Machine Learning Architect
6 days ago
About Us
">Coders Brain Technology Private Limited is a leader in the field of machine learning and high-performance computing. We strive to deliver innovative solutions that exceed our clients' expectations.
">Job Overview
">We are looking for a skilled Machine Learning Architect to lead our team's efforts in developing cutting-edge machine learning solutions. The ideal candidate will have extensive experience in designing and implementing machine learning algorithms and systems.
">Key Responsibilities:
">- ">
- Design and implement machine learning algorithms and systems for various applications">
- Lead a team of engineers to develop and deploy machine learning solutions">
- Collaborate with cross-functional teams to integrate machine learning solutions into existing products and services">
- Conduct performance benchmarking and analysis to ensure the highest level of quality and efficiency">
- Stay up-to-date with the latest advancements in machine learning research and development">
- Develop and maintain technical documentation and knowledge base">
Requirements:
">- ">
- B.Tech/B.E./M.Tech/M.E./M.S./Ph.D degree in CSE/IT/ECE or related field">
- Minimum 8 years of experience in machine learning engineering and leadership roles">
- Proven track record of delivering high-quality machine learning solutions">
- Strong understanding of machine learning concepts, algorithms, and techniques">
- Excellent communication and leadership skills">
- Ability to work effectively in a fast-paced environment">
- Familiarity with cloud-based machine learning platforms and tools">
- Strong problem-solving skills and analytical thinking">
- Experience with containerization and orchestration technologies">
- Knowledge of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines">
- Ability to work collaboratively with cross-functional teams">
Salary: ₹1,200,000 - ₹2,000,000 per annum
">Location: India
">Benefits:
">- ">
- Competitive salary and benefits package">
- Opportunities for career growth and professional development">
- Collaborative and dynamic work environment">
- Recognition and rewards for outstanding performance">
- Access to cutting-edge technology and resources">
Contact Information:
">Please submit your resume and cover letter to apply for this position.
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