AI/ML Engineer

Lorven Technologies Private Limited

5 - 8 years

6 - 10 Lacs

hyderabad chennai

Posted:None| Platform:

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Skills Required

python natural language processing neural networks artificial intelligence deep learning scikit-learn ci/cd numpy machine learning pandas tensorflow computer vision pytorch keras data visualization machine learning algorithms aws data wrangling

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Title:AI/ML EngineerExperience: 5-8 YearsLocation:Chennai , Hyderabad

Application Development:Design, develop, and deploy applications utilizing Large Language Models (LLMs) like OpenAI GPT.
MLOps Pipeline Management:Build and maintain Machine Learning Operations (MLOps) pipelines, encompassing data ingestion,
Chunking, vectorization, feature engineering, model training, deployment, and monitoring.
Cloud Platform Utilization:Leverage cloud platforms such as AWS, GCP, or Azure for machine learning model development, training, and deployment.
Workflow Automation:Implement DevOps/MLOps/LLMOps best practices to automate machine learning workflows and enhance efficiency.
Performance Monitoring:Develop and implement monitoring systems to track model performance and identify issues.
Collaboration:Work closely with data scientists, engineers, and product teams to deliver machine learning solutions.

AI/ML

Key Responsibilities:

Design, develop, and deploy scalable AI/ML models using Python and associated libraries (TensorFlow,PyTorch, Scikit-learn, etc.).
Collaborate with data scientists, engineers, and product managers to define and prioritize AI-driven solutions to business problems.
Implement and optimize algorithms for classification, regression, clustering, and deep learning models.
Build and maintain end-to-end machine learning pipelines, from data preprocessing to model deployment in production environments (cloud and on-premise).
Perform model evaluation, tuning, and validation to ensure optimal performance and generalization.
Integrate machine learning models with existing software applications or frameworks, ensuring seamless operation and efficiency.
Utilize MLOps tools to automate model versioning, monitoring, and retraining for continuous improvement.
Mentor junior engineers and data scientists, promoting knowledge sharing and development best practices.
Stay updated on the latest advancements in AI/ML and integrate new tools and techniques into current processes.
Conduct research and experimentation to solve complex problems and improve current AI models and algorithms.

Required Skills and Qualifications:

4+ years of hands-on experience in AI/ML development, including real-world deployment of machine learning models.
Expert-level proficiency in Python programming and associated AI/ML libraries such as TensorFlow,PyTorch, Keras, and Scikit-learn.
Strong understanding of deep learning, neural networks, natural language processing (NLP), computer vision, and traditional machine learning algorithms.
Experience in deploying AI/ML models in production environments using cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Proficient in working with large datasets, data wrangling, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib.
Knowledge of database systems (SQL, NoSQL) and experience with distributed computing frameworks like Spark.
Strong problem-solving skills and the ability to translate business requirements into technical solutions.
Familiarity with MLOps best practices, including CI/CD pipelines, model monitoring, version control, and automated retraining.
Excellent written and verbal communication skills and the ability to work in a collaborative, agile environment.
Experience with tools like Git, Jupyter Notebooks, and CI/CD tools (Jenkins, CircleCI).

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