Your Role Understand client business requirement and provide suitable approach to solve the business problem. Identify and address client needs in different domains. Processing, cleansing and verifying the integrity of data used for analysis. Data mining and performing EDAs using state-of-the-art methods. Selecting features, building and optimizing classifiers / regressors, etc. using machine learning & deep learning techniques. Help enhance data collection procedures to include information that is relevant for building analytical systems Doing ad-hoc analysis and presenting results in a clear manner. Follow and help improve with Analytics-Delivery procedures using detailed documentations. Your Profile Good problem solver with a skill of solving business problem with analytics and data as primary means. Experience in delivering data & analytics solution in one/two of the following areas preferably Excellent coding experience in common data science language & tools such as R, Python, Go, SAS, Matlab etc. Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch etc. Hands on experience in using query languages such as SQL, NoSQL etc Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised and unsupervised problems (such as k-NN, Regression, Naive Bayes, SVM, Decision Tree, Random Forests, k-means, PCA, SVD, GenAI (LLM) etc.). Good applied statistics skills, such as distributions, statistical inference & testing, etc. Good knowledge/ Experience of cloud platform e.g. AWS, Azure, GCP etc What youll love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Work in an IC role ensuring adherence to best practices in BI development and data visualization. Collaborate with stakeholders to define business requirements and design impactful dashboards using Power BI. Use Python to automate data extraction and transformation. Oversee ETL processes and integrate data from various sources into Power BI. Enhance Power BI reports with Python scripts for advanced analytics and custom calculations. Ensure strong data governance, quality, and user-friendly visualization practices. Communicate complex data concepts clearly to both technical and non-technical teams. Good documentation skills to deliver BRDs, specifications document etc. Your Profile 4+ years of experience in DWH/BI domain with a focus on Power BI development. Proficiency in at least two BI toolsQlik, Power BI, Tableau. Showcase experience in 2-3 complete life cycle implementation of BI projects. Willingness and readiness to cross-skill in multiple BI tools and platforms. Experience with Power Platform (Power Apps, Power Automate), including building apps and automating workflows. Advanced SQL skills for querying and manipulating data from relational databases. Basic Python skills for ETL automation, with experience in Pandas, NumPy, and python What youll love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

JD -7+ years of hands on experience in Python especially dealing with Pandas and Numpy Good hands-on experience in Spark PySpark and Spark SQL Hands on experience in Databricks Unity Catalog Delta Lake Lake house Platform Medallion Architecture Azure Data Factory ADLS Experience in dealing with Parquet and JSON file format Knowledge in Snowflake.

Senior Analyst - Data Science: Job Description: We are looking for a talented and experienced Senior Data Scientist with a minimum of 4 years of professional experience in model development and expertise in Gen AI projects. As a Senior Data Scientist, you will be responsible for developing advanced machine learning models, conducting exploratory data analysis (EDA), performing feature selection/reduction, and utilizing cutting-edge technologies to deliver high-quality solutions. The ideal candidate should possess strong programming proficiency in Python and experience with cloud platforms like GCP or equivalent, as well as visualization tools like Qliksense, Power BI, Looker Studio, or Tableau. Job Responsibility: Data Scientists 4+ Year (Mandatory Skills) Model development (regression and classification), should have strong experience in performing EDA, Feature selection/Feature Reduction, building models and evaluate its performance Should have worked on Gen AI project Strong programming proficiency in python with mastery of data science libraries Pandas, numpy and scikitlearn GCP (BQ, Vertex AI) or other equivalent cloud Visualization (Qliksense / Looker Studio / Power BI / Tableau) Skills : GenAI Model development (regression and classification) EDA Python GCP / other equivalent cloud Visualization Data Scientist We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Python (Programming Language) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : Minimum 15 years of fulltime education Key Responsibilities:1.Design, develop, and maintain Python applications, scripts, and tools to support various business requirements.2.Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions.3.Write efficient, reusable, and scalable code following best practices and coding standards.Technical Skills:1.Proficiency in Python programming language, including knowledge of core libraries and frameworks.2.Experience with web development frameworks such as Django or Flask for building web applications.3.Familiarity with data science and machine learning libraries such as NumPy, pandas, scikit-learn, or TensorFlow.Professional Skills:1.Strong problem-solving skills and attention to detail.2.Excellent communication and collaboration skills, with the ability to work effectively in a team environment.3.Ability to manage workload and deadlines effectively.Educational Qualifications:1.Bachelor's degree in Computer Science, Engineering, or related field.2.Certification in Python programming or relevant technologies.3.Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Qualifications Minimum 15 years of fulltime education

Company Description: PubMatic (Nasdaq: PUBM) is an independent technology company maximizing customer value by delivering the digital advertising supply chain of the future. PubMatics sell-side platform empowers the worlds leading digital content creators across the open internet to control access to their inventory and increase monetization by enabling marketers to drive return on investment and reach addressable audiences across ad formats and devices. Since 2006, our infrastructure-driven approach has allowed for the efficient processing and utilization of data in real time. By delivering scalable and flexible programmatic innovation, we improve outcomes for our customers while championing a vibrant and transparent digital advertising supply chain. Job Description We are immediately hiring a results-oriented Principal Machine Learning Engineer, Performance DSP, to join our growing team in Pune on a hybrid schedule. Reporting to the Director of Machine Learning, you will partner with Product and Engineering teams to both solve problems and identify new opportunities for the business. The ideal candidate will apply quantitative analysis, modeling, and data mining to help drive informed product decisions for PubMatic + get things done. Role and Responsibilities: Assess our existing products to identify inefficiencies across platforms for Performance DSP. Work closely with product, CTO, and engineering teams to align technical solutions for Performance DSP goals. Architect and develop solutions to bridge gaps in technology and execution. Collaborate with product, engineering, and leadership teams to align on DSP strategy. Improve attribution tracking, user value modeling, and ML-driven performance enhancements. Key Experience and Skills: Extensive knowledge of Performance DSP, including programmatic advertising workflows, RTB, audience targeting, and bid strategies. Strong expertise in Machine Learning and Ad-Server/Bidder architecture. Deep understanding of mobile advertising ecosystems, advertising SDKs, and optimization strategies. Hands-on experience with mobile advertising, optimization techniques, and advanced ML algorithms. 7 to 12 years of hands-on experience designing Machine Learning models to solve business problems with statistical packages, such as R, MATLAB, Python (NumPy, Scikit-learn + Pandas) or MLlib Deep interest and aptitude in data, metrics, analysis, and trends, and applied knowledge of measurement, statistics, and program evaluation Distinctive problem-solving skills and impeccable business judgment Capable of translating analysis results into business recommendations Return to Office : PubMatic employees throughout the global have returned to our offices via a hybrid work schedule (3 days in office and 2 days working remotely) that is intended to maximize collaboration, innovation, and productivity among teams and across functions. Benefits : Our benefits package includes the best of what leading organizations provide, such as stock options, paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when were back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more! Diversity and Inclusion : PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Title : Senior Analyst / Data Scientist - NLP/Gen AILocation : Chennai, Bangalore, Hyderabad, Delhi/NCR Who we are --Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the Best and Fastest Growing analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine What do we expect? Generative AI & NLP Expertise : Extensive experience in developing and deploying Generative AI applications and NLP frameworks , with hands-on knowledge of LLM fine-tuning , model customization , and AI-powered automation . Hands-On Data Science Experience : 3+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments. AI Innovation : Deep knowledge of the latest developments in Generative AI and NLP , with a passion for experimenting with cutting-edge research and incorporating it into practical solutions. Problem-Solving Mindset : Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems. Communication Skills : Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

Responsibilities: Develop and maintain efficient Python code for data analysis, manipulation, and visualization. Hands on standard data wrangling techniques in python to process and analyse large datasets efficiently. Implement vectorization techniques to optimize code performance and scalability. Design and develop object-oriented Python solutions for complex business problems. Collaborate with cross-functional teams to understand project requirements and deliver high-quality solutions. Write unit tests to ensure code reliability and maintainability. Troubleshoot and debug Python applications to identify and resolve issues promptly.

Product Website: WORK LOCATION Mumbai RESPONSIBILITY: Jigserv Digital is looking for Data Scientist to lead a Data Driven Architectures for both the Jigya Platforms as well as supervising some of our client projects in the space of Data Science and Analytics . As a Data Scientist, you will have the opportunity to setup a robust data and machine learning infrastructure to develop models that impact millions of users and solve challenging business problems. You will work with engineers, and product managers to develop and iterate on models to help us grow our business. The right resource will have the ability to build a world-class applications that are reliable, fast, responsive, and beautiful, delivering a breath-taking product experience to our users Our Data Scientist will have the following attributes: Displays a strong work ethic and sense of urgency. Demonstrates strong initiative to make things happen. Work with Product Management to plan and prioritize releases. Support product management in developing a product roadmap. Run an effective Scrum process by facilitate Iteration Planning Meetings, Retrospectives and Daily Stand-ups Figuring out the application infrastructure to support App Intelligence and Recommendations Engine. Example Projects Showing the most relevant content in the users Feed based on his Interest, Location, Past behaviour with content and various other parameters. Identifying Trending Insights, Courses, Jobs, Events etc. Qualification / EXPERIENCE 2+ years of industry experience developing Machine Learning Models with business impact more experience preferred. B.Tech, B.E, B.S., M.S., or PhD. in Statistics, Computer Science, Math, Physics, Economics, or other quantitative field Deep understanding of AI / Statistics / Machine Learning, particularly Recommendation Systems, Search and Deep Learning techniques Demonstrated programming abilities in Python and Numpy / Pandas Experience productionizing Machine Learning models, in the cloud (GCP or AWS preferred)

The impact you will have in this role: We are seeking a talented and expert Data Scientist to join our team. The ideal candidate will have expertise in Python, AI/ML, Power BI, Power Apps, Power Automate, Snowflake, Oracle, SQL, and SharePoint (knowledge is a plus), with a strong background in data analysis, machine learning, and visualization. What You'll Do: Develop and deploy machine learning models to tackle complex business problems and drive decision-making. This includes tasks such as data preprocessing, feature engineering, model training, and evaluation, using techniques such as regression, classification, clustering, and deep learning. Design and implement data pipelines for data extraction, transformation, and loading using Python, Snowflake, and Oracle. This involves understanding and working with various data sources and formats, ensuring data quality and integrity throughout the process. Build and maintain interactive dashboards and reports in Power BI to visualize key metrics and trends. This includes designing visually appealing and informative visualizations for collaborators, utilizing advanced DAX calculations and custom visuals, and optimizing report performance. Apply Power BI's advanced features such as Power Query, Power Pivot, and Power View to handle large datasets efficiently and create dynamic and interactive reports. Build and optimize Power Apps solutions to automate business processes and enhance productivity. This involves understanding user requirements and designing user-friendly interfaces, using Power Apps' capabilities to streamline workflows and improve efficiency. Develop and deploy workflows and business process automations using Power Automate. This includes automating repetitive tasks, integrating systems, and orchestrating complex workflows to improve operational efficiency and reduce manual effort. Collaborate with cross-functional teams to see opportunities for leveraging data and analytics to drive business value. This involves understanding business requirements, conducting data analysis, and translating insights into actionable recommendations and solutions. Provide technical leadership and mentorship to junior team members. This includes sharing standard processes, providing guidance on technical issues, and fostering a culture of continuous learning and innovation. Education : Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field. Talents needed for Success: 7+ years of experience in data science, analytics, or related roles, with a focus on machine learning and data-driven decision-making. Proven experience in Python programming and machine learning techniques, with a deep understanding of algorithms and data structures. Experience with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch is highly preferred. Strong understanding of different machine learning algorithms and their applications, including supervised learning, unsupervised learning, and reinforcement learning. Expertise in data visualization and dashboard development using Power BI. Experience with other visualization tools such as Tableau or Qlik is a plus. Proficient in creating complex calculations, measures, and KPIs in Power BI to derive actionable insights from data. Strong proficiency in Power Apps development, including canvas apps, model-driven apps, and custom connectors. Experience in building and deploying workflows and automations using Power Automate. Hands-on experience with Snowflake and Oracle database technologies. Advanced skills in SQL programming, with experience in writing complex queries and stored procedures. Excellent analytical and problem-solving abilities, with a keen attention to detail and a passion for data-driven decision-making. Effective communication skills and ability to collaborate with cross-functional teams, translating technical concepts into business insights and recommendations. SharePoint knowledge is a plus. Nice to have skills: Communicates openly keeping everyone across the organization advised. Strong communicator who is a self-starter and highly motivated individual

About The Role : Role Purpose The purpose of the role is to liaison and bridging the gap between customer and Wipro delivery team to comprehend and analyze customer requirements and articulating aptly to delivery teams thereby, ensuring right solutioning to the customer. Job Role & Responsibilities: As a Sr. Analytics consultant the individual contributor will be responsible for the performance of the overall Operations Quality, speech analytics category design and leveraging AI/ML solution to identify conversational AI use cases and optimize contact center interactions across channels and improve end user experience & advocacy of enterprise Clients. 60% - QA Automation, creating syntax, fine tuning syntaxes, building categories, building score cards, category validation, etc. 20% - Analyzing trends for process improvement, documentation, Coordinate with business stakeholders to understand functional objectives and identify areas of opportunity, etc. 20% - Creating WBR / MBR slides, Training, collaborating with cross function teams & Attending Client Calls, etc. Ability to understand the organizations business objectives and goals, analyze recorded audio and audio-based data sets for critical insights, provide ongoing speech category design, determine opportunities through analysis of current or future trends, collaborating and synthesizing analyses for the execution of scorecards. Structures an analytical approach to finding and solving core business problems seeking to advance the current efforts or processes. Clearly articulates thoughts and ideas in oral and written presentations. Contributes creative ideas to conduct thorough analysis to estimate risk/reward, assists other users with data analysis as needed and work cross-functionally with various groups internally and externally. Own the end-to-end process, from recognizing the problem to implementing the solution. Skills and Qualifications: 10+ years of relevant analytics experience. Graduates in any stream. Analytical or quantitative field preferred. Skills with Verint, CallMiner, Nexidia, NICE, Uniphore, Calabrio or other speech analytics package preferred. Skills on extrapolating data, developing queries, ensuring standardization of external files, leading projects that relate directly to the speech analytic platform, and make recommendations based on understanding of speech analytics, file structures, IT tools, and statistics to assess opportunities effectively. Ability to multi-task, responds well to pressure and deadlines, and work well individually and in a team environment, e xperience with text mining, parsing, and classification using state-of-the-art techniques. Experience with information retrieval, Natural Language Processing, Natural Language Understanding and Neural Language Modeling (BERT, LSTM, Transformers, LLM etc.). Hands on Python data science ecosystem:Pandas, NumPy, SciPy, Scikit-learn, NLTK, Genism, etc. Ability to evaluate quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform. Good experience with deep understanding in both traditional and modern data architecture and processing concepts, including relational databases (e.g., SQL Server, MySQL, Oracle), Data warehousing, big data (Hadoop, Spark, Storm), NoSQL, data ingestion (Batch and real time processing) and creating data pipeline etc. Hands on BI tools such as Tableau, Power BI, PPT for client demo and presentations Competencies Client CentricityPassion for ResultsCollaborative WorkingProblem Solving & Decision MakingEffective communication

No. of Positions - 2 Office Location - Bangalore & Chennai. Your work location - Permanent work from home. T.E. -4 to 10 yrs Position: Data Scientist / Architect for experienced candidates. Location: Offshore NP - Immediate to 7 days from the date of the offer Mode - Direct Payroll. Your Vertical in Kumaran - Banking Vertical - Investment banking. Shift timing - 10.30 am to 7 pm. Weekend - Sat and Sun. Interview mode - online - VC via MS Teams. Duration of interviews - 30 mins. No. of interviews - 2 - L1, L2 from India. Roles and Responsibilities: Strong in Python programming with excellent in Data Structure, Algorithms, REST, FastAPI, Flask, and RDBMS. With an excellent understanding of ML / DL / ANN concepts Good experience in programming with ML libraries Scikit-learn, Keras and/or PyTorch with a good understanding of ML / DL / ANN concepts . Working experience in GenAI technologies, particularly LLM experience like GPT / Llama2 / Gemini / Hugging Face etc., Working experience in Prompt Engineering, Model training, Lang Chain, Semantic Kernel, Speech, and Text. Good experience in Flask, Rest API, Django, and Fast API will be an added advantage. Good understanding of Distributed computing, microservices, Docker etc. Cloud experience preferably in Azure services Resumes are to be shared with devika.raju@kumaran.com or WhatsApp 8122770798

This role includes the following responsibilities and requirements: Architecture, design, development, debugging, documentation, and operation of large-scale systems designed for machine learning This includes distributed systems for data management and computation as well as web-oriented APIs and user interfaces Take pride and ownership in delivering delightful user experiences Lead other engineers and demonstrate best practices for software engineering Support and mentor junior engineers

Good knowledge of Technical Skills for the following: 1. Java, 2. Python, 3. SQL, 4. Apache Spark, 5. Pandas, 6. OpenAI, 7. Azure Services and 8. Git.

Skills: . Python, TensorFlow, PyTorch, Natural Language Processing (NLP), Computer Vision, AWS SageMaker, Machine Learning Model Deployment, Scikit-learn,. About The Role Sr. AI/ML Developer. Experience8-10 Years. LocationThane / Vikhroli, Mumbai. About The Role. We are seeking an experienced AI/ML Developer with 8-10 years of hands-on experience in building and deploying machine learning models at scale. The ideal candidate will have a strong background in Python, PySpark, Hadoop, and Hive, along with a deep understanding of machine learning model building, analysis, and optimization. As part of our innovative AI/ML team, you will contribute to cutting-edge projects and collaborate with cross-functional teams to deliver impactful solutions. Key Responsibilities. Model DevelopmentDesign, build, and deploy machine learning models, utilizing advanced techniques to ensure optimal performance. Data ProcessingWork with large-scale data processing frameworks such as PySpark and Hadoop to efficiently handle big data. Model Analysis and OptimizationAnalyze model performance and fine-tune models to improve accuracy, scalability, and speed. CollaborationWork closely with data scientists, analysts, and engineers to understand business requirements and integrate AI/ML solutions. Version ControlUtilize Git for version control to ensure proper management and documentation of model code and workflows. Project ManagementParticipate in sprint planning, track progress, and report on key milestones using JIRA. Notebook WorkflowsUse Jupyter/Notebook for interactive development and presentation of model outputs, insights, and results. TensorFlowImplement and deploy deep learning models using TensorFlow, optimizing them for real-world applications. Key Skills. ProgrammingStrong proficiency in Python, with experience in data manipulation and libraries like NumPy, Pandas, and SciPy. Big Data TechnologiesHands-on experience with PySpark, Hadoop, and Hive for managing large datasets. Model DevelopmentExpertise in machine learning model building, training, validation, and deployment using frameworks like TensorFlow, Scikit-learn, etc. Deep LearningFamiliarity with TensorFlow for building and optimizing deep learning models. Version Control and CollaborationProficiency in Git for source control and JIRA for project tracking. Problem-SolvingStrong analytical skills to troubleshoot, debug, and optimize models and workflows. Experience And Qualifications. Experience8-10 years in AI/ML development with significant exposure to machine learning and deep learning techniques. EducationBachelor's or Master's degree in Computer Science, Data Science, or a related field. KnowledgeDeep understanding of AI/ML algorithms, model evaluation techniques, and data manipulation. Preferred Qualifications. Hands-on experience with cloud platforms like AWS, GCP, or Azure. Familiarity with containerization tools like Docker and Kubernetes. Experience in deploying models into production environments

Skills: . Python, TensorFlow, PyTorch, Natural Language Processing (NLP), Computer Vision, AWS SageMaker, Machine Learning Model Deployment, Scikit-learn,. About The Role Sr. AI/ML Developer. Experience8-10 Years. LocationThane / Vikhroli, Mumbai. About The Role. We are seeking an experienced AI/ML Developer with 8-10 years of hands-on experience in building and deploying machine learning models at scale. The ideal candidate will have a strong background in Python, PySpark, Hadoop, and Hive, along with a deep understanding of machine learning model building, analysis, and optimization. As part of our innovative AI/ML team, you will contribute to cutting-edge projects and collaborate with cross-functional teams to deliver impactful solutions. Key Responsibilities. Model DevelopmentDesign, build, and deploy machine learning models, utilizing advanced techniques to ensure optimal performance. Data ProcessingWork with large-scale data processing frameworks such as PySpark and Hadoop to efficiently handle big data. Model Analysis and OptimizationAnalyze model performance and fine-tune models to improve accuracy, scalability, and speed. CollaborationWork closely with data scientists, analysts, and engineers to understand business requirements and integrate AI/ML solutions. Version ControlUtilize Git for version control to ensure proper management and documentation of model code and workflows. Project ManagementParticipate in sprint planning, track progress, and report on key milestones using JIRA. Notebook WorkflowsUse Jupyter/Notebook for interactive development and presentation of model outputs, insights, and results. TensorFlowImplement and deploy deep learning models using TensorFlow, optimizing them for real-world applications. Key Skills. ProgrammingStrong proficiency in Python, with experience in data manipulation and libraries like NumPy, Pandas, and SciPy. Big Data TechnologiesHands-on experience with PySpark, Hadoop, and Hive for managing large datasets. Model DevelopmentExpertise in machine learning model building, training, validation, and deployment using frameworks like TensorFlow, Scikit-learn, etc. Deep LearningFamiliarity with TensorFlow for building and optimizing deep learning models. Version Control and CollaborationProficiency in Git for source control and JIRA for project tracking. Problem-SolvingStrong analytical skills to troubleshoot, debug, and optimize models and workflows. Experience And Qualifications. Experience8-10 years in AI/ML development with significant exposure to machine learning and deep learning techniques. EducationBachelor's or Master's degree in Computer Science, Data Science, or a related field. KnowledgeDeep understanding of AI/ML algorithms, model evaluation techniques, and data manipulation. Preferred Qualifications. Hands-on experience with cloud platforms like AWS, GCP, or Azure. Familiarity with containerization tools like Docker and Kubernetes. Experience in deploying models into production environments

Job role Python Developer. Location Noida. Work Experience 2+ Years (Fresher & lesser experience don't apply). Employment type Full-time. Immediate joiners only. Desired Candidate Profile. Should have good knowledge of Python. Must have knowledge of SQL, No SQL, Numpy & pandas. Coordinating with development teams to determine application requirements. Writing scalable code using Python programming language. Testing and debugging applications. Coordinating with front-end developers. Good knowledge of writing maintainable Python code. Good knowledge of web applications, relational databases. Good Experience in Django & Flask. Thorough understanding of OOPs. A keen eye for clean/minimal code and well thought out software architecture. Ability to move fast, communicate clearly, and operate independently. Good communication and documentation skills. Qualifications. UG :. B-tech (Any specialization), BCA. (ref:hirist.tech). Show more Show less

Description Skills Required Strong experience working in Cloud-based Engineering teams preferably using AWS. Solid understanding of dimensional modelling. Thorough understanding of Python and SQL for data exploration and transformation ideally within Spark environments (Pyspark SparkSQL) such as within Glue jobs. Strong written and oral communication skills and presentation skills with the ability to translate business needs to system and software/data requirements. Strong analysis and analytical skills with attention to detail within complex systems and datasets particularly on relationships between them. Solid understanding of version control systems specifically Git. Named Job Posting? (if Yes - needs to be approved by SCSC) Additional Details Global Grade B Level To Be Defined Named Job Posting? (if Yes - needs to be approved by SCSC) No Remote work possibility No Global Role Family 60236 (P) Software Engineering Local Role Name 6504 Developer / Software Engineer Local Skills 45331 AWS Cloud Formation Languages RequiredEnglish Role Rarity To Be Defined

Job Title: Senior Python Developer (Cloud Platforms) Job Description: We are seeking a seasoned Senior Python Developer with a strong background in cloud services (AWS, Azure, GCP) to join our dynamic team. The ideal candidate will possess a deep understanding of Python programming and significant experience working with major cloud platforms. This role involves developing high-quality, scalable, and innovative applications while collaborating with cross-functional teams to drive forward our technology initiatives. Key Responsibilities: - Design, develop, and maintain robust Python applications with a focus on cloud integration and scalability. - Implement and manage cloud-based solutions across AWS, Azure, and GCP, ensuring optimal performance and security. - Collaborate with development teams to define architecture, best practices, and strategies for cloud deployment and management. - Lead the integration of cloud services into existing systems, facilitating seamless data exchange and enhancing functionality. - Monitor, troubleshoot, and optimize applications for improved performance and reduced costs. - Keep abreast of new cloud technologies and Python development tools, advocating for their adoption where beneficial. - Mentor junior developers, fostering a culture of technical excellence and continuous learning. Requirements: - Bachelors degree in Computer Science, Engineering, or a related field. - At least 4 years of professional experience in Python development, with a proven track record of successful projects. - Strong expertise in cloud services (AWS, Azure, and/or GCP), including experience with cloud storage, compute services, and cloud security best practices. - Proficient in developing and deploying containerized applications using Docker, Kubernetes, or similar technologies. - Familiarity with CI/CD pipelines, automated testing, and deployment strategies. - Experience with RESTful API development and integration. - Solid understanding of databases (SQL and NoSQL) and data modeling principles. - Excellent problem-solving skills and the ability to think analytically. - Strong communication and collaboration skills, with the ability to work effectively in a team environment. - Agile/Scrum development methodology experience is preferred. Additional Skills (Nice to Have): - Certifications in AWS, Azure, or GCP. - Experience with serverless architectures. - Knowledge of web development frameworks (e.g., Django, Flask). What We Offer: - Competitive salary and benefits package. - Opportunities for professional growth and advancement. - A collaborative, inclusive, and dynamic work environment. - Access to the latest tools and technologies. - Flexible working arrangements to support work-life balance. How to Apply: Please submit your resume, a cover letter highlighting your relevant experience, and any portfolio or GitHub links showcasing your work. We look forward to reviewing your application and potentially welcoming you to our team!

Description Minimum 7 years of experience in Data Governance Data Management or related roles. Design develop and implement application integrations using Informatica IDMC using Python. At least 5 years of hands-on experience with Informatica Data Governance (DG) Informatica Data Quality (IDQ) and other relevant Informatica products (e.g. Informatica Data Lineage IDQ etc). Proficiency with Informatica Data Governance tools (e.g. IDMC Informatica EDC). Familiarity with data management concepts such as data lineage metadata management and data cataloguing. Strong Python programming skills including experience with libraries like pandas numpy and matplotlib for data analysis and visualization. Experience working with relational databases (e.g. SQL Server Oracle MySQL) and writing SQL queries. Named Job Posting? (if Yes - needs to be approved by SCSC) Additional Details Global Grade C Level To Be Defined Named Job Posting? (if Yes - needs to be approved by SCSC) No Remote work possibility Yes Global Role Family 60242 (P) Data Management Local Role Name 6506 Data Scientist Local Skills 6101 Informatica Data Quality (IDQ) Languages RequiredEnglish Role Rarity To Be Defined

Role & responsibilities Experience in Risk Assessment, Risk Management, and Regulatory Compliance. Overseeing risk assessment processes. Developing and implementing risk management strategies. Monitoring and analyzing risk factors. Ensuring compliance with regulatory requirements. Collaborating with cross-functional teams to implement risk mitigation measures. Optimizing risk-adjusted returns. Additionally, the role will involve: Using basic Python programming for data analysis, automating routine risk assessment tasks, and generating insightful reports. Working with basic Python libraries, such as: Pandas: For data manipulation and analysis. NumPy: For numerical computations. Matplotlib and Seaborn: For data visualization and trend analysis. Scikit-learn: For basic predictive modelling and risk analytics.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :Noida/Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Project Role: Product Support Tech Advisor Experience: 4-8 Years Job Location: Bangalore (Hybrid) Skills: Python, SQL, NumPy, Panda, Django Roles and Responsibilities Team is involved in assessing & resolving issues/query raised (on Service-Now VIA platform) by product users and proactively work with product team (includes Product manager and development team) for timely resolution. Analyzing and identifying technical issues (both frontend & backend) reported by users and providing solution to the same, either through direct assistance or by guiding users through troubleshooting steps Team is also responsible for developing and maintaining a comprehensive knowledge base of FAQs and troubleshooting guides. Keeping documentation up-to-date based on new product releases, features etc Providing training sessions to help users understand and use the product effectively. Keeping users informed about knows issues, product updates and resolutions. Tracking Key performance indicators (KPIs) by publishing various product dashboards. Collaborating with Product users, dev teams, and other up/down stream applications for a unified customer experience. Regular connects with product managers/teams for effective resolution of users issues/queries. Empowering development team to focus & build new features. Drive continuous improvement & provide key health indicators for the products. Ensuring smooth product operations. Technical Experience: Minimum of 4 to 7 years of experience working in supporting complex production systems. Proficient in Python scripting. Proficient in SQL programming. Basic knowledge/Interested to learn technologies like HTML, CSS, and JavaScript (Frontend related) Added advantage of having some knowledge in big data tech stack viz Hive, Impala, Sqoop, Oozie, HDFS, Hive, Kafka, etc. Involved in RCA (Root Cause Analysis) using application and system error logs. Good communication and presentation skills - constant communication, regular update, and follow[1]ups with various stake holders. Openness to share knowledge & learn together. Interested to learn new technology. Good understanding of production support process. Ability to listen to team members and communicate instructions effectively. Quick learner, self-motivated, should have ability to lead and direct team members. Should have ability to take proactive steps in managing problems. Added advantage of having some fundamental knowledge in Machine Learning. Qualifications: • Bachelor's Degree Computer Science, a related field or equivalent experience Req

Hi I am hiring for IT Consulting Organisation Located at Baner - Pune. EXPERIENCE - 6YRS - 8YRS WORK FROM OFFICE - 5DAYS 2ND ROUND OF INTERVIEW IS INPERSON MANDATORY SHARE YOUR PROFILE - meeinal06@gmail.com / connect at 8123096972 Technical Skills: Proficient in Python and Pandas for data manipulation . Experience with Langchain or similar AI frameworks. Basic understanding of machine learning concepts and model implementation. Skills in prompt engineering for optimizing AI model interactions. Experience with Retrieval-Augmented Generation (RAG) and vector search technologies. Knowledge of deploying and managing LLMs and AI agents. Basic understanding of databases (SQL/NoSQL) and database management. Familiarity with cloud platforms (AWS, Azure, Google Cloud) is a plus. Full-Stack Development: Ability to work on both backend and frontend aspects is a plus. Frontend Development: Proficiency in frontend technologies (e.g., React, Vue.js) is highly desirable. Experience in product engineering, data engineering, or a similar role with a focus on AI technologies. Comprehensive understanding of the product lifecycle from design to deployment. Ability to manage product costs and resource allocation efficiently. Integration Skills: Proven ability to integrate new technologies into existing systems seamlessly. Soft Skills: Strong analytical and problem-solving abilities. Keen attention to detail. Excellent verbal and written communication skills. Ability to collaborate effectively within cross-functional teams. Must Haves : Previous involvement in AI product strategy and design Experience with frontend frameworks Strong analytical and problem-solving abilities. Bachelors degree in computer science, Engineering, Data Science, or a related field. Key Responsibilities AI Product Development: Design, develop, and deploy AI-driven applications utilizing Python, Pandas, Langchain (or similar frameworks), and related technologies. Machine Learning: Implement basic machine learning models to enhance product functionalities and performance. Prompt Engineering: Develop and optimize prompts to facilitate effective interactions with AI models. Retrieval-Augmented Generation (RAG) & Vector Search: Develop and integrate RAG and vector search capabilities to improve data retrieval and user interactions. LLM & AI Agent Deployment: Deploy and manage Large Language Models (LLMs) and AI agents, ensuring scalability and performance. System Integration: Integrate new AI systems with existing infrastructure, ensuring compatibility and reliability across platforms. Full-Stack Development (Plus): Assist in both backend and frontend development to ensure cohesive and robust product functionality. Frontend Development (Highly Desirable): Develop intuitive and user-friendly interfaces to enhance the overall user experience. Database Management: Utilize and manage databases effectively to support AI model training and product features. Product Design & Strategy: Collaborate with cross-functional teams to design AI products, focusing on cost-efficiency, deployment strategies, and user experience. Data Handling: Employ Pandas for data manipulation and analysis to support AI initiatives. Documentation & Best Practices: Maintain comprehensive documentation and adhere to software development best practices, including version control and agile methodologies. Continuous Improvement: Stay abreast of the latest advancements in AI and product engineering, proposing enhancements to elevate product offerings.

Purpose As a Staff Data Engineer at LogixHealth, you will work with a globally distributed team of engineers to design and build cutting edge solutions that directly improve the healthcare industry. Youll contribute to our fast-paced, collaborative environment and bring your expertise to continue delivering innovative technology solutions, while mentoring others. Duties and Responsibilities 1. Lead and contribute to the creation of a self-service data platform for reporting and analytics 2. Design and build data solutions using Databricks, SQL, Python, Spark, and Delta Lake in the Azure ecosystem (Blob Storage, Data Factory, Event Hubs) 3. Ensure best practices for ETL / ELT processes (data quality management, data processing, data partitioning, maintainability and reusability) 4. Collaborate with engineers, product, and business leaders to ensure data platform is integrated with other systems and technologies (Tableau, Power BI, APIs, custom applications) 5. Establish CI/CD processes, test frameworks, infrastructure-as-code tools, and monitoring/alerting (Git, Terraform, Azure DevOps / GitHub Actions / Jenkins, Azure Monitor / Datadog) 6. Adhere to the Code of Conduct and be familiar with all compliance policies and procedures stored in LogixGarden relevant to this position Qualifications To perform this job successfully, an individual must be able to perform each duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities perform the duties. Experience 1. Experience with native and third-party Databricks integrations (Delta Live Tables, Auto Loader, Databricks Workflows / Apache Airflow, Unity Catalog) 2. 8+ years data engineering experience 3. 3+ years in a senior, staff or principal engineer role 4. Experience designing scalable data pipelines 5. Experience leading projects within a team and across teams 6 Azure experience preferred 7. Azure Databricks implementation experience preferred 8. Experience designing and implementing data security and governance platform adhering to compliance standards (HIPPA, SOC 2) preferred Specific Job Knowledge, Skill and Ability 1. Strong programming skills in pySpark/Scala 2. Strong Dataframe programming skills, such as Spark, Pandas, NumPy 3. Passion for mentoring and guiding others 4. Strong written and verbal communication skills Expert knowledge in architecting, designing and implementing data solutions to serve the needs of our business processes and software products Ability to keep security, maintainability, and scalability in mind with the solutions built Possess excellent interpersonal communication skills and an aptitude for continued learning