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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.

Our client is an exhilarating Silicon Valley startup poised to revolutionize AI-driven products. They are hiring a Senior Machine Learning Engineer to lead the charge in developing the company's groundbreaking AI offerings.


Responsibilities: 

• As a Senior Machine Learning Engineer, you will drive the lifecycle of ML projects, overseeing from inception to deployment.

• You will be responsible to strengthen the reliability and robustness of our AI systems and LLMs.

• Partner with cross-functional teams to foster innovation and deliver scalable solutions.

Skillset: 

• 4+ years of hands-on experience deploying ML models in production environments.

• Proficiency in ML technologies including Python, PyTorch, Huggingface transformers, Numpy, Scikit-learn, and Pandas.

• Expertise in deep learning methodologies for unstructured data analysis.

• Experience in utilizing platforms like Google Vertex or AWS SageMaker for model training and deployment.

• Effective collaboration skills demonstrated through clear verbal and written communication.

• Ability to flourish in fast-paced, unstructured environments with a strong sense of ownership and self-sufficiency.

Salary: $150k - $200k DOE



Interested? Apply now in the link below or email your resume to steven@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 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. 

ServiceNow Engineer/Product Owner

Full Time-Hybrid in Dallas, TX

Salary: $120k-150k depending on experience + Benefits & Bonus

Overview:

Our client are looking for an experienced Product Owner/Senior ServiceNow Engineer to work hands on technically in the ServiceNow platform with projects focused on advancements in the CMDB.

What will you be doing:

• Collaborating closely with a team of professionals within the ServiceNow Development team & the ServiceNow Architect
• Utilize your knowledge & work projects broadly within ITSM & building out/enhancing the CMDB
• Assist in gathering requirements and designing ServiceNow solutions for internal stakeholders while focusing mainly on hands on technical work
• Work on implementations from start to finish, as well as integrations & modernizing the existing platform
• Be hands on technically working to ServiceNow best practices for out-of-the-box solutions, as well as with custom solutions/apps as needed for specific requirements

Experience:

• Strong ServiceNow technical development background
• 3+ years in ServiceNow experience minimum
• Experience managing/leading a team
• Expertise in CMDB
• ServiceNow certifications desirable - CSA, CAD

For more information about this position, get in contact today!