{"id":2786228,"url":"https://alion.io/job/kapture-cx-aiml-engineer","title":"AI/ML Engineer","company":{"id":59417,"name":"Kapture CX","domain":"kapture.cx","url":"https://alion.io/company/kapture-cx","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","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":{"min_usd":13000,"max_usd":33000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"DPO","optional":false},{"name":"Edge AI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Gemma","optional":false},{"name":"Hugging Face","optional":false},{"name":"KV Cache","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Mistral","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"NVIDIA NeMo","optional":false},{"name":"PEFT","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"QLoRA","optional":false},{"name":"Quantization","optional":false},{"name":"Qwen","optional":false},{"name":"SFT","optional":false},{"name":"Speech Recognition","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"Transformers","optional":false},{"name":"TRL","optional":false},{"name":"Weights & Biases","optional":false},{"name":"Whisper","optional":false}],"status":"live","first_seen_at":"2026-10-09T07:10:04Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-18T04:37:46Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Role Name: ML Engineer\nAt Kapture CX, we are looking for an ML Engineer in our AI/ML Team.\nWho are we?\nKapture CX is a leading SaaS platform that helps enterprises automate and elevate customer experience through intelligent, AI-powered solutions. We partner with enterprises across industries to bring scalable automation and insight-driven efficiencies to their CX operations. Over a thousand clients across 18 countries have used Kapture’s products to enhance their customer experience, including Unilever, Reliance, Coca-Cola, Bigbasket, Meesho, Airtel Payments Bank and Cathay Pacific. Kapture delivers industry-specific solutions powered by AI, tailored workflows, and seamless automation.\nKapture CX is headquartered in Bangalore and we have offices in Mumbai and Delhi/NCR in India, in addition to offices in the USA, UAE, Singapore, Philippines and Indonesia.\nWhat is this role all about?\nThis is a model-first role where you will research, design, fine-tune, and evaluate AI models powering our conversational call agent platform. You will work across the full model development lifecycle - from understanding problems deeply and generating training data to implementing cutting-edge finetuning techniques and delivering production-ready models.\nSounds interesting?\nHere’s a more detailed description of what you will do in this role:\nYou will research, evaluate, and select foundation models (LLMs, ASR, TTS) based on performance and production constraints.\nYou will develop end-to-end finetuning pipelines using techniques such as SFT, DPO, LoRA, QLoRA, and other efficient methods.\nYou will design and implement robust evaluation frameworks including ASR metrics (WER/CER), TTS quality metrics (MOS/UTMOS), and LLM task-specific benchmarks.\nYou will architect synthetic data generation pipelines to create scalable and high-quality training datasets.\nYou will collaborate with MLOps teams during model handoff, ensuring clarity on model characteristics, inference requirements, latency, and quantization considerations.\nYou will adapt models for Indian language and accent diversity, including Hindi, Hinglish, and regional variations.\nThis is a Bangalore-based role. We work five days a week from the office, as we believe in-person interactions fuel innovation and agility.\nWhat does success look like in this role?\nYou deliver well-characterised, production-ready models that improve conversational intelligence while balancing accuracy, efficiency, and real-world deployment constraints.\nWhat would make you a good fit for this role?\nHere are the basic requirements:\nYou have 2-3 years of hands-on experience in ML model development, especially in LLMs, ASR, or TTS.\nYou are proficient in PyTorch and understand training dynamics, debugging model instability, and optimization techniques.\nYou have experience working with the HuggingFace ecosystem including Transformers, PEFT, TRL, and Datasets.\nYou have practical experience with finetuning techniques such as SFT or DPO.\nWhat are the most critical skills for this role?\nYou understand model architecture trade-offs including parameter size, attention mechanisms, KV cache behaviour, and quantization sensitivity.\nYou can build maintainable, modular Python training pipelines.\nYou design structured experiments and benchmarking frameworks for model evaluation.\nYou communicate technical trade-offs clearly to engineering and infrastructure teams.\nYou will have an advantage if you:\nYou have experience finetuning Whisper-family, NeMo, ESPnet, or similar ASR models.\nYou have worked with neural TTS systems and understand prosody modelling and code-mixed synthesis.\nYou have experience finetuning open-source LLMs like LLaMA, Mistral, Qwen, or Gemma.\nYou have exposure to synthetic data generation pipelines or multilingual NLP/speech systems.\nYou use experiment tracking tools like Weights & Biases or MLflow.\nWhy should you be interested?\nHere’s what you will gain from this role:\nOpportunity to work on cutting-edge AI powering real-world conversational systems.\nHands-on exposure to LLM, ASR, and TTS model development at production scale.\nCollaboration with highly skilled engineering and AI teams in a fast-growing global SaaS organization.\nStrong growth opportunities with competitive compensation and performance-linked rewards.","description_format":"text","description_chars":4304,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Hindi","level":"All levels","optional":false}]},"benefits":["Growth opportunities"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Software","Customer Support & Help Desk Software"],"lifecycle":[{"event":"open","at":"2026-10-17T15:20:46Z"}],"visa":[],"liveness":{"score":82,"band":"hot","label":"Hiring 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