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Data Science Consultant Copenhague [Busqueda Urgente]...

Data Science Consultant Copenhague [Busqueda Urgente]...

Management Solutions, SlBogotá, Bogotá, Distrito Capital, CO
Hace 7 horas
Descripción del trabajo

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Business & Data Analysis Lead

Hoy

Company Description

Blendis a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit

We are seeking a to contribute to our next level of growth and expansion.

Job Description

We are looking for an experienced

Business & Data Analysis Lead

to manage requirements sessions with cross-functional teams in Marketing and Engineering, defining analytics needs and identifying data gaps. This role requires excellent analytical, documentation, and communication skills, as it involves acting as the bridge between business and technical stakeholders to ensure high-quality delivery of data and analytics solutions. The position potentially involves working with US clients in PST or stakeholders in India.

You may work 100% remotely if you are currently living in LATAM, or you can always join us at the office

  • Lead requirements sessions with Marketing and Engineering to define analytics needs and data gaps.
  • Document business and data requirements, logical models, and source-to-target mappings.
  • Conduct gap analysis between current Databricks implementation and target architecture.
  • Validate and document existing profile scripts using strong SQL skills.
  • Develop and maintain clear documentation, including BRDs, data flow diagrams, ERDs, and gap analysis workbooks.
  • Translate complex technical concepts into clear, concise language for business stakeholders.
  • Collaborate with delivery teams following structured methodologies (waterfall or hybrid).
  • Facilitate workshops and discussions to ensure alignment across teams and stakeholders.

Qualifications

  • 5 years of experience in business and data analysis with IT product-related or analytics deliverables.
  • Strong SQL proficiency for data validation and documentation.
  • Solid understanding of data pipelines, ETL / ELT concepts, and Azure / Databricks environments (Delta Lake, medallion architecture).
  • Familiarity with marketing data sources (MDW, DRINCC, SFMC) and customer data platforms (CDPs).
  • Proven ability to create comprehensive documentation such as BRDs, ERDs, and data flow diagrams.
  • Excellent verbal and written communication skills and ability to translate between business and technical audiences.
  • Experience working under structured or hybrid delivery models.
  • Strong facilitation, analytical thinking, and attention to detail.
  • Experience with Agile or Waterfall methodologies is a plus.
  • Understanding of data architecture and analytics ecosystems in marketing contexts is highly desired.
  • Additional Information

    Our Perks and Benefits :

    Learning Opportunities

  • Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
  • Access to AI learning paths to stay up to date with the latest technologies.
  • Study plans, courses, and additional certifications tailored to your role.
  • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
  • English lessons to support your professional communication.
  • Mentoring And Development

  • Career development plans and mentorship programs to help shape your path.
  • Celebrations & Support

  • Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
  • Company-provided equipment.
  • Flexible working options to help you strike the right balance.

    Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.

    Hoy

    Our client is the leading airline in Latin America, offering the broadest network of destinations, flight frequencies, and aircraft fleet in the region. The company is driving innovation and quality through advanced AI / ML technologies.

    Project overview

    The project is in the early discovery phase, with a strong emphasis on GenAI and LLM-based solutions.

    Position overview

    You will join a strategic initiative focused on enhancing operational safety and predictive capabilities using advanced AI and machine learning. Your role will involve leading the development and deployment of these models, integrating them into scalable, production-ready systems.

    Responsibilities

  • Lead the design and development of ML / AI-based solutions to address real-world challenges in aviation.
  • Ensure scalable and reliable deployment of ML and LLM models in production environments.
  • Collaborate with DevOps and SRE teams to define and improve practices tailored to GenAI / LLM solutions.
  • Build internal tools to streamline model development, evaluation, and deployment processes.
  • Operate and monitor AI / ML platforms and systems, ensuring performance, availability, and rapid response to incidents.
  • Contribute to the continuous optimization of CI / CD pipelines and infrastructure.
  • Requirements

  • Experience with Google Cloud Platform (GCP)
  • Experience in Python and key ML libraries
  • Experience deploying and maintaining ML systems in production
  • Familiarity with infrastructure as code tools such as Terraform
  • Experience with containerization (Docker) and CI / CD pipelines
  • Solid understanding of ML lifecycle, from data preparation to model monitoring
  • Experience with ML Ops tools (e.g., Airflow, MLflow)
  • Some background in developing and scaling LLMs or GenAI solutions
  • Understanding of observability and incident response in AI / ML production environments
  • Machine Learning Engineer

    Hoy

    Perfil

  • AWS Services : AWS SageMaker, Lambda, Step Functions
  • Machine Learning Engineer

    Hoy

    Hi there We are South and our client is looking for a

    Machine Learning Engineer

    Note To Applicants

  • Eligibility : This position is open to candidates residing in Latin America.
  • Application Language : Please submit your CV in English. Applications submitted in other languages will not be considered.
  • Professional Presentation : We encourage you to showcase your professional experience by including a Loom video in the application form. While this is optional, candidates who provide a video presentation will be given priority.
  • We are looking for a Machine Learning Engineer with strong expertise in computer vision and object detection to tackle a specialized challenge : detecting walls and identifying rooms in architectural blueprints or pre-construction plans.

    This role is ideal for someone who is hands-on, detail-oriented, and passionate about applying advanced ML techniques to solve real-world problems.

    Key Responsibilities

  • Develop and fine-tune ML models for detecting walls in architectural blueprints.
  • Design and implement preprocessing pipelines for handling blueprint files (images / PDFs).
  • Optimize model inference using ONNX Runtime for production-ready deployment.
  • Build and maintain an API server to serve ML inference (preferably using BentoML).
  • Collaborate with stakeholders to define requirements, deliver milestones, and document solutions clearly.
  • Must-Have Requirements

  • Strong hands-on experience with PyTorch for model development and training.
  • Expertise with Ultralytics (YOLOv8) for object detection tasks.
  • Proficiency in OpenCV, Pillow (PIL), and NumPy for preprocessing and image manipulation.
  • Experience with ONNX / ONNX Runtime for optimized inference.
  • Solid knowledge of BentoML (preferred) or FastAPI for serving ML APIs.
  • Familiarity with Pydantic for schema validation.
  • Proven track record of deploying ML models into production.
  • Strong problem-solving mindset and ability to adapt ML tools to specialized use cases.
  • Clear communication and documentation skills.
  • Nice-to-Have

  • Experience working with PyMuPDF for parsing PDF-based architectural plans.
  • Background in architectural / engineering data or prior work with blueprint analysis.
  • Knowledge of clustering / grouping methods for room identification tasks.
  • Familiarity with MLOps practices (monitoring, scaling, CI / CD for ML).
  • Schedule

    : Monday to Friday - Full-time

    Location

    : 100% remote

    If this opportunity sounds good to you,

    send us your resume

    Hoy

    Perfil

    Machine Learning Engineer

    Hoy

    Machine Learning Engineer

    Who You'll Work With

    As a modern technology company, our Slalom Technologists are disrupting the market and bringing the art of the possible to life for our clients. We have a passion for developing strategies, solutions, and creative products to help our clients address their most complex and challenging business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies.

    Slalom's Global AI capability focuses on next-level AI and Machine Learning solutions for clients. You'll join a diverse team of engineers, data scientists, and AI thought leaders. We work across modern AI platforms, develop innovative AI solutions, and collaborate with our technology partners to drive their products into the future.

    Slalom is targeting candidates at the Consultant or Senior Consultant level for this role

    What You'll Do

  • Provide support from sales through delivery, understanding our clients' business challenges, and suggesting robust AI / ML solutions
  • Apply Machine Learning, Deep Learning, and other relevant technologies to assist in building AI tools that solve real business problems
  • Assist in the design, development, presentation, and delivery of traditional ML solutions in areas such as Computer Vision, NLP, Recommendation Systems, etc.
  • Stay updated on fundamental AI / ML concepts and emerging trends to contribute to solution discussions and development
  • Support the team in creating pricing strategies, go-to-market plans, and identifying potential partnerships to promote the adoption of AI / ML
  • Contribute to the growth of the AI / ML community within the organization through learning, mentoring, and sharing knowledge
  • What You'll Bring

  • Strong consultative and communication skills, and the ability to convey complex technical concepts to diverse stakeholders
  • Solid technical foundation, combined with constant curiosity to stay on the creative edge of ML / AI solutions
  • Technical and conversational fluency in AI, GenAI, Machine Learning, and at least one of the major clouds (AWS, GCP, Azure), and data platforms (Databricks and Snowflake)
  • Hands-on experience with RAG, agentic workflows, fine-tuning, or other LLM-based techniques
  • Experience putting ML / AI into production, and ability to talk through best practices and pitfalls, including Infrastructure as code frameworks, Docker, and CI / CD as part of MLOps / AIOps
  • Understanding of validation frameworks for AI and ML tools, with knowledge of the production-ready offerings on the market for AI validation
  • Excellent Python, especially for ML / AI use cases
  • Software engineering and / or application development background, especially in one of the major clouds
  • About Us

    Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

    Hoy

    Hey, it's time for you to join us showing the world we are the company that is changing paradigms, where we revolutionize the hours, minutes and seconds

    Do you want to know why Rappi?

    WE SEE OPPOTUNITIES

    where others see problems

    WE SEE CLOSE

    where others see distance

    WE SEE ADRENALINE

    where others see pressure.

    Join a team where we are all capable of EVERYTHING, where we all have the same opportunities, regardless of gender identity, race, religion, nationality, age, disability, training or experience.

    Did you like what you have read so far?

    Find out how you will deliver magic together with us through your Rappi mission

    Revisa Cómo Impactarás Nuestro Ecosistema

    We're looking for a Machine Learning Engineer who is passionate about automation, data engineering, and emerging technologies. You'll play a key role in designing, building, and maintaining data-driven solutions that scale AI capabilities across the company. This role involves working with APIs, orchestrating workflows, and implementing machine learning pipelines that drive real impact.

  • Design, build, and maintain RESTful APIs to serve machine learning models.
  • Develop and orchestrate data and ML pipelines using Airflow.
  • Build scalable ML solutions and workflows using Python.
  • Query, transform, and analyze data using SQL, preferably in Snowflake.
  • Use Docker for containerization and deployment of applications.
  • Work with Git for version control and collaborative development.
  • Collaborate cross‑functionally in agile environments (Scrum, Kanban).
  • Contribute to automation and optimization of data and ML processes.
  • Requirements

  • Strong programming skills in Python for backend and data science tasks.
  • Practical experience with Airflow or similar orchestration tools.
  • Proficient in SQL; hands‑on experience with Snowflake is a plus.
  • Experience designing and maintaining APIs.
  • Familiarity with Docker for packaging and deployment.
  • Solid understanding of Git and collaborative workflows (e.g., pull requests, CI / CD).
  • Experience working in agile teams.
  • Analytical mindset, proactive attitude, and continuous improvement focus.
  • Passion for data, automation, and cutting‑edge technology.
  • Nice To Have (Not Required)

  • Experience building or deploying AI Agents (e.g., using LangChain, OpenAI APIs).
  • Intermediate English for reading and understanding technical documentation.
  • Senior Machine Learning Engineer

    Hoy

    Machine Learning Senior Engineer

    Hoy

    Te proponemos : Hoy

    People are our most valuable asset.

    Join CMG's Innovation Lab as Machine Learning Engineer with a Master's or PhD focused on Physics-Informed Neural Networks (PINNs), Fourier Neural Operators (FNOs), Deep Reinforcement Learning (DRL) for reservoir and CFD applications. In this role you'll blend advanced ML theory with practical reservoir modeling, driving accuracy and performance improvements from concept through production.

    Key Responsibilities

  • Design and implement PINN-based solvers, FNO surrogates or others to accelerate reservoir simulation and optimization workflows.
  • Integrate your models into CMG's simulation pipeline, ensuring numerical stability and scientific rigor.
  • Build scalable data pipelines for large-scale geological and production datasets.
  • Containerize and deploy inference services, wrapping PINN / FNO models with robust APIs.
  • Strategic Roadmap

  • Collaborate with domain experts to define a multi-year ML / AI strategy for reservoir simulation.
  • Identify key research areas and drive prototyping of next‑generation ML solvers.
  • Early‑Stage Research & Delivery

  • Lead R&D projects—from literature review and algorithm design through hands‑on implementation and performance benchmarking.
  • Validate…
  • #J-18808-Ljbffr

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    Busqueda Urgente • Bogotá, Bogotá, Distrito Capital, CO

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