Senior ML&DL Software Engineer

at  rinftech

Job Description
As a Senior Machine Learning & Deep Learning Engineer, you will play a pivotal role in advancing our organization’s AI capabilities. Your expertise in machine learning algorithms, neural networks, and deep learning frameworks will be instrumental in developing cutting-edge AI models. Here are the key responsibilities and qualifications for this role
About us
Rinf.tech is a technology consulting and software services company. Founded in 2006 in Romania, we have grown into a global organization with 600+ engineers and 8 Delivery Centers in Europe and North America (Romania, Bulgaria, Ukraine, Turkiye, and Mexico).
We offer custom software solutions and support for our worldwide partners through three main Business Units: Business Applications, R&D Embedded, Robotics, and Automotive.
At Rinf.tech, you’ll come across friendly people and a genuine way of thinking. RINFers are eager to learn from each other, explore and reinvent the world of technology.
What you’ll be working on
In addition to the traditional outsourcing model, we’ve developed a 100% solution delivery approach where we engage in projects from the early stages, participate in pre-sales discussions, and propose PoCs for bidding. Upon winning bids, we implement the PoC and all its functionalities. Now, we aim to establish an internal AI team for PoC development. This team will work on existing and new PoCs, collaborating closely with architects and Technical Directors from Rinf to deliver them to clients. Our Sales team will leverage these PoCs as a portfolio to drive client acquisition.
Team members won’t be assigned to a single project or business unit but will work across different client divisions (Fintech, Retail, Technology - IoT) as needed. There will be a 1-month ramp-up period to understand the business and competency goals, followed by PoC implementation based on identified needs with Leads/Current Clients. The aim is to secure 2-3 investments within 3 months and transition to project implementation with additional team members, while the initial 6 remain core members focusing on PoCs.

What you’ll do

• Design and implement machine learning models and algorithms to address complex business problems.
• Analyze large datasets and identify relevant features for model training.
• Develop and deploy production-grade ML models that meet performance and scalability requirements
• Apply deep learning techniques to enhance search and recommendation engines.
• Fine-tune neural networks for optimal performance.
• Implement NLP models for natural language understanding and processing.
• Manage the end-to-end ML lifecycle, from data collection and preprocessing to model deployment and monitoring
• Write production-quality code for ML models as services and APIs.
• Stay up-to-date with the latest ML tooling and communities to ensure best practices.
• Work closely with cross-functional teams (including technical presales, data scientists, software engineers, and product managers) to understand business requirements.
• Translate business needs into technical solutions and vice versa.
• Present findings and insights to both technical and non-technical stakeholders

What you offer us

• Master’s or Bachelor’s Degree in Computer Science, Engineering, Mathematics,or related fields (qualifications can be overwritten by the relevant experience).
• Minimum 6 years of hands-on experience in machine learning and deep learning.
• Proven track record of successfully delivering ML projects.
• Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience with distributed computing frameworks (e.g., Hadoop, Spark, RDBMS).
• Strong programming skills in Python in SQL.
• Knowledge of cloud-based components for ML deployment.
• Analytical mindset with a passion for solving complex problems.
• Strong communication skills to collaborate effectively with diverse teams.
• Adaptability and willingness to learn new technologies on-the-job

Considered a plus

• Statistical modeling and data mining expertise.
• Networking fundamentals.
• Software design and programming best practices.
• Experience with AWS services.

What we offer you

• Flexible working environment
• Learning budget and platforms
• Wide variety of projects you could be part of
• Medical subscription
• HR representative to guide you in your professional career development
• Flexible benefits platform
• Bookster

Our recruitment process

• HR Discussion
• Technical interview
• Offer

Meet us!

If you are still unsure, we are inviting you to come by anytime for a tour of our office without any commitment.

• All applications are strictly confidential. We will not disclose any private information without having your approval.

• Design and implement machine learning models and algorithms to address complex business problems.
• Analyze large datasets and identify relevant features for model training.
• Develop and deploy production-grade ML models that meet performance and scalability requirements
• Apply deep learning techniques to enhance search and recommendation engines.
• Fine-tune neural networks for optimal performance.
• Implement NLP models for natural language understanding and processing.
• Manage the end-to-end ML lifecycle, from data collection and preprocessing to model deployment and monitoring
• Write production-quality code for ML models as services and APIs.
• Stay up-to-date with the latest ML tooling and communities to ensure best practices.
• Work closely with cross-functional teams (including technical presales, data scientists, software engineers, and product managers) to understand business requirements.
• Translate business needs into technical solutions and vice versa.
• Present findings and insights to both technical and non-technical stakeholder