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Senior Data Scientist
avilamb —Remote
- Up to ₹1,45,000 a year
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- Master's degree
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Principal Engineer, Python fullstack (React+Genai)
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Principal Backend Engineer
SupplyHouse.com —Remote
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- Oracle
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Senior Data Scientist
avilamb —Remote
We are seeking a highly skilled *AI/Machine* Learning Architect and Senior Engineer to design, develop, and deploy advanced AI solutions leveraging OpenAI…
Up to ₹1,45,000 a year
Quick apply
Senior Software Development Engineer in Test (SDET)
WebSenor InfoTech —Remote
We are seeking an experienced *Senior Software Development Engineer in Test (SDET)* to develop and implement scalable automation frameworks for modern web, API,…
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Senior Data Scientist

avilamb
Remote

Quick apply

Job details

Full-time
Up to ₹1,45,000 a year

Benefits

Paid time off

Qualifications

CI/CD
Cloud infrastructure
Azure
Computer Science
Kubernetes
Spark
Master's degree
SQL
Project management
Bachelor's degree
Machine learning
Distributed systems
Continuous integration
APIs
Data science
AI
Python
Data Science

Full job description

Job Title: AI/ML Data Scientist/Data Engineer

Location: Remote (U.S. based) with occasional travel to client or partner sites as needed

Clearance Requirement: U.S. Citizenship and Green Card Holder with the ability to obtain a clearance

Ideally US Citizen OR Green Card Holder - A minimum of 3-5 years of continuous U.S. residency is requires due to Federal Background check requirements

POSITION OVERVIEW

We are seeking a highly skilled AI/Machine Learning Architect and Senior Engineer to design, develop, and deploy advanced AI solutions leveraging OpenAI models, Databricks, and Azure cloud infrastructure. This is a remote position with occasional travel for key project milestones, client workshops, and team alignment sessions.

The ideal candidate will bring deep expertise in machine learning architecture, large language model integration, distributed computing, and container orchestration (Kubernetes). You will work across the full AI/ML lifecycle — from data engineering and model development to deployment, scaling, and optimization — ensuring robust, secure, and high-performance solutions.

KEY RESPONSIBILITIES

AI/ML Architecture & Solution Design

Lead the design and implementation of scalable AI/ML architectures using OpenAI APIs and Databricks ML workflows.
Develop strategies for fine-tuning and integrating large language models into business applications.
Architect and implement MLOps pipelines for continuous integration, testing, deployment, and monitoring.
Define best practices for data ingestion, feature engineering, and model serving in cloud-native environments.

Cloud & Platform Engineering

Design and manage deployments on Microsoft Azure, leveraging services such as Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Databricks.
Orchestrate AI workloads on Kubernetes for scalability, fault tolerance, and cost optimization.
Implement containerized microservices for AI applications, ensuring secure and efficient execution.

Data Engineering & Processing

Develop high-performance ETL pipelines on Databricks for structured and unstructured data.
Optimize data storage, retrieval, and processing for AI training and inference workloads.
Ensure data quality, lineage, and compliance with applicable standards.

Collaboration & Technical Leadership

Collaborate with data scientists, software engineers, and business stakeholders to translate requirements into production-ready solutions.
Provide technical leadership, mentorship, and code reviews for AI/ML engineering teams.
Stay current with advances in AI/ML frameworks, cloud services, and MLOps practices.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
8+ years in software engineering or data engineering, with at least 4 years in AI/ML architecture.
Expert-level experience with OpenAI API integrations and Databricks ML.
Strong proficiency in Kubernetes (AKS preferred) and cloud-native architectures.
Proven experience deploying and scaling AI solutions on Azure.
Proficiency in Python, SQL, and distributed computing frameworks (e.g., Spark).
Familiarity with MLOps tools and best practices (e.g., MLflow, CI/CD for ML).

Preferred Qualifications

Experience fine-tuning large language models (LLMs) for domain-specific applications.
Knowledge of prompt engineering, embeddings, and retrieval-augmented generation (RAG).
Azure certifications (e.g., Azure Solutions Architect Expert, Azure AI Engineer Associate).
Contributions to open-source AI/ML projects or publications in the field.

Work Environment

Remote-first with flexibility to travel for project kick-offs, customer workshops, and strategic planning sessions.
Collaboration via cloud-based DevOps, version control, and project management tools.

Thank You Arnav Acharya Recruitment Professional (c) (630)-634-0003 LinkedIn https://www.linkedin.com/in/arnav-nidhi-acharya-ab4220234/

[email protected]

Pay: Up to ₹145,000.00 per year

Benefits:

Paid time off

Application Question(s):

Must be US CITIZEN OR GC HOLDER
Must be able to clear the Security Clearance - Public Trust
USA Job - A minimum of 3-5 years of continuous U.S. residency is requires due to federal background check requirements

Education:

Bachelor's (Preferred)

Work Location: Remote

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ai architect / sr. ai jobs in remote

Senior Data Scientist

Senior Software Development Engineer in Test (SDET)

Principal Engineer, Python fullstack (React+Genai)

Senior Database Reliability Engineer

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Principal Backend Engineer

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