Time2Launch

About the Role We are looking for a Middle AI/ML Engineer to join our AI team and contribute to the development of advanced machine learning models. You will be involved in building and optimizing AI models, ensuring scalability and efficiency in processing multilingual content and computer vision tasks.

Responsibilities

• Develop and optimize machine learning models for computer vision and AI translation.
• Assist in data preprocessing, labeling, and pipeline automation.
• Implement and deploy ML models in production environments.
• Monitor model performance and conduct regular fine-tuning.
• Work closely with senior engineers to improve AI workflows and deployment strategies.
• Document development progress and technical implementations.

Requirements

• 2+ years of experience in Machine Learning and Computer Vision.
• Strong programming skills in Python, PyTorch, and Weights & Biases.
• Familiarity with ML pipeline development and model deployment.
• Basic experience with databases (MongoDB, PostgreSQL) and messaging queues (Kafka).
• Knowledge of AWS cloud infrastructure is a plus.
• Ability to work independently within defined project scopes.

Senior Data Engineer

About the Company

Our company is a leading technology provider specializing in data-driven solutions that help businesses transform their operations and generate insights from complex datasets. We work with clients across various industries globally, building scalable and efficient data infrastructure that powers business intelligence and analytics.

Work Format

• 100% Remote Work
• Flexible schedule
• Opportunity to work from any location

Responsibilities

• Design, build, and maintain scalable data processing pipelines and ETL workflows
• Develop data models and implement data warehousing solutions
• Create and optimize database schemas and queries for performance
• Integrate diverse data sources and ensure data quality and consistency
• Implement and manage big data processing systems using modern technologies
• Collaborate with data scientists and analysts to understand data requirements and provide solutions
• Build data monitoring and validation systems to ensure data integrity
• Design and implement data governance practices and documentation
• Optimize data architecture for cost, reliability, and performance
• Participate in code reviews and mentor junior engineers

Requirements

Mandatory

• 5+ years of experience in data engineering roles
• Strong expertise in SQL and database design (SQL Server, PostgreSQL, MySQL)
• Proficiency in Python and data processing libraries (Pandas, NumPy)
• Experience with ETL tools and frameworks (Airflow, Informatica, Talend, etc.)
• Hands-on experience with big data technologies (Hadoop, Spark, Kafka)
• Knowledge of data warehousing concepts and technologies (Snowflake, Redshift, BigQuery)
• Experience with cloud platforms (AWS, Azure, or GCP) and their data services
• Understanding of data modeling techniques and best practices
• Experience with version control systems (Git) and CI/CD pipelines
• Strong problem-solving skills and attention to detail

Advantages

• Experience with real-time data processing and streaming architectures
• Knowledge of data visualization tools (Tableau, Power BI, Looker)
• Experience with NoSQL databases (MongoDB, Cassandra, Redis)
• Background in implementing data lakes and data mesh architectures
• Knowledge of ML/AI data pipelines and feature engineering
• Experience with infrastructure as code (Terraform, CloudFormation)
• Containerization and orchestration experience (Docker, Kubernetes)
• Experience with graph databases
• Open-source contributions to data engineering projects

Soft Skills

• Excellent communication and ability to explain complex technical concepts to non-technical stakeholders
• Strong collaboration skills for cross-functional teamwork
• Self-motivated with ability to work independently in a remote environment
• Analytical thinking and methodical approach to problem-solving
• Adaptability and eagerness to learn new technologies
• Proactive attitude toward identifying and addressing data issues

We Offer

• Competitive salary (based on experience and skills)
• Modern tech stack and opportunity to work with cutting-edge data technologies
• Clear career progression path
• Additional paid time off
• Regular virtual team-building activities
• Opportunity to work on challenging data projects across various industries

If you're passionate about building robust data systems and want to join a team that values innovation and engineering excellence, we'd love to hear from you. Please submit your resume with relevant experience and projects for consideration.

About the Role As a Senior AI/ML Engineer, you will lead the development and optimization of cutting-edge machine learning models, with a focus on computer vision and multilingual AI applications. Your expertise will be crucial in developing scalable, high-performance solutions that deliver instantaneous AI translations and content generation.

Responsibilities

• Lead the design, development, and deployment of end-to-end machine learning pipelines.
• Optimize and fine-tune computer vision models (e.g., OCR, object detection, video analysis, segmentation).
• Manage data labeling, curation, and preprocessing to ensure high-quality datasets.
• Deploy and maintain ML models in a production environment with real-time monitoring.
• Improve system performance through continuous feedback loops and A/B testing.
• Collaborate with software engineers, data scientists, and product teams to align AI innovations with business objectives.
• Mentor and guide junior engineers in best practices for ML development.

Requirements

• 5+ years of experience in Machine Learning and Computer Vision.
• Strong knowledge of Python, PyTorch, Weights & Biases, and Label-Studio.
• Proficiency in ML pipeline development, training and deployment of models.
• Experience working with databases (MongoDB, PostgreSQL, Elasticsearch) and messaging queues (Apache Kafka).
• Expertise in AWS cloud infrastructure and monitoring tools (ELK, Prometheus, Grafana).
• Ability to independently lead projects and make technical decisions.

About Us:

Time2Mobile is a tech-driven team focused on building flexible digital solutions for fintech, e-commerce, logistics, and beyond. We work with data at every stage — from collection to analytics — developing robust infrastructures that power smart, data-driven decisions.

We're currently looking for a Middle Data Engineer to join our team and help build and scale our data systems and pipelines.

Your Responsibilities:

• Design, develop, and maintain ETL/ELT data pipelines
• Work with cloud data platforms (AWS, GCP, or Azure)
• Build and maintain data warehouse/lakehouse solutions
• Collaborate closely with data analysts, data scientists, and backend engineers
• Ensure data quality, implement monitoring and logging
• Participate in architectural and technical decision-making

What We Expect:

• 2+ years of experience as a Data Engineer
• Strong knowledge of databases (SQL, PostgreSQL, BigQuery, etc.)
• Hands-on experience with orchestration tools (Airflow, Prefect, or similar)
• Proficiency in Python for data-related tasks
• Understanding of data warehouse/lakehouse architectures
• Familiarity with scalable data infrastructure best practices
• CI/CD experience is a plus
• English level: Intermediate or higher (for documentation and internal communication)

What We Offer:

• Fully remote position
• Flexible working hours
• Paid vacation
• Professional growth and development opportunities
• Projects involving modern tools and data stacks
• A supportive and skilled team environment