This role involves collaborating with diverse teams to integrate data strategies, ensuring compliance with relevant regulations and policies, and staying informed of industry advancements to recommend best practices. The specialist is expected to have extensive experience in data governance, strong analytical and communication skills, and proficiency in technical skills like SQL and Python.
Collibra Developer Read More »
Job Title: Technical Project Manager/Data Engineering Manager
Job Type: Full Time
Job Location: Atlanta, GA
Experience: 8+ Years
Job Description:
Program Ownership
Business Consumer Coordination
Health Tracking
Risk Management
Problem Solving
Oversight of the End-to-End Release
Cross-Platform Expertise (DE, DG, BI, DS)
Leadership in Technical Execution
Coordinate across teams to resolve delivery challenges and bottlenecks
Strong Analytical Background
Strong Background in Data Engineering
Knowledge on GCP, SQL.
Technical Project Manager Read More »
Job Title: Senior Data Engineer
Type: Fulltime
Experience: 7 -12 yrs
Location: Remote
Skills: SQL , Python, ML Understanding and Open Source Frameworks
Job Description:
Create and optimize complex SQL queries for data extraction, manipulation, and reporting.
Develop robust Python scripts and applications for data processing, automation.
Collaborate with cross-functional teams to define architecture and implement best practices in cloud-native development.
Monitor and troubleshoot performance issues, ensuring reliability and scalability of cloud solutions.
Write clean, maintainable, and well-documented code following software development best practices.
Ensure data security and compliance with organizational and industry standards.
Strong hands-on expertise with SQL, including writing complex queries and optimizing database performance.
Advanced Python programming skills, including experience with libraries and frameworks relevant to data processing and integration.
Senior Data Engineer Read More »
Role Overview
We are seeking a highly skilled Senior MLOps Engineer with 8+ years of experience to join our team. The ideal candidate will have extensive expertise in model deployment, model monitoring, and productionizing machine learning models. You will play a crucial role in designing and implementing efficient workflows for AI programming and team communication, ensuring seamless integration of ML solutions within our organization.
Key Responsibilities:
• Workflow Design & Implementation: Oversee the implementation of workflows for AI programming and team communication, ensuring optimal collaboration and efficiency.
• Model Deployment: Manage and optimize model deployment processes, including the use of Kubernetes for containerized model deployment and orchestration.
• Model Registry Management: Maintain and manage a model registry to track versions and ensure smooth transitions from development to production.
• CI/CD Implementation: Develop and implement Continuous Integration/Continuous Deployment (CI/CD) pipelines for model training, testing, and deployment, ensuring high code quality through rigorous model code reviews.
• Model Monitoring & Optimization: Design and implement model inference pipelines and monitoring frameworks to support thousands of models across various pods, optimizing execution times and resource usage.
• Team Leadership & Training: Manage, mentor, and train junior engineers, fostering their growth and learning while overseeing a large team
• Collaboration with Data Science Teams: Train and collaborate with data science team members on best practices in tools such as Kubeflow, Jenkins, Docker, and Kubernetes to ensure smooth model productionization.
• Reusable Frameworks Development: Draft designs and apply reusable frameworks for drift detection, live inference, and API integration.
• Cost Optimization Initiatives: Propose and implement strategies to reduce operational costs, including optimizing models for resource efficiency, resulting in significant annual savings.
• Documentation & Standards Development: Produce MLE standards documents to assist data science teams in deploying their models effectively and consistently.
Qualifications:
• 8+ years of experience in MLOps, model deployment, and productionizing machine learning models.
• Proficient in Kubernetes, model monitoring, and CI/CD practices. Experience working in the Azure environment.
• Strong understanding of model registry concepts and best practices.
• Experience with programming languages and ML frameworks (e.g., TensorFlow, PyTorch).
• Proven track record of optimizing ML workflows and processes.
• Excellent communication and leadership skills, with experience in mentoring and training team members.
• Ability to work in a fast-paced, collaborative environment.
Principal Analyst – MLOps Engineer Read More »
Responsibilities
We are seeking a highly skilled and motivated Senior Principal Analyst to join our team. The ideal candidate will
possess a strong technical background with expertise in various programming languages and data technologies, Data
Science and Artificial Intelligence coupled with exceptional business acumen and communication skills. As a Senior
Principal Analyst, you will be responsible for leading technical initiatives, designing innovative solutions, and providing expert consultation to our clients.
Key Responsibilities:
• Develop & implement machine learning models & algorithms to extract insights from large datasets.
• Select features, build, and optimize classifiers/regressors using machine learning and deep learning techniques.
• Process, cleanse, and verify the integrity of data used for analysis.
• Perform data mining and analytics to support continuous risk monitoring and risk assessments.
• Utilize various statistical techniques and predictive modeling to drive and identify indicators of risk.
• Design & maintain effective information and data models that align with the organization’s data requirements and
objectives.
• Translate complex business problems into technical solutions and architectures.
• Develop and present Proof of Concepts (POCs) and technical client presentations.
• Mentor and provide guidance to junior data scientists and analysts.
Technical Skills:
• Advanced proficiency in Python coding for AI/ML algorithms and data analytics.
• Strong grasp of machine learning algorithms: Random Forest, Gradient Boosting, Naive Bayes, SVM, KNN.
• Deep understanding of deep learning techniques: DNN, CNN, RNN, LSTM, Autoencoders.
• Proficiency with ML/AI software and tools: scikit-learn, TensorFlow, PyTorch, CARET.
• Solid understanding of statistical concepts: Sampling Theory, Descriptive Statistics, Probability Distributions,
Statistical Tests, Dimensionality Reduction, Hypothesis Testing, Maximum Likelihood Estimators, and Inference.
• Expertise in model validation, hyperparameter tuning, and model selection techniques: Cross-validation, Bootstrap methods.
• Proficiency in data analytics tools for queries and analyses, and data visualization platforms for summaries,
predictive analyses, comparative analyses, dashboards, and reports.
• Strong command of query languages: SQL and Spark.
• Familiarity with cloud platforms such as AWS and GCP is a plus.
Qualifications:
• Bachelor’s or master’s degree in computer science, Information Technology, Engineering, or a related field.
• Minimum of 10 years of experience in a similar role with recent 8 years of relevant experience.
• Relevant certifications in programming languages, data technologies, or cloud platforms would be advantageous.
Senior Principal Analyst (SPA) – Data Science Read More »
Responsibilities:
We are seeking a highly skilled and experienced Web Analytics Manager to join our team. In this role, you will lead and
oversee analytics initiatives, focusing on web analytics using Adobe Analytics. Additionally, you will leverage your expertise
in Ecommerce, GCP, SQL, and project management to ensure successful project delivery and client satisfaction.
Key Responsibilities:
• Lead and manage web analytics projects, utilizing Adobe Analytics, SQL, and Google Cloud Platform (GCP) tools.
• Collaborate with client stakeholders to understand business objectives, define project requirements, and translate
requirements into actionable analytics strategies.
• Design and implement analytics tracking solutions to capture relevant data points and insights on website
performance, user behavior, and Ecommerce transactions.
• Conduct data analysis using SQL and Looker to extract meaningful insights and provide recommendations for
optimization and improvement.
• Drive the execution of analytics projects, managing timelines, resources, and deliverables to ensure project milestones
are met within scope and budget.
• Develop and deliver client-facing presentations and reports, communicating key findings, insights, and
recommendations effectively.
• Stay updated with industry trends and best practices in web analytics, Ecommerce, and data management to
continuously enhance service offerings.
Qualifications & Experience:
• Bachelor’s degree in computer science, Information Systems, or related field.
• 6+ years of experience in Web Analytics, with a proven track record of handling analytics initiatives using Adobe
Analytics.
• Proficiency in SQL with experience in writing complex queries to extract and manipulate data from databases.
• Should have team and delivery management experience and also have strong client interactions/presentation skill
ability.
• Exposure to GCP services like BigQuery and Dataflow Looker is a plus.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Ability to communicate effectively with technical and non-technical stakeholders.
• Experience working in Agile development environments is a plus.
• Adobe certifications are a plus.
Manager – Analytics Read More »
Responsibilities
We are seeking a highly skilled and motivated Senior Principal Analyst to join our team. The ideal candidate will
possess a strong technical background with expertise in various programming languages and data technologies, Data
Science and Artificial Intelligence coupled with exceptional business acumen and communication skills. As a Senior
Principal Analyst, you will be responsible for leading technical initiatives, designing innovative solutions, and providing expert consultation to our clients.
Key Responsibilities:
• Develop & implement machine learning models & algorithms to extract insights from large datasets.
• Select features, build, and optimize classifiers/regressors using machine learning and deep learning techniques.
• Process, cleanse, and verify the integrity of data used for analysis.
• Perform data mining and analytics to support continuous risk monitoring and risk assessments.
• Utilize various statistical techniques and predictive modeling to drive and identify indicators of risk.
• Design & maintain effective information and data models that align with the organization’s data requirements and
objectives.
• Translate complex business problems into technical solutions and architectures.
• Develop and present Proof of Concepts (POCs) and technical client presentations.
• Mentor and provide guidance to junior data scientists and analysts.
Technical Skills:
• Advanced proficiency in Python coding for AI/ML algorithms and data analytics.
• Strong grasp of machine learning algorithms: Random Forest, Gradient Boosting, Naive Bayes, SVM, KNN.
• Deep understanding of deep learning techniques: DNN, CNN, RNN, LSTM, Autoencoders.
• Proficiency with ML/AI software and tools: scikit-learn, TensorFlow, PyTorch, CARET.
• Solid understanding of statistical concepts: Sampling Theory, Descriptive Statistics, Probability Distributions,
Statistical Tests, Dimensionality Reduction, Hypothesis Testing, Maximum Likelihood Estimators, and Inference.
• Expertise in model validation, hyperparameter tuning, and model selection techniques: Cross-validation, Bootstrap methods.
• Proficiency in data analytics tools for queries and analyses, and data visualization platforms for summaries,
predictive analyses, comparative analyses, dashboards, and reports.
• Strong command of query languages: SQL and Spark.
• Familiarity with cloud platforms such as AWS and GCP is a plus.
Qualifications:
• Bachelor’s or master’s degree in computer science, Information Technology, Engineering, or a related field.
• Minimum of 10 years of experience in a similar role with recent 8 years of relevant experience.
• Relevant certifications in programming languages, data technologies, or cloud platforms would be advantageous.
Senior Principal Analyst- Data Science Read More »