{"id":1252249,"url":"https://alion.io/job/mclarenss-aiml-engineer","title":"AI/ML Engineer","company":{"id":3801259,"name":"Mclarenss","domain":"mclarenss.com","url":"https://alion.io/company/mclarenss","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","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":{"min_usd":26000,"max_usd":76000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":292},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Data Augmentation","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GitHub Actions","optional":false},{"name":"gRPC","optional":false},{"name":"Hugging Face","optional":false},{"name":"JAX","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LoRA","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"ONNX","optional":false},{"name":"PEFT","optional":false},{"name":"PyTorch","optional":false},{"name":"Synthetic Data","optional":false},{"name":"TensorBoard","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorRT","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"Transfer Learning","optional":false},{"name":"Transformers","optional":false},{"name":"Weights & Biases","optional":false},{"name":"DeepSpeed","optional":true},{"name":"FAISS","optional":true},{"name":"FSDP","optional":true},{"name":"Milvus","optional":true},{"name":"Python","optional":true},{"name":"Speech Recognition","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-09-15T10:36:37Z","employer_posted_date":null,"last_verified_at":"2026-09-15T10:36:37Z","board_verified":false,"closed_at":null,"days_open":12,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":12},"description":"About the Role:\n\nWe are looking for a hands-on AI/ML Engineer to design, build, and deploy multilingual NLP and speech systems, including Neural Machine Translation (NMT), Speech-to-Text (STT), and Text-to-Speech (TTS). This role combines applied research and engineering with a strong focus on multilingual modeling, low-resource learning, and offline/on-device (edge) deployment.\n\nKey Responsibilities:\n\nMultilingual Modeling & NLP Systems:\n\n- Design and develop Machine Translation (NMT), Speech-to-Text (STT), and Text-to-Speech (TTS) systems.\n\n- Work with transformer-based and sequence-to-sequence architectures.\n\n- Adapt models for multilingual and low-resource scenarios.\n\nData Engineering & Processing:\n\n- Build pipelines for data ingestion, cleaning, and preprocessing.\n\n- Handle low-resource and noisy datasets.\n\n- Implement data augmentation, back-translation, and synthetic data generation.\n\n- Work with JSON, Parquet, TFRecords.\n\nModel Training & Optimization:\n\n- Train models using PyTorch, TensorFlow, or JAX.\n\n- Use Hugging Face Transformers, Fairseq, OpenNMT.\n\n- Apply transfer learning and PEFT (LoRA, Adapters).\n\n- Optimize with mixed precision and distributed training.\n\n- Improve latency, throughput, and memory efficiency.\n\nEvaluation & Experimentation:\n\n- Design evaluation pipelines (BLEU, WER, ROUGE, METEOR).\n\n- Use MLflow, Weights & Biases, TensorBoard.\n\n- Perform benchmarking, error analysis, and regression testing.\n\nDeployment & Edge Systems:\n\n- Deploy models in offline/on-device environments.\n\n- Build inference APIs using FastAPI, Flask, or gRPC.\n\n- Work with Docker and Kubernetes.\n\n- Optimize inference using ONNX, TensorRT, TorchScript.\n\nAI Systems & MLOps:\n\n- Develop pipelines using Airflow or Prefect.\n\n- Implement CI/CD (GitHub Actions, Jenkins).\n\n- Monitor model performance and drift.\n\nResearch & Innovation:\n\n- Explore multilingual LLMs and speech-language models.\n\n- Prototype and evaluate new approaches.\n\n- Contribute to internal frameworks and tools.\n\nCollaboration:\n\n- Work with ML engineers, data scientists, and research teams.\n\n- Collaborate with linguistic and annotation teams.\n\n- Document systems and experiments.\n\nTech Stack & Good to Have:\n\n- Advanced Concepts: Multilingual LLMs, Transfer learning, domain adaptation, Real-time inference systems.\n\n- Additional Tools: FAISS, Milvus, Weaviate, Airflow, Prefect, GitHub Actions, Jenkins, DeepSpeed, FSDP.\n\nWhat We're Looking For:\n\n- Strong problem-solving skills.\n\n- Ability to work in research-driven environments.\n\n- Hands-on builder mindset.\n\n- Good communication skills.\n\nWhy Join Us:\n\n- Work on cutting-edge multilingual AI and speech systems.\n\n- Build production-grade AI solutions.\n\n- Exposure to LLMs, speech AI, and edge deployment.\n\nSkills\nMachine Learning, NLP, Python, PyTorch, Tensorflow, FastAPI, Speech Recognition, Artificial Intelligence","description_format":"text","description_chars":2861,"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":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation"],"lifecycle":[{"event":"open","at":"2026-09-25T18:04:06Z"}],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.689,"p_room":0.75,"age_days":12,"expected_fill_days":15,"reasons":["seen:12","win:late","comp:junior"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/mclarenss-aiml-engineer","json_url":"https://alion.io/job/mclarenss-aiml-engineer.json","meta":{"generated_at":"2026-09-28T06:39:18Z","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":4739,"day_limit":5000,"remaining_today":261,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}