MLOps Engineer

To qualify for the role, you must have: 5+ years of experience in MLOps or ML Engineering.  Strong hands-on expertise with AWS (SageMaker, Lambda, ECR, ECS/EKS, S3, Step Functions).  Deep understanding of CI/CD for ML systems.  Proficiency in Python and major ML frameworks (PyTorch, TensorFlow, Scikit-learn).  Strong background in containerization,...

Proven experience as an AI Engineer or ML Engineer. Proficiency in Python and ML libraries (PyTorch, TensorFlow, scikit-learn). Hands-on work with LangChain and/or LangGraph. Understanding of LLM evaluation frameworks and RAG metrics. Strong debugging and problem-solving skills. Familiarity with LLM APIs (OpenAI, Anthropic, Google) and vector databases...

4+ years of experience in AI, Machine Learning, or Data Engineering. Strong programming skills in Python and experience with libraries for AI/ML. Hands-on experience with LangChain or similar frameworks for LLM applications. Solid understanding of cloud technologies (Azure, AWS, or GCP). Experience integrating APIs and deploying production-grade AI systems....

Minimum 5 years of professional experience as a Data Scientist, Machine Learning Engineer, or in a similar role. Proven experience working with the Databricks platform. Hands-on experience with MLflow for building experiments and deploying models to production. Strong understanding and experience with recommender system algorithms and their deployment....

Strong understanding of data security principles, cryptography, and privacy-enhancing technologies. Experience with securing AI/ML environments, including MLOps platforms and model registries. Familiarity with cloud security (Azure, AWS, GCP) and data protection tools (e.g., DLP, CASB). Knowledge of AI-specific threats and mitigation techniques (e.g.,...

Skills & Attributes for Success Strong team orientation, excellent collaboration skills, and willingness to co-create solutions with colleagues and clients. Methodical yet creative problem-solver, comfortable experimenting, iterating, and learning quickly. Ability to communicate complex technical concepts clearly to non-technical audiences. Sense of...

Proven experience in Azure Cloud architecture and setup Strong background in AI/ML model deployment and scaling Proficiency with frameworks such as TensorFlow and Scikit-learn Solid data engineering skills Hands-on experience with MLOps and CI/CD practices Knowledge of containerization technologies (e.g., Docker, Kubernetes) Expertise in model monitoring and...

3+ years of experience in Data Science / Machine Learning Hands-on experience with deploying predictive and classification models Advanced knowledge of Python and ML libraries Experience working with large-scale datasets Ability to measure model performance in business terms Strong analytical background is highly valued Nice to have Experience with cloud...

🎯 What you’ll need to succeed in this role: At least 3+ years of proven commercial experience designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, GenAI). Proficiency in developing ML algorithms from scratch to production deployment. Strong programming skills in Python: writing...

Do we have a match As a Senior/Mid AI/ML Engineer, you must meet most of the following criteria: Solid AI/ML expertise: strong understanding of ML concepts and hands-on experience with classic ML and modern LLM architectures Ability to go beyond APIs: experience designing data flows, embeddings, RAG pipelines, fine-tuning, or agent-based systems Strong...