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Job Details Job Description Position: Python + ML Job Description 10+ years overall software development experience with at least 3+ years of experience in large scale data platforms. Excellent expertise in Object oriented programming Python and APIs. Excellent expertise in AI/ML Technologies Excellent expertise in Numpy, Pandas, SciPy Excellent expertise in Tensor Flow, PyTorch Experience in distributed systems specially Kafka and its eco systems like Gateways,
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Job OverviewWe are seeking an experienced Machine Learning Engineer / MLOps Engineer to design, build, and optimize scalable AI and machine learning solutions. The ideal candidate will possess deep technical expertise in data pipeline development, MLOps automation, and cloud-based model deployment (preferably AWS SageMaker), working closely with data science and engineering teams to ensure reliability, efficiency, and operational excellence in production ML systems.
Key Responsibilities
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Python & Databricks Developer (ML Ops)
Job responsibilities include:
Build and maintain scalable machine learning models using Python and Databricks.Develop APIs to support model deployment and integration with enterprise systems.Implement ML Ops practices for model versioning, monitoring, and automation.Collaborate with developers, system administrators, and end users to resolve technical issues.Apply strong problem-solving skills to identify and troubleshoot complex data and model-related
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Title: AI/ML EngineerLocation: RemoteHiring Type: W2ContractJob Summary:We are looking for a versatile and experienced Machine Learning Engineer (Contractor) to support our data engineering and analytics initiatives onGoogleCloudPlatform (GCP).
Key Responsibilities:
Design and implement unsupervised ML models to extract insights from structured and unstructured data
Develop generative AI solutions for data augmentation, summarization, and visual storytelling
Create interactive and comp
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Interview Type: Webcam only
Description of Duties
Design, implement, and optimize Machine Learning based computer vision components, including:
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Object detection and image classification models.
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OCR pipelines integrating third-party and in-house engines.
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Image quality assessment classifiers (e.g., overexposed, underexposed, obstructed
Develop robust, production-ready Python code with strong Object Oriented Design (OOD) principles.
Collaborate with system archit
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Key Responsibilities:Architect and maintain high-performance data pipelines across diverse data sources.Build scalable data processing solutions on Snowflake, AWS, and GCP.Implement ML algorithms for data quality monitoring and anomaly detection.Develop data models, enforce data governance, and maintain documentation.Collaborate with analysts, data scientists, and stakeholders to deliver actionable insights.Required Skills:14+ years in ETL/ELT, data warehousing, and data modeling.Advanced SQL an
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Job Description:
Design and implement machine learning models and pipelines for real-world applications.Build and maintain robust ML pipelines using tools like Vertex AI Pipelines and Terraform for CI/CD templates and configuration management for ML workflows. Implement onboarding and monitoring processes for deployed ML models. Integrate and manage knowledge graphs and vector databases to support semantic search and retrieval-augmented generation (RAG) systems.Collaborate with cross-functi
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Description:
Tachyon Predictive AI team seeking a hybrid Data Science & ML Ops Engineer to drive the full lifecycle of machine learning solutions—from data exploration and model development to scalable deployment and monitoring. This role bridges the gap between data science model development and production-grade ML Ops Engineering.
Key Responsibilities
Develop predictive models using structured/unstructured data across 10+ business lines, driving fraud reduction, operational effic
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Job Summary:
We are looking for a highly skilled Ops Engineer with strong expertise in Terraform, Databricks, MLOps, and Large Language Models (LLMs This role is ideal for someone passionate about automating infrastructure, optimizing data and machine learning workflows, and supporting the deployment of advanced AI models in production environments. You will work closely with data scientists, ML engineers, and DevOps teams to enable scalable, secure, and reliable ML and LLM infrastructure.
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Python Programming: At least 5 years of hands-on experience with Python, particularly inframeworks like FastAPI, Django, Flask, and experience using AI frameworks.Access Control Expertise: Strong understanding of access control models such as Role-BasedAccess Control (RBAC) and Attribute-Based Access Control (ABAC), lang Chain.API and Connector Development: Experience in developing API connectors using Python forextracting and managing access control data from platforms like Azure, SharePoint, J
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