{"id":1279488,"url":"https://alion.io/job/durus-consulting-senior-aiml-engineer","title":"Senior AI/ML Engineer","company":{"id":3801633,"name":"Durus Consulting","domain":"durusconsulting.com","url":"https://alion.io/company/durus-consulting","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India","Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Mistral","optional":false},{"name":"NLP","optional":false},{"name":"PEFT","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"SFT","optional":false},{"name":"Transformers","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"FAISS","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Milvus","optional":true},{"name":"Multimodal AI","optional":true},{"name":"OpenAI","optional":true},{"name":"Pinecone","optional":true},{"name":"Vertex AI","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-08-24T04:42:34Z","employer_posted_date":null,"last_verified_at":"2026-08-24T04:42:34Z","board_verified":false,"closed_at":null,"days_open":39,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":39},"description":"We are looking for a Senior AI/ML Engineer specializing in NLP and Generative AI to design, develop, and deploy production-grade AI solutions. The role combines hands-on AI/ML engineering, LLM application development, model customization, and client-facing problem solving.\n\nKey Responsibilities : \n\n- Design, develop, and deploy Generative AI and NLP applications using LLMs such as GPT, LLaMA, Mistral, and equivalent models.\n\n- Build production-ready AI solutions for complex business use cases across different industries.\n\n- Fine-tune and customize LLMs using LoRA, PEFT, supervised fine-tuning, prompt engineering, and other relevant techniques.\n\n- Develop RAG-based applications, leveraging embeddings, vector search, document processing, and knowledge retrieval.\n\n- Build and optimize NLP and machine learning models for classification, information extraction, summarization, text generation, semantic search, and related use cases.\n\n- Evaluate model quality, accuracy, latency, cost, and reliability and implement continuous improvements.\n\n- Work with large datasets to identify patterns, generate insights, and develop data-driven solutions.\n\n- Develop reusable AI components, pipelines, and services for scalable enterprise deployment.\n\n- Collaborate with Consulting, Engineering, Data Science, Product, and other teams to translate business requirements into technical solutions.\n\n- Work directly with clients to understand business challenges, define AI solution approaches, and communicate technical recommendations.\n\n- Stay current with advances in LLMs, NLP, agentic AI, model optimization, and AI engineering and evaluate their applicability to business problems.\n\n- Ensure solutions meet appropriate standards for security, privacy, responsible AI, scalability, and production readiness.\n\nRequired Skills : \n\n- 6+ years of experience in AI/ML, Data Science, NLP, or AI Engineering.\n\n- Strong hands-on experience developing and deploying Generative AI and NLP solutions.\n\n- Strong proficiency in Python and experience with frameworks such as PyTorch and Hugging Face Transformers.\n\n- Hands-on experience with LLMs, prompt engineering, RAG, embeddings, and vector databases.\n\n- Practical experience with LLM fine-tuning and model customization, including LoRA and PEFT.\n\n- Strong understanding of NLP and machine learning concepts and model evaluation techniques.\n\n- Experience taking AI/ML models from experimentation through production deployment and operationalization.\n\n- Strong analytical and problem-solving skills.\n\n- Ability to translate complex technical concepts into clear business recommendations.\n\n- Strong communication and stakeholder-management skills.\n\nPreferred Skills : \n\n- Experience with LangChain, LlamaIndex, LangGraph, or similar frameworks.\n\n- Experience with Pinecone, FAISS, Weaviate, Milvus, or other vector databases.\n\n- Exposure to AI agents / agentic workflows.\n\n- Experience with AWS Bedrock, Azure OpenAI, Google Vertex AI, or equivalent cloud AI platforms.\n\n- Knowledge of MLOps, model monitoring, Docker, Kubernetes, and CI/CD.\n\n- Experience working in a consulting or client-facing environment.\n\n- Experience with multimodal AI, document intelligence, or AI-powered automation.\nSkills\nMachine Learning, NLP, Generative AI, Python, LLM, Artificial Intelligence, MLOps, LangGraph, LangChain, Prompt Engineering, PyTorch","description_format":"text","description_chars":3369,"description_truncated":false,"requirements":{"experience_years_min":6,"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":[],"lifecycle":[{"event":"open","at":"2026-09-26T02:00:24Z"}],"liveness":{"score":16,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.58,"p_room":0.45,"age_days":39,"expected_fill_days":24,"reasons":["seen:39","win:tail"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/durus-consulting-senior-aiml-engineer","json_url":"https://alion.io/job/durus-consulting-senior-aiml-engineer.json","meta":{"generated_at":"2026-10-03T02:01:21Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2081,"day_limit":5000,"remaining_today":2919,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}