Machine Learning Engineer

2 weeks ago

BangaloreChennaiHyderabadPune, IN Nilasu consulting Full time

Summary :

We are seeking a highly skilled and experienced Machine Learning Engineer to join our growing Data Science team.

You will play a key role in designing, developing, and deploying machine learning models to solve real-world business problems across various domains like recommendation systems, customer segmentation, NLP (Natural Language Processing), and time series forecasting.

Responsibilities :

- Collaborate with data scientists and business stakeholders to understand business needs and translate them into technical requirements for machine learning solutions.

- Explore, clean, and pre-process data from various sources (structured and unstructured) using Python and SQL.

- Develop and implement machine learning models using supervised learning (e.g., classification, regression) and unsupervised learning (e.g., clustering, dimensionality reduction) techniques.

- Build and deploy recommendation systems, customer segmentation models, NLP applications, and time series forecasting models (depending on project needs).

- Utilize libraries like scikit-learn for traditional machine learning tasks and explore deep learning libraries like TensorFlow or PyTorch for complex problems (if applicable).

- Integrate machine learning models into production pipelines and monitor their performance.

- Effectively communicate technical concepts and present results to both technical and non-technical audiences.

- Stay up-to-date with the latest advancements in machine learning and related technologies.

Qualifications :

- Master's degree in Computer Science, Statistics, Mathematics, or a related field (Bachelor's degree with relevant experience may be considered).

- 7 to 9 years of experience in machine learning engineering or a related data science role.

- Strong proficiency in Python programming and familiarity with data science libraries (scikit-learn, pandas, NumPy, etc.).

- Working knowledge of SQL for data retrieval and manipulation.

- Experience with applying supervised and unsupervised learning techniques to solve real-world problems.

Preferred :


- Experience with NLP techniques and tools for text data analysis.

- Experience with time series analysis and forecasting techniques.

- Excellent analytical and problem-solving skills.

- Strong communication and collaboration skills to work effectively with cross-functional teams.

- Ability to translate complex technical concepts into clear and concise language for non-technical audiences.

(ref:hirist.tech)

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