{"id":3412298,"url":"https://alion.io/job/bridge-next-data-scientist-machine-learning-engineer","title":"Data Scientist / Machine Learning Engineer","company":{"id":2442558,"name":"Bridge Next","domain":"bridgenext.com","url":"https://alion.io/company/bridgenext","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Argentina"],"countries":["AR"],"hiring_countries":["AR","CO"],"hiring_countries_total":2,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Computer Vision","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-28T18:19:47Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-01T04:34:34Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Company Overview\nAt Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that function, but no system that wins. We help growth-hungry companies close that gap by turning fragmented platforms, siloed teams, and disconnected data into one integrated Growth OS. More than a technology company or marketing agency, we're a global digital consultancy with experts in engineering, data, AI, creative and more.\nOur teams are made up of experts who believe in engineering impact, starting with putting people at the center of everything we do. Every team member directly shapes our work, culture, and values. Nothing matters more to us than a kind, respectful, fulfilling environment that supports everyone. Our flexible, inclusive culture gives you the autonomy, resources, and opportunities to thrive\nPosition Description\nWe are seeking an experienced and innovative Data Scientist/Machine Learning Engineering to join our dynamic team. The ideal candidate will have a strong background in AI and machine learning, with expertise in various areas of natural language processing and computer vision.\nResponsibilities:\nOversee the fine-tuning of open-source Large Language Models\nDesign and implement advanced text processing and computer vision algorithms\nDevelop and optimize inference engines for efficient model deployment\nCollaborate with cross-functional teams to integrate ML solutions into our products\nStay current with the latest advancements in AI and machine learning technologies\nImplement and maintain best practices for data processing and model development\nEnsure adherence to Agile methodologies throughout the development process\nCollect, clean, and preprocess large datasets from various sources\nDevelop and implement machine learning models and algorithms to solve complex business problems\nPerform exploratory data analysis to identify trends, patterns, and insights\nCollaborate with stakeholders to understand business requirements and translate them into data-driven solutions\nCommunicate findings and insights through data visualizations and reports\nStay up-to-date with the latest advancements in data science and machine learning technologies\nWorkplace: This is a remote position for candidates based in Colombia or Argentina only\nMust Have Skills:\nAdvanced degree in Computer Science, Machine Learning, or a related field\nExtensive experience in machine learning, with a focus on natural language processing and computer vision\nProven track record of leading ML engineering teams and projects\nStrong proficiency in Python and related ML frameworks (e.g., TensorFlow, PyTorch)\nExperience with fine-tuning and deploying large language models\nExpertise in developing and optimizing inference engines\nSolid understanding of data processing techniques and best practices\nFamiliarity with Agile development methodologies\nExcellent communication and leadership skills\nAbility to work in a fast-paced, collaborative environment\nStrong programming skills in Python, R, or other relevant languages\nExperience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn\nProficiency in SQL and experience with database management\nExcellent analytical and problem-solving skills\nStrong communication and presentation skills\nAbility to work collaboratively in a team environment\nKnowledge of deep learning techniques and frameworks\nExperience with data visualization tools such as Tableau or Power BI\nProfessional Skills:\nStrong problem-solving skills and the ability to troubleshoot complex system issues\n\nExcellent English communication and leadership skills, with the ability to work collaboratively across teams\n\nStrong organizational and time management skills\nMaintains composure during all types of situations and is collaborative by nature\nHigh standards of professionalism, consistently producing high quality results\nBridgenext is an Equal 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