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Machine Learning Architect

posted by: spj_bot

Tiger Analytics is looking for an experienced Principal Data Scientist to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

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Generative AI Leader/Architect

posted by: spj_bot

Tiger Analytics is looking for experienced Machine Learning Architect to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for a hands-on Engineering Lead with deep expertise in Generative AI (GenAI), Large Language Models (LLM) / Small Language Models (SLM) who can lead the design, development, and integration of AI-powered components into real-world, production-grade applications. This role demands strong engineering leadership and best practices, a practical approach to application development and system design with applied AI, fluency in modern AI tools, frameworks, cloud-native application stacks, and preferably knowledge of healthcare domain intricacies. You will lead the technical delivery of AI-powered features for a variety of horizonal and vertical healthcare use cases— all while ensuring compliance with enterprise integration standards.

Requirements

Responsibilities

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Sr. AI engineer - (Remote - Colombia)

posted by: spj_bot

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Sr. AI Engineer in Colombia.

We are looking for a highly skilled and motivated Sr. AI Engineer to lead the design, development, and deployment of machine learning systems that drive intelligent features across a fast-growing financial platform. This role will be instrumental in building personalized recommendation engines, fraud detection models, and scalable MLOps pipelines. You will work with a cross-functional team of data scientists and engineers to deliver innovative, AI-powered solutions that improve customer experience and optimize platform performance. Ideal candidates are both technically adept and collaborative, capable of mentoring peers while staying on the cutting edge of machine learning technologies.

Accountabilities:

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Gen AI Data Engineer

posted by: spj_bot

Tiger Analytics is looking for experienced Machine Learning Engineers with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

Technical Skills Required:

Programming Languages: Proficiency in Python, SQL, and PySpark.

Data Warehousing: Experience with Snowflake, NOSQL and Neo4j.

Data Pipelines: Proficiency with Apache Airflow.

Cloud Platforms: Familiarity with AWS (S3, RDS, Lambda, AWS batch, SageMaker processing Job, CloudFormation, etc.) or GCP (Vertex AI RAG, Data pipeline, Bigquery, GKE)

Operating Systems: Experience with Linux.

Batch/Realtime Pipelines: Experience in building and deploying various pipelines.

Version Control: Experience with GitHub.

Development Tools: Proficiency with VS Code.

Job Skills

adaptability monitor system cloud platforms operating system GCP persistence communication buckets image data pipeline dashboards data system bigquery cloud technology python integrating higher level best practices communication skills docker pyspark system performance linux real time graphs iterate lambda aws e apache airflow disaster recovery ontologies scalable knowledge graph sql data formats information retrieval airflow problem solve career development kubernetes opensearch data science devops transformation programming languages track indexing leadership graph algorithm reliability automation managing development tools integration adapt managing data audio video data infrastructure nosql elasticsearch business continuity planning aws batch search technology business continuity collaboration workflows machine learn data warehouses neo4j data warehousing presentation data management version control github big datum GKE data visualization analytical data engineering positive algorithms curating analytics collecting data sagemaker cloudformation market research infrastructure as code graph database consulting unstructured data scalability data sources experimentation collaborative infrastructure snowflake containerization scale continuous integration datum curation data pipelines relational database
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Machine Learning Engineer

posted by: spj_bot

Tiger Analytics is looking for experienced Machine Learning Engineers with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

  • Providing solutions for the deployment, execution, validation, monitoring, and improvement of MLE solutions
  • Creating Scalable Machine Learning systems .
  • Building reusable production data pipelines for implemented machine learning models
  • Writing production-quality code and libraries that can be packaged as containers, installed and deployed

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

MLE Skillsets needed:

•          Good exposure to Model development and deployment

•          Experience developing API’s

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