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We are seeking an experienced Data Science Engineer specializing in computer vision to join our innovative team. The ideal candidate will have a strong background in developing and implementing advanced computer vision solutions, with particular expertise in number plate recognition, face recognition, YOLO object detection, and NVIDIA DeepStream.
- Design, develop, and optimize computer vision algorithms for real-time video analytics
- Implement and fine-tune deep learning models for object detection, face recognition, and number plate recognition
- Utilize YOLO (You Only Look Once) architecture for efficient object detection in video streams
- Leverage NVIDIA DeepStream SDK to build and deploy AI-powered video analytics applications
- Collaborate with cross-functional teams to integrate computer vision solutions into existing systems
- Conduct performance analysis and optimization of computer vision models
- Stay current with the latest advancements in computer vision and deep learning technologies
- Master's or Ph.D. in Computer Science, Data Science, or related field
- 3+ years of experience in computer vision and deep learning
- Proven experience with number plate recognition and face recognition systems
- Strong proficiency in YOLO object detection framework
- Hands-on experience with NVIDIA DeepStream SDK
- Expertise in Python and relevant computer vision libraries (OpenCV, TensorFlow, PyTorch)
- Experience with GPU acceleration and optimization techniques
- Solid understanding of machine learning principles and statistical analysis
- Excellent problem-solving skills and attention to detail
- Strong communication skills and ability to work in a collaborative environment
- Experience with edge computing and embedded systems for computer vision
- Familiarity with video compression techniques and streaming protocols
- Knowledge of privacy-preserving machine learning techniques
- Experience with cloud-based deployment of computer vision models
- Contributions to open-source computer vision projects
We are seeking a skilled Web Developer to design, build, and maintain websites for our company. The ideal candidate will be responsible for the overall appearance, functionality, and technical aspects of websites, ensuring they meet user expectations and business requirements
- Design, build, and maintain websites using standard HTML/CSS practices and other relevant coding languages.
- Write well-designed, efficient, and testable code using best software development practices.
- Create website layouts and user interfaces that provide optimal user experience.
- Integrate data from various back-end services and databases.
- Implement responsive design for mobile devices.
- Collaborate with web designers and other team members to produce the website.
- Optimize websites for maximum speed and scalability.
- Ensure cross-browser compatibility and debug any issues.
- Conduct website testing and quality assurance.
- Stay updated with emerging technologies and industry trends.
- Perform regular website updates and maintenance.
- Implement security and data protection measures.
- Create and maintain software documentation.
- Collaborate with stakeholders to gather requirements and determine project scopes.
- Proven experience as a Web Developer or in a similar role.
- Proficiency in HTML, CSS, JavaScript, and at least one server-side programming language (e.g., PHP, Python, Java).
- Familiarity with front-end frameworks (e.g., React, Angular, Vue.js).
- Experience with responsive and adaptive design.
- Understanding of server-side CSS preprocessors (e.g., SASS, LESS).
- Knowledge of code versioning tools (e.g., Git).
- Familiarity with database technology (e.g., MySQL, MongoDB).
- Understanding of web standards and best practices.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork skills.
- Bachelor's degree in Computer Science, Web Development, or a related field (or equivalent experience).
- Experience with content management systems (e.g., WordPress, Drupal).
- Knowledge of SEO principles.
- Familiarity with UI/UX design principles.
- Experience with e-commerce platforms.
- Understanding of web security and performance optimization techniques.
As a machine learning engineer, a large portion of your time and energy will be focused on a cross-functional team building scientific models for the modern era. The organizations that you collaborate with will range from high tech, global life sciences companies to leading research institutions. You will be a vital part of a world-class team that combines the product design and engineering expertise of the world’s top software companies with the scientific expertise of the world’s top research institutions. You’ll be providing technical feasibility assessments to the Product Manager and Designer to ensure that we can build what we say we’re going to build. Machine Learning Engineers at Attinad Technologies work on a variety of problems, connecting our customers’ desired outcomes to concrete deliverables. Every project is different, from reinforcement learning to computer vision, and you’ll experience a breadth of industries. Our teams are highly collaborative, and you’ll work closely with customers, data and software engineers, and product managers. We are highly collaborative, oriented towards building and learning, and keenly aware of the responsibility of helping our customers deploy software products for real end users. This opening is for Machine Learning Engineers of all levels, and our interview process will evaluate your background and experience to assess your current level and enable you to be successful in your role here.
You will have a high degree of autonomy as you work with a nimble, growing team, but some core responsibilities may look like the following.
- Engage with our customers to understand the challenges they are facing, and work with them to produce a strategy and execution plan for their AI goals.
- Define the work that you and other members of your team will execute on, and be able to break down and organize the work appropriately.
- Build and design machine learning pipelines, both consolidating existing databases and building new databases using tools like Python, AWS, SQL, MLFlow, PyTorch, Spark, and more.
- Create design documents that lead to MVPs, and continue iterating on the MVPs into fully developed products.
- Choose machine learning models and evaluate performance in production.
- Expose your machine learning predictions through APIs and Applications developed with other team members.
- Share your knowledge with other team members.
- Learn about new areas of machine learning and other parts of our product development stack as suits your career goals.
As a software engineer, you will be working on a close-knit (~3-5 person) focused team to take ownership of a problem and deliver a high-quality solution at blazing velocity using a modern data stack.
Example projects include:
- Design and engineer a machine learning platform to put models into production efficiently for a med device company
- Design and engineer modernization of a data streaming and analysis system for an adtech business
We are hiring Software Engineers at all levels. Our interview process is designed to map your background and experience to our leveling and to enable you to be successful in the role. We’re excited to talk to you if you are passionate about data, hit SOME of these bullets strongly, and are motivated to learn the rest:
- Understand shepherding a project through a complete lifecycle - from discovery to deployment - using a sprint based incremental development approach
- Have experience building and orchestrating data management pipelines using tools such as Airflow, Prefect, or Dagster
- Are comfortable in languages like Python, Java, and Scala, having an ability to understand tradeoffs between languages, be an expert in at least one and capable of picking up others depending on project demands.
- Understand modern data storage and processing tools and their tradeoffs - SQL vs. NoSQL database technologies, in memory, and distributed database systems, and tools such as PostgresSQL, Cassandra, Hive, Spark, Redshift, Kafka, Hudi or Iceberg.
- Have worked in CI/CD environments and understand scalable deployment and operational management (DevOps) techniques
- Are comfortable working with a cloud environment (i.e. AWS, Azure, GCP)
- Understand that the value that comes from pausing your work to answer a question or provide guidance
As a Senior DevOps Engineer, you’ll contribute to a high-performing team in developing a self-service AI/ML Platform on AWS SageMaker for a leading Medical Devices Company. Your work will help data scientists monitor the accuracy of their predictions, explain the factors contributing to those predictions, and evaluate their models for bias. Take advantage of the opportunity to collaborate with your end users directly and witness the positive impact your combined efforts have on their productivity and output.
Attinad Technologies places tremendous value on continuously providing our engineers with opportunities to expand their skillsets. Our project teams are made up of engineers, program managers, designers, and product managers. We are highly collaborative, oriented towards building and learning, and keenly aware of the responsibility of helping our customers deploy software products for real end users.
This is a senior-level opportunity and we are seeking candidates with 3-6+ years of relevant, professional experience. However, experience does not always equal expertise so reach out if you can say ‘yes’ to most of these bullets:
- Proponent of infrastructure-as-code with ample experience building, changing, and deploying infrastructure using Terraform or similar technology (CloudFormation, CDK, Pulumi, etc)
- Empathy for the end user. You’re ready to go the extra mile to learn how data scientists (specifically these data scientists) think about their workflows and you innately know how to connect your learnings to create informed opinions about production-ready software.
- Python: you’re comfortable reading and writing it (and you like using it, too)
- Capable of discussing technical concepts with non-technical stakeholders, whether they be your coworkers or external partners.
- Hold the belief that when it comes to AWS: there is no such thing as a ‘problem,’ it’s just a challenge. You trust that the solution exists and you can find it with a little effort.
- Comfortable working with Docker images for local development and in production deployments
As a senior software engineer a large portion of your time and energy will be focused on a cross-functional team building scientific infrastructure for the modern era.
Our project teams are made up of engineers, program managers, designers, and product managers. We are highly collaborative, oriented towards building and learning, and keenly aware of the responsibility of helping our customers deploy software products for real end users.
This opening is for Front End Engineers of all levels, and our interview process will evaluate your background and experience to assess your current level and enable you to be successful in your role here. Experience does not always equal expertise so reach out if you can say ‘yes’ to most of these bullets:
- Built and shipped a web app to production; either solo or as a major contributing member of a team
- Modern JavaScript frameworks are where you thrive and when we need an app built in React.js or Vue.js: you’re the one who jumps at the opportunity
- Backend engineers and UX designers trust you, to inform API design and do what you can to improve the user experience
- Back end may not be where your expertise lies, but you could talk the talk and maybe have even developed some backend APIs
- The cloud is familiar to you and you have experience with one of the major cloud providers (AWS, GCP, or Azure)
We are seeking a highly skilled and hands-on Senior Data Scientist to play a key role in delivering AI-driven business analytics solutions for the oil and gas industry. This role focuses on working directly with clients to understand their data challenges, performing data transformations, enabling data governance discussions, and building advanced analytics and machine learning models. The ideal candidate will have a strong background in data science, technical coding, and a solid understanding of the oil and gas sector.
Client Collaboration:
- Lead data discovery sessions with clients to understand their business needs, identify data sources, and define data strategies.
- Work closely with stakeholders to align analytics solutions with organizational goals.
Data Transformation and Governance:
- Perform data extraction, transformation, and loading (ETL) using tools like Python, SQL, and cloud platforms.
- Enable and facilitate discussions around data governance, ensuring compliance, quality, and security standards.
Third-Party Data Management:
- Integrate, analyze, and manage third-party datasets relevant to the oil and gas industry, ensuring seamless integration with client systems.
Analytics and Market Intelligence:
- Conduct advanced analytics to deliver actionable insights for market intelligence, operational efficiency, and strategic decision-making.
- Develop visualizations and dashboards to communicate findings effectively to both technical and non-technical audiences.
Machine Learning and AI Model Development:
- Build, test, and deploy machine learning models to solve complex business challenges, such as predictive maintenance, demand forecasting, and supply chain optimization.
- Optimize and automate processes through custom-built AI solutions.
Technical Coding and Implementation:
- Write robust, production-quality code to implement data pipelines and models , ensuring scalability and efficiency.
- Leverage cloud-based platforms like Azure or AWS for data processing and machine learning operations.
- Advanced degree in Data Science, Computer Science, or a related field.
- Strong hands-on experience with data analysis, transformations, and modeling using Python, SQL, and machine learning libraries.
- Knowledge of data governance frameworks and best practices.
- Familiarity with integrating and managing third-party data in business applications.
- Proficiency in creating dashboards with tools like Power BI or Tableau.
- At least 3 years of experience in the oil and gas industry or working with relevant datasets is a significant advantage.
We are looking for a highly skilled and experienced Senior Data Engineer to join our growing team. The ideal candidate will have extensive experience in building and optimizing data pipelines, working with cloud technologies such as Azure Data Factory, MongoDB, and Databricks, and designing scalable data architecture. As a Senior Data Engineer, you will be responsible for ensuring the performance, scalability, and reliability of our data infrastructure while collaborating with cross-functional teams to implement innovative data solutions.
Data Pipeline Development & Optimization:
- Design, develop, and maintain scalable and efficient data pipelines using
- Azure Data Factory
- MongoDB
- Databricks
- Other relevant tools
- Implement end-to-end ETL (Extract, Transform, Load) processes, ensuring data is correctly transformed, loaded and optimized for downstream analytics.
- Manage large datasets, working with structured, semi-structured, and unstructured data.
- Monitor and optimize data pipeline performance to ensure timely and accurate data delivery.
Data Architecture & Cloud Solutions:
- Collaborate with data architects and stakeholders to build robust and flexible data models and architectures.
- Build and maintain cloud-based data solutions using Azure services, ensuring scalability, security, and high availability.
- Work closely with data teams to ensure data quality, consistency, and integrity across various systems.
Leadership & Collaboration:
- Provide guidance and mentorship to junior data engineers, fostering an environment of learning and growth.
- Troubleshoot and resolve issues related to data integration and pipeline performance and system errors.
- Collaborate with cross-functional teams to drive data-driven decision-making.
Continuous Learning & Innovation:
- Stay updated with the latest trends and advancements in data engineering and cloud technologies.
- Implement best practices for data governance, security, and compliance.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
- Minimum of 5 years of experience in data engineering,with a strong focus on cloud platforms and data architecture.
- Strong hands-on experience with:
- Azure Data Factory - for building and managing ETL pipelines.
- MongoDB - for handling NoSQL database solutions.
- Databricks -for big data processing, analytics, and machine learning workflows.
- In-depth knowledge of data architecture design, data modeling, and data warehousing concepts.
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Expertise in Microsoft Azure services, including:
- Azure Data Lake
- Azure SQL
- Azure Synapse Analytics
- Mongo Atlas
- Proficiency in SQL and scripting languages (Python, Scala, or similar)
- Familiarity with data governance and security practices within cloud environments.
- Strong problem-solving and debugging skills.
- Excellent communication skills, with the ability to collaborate effectively with cross-functional teams.
- Experience with additional cloud data platforms such as AWS or Google Cloud.
- Familiarity with:
- Azure Synapse Analytics
- Azure Data Lake
- Azure SQL Database
- Knowledge of machine learning frameworks and integrating them into data pipelines.
- Experience with CI/CD for data pipeline automation and deployment.
- Strong understanding of Agile development methodologies.
- Microsoft Azure Data Engineer certification is a plus.
- Familiarity with Large Language Models (LLMs) and their data requirements.
- Experience with data governance frameworks and data security best practices.
- Experience with containerization technologies (e.g., Docker, Kubernetes) and serverless architectures.
- Knowledge of data security, data access management, and encryption techniques.
- Experience with RESTful APIs, message brokers, and event-driven architectures.
We are seeking an experienced and highly skilled Senior Data Platform Architect to design and implement robust, scalable data platforms that support AI-powered business analytics solutions for the oil and gas industry. This role requires expertise in Azure-based data architectures, strong data engineering skills, and a proven track record of delivering production-grade platforms.
The ideal candidate will have exceptional communication skills to effectively collaborate with technical teams and business stakeholders, ensuring alignment between platform capabilities and business objectives.
Platform Design and Architecture:
- Design and architect end-to-end data platforms leveraging Azure ecosystem tools , including:
- Azure Data Factory
- Azure Synapse
- Azure Data Lake
- MongoDB
- Databricks
- Define the platform architecture to support advanced analytics, machine learning, and AI-driven solutions tailored to the oil and gas industry.
- Ensure the platform is scalable, secure, and optimized for performance, supporting both real-time and batch processing.
Data Engineering Leadership:
- Oversee data ingestion, transformation, and processing pipelines, ensuring data quality and governance, including Cognite Data Fusion.
- Collaborate with data engineering teams to implement best practices and optimize workflows.
Production-Grade Solutions:
- Lead the development of production-grade data solutions, ensuring reliability, scalability, and operational efficiency.
- Incorporate monitoring, logging, and automation capabilities to streamline platform maintenance.
Stakeholder Collaboration:
- Work closely with business stakeholders, data scientists, and analysts to understand requirements and translate them into actionable data platform designs.
- Communicate complex technical concepts effectively to non-technical stakeholders.
Governance and Compliance:
- Implement data governance frameworks and ensure compliance with industry standards and regulatory requirements.
- Drive discussions on data security, privacy, and lifecycle management.
Innovation and Thought Leadership:
- Stay updated on emerging technologies and trends in cloud computing, data platforms, and AI.
- Recommend and integrate cutting-edge tools and methodologies to enhance platform capabilities.
- Advanced degree in Computer Science, Data Engineering, or a related field.
- Proven experience in designing and delivering production-grade data platforms using the Azure ecosystem.
- Knowledge of Cognite Data Fusion or similar industry data platforms is preferred.
- Expertise in:
- Azure Data Factory
- Azure Synapse
- Databricks
- Azure SQL
- Azure Data Lake
- Strong data engineering skills, including ETL/ELT workflows, big data processing, and pipeline automation.
- Excellent communication skills, with the ability to engage both technical teams and business stakeholders.
- Experience in the oil and gas industry or working with relevant data is a strong advantage.
This is a unique opportunity for a visionary architect passionate about building state-of-the-art data platforms that enable transformative AI-driven analytics in the oil and gas sector.
We are seeking an experienced ERP Business Analyst to join our team and lead the development and implementation of the finance module for our Enterprise Resource Planning (ERP) system. The ideal candidate will have a strong background in finance and accounting processes, coupled with expertise in ERP systems and business analysis.
- Analyze and document current financial processes and workflows
- Gather and translate business requirements into functional specifications for the ERP finance module
- Collaborate with stakeholders to design and configure financial components including General Ledger, Accounts Payable, Accounts Receivable, and Fixed Assets
- Conduct gap analysis between business needs and ERP system capabilities
- Develop and maintain a prioritized backlog of user stories for implementation
- Work closely with IT teams to ensure proper integration of the finance module with other ERP components
- Perform financial analyses, reconciliations, and assist with general accounting duties
- Design and develop custom financial reports using ERP tools
- Lead and participate in testing of new or modified financial functionalities
- Provide technical support and training to finance team members on ERP usage
- Bachelor's degree in Finance, Accounting, or related field; MBA or relevant master's degree preferred
- 5+ years of experience as an ERP Business Analyst, with a focus on finance modules
- Strong knowledge of financial processes, accounting principles, and regulatory requirements
- Proficiency in ERP systems such as Odoo, Dynamics, SAP, Oracle, or Microsoft Dynamics
- Experience with ERP implementation methodologies (e.g., Waterfall, Agile)
- Excellent analytical and problem-solving skills
- Strong communication and interpersonal abilities to work effectively with both technical and non-technical stakeholders
- Proficiency in SQL for data querying and manipulation within ERP databases
- Experience with data migration and integration techniques in ERP environments
- Certification in relevant ERP systems or business analysis (e.g., CBAP, SAP certification)
- Knowledge of financial industry standards and compliance requirements
- Experience with cloud-based ERP solutions and SaaS models
- Familiarity with business intelligence and data visualization tools
The successful candidate will play a crucial role in optimizing our financial processes through effective ERP implementation, ensuring data integrity, and driving efficiency across the organization's financial operations
We are seeking an experienced ERP Data Migration Specialist to lead the critical process of transferring data from our legacy ERP system to our new ERP platform. The ideal candidate will have a strong background in data management, ERP systems, and project execution.
- Develop and execute a comprehensive data migration strategy, including planning, extraction, cleansing, transformation, and loading of data
- Perform data mapping between the old and new ERP systems, ensuring accurate translation of data structures
- Analyze existing data for redundancies, inconsistencies, and quality issues2
- Collaborate with cross-functional teams to identify critical data for migration and determine data retention policies
- Implement data quality assurance processes to validate accuracy, completeness, and consistency during and after migration
- Develop and manage ETL (Extract, Transform, Load) processes for efficient data transfer
- Conduct thorough testing of migrated data to ensure integrity and functionality in the new system
- Provide regular updates to stakeholders on migration progress and address any issues that arise
- Bachelor's degree in Computer Science, Information Systems, or related field
- 5+ years of experience in ERP data migration, preferably with both legacy and modern ERP systems
- Strong knowledge of data management principles, ETL processes, and database structures
- Proficiency in SQL and experience with data migration tools
- Excellent analytical and problem-solving skills
- Strong communication abilities to interact with both technical and non-technical stakeholders
- Experience with data governance and compliance requirements
- Certification in relevant ERP systems (e.g., SAP, Oracle, Microsoft Dynamics)
- Experience with cloud-based ERP migrations
- Knowledge of industry-specific data requirements, particularly in manufacturingor finance
- Familiarity with data visualization tools for reporting and analysis
The successful candidate will play a crucial role in ensuring a smooth transition to our new ERP system, minimizing disruption to business operations while maximizing data integrity and usability
We are looking for a talented and experienced Graphic Designer to join our team. The ideal candidate will have 4-5 years of hands-on experience and a strong portfolio demonstrating creativity and technical expertise.
- Design and develop visual content for online campaigns, print ads, websites, motion graphics, and videos.
- Create visually appealing graphics, illustrations, and layouts for both digital and print media.
- Shape the visual aspects of presentations, case studies, books, magazines, and product packaging.
- Collaborate with cross-functional teams to conceptualize and execute design elements that align with brand guidelines.
- Work on various digital media formats tailored for our social media platforms (Instagram, Facebook, LinkedIn, YouTube, etc.).
- Stay updated with industry trends, design techniques, and emerging technologies to continuously enhance design quality.
- Edit and produce high-quality videos for various digital platforms.
- Bachelor's degree in Graphic Design, Multimedia, Art, or a related field.
- Minimum of 4+ years of relevant work experience or equivalent freelance experience.
- Proficiency in the latest design software, including:
- Adobe Illustrator
- Adobe Photoshop
- Adobe Premiere Pro
- Adobe After Effects
- 3D Blender or similar tools
- Strong creative and visual skills with excellent attention to detail.
- Ability to work under pressure and meet deadlines.
- Strong communication skills and the ability to collaborate in a team environment.