Senior Machine Learning Engineer
SKS EnterprisesBengaluru, Karnataka, India • Mumbai, Maharashtra, India
Posted April 10, 2024
Full Time
About the Company
SKS Enterprises is a data-driven human resources consulting firm founded in 2016 that specializes in sourcing top talent for technology, finance, advertising, and other high-growth sectors. Leveraging proprietary AI algorithms and an integrated applicant-tracking system, the company delivers end-to-end HR solutions—including staffing, compliance management, payroll, managed accounting, and learning & development—to free clients from administrative burdens. Its deep industry expertise spans IT, finance, architecture, banking, transportation, e-learning, industrial products, PR, and telecom, enabling tailored talent mapping and C-level hiring across diverse verticals. By positioning itself as a brand ambassador for each client and combining data insight with a personalized, creative approach, SKS consistently maximizes talent-acquisition efficiency and supports organizations in staying focused on their core business goals.
Job Description
We are seeking a highly skilled Senior Machine Learning Engineer to join our team in Bangalore or Mumbai. As a key member of our technology team, you will play a pivotal role in developing and deploying advanced machine-learning models to drive innovation and enhance our products/services.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
- Proven experience in developing and deploying machine learning models in a production environment.
- Proficiency in programming languages such as Python, R, or Scala, and machine learning libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Strong understanding of machine learning concepts and techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, etc.
- Experience with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
- Excellent problem-solving skills and the ability to think creatively to overcome challenges.
- Strong communication skills and the ability to collaborate effectively with cross-functional teams.
