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Junior AI/ML Engineer

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AI Summary

Design, train, and deploy machine learning models and Generative AI applications for client engagements. Build and maintain data pipelines, implement RAG systems, and collaborate with cross-functional teams to ship AI features. Requires a degree in CS/AI/Data Science, strong Python skills, and 0-3 years of experience in AI/ML or related fields.

Key Highlights
Work on Generative AI, LLMs, and RAG pipelines using vector databases.
Support candidates with OPT, STEM-OPT, and H-1B status.
Competitive salary range of $80,000 – $120,000/year for entry-level candidates.
Key Responsibilities
Assist in designing, training, and deploying machine learning models for real-world use cases
Build and maintain data pipelines for model training, evaluation, and inference
Work with Large Language Models (LLMs) and Generative AI applications, including prompt design and evaluation
Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases
Fine-tune, benchmark, and monitor model performance in production
Collaborate with data engineers, backend developers, and product teams to ship AI features
Support data preprocessing, feature engineering, and experiment tracking
Technical Skills Required
Python Machine Learning SQL
Benefits & Perks
Health and wellness benefits
Paid Time Off (PTO)
Mentorship and continued learning
Nice to Have
Experience with LLM APIs/platforms (OpenAI, Claude, Gemini, Llama)
Retrieval-Augmented Generation (RAG) and vector databases (Pinecone, ChromaDB, FAISS, Weaviate)
Frameworks: LangChain, LangGraph, CrewAI, or AutoGen
Cloud ML platforms: AWS SageMaker, Azure ML, or Google Vertex AI
Docker, Kubernetes, and CI/CD for ML deployment (MLOps fundamentals)
Model evaluation and monitoring tools

Job Description


AI/ML Engineer (Entry-Level / Junior) — 0–3 Years


Location: United States (Onsite / Hybrid / Remote — based on client engagement)


Employment Type: Full-Time


Experience: 0–3 Years


Compensation: $80,000 – $120,000/year (entry-level band; higher for candidates with production ML experience)


About This Opportunity


Amoha Recruitment Services is building a talent pipeline of junior AI/ML engineers for upcoming client engagements in Generative AI, applied machine learning, and data-driven product development. We work with candidates on OPT, STEM-OPT, and H-1B status, as well as US citizens and Green Card holders.

This posting is aimed at recent graduates and early-career engineers who want to be considered as AI/ML roles open with our client companies.


What You'll Do (Typical Responsibilities Across Client Engagements)

  • Assist in designing, training, and deploying machine learning models for real-world use cases
  • Build and maintain data pipelines for model training, evaluation, and inference
  • Work with Large Language Models (LLMs) and Generative AI applications, including prompt design and evaluation
  • Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases
  • Fine-tune, benchmark, and monitor model performance in production
  • Collaborate with data engineers, backend developers, and product teams to ship AI features
  • Support data preprocessing, feature engineering, and experiment tracking


Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field
  • 0–3 years of experience in AI/ML, applied data science, or related coursework/research/internship work
  • Strong Python programming skills
  • Working knowledge of ML fundamentals: supervised/unsupervised learning, model evaluation
  • Hands-on experience with at least one of: TensorFlow, PyTorch, or Scikit-learn
  • Familiarity with Pandas, NumPy, and SQL-based data processing
  • Understanding of Git and collaborative development practices
  • Strong analytical and problem-solving skills


Skills That Strengthen Your Application

  • Experience with LLM APIs/platforms (OpenAI, Claude, Gemini, Llama)
  • Retrieval-Augmented Generation (RAG) and vector databases (Pinecone, ChromaDB, FAISS, Weaviate)
  • Frameworks: LangChain, LangGraph, CrewAI, or AutoGen
  • Cloud ML platforms: AWS SageMaker, Azure ML, or Google Vertex AI
  • Docker, Kubernetes, and CI/CD for ML deployment (MLOps fundamentals)
  • Model evaluation and monitoring tools


Work Authorization

We welcome and support candidates who are:

  • US Citizens or Green Card holders
  • On F-1 OPT or STEM-OPT
  • Eligible for or currently holding H-1B status


Compensation & Benefits

  • Market-competitive salary: $80,000–$120,000/year for entry-level candidates (senior/specialized AI roles command significantly more)
  • Health and wellness benefits through placement
  • Paid Time Off (PTO)
  • Mentorship and continued learning in a fast-moving field
  • Exposure to production-grade Generative AI projects


How to Apply


Submit your resume through this posting or connect with our recruiting team directly. Shortlisted candidates will be added to our active talent pipeline and contacted as matching client opportunities open up.


Amoha Recruitment Services LLP is an equal opportunity employer/placement partner and welcomes applicants regardless of race, gender, religion, national origin, disability, or veteran status


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