{"id":1228020,"url":"https://alion.io/job/tekskills-embedded-aiml-engineer","title":"Embedded AI/ML Engineer","company":{"id":691922,"name":"Tekskills Inc","domain":"tekskillsinc.com","url":"https://alion.io/company/tekskillsinc","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"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":29000,"max_usd":75000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CNN","optional":false},{"name":"Computer Vision","optional":false},{"name":"GNN","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Transformers","optional":false},{"name":"C++","optional":true},{"name":"CMake","optional":true},{"name":"Edge AI","optional":true},{"name":"FreeRTOS","optional":true},{"name":"Git","optional":true},{"name":"GitHub","optional":true},{"name":"GitLab","optional":true},{"name":"LiteRT","optional":true},{"name":"Multimodal AI","optional":true},{"name":"NLP","optional":true},{"name":"TFLite","optional":true}],"status":"live","first_seen_at":"2026-09-22T07:56:23Z","employer_posted_date":null,"last_verified_at":"2026-09-22T07:56:23Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Embedded AIML Engineer\n\nExperience : 4+ years\n\nLocation : Bangalore\n\nWe are seeking an experienced AI/ML Engineer with a strong academic and research foundation to contribute to the design, development, and implementation of advanced machine learning and deep learning solutions.\n\nThe role requires expertise in state-of-the-art architectures, model optimization, and problem-solving applied to real-world scenarios.\n\nQualifications :\n\nMandatory :\n\n- M. Tech in AI/ML with background in Electronics & Communication (EC) or Computer Science (CS).\n\n- Experience : 4+ years total, with at least 3+ years relevant in AI/ML domain.\n\nCore Skillset (Must-Have) :\n\n- Expertise in Deep Learning architectures : CNN, RNN, GNN, Transformers.\n\n- Strong programming skills in Python.\n\n- Experience with at least one major AI/ML framework (PyTorch / TensorFlow).\n\n- Track record in Computer Vision, Time-Series Analysis, Video Analysis.\n\n- Familiarity with Unsupervised & Semi-supervised learning techniques.\n\nPreferred/Good to Have :\n\n- Image Processing, NLP, Edge/Embedded AI deployment.\n\nRoles & Responsibilities :\n\n- Design and develop cutting-edge AI/ML models for vision, time-series, and multimodal data.\n\n- Research and prototype advanced algorithms using state-of-the-art methods in deep learning.\n\n- Optimize models for performance and scalability across platforms.\n\n- Collaborate with cross-functional teams on real-world product and research applications.\n\n- Stay ahead of AI/ML trends and apply them creatively to business challenges.\n\n- Must be good at AI-ML concepts.\n\n- Must be able to perform model training, inference, and evaluation of different AI models (both supervised and unsupervised).\n\n- Different model optimization and compression methods must be known.\n\n- Embedded-AI frameworks like TensorFlow, TFLite, TFLM, microTVM, CMSIS-NN, CMSIS-DSP.\n\n- Experience of using IDEs like : Keil MDK, IAR Embedded Workbench, VS Code, Eclipse, and toolchains from ST, NXP, Renesas, TI, Infineon etc.\n\n- Strong understanding of MCU and DSP architectures.\n\n- Knowledge of ARM Cortex-M/A processors and embedded memory architectures.\n\n- Experience with : FreeRTOS and Zephyr is an added advantage.\n\n- Experience in porting and deploying AI models on resource-constrained devices such as MCUs, DSPs, and edge processors.\n\n- Performance profiling and optimization of Latency, Throughput, Memory footprint, and Power consumption.\n\n- Strong proficiency in Python and C / C++ languages.\n\n- Experience with software debugging and code optimization techniques.\n\n- Familiarity with Git/GitHub/GitLab and build systems like CMake, Makefiles.\n\n- Strong verbal and written communication skills.\nSkills\nArtificial Intelligence, Machine Learning, Deep Learning, R-CNN, Python, Tensorflow, Computer Vision, Time Series Analysis, FreeRTOS","description_format":"text","description_chars":2819,"description_truncated":false,"requirements":{"experience_years_min":4,"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":["IT Consulting & Digital Transformation","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-09-25T13:06:44Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":3,"expected_fill_days":16,"reasons":["seen:3","win:early"],"computed_at":"2026-09-26T03:19:45Z"},"pay":null,"html_url":"https://alion.io/job/tekskills-embedded-aiml-engineer","json_url":"https://alion.io/job/tekskills-embedded-aiml-engineer.json","meta":{"generated_at":"2026-09-26T03:19:45Z","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":3554,"day_limit":5000,"remaining_today":1446,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}