Machine Learning Engineer

2 weeks ago

Gurgaon, Haryana, India Dataviv Technologies Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Job Description Machine Learning / Deep Learning Engineer
Location :
Gurugram (Work from Office)

Experience :
26 years

Employment Type :
the Role :

We are seeking a highly motivated Machine Learning / Deep Learning Engineer who can design, develop, and deploy end-to-end AI solutions. The ideal candidate will have strong expertise in ML/DL, hands-on experience with cloud platforms (AWS / GCP / Azure), solid understanding of data science pipelines, and proven ability to build APIs using FastAPI for scalable deployment.

This is a client-facing, product-focused role where youll collaborate with data scientists, backend engineers, and business teams to bring AI models into production.

Key Responsibilities

  • Design, implement, and optimize ML/DL models for real-world applications (classification, regression, NLP, computer vision, etc.).
  • Work with data pipelines : preprocessing, feature engineering, and exploratory data analysis (EDA).
  • Deploy ML models on cloud environments (AWS Sagemaker, GCP Vertex AI, Azure ML, or similar).
  • Build and maintain FastAPI endpoints for serving models and integrating with front-end and backend systems.
  • Collaborate with cross-functional teams to define business problems and translate them into ML solutions.
  • Optimize model performance, scalability, and monitoring in production.
  • Stay updated with the latest trends in ML, DL, and cloud-native AI Skills & Qualifications :
  • Bachelors/Masters degree in Computer Science, Data Science, AI/ML, or related ML/DL Expertise :
  • Proficiency in Python and ML/DL libraries (TensorFlow, PyTorch, scikit-learn).
  • Experience with model training, hyperparameter tuning, evaluation, and Knowledge :
  • Hands-on with at least one cloud platform (AWS, GCP, or Azure).
  • Familiarity with containerization (Docker) and orchestration (Kubernetes) is a Science Knowledge :
  • Strong in data preprocessing, feature engineering, and exploratory analysis.
  • Understanding of SQL and NoSQL Development :
  • Experience with FastAPI (preferred) or Flask/Django REST for model deployment.
  • Familiarity with CI/CD pipelines, version control (Git), and ML model lifecycle management Skills :
  • Knowledge of NLP (transformers, LLMs) or Computer Vision (CNNs, object detection).
  • Exposure to big data frameworks (Spark, Hadoop).
  • Experience in deploying scalable AI solutions for production workloads.

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