3292 Data Scientist Jobs - Page 4

Role & responsibilities Role: Data Scientist Location: Bangalore/Chennai Experience Level: Bachelors/Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field from a reputed institute. Position overview: We are seeking a Data Scientist with a strong background in Machine Learning, Natural Language Processing (NLP), Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will possess 1+ years of hands-on experience in developing and deploying advanced data-driven solutions. You will play a key role in our AI-CoE team, contributing to cutting-edge projects that drive innovation and business value. A special focus area for this role would be to build AI enabled products that would result in the creation of monetizable product differentiators for Tata Communications products and services. Detailed job description & Key Responsibilities: Develop, Test, and Deploy machine learning models for various business and Telco use cases. Perform data preprocessing, feature engineering and ML/DL model evaluation. Optimize and fine-tune models for performance and scalability. Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT/Llama/Claude/Grok Build and refine RAG models to improve information retrieval and answer generation systems. Integrate RAG methods into existing applications to enhance data accessibility and user experience. Work closely with cross-functional teams including software engineers, product managers, and domain experts. Communicate technical concepts to non-technical stakeholders effectively. Document processes, methodologies, and model development for internal and external stakeholders. Skills: Strong knowledge of probability and statistics. Working knowledge of machine learning and deep learning skills. Strong knowledge of programming knowledge – Python, SQL and commonly used frameworks & tools – PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. Excellent problem-solving skills and a proactive attitude. Strong communication and teamwork abilities. Ability to manage multiple projects and meet deadlines Interview will involve coding tests.

We are looking for a Senior Data Scientist who is passionate about solving complex business problems using data. The ideal candidate will have strong hands-on experience in Python , SQL , and advanced machine learning algorithms , along with domain expertise in forecasting , pricing optimization , or inventory planning . You will work closely with cross-functional teams including product, engineering, and business stakeholders to drive data-driven strategies. Key Responsibilities: Design, build, and deploy predictive and optimization models for use cases such as demand forecasting , dynamic pricing , or inventory optimization . Translate business problems into analytical frameworks and provide actionable insights. Build and maintain scalable data pipelines and model workflows using Python and SQL. Collaborate with data engineers to ensure model integration into production systems. Present findings and recommendations to leadership using data visualizations and storytelling. Stay current with the latest techniques in machine learning , statistics , and operations research . Lead and mentor junior data scientists and analysts when required. Required Skills and Experience: 5+ years of experience in a Data Science or Analytics role with a strong business impact. Strong programming skills in Python (pandas, scikit-learn, statsmodels, etc.). Proficiency in SQL for data extraction, transformation, and manipulation. Deep understanding of machine learning algorithms (regression, classification, clustering, time series forecasting). Experience with one or more of the following domains: Demand Forecasting Price Optimization Inventory Optimization / Supply Chain Analytics Strong problem-solving and quantitative skills. Experience working with large datasets and distributed computing tools (e.g., Spark, Hadoop) is a plus. Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Preferred Qualifications: Masters or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related field. Experience in retail, e-commerce, manufacturing, or logistics is a strong plus. Exposure to optimization libraries (e.g., PuLP, OR-Tools, Gurobi) is a bonus. Experience deploying models using MLOps tools or platforms is a plus

We are looking for a skilled and experienced Lead Data Scientist with a strong background in building AI-driven applications and solutions. In this role, you will play a critical role in advancing our generative AI capabilities, creating solutions that streamline processes, and optimizing data insights across the organization. The ideal candidate will be highly analytical, with a deep understanding of machine learning algorithms, advanced data processing techniques, and hands-on experience with Azure Open AI services. Key Responsibilities: AI Solution Development: Lead the development and enhancement of AI tools, including generative AI models, natural language processing (NLP) applications, and predictive analytics, that align with CDM Smiths business goals. Machine Learning & Deep Learning: Utilize supervised and unsupervised learning methods to address complex data science challenges. Apply advanced techniques, such as deep learning and neural networks, to optimize model performance. Data Engineering & Processing: Implement and improve data collection methods to ensure robust data pipelines. Focus on building systems that can efficiently process high volumes of data. Data Visualization: Design impactful visualizations using tools such as Power BI, making data insights accessible and actionable for stakeholders. Azure Open AI Expertise: Leverage Azures suite of AI tools, including LLMs and Custom Vision, for scalable, cloud-based deployment of AI solutions. Indexing & Document Optimization: Develop optimized indexing methods and document management strategies for high-volume data handling, especially within Azure Blob storage. Prompt Engineering: Apply prompt engineering techniques to improve the efficiency and accuracy of AI models, focusing on maximizing the effectiveness of LLM-based systems. Cross-functional Collaboration: Work with various teams to identify business challenges, translate them into data science projects, and implement data-driven solutions. Mentorship: Mentor junior data scientists, fostering an environment of growth and continuous learning. Required Qualifications: Educational Background: Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field. Experience: At least 9+ years of relevant experience in data science, with a focus on AI model deployment and application development in a cloud environment, specifically Azure Open AI with at least 2 of those years in a supervisory or leadership capacity. Technical Skills: o Proficient in Python and SQL for data manipulation, model building, and analysis. o Extensive experience with large language models (LLMs) and RAG architecture. o Advanced skills in machine learning algorithms, deep learning, and NLP. o Familiarity with Azure Blob storage and optimization techniques for high-volume document processing. o Strong data visualization abilities, with proficiency in tools such as Power BI, Tableau, or similar. Problem-Solving Skills : Strong analytical and debugging skills to identify, analyze, and solve complex data challenges. Communication Skills: Ability to communicate complex technical concepts to non-technical stakeholders effectively. Preferred Qualifications: Additional Skills: Experience with Azure Custom Vision and related AI tools. Exposure to prompt engineering and document content optimization techniques. Familiarity with data architecture and optimization practices for AI scalability. Soft Skills: o Ability to establish and build relationships across departments. o Strong organizational skills and attention to detail. o Ability to adapt quickly in a dynamic, fast-paced environment.

Job Title: Data Scientist - Forecasting & AI Strategy Location: Bangalore Experience: 8-12 years Type: Full-time Role Overview We are seeking an experienced Data Scientist with expertise in forecasting, Python, and Databricks to drive advanced analytics initiatives. This role focuses on forecasting and elasticity models to strengthen pricing, demand planning, and business optimization strategies. You will play a critical role in designing, deploying, and scaling machine learning solutions on Azure and Databricks , ensuring real-world impact and adoption. Key Tasks and Accountabilities Translate complex business challenges into analytical problems and deliver actionable insights. Own the end-to-end AI/ML lifecycle – data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Build and deploy forecasting models (time-series, regression, ML-based, deep learning) for demand planning, promotions, and pricing optimization. Develop reusable and modular Python code following OOP best practices . Architect and optimize workflows on Azure Databricks , ensuring scalability and automation with Airflow/MLFlow . Apply MLOps practices , including containerization (Docker) and CI/CD pipelines (GitHub). Collaborate with cross-functional teams (data engineering, product, commercial, finance) to deliver production-ready forecasting solutions. Mentor and guide mid-level/junior data scientists, fostering a culture of technical excellence. Clearly communicate technical findings and business impact to both technical and non-technical stakeholders , including leadership teams. Qualifications, Experience, Skills Education: B.Tech/BE/Masters in Computer Science, Data Science, AI/ML, Statistics, or related field. Experience: 8–12 years of relevant experience in data science and advanced analytics. Proven track record in forecasting models (ARIMA, Prophet, regression, ML ensembles, deep learning for time-series). Strong expertise in Python (with OOP principles) and PySpark . Hands-on experience with Azure cloud, Databricks, MLFlow , and workflow orchestration (Airflow). Practical experience with MLOps and containerization tools (Docker/Kubernetes). Strong background in deploying end-to-end ML solutions into production . Must Have Skills: Forecasting & Predictive Modeling (Time-series, ML-based, Deep Learning) Python, PySpark, Databricks (advanced proficiency) Azure Cloud ML Stack (MLFlow, Airflow, CI/CD, Git) Strong problem-solving and communication skills Good to Have: Exposure to Pricing and Revenue Management domains Product-building experience Experience working in global, cross-functional teams

We are seeking an experienced Data Scientist with over 7 years of experience for an immediate joiner position in Pune. The ideal candidate will possess strong expertise in statistical methods, machine learning algorithms, and data processing techniques. Responsibilities include analyzing complex datasets, building predictive models, conducting ad-hoc analyses, and presenting insights using BI tools like Tableau. Candidates should have strong programming skills in Python or R and proficiency in SQL. Excellent documentation and communication skills are essential for this role.

Role & responsibilities As a Data Scientist specializing in Generative AI and NLP , you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Key Responsibilities : Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. Model Customization & Fine-Tuning : Apply state-of-the-art techniques like LoRA , PEFT , and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact. Innovative Problem Solving : Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results. Data-Driven Insights : Conduct deep analysis of large datasets, uncovering insights and trends that guide decision-making, improve operational efficiencies, and fuel innovation. Cross-Functional Collaboration : Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications. Client Engagement : Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation.

Analyze large and complex logistics datasets to uncover patterns and optimize operations. Write efficient Python and SQL code to develop ETL workflows and data pipelines. Work with cloud platforms such as AWS, Azure, or GCP to architect scalable. Required Candidate profile Proficiency in Python (libraries like pandas, NumPy, scikit-learn). Hands-on experience with cloud platforms (AWS/Azure/GCP). Exposure to Generative AI frameworks or large language models e.g. OpenAI

Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu Preferred technical and professional experience Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Design & implement end-to-end speech analytics pipelines for production environments Develop ASR engines using state-of-the-art frameworks (Wav2vec, Whisper, Deep Speech) with PyTorch or TensorFlow

We are looking for a Data Scientist with 3-6 years experience for Bangalore location. Need candidates who can join us in short notice. Key Responsibilities You will be working on a variety of challenging problems involving descriptive, diagnostic, predictive and prescriptive analytics with customers in different industries such as financial services, telecommunications and retail. You will be tasked with building and operationalizing models such as customer segmentation models, purchase propensity models, recommendation models, churn models, anomaly detection models, time-series prediction models, etc. You will use a variety of algorithms from packages such as scikit-learn, statsmodels, Xgboost, tensorflow and pytorch. You’ll also use state-of-the-art MLOps practices to help evaluate different models, manage them and deploy them to production. Since you’ll be working on deploying models in production, you are also responsible for upholding a high standard of code quality and writing and maintaining documentation and tests for the code you write and models you develop. Finally, we are looking for creative thinkers to help us innovate as we work without customers and help develop reusable assets that can work across different customer engagements. Deep understanding of the algorithms (theory and application) that you have worked on. Strong proficiency in Python is necessary. Knowledge of data mining, cleaning, data visualisation and modelling using open source python libraries

Highly skilled Senior Machine Learning Engineer with expertise in Deep Learning, Large Language Models (LLMs), and MLOps/LLMOps to design, optimize, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience in developing and scaling deep learning models, fine-tuning LLMs/ (e.g., GPT, Llama), and implementing robust deployment pipelines for production environments. Responsibilities Model Development & Fine-Tuning: - Design, train, fine-tune and optimize deep learning models (CNNs, RNNs, Transformers) for NLP, computer vision, or multimodal applications. - Fine-tune and adapt Large Language Models (LLMs) for domain-specific tasks (e.g., text generation, summarization, semantic similarity). - Experiment with RLHF (Reinforcement Learning from Human Feedback) and other alignment techniques. Deployment & Scalability (MLOps/LLMOps): - Build and maintain end-to-end ML pipelines for training, evaluation, and deployment. - Deploy LLMs and deep learning models in production environments using frameworks like FastAPI, vLLM, or TensorRT. - Optimize models for low-latency, high-throughput inference (eg., quantization, distillation, etc.). - Implement CI/CD workflows for ML systems using tools like MLflow, Kubeflow. Monitoring & Optimization: - Set up logging, monitoring, and alerting for model performance (drift, latency, accuracy). - Work with DevOps teams to ensure scalability, security, and cost-efficiency of deployed models. Required Skills & Qualifications: - 5-7 years of hands-on experience in Deep Learning, NLP, and LLMs. - Strong proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, and LLM frameworks. - Experience with model deployment tools (Docker, Kubernetes, FastAPI). - Knowledge of MLOps/LLMOps best practices (model versioning, A/B testing, canary deployments). - Familiarity with cloud platforms (AWS, GCP, Azure). Preferred Qualifications: - Contributions to open-source LLM projects.

we are hiring Data Scientist !!! you will join our team in Bangalore and play a pivotal role in driving the development and implementation of advanced data and AI solutions. 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 Requirements : Proven experience as a Data Scientist for minimum 5 years. Solid understanding of machine learning Strong project management skills and proven ability working in cross-functional teams and mentoring talent. Job Types: Full-time, Permanent Pay: ₹800,000.00 - ₹1,400,000.00 per year Benefits: Provident Fund Experience: Data science: 4 years (Preferred) Work Location: In person

About You You are an expert in applying advanced analytics to solve marketing and sales business problems. You are equally comfortable applying your knowledge to optimize marketing spend or working with sales to optimize trade spend. You are hands-on in your ability to build models, but you are also comfortable coaching less experienced team members in how to solve problems, or managing agencies to deliver where needed. You know that having a great model isnt enough, you love to derive the so what from your models and tell compelling stories which inspire action and drive growth. A day in the life of... Youll be responsible for using advanced analytics to provide robust measurements of marketing & trade investment across different business models, product categories and varied geographies. You will work closely with your stakeholders to provide guidance on how best to optimize and allocate marketing & trade investments in order to support the delivery of our commercial strategy. As part of this role you will need to : Share your experience & knowledge and build Nestls internal modelling capability Partner with stakeholders to build and deliver a portfolio of advanced analytics initiatives Work closely with to identify and answer business problems/questions using appropriate modeling techniques on available data Evangelize and provide advisory services around data science capabilities and knowledge within Nestl Work with large, complex data sets and solve non-standard problems What will make you successful Be educated to MSc level (or equivalent) in Math, Statistics, Physics, Operations Research, Econometrics or Data Science. Have proven experience of handling large datasets and reporting automation. Be able to demonstrate an excellent understanding of marketing mix modelling and price & promotion analytics. Experience with dynamic linear models/state space models is of particular interest. Have the ability to network and influence at senior levels both internally and externally. Be able to interpret data and explain business performance in an easy to understand way that tells a story to key stakeholders. Have proven experience of working in a matrix environment; achieving results through effective influencing and collaboration. Have advanced MS Excel, SQL, R, Python (or similar) experience

Job Description: Optum is a global organization that delivers care, aided by technology, to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking highly skilled AI/ML Engineers to join our team. AI/ML Engineers code and develop software that deploys ML models and algorithms into production. Communicate and present complex analytics results and concepts to leadership and internal stakeholders. Employ AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR). Apply deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. May adapt machine learning to areas such as artificial intelligence, robotics and other products that allow users to have an interactive experience. Work with large scale computing frameworks and data analysis systems. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis, using both general purpose software and statistical languages Key Responsibilities: Design, develop, and implement machine learning models and algorithms to solve complex healthcare problems. Design and implement AI/ML solutions using Python, along with libraries like pandas, NumPy, and SQL for data handling Build and deploy models using frameworks such as Scikit-learn, TensorFlow, and PyTorch Perform exploratory data analysis (EDA), statistical analysis, and feature engineering to extract meaningful insights from data Develop, tune, and evaluate machine learning models for both predictive and prescriptive analytics Conduct drift analysis to monitor model performance and maintain accuracy over time Collaborate with cross-functional teams to translate business requirements into scalable technical solutions Manage the full lifecycle of AI/ML projects, including data preparation, model development, optimization, and deployment Ensure scalability, reliability, and efficiency of AI/ML systems in production environments Stay up-to-date with the latest advancements in AI/ML tools and techniques, identifying opportunities to enhance existing solutions Document methodologies, findings, and insights clearly for both technical and non-technical stakeholders Participate actively in the full AI lifecycle: contributing to brainstorming and conceptualization, rapid prototyping and experimentation, and writing high-quality, robust production code Utilize and contribute to reusable AI/ML platforms, components, and frameworks, helping to improve engineering efficiency Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Key Skills: Strong foundation in machine learning, deep learning, and model evaluation techniques Proficient in Python, with hands-on experience using PyTorch, TensorFlow, and scikit-learn Skilled in data preprocessing, feature engineering, and SQL-based data handling Familiar with deploying APIs using Docker, FastAPI, and managing version control with Git Experience working with cloud platforms such as AWS, GCP, and Azure, including scalable ML model deployment Understanding of MLOps tools like MLflow and Kubeflow, and implementing CI/CD workflows for ML systems. Strong experience with Docker and Kubernetes (AKS) for cloud-native development. Experience with message queues like Azure Service Bus. In-depth knowledge of LLM vulnerabilities and implementation of guardrails. Hands-on experience with FastAPI and Pydantic for building microservices. Proficiency with explainable AI tools like LIME and SHAP. Qualifications: Bachelor's or Master's degree in Computer Science, AI/ML, or a related field. 10+ years of experience in AIML engineering and research Core Experience: 5+ years of professional software engineering experience with a significant focus on building and deploying production-grade AI/ML models and systems. Excellent problem-solving skills and the ability to work independently and collaboratively. Strong communication skills and the ability to present complex technical concepts to non-technical stakeholders. Familiarity with AIML governance, ethics, and responsible AI practices

Job Description: Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking an experienced and highly skilled Principal Data Scientist to join our team as an AI Builder. The ideal candidate will have a strong background in data science, machine learning, and AI, with a proven track record of developing and deploying advanced AI models to solve complex healthcare challenges. This role requires leadership, innovation, and the ability to drive AI initiatives from concept to production. Key Responsibilities: Lead and conduct advanced research in AI/ML to drive innovation in healthcare. Design, develop, and implement machine learning models and algorithms to solve complex healthcare problems. Lead the delivery of high-impact analytics solutions, integrating advanced AI and Generative AI components to support business use cases within the Analytics group Design and manage development of modular, reusable, and maintainable software supporting the Quality organization and strategic analytics initiatives Maintain hands-on involvement in solution development, ensuring rapid response to bugs and security vulnerabilities across owned code repositories Apply and promote software engineering best practices, fostering technical excellence across the engineering community Collaborate extensively with teams across Security, Compliance, Engineering, Product Management, Service Management, and Business Operations to ensure alignment and successful execution Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Key Skills: Expert-level Python for production systems. In-depth knowledge of LLM vulnerabilities and implementation of guardrails. Proven experience working with AWS SageMaker for model development, deployment, and monitoring. Deploy applications in orchestrated environments like Kubernetes (AKS) using Docker. Apply explainable AI (AXI) tools such as LIME and SHAP to ensure transparency and interpretability of AI models. Apply deep learning algorithm techniques, open-source tools, and technologies. Implement classical machine learning algorithms such as Logistic Regression, Decision Trees, Clustering (K-means, Hierarchical, and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, and Recommender Systems. Develop deep learning algorithms like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks (Feedforward, CNN, LSTMs, GRUs). Experience with cloud platforms (AWS preferred), including SageMaker. Proficiency in statistical analysis tools and libraries (e.g., NumPy, Pandas, PyMC3, or similar) Hands-on experience with FastAPI and Pydantic for building microservices. Qualifications: Bachelors or equivalent experience in Computer Science, Data Science, AI/ML, or a related field. 8+ years of proven experience in leading AI/ML research projects and teams. Strong programming skills in Python, R, and SQL. Excellent problem-solving skills and the ability to work independently and collaboratively. Strong communication skills and the ability to present complex technical concepts to non-technical stakeholders. Familiarity with AIML governance, ethics, and responsible AI practices Key Skills: Proficiency AutoML: Automated Machine Learning (AutoML) tools like Azure ML Studio, Google Cloud AutoML, and DataRobotStrong statistical and mathematical knowledge - Must have Deep Learning algorithm techniques, open-source tools and technologies, statistical tools, and programming environments such as Python, PySpark and SQL - Must have Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil – Must have Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech or Image processing – Must Have Deep Learning frameworks for Production Systems like TensorFlow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono – Must Have Exposure or experience using code version management tools such as: GitHub - Must have Synthetic Data Generation: Tools like Gretel.ai and Synthea are used to generate synthetic data, which can be useful for training models when real data is scarce or sensitive - Good to Have Generative AI experience - LLMs, RAG Architecture(Embeddings(Azure Ai Search, DataBricks) , Semantic Search Etc. – Must Have Production Grade solution architecture for RAG based AI Solutions – Good to have

We are looking for Data scientist who are interested to work from office 5 days a week . Location : Noida (Work from office) Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. Proven experience as a Data Scientist with 4-5 years of hands-on experience. Strong proficiency in Python programming, machine learning model development, and GenAI integration. Expertise in machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Knowledge of MLOps practices, including model versioning and containerization. Excellent data analysis and problem-solving skills with attention to detail. Effective communication and collaboration skills. Additional Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure, GCP). Familiarity with big data technologies (e.g., Apache Spark, Hadoop). Knowledge of deep learning techniques and neural networks. Previous involvement in end-to-end machine learning lifecycle projects with GenAI components. Interview Process : 1st level -Technical discussion 2nd Level in person discussion If Interested please share details to mounika.tungala@coforge.com Total Exp : Rel Exp with Python : Exp in Data science : current Location : CTC : Exp CTC : Notice Period : Availability for Interview : Ready to work from office :

Python / R, SQL ML/DL (TensorFlow, PyTorch, Scikit-learn) Data Preprocessing, Feature Engineering Visualization (Tableau / Power BI) Cloud exposure (AWS/Azure/GCP preferred)

We are seeking a Senior Data Scientist with deep expertise in Machine Learning, Generative AI (Gen AI), Large Language Models (LLMs), and experimental design to join our growing AI team. This role is ideal for someone passionate about evaluating cutting-edge ML/Gen AI systems, designing robust A/B tests, and translating data into actionable insights that drive product and business strategy. Job Title: Senior Data Scientist Machine Learning & Gen AI Evaluation Location: Hyderabad | Experience Level: 5+ Years Employment Type: Full-Time Responsibilities: Design and implement evaluation pipelines for LLMs and other Gen AI systems, including human and automated benchmarking. Lead the design, execution, and analysis of A/B tests and other controlled experiments to evaluate product and ML feature performance. Develop, validate, and optimize ML models across various domains (e.g., NLP, recommendation, personalization). Analyze system behavior using statistical methods to improve accuracy, fairness, robustness, and user experience. Work cross-functionally with Product, Engineering, and Research to embed data-driven insights into the development cycle. Build tools and dashboards to monitor model performance and key business metrics over time. Required Qualifications: 5+ years of hands-on experience in Data Science or Applied Machine Learning roles. Proven experience working with LLMs and Generative AI technologies (e.g., OpenAI, Hugging Face, fine-tuning, prompt engineering). Strong background in experimental design, A/B testing, and causal inference. Proficient in Python and common data science libraries (e.g., NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow). Experience with cloud platforms (AWS, GCP, or Azure) and data infrastructure (e.g., SQL, Spark). Strong communication skills with the ability to present complex findings to technical and non-technical stakeholders. Preferred Qualifications: Advanced degree (Graduation/Post-Graduation) in Computer Science, Statistics, Machine Learning, or a related field. Experience working on GenAI evaluation at scale, including RLHF or other human feedback techniques. Familiarity with privacy, fairness, and ethical considerations in ML/GenAI systems.

Experience: 7+ years Job Responsibilities Research and Implement cutting edge techniques(Fine tuning, RLHF) in aligning Generative models to specific problem domains. Build the necessary tooling for data acquisition, data cleaning, data augmentation, model training and visualization. Evaluate and Implement the ML/Deep learning/GenAI models Optimize models for production usage and help productize the generation scenarios to a production setting. Required Qualifications, Capabilities, And Skills Masters or relevant degree in Data Science. 4+ years industry experience working as a Data Scientist on large-scale data science projects, with a proven track record of delivering business value. Proficiency in Python or R Expertise in statistical concepts and experience with traditional ML libraries such as scikit-learn, stats models and pandas Experience in optimization and scaling of ML solutions for real world business use cases. Extensive experience with developing and serving large scale Deep learning models across different data domains. Proficiency with at least one deep learning library (Pytorch, Tensorflow or Keras) with building and deploying DNN models in production. Expertise in NLP, Transformers, Large Language Models, hugging face library. Optimizations around LLM training and serving. Experience with production operations and good practices for putting quality code in production and troubleshoot issues when they arise Take initiative and be responsible for delivering complex software by working effectively with the team and other stakeholders Can easily communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations) Preferred Qualifications Master’s degree in Data Science/ML/AI Certification in cloud platforms such as AWS, GCP, and/or Azure.

Job Title: Data Scientist Location: Mohali Experience: 2–3 Years Type: Full-Time We’re hiring a Data Scientist with 2–3 years of experience to join our team in Mohali. The ideal candidate should have hands-on experience in data analysis, machine learning, and programming (Python/R/SQL). Key Skills: Python / R / SQL Machine Learning Data Visualization (Tableau / Power BI) Strong problem-solving skills Requirements: Bachelor’s/Master’s in Data Science, Computer Science, or related field2–3 years of relevant experience. To Apply: Send your resume to [ [email protected] ] Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,200,000.00 per year Benefits: Paid sick time Paid time off Work from home Work Location: In person

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.

Build agentic AI for finance: design LLM workflows with PMs. Req: 3+ yrs Python; data/AI pipelines; LLM orchestration; cloud/APIs; vector DBs & semantic search; prompt engineering; workflow tools; knowledge graphs; HITL; observability; OSS; agile. Provident fund Health insurance Annual bonus

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