Machine Learning Engineer

Job Description

Job Description

Job Title: Data Engineer (Machine Learning)

Job Type: Full-Time

Location: Candidate must be open to relocate.

We are seeking a motivated Machine Learning Engineer who is passionate about transforming data into meaningful insights and business value. The ideal candidate will assist in analysing complex datasets, building predictive models, and collaborating with cross-functional teams to solve real-world business problems. This role is ideal for recent graduates or candidates with internship or project experience who are eager to build a career in Data Science and Analytics.

Key Responsibilities

• Analyze, clean, and preprocess structured and unstructured datasets.
• Develop and implement predictive models and machine learning algorithms.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Collaborate with engineering teams to deploy analytical models into production.
• Create dashboards, reports, and visualizations to communicate findings effectively.
• Validate data quality and ensure accuracy throughout the analytics process.
• Optimize data processing workflows and automate repetitive tasks.
• Work with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Document methodologies, models, and technical processes.
• Stay updated with emerging technologies, machine learning techniques, and industry best practices.

Required Skills

• Master's degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative field.
• 1–2 years of internship, academic project, or professional experience in data analytics or machine learning.
• Strong understanding of predictive modeling, machine learning algorithms, clustering, and classification techniques.
• Proficiency in at least one programming language such as Python, Java, C, C++, or SQL.
• Experience with data analysis libraries such as Pandas, NumPy, and Scikit-learn.
• Familiarity with Big Data technologies such as Hadoop, Spark, or Cassandra.
• Knowledge of data visualization tools such as Tableau, Power BI, or Matplotlib.
• Strong analytical, problem-solving, and communication skills.
• Ability to work collaboratively in a fast-paced team environment.

Preferred Skills

• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Knowledge of ETL processes and data pipelines.
• Understanding of REST APIs and data integration techniques.
• Experience with Git and version control systems.
• Exposure to Agile or Scrum development methodologies.