Remote Senior Software Engineer - Machine Learning

Description:

• Janea Systems (USA) is seeking a Senior Machine Learning Engineer to join their consulting team.
• This position is fully remote and offers flexible working hours.
• The role involves working on the client's internal AI/ML practice and utilizing skills in LLM, Data Engineering, ML, and ML Ops.
• The engineer will collaborate with a team of highly skilled professionals in the AI/ML domain.
• Responsibilities include designing scalable data pipelines, implementing ML models, collaborating with data scientists, deploying tools for ML training and inference, and optimizing ML deployment processes.

Requirements:

• Candidates must have a Bachelor's or Master’s degree in Computer Science or a related field.
• A minimum of 4 years of experience in roles such as Software Engineer, Platform Engineer, ML Engineer, Data Scientist, AI Engineer, or Data Engineer is required.
• Strong knowledge of Python and machine learning algorithms, data pre-processing methods, and ML frameworks (e.g., PyTorch, TensorFlow, Keras) is essential.
• Experience with containers and Kubernetes in cloud environments (AWS, MS Azure, or GCP) is necessary.
• Familiarity with data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo) is required.
• Understanding of software testing, benchmarking, and continuous integration principles is important.
• Candidates must possess excellent communication and problem-solving skills.
• Self-motivation and adaptability to work in a fast-paced environment are crucial.
• Ideal candidates will also have familiarity with agent frameworks, developing RAG systems, Natural Language Processing (NLP), monitoring tools, and any associate cloud certification (AWS preferred).

Benefits:

• The position offers competitive compensation along with benefits, paid vacation, and sick leave.
• Employees will have the opportunity to work with a globally diverse team on challenging engineering problems.
• The company provides ultra-flexible working conditions, including a generous office equipment allowance for remote work.
• There is an enjoyable start-up work environment with excellent opportunities for professional growth and development.
• Flexible working hours are emphasized, focusing on job completion rather than location or time.