Machine Learning Engineer

2 weeks ago

Ahmedabad India Ace Infoway Pvt. Ltd. Full time

Job Description

About The Role

We are seeking highly experienced Senior Machine Learning Engineers to join our AI team. Candidates should have 4+ years of experience building and deploying production-grade ML models. You will be responsible for end-to-end ML solutions, data-driven projects, and creating scalable, high-performance AI systems.

Key Responsibilities

- Design, develop, and deploy machine learning and deep learning models.
- Conduct advanced data preprocessing, feature engineering, and model evaluation.
- Implement optimization techniques for algorithm performance and scalability.
- Work with Python frameworks such as Scikit-learn, TensorFlow, PyTorch, and Keras for model development.
- Build interactive dashboards using Streamlit, Plotly, and other visualization tools.
- Collaborate with cross-functional teams including data engineering, product, and software development.
- Research and implement state-of-the-art ML/AI algorithms.
- Deploy models using FastAPI, Flask, Docker, or Kubernetes.
- Monitor and maintain production models for performance and reliability.

Required Skills & Expertise

- Programming Languages : Python (NumPy, Pandas, Matplotlib, Seaborn, etc.), SQL.
- Machine Learning : Supervised & unsupervised learning, regression, classification, clustering, recommendation systems, ensemble methods, Scikit-learn.
- Deep Learning : CNNs, RNNs, LSTMs, GRUs, Transformers, attention mechanisms, TensorFlow, PyTorch, Keras.
- Natural Language Processing (NLP) : Text preprocessing, embeddings, transformers (BERT, GPT), sentiment analysis, NER.
- Computer Vision : Image classification, object detection, segmentation.
- Time Series Analysis : Forecasting using ARIMA, Prophet, LSTM, RNN.
- Algorithms & Data Structures : Strong foundation in algorithm design, complexity analysis, probability, statistics, and optimization.
- MLOps / Deployment : FastAPI/Flask, Docker, Kubernetes, CI/CD pipelines, cloud deployment (AWS/GCP/Azure).
- Data Management : SQL, NoSQL, ETL pipelines, big data frameworks (Spark, Hadoop).
- Visualization & Reporting : Streamlit, Plotly, Matplotlib, Seaborn, interactive dashboards.

(ref:hirist.tech)

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