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Urgent! Life Sciences AI Solution Architect Job Opening In India, India – Now Hiring Coforge
Title:
Life Sciences AI Solution Architect
Experience Required:
15+ Years
Location:
Greater Noida, 5 days work from office
Role Summary:
We are seeking a highly experienced
Life Sciences AI Solution Architect
with deep expertise in
AI/ML solutioning and architecture
within the
pharmaceutical and biotech domains .
The ideal candidate will have a strong understanding of
pharma data , relevant
regulatory frameworks , and hands-on experience in designing and deploying AI/ML solutions across the
life sciences value chain —including
R&D, manufacturing, supply chain, commercial operations, and patient safety .
This role demands strategic thinking, technical leadership, and cross-functional collaboration to drive innovation and transformation.
Key Responsibilities:
Design and architect
end-to-end AI/ML solutions
for pharma/biotech use cases.
Apply
MLOps methodologies
for efficient model development, deployment, and monitoring.
Leverage
Cognitive AI techniques
such as NLP, Computer Vision, Speech, and Conversational AI.
Develop and implement
Document AI
and
Generative AI
solutions, including custom LLMs.
Ensure seamless integration of AI solutions into
cloud platforms
(AWS, Azure, GCP).
Deliver and maintain
production-grade ML systems
with high scalability and reliability.
Provide
technical leadership and mentorship
to AI/ML teams.
Collaborate with data scientists, ML engineers, and business stakeholders to transition prototypes to production.
Prepare comprehensive documentation for architecture, design, and implementation.
Stay current with emerging trends in
AI, LLMs, MLOps , and
life sciences technologies .
Mandatory Skills:
8+ years in AI/ML , with
3+ years in life sciences AI
(pharma/biotech).
Proven experience in
AI, ML, MLOps, Text Analytics, Generative AI .
Strong programming skills in
Python and Java .
Experience with ML frameworks:
TensorFlow, PyTorch, Keras, Scikit-learn .
Hands-on with cloud platforms:
AWS, Azure, GCP .
Proficient in ML architectures:
Ensemble Models, SVM, CNN, RNN, Transformers .
NLP tools:
NLTK, SpaCy, Gensim .
MLOps tools:
Kubeflow, MLflow, Azure ML .
Experience in
Responsible AI ,
LangChain , and
Vector Databases .
Workflow tools:
Airflow .
Microservices architecture and API development using
FastAPI, Flask, Django .
Database expertise:
SQL, NoSQL (MongoDB, Postgres, Neo4j) .
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Unlock Your Life Sciences Potential: Insight & Career Growth Guide
Real-time Life Sciences Jobs Trends in India, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Life Sciences in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 6514 jobs in India and 425 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in Life Sciences roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Coforge is currently hiring and seeking a Life Sciences AI Solution Architect to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Life Sciences AI Solution Architect Jobs India.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Coforge adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Life Sciences AI Solution Architect Jobs India varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Life Sciences AI Solution Architect typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Life Sciences AI Solution Architect interview at Coforge, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Coforge's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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