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Job Description Transitional Services for New York, Inc., not-for profit, is a comprehensive, community-based mental health organization located in New York City. We provide a continuum of rehabilitative services to enrich the lives of those recovering from mental illness and facilitate their transition to increased levels of independence. Transitional Services for New York, Inc. envisions broadening its rehabilitative services and becoming a regional social service provider. Transitional Services for New York Staff will deliver effective programs with compassion, integrity, and professionalism. We expect all staff to put our clients’ needs first while respecting ourselves and each other as we provide hope to those who participate in our programs. Counselor (Mental Health) $22 Per Hour, Full-time TSINY, a non-profit Mental Health Services Agency seeks Counselor for its Residential Program, located in Queens Village, NY. Valid Driver License Required Position Summary Provide direct care services to assigned caseload. Work hands on with residents on learning daily living skills, such as personal hygiene, laundry, budgeting and room maintenance. Accompany residents on medical and benefits appointments and off-site recreational activities. Meet with caseload individually for weekly sessions. Conduct clothing inventory and shop for seasonal clothing. Essential Functions • Converse with shift going off duty for any pertinent information, i.e., appointments, overall residents’ behaviors, changes in medication, etc., • Supervise morning, afternoon and evening medication. Initial medication book immediately after each individual medication is given to a resident., • Alert day programs of resident's absence and lateness if resident has an appointment., • Complete change of shift checklist form to include: a. medication counts of controlled substance b. receipt of correct number of residents in the residence c. count correct number of charts in the file d. location of Agency vehicle e. correct number of house keys f. receipt of valuables in the house, i.e., TV, VCR, copy machine, etc. • Check staff revised schedules., • Check personal mailbox., • Assist residents with meal preparation when needed., • Report any pertinent information regarding residents and facility to shift supervisor throughout your shift., • Document in Communication Log any pertinent information regarding residents., • Meet with assigned caseload as scheduled., • Document all sessions on progress notes., • Maintain residents’ charts in accordance with Agency and OMH requirements and standards., • Meet with supervisor as scheduled., • Meet with all caseload residents to discuss all outstanding and ongoing issues., • Ensure all caseload residents have sufficient medication., • Escort residents to appointments if assigned (check appointment book or calendar)., • Escort residents shopping for personal needs., • Write Medicaid Progress Notes reflecting restorative services., • Begin status change form immediately upon hospitalization or other change of status and forward to Program Director, IDF Unit., • Visit hospitalized residents weekly., • Participate and supervise residents during fire drills., • Participate in Community Meetings., • Participate in staff meetings., • Complete quarterly ADL assessment for all caseload residents., • Participate in quarterly service plan review assessment and development., • Thoroughly inspect assigned residents' rooms for safety measures and report any damages or problems to shift supervisor., • Escort residents to Social Security office., • Escort residents shopping for new clothing (fall/winter and spring/summer)., • Functional assessment completed., • CPR/First Aid training, • Check to see that all of assigned residents have had their annual physical and dental check-ups., • Submit receipts for petty cash spent., • Inform residents of appointments., • Conduct and document room checks as needed., • Attend special on-site and off-site training, seminars, conferences, etc., • Check revised schedules for possible changes in hours/shifts and for holiday coverage., • Assist residents in completing Home Leave forms., • Make sure residents are dressed appropriately before leaving the facility., • Supervise kitchen activities (cooking, serving, clean-up) to ensure safety, health and cleanliness, as needed., • Assume Med/Shift Supervisor responsibilities as scheduled/needed., • Be able to sit or stand as needed, with or without reasonable accommodation., • May require walking, primarily on a level surface, for short periods throughout the day, with or without reasonable accommodation., • Be able to reach above shoulder heights, below the waist or lift as required to file documents or store materials throughout the workday, with or without reasonable accommodation., • Driver’s license required., • During a declared disaster, assume and adhere to assigned Job Action role(s) consistent with Disaster Preparedness Plan., • Perform other related duties as required. Experience/Education/Skills/Abilities High School diploma. TSINY is an equal opportunity employer that is committed to a policy of nondiscrimination in accordance with Title VII of the Civil Rights Act, as well as the New York State Human Rights Law. TSINY prohibits discrimination against any employee or applicant for employment on the basis of race, creed, color, national origin, sex, gender, age, disability, marital status, sexual orientation, citizenship status, veteran status or other protected group status as provided by law in all employment decisions.

We're working with a well-funded, early-stage AI startup tackling one of the most technically challenging problems in modern machine learning. This is an opportunity to join a small, research-driven team building cutting-edge deep learning systems at the intersection of generative AI, model evaluation, and AI reliability. The team operates with a strong engineering culture where research ideas are rapidly translated into production systems. You'll have significant ownership over model development, experimentation, and research direction while collaborating closely with experienced researchers and engineers. What You'll Be Working On • Designing and training large-scale deep learning models, • Running experiments to improve model accuracy and robustness, • Building and curating large synthetic datasets, • Researching novel techniques across generative AI and machine learning, • Developing production-ready ML systems rather than purely academic research, • Collaborating across research and engineering to bring new capabilities into production, • Publishing technical work where appropriate We're Looking For Someone Who Has: • PhD or equivalent industry experience in Machine Learning, Artificial Intelligence, NLP, Computer Vision, or a related field, • Strong research background with publications at leading ML conferences and/or experience building impactful AI products, • Deep understanding of modern generative models and large language models, • Experience training large neural networks using PyTorch, • Strong experimental mindset with the ability to design, execute, and analyse research, • Excellent software engineering skills alongside research experience Nice to Have • Experience with synthetic data generation, • Research in adversarial machine learning or model robustness, • Experience with interpretability or explainability techniques, • Background in NLP or computational linguistics, • Experience working with large-scale distributed training or AI infrastructure Why Join • Work on technically ambitious problems with real-world impact, • High ownership from day one within a small research team, • Opportunity to influence research direction as the company scales, • Collaborative environment where research and engineering work hand in hand, • Build systems that move quickly from experimentation into production

We're partnering with a well-funded early-stage AI startup looking to hire a Computer Vision Engineer to help build next-generation multimodal machine learning systems. This is an opportunity to join a small, highly technical team where engineers have significant ownership over both the research and production lifecycle of the models they build. This role is ideal for someone who enjoys taking models from experimentation through deployment, working across data, infrastructure, training, evaluation, and production systems. You'll help solve technically challenging problems in a fast-moving environment where engineering quality and real-world impact are equally important. What You'll Be Working On • Designing, training, and improving large-scale computer vision and deep learning models, • Owning the complete machine learning lifecycle from data preparation through production deployment and continuous improvement, • Building scalable inference services and distributed ML pipelines, • Developing evaluation frameworks, monitoring systems, and automated retraining workflows, • Creating synthetic datasets and large-scale data processing infrastructure, • Improving model accuracy, efficiency, robustness, and reliability through experimentation, • Working closely with engineering and product teams to bring research into production, • Contributing technical documentation, research publications, or engineering blogs where appropriate We're Looking For Someone Who Has • 3+ years of experience building and deploying machine learning systems in production, or a PhD in Computer Vision, Machine Learning, Artificial Intelligence, or a related discipline, • Strong software engineering experience alongside applied machine learning, • Experience training large neural networks using PyTorch, including distributed training, • Experience building production ML infrastructure, including model serving, data pipelines, and scalable deployment systems, • Deep understanding of modern generative image models such as diffusion models, GANs, or transformer-based vision architectures, • Experience working with multimodal learning or computer vision systems, • Familiarity with recent developments in large language models and foundation models Nice to Have • Experience with MLOps, model deployment, observability, or ML platform engineering, • Background in image analysis, media authenticity, or visual reasoning, • Experience with synthetic data generation or large-scale data pipelines, • Knowledge of adversarial machine learning, model robustness, or interpretability, • Experience building distributed AI systems that operate reliably at production scale Why Join • Small, highly technical team with meaningful ownership and autonomy, • Opportunity to work on challenging machine learning problems with real-world impact, • Research and engineering are closely connected, allowing ideas to move quickly into production, • Significant influence over technical direction, architecture, and model development, • Work alongside experienced researchers and engineers building state-of-the-art AI systems

Business Intelligence (BI) Manager Border of Nassau & Queens | Hybrid $150,000 - $175,000 A growing and well-established organization is seeking a Business Intelligence Manager to lead its reporting and analytics function while managing a team of Business Intelligence professionals. This is an outstanding opportunity for someone who enjoys combining hands-on technical work with leadership and business strategy. In this role, you'll help transform large volumes of business data into meaningful insights that drive smarter decisions across finance, operations, and executive leadership. You'll also play an important role in advancing the organization's use of AI and modern analytics tools. Responsibilities • Lead, mentor, and develop a team of Business Intelligence professionals., • Design and enhance executive dashboards, reports, and data visualizations using Power BI., • Partner with finance, operations, project management, and senior leadership to identify reporting needs and deliver actionable insights., • Ensure the accuracy, consistency, and integrity of reporting across multiple data sources., • Develop scalable reporting solutions that improve visibility into business performance., • Recommend new reporting capabilities, automation opportunities, and AI-driven solutions that improve efficiency and decision-making., • Establish reporting standards and best practices while continuously improving reporting processes., • Prioritize projects, manage competing initiatives, and communicate progress with leadership. Qualifications • Bachelor's degree preferred., • 5+ years of Business Intelligence, Data Analytics, or related experience., • Prior leadership or management experience., • Advanced Power BI experience, including dashboard development, data modeling, and DAX., • Strong understanding of relational databases and enterprise reporting., • Experience translating complex data into meaningful business recommendations., • Excellent communication and leadership skills., • Exposure to AI, predictive analytics, machine learning, or reporting automation is highly desirable., • Experience supporting construction, engineering, manufacturing, or other project-based industries is a plus. What's Offered • Hybrid work schedule, • Competitive salary of $150,000-$175,000, • Opportunity to lead a growing Business Intelligence function, • High visibility with executive leadership, • Strong long-term career growth, • Collaborative environment where technology, analytics, and innovation are driving the future of the business If you're a data-driven leader who enjoys building reporting solutions, developing teams, and helping organizations make better business decisions, we'd love to hear from you. Send your resume in Word format.

Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human. Salary Range: $278,000.00 - $362,000.00 The Growth Group helps people discover the joy of Etsy and creates lasting shopping experiences. We focus on human-centered growth that supports buyers and sellers across channels and platforms. As Senior Director of Product, Drive & Land Traffic, you'll help shape how people find Etsy, engage with the marketplace, and return over time. You'll guide the roadmap for offsite surfaces, landing experiences, and lifecycle engagement, making every interaction feel relevant and inspiring. You'll collaborate closely with Product Managers, Engineering, Design, Marketing, Machine Learning, Data Science, Research, and Finance to deliver meaningful, scalable solutions. This is a full-time position reporting to the Vice President, Product Growth. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy's Brooklyn Office Hub may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies here. What's this team like at Etsy? • Plan product strategy across the growth funnel, including acquisition, engagement, and reactivation, • Design personalized experiences powered by machine learning, • Develop marketing systems, including feeds, indexing, audience signals, and campaign automation, • Enable creators and influencers to drive traffic and discovery, • Build landing and entry experiences that guide buyers to engaging onsite journeys, • Help sellers promote shops and listings through Etsy's marketing channels, • Create content systems that combine human curation and algorithmic recommendations, • This team helps people discover Etsy, engage more often, and form meaningful connections with the marketplace. What does the day-to-day look like? • Set and share a clear vision for growth, engagement, and marketing innovation, • Translate strategy into priorities and measurable outcomes for your team, • Shape and adjust the product roadmap, balancing short-term results with long-term growth, • Partner with Marketing to improve channel performance and user experiences, • Apply machine learning, personalization, and testing to deliver relevant experiences, • Collaborate with Engineering, Design, Data Science, Analytics, and Research to build scalable solutions, • Establish routines that encourage learning, experimentation, and accountability, • Coach and mentor Product Managers, supporting their growth and leadership development, • Represent your portfolio in executive discussions and planning meetings, • Support Etsy's mission, ensuring growth strategies benefit buyers, sellers, and the marketplace, • Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law. Leadership at Etsy As a Senior Director, you'll shape both what we build and how we work. We're looking for leaders who: • Set strategy and contribute to company-wide priorities, • Build inclusive, high-performing teams and support future product leaders, • Raise standards for product quality, testing, and customer understanding, • Provide clarity in uncertain situations and guide teams with care, • Balance bold innovation with responsible marketplace stewardship Qualities that will help you thrive in this role are: You'll thrive in this role if you have experience with many of the following: • 12+ years in product management, including leading teams of Product Managers, • Managing large-scale growth portfolios in fast-paced marketplaces or consumer tech, • Experience with marketing, engagement, landing page optimization, and conversion, • Using data, testing, and machine learning to create measurable impact, • Comfort working across teams and aligning stakeholders across Product, Marketing, Finance, and Engineering, • Ability to switch between strategic and operational thinking, • Clear, motivating communication that inspires teams, • Managing revenue impact and navigating trade-offs thoughtfully, • A genuine connection to Etsy's mission, with enthusiasm for people-centered commerce Additional Information What's Next If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about. Our Promise At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

Job Description Transitional Services for New York, Inc., not-for profit, is a comprehensive, community-based mental health organization located in New York City. We provide a continuum of rehabilitative services to enrich the lives of those recovering from mental illness and facilitate their transition to increased levels of independence. Transitional Services for New York, Inc. envisions broadening its rehabilitative services and becoming a regional social service provider. Transitional Services for New York Staff will deliver effective programs with compassion, integrity, and professionalism. We expect all staff to put our clients’ needs first while respecting ourselves and each other as we provide hope to those who participate in our programs. Counselor (Mental Health) $22 Per Hour, Part-time TSINY, a non-profit Mental Health Services Agency seeks Counselor for its Residential Program, located in Queens Village, NY. Valid Driver License Required Position Summary Provide direct care services to assigned caseload. Work hands on with residents on learning daily living skills, such as personal hygiene, laundry, budgeting and room maintenance. Accompany residents on medical and benefits appointments and off-site recreational activities. Meet with caseload individually for weekly sessions. Conduct clothing inventory and shop for seasonal clothing. Essential Functions • Converse with shift going off duty for any pertinent information, i.e., appointments, overall residents’ behaviors, changes in medication, etc., • Supervise morning, afternoon and evening medication. Initial medication book immediately after each individual medication is given to a resident., • Alert day programs of resident's absence and lateness if resident has an appointment., • Complete change of shift checklist form to include: a. medication counts of controlled substance b. receipt of correct number of residents in the residence c. count correct number of charts in the file d. location of Agency vehicle e. correct number of house keys f. receipt of valuables in the house, i.e., TV, VCR, copy machine, etc. • Check staff revised schedules., • Check personal mailbox., • Assist residents with meal preparation when needed., • Report any pertinent information regarding residents and facility to shift supervisor throughout your shift., • Document in Communication Log any pertinent information regarding residents., • Meet with assigned caseload as scheduled., • Document all sessions on progress notes., • Maintain residents’ charts in accordance with Agency and OMH requirements and standards., • Meet with supervisor as scheduled., • Meet with all caseload residents to discuss all outstanding and ongoing issues., • Ensure all caseload residents have sufficient medication., • Escort residents to appointments if assigned (check appointment book or calendar)., • Escort residents shopping for personal needs., • Write Medicaid Progress Notes reflecting restorative services., • Begin status change form immediately upon hospitalization or other change of status and forward to Program Director, IDF Unit., • Visit hospitalized residents weekly., • Participate and supervise residents during fire drills., • Participate in Community Meetings., • Participate in staff meetings., • Complete quarterly ADL assessment for all caseload residents., • Participate in quarterly service plan review assessment and development., • Thoroughly inspect assigned residents' rooms for safety measures and report any damages or problems to shift supervisor., • Escort residents to Social Security office., • Escort residents shopping for new clothing (fall/winter and spring/summer)., • Functional assessment completed., • CPR/First Aid training, • Check to see that all of assigned residents have had their annual physical and dental check-ups., • Submit receipts for petty cash spent., • Inform residents of appointments., • Conduct and document room checks as needed., • Attend special on-site and off-site training, seminars, conferences, etc., • Check revised schedules for possible changes in hours/shifts and for holiday coverage., • Assist residents in completing Home Leave forms., • Make sure residents are dressed appropriately before leaving the facility., • Supervise kitchen activities (cooking, serving, clean-up) to ensure safety, health and cleanliness, as needed., • Assume Med/Shift Supervisor responsibilities as scheduled/needed., • Be able to sit or stand as needed, with or without reasonable accommodation., • May require walking, primarily on a level surface, for short periods throughout the day, with or without reasonable accommodation., • Be able to reach above shoulder heights, below the waist or lift as required to file documents or store materials throughout the workday, with or without reasonable accommodation., • Driver’s license required., • During a declared disaster, assume and adhere to assigned Job Action role(s) consistent with Disaster Preparedness Plan., • Perform other related duties as required. Experience/Education/Skills/Abilities High School diploma. TSINY is an equal opportunity employer that is committed to a policy of nondiscrimination in accordance with Title VII of the Civil Rights Act, as well as the New York State Human Rights Law. TSINY prohibits discrimination against any employee or applicant for employment on the basis of race, creed, color, national origin, sex, gender, age, disability, marital status, sexual orientation, citizenship status, veteran status or other protected group status as provided by law in all employment decisions.

About the Role - Mercor is partnering with a leading AI research lab to support a Frontier Code Agents project. What You'll Do - Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks. Regular use of AI coding agents such as Cursor, Claude Code

What we're looking for: - Professional experience in machine learning model development, Python & ML frameworks (PyTorch/TensorFlow), model deployment & MLOps - Strong communication skills - Ability to work independently in a remote environment How it works: This is not a specific job posting.

What You’ll Do - Attempt open-ended machine learning research tasks under a fixed time and compute budget (work trial) - Work independently in a sandboxed Linux environment with internet access - Use your preferred tooling, including IDEs and AI coding assistants such as Cursor, Claude Code, and C

Espresso AI Sales Development Representative.Espresso AI's mission is to use machine learning to automate performance engineering.Today, we help our customers reduce Snowflake and Databricks SQL compute costs by up to 70%, unlocking massive efficiency gains without requiring any workflow changes.Mor

Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. Background in developing and deploying machine learning solutions in production settings.

Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models. Required Qualifications 2+ years of applicable work experience Proficiency in Python, specifically with ETL pipelines Strong proficiency in SQL and experience in develo

As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front‑end, back‑end, full‑stack, machine learning, and other engineers — who are driving real‑world impact in AI development. Our platform offers an engaging b

A cutting-edge AI company is seeking a Computational Food Scientist to join their Bioinformatics team. The role involves leveraging AI and machine learning to drive insights in food and nutrition.

Coordinate with our implementation engineering team to ensure successful technical delivery. You are willing to learn the fundamental concepts of data fusion and machine learning and can effectively communicate our product's value to both technical and commercial audiences. Senior Technical Account

In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms.

As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front‑end, back‑end, full‑stack, machine learning, and other engineers — who are driving real‑world impact in AI development. Previous experience as a Software

Optimal is urgently hiring a Machine Learning Research Engineer specializing in Scientific & Engineering AI.

Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front‑end, back‑end, full‑stack, machine learning, and other eng

Job Description Transitional Services for New York, Inc., not-for profit, is a comprehensive, community-based mental health organization located in New York City. We provide a continuum of rehabilitative services to enrich the lives of those recovering from mental illness and facilitate their transition to increased levels of independence. Transitional Services for New York, Inc. envisions broadening its rehabilitative services and becoming a regional social service provider. Transitional Services for New York Staff will deliver effective programs with compassion, integrity, and professionalism. We expect all staff to put our clients’ needs first while respecting ourselves and each other as we provide hope to those who participate in our programs. Secretary Counselor - $22 Per Hour , Part-Time, at Residential Facility, in Jamaica (Queens), NY Driver License Required Position Summary Submit, distribute and monitor requests for personal needs allowance amounts for residents. Generate and provide the staff schedule. Clerical work that includes, but is not limited to, answering phones, photocopying and keeping good records of all financial transactions. Provide direct care services to assigned caseload. Work hands on with residents on learning daily living skills, such as personal hygiene, laundry, budgeting and room maintenance. Accompany residents on medical and benefits appointments and off-site recreational activities. Meet with caseload individually for weekly sessions. Conduct clothing inventory and shop for seasonal clothing. Essential Functions • Type correspondence as requested., • Complete monthly money request for the residents., • Complete petty cash requests., • Distribute weekly monies to residents., • Complete order requests for: a. Paper order supplies b. Office supplies c. Miscellaneous orders • Submit weekly time sheets after Director's review., • Maintain residents' financial records., • Complete change of shift checklist form to include: a. Medication count of control substance b. Receipt of correct number of residents in the residence c. Count correct number of charts in the file d. Location of Agency vehicle e. Correct number of house keys f. Receipt of valuables in the house, i.e., TV, VCR, copy machine, etc. • Read Communication Log to obtain information from previous shift regarding situation of immediate attention, i.e., crisis, maintenance, medical appointments, escorting residents to the clinics., • Check mailboxes. Follow up if specific instructions have been given by Director. Check for messages from other co-workers., • Check petty cash box. Submit receipts for petty cash expenditures., • Report any unusual or different circumstances in the Communication Log (i.e., resident's change in behavior)., • Physical check of all residents' rooms (i.e., behind beds, closets, etc.)., • Check all fire exits., • Meet individually with all residents on your caseload to check the following: a. Check residents' medication. b. Check program and/or workshop attendance. c. Check room for cleanliness and tidiness. d. Check weekly budgeting plans. e. Check residents' daily for grooming and adequate clothing. f. Check residents' laundry completion. g. Check residents' compliance with daily chore assignment. h. Check residents' compliance with cooking assignment. i. Complete a progress note in the resident's chart. This progress note must reflect the individual treatment plans. • Meet in group sessions with residents daily according to activities of daily living schedule., • Escort residents to recreation outings as per recreation schedule., • Completion of clinical contacts., • Accompany residents to case conferences and medical appointments as needed and suggested by clinical team, • Quarterly Service Plans, • Case reviews, • ADL quarterly evaluation, • Physical examination for residents, • Functional assessment forms, • Residents' fee agreements, • Be able to sit or stand as needed, with or without reasonable accommodation., • May require walking, primarily on a level surface, for short periods throughout the day, with or without reasonable accommodation., • Be able to reach above shoulder heights, below the waist or lift as required to file documents or store materials throughout the workday, with or without reasonable accommodation., • Driver’s license required., • During a declared disaster, assume and adhere to assigned Job Action role(s) consistent with Disaster Preparedness Plan., • Perform other related duties as required. Experience/Education/Skills/Abilities • High School diploma, • Driver’s license required. TSINY is an equal opportunity employer that is committed to a policy of nondiscrimination in accordance with Title VII of the Civil Rights Act, as well as the New York State Human Rights Law. TSINY prohibits discrimination against any employee or applicant for employment on the basis of race, creed, color, national origin, sex, gender, age, disability, marital status, sexual orientation, citizenship status, veteran status or other protected group status as provided by law in all employment decisions.