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Sr. Manager, Machine Learning Engineering
4 months ago
How will you contribute?
Technical Leadership: Collaborate with data scientists, software engineers and other stakeholders to design dynamically scalable and efficient Analytic services leveraging in-house and third-party models. Lead by example by actively contributing to design, development, and support of Analytic services in production environments following Smarsh standard Engineering methodology and processes. Provide Technical guidance and mentorship to team members fostering culture of learning and innovation. Communicate updates and risks proactively on the progress of team’s commitments to key stakeholders and aligning with overall business objectives. Championing Quality of Product and Service adopting standards, methods, metrics, and processes ensuring continuous assessment, learning and improvement Product mindset while being aware and addressing customer challenges and business needs
People Management
Manage a team of ML engineers including hiring, mentoring and performance management. Manage multiple teams across geographic regions Set clear goals and expectations for the team and provide regular feedback and support to help team members achieve objectives. Identify opportunities for professional development and growth for team members and support their career advancement within the organization. Foster cross collaboration, promoting knowledge sharing aligning to OneSmarsh Collaborate with peer engineering leaders influencing outcomes with-in and outside team Can weigh the pros and cons of various solutions and propose the best path. Recognize issue patterns and implement proactive measures to address the root causes. Manage task lifecycle using tools like JIRA Participate in internal & external code reviews, provide feedback for continuous improvement. Influence, Establish and Sustain Best Practices. Actively participate in team agile ceremonies and provide valuable inputs. Other duties as assigned.
Technical Requirements
Good experience and Proficiency with JVM language (Java/Kotlin) and experience in Python Experience in NLP, ML-Ops and data pipelines Experience with ML frameworks/libraries such as TensorFlow, PyTorch, scikit-learn Strong understanding of ML Algorithms, Statistical techniques, and data analysis methodologies Experience with Data processing, feature engineering and model evaluation techniques. Experience in cloud platforms like Amazon Web Services & Google Cloud Experience with Amazon Sagemaker and Jupyter Notebooks Experience with Model Servers such as Triton Inference server Experience working in AI/ML based Analytics products Experience in microservices & event-driven architecture Exposure and experience in building ML applications/services with cloud scalability Experience in Kafka and RDBMS such as MySQL & Postgres Proficient in containerized platforms like Docker, Helm & Kubernetes Experience in CI/CD tools like Bamboo, ArgoCD Experience in Prometheus & Grafana Proficient in API design Proficient in working with distributed systems
What do we offer?
We value our people and offer a competitive salary along with other benefits, including: Strong maternity and paternity schemes, Workplace pension scheme, Generous holiday package, Private medical insurance, Dental insurance, Group life assurance, Group income protection, an Employee assistance programme, a Monthly wellness allowance, Stock options, and much more. Smarsh is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Smarsh invites all qualified and interested applicants to apply for career opportunities. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. including the frequency of functions. About our culture Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Best Places to Work Awards. Come join us and find out what the best work of your career looks like.