Neev Systems

3 weeks ago

Hyderabad, India Neev Systems Private Limited Full time

ML Engineer.Experience : 5+ Years.Location : Hyderabad.About The Role :We are seeking a highly skilled and experienced Machine Learning Engineer to lead the design and implementation of cutting-edge ML solutions across our organization.You will be responsible for prototyping and taking models all the way from proof-of-concept to production deployment.This role requires a deep understanding of ML algorithms, data processing pipelines, model optimization, and production-grade engineering practices.Key Responsibilities :- Build and validate ML prototypes to solve real business problems.- Develop, test, and optimize ML models using structured and unstructured data.- Design and implement scalable data pipelines and model serving infrastructure.- Continuously monitor, improve, and re-train models in production.- Ensure reproducibility, versioning, and documentation of models and experiments.- Evaluate and select appropriate ML tools, frameworks, and technologies to meet business requirements.- Oversee the full ML lifecycle including data preparation, model development, training, validation, deployment, and monitoring.- Collaborate with stakeholders to translate business needs into ML solutions.Required Skills & Qualifications :- Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field.- 5+ years of professional experience with at least 3 years in machine learning and data science.- Take at least one ML solution from idea to full-scale production deployment.- Strong programming skills in Python, with experience in ML libraries like TensorFlow, PyTorch, Scikit-learn, XGBoost, etc.- Deep understanding of ML architecture patterns, data pipelines, and distributed systems.- Experience with any of cloud platforms like AWS, Azure, or GCP and cloud-native ML tools (SageMaker, Vertex AI, Azure ML).- Proficiency in Docker, Kubernetes, and other containerization/orchestration tools.- Strong grasp of MLOps, model monitoring, and continuous integration/deployment pipelines.- Hands-on experience with big data technologies like Spark, Hadoop, Hive, or similar.Preferred Qualifications :- Contributions to open-source ML projects or research publications.- Experience with deep learning, NLP, computer vision, or reinforcement learning.- Familiarity with data privacy, AI ethics, and governance frameworks. (ref:hirist.tech)

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