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Analytica LLC fully complies with all local and state regulations regarding the display of salary ranges. If required, the URL below is specifically for potential hires. The salary offered for a position is determined based on various factors, including applicants' skills, job responsibilities, relevant experience, degrees, certifications, market considerations, and project financials. Our compensation packages include not only base salary but also a range of incentive bonus programs to reward outstanding performance and contributions.

Follow this link to obtain salary ranges by positions: Pay Transparency - Analytica

Review our open positions and apply to the positions that match your qualifications: Search All Openings

Hiring Process at Analytica

At Analytica, we follow a structured hiring process to ensure we select the best candidates for our team. Here is an overview of our hiring process:

Recruiter's Call: The process begins with a recruiter reaching out to potential candidates. During this initial call, the recruiter will provide an overview of the position and gather preliminary information about the candidate's background and experience.

Criteria Assessment: Criteria Assessment is a quick, online test that helps the hiring team understand the candidate's skills, problem-solving ability, and work style to ensure the best fit for the role. It takes about 20 minutes and can be completed anytime on any device, phone or computer—no special preparation needed.

Rounds of Interviews: Based on the initial call and the hiring manager's approval, the recruiter will establish direct interviews with the team. There may be multiple rounds of interviews that is designed to assess the candidate's qualifications, skills, and fit for the role.

Final Decision: After the interviews, the hiring team will review the candidate's performance and make a final decision. If the team decides to present an offer, the recruiter will directly call the candidate to discuss details such as salary, benefits, start date, etc. Others will also be notified through email or a call.

Use of AI in the Hiring Process

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

Application Review: AI tools may help identify skills and experiences relevant to the role.
Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

Impersonation Scams

We would like to bring to your attention the increasing number of impersonation scams targeting organizations worldwide. These scams involve individuals pretending to be someone from the hiring team such as HR manager or recruiters, to deceive you into providing sensitive information or making unauthorized transactions.

To protect yourself, please follow these guidelines:

Verify the Sender: Always double-check the sender's email address and contact details. If something seems off, do not hesitate to reach out to the person directly using a known and trusted communication method.

Be Cautious with Requests for Sensitive Information: Be wary of any unexpected requests for sensitive information, such as passwords, financial details, or personal data. Legitimate organizations will never ask for such information via email.

Look for Red Flags: Pay attention to any unusual language, spelling mistakes, or urgent requests that pressure you to act quickly. These are common signs of a scam.

Report Suspicious Activity: If you receive a suspicious email or message, report it immediately to our IT department. Do not respond or click on any links or attachments.

Stay Informed: Keep yourself updated on the latest scam tactics and best practices for cybersecurity. Regularly attend training sessions and read our security bulletins.

When receiving email communication from Analytica, please ensure that the email domain is applytojob.com or analytica.net to verify its authenticity.

By staying vigilant and following these guidelines, we can help protect ourselves from impersonation scams.

AI-ML Engineer (Azure)

Bethesda, MD

Full Time

Experienced

Analytica is seeking a mid-Level AI-ML Engineer to join our growing data and AI team and help design, build, and deploy production-grade AI solutions that make a real-world impact. In this role, you will work hands-on with modern Microsoft Azure services and AI/ML technologies to turn complex data into actionable intelligence. You’ll collaborate closely with data engineers, analysts, and business stakeholders to deliver scalable, secure, and responsible AI solutions that move from experimentation into daily operations.

This is an excellent opportunity for an engineer who enjoys working across the full AI lifecycle using a reusable software development approach across rom data preparation and model development to using software engineering principles to deployment, monitoring, and continuous improvement—while growing their expertise in cloud-native AI and MLOps practices.

Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.  

Key Responsibilities: 

Build, maintain, and optimize Azure-based data pipelines and workflows using Azure Data Factory, ADLS Gen2, Synapse Analytics, Azure SQL, Python, and SQL.

Support batch and near–real-time data ingestion, transformation, enrichment, and aggregation to deliver analytics- and reporting-ready datasets.

Implement data quality checks, schema management, and validation to ensure reliable, trusted, and well-documented data.

Build secure data pipelines, integrate structured/unstructured data, and support NLP/ML workloads.

Configure, monitor, and enhance enterprise AI capabilities across Azure and other approved platforms.

Ensure compliance with Federal architecture standards, EA guidelines, and security controls.

Produce architecture artifacts, test plans, security documentation, and operational runbooks per sprint requirements.

Contribute to CI/CD pipelines, monitoring, troubleshooting, and performance tuning to ensure reliable data operations.

Work within Agile teams, collaborating closely with senior engineers, analysts, and stakeholders to deliver well-defined data requirements.

Required Experience & Qualifications:

Us Citizen with the ability to secure public trust clearance

3+ years of hands-on experience developing and deploying AI/ML solutions in production environments.

Strong proficiency in Python, including data analysis and ML libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, TensorFlow).

Solid understanding of machine learning concepts, model selection, training, validation, and evaluation techniques.

Experience working with Microsoft Azure services for data and AI workloads, such as

Azure Machine Learning

Azure Data Lake Storage (ADLS Gen2)

Azure Synapse Analytics (SQL and/or Spark)

Azure Data Factory

Working knowledge of MLOps concepts, including CI/CD pipelines, version control, and model lifecycle management.

Experience collaborating in Agile development environments and using modern DevOps tools (e.g., Azure DevOps, GitHub).

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field (or equivalent practical experience).

Desired / Preferred Experience:

Microsoft Certified: Azure AI Engineer Associate

Experience with Copilot Studio or AI agent development, including orchestration and integration with APIs and data sources.

Familiarity with feature stores, vector databases, or retrieval-augmented generation (RAG) patterns.

Exposure to event-driven or streaming architectures (e.g., Azure Event Hubs).

Knowledge of responsible AI practices, including fairness, explainability, model governance, and security considerations.

Experience working in regulated or mission-driven environments.

Azure certifications related to AI, data engineering, or cloud architecture.

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

Application Review: AI tools may help identify skills and experiences relevant to the role.
Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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