Amgen Technology Pvt Ltd. Posted May 18, 2026

Senior Associate, Agents/Chatbots IC

Hyderabad, India Full time
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Amgen Technology Pvt Ltd. is the source of truth for this posting and owns the application process. We surface normalized context and market comparison you won't find on the original listing.

About this opportunity

Career Category

Engineering

Job Description

Machine Learning Engineer

Role Name: Machine Learning Engineer

Department Name: AI & Data Science

Role GCF: 4 a

Hiring Manager Name: Valentine Fontama

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.

ABOUT THE ROLE

Role Description:

We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines.

Roles & Responsibilities:

Collaborate with data scientists to develop, train, and evaluate machine learning models.

Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.

Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.

Implement DevOps/ MLOps best practices to automate ML workflows and improve efficiency.

Develop and implement monitoring systems to track model performance and identify issues.

Conduct A/B testing and experimentation to optimize model performance.

Work closely with data scientists, engineers, and product teams to deliver ML solutions.

Stay updated with the latest trends and advancements

Must-Have Skills:

Solid foundation in machine learning algorithms and techniques

Experience in MLOps practices and tools (e.g., MLflow , Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch , Scikit-learn)

Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and interpersonal skills

Good-to-Have Skills:

Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing

Experience with data engineering and pipeline development

Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification

Knowledge of NLP techniques for text analysis and sentiment analysis

Experience in analyzing time-series data for forecasting and trend analysis

Education and Professional Certifications

Master’s degree with 5 + years of experience in Computer Science, IT or related field

OR

Bachelor’s degree with 7 - 9 + years of experience in Computer Science, IT or related field

Certifications on GenAI /ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus.

Soft Skills:

Excellent analytical and troubleshooting skills.

Strong verbal and written communication skills

Ability to work effectively with global, virtual teams

High degree of initiative and self-motivation.

Ability to manage multiple priorities successfully.

Team-oriented, with a focus on achieving team goals.

Ability to learn quickly, be organized and detail oriented.

Strong presentation and public speaking skills.

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation .

Apply now for a career that defies imagination

Objects in your future are closer than they appear. Join us.

careers.amgen.com

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease .

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Job details

Seniority
Senior
Function
Information Technology
Therapeutic area
Not listed
Location
Hyderabad, India
Employment type
Full time

How this role compares

Computed from every other active Information Technology role in our database, not just this employer's listings.

We currently track 397 comparable Senior Information Technology roles across 44 biopharma companies.

397Comparable roles tracked
368Currently active
44Companies hiring similar roles
25Countries represented

Salary context

52 of 397 peers report a salary range (USD, annualized)

Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.

This roleSubject Not listed on this posting
Highest disclosed · Sr. AI Science Lead · Lilly $259,500/yr – $380,600/yr
Peer group range $98,050 – $320,050 (median $184,125)

Where these roles are based

Top locations among the 397 comparable roles

India194
United States103
Spain28
Poland18
Portugal8
Greece6

+ 19 more countries

Seniority mix

397 of 397 peers have a known seniority level

Senior290
Principal58
Associate Director49

Therapeutic area mix

1 of 397 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Vaccines & Infectious Disease1

Similar opportunities

The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.

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Notify me about similar jobs

Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.

How we calculate "similar"

No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.

Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

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Unmatched or unknown dimensions score exactly the same: 0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.