Senior Machine Learning Engineer - ML Ops & Cloud at IQVIA

Dhaka, Dhaka Division, Bangladesh

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Pharmaceutical, Healthcare, TechnologyIndustries

Requirements

Minimum BSC degree in Computer Science, AI, Machine Learning, or related technical field
Candidates must submit soft copies of academic certificates, transcripts, and past employment documents (joining letter, release letters etc.)
No record of parallel employment
4+ years’ experience of working on creating and deploying machine learning algorithms
Creative problem solver with a strong knowledge of statistics/data analytics, and machine learning methods and strategies
Advanced proficiency with Python (experience with other languages a plus)
Experience with software engineering best practices (programming, testing, version control, agile development, etc.)
Passion for translating vague problems into specific, actionable solutions
Experience distilling and presenting complex concepts to a business audience
Excellent communication (written and oral) and interpersonal skills
Proficiency in key technologies: Python, MLOps (Docker, Kubeflow, Sagemaker, Dataiku, Databricks), TensorFlow, PyTorch, scikit-learn, Evidently AI, Cloud Technologies (AWS, GCP, Azure), Version Control and CI/CD tools (Gitlab/Github/Bitbucket)

Responsibilities

Be the face of the ML products to client facing engagements
Work closely with non-technical stakeholders to successfully execute ML/LLM models and algorithms in the platform
Interface with software engineering & Algorithm SME team for the development of the product
Design and develop proof-of-concept solutions as needed using ML Products
Communicate effectively with both technical and non-technical stakeholders
Mentor and coach junior team members. Educate leadership team to bring up to speed with technical advances
Build, Own and Support production grade, scalable algorithms in the Next Best ML Platform
Quickly learn and adopt new tools and technologies related to ML and AI

Skills

Key technologies and capabilities for this role

PythonMLOpsDockerKubeflowSagemakerDataikuDatabricksTensorFlowPyTorchscikit-learnEvidently AIAWSGCPAzureGitlabGithubBitbucketCI/CDmicroservice architecture

Questions & Answers

Common questions about this position

What are the key technologies required for this role?

Key technologies include Python, MLOps tools like Docker, Kubeflow, Sagemaker, Dataiku, and Databricks, ML frameworks such as TensorFlow, PyTorch, scikit-learn, Evidently AI, cloud platforms AWS, GCP, Azure, and version control/CI/CD tools like Gitlab/Github/Bitbucket.

What is the minimum experience required for this position?

Candidates need 4+ years of experience working on creating and deploying machine learning algorithms, along with a minimum BSC degree in Computer Science, AI, Machine Learning, or a related technical field.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What is the company culture like for this team?

The team values a positive, can-do environment where collaboration and growth mindset are emphasized, with a focus on customer-centricity and building great products.

IQVIA

Advanced analytics and clinical research services

About IQVIA

IQVIA provides advanced analytics, technology solutions, and clinical research services specifically for the life sciences industry. Their services utilize extensive data resources and technology to create connections within healthcare, allowing clients to gain insights that help speed up the development and marketing of new medical treatments. This process is facilitated by their IQVIA Connected Intelligence™ system, which offers quick and flexible insights. IQVIA stands out from competitors by focusing on patient privacy, employing various technologies to protect individual data. The company's goal is to enhance healthcare outcomes by supporting biotech, pharmaceutical, and medical device companies, as well as researchers and government agencies, in understanding diseases and advancing medical science.

Durham, North CarolinaHeadquarters

1998Year Founded

$3,526MTotal Funding

POST_IPO_EQUITYCompany Stage

Cybersecurity, Biotechnology, HealthcareIndustries

10,001+Employees

Risks

Rapid advancement of cancer vaccines may disrupt traditional clinical research models.

Proliferation of disparate technological solutions causes technology overload in clinical trials.

Generative AI technologies face challenges in adoption due to data privacy concerns.

Differentiation

IQVIA leverages advanced analytics and big data for life sciences solutions.

The company offers privacy-enhancing technologies to protect individual patient data.

IQVIA's AI Assistant provides rapid, actionable insights for healthcare and life sciences.

Upsides

Increased adoption of decentralized clinical trials enhances patient-centric study designs.

AI-driven drug discovery accelerates identification of potential drug candidates.

Expansion of telemedicine facilitates remote patient monitoring and data collection.

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