Role & responsibilities Design, build and maintain complex ELT jobs that deliver business value • Translate high-level business requirements into technical specs • Ingest data from disparate sources into the data lake and data warehouse • Cleanse and enrich data and apply adequate data quality controls • Develop re-usable tools to help streamline the delivery of new projects • Collaborate closely with other developers and provide mentorship • Evaluate and recommend tools, technologies, processes and reference architectures • Work in an Agile development environment, attending daily stand-up meetings and delivering incremental improvements Basic Qualifications • Bachelors degree in computer science, engineering or a related field • Data: 5+ years of experience with data analytics and warehousing • SQL: Deep knowledge of SQL and query optimization • ELT: Good understanding of ELT methodologies and tools • Troubleshooting: Experience with troubleshooting and root cause analysis to determine and remediate potential issues • Communication: Excellent communication, problem solving and organizational and analytical skills • Able to work independently and to provide leadership to small teams of developers Preferred Qualifications • Master’s degree in computer science or engineering or a related field • Cloud: Experience working in a cloud environment (e.g. AWS) • Python: Hands on experience developing with Python • Advanced Data Processing: Experience using data processing technologies such as Apache Spark or Kafka • Workflow: Good knowledge of orchestration and scheduling tools (e.g. Apache Airflow) • Reporting: Experience with data reporting (e.g. Microstrategy, Tableau, Looker) and data cataloging tools (e.g. Alation) Preferred candidate profile

Build & deploy real-time ML/AI models, analyze data, prototype features, and integrate AI via OpenAI/Gemini APIs. Req: Python, Java, TF, AWS, NLP, pipelines, comms. Bonus: MLOps, LLMs, certs. Bachelors+ in CS/Data Science preferred. Accessible workspace

Role Proficiency: Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities Outcomes: Interpret the application/feature/component design to develop the same in accordance with specifications. Code debug test document and communicate product/component/feature development stages. Validate results with user representatives; integrates and commissions the overall solution Select appropriate technical options for development such as reusing improving or reconfiguration of existing components or creating own solutions Optimises efficiency cost and quality. Influence and improve customer satisfaction Set FAST goals for self/team; provide feedback to FAST goals of team members Measures of Outcomes: Adherence to engineering process and standards (coding standards) Adherence to project schedule / timelines Number of technical issues uncovered during the execution of the project Number of defects in the code Number of defects post delivery Number of non compliance issues On time completion of mandatory compliance trainings Outputs Expected: Code: Code as per design Follow coding standards templates and checklists Review code - for team and peers Documentation: Create/review templates checklists guidelines standards for design/process/development Create/review deliverable documents. Design documentation r and requirements test cases/results Configure: Define and govern configuration management plan Ensure compliance from the team Test: Review and create unit test cases scenarios and execution Review test plan created by testing team Provide clarifications to the testing team Domain relevance: Advise Software Developers on design and development of features and components with a deep understanding of the business problem being addressed for the client. Learn more about the customer domain identifying opportunities to provide valuable addition to customers Complete relevant domain certifications Manage Project: Manage delivery of modules and/or manage user stories Manage Defects: Perform defect RCA and mitigation Identify defect trends and take proactive measures to improve quality Estimate: Create and provide input for effort estimation for projects Manage knowledge: Consume and contribute to project related documents share point libraries and client universities Review the reusable documents created by the team Release: Execute and monitor release process Design: Contribute to creation of design (HLD LLD SAD)/architecture for Applications/Features/Business Components/Data Models Interface with Customer: Clarify requirements and provide guidance to development team Present design options to customers Conduct product demos Manage Team: Set FAST goals and provide feedback Understand aspirations of team members and provide guidance opportunities etc Ensure team is engaged in project Certifications: Take relevant domain/technology certification Skill Examples: Explain and communicate the design / development to the customer Perform and evaluate test results against product specifications Break down complex problems into logical components Develop user interfaces business software components Use data models Estimate time and effort required for developing / debugging features / components Perform and evaluate test in the customer or target environment Make quick decisions on technical/project related challenges Manage a Team mentor and handle people related issues in team Maintain high motivation levels and positive dynamics in the team. Interface with other teams designers and other parallel practices Set goals for self and team. Provide feedback to team members Create and articulate impactful technical presentations Follow high level of business etiquette in emails and other business communication Drive conference calls with customers addressing customer questions Proactively ask for and offer help Ability to work under pressure determine dependencies risks facilitate planning; handling multiple tasks. Build confidence with customers by meeting the deliverables on time with quality. Estimate time and effort resources required for developing / debugging features / components Make on appropriate utilization of Software / Hardware's. Strong analytical and problem-solving abilities Knowledge Examples: Appropriate software programs / modules Functional and technical designing Programming languages - proficient in multiple skill clusters DBMS Operating Systems and software platforms Software Development Life Cycle Agile - Scrum or Kanban Methods Integrated development environment (IDE) Rapid application development (RAD) Modelling technology and languages Interface definition languages (IDL) Knowledge of customer domain and deep understanding of sub domain where problem is solved Additional Comments: Mandatory Skills, Knowledge, and Experience: - Python Development (6+ years): Strong backend development experience, including RESTful APIs and FastAPI. - Generative AI & OpenAI: Practical experience in working with Gen AI models and integrating OpenAI APIs into real-world applications. - API Development: Proven track record of building and maintaining REST APIs with FastAPI, including authentication, authorization, and rate-limiting. - Data Engineering: Expertise in ETL processes, data transformation, and analysis using Pandas. - LLM Prompt Engineering: Experience in prompt design and optimization for large language models. - Python Data Science Libraries: Proficient in Pandas, NumPy, and other data tools for processing and analysis. - Version Control & CI/CD: Proficient with Git and CI/CD pipelines for automated deployment and testing. - Agile/Scrum: 3+ years of experience working in Agile/Scrum environments. - Testing & Automation: Experience in unit, integration, and automated testing with pytest and unittest. - Communication: Strong verbal and written communication, with the ability to explain technical concepts to diverse stakeholders. - Non-Functional Requirements: Experience with performance optimization, scalability, and security in data-centric applications. Nice to Have Skills: - Cloud Platforms: Familiarity with AWS or GCP, particularly in scalable APIs, serverless architecture, and data storage. - Data Pipelines: Knowledge of Apache Airflow, Kafka, or similar tools for data workflow orchestration. - ML Frameworks: Experience with scikit-learn, TensorFlow, or PyTorch for model training and deployment. - Code Quality Tools: Familiarity with SonarQube, ESLint, or similar tools for maintaining high code quality. Required Skills Python,Generative AI,API,Etl Tools

Responsibilities: - Interpret data, analyze results using statistical techniques, and provide ongoing reports. - Develop and implement reporting infrastructure, interactive dashboards, and other analytical tools to provide insight into the data. - Acquire data from primary or secondary data sources and highlight any issues in the existing databases/data systems. - Identify, analyze, and interpret trends or patterns in complex data sets. - Develop regression and forecasting models using historical data to predict the future performance of the portfolio. - Work with management to prioritize business and information needs. - Locate and define new process improvement opportunities. Requirements : - Bachelor's or Master's degree in statistics/mathematics/engineering. - 2+ years of experience as a Data Analyst or Business Data Analyst. - Technical Expertise in data models, database design, development, data mining, and segmentation techniques. - Strong knowledge of and experience with Excel, SQL, Python, and dashboarding tools such as Metabase, Tableau, etc. - Develop regression and forecasting models using historical data to predict the future performance of the portfolio. - Knowledge of statistics and experience using statistical packages for analyzing and visualizing datasets (Pandas, NumPy, sci-kit-learn, Seaborn). - Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. - Keen interest in solving problems using data and providing a new perspective to stakeholders.

Warm Greetings from Dataceria Software Solutions Pvt Ltd . We are Looking For: Senior Data Scientist -------------------------------------------------------------------------------------------------------------- We are seeking a highly skilled Senior Data Scientist to lead the development of classification models and customer segmentation strategies for a major investment bank. This role is central to profiling the existing client base on legacy infrastructure and supporting business stakeholders in defining clear migration paths to modern platforms such as Data Mesh. Responsibilities: Lead the design and implementation of classification models to categorize clients based on product usage, service engagement, and behavioral patterns. Develop robust customer segmentation strategies to support personalization and migration strategies. Collaborate closely with stakeholders across business and technology to understand legacy data landscapes and future-state architecture. Oversee and mentor a small team of data scientists and analysts. Conduct advanced analysis using Python and SQL; apply machine learning techniques for predictive insights. Translate complex data findings into clear business narratives and actionable outcomes. What we're looking for in our applicants: 8+ years of experience in data science, preferably in financial services or investment banking . Proven expertise in machine learning, particularly classification and clustering models. Advanced proficiency in Python ( Pandas, Scikit-learn, etc.) and SQL. Experience leading technical teams or mentoring junior data professionals. Strong understanding of client lifecycle in financial institutions and regulatory considerations. Familiarity with data migration strategies and legacy modernization projects is a plus. ---------------------------------------------------------------------------------------------------------------------------------------------------- Joining: Immediate Work location: Bangalore (hybrid) , Chennai. Open Positions: Senior Data Scientist If interested, please share your updated resume to carrers@dataceria.com: We welcome applications from skilled candidates who are open to working in a hybrid model. Candidates with less experience but strong technical abilities are also encouraged to apply. ----------------------------------------------------------------------------------------------------- Thanks, Dataceria Software Solutions Pvt Ltd Follow our LinkedIn for more job openings : https://www.linkedin.com/company/dataceria/ Email : careers@dataceria.com ------------------------------------------------------------------------------------------------------

- Collaborate with a dynamic team in a fast-paced environment to develop and maintain Python-based applications. - Write clean, scalable, and well-documented code.- Design and implement software solutions, ensuring high performance and responsiveness.- Optimize code for maximum efficiency and maintainability.- Collaborate with cross-functional teams to define, design, and ship new features.- Contribute to the entire software development lifecycle, from concept to deployment.- Troubleshoot, debug, and address software defects and issues.- Stay updated on industry best practices and emerging technologies.Skills : - Strong proficiency in Python and Pandas- Knowledge of database systems : MySQL, PostgreSQL, MongoDB. - Familiarity with version control systems, particularly Git.- Linux proficiency, with experience in system administration.- Exposure to DevOps practices and tools.- Exposure to cloud services, particularly AWS.

Skills: Python, TensorFlow, PyTorch, Natural Language Processing (NLP), Computer Vision, AWS SageMaker, Machine Learning Model Deployment, Scikit-learn, 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. Show more Show less

Skills: Python, TensorFlow, PyTorch, Natural Language Processing (NLP), Computer Vision, AWS SageMaker, Machine Learning Model Deployment, Scikit-learn, 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. Show more Show less

Job TitleData Scientist (OpenCV) Experience0"“1 Year LocationBangalore Notice PeriodImmediate Joiner Job Summary We are seeking a highly motivated and enthusiastic Data Scientist with a passion for computer vision and hands-on experience in OpenCV This is an excellent opportunity for recent graduates or early-career professionals to contribute to real-world projects involving image processing, computer vision, and machine learning. Key Responsibilities Work on image and video processing projects using OpenCV and Python. Assist in developing computer vision models for object detection, recognition, and tracking. Preprocess and analyze image datasets to extract meaningful insights. Collaborate with senior data scientists and engineers to integrate models into production environments. Conduct experiments and contribute to research-oriented tasks in the field of computer vision. Document processes, models, and results for internal review and external presentation. Required Skills Strong knowledge of OpenCV and image processing techniques. Proficiency in Python and related libraries (e.g., NumPy, Pandas, Matplotlib). Understanding of basic machine learning and deep learning concepts. Familiarity with tools like Jupyter Notebooks, TensorFlow, or PyTorch is a plus. Good problem-solving skills and attention to detail. Excellent communication and teamwork skills. Preferred Qualifications Bachelor's degree in Computer Science, Data Science, Electrical Engineering, or a related field. Internship or academic project experience in computer vision or image processing. Exposure to cloud platforms (AWS, GCP, Azure) is a plus. What We Offer A collaborative and learning-driven environment. Mentorship from experienced professionals. Opportunity to work on innovative projects with real-world impact. Competitive salary and benefits. Show more Show less

Role Data Scientist LocationBangalore TimingsFull Time (As per company timings) Notice Period(Immediate Joiner Only) Experience5 Years We are looking for a highly motivated and skilled Data Scientist to join our growing team The ideal candidate should possess a robust background in data science, machine learning, and statistical analysis, with a passion for uncovering insights from complex datasets This role demands hands-on experience in Python and various ML libraries, strong business acumen, and effective communication skills for translating data insights into strategic decisions. Key Responsibilities Develop, implement, and optimize machine learning models for predictive analytics and business decision-making. Work with both structured and unstructured data to extract valuable insights and patterns. Leverage Python and standard ML libraries (NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, PyTorch, Keras, Matplotlib) for data modeling and analysis. Design and build data pipelines for streamlined data processing and integration. Conduct Exploratory Data Analysis (EDA) to identify trends, anomalies, and business opportunities. Partner with cross-functional teams to embed data-driven strategies into core business operations. Create compelling data stories through visualization techniques to convey findings to non-technical stakeholders. Stay abreast of the latest ML/AI innovations and industry best practices. Required Skills & Qualifications 5 years of proven experience in Data Scientist and machine learning. Proficient in Python and key data science libraries. Experience with ML frameworks such as TensorFlow, Keras, or PyTorch. Strong understanding of SQL and relational databases. Solid grounding in statistical analysis, hypothesis testing, and feature engineering. Familiarity with data visualization tools like Matplotlib, Seaborn, or Plotly. Demonstrated ability to work with large datasets and solve complex analytical problems. Excellent communication and data storytelling skills. Knowledge of Marketing Mix Modeling is a plus. Preferred Skills Hands-on experience with cloud platforms like AWS, Azure, or GCP. Exposure to big data technologies such as Hadoop, Spark, or Databricks. Familiarity with NLP, computer vision, or deep learning. Understanding of A/B testing and experimental design methodologies. Show more Show less

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and experienced AI/ML Engineering Manager and Technical Specialist to lead our team of dedicated professionals. The ideal candidate will have 8-14 years of hands-on experience in artificial intelligence and machine learning, with a proven track record of managing complex projects and driving innovation. This role requires a blend of technical expertise, leadership capabilities, and strategic vision to advance our AI/ML initiatives and deliver impactful solutions. Primary Responsibilities Leadership and Management Lead and mentor a team of AI/ML engineers and data scientists, fostering a collaborative and high-performance work environment Oversee the planning, execution, and delivery of AI/ML projects, ensuring alignment with company goals and timelines Collaborate with cross-functional teams including product managers, software engineers, and business stakeholders to define project requirements and deliverables Conduct regular performance evaluations, provide feedback, and identify opportunities for professional growth and development Technical Expertise Design and implement state-of-the-art AI/ML models and algorithms to solve complex business problems Stay abreast of the latest advancements in AI/ML technologies and best practices, ensuring the team adopts cutting-edge methodologies Lead the development and optimization of data pipelines, ensuring data quality and integrity throughout the AI/ML lifecycle Evaluate and select appropriate tools, frameworks, and platforms to enhance the efficiency and scalability of AI/ML solutions Strategic Vision Develop and execute a comprehensive AI/ML strategy that aligns with the company's long-term objectives and market trends Identify new opportunities for AI/ML applications and drive innovation to maintain a competitive edge Collaborate with senior leadership to secure resources and funding for AI/ML initiatives Represent the company in industry conferences, workshops, and other forums to showcase our AI/ML capabilities and thought leadership Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. A Ph.D. (a plus) 8+ years of experience in AI/ML development, with at least 3 years in a managerial or leadership role Proven experience in designing, developing, and deploying AI/ML models in real-world applications Solid programming skills in languages such as Python, R, or Java, and proficiency with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn Proven excellent problem-solving skills, with the ability to think critically and strategically about AI/ML solutions Proven outstanding communication and interpersonal skills, with the ability to effectively convey technical concepts to non-technical stakeholders Preferred Qualifications Experience with big data technologies such as Hadoop, Spark, or Kafka Familiarity with cloud platforms like AWS, Google Cloud, or Azure, and their AI/ML services Background in natural language processing (NLP), computer vision, or reinforcement learning Demonstrated ability to manage multiple projects and priorities in a fast-paced environment Published research papers or patents in the field of AI/ML

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities AI ImplementationImplement AI solutions to automate tasks, improve customer experiences, and optimize operations Data Analysis and InterpretationAnalyze large datasets to extract meaningful insights and trends using Python and data science techniques Model DevelopmentDevelop, train, and deploy machine learning models to solve business problems and enhance decision-making processes Data Collection and CleaningData Analysts are responsible for gathering data from multiple sources, ensuring its accuracy and completeness. This involves cleaning and preprocessing data to remove inaccuracies, duplicates, and irrelevant information. Proficiency in data manipulation tools such as SQL, Excel, and Python is essential for efficiently handling large data sets Analysis and InterpretationOne of the primary tasks of a Data Analyst is to analyse data to uncover trends, patterns, and correlations. They use statistical techniques and software such as R, SAS, and Tableau to conduct detailed analyses. The ability to interpret results and communicate findings clearly is crucial for guiding business decisions Reporting and VisualizationData Analysts create comprehensive reports and visualizations to present data insights to stakeholders. These visualizations, often created using tools like Power BI and Tableau, make complex data more understandable and actionable. Analysts must be skilled in designing charts, graphs, and dashboards that effectively convey key information Collaboration and CommunicationEffective collaboration with other departments, such as marketing, finance, and IT, is vital for understanding data needs and ensuring that analysis aligns with organizational goals. Data Analysts must communicate their findings clearly and concisely, often translating technical data into understandable insights for non-technical stakeholders Predictive Modelling and ForecastingAdvanced Data Analysts also engage in predictive modelling and forecasting, using machine learning algorithms and statistical methods to predict future trends and outcomes. This requires a solid understanding of data science principles and familiarity with tools like TensorFlow and Scikit-learn Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Undergraduate degree or equivalent experience Python ProficiencySolid knowledge of Python programming, including libraries for data analysis (e.g., Pandas, NumPy) and machine learning (e.g., scikit-learn, TensorFlow, Keras)

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. As a Software Engineer specializing in analytical solutions and automation, you will be instrumental in transforming large datasets into actionable insights that enhance our company's operations. This role requires you to develop innovative software applications that leverage advanced algorithms and techniques to optimize processes and support decision-making. The ideal candidate will have a strong analytical mindset, a solid foundation in mathematics, and a passion for developing scalable software solutions. Primary Responsibilities Review requirements and system analysis documents for completeness, ensuring alignment with best practices in software development Create and contribute to documented designs that adhere to established coding patterns and standards Independently perform coding and unit testing, focusing on data manipulation and process automation while mentoring peer team members as needed Adhere to coding standards and collaborate effectively with quality assurance teams to ensure robust software delivery Extract and preprocess data from various sources, enhancing data collection procedures to ensure comprehensive information for analysis Optimize algorithms and refine features to improve software performance and efficiency in processing information Analyze extensive datasets to identify trends, patterns, and solutions that drive business improvement Develop software solutions that integrate predictive algorithms for enhanced decision support Implement and optimize advanced algorithms to create innovative software functionalities Design and maintain pipelines for seamless deployment and monitoring of software solutions, ensuring scalability and reliability Present findings and insights clearly to both technical and non-technical stakeholders, fostering collaboration across teams Work closely with business units and IT teams to ensure that analytical initiatives align with overall organizational objectives Support the quality assurance team during testing phases through troubleshooting, code deployment, and clarifications related to analytical features Ensure proper version control practices are followed and deliver technical documentation for each project Mentor junior developers on technology and application knowledge as needed to foster skill development within the team Identify opportunities for optimization and improvement in software applications, particularly in data handling and processing Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications B.Tech / MCA / MSc / MTech in Computer Science, Engineering, or a relevant field 2+ years of experience in software engineering with a focus on analytical solutions and automation Experience in using advanced analytical tools and frameworks for transforming data into actionable insights Familiarity with software lifecycle management tools and frameworks that support continuous integration and deployment Familiarity with visualization tools and frameworks that aid in data presentation and reporting Solid understanding of algorithmic techniques and optimization methods Proficiency in Python, R, and SQL, with a strong emphasis on libraries relevant to data manipulation and analysis (e.g., Pandas, NumPy) Proven solid applied statistical skills, including knowledge of core statistical concepts and methods Proven excellent ability to convey complex technical concepts to diverse audiences and facilitate collaboration Proven ability to work in a fast-paced environment, manage multiple tasks simultaneously, and contribute to team success At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Lead and manage a team of data scientists, fostering a collaborative and innovative environment Oversee the design and development of predictive models and machine learning algorithms Collaborate with business stakeholders to understand and define their data needs Translate business problems into data-driven solutions, presenting complex results in a clear and actionable manner Monitor model performance and continuously improve the accuracy of predictions and insights Maintain up-to-date knowledge of the latest data science trends and technologies, implementing new methodologies as appropriate Promote data literacy throughout the organization, educating staff on how to use data to drive decision-making Ensure data integrity and compliance with privacy regulations Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Qualifications Required Qualifications: Bachelor of Engineering or equivalent 10+ years of total experience Coding Python, pandas, numpy Math behind ML and DL algorithms Basics of Statistics ML and DL concepts Preferred Qualification: Exposure GenAI and LLMs At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Role Partner with stakeholders to understand data requirements. Producing and managing the delivery of activity and value analytics to external stakeholders and clients. Team members will typically use business intelligence, data visualization, and query analytic and statistical software to build solutions, perform analysis and interpret data. Primary Job Responsibilities Include Responsible for the management and manipulation of mostly structured data. Delivering Business Intelligence solutions using Agile software development process. Conducting analysis, performing normalization operations and assuring data quality. Utilize Python and its libraries (scikit-learn, Pandas, NumPy, TensorFlow, PyTorch) for data processing and model development. Design, build, and optimize AI models and generative AI applications. Create and fine-tune prompts for generative AI systems, including zero-shot, few-shot, and chain-of-thought approaches. Implement and manage RAG modeling using vector databases (Milvus, Chroma, FAISS). Creating specifications to bring data into a common structure. Creating product specifications and reporting models. Performing data analysis and interpreting data/business insights. Develop and maintain data preparation and validation routines to support data mining. Analytical - Synthesizes complex or diverse information, collects and researches data, uses intuition and experience to complement data, design workflows and procedures. Developing actionable insights and presenting recommendations for use across the internal/external stakeholder and leadership. Establish, refine and integrate development and test environment tools and software as needed. Identify production and non-production application issues. Ability to quickly analyze existing code, identify performance/reliability/scalability issues, propose solutions, and code optimization/updates as required. Provide technical support and consultation for database and infrastructure questions. Skills Required Must have extensive exposure in data analysis and business insights. Experience in database design, programming, testing and implementation using SQL with standard practices and procedures. Experience in writing TSQL statements, stored procedures and views using industry best practices for security and efficiency. On-the job experience working with relational database management systems like Microsoft SQL Server, Oracle etc. Must have extensive hands-on experience in ETL methodologies. Must have experience in building business intelligence solutions preferably using Snowflake. 1-2 years of experience in AI and machine learning . Understanding of LLM, Transformer, AI frameworks and libraries such as Tensorflow, PyTorch or similar Good to have experience in building data pipelines using Azure data integration tools. Experience and understanding on database performance tuning, database Management, requirements analysis, software development fundamentals. Ability to conduct analysis to ensure quality of data at various stages of its evolution. Proficiency in end-to-end analytics. Excellent problem solving, documentation skills, written & verbal communication skills. Excellent data Maintenance, database Security, promoting process improvement skills. Ability to drive for excellence with a strong sense of urgency. Ability to prioritize effectively. Ability to get to the bottom of issues (root-cause). Ability to be a creative problem-solver. Ability to build relationships with peers, team members and business partners. Ability to guide the planning and mitigation of critical tasks and timelines and align them to the over-all strategy. Should be able to work independently with minimum support/mentoring. Willing to learn new technology. Should be open for development and support. Able to write user and technical documentation. Hands on experience in dealing with global customers to gather requirements and translate them into solutions using the necessary skills. Perform proof of concept analyses. Experience in investigating and responding to routine or standard requests. Experience in solving complex problems and developing innovative solutions. General This is a high visibility role requiring high energy due to the constant interaction with the customers. Good to have a candidate with following abilities:- Self-driven, ability to work independently and facilitate change. Ability to work in a fast-paced, technical, cross-functional environment. Ability to work on projects from inception to completion. Excellent critical thinking and analytical skills. Comfortable working in a high-paced/high production area. Desire and ability to learn new skills, systems and processes. Anticipate customer needs and proactively develop solutions to meet them. Qualifications Bachelor’s Degree in MIS, Statistics, Mathematics, Computer Science, Business or a related field. Minimum 3 years hands-on experience in DWBI domain and usage of BI tools. Minimum 3 years hands-on experience in database management. Preferred Experience in the health care industry. priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together We are looking for an Associate Manager Data Analyst in NICE Reporting. He/ She will be working for BI & Claims reporting and will be responsible for PowerBI, dashboard development and help us drive in automation support using Python and Azure. Provide delivery and operational support in BI & Claims reporting. The selected individual He / She will be working on producing reports and developing dashboards in PowerBI for NICE/BI and Claims reporting and on migrating existing Manual reports to PowerBI/ as part of modernization exercise. You will work closely with external and internal stakeholders, development and build data processing solutions, solve problems, and ad hock support resolve issues. Primary Responsibilities Develop end-to-end dashboards by gathering business requirements in an iterative/agile model Collaborate with cross-functional teams and project managers from design to implementation, monitoring, and maintenance Design business analysis and data migration for departmental use Maintain and update dashboards to ensure accuracy Regularly review data reports to identify and resolve errors Analyze and collect data for various business reports and build data models in Azure and pipelines using Azure Data Factory Create insightful business reports and communicate results Coordinate with supervisors/clients and manage daily activities of business support and technical teams Build business intelligence tools, conduct analysis to identify patterns and trends, and ensure data quality using tools like Power BI, Alteryx, Python Analyze large datasets to extract meaningful insights and trends using Python and data science techniques Partner with stakeholders to understand data requirements and develop tools/models such as segmentation, dashboards, data visualizations, decision aids, and business case analysis Analyze and document requirements, evaluate, and build effective solutions Query data sources for analyses, detailed data profiling, and reporting Research complex functional data/analytical issues Perform source system analysis and gap analysis between source and target systems Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s degree or master’s in engineering with experience in Data Visualization, Data engineering and Data Science 8+ years of relevant industry experience (Healthcare preferred) Experience developing Power BI dashboards and transitioning work. Experience in requirements gathering and data warehousing systems analysis. Proficient in designing, developing scalable data pipelines, optimizing data storage solutions, and ensuring data security for cloud applications and services using Azure technologies Proficient in SQL, Power BI, Python and Machine learning Solid understanding of AI, machine learning, and solid knowledge of Python programming, including libraries for data analysis (e.g., Pandas, NumPy) and machine learning (e.g., scikit-learn, TensorFlow, Keras) Solid verbal and written communication skills to effectively collaborate with team members and stakeholders Solid skills in process support, automation, and business insights Ability to organize data, recognize trends, and develop innovative approaches Analytical skills for data-driven report development and excellent critical thinking and attention to detail At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together Primary Responsibilities Collaborate closely with the data science, business, and strategy teams on one or more DS/ML projects throughout the engagement lifecycle, from design to implementation Demonstrate a solid sense of project ownership Ensure timely and effective communication with business partners and leaders Deliver engagements promptly and with high quality, requiring minimal supervision Partner with business teams to operationalize analytics solutions Communicate with business partners on all critical project functions, including data understanding and solution design Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Master’s degree in Computer Science, Engineering, Statistics, or a related field preferred 5+ years of experience working with large-scale data/ML pipelines and their supporting infrastructure Experience with Natural Language Processing (NLP) and Large Language Models (LLMs) Experience deploying ML solutions on cloud platforms, preferably AWS (AWS services such as SageMaker, Bedrock, Glue) Experience building LLM models using the RAG framework and AI Agents, and deploying LLM applications in production Solid background in machine learning and statistics Solid foundation in data structures and algorithms Proficient software engineering skills Proficiency in Python for numerical and statistical programming (experience with Pandas, NumPy, Scikit-learn, PyTorch is essential) Ability to write complex SQL queries Knowledge of A/B test design and analysis Proven track record of leading the deployment and maintenance of models Proven excellent interpersonal and teamwork skills Solid written and verbal communication skills Proven exceptional problem-solving abilities Professional, service-oriented, proactive, and flexible mindset At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibility Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications BE/BTECH with 7+ yrs of hands on experience required with Python and DevOps Hands-on experience with DevOps practices, including CI/CD, version control (e.g., Git), and deployment automation Extensive experience with Python programming, including knowledge of Python frameworks such as Pandas Solid understanding of API design principles and experience in integrating third-party APIs Solid proficiency in SQL and database management systems (DBMS) like MySQL, PostgreSQL, or Oracle Preferred Qualifications Experience with containerization and orchestration tools like Docker and Kubernetes Familiarity with cloud platforms like AWS, Azure, or Google Cloud #Nic

We are seeking an experienced and innovative AI Solution Engineer to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI and Automation solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. In this role, you will be resposible for : Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s or Master's degree in Computer Science, Artificial Intelligence, or a related field. 4+ years of experience in designing and delivering AI solutions, with a focus on foundation models, large language models, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus. Solutioning ExperienceExperience in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions. Business AcumenAbility to understand customer needs and business objectives. Experience in working closely with customers and translating their requirements into effective AI solutions. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients’ business processes and cha Preferred technical and professional experience Experience in full AI project lifecycle, from research and prototyping to deployment in production environments. Familiarity with Agile development methodologies Experience with AI and/or data governance Experience with building business automation or digital labor solutions Experience with building customer care solutions/digital assistants Experience with Red Hat OpenShift Experience with Kubernetes Experience with vector DB’s or open file formats like parquet ,avro or orc

Job Summary Synechron is seeking a detail-oriented and knowledgeable Senior QA Engineer specializing in Quality Assurance (QA) with a solid foundation in Business Analysis within Rates Derivatives. In this role, you will contribute to ensuring the quality and accuracy of derivative products, focusing on derivatives, fixed income products, and market data processes. Your expertise will support the organization’s efforts in maintaining high standards in trading and risk management systems, directly impacting operational efficiency and compliance. Software Requirements Required Skills: Proficiency in MS Excel, including advanced functionalities such as Macros Strong working knowledge of MS SQL Server for data querying and management Competence in Python for automation, scripting, and data analysis Experience with automation testing tools and frameworks Basic understanding of version control tools (e.g., Git) is preferred Preferred Skills: Familiarity with business analysis tools and requirements gathering platforms Exposure to cloud data environments or cloud-based testing tools Overall Responsibilities Analyze and validate derivative trade data related to Rates Business, ensuring accuracy in P&L and risk calculations Develop and execute test cases, scripts, and automation processes to verify system integrity and data consistency Collaborate with Quantitative Analysts and Business Teams to understand trading models, market data, and risk methodologies Assist in analyzing and optimizing P&L and risk computation processes Document testing procedures, results, and process improvements to uphold quality standards Support the identification of system flaws or data discrepancies and recommend corrective actions Participate in requirement review sessions to ensure testing coverage aligns with business needs Technical Skills (By Category) Programming Languages (Essential): Python (required for automation and data analysis) Excel macros (VBA) for automation and data manipulation Databases/Data Management (Essential): MS SQL Server (for data querying, validation, and management) Cloud Technologies: Not essential for this role but familiarity with cloud data environments (Azure, AWS) is a plus Frameworks and Libraries: Use of Python data libraries (e.g., pandas, NumPy) is preferred for automation tasks Development Tools and Methodologies: Version control (Git) is preferred Test automation frameworks and scripting practices to ensure repeatability and accuracy Security Protocols: Not specifically applicable; adherence to data confidentiality and compliance standards is required Experience Requirements Minimum of 6+ years in Quality Assurance, Business Analysis, or related roles within the derivatives or financial markets industry Strong understanding of Rates Derivatives, fixed income products, and associated market data Hands-on experience in P&L and risk measurement calculations Proven history of developing and maintaining automation scripts, particularly in Python and Excel Macros Experience working with SQL databases to extract, analyze, and validate data Industry experience in trading, risk, or quantitative teams preferred Day-to-Day Activities Collaborate with Quantitative Analysts, Business Teams, and Developers to understand trade data and risk models Develop, execute, and maintain automation scripts to streamline testing and validation processes Validate trade data accuracy and integrity across systems, focusing on P&L and risk calculations Perform detailed testing of business workflows, ensuring compliance with requirements and risk standards Analyze market data inputs and trade data discrepancies, reporting findings and potential improvements Prepare documentation of test cases, findings, and process documentation for audit and review purposes Participate in daily stand-ups, requirement discussions, and defect review meetings Provide ongoing feedback for system enhancements and automation opportunities Qualifications Bachelor’s degree in Finance, Economics, Computer Science, Information Technology, or related field; equivalent professional experience acceptable Relevant certifications such as CFA, CQF, or ISTQB are preferred Demonstrated experience in QA, Business Analysis, or related roles within financial derivatives markets Commitment to continuous learning in financial products, quantitative methods, and automation techniques Professional Competencies Strong analytical and critical thinking skills essential for understanding complex financial data and risk metrics Effective communicator capable of articulating technical and business issues clearly Collaborative team player able to work across business, technical, and QA teams Adaptability to evolving technology tools, processes, and regulatory requirements Focused on continuous improvement and process efficiency Good time management skills to prioritize tasks in a fast-paced environment

Apptware is Hiring : Senior Python Developer Experience : 6+ Years Location : Pune (Onsite) Key Responsibilities : - Design, develop, and maintain robust, scalable, and high-performance applications using Python. - Develop RESTful or GraphQL APIs and integrate with third-party services. - Optimize application performance and ensure high availability. - Work with both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases. - Implement efficient data processing pipelines. - Collaborate with frontend developers, DevOps engineers, and product teams. - Write clean, maintainable, and testable code following best practices. - Mentor junior developers and conduct code reviews. - Troubleshoot and resolve software defects and issues. - Stay updated with emerging trends and technologies in Python development. Required Skills & Qualifications : - 5+ years of experience in Python development. - Proficiency in Python frameworks such as Django, Flask, or FastAPI. - Strong knowledge of RESTful APIs and microservices architecture. - Experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases. - Knowledge of asynchronous programming and multi-threading. - Hands-on experience with Docker and cloud platforms (AWS, GCP, Azure). - Understanding of CI/CD pipelines and DevOps practices. - Experience with testing frameworks (PyTest, Unittest) and debugging tools. - Strong understanding of data structures, algorithms, and system design. - Knowledge of message queues (Kafka, RabbitMQ, Celery) is a plus. - Experience with big data technologies (Spark, Dask) is a plus. Good-to-Have : - Experience with Machine Learning and AI-related projects. - Knowledge of Kubernetes and Infrastructure as Code (Terraform, Ansible). - Familiarity with Graph Databases and Knowledge Graphs.

AI/ML Intern / Fresher Internship + Job Opportunity Type: Internship with Pre-placement Offer Opportunity Domain: Enterprise Software Solutions | AI-Powered Applications Role Overview: We are seeking AI/ML Interns or Freshers who are passionate about Artificial Intelligence and Machine Learning, and excited to apply their knowledge to real-world enterprise problems. Youll gain hands-on experience, work on live projects, and have a pathway to a full-time role based on your performance. What Youll Do: Assist in designing and developing machine learning models and AI-based solutions Work on data preprocessing, feature engineering, and model training/evaluation Collaborate with development teams to integrate AI modules into enterprise software Research and experiment with new algorithms and frameworks Help build tools for data visualization, analysis, and insights Skills & Qualifications: Solid understanding of Python and key libraries (NumPy, Pandas, Scikit-learn, etc.) Exposure to Machine Learning and Deep Learning concepts Familiarity with frameworks like TensorFlow, Keras, or PyTorch is a plus Basic understanding of data structures and algorithms Curiosity, problem-solving mindset, and a willingness to learn Eligibility: Final semester students pursuing a degree in Computer Science / Data Science / Engineering OR Recent graduates with a background or strong interest in AI/ML/For Ahmedabad And Vadodra only

Job Summary: We are looking for a highly skilled and experienced AI/ML Developer with 3-4 years of hands-on experience to join our technology team. You will be responsible for designing, developing, and optimizing machine learning models that drive intelligent business solutions. The role involves close collaboration with cross-functional teams to deploy scalable AI systems and stay abreast of evolving trends in artificial intelligence and machine learning. Key Responsibilities: 1. Develop and Implement AI/ML Models Design, build, and implement AI/ML models tailored to solve specific business challenges, including but not limited to natural language processing (NLP), image recognition, recommendation systems, and predictive analytics. 2. Model Optimisation and Evaluation Continuously improve existing models for performance, accuracy, and scalability. 3. Data Preprocessing and Feature Engineering Collect, clean, and preprocess structured and unstructured data from various sources. Engineer relevant features to improve model performance and interpret ability. 4. Collaboration and Communication Collaborate closely with data scientists, back end engineers, product managers, and stakeholders to align model development with business goals. Communicate technical insights clearly to both technical and non-technical stakeholders. 5. Model Deployment and Monitoring Deploy models to production using MLOps practices and tools (e.g., MLflow, Docker, Kubernetes). Monitor live model performance, diagnose issues, and implement improvements as needed. 6. Staying Current with AI/ML Advancements Stay informed of current research, tools, and trends in AI and machine learning. Evaluate and recommend emerging technologies to maintain innovation within the team. 7. Code Reviews and Best Practices Participate in code reviews to ensure code quality, scalability, and adherence to best practices. Promote knowledge sharing and mentoring within the development team. Required Skills and Qualifications: Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field. 3-4 years of experience in machine learning, artificial intelligence, or applied data science roles. Strong programming skills in Python (preferred) and/or R. Proficiency in ML libraries and frameworks , including: scikit-learn, XGBoost, LightGBM, TensorFlow or Keras, PyTorch Skilled in data preprocessing and feature engineering , using; pandas, numpy, sklearn.preprocessing Practical experience in deploying ML models into production environments using REST APIs and containers. Familiarity with version control systems (e.g., Git) and containerization tools (e.g., Docker). Experience working with cloud platforms such as AWS, Google Cloud Platform (GCP), or Azure . Understanding software development methodologies , especially Agile/Scrum. Strong analytical thinking, debugging, and problem-solving skills in real-world AI/ML applications.

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

- Collaborate with a dynamic team in a fast-paced environment to develop and maintain Python-based applications.- Write clean, scalable, and well-documented code.- Design and implement software solutions, ensuring high performance and responsiveness.- Optimize code for maximum efficiency and maintainability.- Collaborate with cross-functional teams to define, design, and ship new features.- Contribute to the entire software development lifecycle, from concept to deployment.- Troubleshoot, debug, and address software defects and issues.- Stay updated on industry best practices and emerging technologies.Skills : - Strong proficiency in Python and Pandas- Knowledge of database systems : MySQL, PostgreSQL, MongoDB.- Familiarity with version control systems, particularly Git.- Linux proficiency, with experience in system administration.- Exposure to DevOps practices and tools.- Exposure to cloud services, particularly AWS