{"id":1137575,"url":"https://alion.io/job/weekday-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"is_intermediary":false,"ats_vendor":"Workable","truth_index":{"grade":"B","score":81,"open_postings":88,"ghost_share":0,"stale_share":0.977,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-09-23T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"explicit","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Computer Vision","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"MLFlow","optional":true},{"name":"NLP","optional":true},{"name":"PyTorch","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-09-23T08:49:45Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-23T12:49:47Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"This role is for one of Weekday’s clients\nSalary range: Rs 1000000 - Rs 2700000 (ie INR 10 - 27 LPA)\nMin Experience: 6+ years\nLocation: Pune, Maharashtra, India\nJobType: full-time\nWe are looking for an experienced and highly skilled Machine Learning Engineer with 6-10 years of experience in building, deploying, and scaling machine learning solutions for real-world business problems. The ideal candidate will have strong expertise in Machine Learning and Data Science, with a proven ability to work across the complete lifecycle of ML projects-from data preparation and model development to deployment, monitoring, and optimization.\nYou will collaborate closely with data scientists, software engineers, product teams, and business stakeholders to translate complex requirements into reliable, scalable, and production-ready machine learning solutions.\nRequirements\nKey Responsibilities\nDesign, develop, train, and deploy machine learning models for classification, regression, clustering, recommendation, forecasting, and other business use cases.\nApply advanced machine learning techniques to solve complex problems and improve model accuracy, scalability, and performance.\nAnalyze large and complex datasets to identify trends, patterns, relationships, and actionable insights.\nPerform data preprocessing, feature engineering, feature selection, exploratory data analysis, and statistical analysis.\nBuild robust data pipelines and prepare high-quality datasets for machine learning and analytical applications.\nEvaluate models using appropriate metrics, validation techniques, and experimentation frameworks.\nOptimize existing models and algorithms to improve accuracy, latency, scalability, and computational efficiency.\nDeploy machine learning models into production environments and ensure their reliability and maintainability.\nMonitor model performance and identify issues such as data drift, model degradation, and prediction inconsistencies.\nCollaborate with software engineers to integrate ML models into scalable applications, APIs, and production systems.\nConduct experiments, A/B tests, and hypothesis-driven analysis to evaluate new approaches.\nStay updated with developments in machine learning, artificial intelligence, data science, and emerging modeling techniques.\nDocument methodologies, experiments, models, and technical decisions for effective knowledge sharing.\nMust-Have Skills\nStrong hands-on expertise in Machine Learning and Data Science.\n6-10 years of professional experience in machine learning, data science, or a closely related field.\nStrong understanding of supervised and unsupervised learning algorithms.\nProficiency in Python and commonly used machine learning and data science libraries such as Scikit-learn, Pandas, NumPy, and SciPy.\nStrong knowledge of statistics, probability, optimization, and mathematical foundations of machine learning.\nExperience with feature engineering, model selection, hyperparameter tuning, and model evaluation.\nStrong SQL skills and experience working with large datasets.\nExperience taking machine learning models from experimentation to production deployment.\nUnderstanding of ML lifecycle, model monitoring, versioning, and performance optimization.\nStrong analytical and problem-solving skills with the ability to translate business problems into machine learning solutions.\nGood to Have\nExperience with deep learning frameworks such as TensorFlow or PyTorch.\nExposure to NLP, recommendation systems, computer vision, time-series forecasting, or generative AI.\nExperience working with cloud platforms such as AWS, Azure, or GCP.\nFamiliarity with Docker, Kubernetes, MLflow, CI/CD, and MLOps practices.\nExperience working with distributed data processing technologies such as Spark.","description_format":"text","description_chars":3758,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-23T08:49:45Z"}],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.516,"p_room":1,"age_days":0,"expected_fill_days":5,"reasons":["conf:0","agency","win:early","comp:brand"],"computed_at":"2026-09-23T13:08:50Z"},"pay":null,"html_url":"https://alion.io/job/weekday-machine-learning-engineer","json_url":"https://alion.io/job/weekday-machine-learning-engineer.json","meta":{"generated_at":"2026-09-23T13:08:50Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}