{"id":1398897,"url":"https://alion.io/job/world-vision-softek-ai-engineer","title":"AI Engineer","company":{"id":1043178,"name":"World Vision Softek","domain":"wvsoftek.com","url":"https://alion.io/company/world-vision-softek","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":null,"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":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Chroma","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"GCP","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Llama","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"Pandas","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"Weaviate","optional":false}],"status":"live","first_seen_at":"2026-09-28T14:33:57Z","employer_posted_date":null,"last_verified_at":"2026-09-28T14:33:57Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are seeking a skilled AI Engineer to design, develop, and deploy AI/ML-driven solutions that enhance business capabilities, automate processes, and improve customer and employee experiences. The ideal candidate has strong foundations in machine learning, LLMs, data engineering, and cloud platforms, with the ability to productionize models at scale.\nThe candidate will have responsibilities across the following functions:\nAI/ML Solution Development:\nDesign, build, and deploy machine learning and generative AI models (LLMs, embeddings, transformers, RAG pipelines, etc. ).\nDevelop scalable AI services and microservices using Python, REST APIs, and cloud-native technologies.\nOptimise models for performance, accuracy, and cost efficiency.\nData Engineering and Preparation:\nWork with structured and unstructured datasets for feature engineering, vectorisation, and model training.\nBuild data pipelines for training, validation, and inference.\nCollaborate with data engineering teams on data ingestion, storage, and governance.\nModel Deployment and MLOps:\nImplement CI/CD pipelines for ML models (MLOps).\nMonitor model performance and drift; implement retraining strategies.\nManage model lifecycle management, logging, and observability.\nAI Architecture and Integration:\nIntegrate AI systems with enterprise applications, APIs, and cloud platforms (Azure/AWS/GCP).\nBuild Retrieval-Augmented Generation (RAG) architectures leveraging vector databases like Pinecone, FAISS, Weaviate, or Azure AI Search.\nEnsure solutions align with enterprise security, compliance, and ethical AI standards. `\nCross-functional Collaboration:\nWork with product, engineering, domain experts, and business teams to translate requirements into technical solutions.\nCommunicate AI capabilities and limitations to non-technical stakeholders.\nConduct POCs, demos, and conceptual solutioning.\nRequirements:\nStrong proficiency in Python (NumPy, Pandas, PyTorch, TensorFlow, Transformers).\nHands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Llama, etc. ).\nExpertise in ML algorithms, NLP, deep learning, and vector embeddings.\nExperience with cloud platforms (Azure/AWS/GCP) and serverless compute.\nFamiliarity with MLOps tools (MLflow, Kubeflow, Azure ML, SageMaker, or Databricks).\nExperience using vector databases (Pinecone, Chroma, FAISS, Azure AI Search).\nKnowledge of containerization (Docker, Kubernetes).","description_format":"text","description_chars":2402,"description_truncated":false,"requirements":{"experience_years_min":null,"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","Digital Marketing"],"lifecycle":[{"event":"open","at":"2026-09-28T14:33:57Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":21,"reasons":["seen:0","win:early"],"computed_at":"2026-09-29T03:26:36Z"},"pay":null,"html_url":"https://alion.io/job/world-vision-softek-ai-engineer","json_url":"https://alion.io/job/world-vision-softek-ai-engineer.json","meta":{"generated_at":"2026-09-29T03:26:36Z","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":3188,"day_limit":5000,"remaining_today":1812,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}