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Our client is an exciting AI-driven startup that is embarking on a groundbreaking mission to transform cloud security management practices for security and DevOps teams. They are hiring a Senior Data Engineer to join their team in New York and lead the architecture and development of their data engineering initiatives.


Responsibilities: 

• As the Senior Data Engineer, you will be responsible for crafting and constructing additional ETL pipelines to broaden core datasets.

• You will imrpove the ontology supporting the company’s knowledge graph.

• Utilize AI/ML methodologies to analyze exclusive infrastructure-as-code datasets.

• Extract actionable insights to drive product decisions and strengthen their deterministic AI remediation engine.

• Create reporting solutions to clarify business narratives for their clients

Skillset:

• Minimum of five years of experience within data engineering and machine learning.

• Proficient in applying algorithms and developing them, covering probabilistic analysis, machine learning and knowledge graphs.

• Skilled in creating MLOps pipelines, employing tools like Apache Spark or Databricks.

• Ability to extract insights and convey narratives from data.

• Knowledgeable about BI tools for visualizing and reporting data.

• Advanced expertise in Python for manipulating data, with familiarity in libraries such as Pandas.

• Competent in SQL for querying data, connecting related datasets, and executing basic transformations and aggregation operations.

• Experience in designing and analyzing experiments with tools like Jupyter notebooks.

Salary: Circa. $150k


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

Our client who are revolutionizing the energy sector are hiring an AI Solutions Architect to join their team in Indianapolis. The successful candidate will play a critical role in configuring and deploying state-of-the-art AI solutions tailored to address the distinctive requirements of the company's key customers.


Responsibilities:

• As the AI Solutions Architect, you will engage with customers post-sales to design and execute full-stack AI solutions, ensuring alignment with functional and performance criteria.

• You will lead architecture and engineering discussions to showcase the capabilities of the Platform and its integration with current systems.

• Develop scalable and reusable reference architectures to streamline solution delivery.

• Generate specifications, documentation and technical procedures, enriching user support materials.

• Identify and address technical risks to guarantee project success.

• Support production AI applications by monitoring and executing processes as required.

• Collaborate with engineering and product teams to incorporate customer feature requests into core product offerings.

Skillset:

• Bachelor's degree in engineering, computer science or similar.

• At least five years experience working as a Solution Architect in system/data integration, development or enterprise/cloud software implementation.

• Expert knowledge of enterprise architecture and application integration.

• Proficient in Big Data, Distributed Systems, and Cloud Architectures (AWS, Azure, GCP).

• Skilled in Python, JavaScript and/or Java programming languages.

• Hands-on experience with relational and NoSQL databases.

• Advanced proficiency in Postgres and Cassandra is a bonus.

• Familiarity with Hadoop, Spark, and Cloud databases (Snowflake, BigQuery, Redshift, Databricks) and stream processing frameworks (Kafka, Kinesis).

• Understanding of container-based deployments using Kubernetes or OpenShift.

• Experience in designing and managing DataOps and MLOps in Production environments.

Salary: $150,000 - $180,000


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

Our client in the Financial Services sector is revolutionizing fixed income trading with innovative, user-friendly automated solutions. They are hiring a Software Engineer to join their Data and AI team in New York to collaborate on the development of cutting-edge solutions. 



Responsibilities: 

• As the Software Engineer, you will be responsible to design, develop and maintain robust, high-performance software.

• You will work with cross-functional teams to address complex problems and improve trading infrastructure.

• Engage in the entire software development lifecycle, from concept to deployment.

• Ensure software applications achieve maximum speed, scalability, and security.

• Provide mentorship to junior team members.

Skillset:

• Bachelor's degree in Computer Science, Engineering or equivalent.

• Excellent problem-solving abilities and attention to detail.

• Strong experience in Python programming.

• Solid understanding of algorithms, data structures, and software design principles.

• Hands-on experience with distributed systems and Docker.

• Knowledgeable about relational databases, NoSQL databases, and various data processing techniques.

• Skilled in Git version control and familiarity with CI/CD best practices.

• Understanding of Google Cloud Platform, low-latency computing, and machine learning methodologies.

• Experience with large-scale data processing, Kubernetes, distributed computing technologies (e.g., Apache Spark, Dask), and distributed streaming platforms (e.g., Apache Kafka).

Benefits:

• Salary: $175k - $250k DOE

• Fully paid medical, dental, and vision coverage.

• Remote and flexible work arrangements.

If this sounds like the role for you, apply now in the link below or email your CV directly to angelo@alldus.com for consideration.

Our client who are a leading innovator in deepfake detection technology are hiring a Senior Data Engineer to join their team in New York. The successful candidate will be responsible to streamline services and closely coordinate with the AI Audio division to achieve seamless integration of datasets.



Responsibilities:

• As a Data Engineer, you will spearhead the development of top-tier audio datasets to significantly elevate the capabilities of our audio team.

• Concentrate on broadening multi-language functionalities to keep our AI Audio division at the forefront of innovative solutions.

• Streamline services by optimizing processes and work in close collaboration with the AI Audio division to seamlessly integrate datasets.

Skillset:

• Minimum of 3 years of pertinent professional experience.

• Proven expertise in effectively managing audio data.

• Proficiency in machine learning, deep learning, or data science.

• Strong knowledge of Python, with a desirable familiarity with numpy, pandas, JAX, and PyTorch.

• Language skills in Spanish, Portuguese, Mandarin, or Cantonese are considered valuable assets.

Salary: $130K 



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

Our client is a prominent financial services organization committed to fulfilling customers' financial needs and supporting their success. The company offers a diverse range of banking, investment, and mortgage products and services catering to the financial well-being of thousands of customers worldwide. 


They are hiring a Head of Data Platform to assume a crucial role in shaping the data landscape within their Investment Banking division. The successful candidate will be responsible for supervising the development of data architecture, guaranteeing its alignment with business goals and the firm's strategic objectives.



Responsibilities:

• As the Head of Data Platform, you will be responsible to define and execute a comprehensive strategy to identify and leverage diverse data sources across the organization.

• You will oversee the development of data architecture, ensuring it aligns with business goals and strategic objectives.

• Work collaboratively with product owners and data managers to clearly outline and communicate data requirements and solutions.

• Integrate data governance standards into solution designs to uphold data integrity, compliance and operational efficiency.

• Act as a liaison between the data management team and senior leadership, offering valuable insights to key decision-makers.

• Provide thought leadership and guidance on best practices in the realms of data management and technology.

Skillset:

• At least eight years of experience in Data Management, Business Research, Analytics, or Project Management.

• Minimum of 4 years of Management experience.

• Expertise in investment banking, financial markets and technology.

• Proven track record of leading data management or technology teams within a banking environment.

• Extensive knowledge of data architecture, governance, and compliance regulations in the finance sector.

• Ability to comprehend and leverage new technologies to enhance business operations.

• Excellent people skills, showcasing the capability to collaborate, negotiate and influence individuals at all levels of the organization.

Salary: $200k - $400k DOE


If this sounds like the role for you, apply now in the link below or email your resume directly to angelo@alldus.com.