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Generative AI Leader

posted by: spj_bot

Tiger Analytics is looking for experienced Machine Learning Engineers 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

Job Skills

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Platform engineer, MLOps - San Francisco, CA (hybrid)

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 Platform Engineer, MLOps in San Francisco, CA.

This role is focused on building and maintaining the infrastructure that powers AI/ML development and production environments. You’ll collaborate closely with machine learning engineers and researchers to implement robust CI/CD pipelines, oversee container orchestration systems, and optimize large-scale training and inference workloads. Your work will ensure operational excellence, improve system reliability, and scale Kubernetes clusters supporting GPU-intensive tasks. This is a high-impact position for someone passionate about automating ML workflows and solving infrastructure challenges in fast-paced, high-growth environments.

Accountabilities:

Job Skills

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Senior Software Engineer - Data Engineering - (Remote - India)

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 Senior Software Engineer - Data Engineering in India.

This role offers an exciting opportunity for a seasoned data engineer to design, build, and optimize robust, scalable data pipelines that support AI-driven analytics and large-scale data processing. You’ll work with technologies such as Apache Spark, Kafka, and Databricks to develop real-time and batch solutions, integrate machine learning models, and contribute to the company’s growing data infrastructure. Collaboration with cross-functional teams including data science and product engineering will be key as you build systems that drive innovation and performance across a global user base.

Accountabilities:

Job Skills

data engineering python data infrastructure document systems product engineering distributed systems sql performance optimization work model java senior engineer scala data streaming data data stream best practices data pipelines tensorflow nosql training and development engineer data event driven equity software engineer broadband data warehousing real time infrastructure analytics data engineer kinesis ETL scikit learn design build software engineering collaboration validation cloud platforms data quality seasoned cross functional teams collaborate data science medical insurance innovation EMR operationalize machine learn monitoring systems data processing batch processing integrate flink apache spark unstructured datum scalable pytorch testing frameworks scale databricks build systems fault tolerant event processing
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Senior Product Manager- AR Automation - (Remote - Canada)

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 Senior Product Manager - AR Automation in Canada.

As a Senior Product Manager for AR Automation, you will take ownership of the product strategy and development for the automated accounts receivable solutions. This role will involve leading cross-functional teams to build new products, drive data-driven experiments, and improve existing features. You will work closely with engineering, design, and go-to-market teams to meet the needs of customers while fostering a high-performance culture. The position requires you to drive significant changes in the way AR teams operate, using your creativity and analytical skills to optimize processes and improve cash flow management.

Accountabilities:

Job Skills

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Perception Software Engineer - (Remote - US)

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 Perception Software Engineer in United States.

This is a high-impact role focused on developing advanced machine learning and perception systems for real-world autonomous mobility. You will work within a multidisciplinary team to design and implement efficient, real-time, multimodal perception models that power a next-generation transit solution. From fusing camera, radar, and lidar data to optimizing model inference on embedded systems, your contributions will directly influence safety-critical systems and help transform how people move through urban environments.

Accountabilities:

Job Skills

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Applied AI Engineer - (Remote - US)

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 an Applied AI Engineer in United States.

As an Applied AI Engineer, you will be on the frontlines of building and deploying high-impact AI solutions for enterprise customers. This is a customer-facing role where you’ll apply cutting-edge Gen AI and machine learning techniques to real-world problems, driving measurable business value. You’ll lead technical engagements, create custom workflows, and collaborate with product and engineering teams to evolve and enhance the AI platform. This role is ideal for someone who thrives in fast-paced environments, enjoys problem-solving, and wants to shape the future of AI deployment.

Accountabilities:

Job Skills

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Senior Manager/ Associate Director - Analytics Consulting (Pharma/Life Sciences)

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

Job Skills

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Senior Staff Data Scientist (Growth) - (Remote - US)

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 Senior Staff Data Scientist (Growth) in United States.

As a Senior Staff Data Scientist, you will play a pivotal role in driving business growth through the development and deployment of advanced machine learning models. Your expertise will help enhance customer experiences, optimize processes, and deliver actionable insights at scale. You will work closely with cross-functional teams, including product managers and engineers, to implement cutting-edge AI solutions and ensure they deliver tangible value in a production environment. This is a unique opportunity to shape the future of a fast-growing company while solving complex, high-impact problems.

Accountabilities:

Job Skills

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IS Data Engineer - (Multiple locations)

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 partner companies is currently looking for an IS Data Engineer based in Oregon, Washington, Utah, Idaho, Arizona, Nevada, Texas, Montana, or Wisconsin.

As an IS Data Engineer, you will play a crucial role in powering data-driven decision-making across the organization. You'll be responsible for building and optimizing robust data pipelines that transform raw data into curated, high-quality datasets for analysts, data scientists, and other business stakeholders. Your work will help automate and streamline the flow of data, ensuring it is both accessible and secure while enabling advanced analytics and machine learning. This is a highly collaborative role that involves working with multiple teams to meet emerging data needs and support business goals through innovative data engineering solutions.

Accountabilities:

Job Skills

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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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