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An exciting AI-driven FinTech company are hiring a Machine Learning Engineer to lead complex project discussions and implementation, enhance engineering processes for scalability and collaborate with customers to tackle challenges effectively.


Responsibilities:

• As the Machine Learning Engineer, you will drive discussions and champion the implementation of multiple complex projects.

• You will help evolve the company’s engineering processes, tools and systems to enhance scalability, productivity and team unity.

• Source, interview and mentor talent while fostering a culture of excellence, agility and humility.

• Engage and collaborate with customers to effectively address complex challenges.

Skillset:

• At least 4 years of software engineering experience.

• Previous involvement with an early-stage company, actively contributing to product development from inception.

• Proven track record of delivering top-notch products at scale.

• Openness to actively engage with and comprehend customer requirements.

• Proficiency in transforming business and product ideas into resilient engineering solutions.

• Enthusiasm for continuous growth and mastery in your field while tackling customer challenges.

Benefits:

• Salary: $170k - $250k DOE.

• Medical, dental and vision insurance.

• Equity.

Interested? Apply now in the link below or email your resume directly to angelo@alldus.com for consideration.

As the ServiceNow CMDB Technical Product Owner, you will play a pivotal role in the designing, configuring, and implementation of the ServiceNow Common Services Data Model (CMDB) solutions to meet the clients needs. This role requires a deep understanding of IT asset management, configuration management, and ServiceNow platform capabilities. The CMDB Analyst is responsible for ensuring that the configuration management of ServiceNow Application and Service portfolios are standardized and sustainable. We are looking for a ServiceNow CMDB expert to serve as a subject matter expert and trusted advisor providing ServiceNow support and guidance to leadership, business partners and internal teams.

This temporary position is a benefits-eligible full-time position.
 

• Free medical benefits, eligible day one
• Texas Retirement System contribution
• Hybrid work schedul

Experience And Education
 

• 5-10 years of ServiceNow experience required.
• ServiceNow Administrator certification required.
• ServiceNow CMDB certifications preferred but not required.
   

Job Duties
 

• CMDB Design and Architecture: Design and Implement ServiceNow CMDB solutions that align with service owners' business goals and objectives. Define configuration item (CI) classes, relationships, and attributes to ensure accurate representation of the ITSM landscape.
• Configuration Item (CI) Discovery: Work with service owners to identify and classify CIs correctly. Develop approaches for CI identification, including automated discovery and manual data entry processes.
• Data Integration: Integrate CMDB with other ITSM modules and third-party systems to ensure real-time data synchronization and consistency.
• Relationship Mapping: Create and maintain relationship maps between CIs to provide insights into dependencies and impacts on IT services.
• Governance and Data Quality: Maintain data governance practices to maintain data accuracy, integrity, and completeness within the CMDB.
• Change Management: Develop and enforce change management processes for the CMDB to ensure that updates and changes are tracked and approved.
• Service owner Collaboration: Collaborate with service owners to understand their business processes, requirements, and challenges. Provide expert advice and recommendations to improve their CMDB implementations.
• Documentation: Create comprehensive documentation of CMDB designs, configurations, and processes for service owner reference.
• Training and Support: Provide training and support to service owners' teams to ensure effective CMDB utilization and ongoing maintenance.
• Hybrid work environment, with 1-2 days on-site per week. This is a 1-year assignment with opportunity for transition to a permanent role based on performance and business needs.

Our client is a premier advanced analytics consulting firm and they are hiring a Principal Machine Learning Engineer. Renowned as a trusted ally to Fortune 500 enterprises, the company excel in providing impactful solutions in the realms of Data Science, Machine Learning and AI.


Responsibilities:

• As a Principal ML Engineer, you will craft and implement scalable machine learning models leveraging MLE and ML OPs frameworks.

• You will design interactive web applications and dashboards for effective communication of data-driven insights to stakeholders.

• Foster collaboration with cross-functional teams, including software developers and business stakeholders, to ensure solutions align with organizational objectives.

• Offer expert consulting services to facilitate data-driven decision-making processes.

Qualifications:

• Deep expertise in data engineering, data analysis and machine learning.

• Proficient in Python, SQL, and cloud-based data processing tools.

• Practical experience with Data IKU, MLE, MLOps and web application development frameworks.

• Well-versed in Google Cloud Platform (GCP).

• Outstanding problem-solving skills, adept at translating business needs into technical solutions.

• Exceptional communication and presentation abilities to articulate insights to stakeholders effectively.

Salary: Up to $200k


Interested? Apply now in the link below or email your resume directly to michaels@alldus.com for consideration. 

Our client leads the charge in digital transformation, enabling organizations to enhance their efficiency. They are hiring a Senior Applied Scientist / Data Scientist to join their team, playing a crucial role in driving their mission forward by harnessing data-driven insights for innovation and informed decision-making. 


Responsibilities:

• As a Senior Applied Scientist / Data Scientist, you will create, develop and deploy machine learning models, including LLMs, to elevate the organization’s tools.

• You will explore pioneering domains like generative AI, predictive analytics, and anomaly detection through research initiatives.

• Work closely with engineering and product teams to embed AI/ML technologies into their solutions.

• Extract actionable insights and refine model accuracy by analyzing extensive datasets.

• Keep abreast of the latest developments in ML, AI, and cybersecurity to uphold the company’s position as an innovative leader.

Skillset:

• PhD  or Master’s degree in Computer Science, Machine Learning, Statistics or similar.

• Minimum of five years of experience in Natural Language Processing (NLP) and handling substantial volumes of natural language data.

• Proficiency in programming languages including Python and SQL, alongside ML frameworks like TensorFlow and PyTorch.

• Sound comprehension of Machine Learning (ML) algorithms, deep learning methodologies, and their relevance in cybersecurity contexts.

• Hands-on experience with cloud computing platforms such as AWS, Azure, and GCP, coupled with proficiency in big data technologies.

• Familiarity with SQL and NoSQL databases, in addition to a solid grasp of data engineering principles.

• Expertise in deploying scalable ML models into production environments for seamless integration and operational efficiency.

Salary: $140k - $165k 


Interested? Apply now in the link below or email your resume directly to angelo@alldus.com for consideration. 

Our client, positioned at the forefront of generative artificial intelligence, is spearheading the transformation of the government sector. They are hiring a Generative AI Researcher/Developer to spearhead their initiatives in harnessing generative AI and large language models (LLMs) to drive revolutionary solutions within government relations.


Responsibilities:

• As a Generative AI Researcher/Developer, you will perform thorough research on advancements in generative AI and LLMs, pinpointing opportunities for integration.

• You will be responsible to create and deploy generative AI models and algorithms to augment platform functionalities.

• Collaborate across functions to convert research discoveries into scalable solutions.

• Fine-tune AI-driven systems to ensure optimal performance, reliability and security.

• Remain abreast of emerging trends in generative AI to enhance platform development.

Skillset:

• Master's or Ph.D. degree in Computer Science, AI or similar.

• Demonstrated track record in the development and implementation of generative AI models and algorithms.

• Proficiency in programming languages such as Python, as well as frameworks like TensorFlow and PyTorch.

• Sound understanding of NLP, machine learning and deep learning methodologies.

• Familiarity with OpenAI/AzureAI APIs, Vector Databases, and frameworks such as LangChain, LangSmith, and Llama Index.

• Knowledge of government processes and regulations is advantageous.

• Must be a U.S. citizen with the capability to pass Federal Background Check and Identity Verification.

Benefits:

• Competitive salary with stock options.

• Health insurance for you and your family.

Interested? Apply now in the link below or email your resume directly to matthew@alldus.com for consideration.