{"id":1285663,"url":"https://alion.io/job/ks-smart-solutions-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":3810739,"name":"KS Smart Solutions","domain":"kssmart.co","url":"https://alion.io/company/ks-smart-solutions","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":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"EasyOCR","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"OCR","optional":false},{"name":"ONNX","optional":false},{"name":"ONNX Runtime","optional":false},{"name":"OpenCV","optional":false},{"name":"PaddleOCR","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Quantization","optional":false},{"name":"SciPy","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"TensorRT","optional":false},{"name":"Transformers","optional":false},{"name":"YOLO","optional":false},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"C++","optional":true},{"name":"Edge AI","optional":true},{"name":"GCP","optional":true},{"name":"Kubeflow","optional":true},{"name":"MLFlow","optional":true},{"name":"PaddlePaddle","optional":true},{"name":"Scrum","optional":true},{"name":"Weights & Biases","optional":true}],"status":"live","first_seen_at":"2026-08-13T05:01:04Z","employer_posted_date":null,"last_verified_at":"2026-08-13T05:01:04Z","board_verified":false,"closed_at":null,"days_open":50,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":50},"description":"Job Description Senior ML Engineer\n\nRole Name : Senior Machine Learning Engineer\n\nExperience : 3-6 years\n\nDepartment : Data Science\n\nRole : \n\nAs a Senior ML Engineer and Team Lead, you will be the driving technical and operational force behind our vision-based analytics pipelines. You will operate as a \"player-coach\", balancing hands-on model development and edge deployment with the management of a small team of ML engineers. You will design state-of-the-art computer vision modelsranging from classic image processing to modern transformer architecturesand ensure they run efficiently on edge devices (NVIDIA Jetson) using modern MLOps and CI/CD practices.\n\nKey Responsibilities : \n\n- Team Leadership & Management : Manage and mentor a small team of ML engineers. Guide their technical development, oversee task delegation, conduct 1-on-1s, and foster a culture of engineering excellence and collaboration.\n\n- Technical Roadmapping : Work closely with product and engineering leadership to define ML project scopes, timelines, and technical architecture.\n\n- Model Development : Design, train, and evaluate Computer Vision models for object detection, image classification, segmentation, and Optical Character Recognition (OCR).\n\n- Algorithm Selection : Apply the right tool for the job, balancing classic CV algorithms, standard Deep Learning approaches (CNNs, YOLO, etc.), and state-of-the-art Vision Transformers (ViT, DETR).\n\n- Edge Optimization & Deployment : Optimize models for real-time inference on edge devices (NVIDIA Jetson) using frameworks like TensorRT, ONNX, or DeepStream.\n\n- MLOps & Infrastructure : Architect and maintain end-to-end MLOps pipelines. Containerize applications using Docker and automate workflows using CI/CD pipelines.\n\n- Production Monitoring : Implement telemetry and monitoring solutions to track model drift, hardware health, and inference performance on distributed edge devices in the field.\n\n- Code Quality : Write clean, production-ready, and highly optimized Python code, and enforce these standards across your team through code reviews.\n\nRequired Qualifications : \n\n- Experience : 3+ years of industry experience in Machine Learning, with a heavy focus on Computer Vision in production environments.\n\n- Leadership : 1+ years of experience leading, managing, or formally mentoring an engineering or data science team.\n\n- Programming : Strong proficiency in Python and its scientific computing ecosystem (NumPy, SciPy, Pandas).\n\n- Computer Vision Expertise : \n\n1. Solid grasp of classic CV techniques (OpenCV).\n\n2. Deep understanding of DL architectures for detection and classification (PyTorch or TensorFlow).\n\n3. Hands-on experience with OCR systems (e.g., Tesseract, EasyOCR, PaddleOCR).\n\n4. Working knowledge of Transformer-based vision models.\n\n- Edge Deployment : Proven track record of deploying models to edge hardware, specifically NVIDIA Jetson architecture. Experience with model quantization, pruning, and optimization (TensorRT, ONNX Runtime).\n\n- MLOps & DevOps : Hands-on experience with Docker and building automated CI/CD pipelines (GitHub Actions, GitLab CI, or similar).\n\n- Monitoring : Experience setting up monitoring, logging, and remote management for edge deployments.\n\nPreferred (Nice-to-Have) Skills : \n\n- Proficiency in C++ for high-performance edge inference.\n\n- Experience with NVIDIA DeepStream SDK.\n\n- Agile/Scrum project management experience.\n\n- Familiarity with cloud platforms (AWS, GCP, or Azure) and IoT device management.\n\n- Experience with ML lifecycle tools like MLflow, Weights & Biases, or Kubeflow.\nSkills\nMachine Learning, Computer Vision, Python, PyTorch, Docker, MLOps, Optical Character Recognition","description_format":"text","description_chars":3693,"description_truncated":false,"requirements":{"experience_years_min":3,"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":[],"lifecycle":[{"event":"open","at":"2026-09-26T04:00:00Z"}],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.505,"p_room":0.35,"age_days":50,"expected_fill_days":24,"reasons":["seen:50","win:tail"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/ks-smart-solutions-senior-machine-learning-engineer","json_url":"https://alion.io/job/ks-smart-solutions-senior-machine-learning-engineer.json","meta":{"generated_at":"2026-10-03T00:41:51Z","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":324,"day_limit":5000,"remaining_today":4676,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}