{"id":104267,"url":"https://alion.io/job/transperfect-senior-aiml-engineer","title":"Senior AI/ML Engineer","company":{"id":5116,"name":"TransPerfect","domain":"transperfect.com","url":"https://alion.io/company/transperfect","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":92,"open_postings":208,"ghost_share":0.053,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":176,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":24000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Docker","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","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":"Amazon ECS","optional":true},{"name":"Amazon Neptune","optional":true},{"name":"Amazon S3","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Azure","optional":true},{"name":"BigQuery","optional":true},{"name":"CI/CD","optional":true},{"name":"Edge AI","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"GitHub","optional":true},{"name":"GitHub Actions","optional":true},{"name":"GitLab","optional":true},{"name":"GitLab CI","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Jenkins","optional":true},{"name":"LightGBM","optional":true},{"name":"LiteRT","optional":true},{"name":"Neptune.ai","optional":true},{"name":"ONNX","optional":true},{"name":"TensorBoard","optional":true},{"name":"TensorRT","optional":true},{"name":"TFLite","optional":true},{"name":"Weights & Biases","optional":true},{"name":"XGBoost","optional":true}],"status":"live","first_seen_at":"2026-04-15T00:00:00Z","employer_posted_date":"2026-04-15","last_verified_at":"2026-10-17T04:32:46Z","board_verified":true,"closed_at":null,"days_open":185,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":185},"description":"TransPerfect Is More Than Just a Job…\nOur greatest asset is our people, and nothing is more important to us than ensuring that everyone knows that. Each of our 100+ offices has its own individual identity, and each also has its own unique rewards.\nContract: 12 months (with potential extension based on performance)\nClient: A leading multinational telecommunications company - Motorola\nWe are seeking a Senior AI/ML Engineer to join our client’s AI team and contribute to the development of cutting-edge intelligent systems. In this role, you’ll be responsible for designing, training, and deploying machine learning models that power innovative features across devices and services. This is an exciting opportunity to work with a global technology leader in the telecommunications sector, applying your expertise to real-world applications that impact millions of users.\nResponsibilities\nDevelop and fine-tune machine learning algorithms.\nConduct experiments, evaluate model performance, and suggest improvements.\nLead and collaborate with engineers to implement production-ready AI solutions.\nDocument processes and results for scalability.\nRequirements\nBachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.\n5-7 years of experience in developing and deploying machine learning models.\nAt least 3 years of experience leading a team.\nProficiency in Python and popular ML frameworks such as TensorFlow, PyTorch, and scikit-learn.\nStrong understanding of data preprocessing, model evaluation, and hyperparameter tuning.\nExperience with SQL, Pandas, NumPy, and working with structured and unstructured data.\nFamiliarity with MLOps tools (Docker, Kubernetes, MLflow, Airflow) is a plus.\nExperience with cloud platforms (AWS, Azure, or GCP) preferred.\nTech Stack\n Programming & ML Frameworks\nPython\nTensorFlow\nPyTorch\nscikit-learn\nXGBoost / LightGBM (common in practical ML pipelines)\nData & Analytics\nNumPy, Pandas\nSQL\nJupyter Notebooks\nData preprocessing & feature engineering tools\n Cloud / Infrastructure\nAWS (S3, SageMaker, Lambda, ECS)\nAzure (ML Studio, Blob Storage)\nGCP (AI Platform, BigQuery)\n(Any of the three-whichever the client prefers)\nVersion Control & CI/CD\nGit / GitHub / GitLab\nJenkins, GitHub Actions, or GitLab CI\n Development & Experimentation Tools\nTensorBoard\nWeights & Biases (W&B) or Neptune.ai\nONNX (optional but common for deployment/optimization)\n Other Useful Skills (common for telecom/edge AI)\nExperience with edge AI model optimization (TensorRT, CoreML, 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