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Job Role: ML Engineer Years of Experience: 3 - 6 Yrs Work Mode: Work From Office (Coimbatore) JD: Roles, Responsibilities and Duties / Tasks and duties that define the role · Develop and implement machine learning algorithms and models for various applications. · Conduct exploratory data analysis to uncover patterns and insights. · Design and develop machine learning pipelines for data ingestion, pre-processing, feature engineering, model training, and evaluation. · Optimize machine learning models for performance and scalability. · Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. · Stay up-to-date with the latest advancements in machine learning and deep learning. · Experiment with new ML techniques and technologies. Must-Have Skills · Strong programming skills in Python and proficiency in ML frameworks (TensorFlow, PyTorch, Keras). · Experience with data pre-processing, feature engineering, and model selection. · Knowledge of various machine learning algorithms (regression, classification, clustering, etc.) and their applications. · Proficiency in statistical analysis and data visualization. · Excellent problem-solving and analytical skills. · Strong communication and collaboration skills. · Experience with deep learning architectures (CNN, RNN, LSTM, etc.). · Knowledge of ML Ops and model deployment practices. · Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. · 3 to 6 years of hands-on experience in a machine learning engineering role Good to have Skills · Experience with cloud platforms (AWS, GCP, Azure). · Familiarity with MLOps tooling (MLflow, Kubeflow, Airflow, Docker, Kubernetes). · Exposure to NLP or computer vision projects. · Experience building CI/CD pipelines for ML model deployment. · Familiarity with SQL and NoSQL databases. · Prior experience working with US-based clients or in a client-delivery environment
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.