Clinical AI ML

Actalent; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Actalent is seeking a Clinical AI / Machine Learning Engineer in Bengaluru to design, build, deploy, and maintain production‑grade AI systems for clinical use. You will work on multi‑agent architectures, autonomous agents, and fine‑tuning pipelines that support safe, scalable clinical AI products.

The role requires hands‑on experience with large language models, tool usage, and self‑correction capabilities, plus collaboration with cross‑functional teams to translate clinical requirements into

Qualifications

• 8+ years hands‑on AI/ML engineering experience in production systems.
• Experience delivering autonomous AI agents operating on real data with self‑correction.
• Proven embedding of at least two LLMs into production software.
• Expertise in fine‑tuning techniques: LoRA/QLoRA/PEFT and domain adaptation.

Responsibilities

• Design, build, and maintain production‑grade AI/ML systems for clinical use cases.
• Develop and deploy autonomous AI agent systems with tool usage and self‑correction.
• Integrate two or more LLMs (Gemini, GPT‑4, Llama, Mistral, etc.) into production.
• Implement fine‑tuning workflows and domain adaptation for clinical models.
• Design LLM evaluation pipelines and monitor model performance.
• Architect multi‑agent systems with orchestrator–worker patterns and tool loops.
• Collaborate with stakeholders to translate clinical needs into AI specs.
• Ensure robustness, safety, and maintainability of production AI systems.
• Document architectures, decisions, and procedures for knowledge sharing.
• Contribute to AI engineering practices and tooling improvements.

Skills

AI/ML engineering

Autonomous AI agents

LLM integration

Fine-tuning (LoRA/QLoRA/PEFT)

Multi-agent systems

Production deployment

Clinical AI experience

Strong communication

Tools

LoRA

QLoRA

PEFT

Instruction tuning

Job description

Job Title: Clinical AI / Machine Learning Engineer

This role focuses on designing, building, deploying, and maintaining advanced AI and machine learning systems for clinical applications. The ideal candidate brings deep hands‑on engineering experience, particularly with large language models and autonomous AI agents, and can translate complex clinical requirements into robust, production‑grade AI solutions. You will work on cutting‑edge multi‑agent architectures, fine‑tuning pipelines, and evaluation frameworks that support safe, reliable, and scalable clinical AI products.

Responsibilities

• Design, build, and maintain production‑grade AI and machine learning systems tailored to clinical use cases.
• Develop and deploy autonomous AI agent systems that operate on real‑world clinical data, including tool usage and self‑correction capabilities.
• Integrate at least two large language models (such as Gemini, GPT-4, Llama, Mistral, or equivalent) into production software environments.
• Implement fine‑tuning workflows, including LoRA, QLoRA, PEFT, instruction tuning, and domain adaptation for clinical AI models.
• Design and manage LLM evaluation pipelines, including benchmark design and continuous performance monitoring for clinical scenarios.
• Architect and implement multi‑agent systems using orchestrator–worker patterns, tool‑calling loops, and self‑correcting agent pipelines.
• Collaborate with cross‑functional stakeholders to translate clinical and business requirements into AI engineering specifications and solutions.
• Ensure robustness, reliability, and safety of AI systems in production, including monitoring, troubleshooting, and iterative improvement.
• Document system architectures, design decisions, and operational procedures to support maintainability and knowledge sharing.
• Contribute to continuous improvement of AI engineering practices, tools, and frameworks within the team.

Essential Skills

• At least 8 years of hands‑on AI and machine learning engineering experience focused on building, deploying, and maintaining AI systems in production (not solely data science or research).
• Proven experience delivering at least one autonomous AI agent system that operates on real data and uses tools with self‑correction capabilities.
• Demonstrated experience integrating at least two large language models (for example, Gemini, GPT-4, Llama, Mistral, or equivalent) into production software.
• Strong expertise in fine‑tuning techniques, including LoRA, QLoRA, PEFT, instruction tuning, and domain adaptation for LLMs.
• Experience designing and implementing LLM evaluation pipelines and benchmarks to measure and improve model performance.
• Hands‑on experience architecting multi‑agent systems, including orchestrator–worker patterns, tool‑calling loops, and self‑correcting agent pipelines.
• Solid software engineering skills for AI/ML, including production deployment, monitoring, and maintenance of AI systems.
• Background in clinical AI or experience applying AI/ML techniques in clinical or healthcare‑related contexts.

Additional Skills & Qualifications

• Experience with clinical AI and machine learning solutions, including familiarity with clinical data and workflows.
• Understanding of best practices for safe, reliable, and responsible deployment of LLMs in sensitive domains such as healthcare.
• Ability to design and refine benchmarks that reflect real‑world clinical performance requirements.
• Strong communication skills to explain complex AI systems to technical and non‑technical stakeholders.
• Collaborative mindset and ability to work effectively in cross‑functional teams.

Work Environment

You will work in an environment focused on advanced clinical AI and machine learning, with a strong emphasis on production‑grade systems and real‑world impact. The role involves close collaboration with other engineers and stakeholders to design and deploy AI solutions that integrate large language models and autonomous agents into clinical workflows. You can expect to work with modern AI/ML tools and technologies, including LLM fine‑tuning methods, multi‑agent architectures, and evaluation pipelines tailored for clinical applications.

Diversity, Equity & Inclusion

• Hiring diverse talent
• Maintaining an inclusive environment through persistent self‑reflection
• Building a culture of care, engagement, and recognition with clear outcomes
• Ensuring growth opportunities for our people

Actalent is an equal opportunity employer.

About Actalent

Actalent is a global leader in engineering and sciences services. For more than 40 years, we’ve helped visionary companies advance their goals. Headquartered in the United States, our teams span 150 offices across North America, EMEA, and APAC—with four delivery centers in India led by 1,000+ extraordinary employees who connect their passion with purpose every day. Our Bangalore, Hyderabad, Pune, and Chennai delivery centers are hubs of engineering expertise, with core capabilities in mechanical and electrical engineering, systems and software, and manufacturing engineering. Our teams deliver work across multiple industries including transportation, consumer and industrial products, and life sciences. We serve more than 4,500 clients, including many Fortune 500 brands. Learn more about how we can work together at actalentservices.com.