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Data collection Jobs in Rochester ny

Last updated: 6 hours ago
  • Promoted
AI Data Specialist

AI Data Specialist

DeloitteRochester, NY
$159,375.00–$265,625.00 yearly
Full-time
Show moreLast updated: 8 days ago
Data Scientist.

Data Scientist.

Similar WebNew York, US
$70,400.00 yearly
Show moreLast updated: 30+ days ago
  • Promoted
Data Entry Clerk

Data Entry Clerk

Hustle Notice BizRochester, NY, US
$750.00–$1,100.00 weekly
Full-time
Show moreLast updated: 30+ days ago
Data Administrator

Data Administrator

AP ProfessionalsRochester, NY
Show moreLast updated: 30+ days ago
  • Promoted
Data Warehouse / Application Architect

Data Warehouse / Application Architect

St. John Fisher CollegeRochester, NY, United States
$77,800.00–$91,500.00 yearly
Show moreLast updated: 30+ days ago
  • Promoted
Data Entry Specialist

Data Entry Specialist

US Tech SolutionsRochester, NY, United States
Full-time
Show moreLast updated: 30+ days ago
Data Analyst - Immigration Data

Data Analyst - Immigration Data

FragomenNew York, US
$69,000.00–$78,000.00 yearly
Full-time
Show moreLast updated: 30+ days ago
  • Promoted
Data Coordinator (Remote)

Data Coordinator (Remote)

D Aceto Services LLCRochester, New York
Quick Apply
Show moreLast updated: 30+ days ago
Data Analyst

Data Analyst

Online RiverNew York, US
$30.00 hourly
Remote
Part-time
Quick Apply
Show moreLast updated: 26 days ago
Data Engineer

Data Engineer

InterSourcesNY, US
Show moreLast updated: 30+ days ago
Data Analyst

Data Analyst

LaBella AssociatesRochester, New York, United States
$70,000.00–$90,000.00 yearly
Show moreLast updated: 30+ days ago
  • Promoted
SAP Data Analytics Engineer

SAP Data Analytics Engineer

Tek Leaders IncRochester, New York, USA
Full-time
Show moreLast updated: 28 days ago
  • Promoted
Sr Research Data Engineer

Sr Research Data Engineer

University of RochesterRochester, NY, United States
Full-time +1
Show moreLast updated: 9 days ago
  • Promoted
Data Abstractor (Remote)

Data Abstractor (Remote)

ApexFocusGroupRochester, NY, United States
$750.00 weekly
Remote
Show moreLast updated: 30+ days ago
Data Scientist

Data Scientist

DataikuNew York, US
$140,000.00–$180,000.00 yearly
Full-time
Show moreLast updated: 13 days ago
Product Owner – Digital Data Collection AVP

Product Owner – Digital Data Collection AVP

Morgan StanleyNew York, US
$100,000.00–$135,000.00 yearly
Show moreLast updated: 30+ days ago
  • Promoted
Data Entry Clerk

Data Entry Clerk

Hall AssociatesRochester, New York
Quick Apply
Show moreLast updated: 30+ days ago
  • Promoted
  • New!
Collection Subrogation Specialist

Collection Subrogation Specialist

VirtualVocationsRochester, New York, United States
Full-time
Show moreLast updated: 6 hours ago
  • Promoted
Data Analyst

Data Analyst

JK Executive Strategies, LLCRochester, NY, US
$70,000.00–$80,000.00 yearly
Full-time
Show moreLast updated: 4 days ago
  • Promoted
Data Entry Clerk

Data Entry Clerk

Nautical Partners LimitedRochester, NY, US
Full-time
Show moreLast updated: 8 days ago
AI Data Specialist

AI Data Specialist

DeloitteRochester, NY
8 days ago
Salary
$159,375.00–$265,625.00 yearly
Job type
  • Full-time
Job description

The Human Capital Offering Portfolio focuses on helping organizations manage and sustain their performance through their most important asset : their people. To stay in front, organizations need to have real-time access to Human Capital insights, experts and innovative technology solutions that are designed to not only drive but sustain and extend organizational performance and engagement. Supporting the products and capabilities of the Human Capital Offering Portfolio, our Engineering team is full of passionate, energetic, and multi-talented engineers who are excited about building the world's greatest personalized and business friendly applications. Recently building AI capabilities in all of our existing assets and building new AI enabled assets.

Human Capital As-A-Service

Today's disruptive environment calls for a different mindset and a new approach to drive organizational performance and enhance human capital development now and in the future. Deloitte Human Capital as a Service brings that insight, through broad and deep capabilities to help our clients optimize people, process, and technology to thrive in an unpredictable world.

Recruiting for this role ends on 12 / 31 / 2024.

The AI Data Specialist in Deloitte's Human Capital Consulting Asset Shop will lead the design, development, and deployment of innovative AI solutions to help clients leverage the power of artificial intelligence across their business processes. You will work closely with cross-functional teams including data scientists, engineers, and business consultants to design scalable AI architectures and integrate advanced machine learning models into business strategies. Your role is crucial in driving the adoption of AI technologies to transform client business models and deliver cutting-edge solutions. This role requires a deep understanding of Machine Learning, Statistics, Data Science, Generative AI, Large Language Models (LLMs), and Multimodal models.

Additionally, the AI Data Specialist will help with recommendations for AI solution teams, focusing on modifying existing products and creating new ones. The ideal candidate will be passionate about designing, building, implementing, and maintaining industrial AI / ML / Generative AI applications. Leadership skills are essential to implement the latest AI techniques and to continuously improve the AI / ML development, delivery, and operations process. The role involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps.

The AI Data Specialist will also help with translating project requirements into strategic solutions, ensuring the integration of cloud-native tools from major hyperscalers and machine learning to create chatbots, optimizations, and cognitive services. This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions.

Work you'll do :

Strategic Alignment and Vision

  • Help define the AI / ML / GenAI technical direction and vision, ensuring alignment with strategic goals and digital transformation efforts.
  • Translate the vision of business leaders into realistic technical implementations, while identifying misaligned initiatives and impractical use cases

Architectural Design

  • Design end-to-end AI architectures, from data ingestion to model deployment, integrating with cloud and on-premises systems.
  • Design and Technology Selection

  • Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.
  • Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models.
  • Research and Development

  • Conduct research to provide technical solutions to scale AI / ML powered features for real-world challenges, making trade-offs based on quality, scalability, performance, and cost.
  • Lead the development of AI models (e.g., machine learning, natural language processing, computer vision) and implement scalable AI solutions.
  • Collaboration and Stakeholder Engagement

  • Collaborate with Enterprise, Application, Data & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot use cases and discuss best design.
  • Gather inputs from multiple stakeholders to align technical implementation with existing and future requirements.
  • Consulting & Advisory

  • Serve as a technical advisor to leadership, providing insights on AI trends, potential business impacts, and implementation best practices.
  • Operational Excellence and Continuous Improvement

  • Be responsible for the successful execution of AI-powered applications using agile methodology.
  • Audit AI tools and practices across data, models and software engineering, focusing on continuous improvement and feedback mechanisms.
  • Contribute to standardizing CI / CD pipelines, user and service roles, and container creation, model consumption, testing, and deployment methodology based on business and security requirements.
  • Risk Management and Ethical Considerations

  • Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations.
  • Address potential issues such as training data poisoning, AI model theft, and adversarial samples.
  • Product Strategy and Business Understanding

  • Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.
  • Break down client problems and bring an understanding of leading technology, analytics methods, tools, and operating model approaches.
  • Tool Development and Data Management

  • Build tools and capabilities that assist with data ingestion, feature engineering, data management, and organization.
  • Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure.
  • Required Qualifications :

  • Bachelor's Degree in any of Computer Science, Statistics, Data Science or a related field.
  • 6+ years of related consulting experience leading a team (both onshore and offshore).
  • 6+ years of experience gathering non-functional requirements, performing designed and validated application architecture frameworks, and executing functional and testing assignments.
  • 5+ years of experience working in an AI environment.
  • 5+ years of experience translating requirements into client ready design documents.
  • 5+ years of experience with application architecture analysis, design, and delivery
  • 5+ years of full system development life cycle implementations
  • Ability to travel 0-25%, on average, based on the work you do and the clients and industries / sectors you serve.
  • Limited immigration sponsorship may be available.
  • Preferred Qualifications :

  • Advanced degrees such as Masters or PhD are preferred
  • Certifications in AI / ML technologies and Cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect
  • 5 + years of experience in Data Science, Statistics, and Machine Learning
  • 5+ years of experience in Generative AI / LLMs, preferably experienced in delivering and productionizing
  • 5+ years of experience in machine learning model development, natural language processing, and data analysis; Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment
  • 5+ year of experience in implementing cloud-based AI / ML workloads on any of AWS, Microsoft and Azure.
  • Information for applicants with a need for accommodation : https : / / www2.deloitte.com / us / en / pages / careers / articles / join-deloitte-assistance-for-disabled-applicants.html

    Possible Locations : Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boise, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Davenport, Dayton, Denver, Des Moines, Detroit, Fort Worth, Fresno, Grand Rapids, Harrisburg, Hartford, Houston, Indianapolis, Jacksonville, Jersey City, Kansas City, Las Vegas, Los Angeles, Louisville, McLean, Memphis, Miami, Midland, Minneapolis, Morristown, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Princeton, Raleigh, Richmond, Rochester, Rosslyn, Sacramento, Salt Lake City, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe, Tulsa, Washington DC

    The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $159,375 to $265,625

    You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

    For more information about Human Capital, visit our landing page at : https : / / www2.deloitte.com / us / en / pages / careers / articles / join-deloitte-human-capital-consulting-jobs.html

    HC25 #HCaaS25

    Recruiting tips

    From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.

    Benefits

    At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.

    Our people and culture

    Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture.

    Our purpose

    Deloitte's purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. Learn more about Deloitte's purpose, commitments, and impact.

    Professional development

    From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.