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Senior Data Scientist - Agentic AI

posted by: spj_bot

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning 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.

As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

Job Skills

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AI/ML Technical Lead

posted by: spj_bot

Image removed.We are QUALCO, the technology arm of Qualco Group, with over 25 years of experience in delivering innovative solutions to the financial sector. We serve clients in over 30 countries, helping banks and other financial institutions manage credit and loans effectively while ensuring full regulatory compliance. Our advanced software leverages analytics, artificial intelligence, and digital technologies to support every stage of the credit and lending lifecycle, remaining at the forefront of fintech innovation. 

Image removed.

Job Skills

professional regulatory compliance revision control software engineers leadership product managers c # reliability personalized managing beverages regulatory requirement source code research development tools plan com artificial intelligence big datum distribute computing frameworks information product development www ideation engine product nosql banks information retrieval financial technology analytical distributed computing engineers data development driving equipment mobile team management algorithms model development python development plan best practices communication skills arm analytics collaboration innovation digital technology machine learn command line general data manage credit loans cross functional teams innovative cooperation financial institution scalability stage brainstorming git financial service driven features centered disability machine learning write communication english scale integrated linux systems decision making enterprise environments ping net framework manage execute track
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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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