3292 Data Scientist Jobs - Page 7

Exploratory Data Analysis (EDA) - At least one industrial project on preprocessing and EDA using Python/R - Basic understanding of Statistical concepts like mean, median, variance, correlation, normalization, histograms, boxplots, linear regression - Basic understanding of probability, conditional probability, sampling methods - Must have experience in data visualization using Python/R - Must have experience in extracting information using SQL or similar languages Machine Learning Model Development - At least one end to end industrial project on classification or clustering using Python/R, which includes explanation of the business use case & data collection - The project ideally should include hyperparameter tuning and comparing multiple algorithms and finally choosing one with proper justification. - Good algorithmic understanding of Decision Trees, k-NN, Random Forest - Decent understanding of Neural networks and deploying them at least locally, if not in the production environment (Good to have, not must). - Must have Experience in at least one Cloud service like AWS, Azure or Google Cloud (Google Cloud Platform is highly preferred) - Experience in MLOPs, Django, FLASK & Dockers etc. (Good to have, not must). Libraries: scikit-learn, TensorFlow, keras, PyTorch, MLflow Multimodal Generative AI - At least one end to end industrial project on LLM tuning or RAG development or Synthetic data generation. - Integration of multiple data types while developing RAG (Good to have, not must) - Must have thorough understanding of Evaluation Metrics of LLM & RAG like BLEU, ROUGE & Cosine Similarity - Good understanding of GANs, VAEs, RNNs, LSTMs, Attention & Transformers - Hands on data preprocessing: Vector databases, chunking, Word Embeddings etc. - Know-how of Zero-shot or few-shot inference, Chain of thought prompting, ReAct - Understanding of AI Agents and hands on Tensorflow Serving, LangGraph, LangChain & Streamlit (Good to have, not must) The below has been the area of focus 1. Good understanding of fundamentals of different machine learning algorithms. 2. Good communication skills and ability to explain in simple words is required as the candidate will be working across multiple teams 3. In-depth understanding of Neural Networks and LLMs. 4. Hands on Development of RAG models 5. Interest and eagerness to learn new things. 6. Understanding and Explaining of CNN architecture. 7. Exposure to ML algorithms by naming a few and explaining the same 8. Implementation of LLM / RAG 9. LLM architecture as the candidate will have to understand the same.

Position: AI/ML (Airbnb account ) Work location : Bangalore (Hybrid WFO 3 Days) Required skillsets: AI , ML , Python, SQL, Data Science Mandatory : from Tier 1 college only Experience: 6-12 months Joining: Immediate joiner only

Job Summary We are seeking a highly skilled Data Scientist with 6 to 12 years of experience to join our team. The ideal candidate will have expertise in Statistics Azure Open AI Service EDA Airflow Knowledge Graph ML Ops Machine Learning Cloud AutoML Dialogflow OpenCV Artificial Intelligence Natural Language Processing Deep Learning PyTorch AI enabled chatbot Tensorflow R Statistical Package Python and Search Engine Optimization. Responsibilities Lead the development and implementation of machine learning models to solve complex business problems Oversee the application of statistical techniques to analyze large datasets and extract meaningful insights Provide expertise in Azure Open AI Service to enhance AI capabilities within the organization Conduct exploratory data analysis (EDA) to identify trends patterns and anomalies in data Utilize Airflow to manage and automate data workflows and pipelines Implement knowledge graphs to improve data relationships and insights Apply ML Ops practices to streamline the deployment and monitoring of machine learning models Develop and optimize machine learning algorithms using Cloud AutoML and other tools Integrate Dialogflow to create and manage AI-enabled chatbots for customer interaction Utilize OpenCV for computer vision tasks and image processing Apply artificial intelligence and natural language processing techniques to enhance data analysis Implement deep learning models using PyTorch and Tensorflow for advanced data analysis Use R Statistical Package and Python for data manipulation analysis and visualization Optimize search engine performance through effective SEO strategies Collaborate with cross-functional teams to ensure alignment of data science projects with business objectives Communicate findings and recommendations to stakeholders in a clear and concise manner Stay updated with the latest advancements in data science and machine learning technologies Qualifications Must have strong experience in Statistics and Azure Open AI Service Must be proficient in EDA Airflow and Knowledge Graph Must have expertise in ML Ops Machine Learning and Cloud AutoML Must be skilled in Dialogflow OpenCV and Artificial Intelligence Must have experience in Natural Language Processing and Deep Learning Must be proficient in PyTorch AI enabled chatbot and Tensorflow Must have strong knowledge of R Statistical Package and Python Must have experience in Search Engine Optimization Nice to have experience in other data science and machine learning tools and technologies Must have excellent communication and collaboration skills

We are looking for an experienced Data Scientist who is passionate about uncovering insights from data and delivering scalable data-driven solutions. The ideal candidate will have a strong foundation in machine learning, statistics, and programming, and will play a critical role in transforming complex datasets into actionable intelligence. Key Responsibilities: Design and implement machine learning models and data science solutions for predictive analytics, classification, and clustering problems. Collaborate with data engineers and software developers to deploy ML models in production environments. Conduct data wrangling, exploratory data analysis (EDA), and data visualization to identify trends and patterns. Build data pipelines and workflows using Python, SQL, or cloud technologies (e.g., AWS, Azure, GCP). Leverage large datasets from internal and external sources to create advanced analytics models. Communicate findings effectively to both technical and non-technical stakeholders. Key Skills / Keywords: Machine Learning Data Science Data Developer Statistical Analysis Data Mining Python / R SQL / NoSQL Big Data (Hadoop, Spark) Data Visualization (Power BI,Tableau, matplotlib, seaborn) Natural Language Processing (NLP) Deep Learning (TensorFlow,PyTorch) Cloud Platforms (AWS, Azure,GCP) Model Deployment Version Control (Git) CI/CD for ML Qualifications: Bachelors or master’s degree in computer science, Data Science, Statistics, Mathematics, or a related field. 3+ years of experience as a Data Scientist, ML Engineer, or Data Developer. Demonstrated success in building and deploying ML models. Preferred Attributes: Knowledge of MLOps, Kubeflow,or MLFlow. Experience with time series forecasting, recommendation engines, or anomaly detection. Contributions to open-source or published papers in data science journals.

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

Job Description: Experience: 6–12 years (Immediate joiners only) Build ML/DL models for predictive maintenance and driver behavior (ADAS focus) using Python, R, SQL Analyze automotive datasets, including CAN data, to extract actionable insights Develop scalable data pipelines with Spark and Hadoop Design and deploy data solutions on AWS and/or GCP Create dashboards and reports using Power BI or Tableau Collaborate with cross-functional teams to apply data-driven solutions Job Locations: Mysore / Pune / Bangalore Job Type: Full-time Work Location: In person

2-5 years Hands on experience with - building Voice Bots, - Building LLM models, Speech based models - Develop algorithms for NLP

Aufgaben About MBRDI: Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Key Responsibilities: Analyze large datasets to identify trends, correlations, and patterns Develop predictive models to forecast future outcomes Utilize data mining and machine learning techniques to extract meaningful insights Design and implement data pipelines and databases to organize, store, and query data Collaborate with software engineers, product owners, and business analysts to create data-driven solutions Interpret and communicate results to stakeholders in a clear and concise manner Develop strategies and processes to improve data quality and accuracy Stay up-to-date with the latest technologies and industry trends Required Skills and Experience: Proficiency in programming languages such as Python and R Strong knowledge of data mining, statistical analysis, and machine learning techniques Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) Hands-on experience in building predictive models and data pipelines 3–7 years of relevant experience in data science, analytics, or related fields Strong analytical and problem-solving skills with the ability to handle large datasets Effective communication and stakeholder management skills Qualifikationen Educational Qualifications: Bachelor’s / Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field Additional certifications (if any): Data Science, Machine Learning, or AI specializations Preferred Qualifications (Good to Have): Domain knowledge in automotive or mobility industry Experience working on international/global projects Exposure to big data technologies (e.g., Hadoop, Spark) or cloud platforms (AWS, Azure, GCP) Why Join Us? Be part of a purpose-driven organization that’s shaping the future of mobility Work on cutting-edge data science applications and global projects Thrive in a collaborative, diverse, and inclusive environment Access world-class infrastructure and learning opportunities Equal Opportunity Statement: At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mitarbeiterrabatte möglich Gesundheitsmaßnahmen Mitarbeiterhandy möglich Essenszulagen Betriebliche Altersversorgung Hybrides Arbeiten möglich Mobilitätsangebote Mitarbeiter Events Coaching Flexible Arbeitszeit möglich Kinderbetreuung Parkplatz Kantine, Café Gute Anbindung Barrierefreiheit Betriebsarzt KontaktMercedes-Benz Research and Development India Private Limited Plot No. 5-P, EPIP 1st Phase560066 BangaloreDetails zum Standort Saurabh Sharma E-Mail: [email protected]

🔍 𝗪𝗲'𝗿𝗲 𝗛𝗶𝗿𝗶𝗻𝗴: 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 – 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 📍 Location: Noida (Hybrid) | 🕒 Experience: 4-5 years Are you passionate about pushing the boundaries of AI with real-world impact? We're looking for a 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗶𝗻𝗴 𝗶𝗻 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 to join our team and help build cutting-edge intelligent systems. What You’ll Do: You'll work on advanced AI applications using 𝗟𝗟𝗠𝘀, 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜, 𝗮𝗻𝗱 𝗡𝗟𝗣, developing innovative solutions with tools like 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻, 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲, 𝗮𝗻𝗱 𝗔𝘇𝘂𝗿𝗲 𝗢𝗽𝗲𝗻𝗔𝗜. From building 𝗥𝗔𝗚 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 to deploying full-stack AI services, your expertise will directly shape the next generation of intelligent systems. 𝗪𝗵𝗮𝘁 𝗪𝗲’𝗿𝗲 𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝗙𝗼𝗿: 3+ years in Data Science with a focus on Generative AI, LLMs, and NLP 𝗛𝗮𝗻𝗱𝘀-𝗼𝗻 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵: 𝗥𝗔𝗚 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, 𝗽𝗿𝗼𝗺𝗽𝘁 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗴𝗿𝗮𝗽𝗵𝘀 𝗔𝘇𝘂𝗿𝗲 𝗔𝗜 𝘀𝘁𝗮𝗰𝗸 – OpenAI, Cognitive Services, Azure ML 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻 and agentic AI orchestration tools 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲 for model fine-tuning 𝗩𝗲𝗰𝘁𝗼𝗿 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀, semantic search, embeddings 𝗣𝘆𝘁𝗵𝗼𝗻 for AI applications and system integration Solid MLOps background – CI/CD, DevOps, scalable deployment Familiarity with tools like 𝗙𝗮𝘀𝘁𝗔𝗣𝗜, 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀, 𝗔𝗪𝗦, 𝗠𝗟𝗳𝗹𝗼𝘄, 𝗙𝗮𝗶𝘀𝘀, 𝗥𝗲𝗱𝗶𝘀, 𝗮𝗻𝗱 𝗢𝗽𝗲𝗻𝗔𝗜 𝗔𝗣𝗜𝘀 A creative problem-solver who enjoys debugging, optimizing, and improving AI systems Skills: data science,advanced,intelligent systems

TrueID is at the forefront of digital transformation in the realm of biometric-based identity management, emphasizing the pivotal role of digital identities in modern-day businesses such as fintech, banking, and e-commerce. Our team members are given exceptional opportunities to work on cutting-edge projects, pushing the boundaries of digital transformation in identity management in the banking, fintech domains and ecommerce domains. At TrueID, we offer an inspiring work environment that fosters innovation and creativity, allowing team members to contribute to groundbreaking digital identity projects. All TrueID employees are engaged on overseas projects giving them exposure to diverse cultures and perspectives enhancing their professional growth in an increasingly digitalized world. TrueID's commitment to driving digital innovation has made the company a thought leader in shaping the future landscape of digital transformation to manage digital identities. Job Description: TrueID (www.trueid.in) is looking to hire a talented Data Scientist with 3+ years of experience to join our team and develop high-impact, scalable forecasting and predictive analytics solutions. You will leverage advanced AI/ML models, build data pipelines, and be part of the productization team responsible for delivering robust solutions for our SaaS platform serving B2B clients. ## Responsibilities • Design, develop, and validate time series forecasting and predictive analytics models (Classical, Machine Learning and Neural Network based models) • Analyse and integrate diverse datasets from internal and external sources, including APIs and web-scraped data. • Engineer features, perform data cleaning, and build robust data pipelines. • Work within the productization team to deploy models as APIs and integrate them into our SaaS product. • Implement and monitor model accuracy, retraining, and drift detection pipelines. • Build cost-benefit analysis models, scenario simulation tools, and recommendation engines. • Apply NLP and GenAI techniques to analyze unstructured data and extract actionable insights. • Generate reports and insights for business stakeholders. • Contribute to technical documentation and knowledge transfer. Requirements • Bachelor’s/master's in computer science, Statistics, Mathematics, or related field. • 3+ years of experience in data science roles, with a strong record of production-grade forecasting or predictive analytics projects. • Proficient in Python and key libraries (pandas, numpy, scikit-learn, statsmodels, Prophet, TensorFlow/PyTorch, etc.). • Hands-on experience with ML pipeline orchestration (Airflow, MLflow, or similar). • Experience with GenAI/NLP and unstructured data. • Familiarity with cloud platforms (AWS/GCP/Azure) and REST APIs. • Experience with SQL and databases. • Strong problem-solving, communication, and collaboration skills. • Exposure to SaaS/Subscription-based product environments is a plus. ## What We Offer • Opportunity to own and deliver a greenfield AI/ML forecasting platform. • Fast-paced, collaborative, and flexible work environment. • Competitive compensation and potential for long-term growth. We are looking for immediate joiners Interested candidates can send your resume to sarika.m@trueid.in

Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.

Warm Greetings from SP Staffing Services!!! We have an urgent opening from our client for the position below. Data Scientist / C2H / F2F Interview Exp: 4 to 6 Yrs Location: Bangalore Notice Period: Immediate Joiners only JD: Skill Role:-Total Years of Experience :4 to 6 Years. Language: Python.Libraries: Pandas, Numpy, Scikit Learn, Tensorflow, Pytorch, Matplotlib, Spacy.Skills: ML, DL, Gen Ai, Agentic Ai, RAG.Databases: MongoDB, PostgreSQL.Cloud: Azure cloud (Azure Ai Search). RTH - Y If you are interested please share your updated resume with preetha.m@spstaffing.in or 7358295265

Job Overview: We are seeking a skilled Data Scientist with 4 to 12 years of experience, specializing in Machine Learning, PySpark, and Databricks, with a proven track record in long-range demand and sales forecasting. This role is crucial for the development and implementation of an automotive OEMs next-generation Intelligent Forecast Application. The position will involve building, optimizing, and deploying large-scale machine learning models for complex, long-term forecasting challenges using distributed computing frameworks, specifically PySpark on the Databricks platform. The work will directly support strategic decision-making across the automotive value chain, including areas like long-term demand planning, production scheduling, and inventory optimization. The ideal candidate will have hands-on experience developing and deploying ML models for forecasting, particularly long-range predictions, in a production environment using PySpark and Databricks. This role requires strong technical skills in machine learning, big data processing, and time series forecasting, combined with the ability to work effectively within a technical team to deliver robust and scalable long-range forecasting solutions. "The ideal resource should have a strong background in mathematics to effectively understand and work with complex optimization models. Key Responsibilities: Machine Learning Model Development & Implementation for Long-Range Forecasting : Design, develop, and implement scalable and accurate machine learning models specifically for long-range demand and sales forecasting challenges. Apply advanced time series analysis techniques and integrate them with machine learning models leveraging PySpark for data processing and model training on large datasets within the Databricks environment. Implement probabilistic forecasting methods using PySpark to capture uncertainty in long-range predictions. Develop robust solutions for hierarchical and grouped long-range forecasting on distributed data. Data Processing and Feature Engineering with PySpark : Build and optimize large-scale data pipelines for ingesting, cleaning, transforming, and engineering features relevant to long-range forecasting from diverse, complex automotive datasets using PySpark on Databricks. Deployment and MLOps o Databricks : Develop and implement robust code for model training, inference, and deployment of long-range forecasting models directly within the Databricks platform. Apply MLOps principles compatible with Databricks workflows for model versioning, monitoring, retraining, and managing the lifecycle of long-range ML forecasting models in production. Collaborate with Data Engineering and IT Operations to ensure seamless deployment and operational efficiency of the forecasting application on Databricks. Performance Evaluation & Optimization: Evaluate long-range forecasting model performance using relevant metrics (e.g., MAE, RMSE, MAPE, considering metrics suitable for longer horizons) and optimize models and data processing pipelines for improved accuracy and efficiency within the PySpark/Databricks ecosystem. Technical Collaboration: Work effectively as part of a technical team, collaborating with other data scientists, data engineers, and software developers to integrate ML long-range forecasting solutions into the broader forecasting application built on Databricks. Communicate technical details and forecasting results effectively within the technical team. Required Qualifications: Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a closely related quantitative field. Experience: 3+ years of hands-on experience in a Data Scientist or Machine Learning Engineer role. Proven experience developing and deploying machine learning models in a production environment. Demonstrated experience in long-range demand and sales forecasting. Significant hands-on experience with PySpark for large-scale data processing and machine learning. Extensive practical experience working with the Databricks platform, including notebooks, jobs, and ML capabilities. Technical Skills: Expert proficiency in PySpark. Expert proficiency in the Databricks OR Snowflake or Oracle platform. Strong proficiency in Python and SQL. Experience with machine learning libraries compatible with PySpark (e.g., MLlib, or integrating other libraries). Experience with advanced time series forecasting techniques and their implementation. Experience with distributed computing concepts and optimization techniques relevant to PySpark. Hands-on experience with a major cloud provider (Azure, AWS, or GCP) in the context of using Databricks. Familiarity with MLOps concepts and tools used in a Databricks environment. Experience with data visualization tools. Analytical skills with a deep understanding of machine learning algorithms and their application to forecasting. Ability to troubleshoot and solve complex technical problems related to big data and machine learning workflows. Preferred Qualifications: Experience with specific long-range forecasting methodologies and libraries used in a distributed environment. Experience with real-time or streaming data processing using PySpark for near-term forecasting components that might complement long-range models. Familiarity with automotive data types relevant to long-range forecasting (e.g., economic indicators affecting car sales, long-term market trends). Experience with distributed version control systems (e.g., Git). Knowledge of agile development methodologies. Soft Skills: Collaboration: Ability to work effectively as part of a technical team. Communication: Clear and concise communication of technical details and forecasting results. Problem-Solving: Ability to tackle complex technical challenges and find efficient solutions. Learning Agility: Eagerness to learn and adapt to new technologies and methodologies within the PySpark/Databricks ecosystem and advancements in long-range forecasting. Ability to understand business needs related to long-term planning.

About the Organization : IndusInd Bank is a universal Bank with a widespread banking footprint with over 2.5 crore customers, over 5,000 distribution points and nearly 2,000 branches across the country. Bank is currently in its fifth planning cycle and is on a mission to attain scale with sustainability at its core and with a specific focus on leapfrogging digital banking capabilities. Accordingly, the digital team at IndusInd Bank is on a journey to create differentiated transformative customer experience in financial services. The team’s charter to redefine banking experience for clients making is much simpler, intelligent, and personalized. The data science team(digital portfolio, platform growth & engagement) will be part of the digital team at IndusInd Bank and will help uncover insights that help drive the digital strategy and optimize customer experience. About the role : You would be part of asset analytics and data science team and work on cutting edge problems for the bank. The individual will work closely with the stakeholders across risk, business, partnerships, digital and strategy in creating and refining strategies to augment profitability and growth for the bank. The incumbent will majorly be responsible with coming up data driven and actionable insights and presenting them to relevant stakeholders The candidate will work in close collaboration with digital product, growth, and marketing teams. Overall, Job Description Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding. Well versed with necessary data reprocessing and feature engineering skills. Strong background in Statistical Analysis. Constantly look and research on ML algorithms and data sources for better prediction Work and coordinate with multiple stakeholders to identify opportunities for leveraging company data to drive business solutions, implement models and monitor outcomes. Assess the effectiveness and accuracy of new data sources and data gathering techniques and develop processes and tools to monitor and analyze model performance and data accuracy. Experience in establishing/scaling up data science functions Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Leverage analytics to increase customer lifetime value for clients acquired digitally by pitching right product to the right client at the right time Help define pricing models for digital value propositions for various segments of users / clients to ensure profitability of the portfolio and to ensure achievement of business outcomes Work with product, growth, and marketing teams across product/campaign lifecycle Empower product and marketing teams by creating automated dashboards and reports using PowerBI Skills/Capabilities Model development experience in R, Python, SAS Strong and in-depth understanding of statistics Strong strategic thought leadership and problem-solving skills with ability to tackle unstructured and complex business problems Ability to build & use relationships and influence broadly across the organization Results driven with strong project management skills, ability to work on multiple priorities Handling Big Data, Segmentation, Analytics, Machine Learning, Artificial Intelligence, Statistics and Hypothesis Testing

You are an experienced Data Scientist with over 5 years of professional experience. Your main responsibility will be to develop, deploy, and maintain data-driven solutions that have a direct impact on business outcomes. Leveraging your expertise in Generative AI (GenAI) and Large Language Models (LLMs) is a key aspect of this role, enabling you to create innovative products and enhance existing systems. In this position, you will lead end-to-end data science projects, starting from data collection and preprocessing, all the way to model deployment and monitoring. Your tasks will involve designing, building, and fine-tuning Large Language Models (LLMs) and other GenAI models to address complex business problems. You will also be expected to develop and implement solutions using advanced techniques like Retrieval-Augmented Generation (RAG) and prompt engineering, working closely with cross-functional teams including product, engineering, and business stakeholders to deliver impactful solutions. To excel in this role, you should have at least 1 year of hands-on experience with GenAI and LLM development, including model fine-tuning and deployment. Proficiency in programming languages, particularly Python, and relevant libraries such as PyTorch, TensorFlow, and Hugging Face is essential. Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools for model deployment and management will be advantageous. Additionally, a strong background in machine learning fundamentals, NLP, and statistical analysis is required. Excellent problem-solving, communication, and collaboration skills are also key qualities for this position. Staying up-to-date with the latest research and industry trends in data science, machine learning, and GenAI is crucial to ensure that you are at the forefront of innovation in this field.,

As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Expected to be an SME, you will collaborate and manage the team to perform and will be responsible for team decisions. Engaging with multiple teams and contributing to key decisions, you will provide solutions to problems for your immediate team and across multiple teams. Facilitating knowledge sharing sessions to enhance team capabilities and monitoring project progress to ensure alignment with strategic goals will also be part of your responsibilities. This position requires a minimum of 5 years of experience in Data Science and a 15 years full-time education. The role is based at our Bengaluru office. Proficiency in Data Science, a strong understanding of machine learning algorithms and cloud platforms, familiarity with programming languages like Python or R, and the ability to work with data visualization tools are essential skills for this role.,

Job title: Data Scientist Job Hours: 6:30 pm - 3:30 am IST M-F (Night shift) Location: Noida, India Duration: Fulltime Job description: Develop and deploy predictive models and machine learning algorithms Analyze large, complex datasets to generate actionable insights Collaborate with cross-functional teams including R&D, commercial, and manufacturing Strong skills in Python, R, SQL, and machine learning libraries Experience with cloud platforms (AWS, Azure, or GCP) Pharma or healthcare industry experience highly preferred Excellent communication and problem-solving skills.

Job Summary We are looking for a talented Data Scientist to join our team. The ideal candidate will have a strong foundation in data analysis, statistical models, and machine learning algorithms. You will work closely with the team to solve complex problems and drive business decisions using data. This role requires strategic thinking, problem-solving skills, and a passion for data. Job Responsibilities Analyse large, complex datasets to extract insights and determine appropriate techniques to use. Build predictive models, machine learning algorithms and conduct A/B tests to assess the effectiveness of models. Present information using data visualization techniques. Collaborate with different teams (e.g., product development, marketing) and stakeholders to understand business needs and devise possible solutions. Stay updated with the latest technology trends in data science. Develop and implement real-time machine learning models for various projects. Engage with clients and consultants to gather and understand project requirements and expectations. Write well-structured, detailed, and compute-efficient code in Python to facilitate data analysis and model development. Utilize IDEs such as Jupyter Notebook, Spyder, and PyCharm for coding and model development. Apply agile methodology in project execution, participating in sprints, stand-ups, and retrospectives to enhance team collaboration and efficiency. Education IC - Typically requires a minimum of 5 years of related experience.Mgr & Exec - Typically requires a minimum of 3 years of related experience. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification. Why NetApp? We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches. We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life. If you want to help us build knowledge and solve big problems, let's talk.

About Us Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Every Scientist on Target’s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, to elevate Target’s culture, and apply retail domain knowledge. As a Data Scientist, you’ll Influence by interacting within the Data Sciences team, perform within the scale and scope of your role by implementing solutions, and contribute to Data Sciences’ and Target’s culture by modeling the culture. Through your understanding of the foundations and working principles of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory, you will perform data exploration and analysis (look at distributions, find anomalies, create simple visualizations, etc.) and implement algorithmic solution given specifications, while adhering to best practices in model development. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R), and learn and adhere to best practices in data analysis and data understanding. As you follow agile processes, you will implement prototypes for individual components of software or data science solutions and understand and leverage basic data structures and algorithms in implementing solutions. Leverage your high-level understanding in business domain to gain knowledge of high-level Target business priorities, strategic goals and their impact, as well as details of the specific business sub-problem you are focused on. You will collaborate with peers on their product and document and present work to peers and participate in code reviews and gain broader understanding of different components within the application. The exciting part of retail? It’s always changing! Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About You 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or 2+ years of experience as a Data Scientist Solid foundations in math and programming Strong fundamentals in Probability, Statistics, Linear Algebra Good knowledge of at least one of the following domains: Statistical learning, optimization, simulation, NLP, Time series analysis Strong analytical thinking skills with an bility to creatively solve business problems, innovating new approaches where required Strong hands-on programming skills in Python, SQL, Hadoop/Hive Passion for solving interesting and relevant real-world problems using a data science approach Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series) etc. Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills and ability to clearly tell data driven stories through appropriate visualizations, graphs and narratives Self-driven and results oriented Strong team player with ability to collaborate effectively across geographies/time zones

About Us Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Every Scientist on Target’s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, to elevate Target’s culture, and apply retail domain knowledge. As a Data Scientist, you’ll Influence by interacting within the Data Sciences team, perform within the scale and scope of your role by implementing solutions, and contribute to Data Sciences’ and Target’s culture by modeling the culture. Through your understanding of the foundations and working principles of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory, you will perform data exploration and analysis (look at distributions, find anomalies, create simple visualizations, etc.) and implement algorithmic solution given specifications, while adhering to best practices in model development. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R), and learn and adhere to best practices in data analysis and data understanding. As you follow agile processes, you will implement prototypes for individual components of software or data science solutions and understand and leverage basic data structures and algorithms in implementing solutions. Leverage your high-level understanding in business domain to gain knowledge of high-level Target business priorities, strategic goals and their impact, as well as details of the specific business sub-problem you are focused on. You will collaborate with peers on their product and document and present work to peers and participate in code reviews and gain broader understanding of different components within the application. The exciting part of retail? It’s always changing! Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About You 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience Solid foundations in math and programming Strong fundamentals in Probability, Statistics, Linear Algebra Good knowledge of at least one of the following domains: Statistical learning, optimization, simulation, NLP, Time series analysis Strong analytical thinking skills with an bility to creatively solve business problems, innovating new approaches where required Strong hands-on programming skills in Python, SQL, Hadoop/Hive Passion for solving interesting and relevant real-world problems using a data science approach Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series) etc. Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills and ability to clearly tell data driven stories through appropriate visualizations, graphs and narratives Self-driven and results oriented Strong team player with ability to collaborate effectively across geographies/time zones

Job Title: Senior Data Scientist (Remote – India) | Predictive Modeling & ML Location: Remote (India) Job Type: Full-Time Experience Required: 5+ Years About the Role We’re seeking an experienced Senior Data Scientist to join our remote India-based team. In this role, you’ll lead the development and deployment of advanced predictive models and machine learning solutions that drive key business decisions. If you're passionate about solving complex problems using AI/ML and cloud technologies, we’d love to hear from you. Key Responsibilities Predictive Modeling & Machine Learning Develop, train, and deploy ML models for forecasting, optimization, and business intelligence. Use tools like AWS SageMaker , Bedrock , TensorFlow , and PyTorch . Perform rigorous model validation, tuning, and performance monitoring. Data Engineering & Cloud Infrastructure Design and manage scalable ETL pipelines using AWS Glue . Optimize cloud data infrastructure and integrate services across the AWS ecosystem . Maintain high standards for data integrity and availability. Python Development Write clean, efficient, and reusable Python code using libraries like pandas, scikit-learn, TensorFlow, and PyTorch. Ensure proper documentation and adherence to coding best practices. Collaboration & Agile Practices Work closely with cross-functional teams (engineering, analytics, business). Present insights to technical and non-technical stakeholders clearly. Participate in Agile processes—sprint planning, stand-ups, retrospectives. Preferred Qualifications Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field. 5+ years of experience in data science, ML, and predictive analytics. Hands-on experience with cloud platforms (AWS preferred) . Familiarity with LLMs and Generative AI is a plus. Experience with geospatial data or applications in utility/energy sectors is advantageous.

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world. This Position reports to: Senior Manager - AI & Advanced Analytics Your role and responsibilities: In this role, you will have the opportunity to deliver and implement analytics strategy in one or more functional areas. Each day, you will drive data-driven strategy and decision making for predictive analytics and optimization by leveraging Artificial Intelligence (AI) and Machine Learning (ML). You will also showcase your expertise by building and maintaining large-scale statistical models that turn billions of data points into insights and actions. The work model for the role is: LI #Hybrid This role is contributing to the Process Automation Business of Energy division in Bangalore . You will be mainly accountable for: Support cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Implement wide range of projects, building large-scale distributed fine tuning, deploying LLMs on GPU instances for real-time use cases, designing robust, secure infrastructure. Build, develop, and maintain analytical models that support key business decisions. Oversee the scaling of analytics projects on cloud platforms to ensure seamless functionality and integration with business operations Qualifications For The Role (Mandatory) Master’s degree in computer science, Statistics, Applied Mathematics, or related scientific field. 5+ years of experience in a data science role, with a focus on analytics and data modeling in cloud environments. Relevant experience with Large Language Models, NLP, large-scale systems and data sets, deep learning, or adjacent fields. Well versed with production data pipelines and applications Strong problem-solving skills and passionate about GenAI to contribute to user-facing product Familiarity with NoSQL databases, enterprise search technologies, and recommendation systems Command using statistical computer languages (R, Python, SQL, etc.), SQL, Spark to manipulate data and draw insights from large data sets. More About Us (Mandatory) The Energy Industries Division serves a wide range of industrial sectors, including hydrocarbons, chemicals, pharmaceuticals, power generation and water. With its integrated solutions that automate, digitalize and electrify operations, the Division is committed to supporting traditional industries in their efforts to decarbonize. The Division also supports the development, integration and scaling up of new and renewable energy models. The Division’s goal is to help customers adapt and succeed in the rapidly changing global energy transition. Harnessing data, machine learning and artificial intelligence(AI), the Division brings over 50 years of domain expertise delivering solutions designed to improve energy, process and production efficiency, as well as reduce risk, operational cost and capital cost, while minimizing waste for customers, from project start-up and throughout the entire plant lifecycle. We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe. Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process. We never ask for money from job applicants. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.

Company: E Hireo Website: Visit Website Business Type: Consulting Firm Company Type: Service Business Model: B2B Funding Stage: Bootstrapped Industry: IT Services & Consultancy Salary Range: ₹ 8-20 Lacs PA Job Description This is the permanent role with a Valued client of e-Hireo Key Responsibilities Collaborate with the leadership, Product, Technology, Risk, and Marketing teams to drive data-driven initiatives. Proven expertise in modelling for business, customer analytics and growth strategies. Build models across the customer lifecycle (propensity, pricing, collections). Optimize acquisition funnels and campaign strategies. Leverage alternate data to enhance customer models. Drive collections and recovery strategies through data science techniques. Review, refine, and optimize existing models and analyses. Must-Have Experience & Skills: Hands-on experience in building ML models for growth, risk, or customer analytics. Proficiency in Python and SQL. Strong analytical, problem-solving, and cross-functional collaboration skills. Good-to-Have Experience in business strategy or analytics initiatives. Exposure to credit risk modeling and scorecard development Someone who has worked on ML models building scorecards

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

Role: Data Scientist Skills Required: Python, SQL, FastAPI, OOPs Concepts, NLP, Computer Vision, Generative AI Cloud: Azure/GCP Experience: 6 - 9Years Locations: Chennai, Coimbatore, Bangalore, Pune (Hybrid) Consider local candidates Work Mode: Hybrid B.E./ B.TECH Only immediate joiners can share resumes on sonika.sharma@programming.com Job Types: Full-time, Permanent Pay: Up to ₹1,100,000.00 per year Benefits: Flexible schedule Health insurance Provident Fund Experience: Data science: 6 years (Required) azure/ GCP: 4 years (Required) Work Location: In person