3351 Data Science Jobs - Page 30

Honeybee Digital is looking for Data Science Intern to join our dynamic team and embark on a rewarding career journey Assist in data science projects and activities Conduct data analysis and visualization Develop and implement data science models and algorithms Monitor and report on data science performance metrics Collaborate with data science teams to optimize operations Gain practical experience in data science

Socialion Media is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey Collecting and analyzing large data sets using statistical and data visualization tools Identifying patterns, trends, and correlations in data to inform business decisions Developing and maintaining databases, data systems, and data analytics tools Developing and implementing data analysis processes and methodologies Creating and delivering reports and presentations that clearly communicate data insights to management and other stakeholders Collaborating with other departments, such as marketing and operations, to develop data-driven solutions to business problems Ensuring data accuracy, completeness, and integrity Designing and conducting experiments to test hypotheses and validate assumptions Developing and maintaining predictive models to forecast business outcomes

# Hands on programming exp in R language and Shiny tool # Experience in R libraries covering MS SQL Datasource Connectivity, Data Ingestion and Transformation # Experience in Shiny tool in developing complex UI with the combination of Generic charts and custom Graphs # Inquisitiveness to learn and good problem solving ability # Experience in R libraries covering MS SQL Datasource Connectivity, Data Ingestion and Transformation # Experience in Shiny tool in developing complex UI with the combination of Generic charts and custom Graphs # Inquisitiveness to learn and good problem solving ability Interested candidates may email their resume to . Role:- You will be a part of current development team and will play a part developing applications as a part of internal products or business requirement.

We\u2019reseeking a self-motivated, self-learning AI/ML Research &Engineering Intern to help build a proof-of-concept for a multi-modalPDF-to-vector pipeline. You\u2019ll blend research on cutting-edge vision+languagemodels with hands-on prototyping of the end-to-end orchestration layer, frommodel outputs to structured vector primitives. Job Title: Intern - AI ML Location: Pune, Work from Office Job Type: Full-time Requirements Qualifications Education: Pursuing or recentlycompleted a Bachelor/Master in Computer Science, Data Science, ElectricalEngineering, or a related field. Technical Skills: Proficiency in Python andexperience with Jupyter notebooks. Familiarity withdeep-learning frameworks (TensorFlow, PyTorch, or similar). Exposure to computervision (e.g., OpenCV) and/or OCR tools is a plus. Experience calling LLMAPIs (OpenAI, LangChain, etc.) or willingness to learn prompt engineering. Soft Skills: Self-Motivated &Self-Learner: Able toindependently research new models and implement proof-of-concept experiments. Strong analytical andproblem-solving abilities. Clear written and verbalcommunication, comfortable presenting technical findings.

Req ID: 312481 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Sr. Data Science & AIML, GenAI Lead/Engineer to join our team in Bangalore, Karn taka (IN-KA), India (IN). Job Duties: Job Title: Data Science & AIML, GenAI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Minimum Skills Required: Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain. #GenAINTT

Req ID: 328242 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Software Development Analyst - AgenticAI solutions to join our team in Bengaluru, Karn taka (IN-KA), India (IN). Responsibilities - Apply natural language processing, generative AI, machine learning, and data analytics techniques to solve real-world problems - Develop, test, and deploy data-driven solutions using Python, Azure, OpenAI, PyTorch, TensorFlow, and other frameworks - Collaborate with cross-functional teams to understand business needs and deliver insights and recommendations - Communicate complex data findings and solutions in a clear and concise manner - Stay updated with the latest developments and trends in data science and related fields

Req ID: 312511 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Mid Data Science & AIML, GenAI Lead/Engineer to join our team in Bangalore, Karn taka (IN-KA), India (IN). Job Duties: Job Title: Data Science & AIML, GenAI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Minimum Skills Required: Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain. #GenAINTT

Req ID: 312510 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Mid Data Science & AIML, GenAI Lead/Engineer to join our team in Bangalore, Karn taka (IN-KA), India (IN). Job Duties: Job Title: Data Science & AIML, GenAI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Minimum Skills Required: Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain. #GenAINTT

Req ID: 303765 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a AI Data Engineer to join our team in Hyderabad, Telangana (IN-TG), India (IN). "Job Title: Data Science & AIML, GenAI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain."

Data Integration Engineer : We are looking for a motivated and an experienced data engineer to join a growing data science team.. As a senior data engineer, you will be required to work closely with customers, data scientists and solution architects to build robust production ready data infrastructure and data pipelines to help scale the machine learning and analytics solutions. In this role, you will drive the development of data engineering solutions from initial experimentation to production level deployment. You will also work with data science leadership to develop internal tools for rapid data ingestion and integration of customer data into selected cloud platforms and other SaaS solutions. Responsibilities: Collaborate and work in a global data science team to develop scalable and robust data integration infrastructure. Engage directly with customers and partners to design and develop data requirements based on functional requirements. Build custom data integration pipelines from existing source systems into cloud platforms such as AWS, Microsoft Azure etc. Enable data ingestion, pre-processing, custom data wrangling from filesystems, databases, queues and streams to enable rapid prototyping. Work with customers to develop custom data handlers and connectors as needed. Perform a variety of data loads & data transformations. Improve database and application performance with fine tuning. Work with other project teams for data integrations and data lake requirements. Automate processes for better stability and performance of application. Qualifications/Requirements BS or MS degree in Computer Science, Engineering, IT. Minimum 5+ years of professional experience in data engineering, databases and and/or business analytics. Experience reading and parsing industrial P&ID and PFD documents. Solid background and experience in SQL, Python and/or Java/Scala Minimum 3 years experience in ETL and data pipeline design for heterogenous data such as time series, streams, queues and text. Familiarity with containers and container services like Docker, Docker registry and Kubernetes. Knowledge of test-driven development, agile software development methodologies and tools . Excellent verbal and written communication skills to work in a global team and with customers on a regular basis. Location : Bangalore (Remote till covid) Work timings : 2.30 pm- 11.30 pm Notice Period : Immediate-30 day

Description We are seeking a highly skilled and motivated AI Engineer with expertise in Python and AI frameworks to join our dynamic team. The ideal candidate should have more than 5 years of IT experience, with at least 3 years of specific experience working with AI platforms and Python. As AI Engineer, you will play a crucial role in developing and implementing innovative solutions that leverage AI/ML platform to extract valuable insights from complex data sets. Your work will contribute to enhancing our data-driven decision-making processes and advancing our products and services. Responsibilities: Partner with stakeholders to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform. Develop and implement state of the art AI techniques such as retrieval-augmented generation (RAG), fine-tuning, prompt engineering, AI agents, ML model training , and optimizing model performance for real-world deployment to maximize business impact. Forge and manage relationships with our customers leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow. Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI . Serve as the voice of our business stakeholders for new AI paradigms, data science workflows, and share customer feedback to product teams Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI. Qualifications 5 years of customer-facing experience in the design and implementation of AI/ML solutions. Proficient in Python. Expertise in AI frameworks and libraries, such as scikit-learn, PyTorch , Hugging Face Transformers, LangChain , and OpenAI APIs. Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement. Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. Ability to work in a fast-paced environment and balance priorities across multiple projects at once. B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience. Job Information Technology Primary Location India-Karnataka-Bengaluru Schedule: Full-time Travel: No Req ID: 251422

Working at Atlassian Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. ","responsibilities":" Your Future team At DevInfra Transformations, we enable teams to ship quality at velocity. Our focus is to Build an industry-leading platform. Validate our hypothesis with data. Ship features for internal and external usage . This is accomplished by building complete end-to-end ML enabled development cycle and leveraging AI capabilities extensively. This is a unique opportunity to work in a collaborative environment, implement the cutting edge machine learning techniques, especially forecasting modelings, and tackle challenging and distinctive problems. Responsibilities As a Senior Machine Learning engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with engineering and analytics teams, to build the AI functionality into Atlassian products and platforms. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to junior ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AIs transformative potential is realized across Jira. Qualifications On the first day, well expect you to have Bachelors or Masters degree (preferably a Computer Science degree or equivalent experience) 8+ years of related industry experience in the data science domain Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks) Experience building and scaling machine learning models in business applications using large amounts of data Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future" Agile development mindset, appreciating the benefit of constant iteration and improvement Good to have Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space Experience in developing deep learning-based models and working on LLM-related applications Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions ","qualifications":" Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit

Working at Atlassian Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Your Future team At DevInfra Transformations, we enable teams to ship quality at velocity. Our focus is to Build an industry-leading internal platform. Validate our hypothesis with data. Ship features for internal and external usage . This is accomplished by building complete end-to-end ML enabled development cycle and leveraging AI capabilities extensively. This is a unique opportunity to work in a collaborative environment, implement the cutting edge machine learning techniques, especially forecasting modelings, and tackle challenging and distinctive problems. ","responsibilities":" As a principal Machine Learning engineer, you will independently work on the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with engineering and analytics teams, to build the AI functionality for Atlassian. Your daily responsibilities will encompass a broad spectrum of tasks such as understanding system and model architectures, conducting rigorous experimentation and model evaluations and dealing with related problems. Your role is pivotal, stretching beyond these tasks, ensuring AIs transformative potential is realized across Atlassian products and platforms. ","qualifications":" On the first day, well expect you to have 10+ years of total experience, 5+ years of related industry experience in the MLE / data science domain Fluency in Python Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, and NLP. Familiarity with popular ML libraries like sci-kit-learn, Keras/TensorFlow/PyTorch, numpy, pandas Good Understanding of Machine Learning project lifecycle Experience in architecting and implementing high-performance RESTful microservices ( API development for ML Models ) Familiarity with MLOps and experience with scaling and deploying Machine Learning models Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future" Agile development mindset, appreciating the benefit of constant iteration and improvement Experience in model fine tuning, data collection, reinforced learning, synthetic data generation, feedback loop, latency / accuracy improvements, quantisation etc Ability to lead independently Its Great, But Not Required, If You Have Experience in developing deep learning-based models and working on LLM-related applications Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions. Experience or passion on building cutting edge developer tools products with AI/ML Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit

Req ID: 312429 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Mid Data Science & AIML, GenAI Lead/Engineer to join our team in Bangalore, Karn taka (IN-KA), India (IN). Job Duties: Job Title: Data Science & AIML, GenAI Lead/Engineer Responsibilities: Conduct data analysis using Python. Develop AI models leveraging Langchain, LlamaIndex, and Azure OpenAI Services. Utilize Generative AI models and Natural Language Processing techniques. Implement Retrieval-Augmented Generation (RAG) solutions. Apply machine learning algorithms, data pre-processing, and manage AI lifecycle (model training, validation, monitoring). Minimum Skills Required: Qualifications: 2+ years of experience with AI Python development Bachelor s degree in computer science, Information Technology, or related field. Strong analytical skills and attention to detail. Ability to work independently or as part of a team. #GenAINTT

Job Responsibilities: Development of AI/ML models and workflow to apply advanced algorithms and machine learning Enable team to run an automated design engine Creates design standards and assurance processes for easily deployable and scalable models. Ensure successful developments: Be a technical leader through strong example and training of more junior engineers, documenting all relevant product and design information to educate others on novel design techniques and provide guidance on product usage CI/CD Pipeline (Azure Devops/Git) integration as Code repository. Minimum Qualifications (Experience and Skills) 5+ years of Data science experience A strong software engineering background with emphasis on C/C++ or Python 1+ years of experience in AWS Sagemaker Services Exposure to AWS lambda ,API Gateway, AWs Amplify & AWS Serverless , AWS Cognotio, AWS Security Experience in debugging complex issues with a focus on object-oriented software design and development Experience with optimization techniques and algorithms Experience developing artificial neural networks and deep neural networks Previous experience working in an Agile environment, and collaborating with multi-disciplinary teams Ability to communicate and document design work with clarity and completeness Previous experience working on machine learning projects. Team player with a strong sense of urgency to meet product requirements with punctuality and professionalism Preferred Qualifications Programming Experience in Perl / Python / R / Matlab / Shell scripting Knowledge of neural networks, with hands-on experience using ML frameworks such as TensorFlow or PyTorch Knowledge of Convolutional Neural Networks (CNNs), RNN/LSTMs Knowledge of data management fundamentals and data storage principles Knowledge of distributed systems as it pertains to data storage and computing Knowledge of reinforcement learning techniques Knowledge of evolutionary algorithms AWS Certification

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % Mandatory Skills: Data Science. Experience5-8 Years.

We are looking for a highly skilled Business Analyst with a focus on AI Cognitive at Wipro Technologies, specifically within the TS - DATA ANALYTICS & AI sector. you will be responsible for driving innovation and delivering top-notch AI/ML solutions in the healthcare sector. Your role will involve a wide range of tasks from AI/ML development and deployment to collaboration with cross-functional teams and ensuring compliance with AI ethics and standards. Preferred qualifications for this role include experience in AI/ML in healthcare, proficiency in Python and deep learning frameworks like PyTorch, and expertise in working with cloud development environments such as Azure, AWS, and GCP. You should also have a solid understanding of Generative AI technology, NLP, and machine learning models deployment. Mandatory Skills: AI Cognitive. Experience5-8 Years.

Mandatory Skills: Data Analysis. Experience5-8 Years.

Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Do 1.Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Works closely with various IT groups to transition tasks, ensure performance and manage issues through to resolution Perform detailed documentation (App view, multiple sections & views) of the architectural design and solution mentioning all the artefacts in detail Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Collaborating with sales, program/project, consulting teams to reconcile solutions to architecture Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the project planning phase in the form of technical architectural designs and recommendation Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture Identifies implementation risks and potential impacts 2.Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Ensures architecture principles and standards are consistently applied to all the projects Ensure optimal Client Engagement Support pre-sales team while presenting the entire solution design and its principles to the client Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc 4.Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: Product Engineering Data Sciences. Experience8-10 Years.

We are seeking a passionate and skilled Data Science, AI & ML Trainer with 2-5 years of experience to join our team. The ideal candidate will deliver engaging, hands-on training sessions, simplifying complex concepts and guiding learners through practical, real-world projects. This role is perfect for an individual enthusiastic about teaching and staying at the forefront of AI/ML advancements. Key Responsibilities Design and deliver high-quality training sessions on Python, Data Analysis, Machine Learning, and AI fundamentals. Collaborate with the curriculum development team to create relevant course content, hands-on exercises, and mini-projects. Mentor and support learners, addressing technical queries and fostering a collaborative learning environment. Stay updated with the latest tools, frameworks, and trends in Data Science, AI, and ML to ensure training content remains current. Evaluate learner progress and provide constructive feedback to enhance skill development. Contribute to the creation of training materials, including presentations, tutorials, and case studies. Requirements 2-5 years of professional experience in Data Science, AI/ML roles, or training. Strong proficiency in Python and key libraries such as Pandas, NumPy, and Scikit-learn. Excellent communication and presentation skills, with the ability to explain complex concepts clearly. Passion for teaching, mentoring, and empowering learners. Strong organizational skills and the ability to manage multiple training sessions effectively. Proactive and self-motivated with a commitment to continuous learning. Good to Have Experience with Deep Learning frameworks such as TensorFlow or PyTorch. Familiarity with Natural Language Processing (NLP) or cloud platforms (e.g., AWS, Azure, GCP). Prior experience conducting workshops, bootcamps, or corporate training sessions. Knowledge of data visualization tools like Matplotlib, Seaborn, or Tableau.

Job Title: Senior Data Scientist About Trellix: Trellix, the trusted CISO ally, is redefining the future of cybersecurity and soulful work. Our comprehensive, GenAI-powered platform helps organizations confronted by today s most advanced threats gain confidence in the protection and resilience of their operations. Along with an extensive partner ecosystem, we accelerate technology innovation through artificial intelligence, automation, and analytics to empower over 53,000 customers with responsibly architected security solutions. We also recognize the importance of closing the 4-million-person cybersecurity talent gap. We aim to create a home for anyone seeking a meaningful future in cybersecurity and look for candidates across industries to join us in soulful work. More at https://www.trellix.com/ . Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist to join our innovative Data Science team. Reporting to the Data Science Director, you will contribute to the development of advanced Machine Learning (ML) solutions for cybersecurity challenges, including threat detection, malware analysis, and anomaly detection. Your expertise will help drive end-to-end ML product development, from data preparation to deployment, while ensuring seamless integration into our core products. What You Will Do: As a Senior Data Scientist, you will work in a team of smart data scientists reporting to the Data Science Director that does full-lifecycle full-stack Machine Learning product development, from feature engineering to model building and evaluation. Our teams use cases include but are not limited to threat detection, threat hunting, malware detection and anomaly detection, and MLOps. You will work with other Senior Data Scientists in the team to execute data science projects. You will identify issues with models running in production and resolve them. This may require retraining models from scratch, adding new features to model, set-up automated model training and deployment pipelines. These models will be integrated into popular products of the company to show maximum impact. About You: A Master Degree or Equivalent degree in Machine Learning, Computer Science, or Electrical Engineering, Mathematics, Statistics In-Depth understanding of all major Machine Learning and Deep learning algorithms, supervised and unsupervised both Passion for leveraging ML/AI to solve real-world business problems 4-7 years of industry experience in one or more machine/deep learning frameworks 4-7 years of industry experience with Python/Pyspark and SQL Experience solving multiple business problems using Machine Learning Experience with various public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as MLFlow) Should be able to drive end-to-end machine learning project with limited guidance Solid computer science foundation Good written and verbal communication Ph.D in Cyber Security/Machine Learning or related field will be an added advantage 4-7 years of industry experience in the field of Data Science/Machine learning Prior experience in solving cyber security problems using machine learning Familiarity with Security Domain will be a plus Company Benefits and Perks: We believe that the best solutions are developed by teams who embrace each others unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement Were serious ab out our commitment to a workplace where everyone can thrive and contribute to our industry-leading products and customer support, which is why we prohibit discrimination and harassment based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

Departments-Computer Science & Engineering ,Artificial Intelligence & Machine Learning, CSE-Data Science, Information Science & Engineering, Electrical & Electronics Engineering, Master of Business Administration, Master of Computer Application, Qualification: Bachelor s Degree, master s degree, Ph.D. Experience: Assistant Professor Bachelor s Degree, master s degree with 0-3 years of Experience. Associate Professor Bachelor s Degree, master s degree, Ph.D. with minimum 5-8 Years of Experience of which 2 years post Ph.D. experience. Professor Bachelor s Degree, master s degree, Ph.D. with minimum 10 Years of Experience of which at least 5 years at the level of Associate Professor.

Req ID: 328578 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Scientist to join our team in Bangalore, Karn taka (IN-KA), India (IN). Job Title: Data Scientist Location: Bangalore (Hybrid) Experience: 5-7 years Job Summary: We are looking for a versatile and innovative Data Scientist with experience in Azure Cloud , .NET , ReactJS , and Python (LangChain & FastAPI) to join our cross-functional team. This role blends data science expertise with full-stack development and cloud deployment, enabling intelligent solutions that scale. Key Responsibilities: Design and implement machine learning models and NLP pipelines using Python, LangChain, and FastAPI. Develop and deploy data-driven applications on Microsoft Azure , leveraging services like Azure ML, Azure Functions, and Azure Data Lake. Collaborate with backend developers using .NET and frontend developers using ReactJS to integrate AI models into scalable web applications. Build APIs and microservices to serve ML models and data insights. Perform data wrangling, feature engineering, and model evaluation. Create dashboards and visualizations to communicate insights to stakeholders. Ensure security, scalability, and performance of deployed solutions in the Azure environment. Required Skills & Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, or a related field. Strong experience with Python , especially LangChain , FastAPI , and data science libraries (pandas, scikit-learn, etc.). Proficiency in .NET (C#) for backend development. Experience with ReactJS for building interactive UIs. Hands-on experience with Azure Cloud Services (e.g., Azure ML, Azure Functions, Azure DevOps). Solid understanding of RESTful APIs, microservices, and CI/CD pipelines. Strong problem-solving and communication skills. Preferred Qualifications: Experience with LLMs, vector databases, and prompt engineering. Familiarity with containerization (Docker, Kubernetes). Knowledge of MLOps practices and tools. Exposure to Agile/Scrum methodologies.

Senior Data Scientist Gen AI Experience: 3 - 6 Years Exp. Salary : INR 25-33 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Onsite (Hyderabad) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Gen AI Good to have skills : MDM platforms Blend360 (One of Uplers' Clients) is Looking for: Senior Data Scientist Gen AI who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description We are hiring a Senior Data Scientist (Generative AI) to spearhead the development of advanced AI-powered classification and matching systems on Databricks. You will contribute to flagship programs like the Diageo AI POC by building RAG pipelines, deploying agentic AI workflows, and scaling LLM-based solutions for high-precision entity matching and MDM modernization. Key Responsibilities Design and implement end-to-end AI pipelines for product classification, fuzzy matching, and deduplication using LLMs, RAG, and Databricks-native workflows. Develop scalable, reproducible AI solutions within Databricks notebooks and job clusters, leveraging Delta Lake, MLflow, and Unity Catalog. Engineer Retrieval-Augmented Generation (RAG) workflows using vector search and integrate with Python-based matching logic. Build agent-based automation pipelines (rule-driven + GenAI agents) for anomaly detection, compliance validation, and harmonization logic. Implement explainability, audit trails, and governance-first AI workflows aligned with enterprise-grade MDM needs. Collaborate with data engineers, BI teams, and product owners to integrate GenAI outputs into downstream systems. Contribute to modular system design and documentation for long-term scalability and maintainability. Qualifications Bachelors/Masters in Computer Science, Artificial Intelligence, or related field. 5+ years of overall Data Science experience with 2+ years in Generative AI / LLM-based applications. Deep experience with Databricks ecosystem: Delta Lake, MLflow, DBFS, Databricks Jobs & Workflows. Strong Python and PySpark skills with ability to build scalable data pipelines and AI workflows in Databricks. Experience with LLMs (e.g., OpenAI, LLaMA, Mistral) and frameworks like LangChain or LlamaIndex. Working knowledge of vector databases (e.g., FAISS, Chroma) and prompt engineering for classification/retrieval. Exposure to MDM platforms (e.g., Stibo STEP) and familiarity with data harmonization challenges. Experience with explainability frameworks (e.g., SHAP, LIME) and AI audit tooling. Preferred Skills Knowledge of agentic AI architectures and multi-agent orchestration. Familiarity with Azure Data Hub and enterprise data ingestion frameworks. Understanding of data governance, lineage, and regulatory compliance in AI systems. Interview Process Online Assessment Technical Screenings -2 Technical Interviews - 2 Project Review Client Interview How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. The company has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace. About Uplers: Uplers is the #1 hiring platform for SaaS companies, designed to help you hire top product and engineering talent quickly and efficiently. Our end-to-end AI-powered platform combines artificial intelligence with human expertise to connect you with the best engineering talent from India. With over 1M deeply vetted professionals, Uplers streamlines the hiring process, reducing lengthy screening times and ensuring you find the perfect fit. Companies like GitLab, Twilio, TripAdvisor, and AirBnB trust Uplers to scale their tech and digital teams effectively and cost-efficiently. Experience a simpler, faster, and more reliable hiring process with Uplers today.

contract 1 yearlocation ETV ( Flipkart ) Bangalore,Karnataka Job Code Mandatory SkillsMachine Learning, Statistical Modeling, Predictive Modeling, data analysis, Data Analytics, Predictive Analytics, Advanced Analytics, data mining, Python, Regression Testing Key Responsibilities Collect, clean, and explore large datasets to uncover trends and patterns. Design, develop, and deploy predictive models (e.g., regression, classification, timeseries, clustering) using machine learning and statistical techniques. Conduct advanced statistical modeling: regression, ANOVA, factor analysis, PCA, etc. Perform data analysis, feature engineering, and preprocessing to optimize model accuracy and reliability. Evaluate and refine models continually; monitor performance and recalibrate to account for data drift. Visualize data and present findings through clear dashboards and reports, using tools like Advanced Excel, Tableau, or Power BI Collaborate with cross-functional teams (e.g., business, engineering, data engineering) to integrate predictive analytics into operations. Communicate complex results to stakeholders with clarity and influence strategic decisions. Required Qualifications & SkillsEducation & Experience Bachelors degree in Statistics, Mathematics, Computer Science, Data Science, or related quantitative field; Master’s preferred 3+ years in analytics, data science, or similar roles involving predictive modeling and data analysis. Technical & Analytical Skills Machine Learning & Statistical Modeling : deep expertise in regression (linear, logistic), clustering, decision trees, random forests, time-series forecasting, SVMs, ensemble methods, and neural networks. Programming & Tools : Proficiency in Python or R; strong command of SQL for data extraction; advanced Excel (pivot tables, VBA); familiarity with ML frameworks (Scikit-Learn, TensorFlow, PyTorch). Data Manipulation & Feature Engineering : experience cleaning, wrangling, and transforming data; feature selection and dimensionality reduction (PCA, LDA). Predictive Analytics Tools : Comfortable with BI platforms (Tableau, PowerBI) and predictive environments (Azure ML, SAP, IBM SPSS, SAS). Bangalore,Karnat aka ion : Skilled in model validation, metrics (accuracy, precision, recall), A/B testing.