Senior AI/ML Engineer
Bangalore
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
Full-time — employment source
Employment type Full-time
Read the full posting
Tools in this posting
- Python
- AWS
- Azure
- Docker
- MLflow
- NumPy
- pandas
- Databricks
- scikit-learn
- PyTorch
- TensorFlow
- Huggingface
Source — Tool mentions in context
- At least 7 years of experience in AI/ML engineering. - Proficient in Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow, LangChain, Hugging Face). - Experience building and deploying machine learning models in production.
- Conduct technical reviews and provide mentoring to junior AI team members. - Collaborate with DevOps and cloud teams to deploy models on AWS/Azure. - Present technical concepts and outcomes to internal stakeholders and client teams.
- Exposure to LLMs, transformers, and retrieval-augmented generation (RAG) techniques. - Experience working with cloud environments (AWS, Azure preferred, Databricks). - Excellent communication skills with the ability to explain complex technical ideas to non-technical stakeholders.
- Experience building and deploying machine learning models in production. - Strong understanding of MLOps tools and practices (e.g., MLflow, Docker, Git, CI/CD). - Exposure to LLMs, transformers, and retrieval-augmented generation (RAG) techniques.
Job description
Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices.
Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes.
You will play a key role in designing, developing, and deploying AI solutions tailored to pharmaceutical clients. You will collaborate with cross-functional teams including data scientists, business consultants, and software developers to translate complex life sciences challenges into AI-driven innovations
We'll trust you to:
- Design and implement AI/ML pipelines that solve real-world problems in life sciences (e.g., territory alignment, rep scheduling, patient segmentation, incentive compensation optimization).
- Work closely with domain consultants to understand client requirements and develop tailored AI solutions.
- Lead efforts in data ingestion, feature engineering, and model development across structured and unstructured data sources (e.g., sales data, KOL feedback, medical claims).
- Build and deploy scalable AI services and LLM-based copilots (e.g., for field force, MSLs, or commercial analytics teams).
- Implement GenAI and Agentic AI frameworks for commercial automation.
- Conduct technical reviews and provide mentoring to junior AI team members.
- Collaborate with DevOps and cloud teams to deploy models on AWS/Azure.
- Present technical concepts and outcomes to internal stakeholders and client teams.
You'll need to have:
- At least 7 years of experience in AI/ML engineering.
- Proficient in Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow, LangChain, Hugging Face).
- Experience building and deploying machine learning models in production.
- Strong understanding of MLOps tools and practices (e.g., MLflow, Docker, Git, CI/CD).
- Exposure to LLMs, transformers, and retrieval-augmented generation (RAG) techniques.
- Experience working with cloud environments (AWS, Azure preferred, Databricks).
- Excellent communication skills with the ability to explain complex technical ideas to non-technical stakeholders.
- Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field.
At Beghou Consulting, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact!
Employment type
Full-time
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bangalore
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- Work authorization
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- Status in our records
- Active
- First seen by us
- May 6, 2026
- Recorded sightings
- 121
- Last seen by us
- Oct 7, 2026
- Employer says posted
- Aug 21, 2025
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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