{"id":116310,"url":"https://alion.io/job/mutt-data-machine-learning-engineer-lead","title":"Machine Learning Engineer Lead","company":{"id":19043,"name":"Mutt Data","domain":"muttdata.ai","url":"https://alion.io/company/mutt-data","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":79,"open_postings":12,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Argentina"],"countries":["AR"],"hiring_countries":["AR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":59000,"max_usd":141000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1119},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Plotly","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"XGBoost","optional":false},{"name":"Docker","optional":true},{"name":"Keras","optional":true},{"name":"MLFlow","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2023-11-02T20:34:56Z","employer_posted_date":"2023-11-02","last_verified_at":"2026-10-17T10:56:51Z","board_verified":true,"closed_at":null,"days_open":1079,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":1079},"description":"Join Our Data Products and Machine Learning Development Remote Startup!\nMuttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.\nWe’re looking for a Machine Learning Engineer Lead to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect!\nWhat We Do\nLeveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.\nDeveloping scalable data infrastructures, we enhance high-level decision-making, tailored to each client.\nOffering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.\nUsing Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.\nBuilding deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.\nDeveloping recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.\nOur Partnerships\nAmazon Web Services\nAstronomer\nDatabricks\nOur Values\n We are Data Nerds\n We are Open Team Players\n We Take Ownership\n We Have a Positive Mindset\nCurious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on!\nResponsibilities\nLead and mentor the team, fostering skill development and best practices.\nGuide the creation of SPECs and ensure clear documentation.\nAct as the main point of contact for stakeholders, ensuring alignment between technical and business goals.\nDevelop and optimize data and ML solutions, integrating best practices for scalability and monitoring.\nOversee the full lifecycle of data pipelines and models-from EDA and feature engineering to deployment and continuous improvement.\nBuild Proof of Concepts (POCs) to validate and refine solutions.\nOptimize performance, latency, memory, and throughput across data systems.\nDesign and maintain feature stores and data pipelines to support workflows.\nResearch and implement emerging technologies to enhance solutions.\nParticipate in candidate interviews and evaluations to help Mutt grow.\nRequired Skills\nExperience leading and mentoring teams in Data projects, guiding technical decisions, and fostering team growth.\nProven ability to collaborate with stakeholders, translate business needs into technical solutions, and align priorities across teams.\nExperience implementing ML-based systems, including model lifecycle management, monitoring, and MLOps pipeline setup.\nStrong proficiency in Python (Pandas, Numpy, Jupyter, Scikit-Learn, XGBoost, Plotly).\nKnowledge of SQL.\nExperience with cloud platforms (AWS, GCP, Azure).\nNice to Have\nExperience with ML workflows (Airflow, MLflow, H2OAI, Databricks).\nBackground in AdTech or Generative AI projects.\nUnderstanding of Deep Learning frameworks (Keras, PyTorch, TensorFlow).\nSolid command of English for understanding and communicating technical concepts (Design Documents, etc.).\nBasic knowledge of Docker.\nPerks\nRemote-first culture - work from anywhere! 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