Machine Learning Engineer - Predictive Modeling
Data Science Analytics & Machine Learning
Job Description
- Develop and deploy machine learning models for various predictive tasks.
- Collaborate with data scientists to understand business requirements and translate them into technical solutions.
- Perform feature engineering and selection to improve model performance.
- Tune hyperparameters to optimize model accuracy and efficiency.
- Monitor model performance in production and identify areas for improvement.
- Work with engineering teams to integrate machine learning models into existing systems.
- Write clean, well-documented code.
- Stay up-to-date with the latest advancements in machine learning.
- Participate in code reviews and knowledge sharing sessions.
- Contribute to the development of our machine learning infrastructure.
- Bachelor's or Master's degree in Computer Science, Statistics, or a related field.
- 0-1 years of experience in machine learning.
- Strong understanding of machine learning algorithms, such as linear regression, logistic regression, decision trees, and neural networks.
- Proficiency in Python and machine learning libraries such as scikit-learn, TensorFlow, and Keras.
- Experience with data visualization tools such as Tableau or Power BI.
- Experience with database management systems such as SQL or MongoDB.
- Excellent communication and collaboration skills.
- Strong problem-solving skills.
- Ability to work independently and as part of a team.
- Knowledge of big data technologies such as Hadoop or Spark is a plus.
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- Competitive salary and benefits package.
- Opportunity to work on challenging and impactful projects.
- Collaborative and supportive work environment.
- Professional development opportunities.
- Health insurance.
- Paid time off.
- Retirement plan.
- Employee assistance program.
- Flexible work arrangements.
Skills
PythonScikit-learnTensorFlowKerasTableauSQLMongoDBIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Jobaaj is India’s premier job portal, offering a comprehensive suite of services that include recruitment, training, placements, and career management solutions. With a dedicated focus on the Accounting, Finance, Data, and Consulting sectors, Jobaaj bridges the gap between skilled professionals and dynamic opportunities. Through an innovative approach and a commitment to excellence, Jobaaj ensures that job seekers and employers alike find the perfect match to drive mutual success.
Guided by a vision to create a close-knit professional community, Jobaaj aspires to help one crore individuals secure their dream jobs by 2030. By combining industry expertise with in-house tools like AI-powered portals, Resume Builder, and LinkedIn Optimizer, the platform provides candidates with the resources needed to stand out in an increasingly competitive job market. Jobaaj also offers mentorship programs and skill-enhancement training, equipping individuals with the knowledge and experience required to excel in their chosen fields.
Under the leadership of an experienced team, Jobaaj operates as a holistic ecosystem that goes beyond traditional job portals. From guiding students in identifying their ideal career domains to offering hands-on internships and facilitating placements, Jobaaj delivers a seamless journey for professionals at every stage. This unique approach, supported by years of firsthand industry experience, ensures personalized solutions that cater to the specific needs of clients and candidates.
Ranked as one of India’s top job portals, particularly in the Finance and Accounting sectors, Jobaaj stands out as a trusted platform for both job seekers and recruiters. With a mission to revolutionize the recruitment landscape, Jobaaj continues to expand its connected ecosystem, creating value for its community and shaping the future of employment in India.
Important dates & deadlines?
Application Deadline
06 Mar 26, 09:00 PM IST
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Machine Learning Engineer - Predictive Modeling
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