machine learning specialist

Prolific

<div>
 <strong>
  AI Trainer &ndash; Machine Learning Specialists
  <br/>
  <br/>
 </strong>
 <strong>
  About Prolific
  <br/>
  <br/>
 </strong>
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 <br/>
 <br/>
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 <br/>
 <br/>
 <em>
  The role
  <br/>
  <br/>
 </em>
 We&rsquo;re looking for
 <strong>
  AI Trainer &ndash; Machine Learning Specialists
 </strong>
 to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we&rsquo;ll send you a quick
 <strong>
  10- to 15-minute test
 </strong>
 to assess your skills and suitability for AI tasks. If successful, you&rsquo;ll be invited to join Prolific as a participant, where you&rsquo;ll get paid to train and evaluate powerful AI models.
 <br/>
 <br/>
 Researchers looking for your skills tend to pay up to
 <strong>
  $150/hr per AI task completed
 </strong>
 . You must be prepared to complete paid tasks that require
 <strong>
  one hour of uninterrupted work
 </strong>
 , though many are shorter.
 <br/>
 <br/>
 What you&rsquo;ll bring
 <br/>
 <br/>
 <ul>
  <li>
   AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)
  </li>
  <li>
   A willingness to take our skills verification test to assess your suitability for our participant pool
  </li>
  <li>
   Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
  </li>
  <li>
   A reliable and fast internet connection and access to a computer
  </li>
  <li>
   A willingness to self-declare your earnings, as our participants are self-employed
  </li>
  <li>
   A Paypal account to receive payment from our clients
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  What you&rsquo;ll be doing in the role
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)
  </li>
  <li>
   Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)
  </li>
  <li>
   Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Key Technologies
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   General AI Training
  </li>
  <li>
   Model Evaluation and Evals
  </li>
  <li>
   Trust and Safety
  </li>
  <li>
   Red Teaming
  </li>
  <li>
   Quality Analytics
  </li>
  <li>
   Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation)
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Why Prolific is a great platform to join as a Participant
  <br/>
  <br/>
 </em>
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 <br/>
 <br/>
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 <br/>
 <br/>
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breath and the best of humanity.
 <br/>
 <br/>
 <em>
  Links to more information on Prolific
  <br/>
  <br/>
 </em>
 Website
 <br/>
 <br/>
 Youtube
 <br/>
 <br/>
 Privacy Statement
 <br/>
 <br/>
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
</div>


AI Training - Machine Learning Specialist (EST)

CapTech

<div>
 <p>
  CapTech is an award-winning consulting firm that collaborates with clients to achieve what&rsquo;s possible through the power of technology. At CapTech, we&rsquo;re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
  <br/>
  <br/>
  <br/>
  <br/>
 </p>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <p>
  CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
  <br/>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Specific responsibilities for the Machine Learning Engineer position include:
    <br/>
    <br/>
   </em>
  </strong>
 </p>
 <ul>
  <li>
   Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
  </li>
  <li>
   Deconstructing client needs into data-driven processes/models and analytical measures.
  </li>
  <li>
   Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
  </li>
  <li>
   Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
  </li>
  <li>
   Productionizing ML systems with a focus on optimization and scalability to satisfy clients&rsquo; requirements.
  </li>
  <li>
   Growing CapTech&rsquo;s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree or equivalent combination of education and experience.
  </li>
  <li>
   Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
  </li>
  <li>
   Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
  </li>
  <li>
   Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
  </li>
  <li>
   Proficiency with containerization (e.g., Docker) and microservices.
  </li>
  <li>
   Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
  </li>
  <li>
   Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
  </li>
  <li>
   Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
  </li>
  <li>
   Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
  </li>
  <li>
   Knowledge of DevOps and automation best practices.
  </li>
  <li>
   Knowledge of statistics and statistical modeling methods.
  </li>
  <li>
   Knowledge of model management and model versioning best practices.
  </li>
  <li>
   Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
  </li>
  <li>
   Experience with prompt engineering, MCP and RAG, and agentic AI architectures
  </li>
  <li>
   Strong understanding of conversational UX and prompt evaluation metrics
  </li>
  <li>
   Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
  </li>
  <li>
   Experience with multi-agent orchestration
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 <p>
  We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions.  You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way.  Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we&rsquo;ve launched extended benefits to help meet our employees&rsquo; needs.
  <br/>
  <br/>
 </p>
 <ul>
  <li>
   CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  </li>
  <li>
   Learning &amp; Development &ndash; Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  </li>
  <li>
   Modern Health &ndash;A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life&rsquo;s ups and downs
  </li>
  <li>
   Carrot Fertility &ndash;Inclusive fertility and family-forming coverage for all paths to parenthood &ndash; including adoption, surrogacy, fertility treatments, pregnancy, and more &ndash; and opportunities for employer-sponsored funds to help pay for care
  </li>
  <li>
   Fringe &ndash;A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them &ndash; ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  </li>
  <li>
   Employee Resource Groups &ndash; Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  </li>
  <li>
   Philanthropic Partnerships &ndash; Opportunities to engage in partnerships and pro-bono projects that support our communities.
  </li>
  <li>
   401(k) Matching &ndash; Generous matching and no vesting period to help you continue to build financial wellness
  </li>
 </ul>
 <p>
  CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness &mdash; each foundational to our core values.  We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE.  As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
  <br/>
  <br/>
 </p>
 <p>
  At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
 </p>
</div>


Machine Learning / Data Science Engineer

Spotify

<div><div><div><div><div><div>Engineering</div></div></div><div><div>
Machine Learning</div></div></div><div><div>
Permanent</div></div><div><div>
New York</div></div><div><div><div>
<div>We design Spotify&rsquo;s consumer experience&mdash;end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints&mdash;from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.<br>
<br>
The Verbatim squad sits within the Enrichment &amp; Content Intelligence product area and is focused on helping Spotify better understand audio, text, and visual content through machine learning. The team develops technologies that power experiences across Spotify including content skipping, transcription, moderation, and visual understanding. Working at the intersection of large-scale machine learning and product innovation, the squad partners closely with Product, Engineering, and Data Science teams to build intelligent systems that improve how users experience content across the platform.</div>
</div></div></div></div><div><div><p>
What You'll Do</p><ul><div>
<ul>
<li>Lead end-to-end machine learning initiatives from ideation and prototyping through experimentation, deployment, and large-scale productionization.</li>
<li>Design, develop, and deploy machine learning systems that operate across hundreds of millions of content signals using both real-time and batch processing architectures.</li>
<li>Advance Spotify&rsquo;s capabilities in natural language understanding, multimodal AI, and content intelligence.<br>
Build and evaluate LLM-powered solutions using modern prompting techniques, retrieval systems, and advanced model orchestration approaches.</li>
<li>Define rigorous evaluation methodologies including golden datasets, precision and recall frameworks, offline benchmarking, and online experimentation.</li>
<li>Partner closely with Product Managers, Engineering Managers, Staff Engineers, and Data Scientists to influence technical strategy and roadmap decisions.</li>
<li>Mentor engineers across the organization and help elevate machine learning engineering standards and best practices.</li>
<li>Contribute to the adoption of AI-assisted development workflows and tooling that improve team productivity and engineering effectiveness.</li>
</ul>
</div></ul></div></div><div><div><p>Who You Are</p><ul><div>
<ul>
<li>You have solid experience developing and deploying machine learning systems in production environments.</li>
<li>You have successfully delivered large-scale machine learning architectures operating on substantial datasets and high-throughput production systems.</li>
<li>You have deep experience with machine learning, deep learning, and modern AI technologies.</li>
<li>You have hands-on experience working with large language models and understand how to evaluate, adapt, and deploy them effectively for real-world product challenges.</li>
<li>You have experience building evaluation frameworks and can quantify model performance through robust experimentation and measurement techniques.</li>
<li>You know how to navigate ambiguity and make thoughtful technical trade-offs that balance product impact, scalability, and engineering quality.</li>
<li>You have experience influencing technical direction across cross-functional teams and can communicate complex machine learning concepts to diverse audiences.</li>
<li>You care about developing others and enjoy mentoring engineers through technical guidance and collaboration.</li>
<li>You have experience working with NLP, prompt engineering, retrieval-augmented generation (RAG), vector databases, or multimodal machine learning systems.</li>
<li>You are curious about emerging AI technologies and excited about integrating tools such as Claude Code, Cursor, and other AI-assisted development capabilities into engineering workflows.</li>
</ul>
</div></ul></div></div><div><div><p>Where You'll Be</p><ul><div>
<ul>
<li>This role is based in New York City</li>
<li>We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.</li>
</ul>
</div></ul></div></div><div><div><p>Learn about life at Spotify</p></div><div><div>
<div>
The United States base range for this position is $184,049&ndash;262,928 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.</div>
</div></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Senior Machine Learning Engineer, Content Intelligence

Booz Allen Hamilton

<div>Machine Learning Engineer<p><b>
The Opportunity:</b></p><p>
As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support warfighter performance challenges. As a machine learning engineer on our Warfighter Performance team, you&rsquo;ll train, test, deploy, and maintain models that learn from data.</p><p></p><p>
In this role, you&rsquo;ll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You&rsquo;ll grow within a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, SMEs, and product owners to deliver world-class solutions to optimize warfighter performance. Your skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks.</p><p></p><p>
Work with us to solve real-world challenges and define ML strategy for warfighter performance and warfighter technology.</p><p></p><p>
Join us. The world can&rsquo;t wait.</p><p></p><p><b>
You Have:</b></p><ul><li><p>
Experience with Python, SQL, or Git</p></li><li><p>
Experience with data analysis or machine learning workflows and models</p></li><li><p>
Experience using libraries such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow</p></li><li><p>
Experience building scripts, notebooks, prototypes, or small applications that process data and support AI/ML use cases</p></li><li><p>
Knowledge of machine learning fundamentals, data preprocessing, model evaluation, prompt engineering, LLMs, embeddings, and retrieval-augmented generation concepts</p></li><li><p>
Knowledge of APIs, structured data, cloud-hosted services, and how AI systems use tools and external knowledge sources to generate grounded responses</p></li><li><p>
Ability to write clean code, troubleshoot technical issues, learn new frameworks quickly, and support development of AI/ML prototypes, data pipelines, model workflows, and agentic workflow components</p></li><li><p>
Ability to communicate technical work clearly, document progress, and present findings to technical and non-technical stakeholders</p></li><li><p>
Ability to obtain a Secret clearance</p></li><li><p>
Bachelor&rsquo;s degree</p></li></ul><p></p><p><b>
Nice If You Have:</b></p><ul><li><p>
Experience supporting LLM-based applications, retrieval-augmented generation, tool-calling agents, evaluation workflows, or AI-assisted decision support systems</p></li><li><p>
Experience with cloud or DevOps tools such as AWS, Docker, CI/CD, Linux, APIs, vector search, notebooks, lightweight dashboards, or backend services</p></li><li><p>
Knowledge of agentic AI patterns, including tool use, prompt libraries, memory, retrieval, guardrails, evaluation, and human-in-the-loop workflows</p></li><li><p>
Knowledge of human performance, health, fitness, sleep, nutrition, readiness, or behavioral data</p></li><li><p>
Ability to help design, test, and improve agentic AI workflows that combine models, tools, data sources, and business rules</p></li><li><p>
Ability to document experiments, compare model outputs, evaluate failure cases, and clearly brief recommendations, risks, and progress to project teams or clients</p></li><li><p>
Secret clearance</p></li><li><p>
Master&rsquo;s degree</p></li></ul><p></p><p><b>
Clearance:</b></p><p>
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.</p><p></p><p><b>
Compensation</b></p><p>
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.</p><p></p>
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.<p></p><p><b>
Identity Statement</b></p><p>
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.</p><p></p><p><b>
Candidate AI Usage Policy</b></p><p>
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on <b>your </b>own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited <b>unless permission is explicitly provided</b>.
</p><p></p><p><b>Work Model</b><br>
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.</p><ul><li><p><b>
Remote</b>: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</p></li><li><p><b>
Hybrid</b>: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</p></li><li><p><b>
Onsite</b>: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</p></li></ul><p></p><p><b>
Commitment to Non-Discrimination</b></p><p>
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</p></div><p></p>

Machine Learning Engineer

Mindrift

<div>
 <em>
  Please submit your CV in English and indicate your level of English proficiency.
  <br/>
  <br/>
 </em>
 Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
 <strong>
  Participation is project-based, not permanent employment.
  <br/>
  <br/>
 </strong>
 <strong>
  What This Opportunity Involves
  <br/>
  <br/>
 </strong>
 While each project involves unique tasks, contributors may:
 <br/>
 <br/>
 <ul>
  <li>
   Design original computational STEM problems that simulate real scientific workflows
  </li>
  <li>
   Create problems that require Python programming to solve
  </li>
  <li>
   Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
  </li>
  <li>
   Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches
  </li>
  <li>
   Verify solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn)
  </li>
  <li>
   Document problem statements clearly and provide verified correct answers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Look For
  <br/>
  <br/>
 </strong>
 This opportunity is a good fit for ML specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
 <br/>
 <br/>
 <ul>
  <li>
   5+ years of hands-on machine learning experience with proven business impact
  </li>
  <li>
   Portfolio of completed projects and publications showcasing real-world problem-solving
  </li>
  <li>
   Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)
  </li>
  <li>
   Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications
  </li>
  <li>
   Expert with SQL and database operations for data manipulation and analysis
  </li>
  <li>
   Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
  </li>
  <li>
   Understanding of MLOps practices and model deployment workflows
  </li>
  <li>
   Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
  </li>
  <li>
   Strong written English (C1+)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  How It Works
  <br/>
  <br/>
 </strong>
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paid
 <br/>
 <br/>
 <strong>
  Project time expectations
  <br/>
  <br/>
 </strong>
 For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
 <br/>
 <br/>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 On this project, contributors can earn up to
 <strong>
  $90 per hour equivalent
 </strong>
 , depending on their level and pace of contribution.
 <br/>
 <br/>
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
</div>


Freelance Machine Learning Engineer

Deloitte

<div>
 <strong>
  AI/ML Engineering, Senior Tech Lead, Cairo, Egypt
  <br/>
  <br/>
 </strong>
 <strong>
  Connect to your career at Deloitte
  <br/>
  <br/>
 </strong>
 Deloitte, established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal, Strategic Risk &amp; Transactions Advisory and Technology &amp; Transformation and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
 <br/>
 <br/>
 Deloitte Innovation Hub (DIH) is a strategic initiative established to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
 <br/>
 <br/>
 We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.
 <br/>
 <br/>
 <strong>
  Connect to your opportunity
  <br/>
  <br/>
 </strong>
 Data requirements gathering and client engagement.
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 <br/>
 <ul>
  <li>
   Being able to engage with the client to understand their pain points and requirements.
  </li>
  <li>
   Communicate solutions/propositions effectively back to client/team.
   <br/>
   <br/>
  </li>
 </ul>
 Data analysis and pre-processing
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 <br/>
 <ul>
  <li>
   Collect and clean large datasets for machine learning projects.
  </li>
  <li>
   Explore data to identify patterns, anomalies, and potential insights.
  </li>
  <li>
   Pre-process data, including feature engineering and normalization.
   <br/>
   <br/>
  </li>
 </ul>
 Algorithm Development
 <br/>
 <br/>
 <ul>
  <li>
   Design, develop, and implement machine learning algorithms.
  </li>
  <li>
   Experience with various machine learning models and techniques.
  </li>
  <li>
   Optimize algorithms for accuracy, efficiency, and scalability.
   <br/>
   <br/>
  </li>
 </ul>
 Model Training and Evaluation
 <br/>
 <br/>
 <ul>
  <li>
   Train machine learning models using collected data.
  </li>
  <li>
   Perform testing to validate models
  </li>
  <li>
   Evaluate model performance using appropriate metrics and techniques.
  </li>
  <li>
   Fine-tune models to improve predictive accuracy.
   <br/>
   <br/>
  </li>
 </ul>
 Data Visualization
 <br/>
 <br/>
 <ul>
  <li>
   Create informative data visualizations to communicate insights effectively
  </li>
  <li>
   Familiarity with visualization libraries like Matplotlib, Seaborn, or data visualization software like Tableau, Power BI.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Connect To Your Skills And Professional Experience
  <br/>
  <br/>
 </strong>
 You're a Natural Problem Solver: Collaboration is at the core of our culture, and we're seeking someone who excels in teamwork and brings out the best in their colleagues. You'll be a brilliant listener, promoting a culture of innovation and knowledge sharing. At Deloitte, we believe in giving our AI/ML Engineers the autonomy they need to excel while upholding our high standards, integrity, and culture.
 <br/>
 <br/>
 <ul>
  <li>
   10+ years of experience in data engineering / data science
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Essentials
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Technical Expertise: Mastery in AI and ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and libraries.
  </li>
  <li>
   Data proficiency: Proficient in data collection, pre-processing, and analysis.
  </li>
  <li>
   Model Mastery: Proven experience in developing and fine-tuning machine learning models.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desirables
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  <br/>
 </strong>
 <ul>
  <li>
   Domain Knowledge: Familiarity with deploying ML frameworks in industry
  </li>
  <li>
   Research Enthusiast: A strong interest in staying abreast of the latest AI/ML advancements.
  </li>
  <li>
   Project Leadership: Previous experience leading AI/ML initiatives.
   <br/>
   <br/>
  </li>
 </ul>
 Diversity is our strength, and we celebrate the individuality of our team members. At Deloitte, we embrace differences and encourage everyone to be their authentic selves. We believe that it's these differences that keep us strong, successful, and diverse. Join us and be a part of a team that values your uniqueness!
 <br/>
 <br/>
 <strong>
  Connect to your service line - Technology and Transformation
  <br/>
  <br/>
 </strong>
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
 <br/>
 <br/>
 <strong>
  Personal independence
  <br/>
  <br/>
 </strong>
 Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further details as you progress through the recruitment process.
 <br/>
 <br/>
 <strong>
  Connect to your Industry
  <br/>
  <br/>
 </strong>
 &ldquo;What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte&rsquo;s clients include many of the world&rsquo;s largest organizations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo;
 <br/>
 <br/>
 <ul>
  <li>
   Dan, Technology &amp; Transformation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our commitment to you
  <br/>
  <br/>
 </strong>
 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So, we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
 <br/>
 <br/>
 We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
 <br/>
 <br/>
 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
 <br/>
 <br/>
 <strong>
  Connect to your next step
  <br/>
  <br/>
 </strong>
 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
</div>


Deloitte Innovation Hub I AI/ML Engineering, Senior Tech Lead, Cairo, Egypt

BTS Software Solutions

<div><p><b>+++ This opportunity is for an upcoming award expected in July 2026****</b></p>
<p><b>BTS Software Solutions</b> is seeking a Maven Exploitation Specialist/ Data Scientist Middle to support Department of Defense IC missions at Springfield, VA.</p>
<p>The Maven Exploitation Specialist/ Data Scientist Middle shall support the maintenance of data holdings, ensure compliance to data standards, and perform quantitative analysis of data. Data analysis will involve transforming data, developing visuals to assist with data understanding, and conducting analysis to make recommendations on data strategies to improve Machine Leaming (ML) model development.</p>
<p>Primary Location: <b>Springfield, VA</b></p>
<p>Secondary Locations: <b>St. Louis, Missouri</b></p>
<p>Clearance Requirement:<b> TS/SCI, must be willing to take a CI Poly in the future</b></p>
<p><b>What You&rsquo;ll Get to Do</b>:</p>
<p><b>Job Duties:</b></p>
<ul><li>Work with GEOSPI team to enhance workflows, automate standard processes, and create efficient processes that result in greater preprocessing productivity.</li>
<li>Lead and conduct projects using advanced mathematical, statistical, and scientific<br>
techniques and principles to examine complex missions and operational problems and create insights from data.</li>
<li>Support data analytics, data cleaning, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities.</li>
<li>Apply statistical and analytic methods to support answering intelligence questions, mission requirements, and advanced data analysis.</li>
<li>Build lightweight analytic tools to visualize data metrics and assess progress of data preprocessing efforts against Government goals</li>
<li>Design methods and mechanisms to track, report, and monitor data in order to ensure pipeline movements are timely and support all necessary processes.</li>
<li>Develop system to provide automated checks on data and processes to guarantee continuous pipeline support.</li>
<li>Ingest and rectify non-standard data and data in formats that are new within the Data Management Platform (DMP), for integration and curation.</li>
<li>Generate and manage data dictionaries to ensure information stays updated as data tables change</li>
<li>Provide data analysis expertise for assistance in determining if imagery curation<br>
techniques and strategies are effective in identifying images of value ( e.g., containing objects of interest or specific imagery characteristics)</li>
</ul>
<p><b>Education/Experience</b>:</p>
<ul><li>Experience preparing data, performing statistical analysis, and applying tools and algorithms to gain insights from large, complex geospatial datasets.</li>
<li>Experience with programming languages and tools such as Python, R, SQL, GIS, or Tableau.</li>
<li>Experience developing visualizations to communicate analytical results and to assist technical and non-technical audiences in understanding information from large datasets.</li>
</ul>
<p><b>Desired Skills</b></p>
<ul><li>Experience working in AI/ML-relevant fields related to imagery exploitation</li>
</ul>
<p><b>Pay Range: $140,000-$155,000</b><br>
The BTS pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Our approach to crafting offers considers various factors to establish an equitable and competitive compensation package. These considerations include, but are not limited to, the extent and intricacy of the role&rsquo;s responsibilities, the candidate&rsquo;s educational background, their work experience, and the specific competencies crucial for success in the role.</p>
<p><b>Company Overview:</b></p>
<p>BTS Software Solutions is a Service-Disabled Veteran Owned Small Business who are community-focused innovators who transform ideas into technology to serve people. We recognize that innovation is only valuable when applied towards a needed solution. Technology has no value without the hard work to turn ideas into reality. Our roots are in helping save Soldiers&rsquo; lives through technology. We bring that ethos to serving our community. We create solutions that touch people's lives - products to communicate, to connect companies with customers, to stay informed, to save lives, and to enhance lives.</p>
<p>We have a small company persona with a large company ethos and capabilities; we create elegant solutions for complex problems that will enrich people&rsquo;s lives. We offer one of the best benefits packages in the industry: Competitive health benefits package, PTO, 401K matching and vested from day one to name just a few of our benefits and perks.</p>
<p><i>BTS Software Solutions is an Equal Opportunity Employer (EOE). All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.</i></p></div>

Maven Exploitation Specialist/ Data Analyst (Middle)

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