AI/ML Engineer II (Remote - India)

Jobgether
Full-time
On-site

This position is posted by Jobgether on behalf of Precision Medicine Group. We are currently looking for an AI/ML Engineer II in India.

Join a forward-thinking team where you’ll help shape the future of AI and ML in real-world applications, especially within the healthcare sector. In this role, you’ll design, develop, and scale machine learning models, including Large Language Models (LLMs) and Generative AI. You'll work closely with product, data science, and engineering teams to bring AI-powered innovations into production. The environment is collaborative, cutting-edge, and focused on delivering measurable business impact using state-of-the-art technologies.

Accountabilities:

  • Design, develop, optimize, and deploy machine learning and deep learning models, including LLMs and Generative AI systems.
  • Implement scalable AI solutions that seamlessly integrate into existing platforms and infrastructure.
  • Fine-tune AI models using large-scale datasets to meet business and performance goals.
  • Collaborate with cross-functional teams to ensure alignment of technical solutions with strategic objectives.
  • Work extensively with healthcare and claims data to build high-performance ML workflows.
  • Maintain and improve MLOps pipelines for model training, deployment, and monitoring.
  • Troubleshoot production-level model issues and proactively resolve performance bottlenecks.
  • Document processes, methodologies, and best practices to support team knowledge sharing and operational continuity.
  • Stay up-to-date with industry trends, research breakthroughs, and AI/ML advancements.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
  • Minimum 3 years of hands-on experience in AI/ML engineering, delivering models into production.
  • Strong proficiency in Python, R, SQL, and working with ML/NLP frameworks.
  • Solid understanding of machine learning, deep learning, and NLP concepts.
  • Experience with fine-tuning and evaluating Generative AI models.
  • Familiarity with data processing, augmentation, and synthetic data generation.
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP), Docker, and Kubernetes.
  • Strong problem-solving skills, with the ability to design novel AI solutions in complex scenarios.
  • Excellent communication and collaboration skills, with a track record of working across multidisciplinary teams.
  • Demonstrated ability to lead projects with minimal supervision, synthesize complex information, and drive strategic value.

Benefits

  • Competitive salary based on experience and market standards.
  • Flexible work arrangements including remote or hybrid options.
  • Comprehensive health insurance and wellness programs.
  • Continuous learning opportunities through training and certifications.
  • Opportunity to work on impactful AI/ML projects in healthcare and life sciences.
  • Supportive and inclusive team environment with a culture of innovation.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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