vehicles, Automotive Technicians focus on diagnosing and repairing a wide range of vehicle issues. Both roles require automotive knowledge, but Ecs Tuning is more niche, targeting performance enhancements, whereas Automotive Technicians work across various vehicle systems in repair settings.

What are popular job titles related to Ecs Tuning jobs in Massachusetts?

For Ecs Tuning jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Ecs Tuning jobs in Massachusetts look for?

The top searched job categories for Ecs Tuning jobs in Massachusetts are:

Ecs Tuning jobs near you
Infographic showing various Ecs Tuning job openings in Massachusetts as of August 2026, with employment types broken down into 84% Full Time, 7% Part Time, 1% Temporary, 7% Contract, and 1% Nights. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Computer Vision & AI/ML Engineer Jobs

AIToolboard

Springfield, MA • On-site

$150 - $230/hr

Other

Posted 28 days ago

Job description

Aqua IT Springfield, US

Full-time

About the Role

Description of Services/Responsibilities:

  • Design and execute fine-tuning pipelines for Vision-Language Models (VLMs) on domain-specific imagery datasets, including data preprocessing, training orchestration, and hyperparameter optimization
  • Develop and implement evaluation frameworks for multimodal model performance, including task-specific metrics for image understanding, visual question answering, and spatial reasoning
  • Build scalable training infrastructure on AWS (SageMaker, EC2 GPU instances) for distributed fine-tuning of large multimodal models
  • Engineer data pipelines for curating, annotating, and transforming geospatial imagery datasets into model-ready formats for supervised and instruction-tuning workflows
  • Collaborate with applied scientists and solutions architects to iterate on model architectures, adapter strategies (LoRA/QLoRA), and inference optimization techniques
Basic Requirements
  • TS/SCI with CI Poly required with current NGA eligibility and SBU/SECNet/COE accounts
  • Must be willing to work in SCIF daily or as needed
  • 5+ years of professional machine learning engineering experience with a focus on deep learning
  • 1+ years of hands-on experience fine-tuning large foundation models (LLMs or VLMs)
  • Experience with parameter-efficient fine-tuning methods (LoRA, QLoRA, adapters)
  • Familiarity with supervised fine-tuning, instruction tuning, and RLHF/DPO alignment techniques
  • 4+ years of advanced Python development for ML workloads
  • Strong proficiency with PyTorch and the HuggingFace ecosystem (Transformers, PEFT, Datasets, Accelerate)
  • Experience with distributed training frameworks (DeepSpeed, FSDP, or Megatron)
  • 3+ years of experience with computer vision or multimodal models
  • Understanding of vision transformer architectures (ViT, CLIP, LLaVA-family models, or similar)
  • Experience processing and augmenting image datasets at scale
  • 3+ years of experience with AWS ML infrastructureSageMaker Training jobs, Processing jobs, and endpoint deploymentGPU instance selection, multi-node training, and cost optimization on EC2 (P4/P5/G5/G6e)S3 data management for large-scale training datasets
  • 2+ years of experience building ML evaluation pipelinesAutomated benchmarking, metric computation, and result analysisExperience with both quantitative metrics and qualitative/human evaluation approaches
  • Strong software engineering fundamentals (version control, testing, CI/CD for ML workflows)
Preferred Qualifications
  • 2+ years of experience with geospatial or remote sensing imagery
  • Familiarity with electro-optical and SAR satellite imagery formats and characteristics
  • Understanding of geospatial metadata, coordinate systems, and imagery preprocessing
  • Experience with model quantization and inference optimization (vLLM, TensorRT, ONNX)
  • Experience with MLOps and experiment tracking tools (MLflow, Weights & Biases, SageMaker Experiments)
  • Familiarity with data annotation platforms and active learning workflows for imagery
  • Experience with containerized ML workflows (Docker, ECR, ECS/EKS)
  • 2+ years of experience with Authority to Operate (ATO) processes in government environments
  • Implementation of NIST 800-53 controls and security compliance for ML systems
  • Experience deploying models in air-gapped or disconnected environments
  • Familiarity with multimodal evaluation benchmarks (MMMU, MMBench, GQA, or domain-specific equivalents)
  • Publications or demonstrated contributions in computer vision, VLMs, or multimodal AI
  • Experience with synthetic data generation for training data augmentation

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