Machine Learning Senior Analyst at Evernorth — Evernorth Health S | Tech Job

📋 Job Details at a Glance 📍 Location Hyderabad, India 🏢 Company Evernorth Health Services 👥 Experience 3-5 years 🎓 Qualification 4–5 years. Hands-on with Python, AWS, GCP, Azure, APIs, TensorFlow, PyTorch, AI / LLM agents. Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python AWS GCP Azure APIs TensorFlow PyTorch Machine Learning Senior Analyst at Evernorth Health Services — Full Details & How to Apply Evernorth Health Services is seeking a Machine Learning Senior Analyst in Hyderabad, India . This role involves developing machine learning models to solve healthcare business problems, making it a pivotal position in the healthcare technology sector. The demand for skilled professionals in machine learning is surging, particularly in healthcare, where AI solutions can significantly enhance patient outcomes. As a Machine Learning Senior Analyst , you will be at the forefront of this transformation, leveraging your expertise to create innovative solutions that address pressing healthcare challenges. What sets Evernorth Health Services apart is its commitment to innovation, having established its Hyderabad hub in 2024 as a center for developing cutting-edge healthcare solutions. This focus on technology and healthcare integration makes Evernorth Health Services a compelling employer for those looking to contribute to the industry. We encourage applications from candidates who are 2023, 2024, 2025, 2026 graduates with a 4–5 years technical background, particularly those who are hands-on with Python, AWS, GCP, Azure, APIs, TensorFlow, PyTorch, AI / LLM agents . This role requires 3-5 years experience , and while the salary is Not Disclosed , the opportunity for growth is substantial. In this role, you will gain hands-on experience with essential technologies such as Python , AWS , GCP , Azure , TensorFlow , and PyTorch . This experience not only enhances your technical skill set but also opens doors to advanced career opportunities in machine learning and AI, positioning you for future leadership roles in the tech industry. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The Machine Learning Senior Analyst at Evernorth Health Services will develop innovative machine learning models to address complex healthcare challenges, leveraging advanced technologies to enhance patient outcomes. Develop and implement machine learning models using Python to solve specific business problems in healthcare. Conduct data preprocessing and feature engineering as part of AI/ML pipelines, utilizing TensorFlow and PyTorch for model evaluation. Collaborate with engineering and product teams to gather requirements and deliver integrated ML solutions that meet business needs. Support the development of AI solutions that comply with privacy and security standards, ensuring responsible AI practices. Assist in building and integrating ML solutions with APIs to enhance application functionality and user experience. Document processes and support reporting efforts to improve AI/ML workflows, ensuring clarity and efficiency. Troubleshoot and resolve issues related to machine learning models deployed in production environments, maintaining operational integrity. This role fosters an ownership culture, allowing you to make a direct impact on healthcare solutions through innovative machine learning applications. Required Skills & Technical Competencies The ideal candidate will possess a robust skill profile in machine learning technologies, essential for developing effective solutions in healthcare. Technical Skills Python — advanced — utilized for coding and developing machine learning models to address healthcare challenges. AWS — intermediate — employed for deploying scalable machine learning solutions in cloud environments. GCP — intermediate — used for managing and deploying machine learning applications efficiently in the cloud. Azure — intermediate — leveraged for cloud-based deployment of machine learning models, ensuring scalability. TensorFlow — advanced — applied for building and training machine learning models central to healthcare solutions. PyTorch — advanced — utilized for developing and evaluating machine learning models within AI/ML pipelines. When showcasing these technical skills in your resume or interview, emphasize specific projects or outcomes that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for candidates with a strong technical background in machine learning and relevant experience in healthcare technology. Degree in a relevant technical or engineering field. Eligible batches include 2023 , 2024 , 2025 , and 2026 . Experience of 3-5 years in machine learning and related technologies. Hands-on experience with Python , AWS , GCP , Azure , TensorFlow , and PyTorch . Portfolio showcasing relevant projects in machine learning is highly recommended. Documentation & Portfolio Requirements Submit your resume in PDF format, including a summary of relevant projects, technologies used, and outcomes achieved in machine learning. Pro tip: Highlight specific metrics or results from your projects to demonstrate the tangible impact of your work in machine learning applications. Salary for Machine Learning Senior Analyst at Evernorth Health Services 💰 Compensation Not Disclosed The advertised compensation for the Machine Learning Senior Analyst role at Evernorth Health Services is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Machine Learning Senior Analyst Upskilling with the right resources significantly enhances your chances of selection for this role by ensuring you meet the technical requirements. Recommended Courses & Resources Python — Mastering Python is essential for implementing machine learning algorithms effectively. AWS — Familiarity with AWS services is crucial for deploying machine learning models in the cloud. GCP — Understanding Google Cloud Platform helps in leveraging its machine learning tools and services. Azure — Knowledge of Azure is beneficial for integrating machine learning solutions within Microsoft’s ecosystem. KodNest — This course provides hands-on experience with machine learning projects, enhancing practical skills. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience in Python — Ensure to provide specific examples. ❌ Using a generic resume — Tailor it to the responsibilities outlined in the job description. ❌ Listing technologies like TensorFlow or PyTorch without context — Provide context on where they were applied in your experience. ❌ Ignoring the experience requirement of 3-5 years — This is critical for eligibility. ❌ Adding unrelated technologies or unsupported claims — This may backfire. ❌ Not verifying the official Apply URL — Always check before submission to avoid errors. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Machine Learning Senior Analyst Optimizing your resume for ATS is crucial for ensuring it passes initial screenings and reaches hiring managers. ATS Keywords to Include Machine Learning Python AWS GCP Azure TensorFlow PyTorch APIs Data Preprocessing Feature Engineering Model Evaluation AI Solutions Resume Tips for This Role Highlight your experience with Python, as it is a crucial skill for this role. Emphasize familiarity with AWS, GCP, and Azure, showcasing any relevant projects or experiences. Include projects that involved TensorFlow or PyTorch, demonstrating your hands-on experience with these technologies. Use exact keywords from the job description naturally in your resume to align with ATS requirements. Avoid including unsupported claims or technologies that you cannot substantiate with experience. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated experiences or unsupported claims that may dilute your qualifications for this role. How to Apply for Machine Learning Senior Analyst at Evernorth Health Services Apply Now — Evernorth Health Services Open the supplied official Apply URL and confirm the job title and company. Prepare a resume aligned with the supplied skills, responsibilities, qualification, and experience requirement. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if the portal provides one. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — Evernorth Health Services NexisGrow.com does not charge any fees for job applications. Evernorth Health Services Evernorth Health Services was established in 2024 in Hyderabad, India . The company is part of a larger network that aims to innovate healthcare solutions globally. With a focus on technology-driven services, Evernorth is positioned to expand its footprint in the healthcare sector, leveraging advanced analytics and machine learning. The core offerings of Evernorth Health Services include cutting-edge platforms that utilize TensorFlow and PyTorch for machine learning applications. Additionally, the company integrates cloud solutions through AWS , GCP , and Azure to enhance healthcare delivery. These technologies enable the development of robust healthcare solutions tailored to meet diverse patient needs. Evernorth Health Services fosters a collaborative culture, encouraging teamwork across engineering, product, and data teams. The company promotes employee development through various training programs and initiatives. While specific awards are not mentioned, the focus on innovation and employee engagement is evident in its operational ethos. As of now, Evernorth Health Services is actively pursuing expansion in the Indian market, with plans to enhance its technological capabilities. The company is also exploring partnerships to further its reach in healthcare innovation. These initiatives reflect a commitment to leveraging technology for improved healthcare outcomes. For freshers in technology, Evernorth Health Services offers a unique career launchpad. The opportunity to work with advanced technologies like TensorFlow and APIs provides invaluable hands-on experience. Collaborating with cross-functional teams allows new employees to gain insights into various aspects of healthcare technology, setting a strong foundation for their careers. Company Details Industry Technology Location Hyderabad, India Connect With Us Careers Apply Now Website 🔗 cigna.wd5.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Machine Learning Senior Analyst at Evernorth Health Services? Eligibility Tap to expand + Answer Candidates with 4–5 years. Hands-on with Python, AWS, GCP, Azure, APIs, TensorFlow, PyTorch, AI / LLM agents. Relevant technical / engineering background and 3-5 years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, AWS, GCP, Azure, APIs. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: Not Disclosed. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Evernorth Health Services? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, AWS, GCP, Azure, APIs. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Machine Learning Senior Analyst interview? Preparation Tap to expand + Answer (1) Core concepts of Python, AWS, GCP, Azure, APIs, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Evernorth Health Services research, (5) Clear communication. ? What is the work culture like at Evernorth Health Services? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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