{"id":1272295,"url":"https://alion.io/job/codechavo-global-senior-aiml-engineer","title":"Senior AI/ML Engineer","company":{"id":3800715,"name":"Codechavo Global","domain":"codechavo.com","url":"https://alion.io/company/codechavo-global","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":["Gurgaon, India","Noida, India","India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"Chroma","optional":false},{"name":"Claude","optional":false},{"name":"Databricks","optional":false},{"name":"DeepSpeed","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"GraphRAG","optional":false},{"name":"Hugging Face","optional":false},{"name":"Hybrid Search","optional":false},{"name":"JavaScript","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Langfuse","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"LoRA","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Neo4j","optional":false},{"name":"NER","optional":false},{"name":"NLP","optional":false},{"name":"ONNX Runtime","optional":false},{"name":"OpenAI","optional":false},{"name":"PEFT","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"QLoRA","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"Terraform","optional":false},{"name":"Tool Use","optional":false},{"name":"Transformers","optional":false},{"name":"TypeScript","optional":false},{"name":"vLLM","optional":false},{"name":"Weaviate","optional":false},{"name":"XGBoost","optional":false},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-09-03T05:31:05Z","employer_posted_date":null,"last_verified_at":"2026-09-03T05:31:05Z","board_verified":false,"closed_at":null,"days_open":28,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":28},"description":"Lead Gen AI - AI/ML Engineer\n\nLocation : Bangalore, Noida, Gurgaon\n\nExp : 8+ years\n\nWe are seeking a Senior AI/ML Engineer to design, develop, and deploy production-grade AI/ML solutions within client's organization. This role focuses on building Generative AI applications, multi-agent systems, and advanced retrieval pipelines that drive measurable business impact. You will work at the intersection of cutting-edge AI research and enterprise software engineering, collaborating with data scientists, platform engineers, and domain experts across R&D, supply chain, and commercial functions.\n\nBasic Ask : \n\n- Strong planning skills and should be able to work on the plan with the technical lead / architect\n\n- Strong GenAI development skills alongside classical ML/NLP foundations\n\n- Planning capability - able to lead technical planning for AI sprints and agree to delivery plans crafted by engineering leads\n\n- Accountable, self-driven, with a bias toward shipping production-grade solutions\n\n- Minimum 2 years hands-on experience building and deploying GenAI / LLM applications in production\n\nKey Responsibilities : \n\n1. Generative AI & LLM Development \n\n2. ML Engineering & MLOps \n\n3. Architecture & Cloud \n\n4. Collaboration & Leadership \n\nTechnical Skills Matrix : \n\n- GenAI & LLMs : LangChain, LangGraph, OpenAI API, Claude API, Hugging Face Transformers, prompt engineering, multi-agent orchestration\n\n- ML Frameworks : PyTorch, TensorFlow, Scikit-learn, XGBoost; fine-tuning (LoRA / QLoRA / PEFT)\n\n- NLP & Retrieval : RAG, Graph RAG, hybrid search, vector DBs (Pinecone, Weaviate, Chroma), embedding models, NER, text classification\n\n- LLMOps & Eval : LangSmith, Langfuse, RAGAS, LLM-as-judge, model versioning, A/B testing, prompt management\n\n- Inference : vLLM, TensorRT-LLM, DeepSpeed, ONNX Runtime, quantization techniques\n\n- Cloud & Infra : AWS (Bedrock, SageMaker, Lambda, S3) or Azure; Docker, Kubernetes, Terraform\n\n- Programming : Python (primary), FastAPI, SQL, Git, Bash; familiarity with TypeScript / JavaScript a plus\n\n- Data & Tools : PostgreSQL, Neo4j, MongoDB, Redis, Apache Kafka, Databricks, Jupyter, MLflow\n\nQualifications Required : \n\n- Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, Mathematics, or a related field from a reputed institution\n\n- 10+ years of total experience in ML/AI or data science roles, with a minimum of 2 years building and deploying GenAI / LLM applications in production\n\n- Strong proficiency in Python and at least one ML framework (PyTorch / TensorFlow)\n\n- Hands-on experience with RAG pipelines, vector databases, and LLM orchestration frameworks\n\n- Experience deploying AI solutions on cloud platforms (AWS or Azure) with containerization\n\n- Solid understanding of transformer architectures, attention mechanisms, and modern NLP techniques\n\nPreferred : \n\n- Experience in a pharmaceutical, healthcare, or regulated industry environment\n\n- Background in Graph RAG, knowledge graphs, or ontology-based information extraction\n\n- Exposure to multi-agent system design, tool use patterns, and function calling\n\n- Published research or contributions to open-source AI/ML projects\n\n- Familiarity with compliance frameworks relevant to pharma (GxP, 21 CFR Part 11, SOX)\n\n- Experience with LLM inference optimization (quantization, batching, speculative)\nSkills\nMachine Learning, Generative AI, Python, Data Science, Data Scientist, Tensorflow, NLP, MLOps","description_format":"text","description_chars":3429,"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":["IT Consulting & Digital Transformation","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-09-26T00:07:01Z"}],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":0.85,"p_active":0.666,"p_room":0.55,"age_days":28,"expected_fill_days":24,"reasons":["seen:28","velocity","win:tail"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/codechavo-global-senior-aiml-engineer","json_url":"https://alion.io/job/codechavo-global-senior-aiml-engineer.json","meta":{"generated_at":"2026-10-02T01:12:42Z","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":1313,"day_limit":5000,"remaining_today":3687,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}