דרושים » תוכנה » Experienced AI Software Engineer

Requirements:
What You Bring
5+ years of professional software engineering, MLOps, or ML platform engineering experience in production environments.
Significant experience building or owning production ML infrastructure and lifecycle systems.
Strong Python engineering skills with production-grade architecture, modular design, testing, packaging, and robust error handling.
Strong understanding of the end-to-end ML lifecycle including training, deployment, monitoring, retraining, reproducibility, and lineage.
Experience working with large-scale data platforms such as Databricks, Spark, Delta Lake, or equivalent ecosystems.
Experience with ML platform and MLOps frameworks such as MLflow, Metaflow, Kubeflow, or equivalent ML lifecycle-management systems.
Proven ability to design reusable workflow orchestration using Airflow, Metaflow, or Databricks, covering automation, scheduling, dependency management, and production reliability.
Familiarity with operational patterns for LLMOps, AgentOps, and production AI systems.
Strong written and verbal communication skills in English.

Nice to Have
Experience with industrial, IoT or manufacturing platforms.
Experience with feature stores, model registries, dataset versioning, and lineage systems.
Experience with AI agents, RAG systems, production GenAI applications, or evaluation frameworks.

Requirements:
What You Bring
Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related engineering discipline, or equivalent practical experience.
5+ years of professional software engineering experience, including substantial experience building backend systems, distributed systems, or data-intensive applications in production environments.
Strong Python engineering skills, including modular architecture, dependency management, testing practices, observability, and production-grade code quality.
Strong SQL and data modeling expertise, including schema design, indexing strategies, event-driven data models, and scalable analytical aggregations.
Hands-on experience building incremental and idempotent data pipelines that handle duplicate, invalid, and late-arriving events without impacting downstream consumers.
Experience with at least one major cloud platform (Azure, GCP, or AWS) and modern lakehouse technologies such as Databricks, Delta Lake, Spark, or equivalent architectures.
Experience with streaming or messaging technologies such as Kafka, Pub/Sub, Event Hubs, or similar event-driven systems.
Proven ability to diagnose and resolve production data issues, including data quality problems, schema evolution, backfills, replay scenarios, and performance bottlenecks.
Strong written and verbal communication skills in English and experience collaborating effectively with globally distributed teams.

Nice to Have
Experience building industrial, IoT, manufacturing, or operational data platforms.
Familiarity with Digital Twin architectures and industrial data models.
Experience with graph databases, context graphs, knowledge graphs, or relationship-centric data modeling.
Exposure to AI/LLM-powered applications, including retrieval-augmented generation (RAG), agents, tool calling, or evaluation frameworks.
Experience working with Databricks or similar lakehouse platforms from both application and platform perspectives.
Experience building data products that directly support AI agents, intelligent applications, or machine learning workflows.

Requirements:
Basic Qualifications
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
- 5+ years of non-internship professional software development experience
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design.
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.

Preferred Qualifications
- Experience building server-side rendered web experiences (SSR) and performance-oriented UI rendering patterns.
- Experience with experimentation (A/B testing), analytics instrumentation, and metrics-driven iteration.
- Familiarity with AI/ML integration and generative AI applications.
- Experience with end-to-end SDLC ownership, including operations and on-call, monitoring/metrics, and incident response/RCA.
- Experience mentoring engineers and driving engineering best practices.

Requirements:
Basic Qualifications
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
- 5+ years of non-internship professional software development experience
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design.
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.

Preferred Qualifications
- Experience building server-side rendered web experiences (SSR) and performance-oriented UI rendering patterns.
- Experience with experimentation (A/B testing), analytics instrumentation, and metrics-driven iteration.
- Familiarity with AI/ML integration and generative AI applications
- Experience with end-to-end SDLC ownership, including operations and on-call, monitoring/metrics, and incident response/RCA.
- Experience mentoring engineers and driving engineering best practices.

Requirements:
3-6 years of building SaaS applications, preferably in a service-oriented architecture
Bachelors Degree in Computer Science, Software Engineering, or equivalent.
Expertise in modern web development frameworks, C#, Java, or equivalent.
Experience in writing optimized SQL and working against various different datastores.
Demonstrated success with scalable web applications or messaging systems
Experience with web security is a plus.

Requirements:
M.Sc., or Ph.D. in Electrical Engineering, Computer Science, Physics, Mathematics, or a related field.
4+ years of experience in ML applications, including research on time-series data, ML-based vectoring, and Embeddings (as Transformers, TGNN, TSFM, Graph Transformer, GNN, CNN, etc.)
Proficiency in Python (Pytorch, Pandas, NumPy, PyG - nice to have), and Applied Science SDLC - Discovery, Research, development, fidelity, deployment, monitoring, Training, and fine-tuning
Experience in anomaly detection, abnormal behavior, outliers, pushing recall, precision, and tail metrics KPIs boundaries
Experience working with ML infrastructure such as MLFlow, Vertex AI, Sagemaker etc.
The ability to translate research into scalable, production-ready solutions.
Experience working on Agile teams with a passion for fast iterations, feedback, and continuous learning.
Proven ability to collaborate with diverse, cross-functional groups, including product managers, infrastructure, and data engineering teams.
Experience in feature engineering-based signal processing - a big advantage.

Requirements:
Minimum qualifications:
Bachelors degree or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
1 year of experience with data structures or algorithms.
1 year of experience building developer tools (e.g., compilers, automated releases, code design and testing, test automation frameworks).
1 year of experience using AutoML techniques for natural language processing tasks.
Preferred qualifications:
Familiarity with heavy data pipelines.
Familiarity with developing and fine-tuning LLMs.
Familiarity with production systems/services (Maintaining high-QPS, high-availability, low-latency services).

Requirements:
Basic Qualifications
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design.
- Strong experience in software development.

Preferred Qualifications
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- An interest or experience in the field of Computer Vision and/or Recommendation Systems.
- Experience of or interest in working with applied science teams and deploying ML model in scale.
- Strong bias for action; ability to juggle multiple priorities and create a sense of urgency in a fast-paced, dynamic environment.

Requirements:
Basic Qualifications
- Knowledge of programming languages such as C/C++, Python, Java or Perl.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
- PhD, or a Master's degree and experience in CS, CE, ML or related field research.
- Strong communication and collaboration skills.

Preferred Qualifications
- Experience in building and launching deep learning and machine learning models for business applications.
- Solid knowledge of big data and cloud technologies (e.g., Spark, AWS, etc.).
- Experience with information retrieval, recommender systems, natural language processing, and/or personalization algorithms.
- Publications at top Web, Machine Learning, Natural Language Processing conferences such as KDD, ICML, NeurIPS, ACL, EMNLP, etc.