{"id":643296,"url":"https://alion.io/job/beghou-consulting-senior-aiml-engineer","title":"Senior AI/ML Engineer","company":{"id":3752,"name":"Beghou Consulting","domain":"beghouconsulting.com","url":"https://alion.io/company/beghou-consulting","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":94,"open_postings":38,"ghost_share":0,"stale_share":0.053,"repost_share":0,"time_to_fill_p50_days":109,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":36000,"max_usd":75000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2025-08-21T15:01:18Z","employer_posted_date":"2025-08-21","last_verified_at":"2026-10-24T00:30:21Z","board_verified":true,"closed_at":null,"days_open":428,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":427},"description":"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\nWe'll trust you to:\nDesign and implement AI/ML pipelines that solve real-world problems in life sciences (e.g., territory alignment, rep scheduling, patient segmentation, incentive compensation optimization).\nWork closely with domain consultants to understand client requirements and develop tailored AI solutions.\nLead efforts in data ingestion, feature engineering, and model development across structured and unstructured data sources (e.g., sales data, KOL feedback, medical claims).\nBuild and deploy scalable AI services and LLM-based copilots (e.g., for field force, MSLs, or commercial analytics teams).\nImplement GenAI and Agentic AI frameworks for commercial automation.\nConduct technical reviews and provide mentoring to junior AI team members.\nCollaborate with DevOps and cloud teams to deploy models on AWS/Azure.\nPresent technical concepts and outcomes to internal stakeholders and client teams.\nYou'll need to have:\nAt least 7 years of experience in AI/ML engineering.\nProficient in Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow, LangChain, Hugging Face).\nExperience building and deploying machine learning models in production.\nStrong understanding of MLOps tools and practices (e.g., MLflow, Docker, Git, CI/CD).\nExposure to LLMs, transformers, and retrieval-augmented generation (RAG) techniques.\nExperience working with cloud environments (AWS, Azure preferred, Databricks).\nExcellent communication skills with the ability to explain complex technical ideas to non-technical stakeholders.\nBachelor's/Master's in Computer Science, Data Science, Engineering, or related 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