Machine Learning Engineer

2 weeks ago

Hyderabad, Telangana, India Prudent Globaltech Solutions Full time ₹ 1,20,000 - ₹ 2,40,000 per year

About the Role:

We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will be responsible for the design, development, deployment, and maintenance of machine learning models and systems that drive our [mention specific business area or product, e.g., recommendation engine, fraud detection system, autonomous vehicles]. You will work closely with data scientists, software engineers, and product managers to translate business needs into scalable and reliable machine learning solutions. This is a key role in shaping the future and requires a strong technical foundation combined with a passion for innovation and problem-solving.

Responsibilities:

Model Development & Deployment:

  • Design, develop, and deploy machine learning models using various algorithms (e.g., regression, classification, clustering, deep learning) to solve complex business problems.
  • Select appropriate datasets and features for model training, ensuring data quality and integrity.
  • Implement and optimize model training pipelines, including data preprocessing, feature engineering, model selection, and hyperparameter tuning.
  • Deploy models to production environments using containerization technologies (e.g.,Docker, Kubernetes) and cloud platforms (e.g., AWS, GCP, Azure).
  • Monitor model performance in production, identify and troubleshoot issues, and implement model retraining and updates as needed.

Infrastructure & Engineering:

  • Develop and maintain APIs for model serving and integration with other systems.
  • Write clean, well-documented, and testable code.
  • Collaborate with software engineers to integrate models into existing products and services.

Research & Innovation:

  • Stay up to date with the latest advancements in machine learning and related technologies.
  • Research and evaluate new algorithms, tools, and techniques to improve model performance and efficiency.
  • Contribute to the development of new machine learning solutions and features.
  • Proactively identify opportunities to leverage machine learning to solve business challenges.

Collaboration & Communication:

* Collaborate effectively with data scientists, software engineers, product managers, and other stakeholders.

* Communicate technical concepts and findings clearly and concisely to both technical and non-technical audiences.

* Participate in code reviews and contribute to the team's knowledge sharing.

Qualifications:

* Experience: 7+ years of experience in machine learning engineering or a related field.

Technical Skills:

  • Programming Languages: Proficient in Python and experience with other languages (e.g., Java, Scala, R) is a plus.
  • Machine Learning Libraries: Strong experience with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, Keras, etc.
  • Data Processing: Experience with data manipulation and processing using libraries like Pandas, NumPy, and Spark.
  • Model Deployment: Experience with model deployment frameworks and platforms (e.g., TensorFlow Serving, TorchServe, Seldon, AWS SageMaker, Google AI Platform, Azure Machine Learning).
  • Databases: Experience with relational and NoSQL databases (e.g., SQL, MongoDB, Cassandra).
  • Version Control: Experience with Git and other version control systems.
  • DevOps: Familiarity with DevOps practices and tools.
  • Strong understanding of machine learning concepts and algorithms: Regression, Classification, Clustering, Deep Learning etc.

Soft Skills:

  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.

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