{"id":2796877,"url":"https://alion.io/job/tech-mahindra-lead-developer-gis","title":"Lead Developer - GIS","company":{"id":5484,"name":"Tech Mahindra","domain":"techmahindra.com","url":"https://alion.io/company/tech-mahindra","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Field & Service","role_family":"Field & Service","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":10500,"max_usd":26000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1175},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Hadoop","optional":true}],"status":"live","first_seen_at":"2026-10-17T23:44:37Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-18T13:09:05Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Description\n\nSkill Set :\nAI and Gen AI Architecture\n\nTotal Experience :\n7.00 to 10.00 Years\n\nNo of Openings :\n1\n\nJob Post Date :\n07/09/2026\n\nJob Expiry Date :\n31/10/2026\n\nDomain :\nIT\n\nLocation :\nBENGALURU [India]\n\nJob Reference No :\n4105661\n\nJob Summary\nJob Title: AI Developer\nJob Title: AI Engineer - Recommender System & Decision Optimization\nLocation: Bengaluru, Hyderabad, PAN India\nYears of Experience: 7-10 Years\nJob Summary:\nWe are seeking a highly skilled AI Engineer with a strong background in implementing recommender systems and decision optimization engines. The ideal candidate will possess expertise in AI algorithms, including optimization, machine learning, and reinforcement learning. This role is critical in enhancing our analytics capabilities and driving data-driven decision-making processes.\nResponsibilities:\nDesign, develop, and implement advanced recommender systems tailored to meet business needs.\nBuild and optimize decision-making engines using AI algorithms to improve operational efficiency.\nCollaborate with cross-functional teams to gather requirements and translate them into technical specifications.\nConduct thorough data analysis to identify trends and insights that inform algorithm development.\nUtilize process optimization techniques to enhance existing workflows and systems.\nMonitor and evaluate the performance of AI models, making adjustments as necessary to improve accuracy and efficiency.\nStay updated with the latest advancements in AI and machine learning technologies.\nDocument processes, algorithms, and methodologies for future reference and knowledge sharing.\nMandatory Skills:\nProven experience in process optimization techniques and methodologies.\nStrong proficiency in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).\nExperience with reinforcement learning and its application in real-world scenarios.\nSolid understanding of data structures, algorithms, and software engineering principles.\nAbility to analyze large datasets and extract meaningful insights.\nExcellent problem-solving skills and attention to detail.\nPreferred Skills:\nExperience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI solutions.\nFamiliarity with big data technologies (e.g., Hadoop, Spark).\nKnowledge of statistical analysis and data visualization tools.\nExperience in Agile methodologies and project management.\nQualifications:\nBachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.\n7-10 years of relevant experience in AI engineering, with a focus on recommender systems and optimization.\nStrong communication skills, with the 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