• Senior AI / Machine Learning Engineer
• Senior Data Engineer

What a Typical Day May Include:

• Attending daily standups, sprint planning and client meetings
• Discussing project requirements and technical solutions
• Clarifying priorities with clients and engineering teams
• Providing accurate progress updates
• Coordinating technical implementation and project delivery
• Completing assigned engineering work
• Following security, confidentiality and compliance requirements

• Senior-level professional experience is preferred
• Strong experience in at least one listed technical area
• Ability to discuss technical decisions clearly
• Experience working with distributed or client-facing teams
• Strong written and verbal communication
• Reliable availability for required meetings and working hours
• Ability to work independently and meet project commitments
• Willingness to represent professional experience accurately and personally complete all interviews

Relevant technologies may include:

DevOps/Cloud/SRE: AWS, Azure, GCP, Kubernetes, Docker, Terraform, CI/CD, Linux, monitoring, infrastructure automation and DevSecOps.

AI/ML: Python, PyTorch, TensorFlow, scikit-learn, generative AI, LLMs, NLP, computer vision, MLOps, model deployment and cloud ML platforms.

Data Engineering: Python, SQL, Spark, Databricks, Snowflake, BigQuery, Redshift, Airflow, Kafka, ETL/ELT, data lakes and data warehouses., * Years of relevant experience

• Current availability
• A short pre-interview video introducing yourself, describing your technical background and explaining one recent project

The pre-interview video is required before an applicant can qualify as a candidate. Candidates must personally participate in every stage of the interview process.

Hiring #DevOps #CloudEngineering #SRE #MachineLearning #ArtificialIntelligence #MLOps #DataEngineering #AWS #Azure #GCP #Kubernetes #Python #SQL #TechJobs #RemoteJobs

Talsolution is seeking experienced U.S.-based technical professionals for potential client engagements.