Machine Learning Engineer

About deepsense.ai

We help companies gain a competitive edge by delivering customized AI solutions. Our mission is to empower our clients to unlock the full potential of AI.

We are specialized in key technologies such as LLM & RAG, MLOps, Edge Solutions, Computer Vision, and Natural Language Processing.

Our team of 120 world-class AI experts has worked on 200+ commercial and R&D projects with companies such as Unstructured, Google, Brainly, DocPlanner, B-Yond, Zebra Technologies, Hexagon, and many more.

What we believe in?

• Team Strength – sharing and exchanging knowledge is key to our daily work.
• Accountability – we take responsibility for the tasks entrusted to us so that ultimately the client receives the best possible quality.
• Balance – we value work-life balance.
• Commitment – we want you to be fully part of the team.
• Openness – we don’t want you to be locked into one solution, we want to look for alternatives, explore new possibilities.

Responsibilities

deepsense.ai is seeking a skilled Machine Learning Engineer [Mid/Senior] to join our team, focusing on developing and deploying AI-driven solutions. In this role, you’ll work alongside our data engineers and scientists to build scalable systems that address complex challenges across various industries. Your contributions will span the full lifecycle of AI development, from initial design to final deployment, emphasizing innovative and impactful solutions.

• Design, develop, and integrate machine learning models into end-to-end pipelines for real-world applications,
• build and manage multi-model pipelines, integrating in-house models and third-party APIs,
• collaborate with MLOps engineers on deployment, model packaging, versioning, and production integration,
• fine-tune and optimize Generative AI and LLMs for custom applications, ensuring high performance and scalability,
• implement model evaluation pipelines for continuous monitoring, logging, and retraining,
• translate complex business needs into project requirements, system architecture and development plans,
• stay updated on ML advancements, especially in Generative AI and LLMs, to enhance models and pipelines,
• share knowledge through presentations, workshops, and team discussions to support cross-functional learning.

You must have

• a minimum of 2-4 years (depending on seniority) in a machine learning or AI engineering role, with hands-on experience in building and deploying models in production environments,
• strong programming skills in Python and experience with machine learning libraries and frameworks (e.g., PyTorch, TensorFlow),
• proficiency in designing and implementing model evaluation and experimentation frameworks,
• familiarity with cloud platforms (preferably GCP) and containerization tools (Docker, Kubernetes) for model deployment,
• experience with version control and model lifecycle management tools,
• effective communication skills for both technical and non-technical stakeholders,
• analytical skills to understand and tackle complex modeling and deployment challenges.

You may have

• experience with Generative AI and Large Language Models (LLMs),
• familiarity with NoSQL and Vector databases, particularly for handling unstructured or high-dimensional data,
• exposure to backend engineering, including handling asynchronous programming, microservices, and integration with production databases,
• professional-level cloud certifications, especially in Google Cloud Platform (GCP).

We offer

• competitive salary and benefits package,
• opportunity to work on cutting-edge AI projects with diverse clients and industries, from model development to production deployment,
• collaborative and supportive work environment for continuous learning and development,
• opportunities to participate in conferences, workshops, and internal Tech Talks,
• flexible working hours and remote work options.

If you are a highly motivated, technically skilled professional with a passion for AI, a strong background in programming, and a desire to work on real-world problems, we want to hear from you! Apply now to join our growing team at deepsense.ai.