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

Responsibilities : - Gather data from various sources (databases, spreadsheets, APIs, etc. - Identify, clean, and transform data to ensure accuracy, consistency, and integrity. - Develop and maintain data pipelines and processes for efficient data handling. - Conduct exploratory data analysis to identify trends, patterns, correlations, and anomalies. - Apply statistical techniques and data visualization tools to analyze datasets. - Interpret data and provide meaningful insights and recommendations. - Develop and maintain reports, dashboards, and other data visualizations to communicate findings effectively. - Work closely with stakeholders from different departments to understand their data needs and business questions. - Present data findings and insights in a clear and concise manner to both technical and non-technical audiences. - Participate in discussions and contribute to data-driven decision-making processes. - Document data sources, methodologies, and analysis processes. - Utilize data analysis tools and software such as Excel, SQL, and data visualization platforms (i.e. Tableau, Power BI). - Learn and adapt to new data analysis tools and technologies as needed. - May involve basic scripting or programming for data manipulation (i.e. Python). - Identify opportunities to improve data collection, analysis, and reporting processes. - Stay updated on the latest trends and best practices in data analysis. - Contribute to the development of data governance and quality standards. Qualifications : - Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline. - 1-3 years of professional experience in a data analysis role. - Strong understanding of statistical concepts and data analysis techniques. - Proficiency in SQL for querying and manipulating data from databases. - Excellent skills in Microsoft Excel, including advanced formulas and data manipulation techniques. - Experience with at least one data visualization tool such as Tableau, Power BI, or similar. - Ability to interpret data, identify patterns, and draw meaningful conclusions. - Strong analytical and problem-solving skills. - Excellent communication and presentation skills, with the ability to explain technical findings to non-technical audiences. - Strong attention to detail and a commitment to data accuracy. - Ability to work independently and as part of a team. Preferred Skills : - Experience with programming languages such as Python (especially libraries like Pandas, NumPy, Matplotlib, Seaborn). - Familiarity with cloud-based data platforms (i.e., AWS, Azure, GCP). - Experience with data warehousing concepts. - Knowledge of statistical software packages (i.e., R, SPSS). - Experience with different data modeling techniques. - Exposure to machine learning concepts. - Experience working with specific industry data (i.e., marketing, sales, finance)

Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Play a vital role in project design to ensure scalability, reliability, and performance are met Design and develop new features as well as maintain existing features by adding improvements and fixing defects in complex areas (using Java) Design and maintain robust AI/ML pipelines using Python and industry-standard ML frameworks . Collaborate closely with AI researchers and data scientists to implement, test, and deploy machine learning models in production. Leverage prompt engineering techniques and implement LLM optimization strategies to enhance response quality and performance. Assist in troubleshooting complex technical problems in development and production Implement methodologies, processes tools Initiate projects and ideas to improve the teams results On-board and mentor new employees To ensure youre set up for success, you will bring the following skillset experience: Backend Development: FastAPI, RESTful APIs, Python Cloud Infrastructure: AWS, EKS, Docker, Kubernetes AI/ML Frameworks: LangChain, Scikit-learn, Bedrock, Hugging Face (optional to add if applicable) ML Pipelines: Python, Pandas, NumPy, joblib DevOps CI/CD: Git, Terraform (optional), Helm, GitHub Actions LLM Expertise: Prompt engineering, RAG (Retrieval Augmented Generation), vector databases (e.g., FAISS, Pinecone) You have 12+ years of experience in Java Backend development You have experience as a Backend Tech Lead You have experience in Spring, Swagger, REST API You worked with Spring Boot, Docker, Kubernetes You are a self-learner whos passionate about problem solving and technology You are a team player with good communication skills in English (verbal and written) Whilst these are nice to have, our team can help you develop in the following skills: Public Cloud (AWS, Azure, GCP) Python, Node.js, C/C++ Automation Frameworks such as Robot Framework

Job Summary We are seeking an AI Leader for building Guardrail Platform to drive the design, deployment, and governance of AI guardrails that ensure ethical, responsible, and compliant AI operations . This role involves collaborating with cross-functional teams to implement AI fairness, explainability, bias mitigation, security, and regulatory compliance frameworks across AI/ML pipelines. Roles & Responsibilities AI Guardrail Strategy & Implementation Define and implement AI guardrails to ensure ethical AI development, risk mitigation, and compliance. Establish automated monitoring for AI fairness, bias detection, and explainability. Lead the operationalization of Responsible AI (RAI) principles across the organization. AI Risk & Compliance Management Align AI models with regulatory standards (e.g., GDPR, AI Act, CCPA, NIST AI RMF). Develop governance frameworks for model validation, auditing, and risk assessment . Collaborate with legal, compliance, and security teams to ensure AI transparency. AI Model Security & Reliability Implement guardrails against adversarial attacks, data poisoning, and model drift . Establish secure AI deployment standards to prevent unauthorized AI model access or misuse. Establish DevSecOps pipeline teams to integrate AI security best practices . Operationalization & AI Governance Define AI monitoring KPIs for continuous risk assessment and compliance tracking. Develop automated pipelines to flag high-risk AI behaviors and decision anomalies. Foster a culture of explainable AI (XAI) & transparency for AI-driven decision-making. Cross-functional Leadership & Innovation Partner with product, legal, and engineering teams to integrate AI guardrails into MLOps workflows . Stay ahead of AI regulatory trends, industry best practices, and emerging risks . Competencies Required Skills Education Skills (NOT TO BE USED)

About the Role - We are seeking a highly skilled and experienced Senior Data Scientist to join our data science team. - As a Senior Data Scientist, you will play a critical role in driving data-driven decision making across the organization by developing and implementing advanced analytical solutions. - You will leverage your expertise in data science, machine learning, and statistical analysis to uncover insights, build predictive models, and solve complex business challenges. Key Responsibilities - Develop and implement statistical and machine learning models (e.g., regression, classification, clustering, time series analysis) to address business problems. - Analyze large and complex datasets to identify trends, patterns, and anomalies. - Develop predictive models for forecasting, churn prediction, customer segmentation, and other business outcomes. - Conduct A/B testing and other experiments to optimize business decisions. - Communicate data insights effectively through visualizations, dashboards, and presentations. - Develop and maintain interactive data dashboards and reports. - Present findings and recommendations to stakeholders in a clear and concise manner. - Work with data engineers to design and implement data pipelines and data warehousing solutions. - Ensure data quality and integrity throughout the data lifecycle. - Develop and maintain data pipelines for data ingestion, transformation, and loading. - Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence. - Research and evaluate new technologies and tools to improve data analysis and modeling capabilities. - Explore and implement new data science techniques and methodologies. - Collaborate effectively with data engineers, business analysts, product managers, and other stakeholders. - Communicate technical information clearly and concisely to both technical and non-technical audiences. Qualifications Essential - 4+ years of experience as a Data Scientist or in a related data science role. - Strong proficiency in statistical analysis, machine learning algorithms, and data mining techniques. - Experience with programming languages like Python (with libraries like scikit-learn, pandas, NumPy) or R. - Experience with data visualization tools (e.g., Tableau, Power BI). - Experience with data warehousing and data lake technologies. - Excellent analytical, problem-solving, and communication skills. - Master's degree in Statistics, Mathematics, Computer Science, or a related field

: As a Banking Data Analyst, you will play a critical role in our clients' data-driven decision-making processes. You will work closely with marketing teams, product managers, and other stakeholders to understand their data needs and provide relevant analyses. Your expertise in SQL, marketing analytics, and banking domain knowledge will be essential to your success. Responsibilities : - Perform in-depth data analysis using SQL to extract and analyze banking data. - Develop and maintain reports and dashboards to track key performance indicators (KPIs). - Identify trends and patterns in banking data to provide actionable insights. - Analyze marketing campaign performance and provide recommendations for optimization. - Segment customer data to identify target audiences for marketing initiatives. - Develop and implement customer lifetime value (CLTV) models. -

: As a Python Developer, you will play a critical role in our software development and data engineering initiatives. You will work closely with data engineers, architects, and other developers to build and maintain our applications and data pipelines. Your expertise in Python development, API design, and cloud technologies will be essential to your success. Responsibilities : - Design, develop, and maintain applications using the latest Python frameworks and technologies (Django, Flask, FastAPI). - Utilize Python libraries and tools (Pandas, NumPy, SQLAlchemy) for data manipulation and analysis. - Develop and maintain RESTful APIs, ensuring security, authentication, and authorization (OAuth, JWT). - Deploy, manage, and scale applications on AWS services (EC2, S3, RDS, Lambda). - Utilize infrastructure-as-code tools (Terraform, CloudFormation) for infrastructure management (Good to have). - Design and develop database solutions using PL/SQL (Packages, Functions, Ref cursors). - Implement data normalization and Oracle performance optimization techniques. - Design and develop data warehouse solutions, including data marts and ODS concepts. - Implement low-level design of warehouse solutions. - Work with Kubernetes for container orchestration, deploying, managing, and scaling applications on Kubernetes clusters.- - Utilize SnapLogic cloud-native integration platform for designing and implementing integration pipelines. Required Skills : - Expertise in Python frameworks (Django, Flask, FastAPI). - Proficiency in Python libraries (Pandas, NumPy, SQLAlchemy). - Strong experience in designing, developing, and maintaining RESTful APIs. - Familiarity with API security, authentication, and authorization mechanisms (OAuth, JWT). - Good experience and hands-on knowledge of PL/SQL (Packages/Functions/Ref cursors). - Knowledge of data normalization and Oracle performance optimization techniques. - Experience in development & low-level design of warehouse solutions. - Familiarity with Data Warehouse, Datamart and ODS concepts. - Proficiency in AWS services (EC2, S3, RDS, Lambda). Good to Have Skills : Kubernetes : - Hands-on experience with Kubernetes for container orchestration. Infrastructure as Code : - Experience with infrastructure-as-code tools (Terraform, CloudFormation). Integration Platforms : - Experience with SnapLogic cloud-native integration platform. Experience : - 5 to 8 years of experience as a Python Developer. Location : - Bangalore or Gurgaon

Greetings from Newt Global Good day!! Job Title: Senior Python developer Experience: 2+ years Location: Chennai Work location: Chennai (5 days WFO) Domain: Product development Key Responsibilities: Strong understanding of Python frameworks (Flask) and libraries (e.g., Pandas, NumPy, Scikit-learn). Proficiency in SQL and experience with databases like PostgreSQL/ Oracle (any other SQL databases) Experience with cloud services (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) Added Advantage Demonstrated problem solving /Algorithms / Design patterns / Hackathon etc Good to have Machine learning, AI, Data science exposure (Scikit-learn, TensorFlow, PyTorch) Product development experience is preferred Qualifications: 2+ years of professional experience in Python backend development. Experience with RESTful APIs and microservices architecture. Bachelor's degree in Computer Science, Computer Engineering, or a related field. Regards, Elakkiya M ________________________________________ Sr Technical Recruiter | Newt Global Email: elakkiyam@newtglobalcorp.com Join my professional network by clicking here: https://www.linkedin.com/in/lucky157/

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark)In-depth knowledge of Spark’s architecture, core APIs, and PySpark for distributed data processing. Big Data TechnologiesFamiliarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Strong proficiency in PythonExpertise in Python programming with a focus on data processing and manipulation. Data Processing FrameworksKnowledge of data processing libraries such as Pandas, NumPy. SQL ProficiencyExperience writing optimized SQL queries for large-scale data analysis and transformation. Cloud PlatformsExperience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing

Must have knowledge in Azure Datalake, Azure function, Azure Databricks, Azure data factory, PostgreSQL Working knowledge in Azure devops, Git flow would be an added advantage. (OR) SET 2 Must have working knowledge in AWS Kinesis, AWS EMR, AWS Glue, AWS RDS, AWS Athena, AWS RedShift. Should have demonstrable knowledge and expertise in working with timeseries data. Working knowledge in delivering data engineering / data science projects in Industry 4.0 is an added advantage. Should have knowledge on Palantir. Strong problem-solving skills with an emphasis on sustainable and reusable development. Experience using statistical computer languages to manipulate data and draw insights from large data sets Python/PySpark, Pandas, Numpy seaborn / matplotlib, Knowledge in Streamlit.io is a plus Familiarity with Scala, GoLang, Java would be added advantage. Experience with big data toolsHadoop, Spark, Kafka, etc. Experience with relational databases such as Microsoft SQL Server, MySQL, PostGreSQL, Oracle and NoSQL databases such as Hadoop, Cassandra, Mongo dB Experience with data pipeline and workflow management toolsAzkaban, Luigi, Airflow, etc Experience building and optimizing big data data pipelines, architectures and data sets. Strong analytic skills related to working with unstructured datasets. Primary Skills Provide innovative solutions to the data engineering problems that are faced in the project and solve them with technically superior code & skills. Where possible, should document the process of choosing technology or usage of integration patterns and help in creating a knowledge management artefact that can be used for other similar areas. Create & apply best practices in delivering the project with clean code. Should work innovatively and have a sense of proactiveness in fulfilling the project needs. Additional Information: Reporting to Director- Intelligent Insights and Data Strategy Travel Must be willing to be deployed at client locations anywhere in the world for long and short term as well as should be flexible to travel on shorter duration within India and abroad

GenAI Architect - Fulltime Remote Shift:General Shift Job Summary: We are looking for a GenAI Architect with deep expertise in AI/Gen AI systems, specifically in designing and building large-scale AI solutions. As a GenAI Architect , you will be responsible for leading the design and architecture of cutting-edge Gen AI systems, with a focus on large language models (LLMs), AI frameworks, and advanced machine learning technologies. This is a senior role requiring strategic vision and hands-on expertise in AI solution architecture, software engineering, and MLOps practices. Responsibilities: Architecting AI Solutions : Design and architect scalable, efficient, and robust GenAI systems leveraging advanced machine learning frameworks, particularly in large language models (LLMs). Leading AI Framework Implementation : Lead the design and implementation of complex GenAI models and frameworks using Python and other relevant technologies. Provide strategic oversight of AI/GenAI architecture to align with business needs and tech stack. Model Optimization and Performance : Oversee the optimization of large-scale AI models for both training and inference, ensuring high performance and scalability across platforms. API Architecture & Development : Guide the development of high-performance APIs for AI services using FastAPI or other relevant frameworks, ensuring ease of integration with internal and external systems. MLOps Integration : Drive the integration of MLOps pipelines for seamless deployment, monitoring, and scaling of machine learning models, ensuring automation, efficiency, and high availability. Leadership and Mentorship : Provide technical leadership and mentorship to teams of engineers, guiding them in best practices for AI system architecture, software engineering, and AI model lifecycle management. Collaboration with Cross-Functional Teams : Work closely with Data Science, Data Engineering, DevOps, and Product teams to ensure AI/Gen AI solutions are architected in a way that meets both technical and business requirements. CI/CD & Automation : Design and implement automated pipelines for continuous integration and continuous deployment (CI/CD) of AI models, ensuring smooth and rapid updates to production environments. DevOps Practices : Ensure the robust deployment and management of AI models in production environments using DevOps tools like Docker, Kubernetes, Jenkins, and Terraform. Security and Compliance : Ensure AI systems adhere to best practices in security, privacy, and compliance, especially in handling sensitive data and large-scale model training. Key Requirements: Experience : Hands-on experience in AI/Gen AI system design, implementation, and scaling, with expertise in large language models (LLMs) and AI frameworks. Programming Skills : Expertise in Python and a strong understanding of data manipulation libraries like Pandas and NumPy. AI Frameworks : Experience in designing and managing large-scale AI models using cutting-edge frameworks such as TensorFlow, PyTorch, and similar. API Development : Strong experience in FastAPI or other modern frameworks for building high-performance APIs. Software Engineering : Proficient in software engineering principles, version control (Git), and maintaining code quality through automated testing and CI/CD pipelines. MLOps & ML Engineering : Deep understanding of MLOps practices for model deployment, monitoring, and optimization. Hands-on experience with ML engineering workflows. DevOps Expertise : Strong experience with DevOps tools like Docker, Kubernetes, Jenkins, and Terraform, with an emphasis on automating deployment and managing infrastructure at scale. Leadership & Mentorship : Proven experience in leading technical teams, making architectural decisions, and mentoring junior engineers.

Summary of the profile: Develops information systems by studying operations; designing, developing, and installing software solutions, supports and develops software team. What you'll do here: Develops software solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; following the software development lifecycle. Implement and maintain Django-based applications Use server-side logic to integrate user-facing elements. Develop software related to asset management Write and implement software solutions that integrate different systems. Identify and suggest various opportunities to improve efficiency and functionality. Coordinating the workflow between the graphic designer, the HTML coder, and yourself Creating self-contained, reusable, and testable modules and components Continuously discover, evaluate, and implement new technologies to maximize development efficiency. Unit-test code for robustness, including edge cases, usability, and general reliability. Provides information by collecting, analyzing, and summarizing development and service issues. What you will need to thrive: 2 to 6 years of experience in Django, Python, APIs, Numpy, Pandas, PostgreSQL, Git, AWS, Docker, REST, NoSQL, MySQL, JavaScript Experience of working with Windows and Linux operating systems. Familiarity with Python modules like SQL Alchemy, Sanic, Flask, Django, Numpy, Pandas and Visualization modules Experience in writing tests with PyTest Strong knowledge of REST API Experience of working in an Agile environment, particularly with Scrum/Kanban processes The ability to deliver required functionality working with UI as well as database engineers Good team working skills are a must for this role Good problem solving abilities Accountability and strong attention to detail Working knowledge of GIT and GITHUB Education & Experience: Bachelors degree in IT Information Security or related field required; Masters degree Desirable. Core competencies: • Communication, Coding & Team management

Python Programming: Proficiency in Python, Working with libraries like TensorFlow, PyTorch,Transformers,NLTK,Pandas,sklearn, and other related libraries used in NLP tasks and fine tuning language models. Experience with building comprehensive python modules for NLP tasks like tokenization, word embeddings,classifications. Evaluating and selecting the open source and/or commercial LLMs suitable for financial lending domains Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad