7 data scientist jobs found in Kolkata

Role - Deep Learning Engineer & Data Scientist Job Description: 1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem b. Improve Model accuracy to deliver greater business impact c. Estimate business impact due to deployment of model 2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge 3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development - Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch 5. Experience in using Deep learning models with text, speech, image...

Responsibilities Roles and Responsibilities As an Image Scientist at Adani, you will be responsible for: Developing and implementing advanced algorithms and models for image recognition, segmentation, and feature extraction. Collaborating with cross-functional teams to design and optimize image processing pipelines and workflows. Contributing to the development and enhancement of AI-based systems for image interpretation and understanding. Utilizing machine learning and deep learning techniques to extract meaningful insights from image data. Evaluating and validating the performance of image processing algorithms through rigorous testing and analysis. Communicating complex technical concepts and findings to non-technical stakeholders in a clear and concise manner. Participating in the creation and maintenance of high-quality documentation and technical reports related to image science projects. Continuously exploring new methodologies and technologies to improve...

Responsibilities Analyze large, complex datasets such as demographics; rewards, performance, engagement, talent, learning, organization design etc with business datasets where required Analyze large amounts of data to identify trends & patterns to generate insights that help inform HR & People Strategies Design & implement experiments to test multiple Hypotheses regarding the effectiveness of HR programs & initiatives with a view to solving specific problems that bottleneck processes or impede decision-making Ensure Data Quality, accuracy & completeness in all analysis & reports Work with HR Domain specialists & Data Engineers, IT & Strategic partners to build in relevant decision rules, data quality standards & data security & governance protocols in the Data Lake being developed Collaborate with relevant stakeholders to develop an HR Data architecture that is reliable & secure Identify opportunities to streamline and...

Responsibilities Roles and Responsibilities Lead the design and implementation of generative AI solutions, leveraging NLP, text analytics, sentiment analysis, transformer models, gen-AI, LLM, and vector databases to drive innovation and business impact. Provide strategic guidance and mentorship to the team, fostering a culture of continuous learning and professional development in AI technologies. Collaborate with cross-functional teams to identify and prioritize AI opportunities, aligning with business objectives and operational needs. Develop and execute gen-AI roadmaps, ensuring the successful delivery of gen-AI projects/solutions from ideation to deployment. Stay abreast of the latest advancements in gen-AI and data science, evaluating emerging technologies and best practices to enhance our AI capabilities. Partner with stakeholders to understand their requirements and translate them into scalable gen-AI solutions, driving tangible value for the organization. Lead...

< < 3-7 years of experience in business analysis , requirement gathering , and solution workflow design for AI/ML/Analytics projects.< Strong experience in programming skills in Python and SQL .< In-depth understanding of Machine Learning (ML) libraries and applications, including Time Series Analysis , Neural Networks , SVMs , boosting methods , and their implementation using Python.< Experience in Deep Learning techniques .< Excellent communication skills for effective collaboration with business SMEs and UX teams.< Intermediate knowledge of DevOps practices , including CICD , Automation , Build Management , and Versioning .< Familiarity with Cloud Services , including Microsoft Azure , GCP , or Amazon Web Services .< Experience in LLM/Gen AI , including Prompt Engineering , RAG , and Parameter Hyper-tuning .< Experience in PySpark is an added advantage.< < Responsibilities< < Strong problem-solving...

Responsibilities Roles and Responsibilities Lead the design and implementation of generative AI solutions, leveraging NLP, text analytics, sentiment analysis, transformer models, gen-AI, LLM, and vector databases to drive innovation and business impact. Provide strategic guidance and mentorship to the team, fostering a culture of continuous learning and professional development in AI technologies. Collaborate with cross-functional teams to identify and prioritize AI opportunities, aligning with business objectives and operational needs. Develop and execute gen-AI roadmaps, ensuring the successful delivery of gen-AI projects/solutions from ideation to deployment. Stay abreast of the latest advancements in gen-AI and data science, evaluating emerging technologies and best practices to enhance our AI capabilities. Partner with stakeholders to understand their requirements and translate them into scalable gen-AI solutions, driving tangible value for the organization....

We are looking for a talented Snowflake Engineer with experience in Apache Kafka to design, develop, and optimize our data pipelines. In this role, you will be responsible for building scalable, high-performance data systems that integrate with various data sources and contribute to the overall data architecture. You will collaborate with cross-functional teams to ensure seamless data flow and support advanced analytics initiatives. Key Responsibilities : Design, implement, and maintain Snowflake data warehouse solutions, ensuring high performance, scalability, and security. Develop and optimize ETL/ELT pipelines to ingest, transform, and load data into Snowflake from Kafka and other data sources. Work closely with data architects, data analysts, and data scientists to understand business requirements and translate them into technical solutions. Design and implement Kafka-based messaging systems to stream data in real-time to Snowflake. Troubleshoot and resolve...