Information Technology
Senior ML Engineer
Address: Bengaluru, Bengaluru, Karnātaka, 560066, India
Job ID: R0254272
Location Type: Hybrid
Information Technology
Address: Bengaluru, Bengaluru, Karnātaka, 560066, India
Job ID: R0254272
Location Type: Hybrid
As a Clinic Manager at Fresenius Medical Care, you’ll manage the daily operations of our outpatient centers. More importantly, you’ll be the key driver in carrying out our mission: To deliver superior care that improves the quality of life of every patient, every day, setting the standard by which others in the health care industry are judged. This is accomplished by hiring, developing and inspiring a multi-disciplinary team, collaborating with physicians, tracking and delivering superior patient outcomes and monitoring regulatory and safety requirements. Strong management skills are required and prior direct patient care experience is needed for occasions when the team needs a helping hand.
Patient Care Technicians (PCTs) at Fresenius Medical Care support and collaborate with RNs to provide dialysis treatment to several patients at a time while maintaining the functionality of the clinic. This involves prepping and testing equipment, reviewing treatment sheets, and opening the clinic at 4am for first shift. PCTs have a combination of technical skills and genuine passion needed to develop deep relationships with patients and improve their quality of life. Qualified candidates have prior customer service, healthcare and direct patient care experience, and will have the opportunity to learn the discipline of dialysis.
Fresenius Medical Care nurses are on the front line of patient care, improving the quality of life of every patient, every day. That means providing dialysis care to 10-12 patients at any given time, and collaborating with our multi-disciplinary team to deliver a unique care plan to each one of them. This role is all about relationships and the bond you’ll create with patients and their families. Prior dialysis nursing experience is helpful, but many successful candidates come from a background in ICU, PCU and/or surgery.
Inpatient RNs at Fresenius Medical Care perform dialysis treatments on an acute patient population in a hospital setting, including ICU, ER, Rehab, and Med/Surg units. What makes this role truly unique is the level of autonomy you’ll enjoy. Inpatient nurses are specifically accountable for administering and assessing each patient’s treatment plan. And because dialysis is a critical treatment for many hospital procedures and health conditions, you’ll have the opportunity to work with a wide variety of patients. Ideal candidates possess leadership skills and independence needed to make quick decisions in a fast-paced environment. Must be capable of educating patients and providing exceptional customer service to our partners. Six months to one year of dialysis experience or some form of critical care nursing experience are also required.
ML Engineer – Job Description
PURPOSE AND SCOPE
Design, build, and scale machine learning systems that enable advanced analytics, predictive modeling, and data-driven decision-making.
Partner with data science, engineering, and business teams to productionize models and embed them into enterprise applications and workflows.
Ensure robust, reliable, and governed ML solutions aligned with enterprise architecture and responsible AI principles.
PRINCIPAL DUTIES AND RESPONSIBILITIES
Develop, deploy, and maintain end-to-end ML pipelines, including data ingestion, feature engineering, model training, and inference at scale.
Collaborate with data scientists to operationalize models and optimize performance, scalability, and cost in production environments.
Monitor and maintain model performance, implementing retraining, versioning, and continuous improvement processes.
EDUCATION
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, or related quantitative field.
Strong academic foundation in machine learning, statistics, and software engineering principles.
Relevant certifications in cloud platforms (AWS, Azure) or data engineering/ML engineering preferred.
EXPERIENCE AND REQUIRED SKILLS
Strong experience building and deploying ML solutions on AWS and Azure, including services such as SageMaker, Azure Machine Learning, and cloud-native data pipelines.
Hands-on expertise with Databricks (Spark, Delta Lake) for scalable data processing, feature engineering, and model training in distributed environments.
Proficiency with Azure DevOps and GitHub for source control, CI/CD pipelines, and MLOps practices (model versioning, automated deployment, monitoring).
Experience with ML/AI evaluation frameworks, including defining evaluation metrics, validating model performance (accuracy, drift, bias), and implementing automated evaluation pipelines to ensure model reliability and governance.
What makes a successful member of our team? Check out the top traits we are looking for and see if you have the right mix.
What makes a successful member of our team? Check out the top traits we are looking for and see if you have the right mix.
What makes a successful member of our team? Check out the top traits we are looking for and see if you have the right mix.
What makes a successful member of our team? Check out the top traits we are looking for and see if you have the right mix.
“I successfully completed the RN program and went on to hold the position of Staff RN, Charge Nurse, and finally Clinical Manager.”
“Every day I walk in I am changing lives for the better and working to inspire my patients.”
“I am a member of an outstanding team that helps patients gain more control, achieve tangible goals, and live better lives.”
“My goal is to make sure that our patients keep their mobility and quality of life. This goal is really personal for me. My own father always had really bad vasculature in his leg and never had access to the kind of care we offer — eventually he lost blood flow and mobility. Knowing what he went through makes me even more committed to our mission.”
We fully believe that dedication and passion should be recognized and rewarded. That’s why we offer a competitive compensation and benefits package to all of our employees. Our benefits provide the flexibility, choice and support you need to be at your best as you play a vital part in helping patients live longer, better and healthier lives.
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