{"id":1353917,"url":"https://alion.io/job/the-hartford-staff-software-engineerai-ml","title":"Staff Software Engineer/AI-ML","company":{"id":1760358,"name":"The Hartford","domain":"thehartford.com","url":"https://alion.io/company/thehartford-com","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":29,"ghost_share":0,"stale_share":0.862,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":69000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"Streamlit","optional":false},{"name":"Terraform","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"Agile","optional":true},{"name":"Amazon EC2","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"Scikit-learn","optional":true},{"name":"SQL","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-06-05T00:00:00Z","employer_posted_date":"2026-06-05","last_verified_at":"2026-10-21T21:31:41Z","board_verified":true,"closed_at":null,"days_open":139,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":139},"description":"IND Staff Engineer - GCC094We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.\nResponsibilities\nResearch, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.\nParticipate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques and technology, to ensure ongoing competitive advantage.\nReview work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.\nAccountable for design, development and maintenance of Models as Service\nWork with junior engineers and peers to provide mentorship and thought leadership. Be comfortable presenting new concepts to technical audiences.\nCollaborate with partners Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams\nDelivery of critical milestones for model deployment in the AWS and GCP clouds.\nAdopt and promote MLOps best practices to the Data Science community.\nMinimum Requirements\nDevelopment experience using both the AWS and GCP suite of tools.\nFamiliarity with SageMaker, Streamlit, web security, credentials and API management tools\nExperience developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.\nExperience building and deploying webservices in a cloud environment.\nExperience building CICD pipeline using Jenkins or equivalent\nExperience with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or similar\nExpert-level Github experience, including Github Actions\nStrong object oriented development experience using Python, Java, C#\nFamiliarity with big data technologies (i.e. Hadoop, Spark, Hive, etc.) and RDBMS platforms such as Redshift, Snowflake or BigQuery\nExperience in end to end model development lifecycle, from ideation through post production monitoring.\nExperience with workflow automation platforms (Apache Airflow, Autosys, similar)\nExperience with Solution Design and Architecture of data pipelines\nBasic understanding of Data Science model development life cycle\nPreferred Skills\nFundamentally strong with Data Structures and algorithms.\nExperience working with Docker, Kubernetes and EC2 environment.\nExperience building ML and data pipeline and orchestration services\nBasic understanding of ML frameworks i.e. Tensorflow, Anacoda, Scikit Learn,\nExperience working in an Agile framework.\nQualifications\nML engineering, data manipulation and application development\nPython development experience\nWorking with IAC, developing CICD pipelines\nExperience in the insurance or broader financial services industry\nSQL development experience\nFamiliarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM’s into automated processes\nAbout Us | Our Culture | What It’s Like to Work Here","description_format":"text","description_chars":3065,"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":["Financial Services","Property & Casualty Insurance","Pet Food, Supplies & Care"],"lifecycle":[{"event":"open","at":"2026-09-27T21:19:15Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long 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