... data analysis, including preprocessing, feature engineering, and leveraging Generative AI ... machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI ...
... data analysis, including preprocessing, feature engineering, and leveraging Generative AI ... machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI ...
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Prior experience working in a data driven research environment * Experience with translating ... Excellent analytical skills, with strong attention to detail * Collaborative mindset with strong ...
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Forrester's Senior Analyst is a critical member of the data, AI, and analytics research team focused on the data foundations that support analytics and machine learning. Our research serves ...
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Data Analyst Machine Learning information
What are the key skills and qualifications needed to thrive in the data analyst machine learning role?
To thrive as a Data Analyst Machine Learning, you need strong analytical skills, a background in statistics or mathematics, and experience in data preprocessing, model building, and evaluation. Familiarity with programming languages such as Python or R, experience with machine learning libraries (like scikit-learn or TensorFlow), and relevant certifications (such as Google Data Analytics or AWS Certified Machine Learning) are highly beneficial. Effective communication, problem-solving, and collaboration skills help distinguish top performers in this role. These abilities are crucial for transforming raw data into actionable insights, presenting findings clearly, and driving data-informed decisions in business settings.
Do data analysts do machine learning?
What is a data analyst machine learning?
A Data Analyst Machine Learning job involves analyzing large datasets to extract insights and support decision-making using machine learning techniques. Professionals in this role clean, preprocess, and visualize data while building and evaluating predictive models. They work with programming languages like Python or R, use tools such as SQL and Tableau, and apply statistical methods to uncover patterns. This role bridges data analysis and machine learning by transforming raw data into actionable insights. Typically, they collaborate with data scientists, engineers, and business stakeholders to drive data-driven strategies.
What are the typical career progression opportunities for someone in a data analyst machine learning role?
Many professionals begin as Data Analysts with a focus on machine learning and, as they gain experience, can advance to roles such as Machine Learning Engineer, Data Scientist, or Analytics Manager. Career growth often involves taking on more complex projects, leading analytical teams, and contributing to strategic decision-making within the organization. Expanding your expertise in advanced machine learning techniques, big data tools, and business acumen can open doors to leadership positions. Additionally, working cross-functionally with engineering, product, and business teams provides valuable exposure and opportunities for further advancement.
What is the salary of data analyst in AI ML?

Job description
Role: Jr-Mid Machine Learning Engineer
(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)
Summary:
Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients.
About Adidev Technologies Inc.
Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.
Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.
Global Presence: Our diverse employee workforce spans four continents.
Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.
How We'll Guide You
Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.
Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.
Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.
Career Growth: We facilitate industry experience to propel your technical journey forward.
Key Responsibilities:
· Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
· Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
· Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
· Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
· Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
· Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
· Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
· Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
· Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.
Requirements:
· Degree in Computer Science, Engineering, Statistics, or a related technical field.
· Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.
· Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.
· Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.
· Strong foundational understanding of algorithmic complexity and data structure optimization.
· Excellent problem-solving, collaboration, and communication abilities.
· Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.
· Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
· Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.
· Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
· Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.
· Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.
· Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.
· Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.
How to Apply:
Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.
Perks and Beyond!
Competitive salary range: Based on experience and market value
Pack your bags! Paid relocation is on us.
Support, even from afar, with our remote assistance.
Regular salary reviews? You betcha!
Ready to Embark?
we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.
Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough
Employment Type: FULL_TIMEAbout Adidev Technologies
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Atlanta, GA, US