AI/ML Engineer II at Precision AQ

, , India -

Full Time

Start Date

Immediate

Expiry Date

07 Jul, 26

Salary

0.0

Posted On

08 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Machine Learning, Deep Learning, Generative AI, Large Language Models, NLP, MLOps, Cloud Computing, Azure, AWS, GCP, Docker, Kubernetes, Data Preprocessing, Model Validation

Industry

Business Consulting and Services

Description

Position Summary: Precision AQ’s Product Solutions team is expanding its AI and machine learning engineering capabilities in India. This role is responsible for designing, developing, deploying, and scaling production-grade AI/ML solutions that directly support Precision AQ products and productized services across oncology access, analytics, and AI-enabled offerings. The AI/ML Engineer operates as a hands-on technical contributor, working closely with product management, engineering, data science, and research teams to translate business problems into robust, scalable AI systems. The role spans model development, optimization, deployment, and operationalization, with a strong emphasis on Generative AI, Large Language Models (LLMs), and applied machine learning in real-world production environments. The successful candidate is technically rigorous, execution-oriented, and comfortable operating in fast-paced, multi-product environments with evolving requirements. Essential functions of the job include but are not limited to: (This is NOT meant to be an exhaustive task list) AI / ML Model Development & Optimization Design, develop, fine-tune, and evaluate machine learning, deep learning, and Generative AI models, including Large Language Models (LLMs). Apply appropriate modeling techniques (supervised, unsupervised, NLP, deep learning) based on problem context and data constraints. Optimize model performance across accuracy, latency, scalability, and cost dimensions. Conduct rigorous model evaluation, validation, and benchmarking using large-scale datasets. Apply data preprocessing, feature engineering, augmentation, and synthetic data generation techniques to improve model robustness. Production Deployment & MLOps Design and implement scalable, production-ready AI solutions integrated into existing platforms and workflows. Build, maintain, and improve MLOps pipelines for model training, deployment, monitoring, and lifecycle management. Deploy and manage AI applications in cloud environments (Azure, AWS, or GCP), including containerization and orchestration where applicable. Monitor model performance in production; identify drift, degradation, or failures and implement remediation strategies. Troubleshoot and resolve AI/ML engineering issues across development and production environments. Cross-Functional Collaboration & Integration Partner with Product Managers, Product Owners, Software Engineers, Data Scientists, and Research teams to align AI solutions with business and product objectives. Translate product requirements and use cases into technical architectures and model designs. Support integration of AI capabilities into customer-facing products and internal platforms. Communicate technical concepts, tradeoffs, and limitations clearly to non-technical stakeholders. Data & Domain Application Work with structured and unstructured datasets, including healthcare, claims, and life sciences data, to build high-performance AI systems. Ensure responsible handling, transformation, and validation of data used for model training and inference. Collaborate with data engineering and QA teams to ensure data pipelines and AI workflows are production-ready and auditable. Technical Excellence & Continuous Improvement Stay current with advances in Generative AI, LLM architectures, model fine-tuning techniques, and applied machine learning. Contribute to internal best practices, standards, and reusable components for AI/ML development. Document AI/ML workflows, architectures, methodologies, and lessons learned for internal knowledge sharing. Proactively identify opportunities to improve scalability, reliability, and efficiency of existing AI systems. Qualifications: BA Degree in Computer Science, Software Engineering, Operations Engineering, Business Management or other related field Minimum Required: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field. Minimum 3+ years of hands-on experience in an AI/ML or data science role delivering production-deployed solutions. Strong proficiency in Python and SQL; experience building scalable ML/NLP workflows. Deep hands-on experience with machine learning, deep learning, and natural language processing. Experience working with Generative AI and Large Language Models, including fine-tuning and evaluation techniques. Working knowledge of data preprocessing, feature engineering, and model validation practices. Experience deploying AI solutions in cloud environments (Azure, AWS, or GCP). Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Preferred: Experience building AI solutions in healthcare, life sciences, analytics, or regulated data Hands-on experience with MLOps frameworks and monitoring strategies. Experience integrating AI models into SaaS products or productized services. Familiarity with distributed systems, APIs, and modern software engineering practices. Exposure to enterprise AI governance, security, or compliance considerations. Competencies: Communication Skills: Written, Verbal, and Presentation: The successful candidate must have the ability to read, analyze, and interpret production data, financial reports, and legal documents. Excellent verbal, written, presentation, interpersonal skills including ability to clearly respond to common inquiries or complaints from customers, employees, and members of the business community. Must possess a rapid agility to reply to emails, provide instructions of work stream necessities or issues encountered, business and report writings in a succinct and informative manner. Business Judgment and Strategic Thinking: Ability to think, act, and deliver value in the best interest of our clients with respect to common practices of the healthcare consulting field. Ability to extrapolate from the specific to the general and interpret from the general to the specific. Analytic Skills: Framing macro problems into action steps or work plans for resolutions. Structuring a persuasive client presentation based on in-depth or expansive excel spreadsheets. Demonstrable interpretive and solution identification skills with the ability to understand multiple types of quantitative and qualitative data heightened with strong resolution skills. Collaboration and Teamwork: Ability to give and receive constructive feedback and work effectively across the organization to accomplish team goals is critical. The successful candidate must possess excellent judgment, management, and conflict resolution skills. Ability to work with team members to convey results, incorporate enhancements and productionize processes across projects. Must be able to understand the dynamics of how a team interconnects and relies upon every member. Strategic Thinking: Conceptualize outside of the aspects of a project at hand, with an ability to visualize how the work contributes to and drives forward the overall project. Solutions oriented: must be able to display resourcefulness and confidence under pressure Resilience: must be able to look past obstacles and roadblocks, ask questions and for support, and find their way around any obstacle. Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

Responsibilities

The AI/ML Engineer will design, develop, and deploy scalable production-grade AI/ML solutions, including Generative AI and LLMs, to support oncology and life sciences products. They will collaborate with cross-functional teams to integrate these models into platforms while maintaining MLOps pipelines and ensuring model performance.