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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:
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As the Machine Learning Engineer, you will drive discussions and champion the implementation of multiple complex projects.
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You will help evolve the company’s engineering processes, tools and systems to enhance scalability, productivity and team unity.
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Source, interview and mentor talent while fostering a culture of excellence, agility and humility.
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Engage and collaborate with customers to effectively address complex challenges.
Skillset:
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At least 4 years of software engineering experience.
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Previous involvement with an early-stage company, actively contributing to product development from inception.
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Proven track record of delivering top-notch products at scale.
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Openness to actively engage with and comprehend customer requirements.
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Proficiency in transforming business and product ideas into resilient engineering solutions.
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Enthusiasm for continuous growth and mastery in your field while tackling customer challenges.
Benefits:
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Salary: $170k - $250k DOE.
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Medical, dental and vision insurance.
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Equity.
Interested? Apply now in the link below or email your resume directly to angelo@alldus.com for consideration.
The Support Service Specialist should have a minimum of five (5) years experience with Microsoft Logic Application suite in an Azure environment:
- Understanding of cloud technologies (maintenance and administration
- Azure Logic Application
- Azure functions
- Virtual Machines
- API Management
- API Data gateway
- Complete knowledge in XSLT translation
- Working knowledge of Javascript
- Microsoft Logic Applications flow development/analysis
- Understanding of custom Services, Adapters, and Protocols
- Data file transfer types (FTP, FTPS, SFTP, HTTPS, AS2)
- Azure cloud operation and administration
- Coding development lifecycle methodologies
- Virtualized servers and hosted server architectures.
- Security standards (PGP/GPG, SSL certificates, SSH, cloud-based secrets)
- Relational database management systems (e.g., MSSQL, Oracle, DB2)
- System and port architecture
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:
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As a Senior Machine Learning Engineer, you will drive the lifecycle of ML projects, overseeing from inception to deployment.
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You will be responsible to strengthen the reliability and robustness of our AI systems and LLMs.
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Partner with cross-functional teams to foster innovation and deliver scalable solutions.
Skillset:
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4+ years of hands-on experience deploying ML models in production environments.
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Proficiency in ML technologies including Python, PyTorch, Huggingface transformers, Numpy, Scikit-learn, and Pandas.
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Expertise in deep learning methodologies for unstructured data analysis.
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Experience in utilizing platforms like Google Vertex or AWS SageMaker for model training and deployment.
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Effective collaboration skills demonstrated through clear verbal and written communication.
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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:
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As a Senior Applied Scientist / Data Scientist, you will create, develop and deploy machine learning models, including LLMs, to elevate the organization’s tools.
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You will explore pioneering domains like generative AI, predictive analytics, and anomaly detection through research initiatives.
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Work closely with engineering and product teams to embed AI/ML technologies into their solutions.
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Extract actionable insights and refine model accuracy by analyzing extensive datasets.
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Keep abreast of the latest developments in ML, AI, and cybersecurity to uphold the company’s position as an innovative leader.
Skillset:
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PhD or Master’s degree in Computer Science, Machine Learning, Statistics or similar.
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Minimum of five years of experience in Natural Language Processing (NLP) and handling substantial volumes of natural language data.
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Proficiency in programming languages including Python and SQL, alongside ML frameworks like TensorFlow and PyTorch.
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Sound comprehension of Machine Learning (ML) algorithms, deep learning methodologies, and their relevance in cybersecurity contexts.
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Hands-on experience with cloud computing platforms such as AWS, Azure, and GCP, coupled with proficiency in big data technologies.
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Familiarity with SQL and NoSQL databases, in addition to a solid grasp of data engineering principles.
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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:
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As a Principal ML Engineer, you will craft and implement scalable machine learning models leveraging MLE and ML OPs frameworks.
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You will design interactive web applications and dashboards for effective communication of data-driven insights to stakeholders.
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Foster collaboration with cross-functional teams, including software developers and business stakeholders, to ensure solutions align with organizational objectives.
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Offer expert consulting services to facilitate data-driven decision-making processes.
Qualifications:
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Deep expertise in data engineering, data analysis and machine learning.
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Proficient in Python, SQL, and cloud-based data processing tools.
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Practical experience with Data IKU, MLE, MLOps and web application development frameworks.
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Well-versed in Google Cloud Platform (GCP).
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Outstanding problem-solving skills, adept at translating business needs into technical solutions.
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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!