Data Scientist Gen AI Engineer

Job Description

?? Mega Walk-In Drive ? Data Science, GenAI (5-12 Years) & MLOps Roles (3?12 Years Experience) ?? Location: Kolkata ?? Date: Saturday, 15th November ?? Time: 9:30 AM onwards ?? Contact Person: Purbita Mondal ? [email protected] ?? We?re Hiring For: Data Scientists GenAI Engineers MLOps Engineers Data Scientists with Gen AI: ? Mandatory Skills Data Science, GenAI, Python, RAG Cloud: Azure / AWS / GCP AI/ML, NLP ?? Preferred Skills LangChain, ChatGPT, Prompt Engineering Vector Stores, LLaMA, PaLM, BERT, GPT, BLOOM Deep Learning, OCR, Transformers Regression, Forecasting, Classification MLOps, Model Training, Deployment, Inference CI/CD, Model Monitoring, Hyperparameter Tuning Tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes ?? Ideal Candidate Profile 5?12 years of experience in Data Engineering, Data Science, AI/ML, or MLOps Strong grasp of ML algorithms: GPTs, CNN, RNN, SVM, etc. Experience with BI tools (Power BI, Tableau), data frameworks (Hadoop, PySpark) Familiarity with TensorFlow, PyTorch, Keras, NumPy, Pandas Experience with cloud-native development and deployment Hands-on with NoSQL databases (MongoDB, Cassandra, HBase, Vector DBs) Excellent communication and analytical skills MLOPS: We?re looking for an MLOps Engineering Specialist who is experienced in designing and implementing ML applications at scale in production for our ML Engineering team- The team is a cross-functional team and has ML Engineers and AI Engineers, and closely works with data scientists and data engineers in designing, building and operationalizing AI/ML models- Roles and Responsibilities: As an ML Engineering Specialist, you will be owning responsibility to ? operationalize ML models, NLP, Computer Vision, and other type of models- ? End to End model lifecycle management, starting from feature extraction to monitor machine learning models using high end tools and technologies- ? Design & implementation of DevOps principles in Machine Learning ? Model quality assurance, governance, and monitoring ? Integrate models as part of business applications via APIs- ? Execute best practices in version control and continuous integration / delivery- ? Collaborate with data scientists, engineers, and other key stakeholders- ? Work well in a fast-paced cross-functional environment Mandatory Skills/Requirements: ? Experience in implementing machine learning life cycle on Azure ML and Azure Databricks along with other Azure services such as Azure DevOps, Azure functions etc- ? Experience with Machine learning frameworks, libraries, and agile environments- ? Experience implementing Azure Cognitive services in business applications- ? Experience with various model deployment strategies ? Experience with Python and SQL is must- Understanding of distributed frameworks such as Spark, Dask, Ray etc- is a plus- ? Experience with version control tools such as Git, Bitbucket etc- ? Knowledge on Docker, Jenkins, Kubernetes, and other DevOps tools- ? Knowledge on Infra-as-a-Code via ARM or Terraform templates- ? Familiarity with Large Language Models and Operationalization of foundation models on cloud platforms will be a plus- ? Outstanding analytical and problem-solving skills-" ?? Why Join Us? Work on cutting-edge GenAI and LLM projects Build scalable AI/ML pipelines and deploy models in production Collaborate with a fast-paced, innovative team Flexible work culture and continuous learning ?? Walk in with your resume and be part of the future of AI! Tag someone who?d be a great fit or share this opportunity. hashtag#WalkInDrive hashtag#HyderabadJobs hashtag#kolkatajobs hashtag#GenAI hashtag#DataScience hashtag#MLOps hashtag#AIJobs hashtag#MachineLearning hashtag#Hiring hashtag#TechCareers hashtag#LangChain hashtag#LLM hashtag#Python hashtag#CloudJobs hashtag#PromptEngineering hashtag#ModelDeployment hashtag#MLflow hashtag#Kubeflow