Machine Learning Engineer  SFO, CA (Hybrid) 

Machine Learning Engineer  SFO, CA (Hybrid) 
> 
> Duration: 1+ year 
> 
> Job Description: 
> 
> NOTE : Must be good in comm and technical + Minimum of 8 years of work
> exp needed 
> 
> Role Overview 
> 
> We are seeking a skilled Machine Learning Engineer to design, develop,
> and deploy advanced AI/ML models, with a focus on Generative AI, RAG
> architectures, and large-scale machine learning applications. You will
> work on end-to-end ML pipelines, integrating state-of-the-art tools
> like OpenAI, Anthropic Claude, and vector databases to deliver
> high-quality solutions for real-world business challenges. 
> 
> Key Responsibilities 
> 
> ·        Machine Learning, Generative AI & RAG Development:  
> 
> ·        Build and fine-tune large language models (LLMs) using
> frameworks such as OpenAI GPT or Anthropic Claude.  
> 
> ·        Design and implement RAG pipelines for scalable, real-time
> applications leveraging vector databases like Pinecone, Weaviate,
> Opensearch.  
> 
> ·        Develop prompt engineering strategies to optimize model
> outputs for specific use cases.  
> 
> ·        Design and deploy scalable ML models that integrate with
> existing systems. 
> 
> ·        End-to-End ML Pipeline:  
> 
> ·        Architect, train, and deploy machine learning pipelines for
> NLP and multimodal AI solutions.  
> 
> ·        Conduct data preprocessing, feature engineering, and
> exploratory data analysis for training datasets.  
> 
> ·        Optimize embeddings for semantic search and document
> retrieval tasks.  
> 
> ·        Model Deployment & Optimization:  
> 
> ·        Deploy ML models in production environments using cloud
> platforms like AWS SageMaker, ECS or equivalent tools.  
> 
> ·        Ensure scalability, reliability, and low latency in
> production systems while monitoring model performance.  
> 
> ·        Implement CI/CD pipelines for ML models using Docker,
> Kubernetes, MLflow. 
> 
> ·        Ensure APIs and ML services handle high traffic with minimal
> latency. 
> 
> ·        Security & Compliance: 
> 
> ·        Ensure ML APIs follow best practices for authentication,
> authorization, and data privacy. 
> 
> ·        Collaboration & Integration:  
> 
> ·        Work closely with cross-functional teams including data
> scientists, software engineers, and product managers to align ML
> solutions with business objectives.  
> 
> ·        Work with data engineers to design feature stores and
> streaming pipelines. 
> 
> ·        Integrate ML outputs into enterprise systems while ensuring
> seamless user experiences.  
> 
> ·        Research & Innovation:  
> 
> ·        Stay updated on advancements in generative AI, LLMs,
> embeddings, and RAG technologies to enhance existing systems.  
> 
> ·        Experiment with new algorithms and frameworks to drive
> innovation in AI-powered applications.  
> 
> Required Skills & Qualifications 
> 
> Technical Expertise:  
> 
> ·        Minimum of 8 years of work experience with hast 4 years in
> Python; familiarity with frameworks like PyTorch, TensorFlow, and
> libraries like Hugging Face Transformers.  
> 
> ·        Hands-on experience with LLMs (e.g., OpenAI GPT models,
> Anthropic Claude) and fine-tuning techniques.  
> 
> ·        Strong understanding of RAG architectures and vector
> database integration (e.g., Opensearch, Pinecone, Weaviate).  
> 
> ·        API Development: FastAPI, Flask, Django 
> 
> ·        Containerization: Docker, AWS ECS, Kubernetes 
> 
> ·        Cloud & Data Tools:  
> 
> ·        Experience with cloud platforms such as AWS (SageMaker
> preferred), GCP Vertex AI, or Azure ML for deploying ML models.  
> 
> ·        Familiarity with SQL or NoSQL databases for data extraction
> and preprocessing tasks.  
> 
> ·        Problem-Solving Skills:  
> 
> ·        Ability to design scalable solutions for complex problems
> involving unstructured data and large datasets.  
> 
> ·        Strong analytical skills with a focus on optimizing ML
> workflows for performance and efficiency.  
> 
> Soft Skills:  
> 
> ·        Excellent communication skills to collaborate effectively
> with technical and non-technical stakeholders.  
> 
> ·        A passion for learning and staying ahead in the rapidly
> evolving field of artificial intelligence.  
> 
> Preferred Qualifications 
> 
> ·        Experience building conversational AI systems or chatbots
> using generative AI technologies.  
> 
> ·        Experience with building REST API using frameworks such as
> Fast API. 
> 
> ·        Experience with SQL and NoSQL database/store (Postgres,
> DynamoDB, Opensearch etc.) 
> 
> ·        Knowledge of NLP techniques such as sentiment analysis,
> topic modeling, or summarization tasks.  
> 
> ·        Familiarity with serverless architectures (e.g., AWS Lambda)
> or ECS for scalable ML deployment.  
> 
> ·        Bachelor’s or Master’s degree in Computer Science, Data
> Science, Mathematics, or related fields.