{"id":1328345,"url":"https://alion.io/job/thinkwiseglobal-manager-machine-learning","title":"Manager Machine Learning","company":{"id":3806720,"name":"Thinkwiseglobal","domain":"thinkwiseglobal.com","url":"https://alion.io/company/thinkwiseglobal","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"Management","role_family":"Management","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"NLP","optional":true},{"name":"RAG","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-04-27T06:52:43Z","employer_posted_date":"2026-04-27","last_verified_at":"2026-09-27T13:35:55Z","board_verified":true,"closed_at":null,"days_open":154,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":153},"description":"Manager Machine Learning\nLocation: Hyderabad\nExperience: 8+ years\nMode of Work: 5 Days work from office\nOpportunity Overview\n As the Manager, Machine Learning & Data Science, you will play a key role in building and scaling Cohere Health’s AI capabilities in India. You’ll lead a team of machine learning engineers and data scientists focused on developing and deploying models that automate and augment complex clinical and administrative workflows.\nThis team is responsible for the full lifecycle of applied machine learning and data science from problem framing and experimentation to production model deployment and ongoing optimization. You’ll work with structured and unstructured healthcare data to generate insights and power intelligent systems that improve prior authorization and broader clinical decision-making.\nAs a player-coach, you’ll combine hands-on technical contributions with team leadership, helping to establish best practices, mentor team members, and drive high-impact solutions in close partnership with Product, Engineering, Clinical, and Analytics stakeholders. This is an opportunity to shape both the technical direction and team culture within a growing global organization.\nWhat you’ll do:\nLead, mentor, and develop a team of machine learning engineers and data scientists, fostering a collaborative, high-performance environment\nAct as a hands-on contributor across the ML/DS lifecycle, including data exploration, feature engineering, model development, evaluation, and deployment\nDesign, develop, and deploy machine learning models for retrieval, classification, and generative use cases across structured and unstructured data\nTranslate complex business and clinical problems into scalable machine learning and data science solutions\nEstablish and uphold best practices for experimentation, model validation, performance tracking, and reproducibility\nPartner cross-functionally with Product, Engineering, Clinical, and Analytics teams to align solutions with business priorities\nGuide the development of scalable data science and machine learning systems, including data preprocessing pipelines and production workflows\nMonitor model performance, identify opportunities for improvement, and drive continuous iteration and optimization\nCommunicate technical concepts, methodologies, and insights clearly to both technical and non-technical stakeholders\nContribute to hiring and scaling the team in India, including recruiting, onboarding, and coaching team members\nWhat you’ll need:\nMust-haves\nMinimum 8+ years of experience in machine learning, data science, or applied AI roles, of those a minimum 2+ years of experience must be leading technical teams\nStrong hands-on experience building, evaluating, and deploying machine learning models in production\nSolid foundation in statistical methods, experimental design, and model evaluation\nProficiency in Python and experience with ML frameworks (e.g., PyTorch, scikit-learn)\nExperience working with large, complex datasets (structured and/or unstructured)\nStrong problem-solving skills with the ability to translate business challenges into analytical solutions\nExcellent communication skills, with the ability to present complex concepts clearly to diverse stakeholders\nExperience working in fast-paced, evolving environments\nNice-to-haves\nExperience in healthcare, particularly with payer, provider, or clinical data\nExperience with NLP, deep learning (e.g., transformers), or generative AI (e.g., RAG)\nFamiliarity with MLOps practices and production ML systems\nExperience with Spark or large-scale data processing frameworks\nExposure to cloud platforms (e.g., AWS, SageMaker)\nExperience working in a global or distributed team environment\nPrior experience in a GCC or building teams in India","description_format":"text","description_chars":3779,"description_truncated":false,"requirements":{"experience_years_min":8,"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":["Artificial Intelligence","Information Technology","Professional Services"],"lifecycle":[{"event":"open","at":"2026-09-27T06:55:23Z"}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.273,"p_room":0.28,"age_days":153,"expected_fill_days":23,"reasons":["conf:16","velocity","win:tail","crowd:"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/thinkwiseglobal-manager-machine-learning","json_url":"https://alion.io/job/thinkwiseglobal-manager-machine-learning.json","meta":{"generated_at":"2026-09-29T00:29:16Z","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":363,"day_limit":5000,"remaining_today":4637,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}