{"id":1265879,"url":"https://alion.io/job/quaxigma-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":3808011,"name":"QuaXigma","domain":"qximpact.com","url":"https://alion.io/company/quaxigma","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":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tirupati, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"FastAPI","optional":false},{"name":"LightGBM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Prophet","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-09-08T14:00:46Z","employer_posted_date":null,"last_verified_at":"2026-09-08T14:00:46Z","board_verified":false,"closed_at":null,"days_open":21,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":21},"description":"About Us:\n\nThe QX Impact was launched with a mission to make A.I accessible and affordable and deliver AI Products/Solutions at scale for the enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights; businesses will continue to face challenges to better understand their customers and even lose them. Secondly, without insights businesses won't be able to deliver differentiated products/services; and finally, without insights, businesses cant achieve a new level of Operational Excellence is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.\n\nRole Overview:\n\nWe are seeking a Machine Learning Engineer to lead the end-to-end development of production-grade analytical applications. This is a high-impact role requiring a blend of deep statistical modeling and machine learning. You will be responsible transforming raw consolidated data into high-accuracy forecasts through advanced feature engineering, rigorous model selection, and statistical validation.\n\nThis role is for an engineer who thrives in the research-to-code transition, ensuring that every model is mathematically sound, resistant to overfitting, and optimized for high-dimensional manufacturing data.\n\nResponsibilities:\n\n- Feature Engineering & Discovery: Design and build complex feature sets for diverse problem types, including behavioural features for churn, sensor-based lags for maintenance, and seasonal encodings for demand forecasting.\n\n- Model Selection & Optimization: Conduct systematic experimentation across diverse algorithms (e.g., XGBoost, LightGBM, Prophet, or Deep Learning) to identify the best-performing models.\n\n- Model Training & Testing: Develop, train, tune, and test a variety of ML architectures including time-series, classification and regression.\n\n- Statistical Validation & Evaluation: Define and track complex evaluation metrics tailored to manufacturing, such as MAPE, RMSE, etc., while performing deep-dive bias-variance analysis.\n\n- EDA & Research: Perform exploratory data analysis on consolidated \"Gold\" layer data to uncover hidden drivers of business outcomes and identify correlations between external signals.\n\n- Refinement & Performance Tuning: Address critical modeling challenges including bias-variance tradeoffs, class imbalance, and overfitting to ensure models generalize to real-world production data.\n\nSkills & Requirements:\n\n- 3+ Years of Experience: Proven track record of developing and delivering production-grade ML models across multiple domains (Sales, Finance, Manufacturing, or Supply Chain).\n\n- Mastery of the Python Ecosystem: Expert-level skills in Pandas, NumPy, Scikit-learn, and SciPy.\n\n- Advanced Algorithmic Knowledge: Deep expertise in supervised and unsupervised learning, specifically ensemble methods (Boosting/Bagging) and time-series frameworks.\n\n- Statistical Foundations: Strong grasp of hypothesis testing, probability distributions, and the mathematical principles behind model evaluation and optimization.\n\n- SQL Proficiency: Expert ability to manipulate data within consolidated database layers to create the \"Silver\" feature sets required for training.\n\n- Education: Bachelors or Masters degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, or Computer Science).\n\n- Cloud Awareness: Experience with Azure Machine Learning or similar cloud modelling environments.\n\n- Engineering Familiarity: Basic understanding of Docker, MLflow, or FastAPI for handing models off to deployment teams.\n\nPersonal Attributes:\n\n- Strong problem-solving skills with a passion for data architecture.\n\n- Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders.\n\n- Highly collaborative, capable of working with cross-functional teams.\n\n- Ability to thrive in a fast-paced, agile environment while managing multiple priorities effectively.\n\nCompetencies:\n\n- Tech Savvy: Anticipating and adopting innovations in business-building digital and technology applications.\n\n- Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels.\n\n- Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.\n\n- Customer Focus: Building strong customer relationships and delivering customer-centric solutions.\n\n- Optimize Work Processes: Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.\n\nWhy Join Us?\n\n- Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.\n\n- Work on impactful projects that make a difference across industries.\n\n- Opportunities for professional growth and continuous learning.\n\n- Competitive salary and benefits package.\n\nApplication Details:\n\nReady to make an impact? Apply today and become part of the QX Impact team!\nSkills\nMachine Learning, Python, Data Science, SQL, Statistical Modeling, EDA, Numpy, Pandas","description_format":"text","description_chars":5072,"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":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T22:00:00Z"}],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":0.85,"p_active":0.665,"p_room":0.55,"age_days":20,"expected_fill_days":17,"reasons":["seen:20","velocity","win:tail"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/quaxigma-machine-learning-engineer","json_url":"https://alion.io/job/quaxigma-machine-learning-engineer.json","meta":{"generated_at":"2026-09-30T02:08:13Z","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":1535,"day_limit":5000,"remaining_today":3465,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}