AI/ML Engineer

7Th Sky Techologies llc; Palo Alto (CA); Hybrid; USD 150.000 - 210.000; Vollzeit

Zusammenfassung

7Th Sky Technologies LLC in Palo Alto seeks an experienced AI/ML Engineer to design, develop, deploy and maintain production-grade AI solutions. You will leverage Python, TensorFlow or PyTorch, NLP, Generative AI and LLMs across cloud environments, with a focus on scalable pipelines and MLOps.

You will collaborate with data scientists, software engineers and product teams to deliver production-ready AI capabilities, with a hybrid work model and 4+ years of experience preferred.

Qualifikationen

• 4+ years of professional experience in AI/ML, data science or related engineering roles.
• Strong problem-solving and analytical skills with ability to translate business needs into AI/ML solutions.
• Experience with Python, ML frameworks, NLP, Generative AI and LLMs.
• Hands-on with MLOps, CI/CD, Docker/Kubernetes and cloud deployment.

Aufgaben

• Design, develop, train, evaluate, and deploy machine learning models.
• Build scalable AI/ML pipelines for data processing, model training, and inference.
• Develop ML solutions using Python and ML frameworks; work with NLP/LLMs and RAG.
• Deploy AI/ML models into production and maintain MLOps pipelines.
• Collaborate with data engineers to prepare large datasets and expose models via APIs.
• Monitor performance, latency, and reliability in production and optimize accordingly.

Kenntnisse

Python

ML concepts

Deep Learning

NLP

Generative AI

LLMs

RAG

Prompt Engineering

Vector databases

REST APIs

Git/GitHub

SQL

Docker

CI/CD

MLOps

Cloud platforms

Model evaluation

Ausbildung

Bachelor's or Master's in CS/AI/Data Science/Engineering

Tools

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

Matplotlib

Jobbeschreibung

Job Summary

We are seeking an experienced AI/ML Engineer to design, develop, deploy, and maintain machine learning and artificial intelligence solutions. The ideal candidate will have strong experience in Python, Machine Learning, Deep Learning, NLP, Generative AI, LLMs, and MLOps, along with hands on experience building and deploying scalable AI/ML applications in cloud environments.

We will work closely with data scientists, software engineers, product teams, and business stakeholders to develop production ready AI solutions.

Job Type

Job Type: Full-Time

Work Model

Work Model: Hybrid

Experience

Experience: 4+ Years

Employment

Employment: Full-Time

Key Responsibilities

• Design, develop, train, evaluate, and deploy machine learning models.
• Build scalable AI/ML pipelines for data processing, model training, and inference.
• Develop machine learning solutions using Python and relevant ML frameworks.
• Work with supervised and unsupervised learning algorithms.
• Develop and optimize deep learning models using frameworks such as TensorFlow or PyTorch.
• Develop solutions involving NLP, Generative AI, LLMs, and Large Language Models.
• Work with LLM APIs, prompt engineering, embeddings, vector databases, and RAG (Retrieval-Augmented Generation) architectures.
• Fine-tune and optimize machine learning and AI models when required.
• Deploy AI/ML models into production environments using cloud and containerization technologies.
• Develop and maintain MLOps pipelines for continuous training, deployment, monitoring, and model lifecycle management.
• Perform model evaluation, validation, performance optimization, and troubleshooting.
• Collaborate with data engineers to prepare and transform large datasets for machine learning applications.
• Implement APIs and microservices to integrate AI/ML models with enterprise applications.
• Monitor model performance, accuracy, latency, and reliability in production.
• Ensure AI solutions are scalable, secure, maintainable, and cost-effective.
• Stay current with emerging AI/ML technologies, frameworks, and best practices.

Required Skills

• Strong programming experience with Python.
• Strong understanding of Machine Learning and Deep Learning concepts.
• Experience with Scikit-learn, TensorFlow, PyTorch, or similar frameworks.
• Experience with Pandas, NumPy, Matplotlib, and other data science libraries.
• Strong understanding of algorithms, statistics, probability, and model evaluation.
• Experience with NLP and Generative AI.
• Hands on experience with LLMs, Prompt Engineering, RAG, embeddings, and vector databases.
• Experience with REST APIs and microservices.
• Experience with Git/GitHub and software development best practices.
• Knowledge of SQL and working with structured and unstructured data.
• Experience with Docker and containerized applications.
• Understanding of CI/CD and MLOps practices.

Cloud & MLOps

Experience With One Or More Of The Following

• AWS - SageMaker, Bedrock, EC2, S3, Lambda
• Azure - Azure Machine Learning, Azure OpenAI, Azure AI Services
• GCP - Vertex AI, BigQuery, Cloud Storage
• Kubernetes
• Docker
• MLflow
• Airflow
• Jenkins / GitHub Actions / Azure DevOps

Preferred Skills

• Experience with Generative AI and LLM application development.
• Experience with OpenAI, Azure OpenAI, Anthropic, or similar LLM platforms.
• Experience with vector databases such as Pinecone, FAISS, Weaviate, or Chroma.
• Experience building RAG-based applications and AI agents.
• Knowledge of LangChain, LlamaIndex, or similar frameworks.
• Experience with model optimization and inference performance.
• Knowledge of responsible AI, model security, and AI governance.
• Experience working in Agile/Scrum environments.

Education

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• Equivalent professional experience may be considered.

Qualifications

• 4+ years of professional experience in AI/ML, Data Science, or related engineering roles.
• Strong problem-solving and analytical skills.
• Ability to translate business requirements into scalable AI/ML solutions.
• Strong communication and collaboration skills.
• Ability to work independently as well as within a cross-functional team.
• Experience developing production-grade AI/ML applications.

Work Environment

Position: Full-Time

Work Arrangement: Hybrid

Schedule: Standard business hours, with flexibility based on business requirements

Location: [City, State]

Keywords

AI Engineer, Machine Learning Engineer, ML Engineer, Artificial Intelligence, Machine Learning, Deep Learning, Python, TensorFlow, PyTorch, Scikit-learn, NLP, Generative AI, GenAI, LLM, Large Language Models, RAG, Prompt Engineering, Vector Database, LangChain, LlamaIndex, MLOps, MLflow, AWS, Azure, GCP, SageMaker, Azure OpenAI, Vertex AI, Docker, Kubernetes, CI/CD, Data Science.

Skills

data science,learning,machine learning,data,azure,cloud,nlp,ml,models