{"id":3575274,"url":"https://alion.io/job/quest-global-ai-technical-lead","title":"AI Technical Lead","company":{"id":59490,"name":"Quest Global","domain":"questglobal.com","url":"https://alion.io/company/quest-global","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":"lead","employment_type":"full_time","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":26000,"max_usd":69000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":47},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-31T17:29:05Z","employer_posted_date":null,"last_verified_at":"2026-10-31T17:29:05Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Job Requirements\n\nAt Quest Global, it's not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.\n\nDeveloping AI / Gen AI Models And Algorithms\n\n Designing, building, and training machine learning and deep learning models.\n Implementing algorithms for tasks like natural language processing (NLP), computer vision, and predictive analytics.\n Integrating AI into Applications:\n Embedding AI functionalities into existing software systems and applications.\n Developing APIs and interfaces for AI-powered features.\n Data Handling and Processing:\n Working with large datasets, including data cleaning, preprocessing, and feature engineering.\n Ensuring data quality and integrity for AI model training.\n Collaboration and Communication:\n Working closely with data scientists, engineers, and stakeholders.\n Communicating technical concepts to non-technical audiences.\n Optimization and Deployment:\n Optimizing AI models for performance, scalability, and efficiency.\n Deploying AI solutions to production environments.\n Staying Current with AI Trends:\n Continuously learning and researching the latest AI technologies and advancements.\n\nManaging AI Projects \n\nManage and lead AI projects\nGuide, mentor, and upskill data scientists, ML engineers, and analysts\nPlanning team capacity and allocating tasks based on strengths \n\nWork Experience\n\nStrong expertise in AI/ML technologies including machine learning, deep learning, NLP, LLMs, and model evaluation techniques.\nHands‑on experience with AI engineering tools such as Python, TensorFlow/PyTorch, cloud ML platforms (Azure, AWS, GCP), and MLOps frameworks.\nProven ability to lead and mentor teams of data scientists, ML engineers, and developers, with a focus on coaching, reviews, and skill development.\nExperience managing end‑to‑end AI solution lifecycle—problem discovery, data preparation, model development, deployment, and 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