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Associate Solutions Engineer

Boston,MA

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1053 Associate Solutions Engineer jobs in Boston,MA

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Associate or Senior Associate, Fixed Assets / Cost Segregation Engineer (AMCS)

KPMG

Boston, MA 02111

New, Posted 6 hours ago
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Associate Vice President Structural Engineer / New England Infrastructure Practice Lead

The LiRo Group

Newton, MA 02458

$180,000/yr
New, Posted 1 hour ago
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Software Engineering/Applications Leadership Advisory - Executive Technology Services for Global Enterprises

Gartner

Boston, MA 02110

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Sales Engineer (Power Supply Expert)

Sager Electronics

Andover, MA 01810

$71,760-$119,275/yr
~ 33 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in engineering, (or equivalent experience)
  • Minimum 2+ years of experience selling power solutions
  • Experience supporting customers through the power supply selection process
  • To perform the position, you must be a U.S. Person as defined by ITAR. ITAR defines a U.S. Person as a U.S. Citizen, U.S. Permanent Resident (i.e., ‘Green Card Holder'), Political Asylee, or Refugee
  • Visa sponsorship is not available for this role
  • Only candidates authorized to work in the United States will be considered
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New, Posted 2 hours ago
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Senior Software Engineer

SAAB

Boston, MA 02196

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Software Engineering, Computer Science or related discipline with 8+ years of relevant experience in advanced software product development, or a Master's degree with 6+ years of similar experience
  • Programming languages including C/C++, Python
  • Scripting languages including Linux/Unix Shells, Matlab, etc.
  • Integrated Development Environments including Eclipse, various GNU, VS Code, Microsoft Visual Studio, Arduino
  • Version control systems including SVN, Git.
  • Issue tracking via Jira, or similar
  • MSOffice including Excel, Word, Visio, PowerPoint, Outlook
  • Experience with agile development methodologies including Scrum
  • Experience with virtual machines
  • Good understanding of industry accepted software design methods and practices, including configuration control, design spaces/tradeoffs, analyses, and requirement specification
  • Software product development background demonstrating a strong engineering aptitude and good problem-solving skills
  • Demonstrated ability to resolve issues during design, development, and execution of software engineering activities
  • Strong written and verbal interpersonal and communication skills
  • Effective contributor in a team environment
  • Ability to work independently to achieve technical and program requirements
  • Must hold or be able to obtain U.S. DoD SECRET security clearance
  • Ability to travel up to 25%, both international and domestic, depending on project needs
  • Must be a U.S. citizen. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information.
  • As a condition of employment, candidates will be required to pass a pre-employment drug screen.
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New, Posted 1 hour ago
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Manager, Software Project Management (Boston, MA - US)

Energy Solutions

Boston, MA 02110

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Director of Product Management- Cloud Infrastructure Engineering

athenahealth, Inc.

Brighton, MA 02135

New, Posted 7 hours ago
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Vice President Director, Technology - AI Customer Solutions

Publicis Groupe

Boston, MA 02115

$207,424/yr
New, Posted 1 hour ago
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HVM-NETA Electrical Testing Sales Engineer - Boston

VERTIV

Boston, MA 02203

$102,607-$136,810/yr
OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Graduate engineer (BSEE/BSME) and no experience.
  • Graduate of electrical technical school or equivalent, and five years of similar work.
  • High school diploma or equivalent and eight years of similar work.
  • Willing to work flexible hours, weekends, some overnight travel to cover sales territory.
  • Regularly required to sit, stand, walk, use hands and fingers, talk and hear.
  • Required to sit and work at computer.
  • Specific vision abilities required by this job include close vision and the ability to adjust focus.
  • Conduct walk-through of construction sites and work in and around electrical equipment.
  • Regularly lift and/or move up to 25 pounds and frequently lift and/or move 100-pound test sets.
  • Up to 50% within assigned territory.
  • Valid Driver's License.
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Principal Quant Developer (MLOps)

Fidelity Investments

Boston, MA 02210

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field
  • Six (6) years of experience as a Senior Quant Developer or similar role
  • Alternatively, a Master's degree (or equivalent foreign education) in the same fields
  • Four (4) years of experience as a Lead Quantitative Development or similar role
  • This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
  • Expert in Python with experience across the development stack (full stack)
  • Exposure to object-oriented programming (OOP) and design patterns
  • Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
  • A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
  • Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
  • Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
  • Proven ability to construct and manage robust data pipelines and event-driven workflows
  • Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
  • Experience in containerization with Docker and orchestration with Kubernetes
  • Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
  • Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
  • Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
  • Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
  • Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
  • Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
  • Awareness of responsible AI governance practices
  • Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
  • Demonstrated knowledge of mathematics, statistics, and quantitative finance
  • Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
  • Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
  • Domain knowledge in either equities, fixed income or alternative asset classes
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