Machine Learning Engineer
2 weeks ago
About Birlasoft:
Birlasoft brings together domain expertise, enterprise solutions, and digital technologies to redefine business processes. Our consultative and design thinking approach helps drive societal progress, enabling customers to run businesses with unmatched efficiency and innovation. As part of the CK Birla Group, a multibillion-dollar enterprise, we have a 12,500+ professional team upholding a 162-year legacy. Our core values focus on Diversity, Equity, and Inclusion (DEI) initiatives, as well as Corporate Sustainable Responsibility (CSR) activities, showcasing our commitment to building inclusive and sustainable communities. Join us in shaping a future where technology aligns seamlessly with purpose.
Job Description: Lead ML Developer
We are seeking a candidate with a technical-specialist background and hands-on experience in real-world projects. We value candidates with strong fundamentals rather than surface-level knowledge of techniques. The ability to learn and adapt to the constantly evolving field of AI with new technologies and techniques is crucial.
Experience: Ideally 10-15 years
Education: Bachelors/master's in computer engineering or related fields
Work/Problem space:
- Work covers various domains including manufacturing, life sciences, finance, and retail.
- Problems may involve different business functions like Operations, Sales, Finance, IT, and HR
Core skills required:
- Applying Machine Learning and Data Science to solve problems
- Proficiency in Statistical ML techniques, deep learning, computer vision, and NLP (in-depth knowledge of at least two)
- Analysis, design, and development of complex AI ML solutions
- Performance analysis of models using evidence-based and statistical methods
- Supporting in the deployment and post-live monitoring of solutions
Technology space:
- Open Source tools: Python and R
- Coding standards based on PEP8 or Google Python guidelines
- Platforms: Experience with at least one of Azure, Amazon, GCP, or Databricks
- Database systems: Working knowledge and integrations with SQL-based RDBMS and NoSQL document-based databases like Elasticsearch and MongoDB
- Exposure to deployment strategies such as APIs and docker containers
Additional preferred soft skills:
- Ability to work independently or in small teams
- Leading and mentoring junior team members
- Experience in Agile work environments
- Collaboration with architects, data engineers, and deployment teams
- Engaging with business clients, internal groups, and function leads
- Strong abilities in learning, leadership, communication, and teamwork
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