{"id":3057630,"url":"https://alion.io/job/ivy-mobility-seniorlead-aiml-engineer","title":"Senior/Lead AI/ML Engineer","company":{"id":2251385,"name":"Ivy Mobility","domain":"ivymobility.com","url":"https://alion.io/company/ivymobility","size_band":"501-1000","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":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":65000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":44},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CUDA","optional":false},{"name":"GCP","optional":false},{"name":"Gensim","optional":false},{"name":"JavaScript","optional":false},{"name":"Keras","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"MySQL","optional":false},{"name":"NLTK","optional":false},{"name":"OpenCL","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Ubuntu","optional":false},{"name":"Unix","optional":false},{"name":"Windows","optional":false},{"name":"C#","optional":true},{"name":"Hadoop","optional":true},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-10-22T04:15:15Z","employer_posted_date":null,"last_verified_at":"2026-10-22T04:15:15Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Position : Lead/Senior AI/ML Engineer\n\nLocation : Dlf, Cyber Park, Gurugram\n\nWFO : 5 Days\n\nQualifications : \n\n- Overall 5+ years of work experience as a Machine Learning Engineer or related role.\n\n- Strong coding experience in Python is required.\n\n- More than 4+ years of experience with designing and developing popular - highly scalable, distributed ML models and open-source projects.\n\n- Contribution towards multiple use cases.\n\n- Understanding of data structures, data modelling and software architecture.\n\n- Familiarity and proficiency with machine learning frameworks (like PyTorch, TensorFlow, Keras, MxNet) and libraries (like scikit-learn, pandas).\n\n- Knowledge of CUDA, OpenCL.\n\n- Understanding and scripting on SQL/ NoSQL databases (e.g., MySQL, MangoDB).\n\n- Familiarity with various operating systems (e.g., Windows, UNIX/Linux, Ubuntu).\n\n- Knowledge in other programming languages like Java, .net, JavaScript is an added advantage.\n\n- Knowledge on deployment of the ML models on any cloud-based platforms (AWS, Azure, GCP).\n\n- Knowledge on Big Data & tools like Spark based - distributed training and inferencing.\n\n- Reinforcement Learning, Neural Networks and Natural Language Processing knowledge on packages like NLTK, Gensim, SpaCy, CoreNLP is a bonus.\n\n- Knowledge of text detection, generative models, reinforcement learning, model compression / optimization.\n\n- Deep and profound knowledge of math, probability, statistics, and algorithms.\n\n- Should have led a team of engineers towards deployment of projects.\n\n- Outstanding analytical and problem-solving skills.\n\n- Good team player and excellent written and verbal technical communication skills.\n\n- Preferable to have FMCG/CPG domain knowledge.\n\n- BE / BCA / BSc in Computer Science; 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