Senior Machine Learning Engineer at Halborn

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Consumer HealthIndustries

Requirements

BSc, MSc or PhD degree in mathematics, computer science, or another scientific discipline that provides solid foundations on relevant aspects of Data Science
5-10 years of industry experience with proven experience implementing machine learning engineering pipelines on large datasets
Strong understanding of ML engineering best practices
Strong collaboration skills and comfortable working with ambiguity, making quick, informed decisions considering trade-offs
Experience with deploying machine learning solutions on enterprise infrastructure
Strong programming skills in Python or similar programming languages
Ability to manage competing priorities across a portfolio of projects
Manage a team of up to 3 Machine Learning Engineers
Highly desirable: Strong experience with cloud-based infrastructure and distributed computing systems, such as Azure, AWS, or GCP
Highly desirable: Experience with containerization and orchestration tools, such as Docker and Kubernetes
Highly desirable: Understanding of software engineering principles, such as modular design, clean code, and testing
Highly desirable: Familiarity with DevOps practices and tools, such as continuous integration and deployment (CI/CD) pipelines and configuration management tools like Ansible or Terraform
Highly desirable: Excellent problem-solving skills

Responsibilities

Lead the deployment of ML solutions on the enterprise infrastructure, in line with ML engineering standards and best practices (version control, testing, deployment, maintenance)
Manage the entire lifecycle of data science/machine learning models, including monitoring, data gathering for retraining, and updates
Implement ML engineering best practices, such as coding standards, code reviews, and automated testing
Define and implement metrics to evaluate the functional performance and computational resource efficiency of ML and AI components
Coordinate and manage competing priorities across a portfolio of projects
Influence across organisations, collaborate with cross-functional teams, including data scientists, data engineers, and business stakeholders
Contribute to a highly collaborative team with a culture of ownership, initiative and responsibility
Contribute to the development of the Team’s ML engineering standards of reusable DS, ML, and AI assets
Motivate, coach, mentor colleagues within the ML Engineering Team to develop technical excellence

Skills

Key technologies and capabilities for this role

Machine LearningML PipelinesModel DeploymentVersion ControlAutomated TestingCode ReviewsModel MonitoringData Retraining

Questions & Answers

Common questions about this position

What is the salary range for this Senior Machine Learning Engineer position?

This information is not specified in the job description.

Is this Senior Machine Learning Engineer role remote or office-based?

This information is not specified in the job description.

What qualifications and experience are required for this role?

Candidates need a BSc, MSc or PhD in mathematics, computer science, or a related scientific discipline, plus 5-10 years of industry experience with proven experience implementing machine learning.

What is the company culture like at Haleon?

Haleon fosters a highly collaborative team environment with a culture of ownership, initiative, responsibility, and co-creation, shaped by all who join to improve everyday health.

What experience makes a strong candidate for this Senior Machine Learning Engineer role?

Strong candidates have 5-10 years of experience leading ML solution deployments, managing model lifecycles, implementing best practices, influencing across organizations, and managing a small team of up to 3 engineers.

Halborn

Cybersecurity for blockchain and digital assets

About Halborn

Halborn specializes in cybersecurity focused on blockchain technology and digital assets. The firm provides security audits, penetration testing, and consulting services to clients in the digital finance sector, including cryptocurrency exchanges and Decentralized Finance (DeFi) companies. Their services help ensure the security of digital assets and financial infrastructure by addressing the specific security threats associated with blockchain technology. Halborn stands out from competitors due to its deep understanding of both blockchain and traditional financial security, which allows them to offer tailored solutions. The company's goal is to protect businesses from security threats, ensuring the safe operation of digital exchanges and the integrity of smart contract infrastructure.

Miami, FloridaHeadquarters

2019Year Founded

$87.5MTotal Funding

SERIES_ACompany Stage

Cybersecurity, Financial ServicesIndustries

51-200Employees

Benefits

Health Insurance

Unlimited Paid Time Off

Company Equity

Risks

Increased targeting of Bitcoin hot wallets poses risks to Halborn's clients.

AI-powered social media bot farms could introduce new cyber threats.

Ongoing vulnerabilities in smart contracts remain a challenge for Halborn's services.

Differentiation

Halborn specializes in blockchain and digital asset cybersecurity, setting it apart.

The company offers high-level security audits and penetration testing for DeFi clients.

Halborn's expertise in both blockchain and traditional finance security is unique.

Upsides

Growing demand for blockchain security boosts Halborn's market potential.

Partnerships with Tholos and Orion Protocol enhance Halborn's Web3 security reputation.

Tokenized real-world assets present new opportunities for Halborn's security solutions.

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