Machine Learning Engineer (Contractor)

Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients.  Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability.

We are seeking a talented Machine Learning Engineer, for a project-based assignment, with 5+ years of experience to join our growing engineering team. In this role, you will design, build, and deploy machine learning models that power data-driven products and insights across the organization. You will work at the intersection of machine learning, data engineering, and scalable systems to deliver reliable and high-performing ML solutions.

• →Design, develop, and deploy machine learning models to solve business problems across large-scale datasets.
• →Build and optimize machine learning pipelines for data preparation, model training, and inference.
• →Collaborate with data engineers and software engineers to develop scalable ML infrastructure and pipelines.
• →Research and implement modern machine learning techniques, including deep learning and large language models where appropriate.
• →Work closely with product and cross-functional teams to translate business requirements into technical solutions.
• →Deploy and maintain machine learning models in production environments.
• →Monitor model performance, conduct experiments and A/B testing, and continuously improve model accuracy and reliability.
• →Contribute to the team's engineering best practices, including code reviews, documentation, and knowledge sharing.

• 5+ years of professional experience in machine learning engineering or a related role.
• Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX.
• Experience building, training, and deploying machine learning models in production environments.
• Experience working with data pipelines and large-scale datasets.
• Proficiency with cloud platforms (AWS, GCP, or Azure) and familiarity with MLOps practices.
• Strong understanding of data structures, algorithms, and software engineering principles.
• Experience with large-scale data processing frameworks (Spark, Dask, or similar).
• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field (or equivalent experience).

• Experience working with natural language processing, computer vision, recommendation systems, or other applied ML domains.
• Familiarity with model deployment, experiment tracking, and model monitoring tools.
• Experience working with distributed systems and scalable ML infrastructure.
• Exposure to modern techniques such as transformer architectures, embeddings, or large language models.
• Experience working in a fast-paced startup or product-driven environment.

• Contract