{"id":4213104,"url":"https://alion.io/job/carelon-global-solutions-tech-lead-iii","title":"Tech Lead III","company":{"id":4527289,"name":"Carelon Global Solutions","domain":"carelonglobal.in","url":"https://alion.io/company/carelon-global-solutions","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"on_site","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":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Distillation","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Rust","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Search","optional":false},{"name":"Sentiment Analysis","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-11-13T01:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-13T01:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Job Purpose:\n\nCarelon Global Solutions India is seeking a Tech Lead III with a US healthcare background with 10-14 years of programming experience in Python, Gen AI, ML, LLM, and CI/CD.\n\nJob Responsibility:\nCollaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization.\nDesign and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models.\nDebug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements.\nDesign and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment.\nEngage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development.\nResearch and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs.\nCollaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling.\nStay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function.\nContribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and deployment.\n\nQualification:\n\nB.E./B.Tech in Computer Science, IT, Engineering\n\nExperience:\n\n10 to 14 years of programming experience\n\nSkills and Competencies:\nAdvanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow).\nExtensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques.\nSoftware engineering and development: advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing.\nLLM infrastructure and deployment: proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management.\nCloud and infrastructure: strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems.\nLLM project experience: expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security.\nGeneral skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP.\nStrong mathematical foundation in statistics, probability, linear algebra, and optimization.\nDeep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation.\nExpertise in feature engineering, embedding optimization, and dimensionality reduction.\nAdvanced knowledge of A/B testing, experimental design, and statistical hypothesis testing.\nExperience with RAG systems, vector databases, and semantic search implementation.\nProficiency in LLM optimization techniques including quantization and knowledge distillation.\nUnderstanding of MLOps practices for model deployment and monitoring.\nStrong analytical thinking with the ability to solve complex ML challenges.\nExcellent communication skills for presenting technical findings to diverse audiences.\nExperience translating business requirements into data science solutions.\nProject management skills for coordinating ML experiments and deployments.\nStrong collaboration abilities for working with cross-functional teams.\nDedication to staying current with the latest ML research and best practices.\nAbility to mentor and share knowledge with team members.\nSkills\nLLM, ML, Machine Learning, Python","description_format":"text","description_chars":3945,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Care"],"lifecycle":[{"event":"open","at":"2026-11-13T01:35:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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