data scientist

senior data engineer

agentic ai engineer

ai content engineer

ai devops engineer

machine learning engineer

Amivero

<div>
 
 Amivero Team
 
 
 
 Amivero&rsquo;s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge and reimagining with our customer how outcomes can be achieved.
 
 
 Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people.
 
 
 As a member of the Amivero team you will use your empathy for a customer&rsquo;s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems.
 
 
 
 Special Requirements
 
 
 
 <ul>
 <li>
 US Citizenship Required to obtain Public Trust
 </li>
 <li>
 Active DHS Clearance (preferred)
 </li>
 <li>
 Bachelor Degree + 10 years of experience
 </li>
 <li>
 3+ years of experience developing and optimizing solutions using Python or similar, with a strong focus on performance, scalability, and efficiency
 </li>
 <li>
 Extensive experience working with vector technology databases, designing and implementing solutions to efficiently store, search, and analyze high-dimensional data for real-time and large-scale applications
 
 
 
 </li>
 </ul>
 
 The Gist&hellip;
 
 
 
 The AI/ML Engineer designs, develops, trains, and deploys machine learning models to support predictive analytics, anomaly detection, and decision-support capabilities. This role integrates AI/ML solutions into operational workflows, collaborating with data, product, and engineering teams to ensure models are effective, scalable, and aligned with organizational objectives.
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning models to support predictive analytics, anomaly detection, and decision-support tools.
 </li>
 <li>
 Integrate AI/ML solutions into operational systems and workflows to enhance automation and efficiency.
 </li>
 <li>
 Create and fine-tune algorithms for various tasks such as classification, regression, clustering, and recommendation systems.
 </li>
 <li>
 Preprocess, clean, and transform data to ensure high-quality inputs for model training.
 </li>
 <li>
 Develop models leveraging advanced machine learning techniques, including deep learning, reinforcement learning, and natural language processing.
 </li>
 <li>
 Build and maintain scalable and efficient data pipelines using Databricks and Hadoop/Cloudera.
 </li>
 <li>
 Implement ETL processes to clean, prepare, and transform large datasets for analysis and modeling.
 </li>
 <li>
 Ensure data integrity and quality throughout the data lifecycle.
 </li>
 <li>
 Evaluate model performance using appropriate metrics and implement improvements as needed.
 </li>
 <li>
 Collaborate with data engineers, product managers, and developers to align AI/ML solutions with program goals.
 </li>
 <li>
 Implement best practices for model versioning, deployment, monitoring, and retraining.
 </li>
 <li>
 Ensure compliance with data privacy, security, and regulatory standards in AI/ML workflows.
 </li>
 <li>
 Document model design, assumptions, data sources, and performance results.
 </li>
 <li>
 Stay current with emerging AI/ML technologies, frameworks, and research to enhance solutions.
 </li>
 <li>
 Mentor junior team members and contribute to knowledge sharing in AI/ML development practices.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field; a master&rsquo;s degree preferred.
 </li>
 <li>
 A bachelor&rsquo;s degree with an additional three (3) or more years of relevant experience may substitute for a master&rsquo;s degree.
 </li>
 <li>
 Minimum of five (5) years of directly related experience in AI/ML development, data science, or applied analytics.
 </li>
 <li>
 Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
 </li>
 <li>
 Strong programming skills in Python, Java, or R; experience with APIs and integration into production systems.
 </li>
 <li>
 Knowledge of data preprocessing, feature engineering, model evaluation, and deployment pipelines.
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
 </li>
 <li>
 Excellent analytical, problem-solving, and critical-thinking skills.
 </li>
 <li>
 Strong communication and collaboration skills, with the ability to work with cross-functional teams.
 </li>
 <li>
 Experience mentoring or guiding less experienced AI/ML engineers is a plus.
 
 
 
 </li>
 </ul>
 EOE/M/F/VET/DISABLED
 
 
 All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
</div>

AI/ML Developer

Catalyst Labs

<div>
 
 About The Job ML Engineer
 
 
 
 
 Our Client
 
 
 
 Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs.
 
 
 By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences.
 
 
 
 About Us
 
 
 
 Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that&rsquo;s deeply embedded in our clients&rsquo; recruitment operations.
 
 
 We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.
 
 
 
 Location
 
 : New York, NY
 
 
 
 Work type
 
 : Full Time,
 
 
 
 Compensation
 
 : above market base + bonus + equity
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecyclefrom conception to deployment and maintenance.
 </li>
 <li>
 Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
 </li>
 <li>
 Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
 </li>
 <li>
 Build agents capable of operating natively on real-world audio inputs.
 </li>
 <li>
 Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
 </li>
 <li>
 Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
 </li>
 <li>
 Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
 </li>
 <li>
 Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
 </li>
 <li>
 1-6 years of professional experience in ML engineering.
 </li>
 <li>
 Strong programming skills in Python (TypeScript experience is a plus).
 </li>
 <li>
 Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
 </li>
 <li>
 Familiarity with cloud environments and infrastructure (preferably AWS).
 </li>
 <li>
 Strong understanding of data pipeline design, real-time inference, and model monitoring.
 </li>
 <li>
 Excellent communication skills with the ability to engage directly with customers and stakeholders.
 
 
 </li>
 </ul>
 
 Core Experience
 
 
 
 <ul>
 <li>
 Proven experience building and deploying ML models into production environments.
 </li>
 <li>
 Demonstrated ability to own the full model lifecyclefrom data ingestion and model development to deployment and monitoring.
 </li>
 <li>
 Experience with audio-focused ML projects or similar domains involving unstructured data.
 </li>
 <li>
 Proficiency in building scalable data pipelines for model training and evaluation.
 </li>
 <li>
 Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
 </li>
 <li>
 Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
 </li>
 </ul>
</div>

ML Engineer

Cloudera

<div>Business Area:
Professional Services
Seniority Level:
Mid-Senior level
Job Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world&rsquo;s largest enterprises.
As an AI Solutions Engineer within Cloudera&rsquo;s Public Sector Consulting team, you will be the technical architect and execution lead for agencies moving from &quot;data chaos&quot; to &quot;agentic autonomy.&quot; You will work directly with government organizations to design, build, and deploy mission-critical AI applications on the Cloudera Data Platform (CDP).
This is not a &quot;theoretical&quot; role. You will be on the front lines of Phase 2 and Phase 3 adoption journeys&mdash;helping customers clean legacy data silos, select the right model architectures, and industrialize MLOps pipelines in highly secure, often air-gapped or hybrid-cloud environments.
As the AI Solutions Engineer you will:
1. AI Model Strategy, Selection and Implementation<ul><li>
Evaluate and select optimal model architectures (LLMs, SLMs, or traditional ML) based on mission requirements, considering tradeoffs between accuracy, latency, and cost.</li><li>
Guide customers on &quot;Build vs. Buy vs. Fine-tune&quot; decisions, prioritizing open-source models (Llama, Mistral, Falcon) that can run securely within a sovereign data perimeter.</li><li>
Experience building Agentic Workflows (AI agents that can execute API calls and multi-step tasks).</li></ul>
2. End-to-End Data Engineering<ul><li>
Design and implement robust data pipelines within CDP to transform &quot;messy&quot; legacy data into AI-ready formats.</li><li>
Develop and optimize Vector Databases and Retrieval-Augmented Generation (RAG) architectures to ground AI responses in verified agency facts.</li><li>
Build Data pipelines with Spark, Nifi, Kafka or other ETL tools.</li></ul>
3. Optimization &amp; Performance Tuning<ul><li>
Optimize model inference for production environments using quantization, pruning, and hardware acceleration (NVIDIA GPU orchestration).</li><li>
Implement LLMOps to monitor model performance, detect hallucination rates, and manage model versioning and drift.</li></ul>
4. Public Sector Advisory &amp; Governance<ul><li>
Collaborate with the customer&rsquo;s AI Center of Excellence (CoE) to establish automated guardrails for ethics, bias mitigation, and FedRAMP/IL5 compliance.</li><li>
Translate complex technical AI concepts into mission-value briefings for GS-level stakeholders and agency leadership.</li></ul>
We&rsquo;re excited about you if you have: (Minimum Qualifications):<ul><li>
Experience: 5+ years in Data Engineering, Machine Learning, or Software Engineering, with at least 2 years focused on Generative AI or Deep Learning.</li><li>
Technical Stack: Expertise in Python and deep learning frameworks (PyTorch, TensorFlow, Hugging Face).<ul><li>
Hands-on experience with Cloudera (CDP), Spark, or similar big data ecosystems.</li><li>
Proficiency in orchestration tools like LangChain, LlamaIndex, or Haystack.</li><li>
Experience developing visual data representations and dashboards (Django, React, or Angular)
</li><li>Experience using a compiled programming language, preferably one that runs on the JVM (Java, Scala, etc)</li></ul></li><li>
Data Expertise: Proven ability to build ETL/ELT pipelines and work with both SQL and NoSQL/Vector databases (e.g., Pinecone, Milvus, or PGVector).</li><li>
Public Sector Knowledge: Understanding of government security frameworks (NIST AI RMF, FedRAMP, SRGs, STIGs).</li><li>
Active Top Secret Security Clearance</li></ul>
You may also have: (Preferred Qualifications)<ul><li>
Experience fine-tuning of foundational models using techniques such as PEFT (Parameter-Efficient Fine-Tuning) and LoRA to adapt AI to domain-specific government nomenclature.</li></ul><ul><li>
Experience training of specialized models on proprietary datasets while ensuring strict adherence to data privacy and sensitivity labels.</li><li>
Experience installing and operating Cloudera Data Platform</li><li>
Experience installing and operating Kubernetes</li><li>
Experience in Air-Gapped deployments and managing AI workloads in disconnected environments.</li><li>
Advanced degree (MS or PhD) in Computer Science, Data Science, or a related field.</li><li>
CI or FSB Poly</li></ul>
This role is not eligible for immigration sponsorship
What you can expect from us:<ul><li>
Generous PTO Policy</li><li>
Support work life balance with Unplugged Days</li><li>
Flexible WFH Policy</li><li>
Mental &amp; Physical Wellness programs</li><li>
Phone and Internet Reimbursement program</li><li>
Access to Continued Career Development</li><li>
Comprehensive Benefits and Competitive Packages</li><li>
Paid Volunteer Time</li><li>
Employee Resource Groups</li></ul>
EEO/VEVRAA
#LI-MH2
#LI-Remote</div>

AI Solutions Architect

Makpar Corporation

<div><div><div>Who we are:</div><div></div><div> 
Makpar is a comprehensive professional and technical solutions provider for the Federal government. We combine functional and technical expertise in cloud engineering, data management, cybersecurity and emerging technologies to deliver mission success. We build the right IT solution for government clients by partnering with them to understand their WHAT, WHY, and HOW. Using our signature consulting methodology that we call &ldquo;The Makpar Way,&rdquo; we help agencies navigate the ongoing changes in the Federal technology landscape. We succeed where others fail because of our connected and engaged workforce are dedicated to delivering success for our clients and the American people. 
</div><div></div> 
<div>Our Mission: We solve complex problems for the Federal government to accelerate access to citizen services.</div><div></div><div> 
When it comes to excellence, we deliver. Learn more about our employer brand at makpar.com/careers.</div><div></div><div> 
Makpar has an exciting opportunity for a Senior Data Scientist. The Senior Data Scientist will support enterprise data and analytics initiatives. This role requires expertise in AI/ML development, Python, and advanced analytics to guide teams and deliver enterprise-level analytics solutions. requirements.
</div></div>
<div><div><h3 class="jobSectionHeader">Key Responsibilities:</h3><div><div><div>
<ul><li>Provide technical leadership on analytics and AI/ML solutions.</li>
<li>Develop and deploy machine learning models and predictive analytics.</li>
<li>Use Python, Anaconda, and Jupyter notebooks for modeling and prototyping.</li>
<li>Collaborate with Data Engineers to integrate models with data pipelines.</li>
<li>Support data governance activities (tagging, metadata management, sharing).</li>
<li>Develop RPA solutions to automate business processes.</li>
<li>Evaluate analytics products to ensure alignment with mission objectives.</li>
<li>Communicate findings through dashboards, visualizations, and technical reports.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader">Qualifications</h3><div><div><div>
<ul><li>Active Secret clearance (required).</li>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Mathematics, or related field.</li>
<li>7+ years of professional experience in data science and AI/ML.</li>
<li>Strong expertise in Python, Jupyter, and Anaconda.</li>
<li>Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).</li>
<li>Experience with RPA tools (UiPath, Automation Anywhere, or Python-based).</li>
<li>Familiarity with Databricks, Apache Spark, and SQL.</li>
<li>Excellent communication and stakeholder engagement skills.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader">Clearance Requirement</h3><div><div><div>
<ul><li>Active Secret clearance (required).</li>
</ul></div></div></div></div></div><div><div>Benefits:</div><div></div><div> 
At Makpar Corporation we understand that we all need to balance work and life &ndash; that is why we have a great benefits package, excellent training and career development opportunities, flexible work schedules along with a generous compensation package. At Makpar, we believe in keeping our employees happy, healthy and engaged. We pride ourselves in providing outstanding benefits, creating environments where employees are encouraged to be themselves, collaborate, and be inquisitive in order to achieve goals.</div><div></div><div> 
Start your career today and be a part of something meaningful!</div><div></div><div> 
Makpar is an Equal Opportunity Employer.</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Senior Data Scientist

Booz Allen Hamilton

<div>Agentic AI Engineer
The Opportunity: 
We are looking for a highly skilled Agentic AI Engineer to join our team, specializing in building autonomous, goal-oriented AI systems. You will play a crucial role in shifting our AI strategy from passive LLM chatbots to proactive, multi-agent orchestrations. In this role, you will utilize deep experience in agent orchestration frameworks, RAG, knowledge graphs, and fine-tuning Small Language Models (SLMs) for edge deployment. 
 
What You'll Work On:<ul><li>
Design and implement intelligent agent architectures that can reason, plan, and take actions using LangChain, LangGraph, and AutoGen.</li><li>
Develop and deploy multi-agent systems using Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols to facilitate communication, tool usage, and collaborative task solving.</li><li>
Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs (KG) to enhance reasoning accuracy and context retention.</li><li>
Fine-tune SLMs for specific domains and optimize them for edge device performance, including ONNX, GGML, or Ollama.</li><li>
Develop evaluation frameworks to test agent reliability, safety, and performance, moving from prototype to production, including ReAct loops and human-in-the-loop.</li></ul>
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
5+ years of experience in software development</li><li>
3+ years of experience with GenAI, LLMs, and agentic workflows</li><li>
3+ years of experience with LangChain, LangGraph, AutoGen, or LlamaIndex</li><li>
Experience with MCP for tool integration and A2A for agent-to-agent collaboration</li><li>
Experience with RAG architecture and KG, including Neo4j or NebulaGraph</li><li>
Experience fine-tuning LLMs or SLMs using Hugging Face, PEFT, or LoRA</li><li>
Knowledge of modern software design patterns, including microservice design or edge computing</li><li>
Ability to obtain a Secret clearance</li><li>
Bachelor&rsquo;s degree in a CS or AI field</li></ul>
Nice If You Have:<ul><li>
Experience deploying agentic systems in a production environment</li><li>
Experience deploying agents on edge devices such as Android or local models</li><li>
Experience integrating coding agents such as Cursor or Windsurf, into an efficient development pipeline with measured results</li><li>
Master&rsquo;s degree in a CS or AI field preferred; Doctorate degree in CS or Statistics a plus</li></ul>
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
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.
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 $99,000.00 to $225,000.00 (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.
Identity Statement
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.
Candidate AI Usage Policy
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 your 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 unless permission is explicitly provided.
Work Model 
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.<ul><li>
Remote: 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.</li><li>
Hybrid: 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.</li><li>
Onsite: 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.</li></ul>
Commitment to Non-Discrimination
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.</div>

Agentic AI Engineer

HiddenLayer

<div>Data Scientist

Remote [within the US]

ABOUT THE ROLE:

We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and LLM-powered systems that sit at the core of our security products &mdash; the pieces that make the difference between a tool that flags noise and one that helps defenders find what matters.

This is a hands-on role on a small, focused team. You'll have real ownership over the models and pipelines you build, close collaboration with engineering and product, and the runway to go deep on the hard problems.

WHO WE ARE:

HiddenLayer protects the world's most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely.

Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.

WHAT YOU'LL DO:

Security is a domain where the adversary is adaptive, the signal is rare, and the cost of a miss is real. That makes for interesting modeling problems &mdash; ones where off-the-shelf approaches rarely carry you the whole way, and where careful research, solid experimentation, and production rigor each matter for our success.

Your work will span a few areas:
<ul>
<li>Model development and research. Building classifiers, detectors, and scoring models on messy, high-stakes security data. Designing experiments, evaluating trade-offs, and iterating on architectures &mdash; not just hyperparameters.</li>
<li>LLM agent systems. Shaping the prompts, context, tool-use patterns, and supporting content that drive our LLM agents.</li>
<li>Production delivery. Shipping models behind real traffic, monitoring them, and improving them over time.</li>
<li>Evaluation and iteration. Building the evaluation harnesses and feedback loops that let us know whether a change is actually an improvement &mdash; often the hardest part of the work. Our models only improve for customers when our evaluations highlight what really matters.</li>
</ul>
WHO YOU ARE:

Production experience is the single most important thing. We'd like to see around 3&ndash;4+ years of experience delivering models into production environments where they've had to perform, be maintained, and evolve. That's the background that tends to set people up for success here.

Beyond that:
<ul>
<li>Depth in ML fundamentals. You understand model architectures and can reason about why a given approach is or isn't a good fit for a problem. You've moved well past treating models as black boxes and past tuning that stops at sample weights and decision thresholds.</li>
<li>Willingness to experiment. You're comfortable trying genuinely novel approaches when the standard playbook runs out, and you can tell the difference between a promising result and a fragile one.</li>
<li>Strong engineering instincts. Your code is something teammates can read, extend, and trust in production. You think about reproducibility, testing, and handoff &mdash; not just whether something runs on your laptop.</li>
<li>Experience with LLMs in practice. You've worked with LLM-based systems in some real capacity &mdash; prompting, context design, tool use, evaluation, or fine-tuning &mdash; and have opinions shaped by actually shipping things.</li>
<li>Comfort with ambiguity. Security problems rarely come with clean labels or clean data. You're able to frame problems, scope them, and make progress without a fully paved path. You'll help highlight ambiguity and reason about how to make progress even when humans don't all agree on one single answer.</li>
<li>An advanced degree (MS or PhD) in a technical discipline. This doesn't have to be in data science or ML specifically &mdash; strong backgrounds in CS, statistics, physics, math, engineering, and related fields are all welcome. Your on-the-job experience is what matters the most.</li>
</ul>
We want to be upfront about research and publications: while we're supportive of engagement with the broader research community, our team's focus is firmly on shipping. Publishing papers and attending conferences can absolutely happen, but they aren't the center of gravity of the role. If your primary goal is academic output, this probably isn't the best fit &mdash; and we'd rather say that clearly than have it be a surprise.

WHY HIDDENLAYER?

We're moving at (what feels like) the speed of light. HiddenLayer is a venture-backed company and recently closed a $50M funding round led by M12, Microsoft's Venture Fund, and Moore Strategic Ventures.

Attracting and retaining the very best people is our #1 priority. That's why we offer our team best-in-class benefits, including:
<ul>
<li>Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses.</li>
<li>Comprehensive Health &amp; Wellness Benefits: Better than your average startup healthcare benefits. With five options to choose from, of which are fully subsidized by HiddenLayer, we offer a variety of options to fit each person's needs. We also offer vision, dental, and 401k offerings.</li>
<li>Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays.</li>
<li>Commitment to Learning and Development: We support personal growth and education through a dedicated L&amp;D fund that can be used for training, conferences, certifications and industry events.</li>
<li>Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer.</li>
</ul>
To learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter.

HiddenLayer is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.</div>

Data Scientist

hackajob

<div>
 
 
 hackajob
 
 is collaborating with
 
 IdeaCrew
 
 to connect them with exceptional professionals for this role.
 
 
 
 Junior Data Engineer
 
 
 Job Type: Full-Time
 
 
 Salary: $100,000 to $120,000 / year
 
 
 Full-Time
 
 
 <ul>
 <li>
 Washington, DC / Remote
 
 
 </li>
 </ul>
 IdeaCrew is currently seeking junior Data Engineers to join our innovative, hard-working team as we disrupt healthcare technology.
 
 
 As a member of our Analytics team, you will work with a modern data stack, build scalable data pipelines with python, and support external and internal reporting needs.
 
 
 A Junior Data Engineer for IdeaCrew will
 
 
 <ul>
 <li>
 Build and scale data pipelines in production environments using a modern data stack.
 </li>
 <li>
 Carry out complex analysis utilizing PostgresSQL.
 </li>
 <li>
 Implement data modeling best practices to support analytics and reporting needs.
 </li>
 <li>
 Design technical architectures and infrastructure components.
 </li>
 <li>
 Create automated data and code quality checks.
 </li>
 <li>
 Implement and enforce data governance policies and best practices to ensure data security and compliance.
 </li>
 <li>
 Work closely with cross-functional teams and stakeholders, including business process owners, analysts, and software engineers, to understand requirements and deliver solutions.
 </li>
 <li>
 Develop and maintain technical and process documentation such as data dictionaries, ERDs, data governance policies, etc.
 
 
 </li>
 </ul>
 
 Desired Skills &amp; Expertise
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field; equivalent professional experience will also be considered.
 </li>
 <li>
 3+ years of hands-on experience with Python for data processing in a production environment.
 </li>
 <li>
 2+ years of experience with PostgreSQL.
 </li>
 <li>
 Familiarity with NoSQL databases such as MongoDB or CouchDB is preferred.
 </li>
 <li>
 Strong problem-solving skills and ability to work both independently and in collaborative, cross-functional teams.
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 <li>
 Strong understanding of the fundamentals of ETL processes, data pipelines, and data modeling concepts.
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 <li>
 Experience with cloud platforms (e.g., AWS, GCP, Azure) in a production environment.
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 <li>
 Experience with the training and evaluation of machine learning models in consultation with stakeholders, SMEs, and other data scientists is a plus
 </li>
 </ul>
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Junior Data Engineer

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