Position title
ML Engineer
Description
Our company is growing rapidly and is looking for a Machine Learning Engineer. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
We look forward to reviewing your resume.
Skills Required
- 2+ years experience as a Machine Learning Engineer.
- 2+ years of experience with AWS, specifically S3, EC2, and EMR.
- 2+ years of experience with Spark, HDFS, and related large data technologies.
- Must be self-directed and self-motivated, capable of working and learning independently.
- Strong background in mathematics and algorithms, particularly for Machine Learning.
- 2+ years of overall experience.
- Comfortable working in a Linux environment.
- Contributions to open-source projects that can be reviewed are a plus.
- Fluent in C, C++, Python.
- Excellent knowledge in Natural Language Processing or Machine Learning.
- Familiar with reading and coding assembly.
- Good knowledge of NumPy, Halide, BLAS, Eigen.
- 1-3 years of experience developing deep learning models using tools such as Caffe, TensorFlow, Theano, Torch, Keras.
- Must possess a strong background in Machine Learning.
- Experience with GPU computing (CUDA) and deep learning libraries (TensorFlow, Caffe, Theano) is a plus.
- BS and MS in Computer Science or a related field with research in machine learning.
- Thrive in an Agile, highly collaborative, and team-oriented environment.
- Enjoy solving challenging problems on a global scale.
Roles & Responsibilities
- Develop robust processes for deploying deep learning architectures across various business domains.
- Collaborate closely with customers to adapt their deep learning requirements to FPGA.
- Design novel deep learning architectures to enhance the potential for scientific discoveries across diverse fields.
- Balance customer requirements with resource constraints, ensuring practical solutions and clear understanding of limitations.
- Interact with clients, third-party vendors, technology partners, and internal project stakeholders to comprehend requirements, implement solutions, and present results.
- Coordinate and collaborate with cross-functional teams, including Project Managers, Development teams, sales, and marketing, to develop estimates and overall solution implementation plans.
- Engage with inter-organizational contacts and external customers.
- Provide input on technical issues for specific projects, including preparing and presenting technical reports.
- Offer data science services to Bain case teams and clients globally.
- Construct learning systems for analyzing real-time and offline datasets, making predictions, or offering recommendations.
- Assemble complex datasets from multiple internal and external sources.
- Develop software modules based on algorithms and validate them against real data.
- Take ownership of a significant part of the team’s solution development.
- Work in a modern agile DevOps environment to deliver well-planned, tested, documented, and maintainable code, utilizing JIRA, Git, and CI/CD technologies.
- Design solution architecture in collaboration with team leads, focusing on AWS/Azure cloud solutions, and integrating/deploying into other environments.
- Share insights with team members in AAG ML/data engineering about theoretical and technical developments in the rapidly evolving field.
- Collaborate with the open-source community and contribute to creating a great working environment that attracts other skilled engineering colleagues.
Soft Skills
- Ability to work in a team.
- Self-starter and highly motivated.
- Excellent communication skills.
- Ability to handle high-pressure and fast-paced situations.
- Ability to work with globally distributed teams.
Educational Qualifications
Bachelor’s and Master’s Degree in Computer Science, Engineering, Science & Technology, Information Technology.
Contacts
For any queries drop an email at:
hr@clavrit.com
Job Type: Full Time
Job Location: Gurgaon