ML Engineer

Company DescriptionOptimum Data Analytics is a strategic technology partner delivering reliable turn key AIsolutions. Our streamlined approach to development ensures high -quality results and clientsatisfaction. We bring experience and clarity to organizations, powering every human decisionwith analytics & AI. Our team consists of statisticians, computer science engineers, datascientists, and product managers. With expertise, flexibility, and cultural alignment, weunderstand the business, analytics, and data management imperatives of your organization.Our goal is to change how AI/ML is approached in the service sector and deliver outcomes thatmatter. We provide best-in-class services that increase profit for businesses and deliverimproved value for customers, helping businesses grow, transform, and achieve theirobjectives.Job DetailsPosition: ML EngineerExperience: 6-8 yearsBudget: 25 LPA to 28 LPAWork Mode: RemoteNotice Period: Immediate Joiner – 15 daysJob SummaryWe are looking for highly motivated and experienced Machine Learning Engineers to join ouradvanced analytics and AI team. The ideal candidates will have strong proficiency in building,training, and deploying machine learning models at scale using modern ML tools andframeworks. Experience with LLMs (Large Language Models) such as OpenAI and HuggingFace Transformers is highly desirableMust Have: DevOps tools, Python, LLM, MLOps and Excellent CommunicationKey Responsibilities Design, develop, and deploy machine learning models for real-world applications. Implement and optimize end-to-end ML pipelines using PySpark and MLflow. Work with structured and unstructured data using Pandas, NumPy, and other data processinglibraries. Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch. Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT,Hugging Face Transformers, etc. Collaborate with cross-functional teams including data engineers, product managers, andsoftware developers. Monitor model performance and continuously improve model accuracy and reliability. Maintain proper versioning and reproducibility of ML experiments using MLflowRequired Skills Strong programming experience in Python. Solid understanding of machine learning algorithms, model development, and evaluationtechniques. Experience with PySpark for large-scale data processing. Proficient with MLflow for tracking experiments and model lifecycle management. Hands-on experience with Pandas, NumPy, and Scikit-learn. Familiarity or hands-on experience with LLMs (e.g., OpenAI, Hugging Face Transformers). Understanding of MLOps principles and deployment best practicesPreferred Qualifications Bachelor’s or master's degree in computer science, AI/ML, Data Science, or a related field. Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus Strong analytical and problem-solving abilities. Excellent communication and teamwork skills.Skills: python,ml platforms,mlops, mlflow,machine learning,pyspark