דרושים Software Engineer בכל הארץ

About the Client

Our client is a dynamic IT services firm operating across the EMEA region, dedicated to empowering organizations through cutting‑edge technology, digital strategy, and tailored service delivery. With a commitment to innovation, operational excellence, and client success, the company partners with businesses to streamline workflows, enhance systems, and deliver measurable results in today’s digital environment.

About the Role

This AI/ML Engineer position is tailored for a professional with a strong background in artificial intelligence and machine learning, focused on delivering advanced solutions for an IT services company operating across the EMEA region. The role is fully remote, offering flexibility and the opportunity to collaborate with diverse, cross-functional teams. The primary purpose of this position is to design, develop, and deploy robust machine learning models and algorithms that address complex business challenges and drive innovation in client-facing products and internal services. The impact of this role extends to enhancing the company's technological capabilities and delivering measurable value to clients across various industries.

Key Responsibilities

• Design, develop, and implement scalable machine learning models and algorithms to address complex business and technical problems for clients in diverse sectors.
• Collaborate with data scientists, software engineers, and domain experts to define project requirements, data needs, and success metrics for AI/ML initiatives.
• Preprocess, clean, and analyze large-scale structured and unstructured datasets using advanced data engineering techniques.
• Evaluate, select, and optimize machine learning algorithms, including supervised, unsupervised, and deep learning approaches, to maximize model performance and reliability.
• Deploy machine learning models into production environments using MLOps best practices, ensuring scalability, maintainability, and monitoring of deployed solutions.
• Conduct rigorous model validation, performance tuning, and error analysis to ensure accuracy, fairness, and compliance with industry standards.
• Document model architectures, data pipelines, and experimental results to facilitate knowledge sharing and reproducibility.
• Stay current with the latest advancements in AI/ML research, tools, and frameworks, and proactively recommend innovative solutions for client projects.
• Provide technical guidance and mentorship to junior engineers and contribute to internal knowledge-sharing sessions.
• Collaborate with project managers and stakeholders to communicate technical concepts, project progress, and deliverables effectively.

Required Experience & Skills

• Proven experience (3+ years) in designing, developing, and deploying machine learning models in production environments, preferably within IT services or consulting contexts.
• Advanced proficiency in Python and its ML ecosystem (e.g., scikit-learn, TensorFlow, PyTorch, Keras, pandas, NumPy) for model development and data analysis.
• Strong understanding of classical machine learning algorithms (regression, classification, clustering) as well as deep learning architectures (CNNs, RNNs, transformers).
• Experience with data preprocessing, feature engineering, and handling large-scale datasets using tools such as SQL, Spark, or Hadoop.
• Familiarity with MLOps practices, including model versioning, CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
• Proficiency in deploying models as APIs or microservices using frameworks like Flask, FastAPI, or similar.
• Solid grasp of cloud platforms (AWS, Azure, or GCP) for scalable model training, deployment, and data storage.
• Excellent problem-solving skills, with the ability to translate business requirements into technical solutions.
• Strong communication and collaboration skills, with experience working in distributed, multicultural teams.
• Ability to work independently in a remote environment, demonstrating self-motivation and effective time management.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field.
• Additional certifications in machine learning, deep learning, or cloud technologies are considered an asset.
• Demonstrated track record of delivering successful AI/ML projects in a professional setting.
• Experience working with clients or stakeholders in the EMEA region is advantageous.

Tools & Technologies

• Programming Languages: Python (primary), R (optional), SQL
• ML/DL Frameworks: scikit-learn, TensorFlow, PyTorch, Keras
• Data Processing: pandas, NumPy, Spark, Hadoop
• MLOps & Deployment: Docker, Kubernetes, MLflow, DVC, CI/CD tools (Jenkins, GitHub Actions)
• Cloud Platforms: AWS (SageMaker, S3), Azure (ML Studio), Google Cloud Platform (AI Platform)
• API Development: Flask, FastAPI
• Version Control: Git
• Visualization: Matplotlib, Seaborn, Plotly

This role offers the opportunity to work at the forefront of AI and machine learning innovation, delivering impactful solutions to a diverse client base across the EMEA region. The position provides a dynamic, remote working environment with significant opportunities for professional growth, technical leadership, and exposure to a wide range of industries and cutting-edge technologies.

By applying to this position, you are granting us permission to process your CV and keep your profile on file for consideration for this and future opportunities.