{"id":3145001,"url":"https://alion.io/job/sigmoid-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":1528,"name":"Sigmoid","domain":"sigmoid.com","url":"https://alion.io/company/sigmoid","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":71,"open_postings":31,"ghost_share":0.484,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":39,"computed_at":"2026-10-23T05:54:15Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Dask","optional":false},{"name":"Docker","optional":false},{"name":"Evidently AI","optional":false},{"name":"Feast","optional":false},{"name":"Feature Store","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Grafana","optional":false},{"name":"Hugging Face","optional":false},{"name":"JAX","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Distillation","optional":false},{"name":"Prometheus","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Ray","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false},{"name":"ChatGPT","optional":true},{"name":"Claude","optional":true},{"name":"FAISS","optional":true},{"name":"Falcon","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"LoRA","optional":true},{"name":"Mistral","optional":true},{"name":"PEFT","optional":true},{"name":"Pinecone","optional":true},{"name":"RAG","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"RLHF","optional":true},{"name":"Transformers","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-10-23T09:35:15Z","employer_posted_date":null,"last_verified_at":"2026-10-23T09:35:15Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for a Machine Learning Engineer with expertise in MLOps (Machine Learning Operations) and LLMOps (Large Language Model Operations) to design, deploy, and maintain scalable AI/ML systems. You will work on automating ML workflows, optimising model deployment, and managing large-scale AI applications, including LLMs (Large Language Models), ensuring they run efficiently in production.\n\nResponsibilities: \nDesign and implement end-to-end MLOps pipelines for training, validation, deployment, monitoring, and retraining of ML models.\nOptimise and fine-tune large language models (LLMs) for various applications, ensuring performance and efficiency.\nDevelop CI/CD pipelines for ML models to automate deployment and monitoring in production.\nMonitor model performance, detect drift, and implement automated retraining mechanisms.\nWork with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) for scalable deployments.\nImplement best practices in data engineering, feature stores, and model versioning.\nCollaborate with data scientists, engineers, and product teams to integrate ML models into production applications.\nEnsure compliance with security, privacy, and ethical AI standards in ML deployments.\nOptimise inference performance and cost of LLMs using quantisation, pruning, and distillation techniques.\nDeploy LLM-based APIs and services, integrating them with real-time and batch processing pipelines.\n\nRequirements: \nStrong programming skills in Python, with experience in ML frameworks (TensorFlow, PyTorch, Hugging Face, JAX).\nExperience with MLOps tools (MLflow, Kubeflow, Vertex AI, SageMaker, Airflow).\nDeep understanding of LLM architectures, prompt engineering, and fine-tuning.\nHands-on experience with containerization (Docker, Kubernetes) and orchestration tools.\nProficiency in cloud services (AWS/GCP/Azure) for ML model training and deployment.\nExperience with monitoring ML models (Prometheus, Grafana, Evidently AI).\nKnowledge of feature stores (Feast, Tecton) and data pipelines (Kafka, Apache Beam).\nStrong background in distributed computing (Spark, Ray, Dask).\n\nSoft Skills: \nStrong problem-solving and debugging skills.\nAbility to work in cross-functional teams and communicate complex ML concepts to stakeholders.\nPassion for staying updated with the latest ML and LLM research & technologies.\n\nPreferred Qualifications: \nExperience with LLM fine-tuning, Reinforcement Learning with Human Feedback (RLHF), or LoRA/PEFT techniques.\nKnowledge of vector databases (FAISS, Pinecone, Weaviate) for retrieval-augmented generation (RAG).\nFamiliarity with LangChain, LlamaIndex, and other LLMOps-specific frameworks.\nExperience deploying LLMs in production (ChatGPT, LLaMA, Falcon, Mistral, Claude, etc. ).\nSkills\nLLMOps, ML, MLOps, machine learning, python","description_format":"text","description_chars":2827,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["AI Consulting & Integration","Analytics & BI Consulting","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-10-23T09:35:15Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":39,"reasons":["seen:0","win:early"],"computed_at":"2026-10-24T02:19:23Z"},"pay":null,"html_url":"https://alion.io/job/sigmoid-senior-machine-learning-engineer","json_url":"https://alion.io/job/sigmoid-senior-machine-learning-engineer.json","meta":{"generated_at":"2026-10-24T02:19:23Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3767,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1528},"rest":"https://alion.io/mcp/rest/get_company?id=1528"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsigmoid-senior-machine-learning-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsigmoid-senior-machine-learning-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsigmoid-senior-machine-learning-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/sigmoid-senior-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsigmoid-senior-machine-learning-engineer"}]}