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Experience Level
Entry Level
Qualifications
The ideal candidate is currently pursuing a degree in Data Science, Computer Science, or a related field. Strong analytical skills, familiarity with programming languages such as Python or R, and a passion for machine learning are essential. Previous experience with data analysis tools or internships in a related field is a plus.
About the job
Join Loka Inc. as a Data and Machine Learning Intern, where you'll have the opportunity to work alongside experienced professionals in an innovative environment. This role will provide you with hands-on experience in data analysis, machine learning algorithms, and real-world problem-solving. You'll be involved in exciting projects that will enhance your skills and knowledge in data science.
About Loka Inc.
Loka Inc. is a forward-thinking tech company dedicated to leveraging data and machine learning to solve complex problems. Our team values innovation, collaboration, and continuous learning, making it an ideal place for aspiring data scientists to grow and thrive.
About Us: At Wizeline, we are a pioneering technology solutions provider specializing in AI-driven digital products and platforms. We collaborate with our clients to harness the power of data and artificial intelligence, fostering business transformation and expediting market entry. Our global community of innovators is dedicated to cultivating a culture of …
Join our innovative team at Experian as a Machine Learning Engineer. In this role, you will leverage your expertise in machine learning and data science to develop cutting-edge algorithms and models that drive our business strategies and enhance our products.We are looking for a passionate engineer who can collaborate with cross-functional teams to implement and optimize machine learning solutions. Your contributions will be pivotal in transforming data into actionable insights.
Join Loka Inc. as a Data and Machine Learning Intern, where you'll have the opportunity to work alongside experienced professionals in an innovative environment. This role will provide you with hands-on experience in data analysis, machine learning algorithms, and real-world problem-solving. You'll be involved in exciting projects that will enhance your skills and knowledge in data science.
Join NielsenIQ as a Mid-Level Data Scientist specializing in Artificial Intelligence. In this role, you will leverage advanced data analytics and machine learning techniques to drive insights and enhance our products. Collaborate with cross-functional teams to transform complex data into actionable strategies that improve our clients' business outcomes.
Role overview Endava seeks a Data Scientist Consultant based in Bogotá. The position centers on transforming complex data into actionable insights that help guide business decisions. Collaboration across multiple teams is a key aspect of the role. What you will do Analyze and interpret data to uncover trends and highlight opportunities. Create and apply solutions aimed at improving both operations and customer experiences. Partner with colleagues from different departments to achieve shared goals.
Join our innovative team at Inetum2 as a Machine Learning Engineer. In this role, you will harness your expertise in artificial intelligence algorithms and data science to develop cutting-edge machine learning models that drive our business solutions. We are looking for a passionate engineer who thrives in a fast-paced environment and is eager to solve complex challenges.
Join NEORIS, a leading digital transformation partner, dedicated to propelling organizations into the future. With two decades of expertise and a team of over 4,000 professionals across 11 countries, we thrive on a multicultural startup culture that champions innovation and continuous learning, delivering high-value solutions to our esteemed clients.We are on the lookout for a seasoned Senior Data Scientist to spearhead our technical vision and execution of advanced analytics and AI/ML solutions. This pivotal role marries in-depth data science knowledge with exceptional technical leadership and stakeholder engagement abilities.
Join NielsenIQ as a Senior Data Scientist, where your expertise will drive data-driven decisions that shape the future of our clients. You will leverage advanced analytical techniques and machine learning algorithms to extract valuable insights from complex datasets, providing actionable recommendations to enhance business performance.
Join Endava as a Data Scientist specializing in Computer Vision, where you will leverage your analytical skills to develop innovative solutions that enhance visual data processing and machine learning applications. You’ll work collaboratively with cross-functional teams to drive impactful projects that influence our clients' success.
At NEORIS, we are a pioneering digital accelerator with 20 years of experience, enabling businesses to navigate their digital transformation journeys. With a workforce of over 4,000 professionals across 11 countries, we foster a vibrant, multicultural startup environment that thrives on innovation and continuous learning, crafting high-impact solutions for our clients. We are on the lookout for an enthusiastic Mid-Level Data Scientist who possesses a strong foundation in Python, statistical analysis, and machine learning to help us develop data-driven and AI-enhanced solutions. In this role, you will work closely with senior data scientists, engineers, and business stakeholders to analyze complex datasets, construct predictive models, and contribute to scalable analytics and AI applications. This opportunity allows data professionals to expand their expertise in Machine Learning, Generative AI, and cutting-edge data science methodologies while tackling real-world business challenges. You will acquire hands-on experience in building models and applications that are vital for production environments.
Join our dynamic team at lago-1 as a Data Scientist in a fully remote role based in Colombia! This position offers flexible working hours from 9 AM to 6 PM Eastern Time. We offer a competitive salary of up to $2,200 based on your experience.As a Data Scientist, you will play a crucial role in harnessing the power of data to drive strategic decisions in marketing, operations, and product development. Your primary responsibilities will include analyzing extensive datasets to derive actionable insights, developing predictive models, and automating reporting processes. You will collaborate with cross-functional teams to enhance customer retention, optimize advertising expenditures, and streamline operational processes.The ideal candidate is not only passionate about leveraging data for growth but also possesses strong analytical skills and experience with eCommerce datasets.
Endava is seeking a skilled and passionate Data Scientist specializing in Computer Vision to join our dynamic team in Cali. In this role, you will leverage your expertise in machine learning and computer vision to develop innovative solutions that enhance our clients' offerings. You will work closely with cross-functional teams to analyze complex datasets and implement models that drive business insights.
This Senior Machine Learning Engineer position is based in Colombia and follows a hybrid work model. Role overview This role centers on designing, developing, and maintaining software solutions that use machine learning. The position involves collaborating with teams from different backgrounds to understand business needs and translate them into scalable, efficient applications. Senior engineers in this role lead technical projects, provide guidance to junior team members, and help improve development practices to deliver reliable systems. Main responsibilities Design, build, and deploy scalable machine learning models and pipelines throughout the machine learning lifecycle. Develop and refine data processing workflows using Python, SQL, and distributed tools such as PySpark. Deploy and monitor machine learning models in cloud environments, focusing on performance, reliability, and scalability. Work with cross-functional teams to address business problems using data-driven approaches and improve model performance. Work mode This is a hybrid role, combining on-site and remote work in Colombia.
Join Provectus as a Machine Learning Solution Architect where you'll leverage your expertise to design and implement cutting-edge machine learning solutions. In this role, you will collaborate with cross-functional teams, engage with clients, and drive innovative projects that enhance our capabilities in artificial intelligence.
Join inetum2 as a Machine Learning Engineer and play a pivotal role in developing innovative solutions that leverage machine learning and artificial intelligence. You will collaborate with cross-functional teams to design, implement, and optimize machine learning models that drive data-driven decision-making.
About Us: Wizeline is a leading global technology solutions provider that specializes in AI-driven digital products and platforms. Our mission is to harness the power of data and AI to facilitate swift market entry and catalyze transformative business outcomes. We pride ourselves on fostering a vibrant community of innovators, where growth, collaboration, and impactful results thrive. Join us and unlock your potential! Are You the Right Fit? Excited about the opportunity? Let’s ensure you align with the role: Key Responsibilities: Design and implement end-to-end ML infrastructure, including pipelines, model serving, monitoring, and governance. Lead the deployment of high-impact ML solutions such as forecasting engines, optimization models, and natural language processing applications. Create and manage advanced CI/CD workflows utilizing Azure Pipelines, MLflow, and Databricks. Establish model registry, versioning, lineage, and audit-compliant governance frameworks. Develop and maintain monitoring systems to identify model drift and automate retraining processes. Guide and mentor MLOps engineers while collaborating with platform, data, and product teams to ensure seamless integration. Promote the adoption of MLOps best practices across containerization, observability, testing, and scalable infrastructure. Essential Qualifications: 3-5 years of experience in ML Engineering, MLOps, or developing large-scale ML systems. Strong expertise in Spark, Azure Databricks, MLflow, Kubernetes, and Docker. Demonstrated success in deploying ML solutions at an enterprise level with audit, governance, and monitoring components. Experience designing ML infrastructure and CI/CD pipelines within cloud environments. Familiarity with hybrid or multi-cloud architectures. Bachelor’s degree required; Master’s preferred in Computer Science, Engineering, or related fields. Preferred Skills: Proficiency in AI Tools: Utilize AI tools to enhance daily operations, including drafting, analysis, research, or process automation. Offer recommendations for effective AI utilization and identify opportunities to streamline workflows.
At Frontera, we are transforming the landscape of care for children with autism and other behavioral health needs. Our dedicated team, comprising elite clinicians, technologists, and autism specialists, collaborates to create innovative AI tools that empower care teams to enhance their effectiveness, allowing them to devote more time to the children and families who need it most.Our platform is fully HIPAA-compliant and tailored to the practical requirements of behavioral health teams, ranging from psychologists to ABA therapists. By merging evidence-based practices with state-of-the-art technology, we are broadening access to premium services for families across the globe.Our MissionFrontera is committed to bridging the care gap: every child, regardless of location, should have access to effective behavioral healthcare.The RoleAs a Backend Engineer on our Machine Learning Platform team, you will play a crucial role in developing and maintaining the foundational systems that drive Frontera's AI and ML functionalities. This includes building training pipelines, model inference APIs, and video processing frameworks. You will design robust, scalable pipelines for ingesting, transforming, and serving extensive datasets utilized for ML training and predictions. Collaborating closely with machine learning scientists, data engineers, and product engineers, you will ensure that models can be efficiently trained, deployed, and updated, while facilitating rapid experimentation and long-term scalability. Your contributions will directly enable ML-driven features that empower care teams to work more efficiently and reach a wider audience of children in need.
Join NielsenIQ as a Lead Data Scientist, where you will play a pivotal role in leveraging data to drive business decisions. You will lead a team of skilled data scientists, applying advanced analytical techniques to interpret complex datasets and provide actionable insights. Your expertise will help shape strategic initiatives and contribute to the overall success of our projects.
At Provectus, we empower organizations to harness the transformative power of machine learning and artificial intelligence, redefining their operational dynamics, enhancing competitive advantages, and maximizing value creation. Our primary mission revolves around developing robust ML infrastructure that facilitates comprehensive AI transformations, guiding businesses in selecting optimal AI use cases, and scaling their AI efforts across various sectors including Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet enterprises. As a Senior Machine Learning Engineer, you will be presented with abundant opportunities for professional development and career advancement. Join us in our mission to create a brighter future for everyone!
NEORIS is a Digital Accelerator that empowers companies to embrace the future, backed by 20 years of experience as Digital Partners for some of the world's largest corporations. With a diverse team of over 4,000 professionals across 11 countries, we foster a multicultural startup culture that nurtures innovation and continuous learning to deliver high-value solutions to our clients.We are on the lookout for a talented Data Scientist to join our dynamic team.Key Responsibilities:Expertly analyze, interpret, and transform data into actionable insights to support strategic decision-making. Utilize a combination of statistical skills, programming expertise, and business acumen to develop predictive models, identify patterns, and tackle complex challenges using data.