1927 Manager Application Oracle Support jobs in Framingham,MA

Bachelor's (BS) or Master's (MS) degree in Chemistry, Pharmacy, or Life Sciences required (PhD preferred)
Minimum 7 years of experience in pharmaceutical development, technical project management, or manufacturing of small molecule drug substances or oral dosage forms
Strong experience in small molecule chemistry and pharmaceutical development (biologics and vaccines experience not applicable)
Proven experience managing technical projects across multidisciplinary teams
Experience working with CMOs/CROs and external manufacturing partners
Strong understanding of CMC development, regulatory submissions, and lifecycle management
Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Project)
Strong technical writing and presentation skills
Excellent organizational and communication abilities

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AML Compliance Model Developer – Associate

Santander Holdings USA

Boston, MA 02109

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Store Manager

cumberlandfarmsinc

Framingham, MA 01701

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Minimum Education: High School or GED
Minimum Experience: 1 year retail or food experience
Specialized attire required in food establishments (hats or visors, gloves etc. provided)
Travel: 5%.
Ability to deliver deposits to the bank independently (where applicable) and have own vehicle to do so.

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iHire

Site Engineer

Marchionda & Associates, L.P.

Stoneham, MA 02180

$80,000-$150,000/yr

Flexible Schedule

New, Posted 1 day ago

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Center Director

The Learning Experience

Natick, MA 01760

$80,000/yr

~ 10 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Director I and Director II certification required
Minimum 2 years center leadership experience required
Massachusetts EEC requirements compliance (Ensure compliance with all Massachusetts EEC requirements)

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Director National Accounts and Merchandising

Acushnet Holdings

Framingham, MA

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Principal Quant Developer (MLOps)

Fidelity Investments

Newton, MA 02458

~ 20 min 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