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AI/ML Engineer (Remote)

BMR InfotekUnited States🇺🇸United StatesPosted 7 Jul 2026

Quick Overview

Salary
€90k - €180k/mo
Work Type
Remote
Level
Mid Senior

Job Description

Job Title: AI/ML Engineer (Remote)

Location: Remote
Experience: 5+ Years
Salary: ₹90,000 – ₹1,80,000+ per month (Based on experience and skills)
Employment Type: Full-Time

About the Role

We are looking for an experienced AI/ML Engineer to design, develop, and deploy scalable machine learning and artificial intelligence solutions. The ideal candidate should have hands-on experience building ML models, working with large datasets, deploying AI applications, and collaborating with cross-functional teams to solve complex business problems.

Key Responsibilities

  • Design, develop, and deploy Machine Learning and Deep Learning models for real-world applications.
  • Build and optimize predictive models using structured and unstructured datasets.
  • Develop AI-powered solutions using NLP, Computer Vision, Recommendation Systems, or Generative AI.
  • Perform data preprocessing, feature engineering, and model evaluation.
  • Fine-tune Large Language Models (LLMs) and integrate AI solutions into production environments.
  • Develop and maintain ML pipelines and automate model training and deployment.
  • Collaborate with Data Scientists, Data Engineers, and Software Developers.
  • Monitor production models and improve model performance over time.
  • Stay updated with the latest AI/ML research, frameworks, and industry trends.
  • Document model architecture, experiments, and deployment processes.

Required Skills

  • 5+ years of professional experience in AI/ML development.
  • Strong programming skills in Python.
  • Experience with TensorFlow, PyTorch, Scikit-learn, or Keras.
  • Hands-on experience with Deep Learning techniques.
  • Experience working with NLP, Computer Vision, Time Series, or Generative AI.
  • Knowledge of Large Language Models (LLMs), Prompt Engineering, RAG, and Fine-tuning.
  • Experience with vector databases such as Pinecone, Weaviate, FAISS, or ChromaDB.
  • Experience with ML model deployment using Docker, Kubernetes, or cloud platforms.
  • Knowledge of REST APIs and integrating AI services.
  • Experience with SQL and NoSQL databases.
  • Understanding of MLOps concepts and CI/CD pipelines.
  • Strong analytical and problem-solving skills.

Preferred Qualifications

  • Experience with AWS, Azure, or Google Cloud Platform.
  • Experience with MLflow, Kubeflow, Airflow, or similar MLOps tools.
  • Familiarity with Hugging Face Transformers and LangChain/LlamaIndex.
  • Knowledge of distributed computing frameworks like Spark.
  • Experience building production-scale AI applications.
  • Master''s or Bachelor''s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Nice to Have

  • Experience with AI Agents and autonomous workflows.
  • Knowledge of Reinforcement Learning.
  • Experience developing chatbots or conversational AI.
  • Contributions to open-source AI projects.
  • Research publications in AI/ML.

Benefits

  • Competitive salary: ₹90,000 – ₹1,80,000+ per month
  • Fully Remote Work
  • Flexible Working Hours
  • Learning & Development Opportunities
  • Work on cutting-edge AI and Generative AI projects
  • Collaborative and innovative work environment
  • Career growth opportunities

Skills

Docker
SQL
AWS
MLOps
MLflow
Machine Learning
NLP
Scikit-learn
Airflow
Azure
Computer Vision
Deep Learning
Generative AI
Google Cloud
Hugging Face
Keras
Kubernetes
PyTorch
Python
REST
TensorFlow

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