Ai focused databricks developer (digital engineering) Job at Coherent Solutions

Sales Director – Oil & Gas (New Business Development)

Codvo is a global empathy-led technology services company where software enginee...

Location

United States , Houston

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

15-20 years total enterprise selling experience with consistent quota achievement
10+ years selling into Oil & Gas across upstream, midstream, downstream, petrochemical, pipeline, and OEMs
Deep domain knowledge of energy-sector digital transformation priorities
Strong track record of closing large, multi-stakeholder enterprise deals
Rigor around pipeline management, forecasting, and disciplined sales execution
Coaching experience and ability to build high-performing teams
Ability to influence senior executives and steer strategic conversations
Deep understanding of how data and AI solutions drive measurable outcomes in the energy sector
Entrepreneurial, adaptable, and comfortable building a vertical from the ground up
BA/BS required

Job Responsibility

Lead the energy-sector GTM strategy with a clear expectation to build $8-10M in qualified pipeline and close $3-4M in new revenue annually
Shape, pitch, and close digital transformation and AI-driven modernization programs
Build deep relationships with CIOs, CTOs, VPs of Digital/Data/AI, Operations, Maintenance, Supply Chain, and Plant/Field leaders
Position our offerings as enablers of operational efficiency, reliability, safety, and business growth
Drive structured sales cadences - deal reviews, forecasting, pipeline hygiene, win strategies, and qualification rigor
Mentor presales consultants on Oil & Gas enterprise selling, consultative techniques, and multi-stakeholder deal orchestration
Partner with Presales, Delivery, Marketing, Product, TA, and Engagement teams to shape winning solutions and proposals

Fulltime

Sales Director – Oil & Gas

Codvo is a global empathy-led technology services company where software enginee...

Location

United States , Houston

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

15-20 Years Total Selling Experience, including 10+ Years Selling into Oil & Gas
Significant experience selling AI/ML, GenAI, Agentic AI, MLOps, Data Engineering, Data Platforms, and Digital Twin solutions
Skilled at AI consultative selling, opportunity discovery, value engineering, AI readiness, and business case development
Ability to speak with both technical and business stakeholders about AI adoption, governance, guardrails, and ROI
Experience shaping AI programs for operational reliability, predictive maintenance, supply-chain optimization, and workforce augmentation
Strong relationships across AWS, Microsoft Azure, Google Cloud, Databricks, Red Hat, Snowflake, NVIDIA, and other ISVs
Experience executing co-selling motions, marketplace selling, joint account planning, and partner-aligned GTM activities
Ability to influence partner teams to prioritize Codvo solutions in territory plans and industry-focused engagements
15-20 years total enterprise selling experience with consistent quota achievement
10+ years selling into Oil & Gas across upstream, midstream, downstream, petrochemical, pipeline, and OEMs

Job Responsibility

Drive New Business Growth in Oil & Gas
Lead the energy-sector GTM strategy with a clear expectation to build $8-10M in qualified pipeline and close $3-4M in new revenue annually
Shape, pitch, and close digital transformation and AI-driven modernization programs
Engage and Influence Senior Energy Leaders
Build deep relationships with CIOs, CTOs, VPs of Digital/Data/AI, Operations, Maintenance, Supply Chain, and Plant/Field leaders
Position our offerings as enablers of operational efficiency, reliability, safety, and business growth
Run High-Discipline Sales Operations
Drive structured sales cadences - deal reviews, forecasting, pipeline hygiene, win strategies, and qualification rigor
Lead & Coach Presales Team
Mentor presales consultants on Oil & Gas enterprise selling, consultative techniques, and multi-stakeholder deal orchestration

Fulltime

Manager, Data Science

Manager, Data Science (12 Month Contract) The Manager, Data Science is an applie...

Location

Canada , Toronto

Salary:

85000.00 - 125000.00 USD / Year

Four Seasons

Expiration Date

Until further notice

Requirements

5+ years of working experience in data science, data wrangling, management, and/or ML engineering
University degree in Computer Science, Statistics, Data Science, Applied Mathematics, Engineering, or substantial coursework in relevant quantitative field
Applied modeling and analytics: strong foundation in statistics and ML (supervised/unsupervised), feature engineering, and model evaluation
ability to explain tradeoffs and drive business decisions
Experience in NLP and/or GenAI techniques for applied use cases (e.g., classification, entity extraction, semantic search) with an evaluation-first mindset
Data proficiency: advanced SQL and Python
strong data wrangling skills (profiling, cleansing, merging, validation) for large, messy datasets
Cloud & tooling (preferred): Azure and Databricks ecosystem (e.g., Databricks, Data Factory, Data Lake/Blob, Azure Function App, Azure AI Foundry), with ability to run scalable experimentation and modeling workflows
Production readiness (in partnership with Engineering): familiarity with CI/CD, version control (Azure DevOps/GitHub), reproducible pipelines, and monitoring principles for models and data products
Visualization & communication: experience using notebooks and BI tools (e.g., Power BI, Tableau, PowerPoint) to tell clear stories to technical and non-technical stakeholders

Job Responsibility

Lead Data Science in Designing Prototypes Supporting Commercial Strategy
Support Machine Learning Deployments
Develop and Support Generative AI Solutions
Partnerships and Following Four Seasons Standards

Fulltime

Senior Data Scientist

We are seeking a seasoned and self-organizing Senior Data Scientist to join our ...

Location

Egypt , Cairo

Salary:

Not provided

Coca-Cola HBC

Expiration Date

Until further notice

Requirements

BSc or MSc in Data Science, Engineering or a related field
Minimum 5 years of experience in data science roles, with a strong track record of delivering commercial analytics solutions (propensity modeling, forecasting, optimization)
Proven experience in owning projects end-to-end, from business understanding to deployment and impact measurement
Experience building scalable solutions that go beyond one-off analyses
People management experience of at least one year
Great communication skills and the ability to engage with both technical and business stakeholders
Proficiency in Python/Pyspark, SQL and ML libraries, and ideally certification in Databricks or Azure, as well as experience with PowerBI. Other cloud services are also acceptable
Concrete experience in SAFe-agile as way of working, as well as DevOps/MLOps in development
Strong, self-driven exposure in GenAI. Familiarity with Microsoft Copilot Studio and Foundry will be appreciated
Interest in gaining domain specific knowledge concerning the business model of Coca Cola Hellenic

Job Responsibility

Lead the development and deployment of advanced analytics and traditional machine learning solutions, working hands-on, as proof-of-concept and in production environments
Act as a technical lead, guiding other data scientists while remaining hands-on in solution design and delivery
Own the end-to-end lifecycle of data science solutions, from problem definition to deployment and continuous improvement
Collaborate with cross-functional teams to translate analytical outputs into measurable business impact, influencing commercial decisions
Stay current with emerging technologies, with a particular focus on Generative AI and its practical applications
Deliver scalable, maintainable solutions that support customer and business needs
Have opportunities for professional training and certifications as well as mentorship

What we offer

Development opportunities
Work with iconic brands
Supportive team

Fulltime

Senior Cloud Solution Architect - Cloud & AI Data Platform

We are looking for a Senior Cloud Solution Architect – Cloud & AI Data Platform ...

Location

United States , Multiple Locations

Salary:

106400.00 - 251900.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.

Job Responsibility

Operates according to required operational excellence and proven practice standards throughout all sales stages/activities/tools of record (e.g., pipeline updates, time tracking)
Collaborates across Microsoft and customer/partner teams through on-strategy delivery to achieve customer/partner objectives and increase customer/partner satisfaction
Proactively manages business and technical risks, adapts methodology and applies governance principles to identify, communicate, and minimize business and technical risks
Executes work in compliance with industry and Microsoft guidelines and procedures
Continuously prioritizes among competing demands in their work and identifies where impact occurs with customers, ensuring alignment with business priorities and goals
Delivers solutions in line with company methodologies (e.g., product offerings such as value-based deliverables [VBDs], advice, training, technical validation), ensuring proven practices and patterns are followed to prepare customers for operational readiness and achievement of their business goals and targets
Leveraging knowledge of change management proven practices and/or involving the change management team, proactively helps the customer deploy for long-term organizational adoption to increase customer satisfaction and drive consumption/usage
Guides customers/partners towards a well-architected (e.g., secure, resilient, artificial intelligence [AI]-enabled), and cost- and performance-optimized solution to increase retention and expansion opportunities
Provides feedback to Unified Delivery Team on VBDs to refine and further develop content
Proactively identifies new opportunities for Consumption, Usage & Unified expansion (especially Enhanced Solutions) at scale based on business value to customer/partner and clear understanding of the Microsoft value proposition for supported platforms to empower cloud success, foster and strengthen security and resiliency, and drive AI innovation

What we offer

Certain roles may be eligible for benefits and other compensation.

Fulltime

Senior Customer Operations Data Analyst

As a Senior Customer Operations Data Analyst, you will play a pivotal role in an...

Location

United States; Canada; Mexico , San Francisco; Atlanta; Austin; Boston; Chicago; Dallas; Denver; Houston; Jacksonville; Los Angeles; Miami; New York City; Phoenix; Portland; Sacramento; Salt Lake City; San Diego; Seattle; Washington, D.C.; Ottawa; Toronto; Vancouver; Mexico City

Salary:

115000.00 - 148000.00 USD / Year

Scribd

Expiration Date

Until further notice

Requirements

3+ years of experience in an analytical or reporting role in Customer Support or Customer Operations within a digital consumer industry, with a strong focus on working autonomously to solve problems
Proficient in using data analytics tools including SQL, Python, Databricks, Looker, and Zendesk Explore (or similar BI tools)
Strong working knowledge of MS Excel and/or Google Sheets
A Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, or Computer Science)
Solid knowledge of statistical concepts, including experimental design, hypothesis testing, regression analysis, and forecasting
Exceptional communication and presentation skills, with the ability to translate complex data into clear, actionable recommendations for technical and non-technical stakeholders
A passion for analyzing user behavior and proven ability to combine product-level and CS data with customer-level data to understand key drivers of performance
Experience with agile workflows and collaboration across product, research, and operations teams
Detail-oriented with strong analytical, critical thinking, and problem-solving skills
Ability to work independently, manage multiple tasks, prioritize effectively, and meet deadlines in a fast-paced environment

Job Responsibility

Data Collection, Synthesis, and Analysis: Gather, analyze, and interpret data to provide insights on customer support data and trends. Create pipelines for the collection and processing of new data from customer support sources
Reporting & Insights: Create comprehensive reports in Databricks, Looker, Google Sheets, Zendesk, and/or similar tools to monitor key metrics
Performance Metrics: Evaluate the effectiveness and performance of Customer Support goals, initiatives, and projects. Conduct in-depth analyses of performance, measuring KPIs such as service level achievement, customer effort & satisfaction, and user retention
Customer Insights: Analyze customer feedback and behavior patterns in response to product changes and on an ongoing basis
Forecasting: Forecast contact volumes and capacity needs
Roadmapping: Collaboratively manage the Customer Support’s data analysis roadmap with leadership
Collaboration: Work cross-functionally with stakeholders across Customer Support, Data & Analytics, Product, Engineering, and User Research
Leveraging Technology: Use AI and BI to enhance customer support operations and increase efficiency. Develop and maintain dashboards and reports and own communication of critical marketing metrics and campaign performance to team leads and executive stakeholders
Process Improvement: Provide actionable insights to stakeholders through data analysis, and identify opportunities for improvements operational efficiency. Stay informed about the latest Customer Support trends, analytics tools, and methodologies to continuously improve performance and methodologies
Project Support: Understand, document, and communicate business requirements for projects and process changes

What we offer

Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
12 weeks paid parental leave
Short-term/long-term disability plans
401k/RSP matching
Onboarding stipend for home office peripherals + accessories
Learning & Development allowance
Learning & Development programs
Quarterly stipend for Wellness, WiFi, etc.
Mental Health support & resources
Free subscription to the Scribd Inc. suite of products

Fulltime

Cloud Solution Architect - Cloud & AI Data Platform

We are looking for a Cloud Solution Architect – Cloud & AI Data Platform with de...

Location

Ireland , Dublin

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
Experience in one or more of the following areas: Data engineering, data warehousing, ETL/ELT, analytics, machine learning, or cloud solution architecture
Designing and delivering technical solutions in customer‑facing or consulting roles
Hands‑on experience with Azure Data & AI services (e.g., Azure SQL, Azure Data Factory, Synapse, Databricks, Azure ML, Azure Storage, Fabric)
Understanding of data governance, security, resiliency, and modernization practices
Ability to communicate complex technical concepts clearly to both technical and non‑technical stakeholders

Job Responsibility

Operates according to required operational excellence and proven practice standards throughout all sales stages/activities/tools of record
Collaborates across Microsoft and customer/partner teams through on-strategy delivery to achieve customer/partner objectives
Contributes to managing business and technical risks, adapting methodology and applying governance principles
Executes work in compliance with industry and Microsoft guidelines and procedures
Prioritizes among competing demands in their work and identifies where impact occurs with customers
Contributes to the identification, escalation, and mitigation of blockers using appropriate tools and processes
Continues to develop business, technical, industry, and/or enterprise knowledge and applies it to architecture or support projects
Identifies new opportunities for Consumption, Usage & Unified expansion (especially Enhanced Solutions) at scale
Actively listens to and respectfully challenges customers/partners, building trust to then advocate for alternative architectures/solutions/approaches
Contributes to the identification and evaluation of industry trends, gathering of customer/partner insights, and mapping of existing architecture and digital transformation solutions

Fulltime

AI Engineer

In this role, you will be responsible for creating, implementing, and optimizing...

Location

United States , Austin

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field (Master’s preferred)
5+ years of hands-on AI/ML development experience
Proficiency in Python and leading AI/ML libraries (TensorFlow, PyTorch)
Experience working with cloud ecosystems such as Azure and platforms like Databricks
Knowledge of MLOps methodologies, including containerization (Docker/Kubernetes) and CI/CD practices
Experience working with engineering or complex operational workflows is beneficial
Excellent communication, analytical, and teamwork skills
Familiarity with Generative AI, large language models, and retrieval‑augmented systems
Experience with predictive analytics, knowledge graph technologies, and agentic AI architectures

Job Responsibility

Develop and deploy AI/ML models for automation, predictive insights, and generative applications
Transform experimental prototypes into scalable, production-ready systems using tools such as TensorFlow, PyTorch, or Scikit-learn
Partner closely with data engineering teams to build reliable data pipelines and scalable architectures
Apply ETL processes and big-data technologies to clean, structure, and prepare datasets for modeling
Deploy AI solutions on cloud platforms (e.g., Azure machine learning services, Databricks) and integrate them into existing digital environments
Implement MLOps best practices across model lifecycle management, monitoring, and iteration
Collaborate with cross-functional teams—including engineering, IT, and business operations—to ensure AI solutions align with organizational goals
Translate complex AI concepts into clear, accessible explanations for non-technical audiences
Ensure all AI systems comply with organizational standards for security, governance, and responsible use
Maintain thorough documentation covering model assumptions, architecture, and decision-making processes

What we offer

Healthcare (medical, dental, and vision plans)
401(k) and retirement plans
Commuter benefits
Employee and vendor discounts
Employee Assistance Program (EAP)

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Ai focused databricks developer (digital engineering)

Job Responsibility

Requirements

Nice to have

What we offer

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