Artificial Intelligence & Machine Learning Engineer

ARTIFICIAL INTELLIGENCE & MACHINE LEARNING ENGINEER

Remote – India | Permanent

We are looking for an exceptional Artificial Intelligence & Machine Learning Engineer to design and build production-grade AI systems that transform enterprise decision-making. This is not a research-only role. You will work on real-world applied AI, building models that run in production and solve operational problems using large-scale business data. You will design and deploy predictive models, intelligent automation systems, and AI-powered analytics platforms that directly influence strategic business decisions.

What You’ll Work On:

You will be responsible for building and deploying AI systems across multiple business functions, including:

• Predictive analytics and machine learning models

• AI-driven business intelligence and insights platforms

• NLP-powered analytics assistants and conversational data interfaces

• AI automation and decision-support tools

• Designing scalable ML pipelines and deploying models into production

Your work will move beyond experimentation into fully operational AI systems used across the enterprise.

Tech Stack: You will work with modern AI and data technologies including but not limited to:

•Python

•TensorFlow

•PyTorch

•Scikit-learn

Cloud Platforms: Azure / AWS / GCP

Domains: NLP • Machine Learning • Generative AI • Data Platforms

Experience: We are looking for engineers who can design, build, and deploy production AI systems.

Requirements:

• 3–5 years of experience in AI, Machine Learning, or Data Science

• Strong Python and machine learning engineering expertise

• Experience deploying ML models into production environments

• Strong problem-solving ability and applied AI thinking

Academic Requirement (Mandatory):

Candidates must have graduated from at least one of the following categories:

•Tier 1 Indian Institutions:

• Indian Institute of Technology Madras
• Indian Institute of Technology Delhi
• Indian Institute of Technology Bombay

•Ivy League Universities (USA)

•Global Top Universities:

• Massachusetts Institute of Technology (MIT)
• Stanford University
• Carnegie Mellon University (AI-specialist powerhouse)
• University of Oxford
• University of Cambridge
• Harvard University
• University of California, Berkeley
• California Institute of Technology (Caltech)
• ETH Zurich
• University of Chicago
• Princeton University
• Columbia University
• University of Washington
• Georgia Institute of Technology
• University of California, Los Angeles (UCLA)
• University of Texas at Austin
• Imperial College London (#2 QS overall)
• UCL (University College London)
• University of Edinburgh (strong AI/NLP research hub)
• Imperial College London (#2 QS overall)
• UCL (University College London)
• University of Edinburgh (strong AI/NLP research hub)
• EPFL (École Polytechnique Fédérale de Lausanne)
• Technical University of Munich (TUM)
• Delft University of Technology
• National University of Singapore (NUS)
• Nanyang Technological University (NTU) (top AI in Asia)
• Tsinghua University
• Peking University

Note: Candidates must meet at least one of the above criteria.

Applications that do not meet this requirement will not be considered.

Why Join Us:

1. Build Real AI Systems, Not Just Experiments: Your models will go into production and directly influence business decisions across a growing enterprise.
2. Work on Meaningful Data Problems: You will work with large, real-world datasets across multiple domains, building systems that solve operational challenges.
3. High Impact Role: This role sits at the intersection of AI, engineering, and business strategy, where your work will shape how the organization uses intelligence and automation.
4. Remote with Global Exposure: Collaborate with international teams while working remotely from India.

Disclaimer for Applicant Data Processing Consent

By submitting your application, you consent to the collection, processing, and transfer of your personal data in compliance with the Protection of Personal Information Act, No. 4 of 2013 ("POPIA") in South Africa, as well as data protection laws applicable in India and other jurisdictions where your data may be processed.

1. Purpose of Data Collection
2. The personal data you provide will be used by Austell Pharmaceuticals (Pty) Ltd (hereafter referred to as "the Company") solely for the purpose of recruitment and selection processes. This includes evaluating your qualifications, experience, and suitability for the role(s) for which you have applied.
3. Consent for Cross-Border Data Transfer
4. You acknowledge that, as part of the recruitment process, your personal data may be stored, processed, or transferred to countries outside South Africa, including India, and to third-party platforms or services (including open-source selection platforms) used by the Company to manage applications. These data transfers may involve processing activities by third-party service providers located in jurisdictions that may have data protection laws different from those in South Africa or India.
5. Data Security
6. The Company commits to taking reasonable technical and organizational measures to ensure the security of your personal data, including the prevention of unauthorized access, loss, or misuse. The Company will ensure that third-party service providers also implement adequate data security measures.
7. Right to Withdraw Consent
8. You have the right to withdraw your consent at any time. However, please note that such withdrawal may affect your participation in the recruitment process, and the Company may not be able to consider your application further if you withdraw consent.
9. Data Retention
10. Your personal data will be retained only for as long as necessary to fulfill the recruitment process. If you are not selected for the position, your data will be securely deleted or anonymized, unless you have consented to being contacted for future opportunities.
11. Data Access and Correction
12. You have the right to request access to your personal data, as well as the ability to correct any inaccuracies. Please contact the Company’s HR or Data Protection Officer to exercise these rights.
13. Compliance with Data Protection Laws
14. By submitting your application, you confirm that you have read and understood this disclaimer and consent to the collection, use, and processing of your data in accordance with the applicable data protection laws, including POPIA and Indian Data Security Regulations.
15. Contact Information
16. If you have any questions regarding this data processing or would like to exercise your data protection rights, please contact the Company’s Data Protection Officer.

Candidates should be afforded a period of 24 hours from receipt of our communication to formally withdraw their consent. Should no objection be received within this timeframe, it will be deemed that consent has been granted.