Data Scientist

Job Title: Data ScientistExperience: 5+ YearsLocation: Remote/ Indore/ Mumbai/ Chennai/ GurugramIndustry: Must be from BPO/KPO or Healthcare Org.
Or Shared servicesKey Responsibilities:AI/ML Development & ResearchDesign, develop, and deploy advanced machine learning and deep learning models to solve complex business problems.Implement and optimize Large Language Models (LLMs) and Generative AI solutions for real-world applications.Build agent-based AI systems with autonomous decision-making capabilities.Conduct cutting-edge research on emerging AI technologies and explore their practical applications.Perform model evaluation, validation, and continuous optimization to ensure high performance.Cloud Infrastructure & Full-Stack Development:Architect and implement scalable, cloud-native ML/AI solutions using AWS, Azure, or GCP.Develop full-stack applications that seamlessly integrate AI models with modern web technologies.Build and maintain robust ML pipelines using cloud services (e.g., Sage Maker, ML Engine).Implement CI/CD pipelines to streamline ML model deployment and monitoring processes.Design and optimize cloud infrastructure to support high-performance computing workloads.Data Engineering & Database ManagementDesign and implement data pipelines to enable large-scale data processing and real-time analytics.Work with both SQL and No SQL databases (e.g., Postgre SQL, Mongo DB, Cassandra) to manage structured and unstructured data.Optimize database performance to support machine learning workloads and real-time applications.Implement robust data governance frameworks and ensure data quality assurance practices.Manage and process streaming data to enable real-time decision-making.Leadership & CollaborationMentor junior data scientists and assist in technical decision-making to drive innovation.Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to develop solutions that align with organizational goals.Present findings and insights to both technical and non-technical audiences in a clear and actionable manner.Lead proof-of-concept projects and innovation initiatives to push the boundaries of AI/ML applications.
Required Qualifications:Education & ExperienceMaster's or Ph D in Computer Science, Data Science, Statistics, Mathematics, or a related field.5+ years of hands-on experience in data science and machine learning, with a focus on real-world applications.3+ years of experience working with deep learning frameworks and neural networks.2+ years of experience with cloud platforms and full-stack development.Technical Skills - Core AI/MLMachine Learning: Proficient in Scikit-learn, XGBoost, Light GBM, and advanced ML algorithms.Deep Learning: Expertise in Tensor Flow, Py Torch, Keras, CNNs, RNNs, LSTMs, and Transformers.Large Language Models: Experience with GPT, BERT, T5, fine-tuning, and prompt engineering.Generative AI: Hands-on experience with Stable Diffusion, DALL-E, text-to-image, and text generation models.Agentic AI: Knowledge of multi-agent systems, reinforcement learning, and autonomous agents.Technical Skills - Development & InfrastructureProgramming: Expertise in Python, with proficiency in R, Java/Scala, Java Script/Type Script.Cloud Platforms: Proficient with AWS (Sage Maker, EC2, S3, Lambda), Azure ML, or Google Cloud AI.Databases: Proficiency with SQL (Postgre SQL, My SQL) and No SQL (Mongo DB, Cassandra, Dynamo DB).Full-Stack Development: Experience with React/Vue.js, Node.js, Fast API, Flask, Docker, Kubernetes.MLOps: Experience with MLflow, Kubeflow, model versioning, and A/B testing frameworks.Big Data: Expertise in Spark, Hadoop, Kafka, and streaming data processing.Non Negotiables:Cloud Infrastructure - ML/AI solutions on AWS, Azure, or GCPBuild and maintain ML pipelines using cloud services (Sage Maker, ML Engine, etc.)Implement CI/CD pipelines for ML model deployment and monitoringWork with both SQL and No SQL databases (Postgre SQL, Mongo DB, Cassandra, etc.)Machine Learning: Scikit-learnDeep Learning: Tensor FlowProgramming: Python (expert), R, Java/Scala, Java Script/Type ScriptCloud Platforms: AWS (Sage Maker, EC2, S3, Lambda)vector databases and embeddings (Pinecone, Weaviate, Chroma)Knowledge of Lang Chain, Llama Index, or similar LLM frameworks.If interested, please share your resume to sunidhi.manhas@portraypeople.com

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