Associate Consultant – AI Engineer
Job Summary
Job Description
Beghou Consulting, a trusted advisor to life science firms for over 30 years, seeks an Associate Consultant – AI Engineer. This role involves designing, developing, and deploying AI solutions for pharmaceutical clients, collaborating with data scientists, business consultants, and software developers. Key responsibilities include building AI/ML pipelines for life sciences challenges such as territory alignment and patient segmentation, leading data ingestion and model development, deploying scalable AI services and LLM-based copilots, implementing GenAI and Agentic AI frameworks, conducting technical reviews, mentoring junior team members, and presenting technical concepts to stakeholders.
Must have:
- 7+ years of AI/ML engineering experience
- 1-2 years in client-facing/consulting role
- Proficient in Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow, LangChain, Hugging Face)
- Experience building/deploying ML models in production
- Strong understanding of MLOps tools (MLflow, Docker, Git, CI/CD)
- Exposure to LLMs, transformers, RAG
- Experience with cloud environments (AWS, Azure preferred, Databricks)
- Excellent communication skills
- Bachelor's/Master's in CS, Data Science, Engineering, or related field
Perks:
- Respect and appreciation for contributions and individuality
- Value diverse talents and abilities
- Supportive, collaborative, and dynamic work environment
- Encourages professional and personal growth
- Opportunity to collaborate and learn from colleagues
- Promotes teamwork and success
17 skills required
Job Details
For over 30 years, Beghou Consulting has been a trusted adviser to life science firms. We combine our strategic consulting services with proprietary technology to develop custom, data-driven solutions that allow life sciences companies to take their commercial operations to new heights. We are dedicated to client service and offer a full suite of consulting and technology services, all rooted in advanced analytics, to enhance commercial operations and boost sales performance.
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:
- 7+ years of experience in AI/ML engineering, with at least 1-2 years in a client-facing or consulting role.
- 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.
What you should know:
- We treat our employees with respect and appreciation for both their contributions and their individuality.
- We value our employees' diverse talents and abilities, fostering a supportive, collaborative, and dynamic work environment that encourages professional and personal growth.
- You will have the opportunity to collaborate with and learn from colleagues at all levels of the organization, promoting teamwork and success in every project.
- We have had steady growth throughout our history because the people we hire are committed not only to delivering quality results for our clients but also to becoming leaders in sales and marketing analytics.
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