{"id":3957897,"url":"https://alion.io/job/dataflow-group-senior-ai-ml-engineer","title":"Senior AI / ML Engineer","company":{"id":48789,"name":"DataFlow Group","domain":"dataflowgroup.com","url":"https://alion.io/company/dataflow-group","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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"GCP","optional":false},{"name":"Kubeflow","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-11-09T09:35:15Z","employer_posted_date":null,"last_verified_at":"2026-11-09T09:35:15Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for an experienced and talented Senior AI/ML Engineer to design, develop, and deploy cutting-edge AI and machine learning solutions for our Digital Forensics team at DataFlow Group. This role requires deep technical expertise, the ability to work independently on complex problems, and a proven track record of bringing ML models from research to production scale. The Senior AI Engineer will mentor junior team members and drive technical excellence within the team.\n\nResponsibilities: \nLead the end-to-end development, training, and optimisation of complex machine learning and deep learning models (Computer Vision, Image Processing, NLP, domains).\nProven ability to apply sophisticated ML skills, including advanced feature engineering, ensemble methods, deep learning architectures, and statistical modelling.\nExpertise in data structures, algorithms, and software design principles.\nDesign and build robust, scalable, and efficient ML pipelines (MLOps) to be integrated into our Products.\nArchitect and implement production-grade AI services and APIs.\nEvaluate and select appropriate algorithms, tools, and frameworks for specific problems.\nConduct code reviews and ensure adherence to best coding and engineering practices.\nTroubleshoot and resolve complex performance, scalability, and deployment issues.\nMentor junior engineers and contribute to the growth of the team's technical capabilities.\n\nRequirements: \n3+ years of professional experience working as an AI/ML Engineer or in a similar role.\nStrong proficiency in Python and core ML libraries (e. g., NumPy, Pandas, Scikit-learn).\nProficiency in Python and all major ML/DL frameworks (PyTorch, TensorFlow).\nExperience working with MLOps tools and practices (e. g., Kubeflow, MLflow, Airflow, CI/CD) for integration into our products.\nDeep understanding of model optimisation techniques, performance tuning, and scaling AI models in distributed environments.\nStrong experience with cloud platforms (AWS/Azure/GCP) and related ML services.\nProficiency in database technologies, including SQL and NoSQL.\n\nPreferred Qualifications: \nExperience with specific domains such as NLP, Computer Vision, Image Processing, Deep Learning, Time Series analysis.\nDemonstrated experience in applied research, resulting in improvements to model accuracy, efficiency, or novel solution development.\nProven ability to take up independent Projects.\nSkills\nAirflow, Kubeflow, MLOps, MLflow, PyTorch, Python, Scikit-learn, TensorFlow","description_format":"text","description_chars":2490,"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":["Business Process Outsourcing (BPO)"],"lifecycle":[{"event":"open","at":"2026-11-09T09:35:15Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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