2-5 years of experience in machine learning or related field.
About the job
As a Machine Learning Engineer, you will be working with cross-functional teams to design, develop, and deploy machine learning models and AI solutions. You will be responsible for turning data into actionable insights, optimizing ML algorithms, and collaborating with data scientists and software engineers to integrate ML models into production systems.
Responsibilities
Design and implement machine learning models to solve complex business problems
Develop data pipelines and ETL processes for model training and deployment
Optimize ML algorithms for performance and scalability
Collaborate with data scientists to improve model accuracy and efficiency
Integrate ML models into production systems and maintain their performance
Stay current with the latest advancements in ML and AI technologies
Skills
Python (NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch)
Machine learning algorithms and statistical modeling
Deep learning frameworks
Data preprocessing and feature engineering
Big data technologies (e.g., Spark, Hadoop)
Version control systems (e.g., Git)
SQL and NoSQL databases
Cloud platforms (AWS, GCP, or Azure) for ML deployment
Qualifications
BE/B.Tech/MS/PhD in Computer Science, Machine Learning, Statistics, or related field
Excellent problem-solving and analytical skills
Strong communication skills to explain complex concepts to non-technical stakeholders
Upload your CV now and take the first step towards becoming a valuable member
of LaunchX. Your expertise could be the missing piece we need!"
