57 Data Scientists Jobs

As an AI/ML Specialist in this full-time role based in Gurugram and Bangalore, your main responsibility will be to develop and implement machine learning models, conduct data analysis, and collaborate with cross-functional teams to integrate AI solutions into various projects. Your daily tasks will include designing algorithms, experimenting with AI techniques, preparing data sets, and deploying models to production environments. Additionally, you will be required to research new AI technologies and optimize existing machine learning systems. Your key responsibilities will include: - Designing, developing, and deploying machine learning models and AI algorithms - from data ingestion and feature engineering to model validation and tuning. - Collaborating with data scientists, software engineers, and product teams to integrate ML solutions into production systems. - Preprocessing datasets and executing data analysis pipelines to ensure clean, high-quality inputs. - Monitoring, evaluating, and optimizing model performance and scalability in production. - Staying updated on AI/ML trends such as Generative AI, NLP, and latest frameworks - and applying relevant innovations. - Documenting code, designs, and model evaluation results clearly and comprehensively. Qualifications required for this role include a strong background in AI and Large Language Models (LLMs), as well as experience in designing, developing, and implementing web applications using Django. The ideal candidate will have the ability to deliver high-quality software solutions, develop scalable web applications, integrate AI functionalities, and optimize performance to deliver innovative solutions. (ref:hirist.tech),

As a GenAI Technical Solutions Architect, your role involves developing and implementing architecture strategies for Gen AI to enhance AI ML model deployment and monitoring efficiency. You will focus on developing cutting-edge architectural strategies for Gen AI components and platforms, leading the implementation of LLM operations, and working closely with data scientists and AI professionals to drive digital transformation. Your responsibilities include: - Developing cutting-edge architectural strategies for Gen AI components and platforms, leveraging advanced techniques such as chunking, Retrieval-Augmented Generation (RAG), AI agents, and embeddings. - Leading working sessions for Arch Alignment, pattern library development, GEN AI Tools Data Architect alignment, and identifying components for reuse to save efforts, time, and money. - Leading the implementation of LLM operations to optimize model performance, scalability, and efficiency, and designing autonomous AI systems capable of complex decision-making and task execution. - Working closely with data scientists and AI professionals to identify and pilot innovative use cases aligned with business objectives and ROI. - Defining AI architecture, selecting suitable technologies, integrating RAG systems, embedding models, and LLM frameworks, and deciding on optimal deployment models. - Auditing AI tools and practices for continuous improvement, collaborating with security and risk leaders to ensure ethical AI implementation, and staying updated on AI regulations. You should have: - Proven track record in shipping products and developing Gen AI product architecture, with 10+ years of experience in AI and 5+ years in building NLP/AI software. - Demonstrated experience in delivering Gen AI products, deep familiarity with cloud technologies, proficiency in PyTorch, TensorFlow, Kubernetes, Docker, and experience deploying models using advanced LLM ops techniques. - Excellent communication and interpersonal skills, hands-on experience with chunking strategies, RAG implementation, and optimizing embedding models. Qualifications: - Bachelor's or master's degree in computer science, Data Science, or a related technical field. - Ability to translate complex technical concepts into actionable business strategies, strong communication skills, and a proven track record in managing and delivering AI/ML projects in large-scale enterprise environments.,

You will be responsible for leading India-based teams of software engineering staff, data scientists, and other technical professionals involved in developing AI-enabled health analytics and risk management solutions at an enterprise level. Your role will involve managing the development of AI and NLP-based analytics products from a clinical and care management perspective. Additionally, you will oversee the creation and upkeep of full-stack software solutions for health risk assessment, clinical summarization, and health equity analytics. It will also be part of your responsibility to expand our internal service tools and platforms that process healthcare datasets, EHR, claim, and care management data efficiently. Your focus will be on enhancing operational efficiency by implementing project management tools and processes to support team performance and achieve optimal results consistently. Encouraging a culture of continuous innovation and creativity will be vital, along with guiding the team to translate high-level business challenges into practical data- and AI-driven health analytics. Furthermore, you will be instrumental in growing a team of enthusiastic, skilled, and committed professionals through strategic hiring and seamless integration processes. To excel in this role, you should have experience in managing and leading internal resources across different geographies and time zones. A minimum of 10 years of software engineering experience, including maintaining and operating a software product for at least 2 years, is required. You should also possess a minimum of 5 years of hands-on experience in cloud computing, data processing, or data science. Your proficiency in team building, leadership, and effective communication in English and Hindi will be crucial for this position. Your qualifications should include a degree in computer science, mathematics, statistics, or another engineering field. Additionally, you must demonstrate a strong focus on software security and possess relevant experience in security certifications. The ability to collaborate and communicate efficiently with both technical and non-technical teams is essential. Moreover, your expertise in translating client and subject matter expert insights into product and operational requirements for technical teams will be highly valuable. Previous experience working with healthcare data or in the healthcare domain will be an advantage for this role.,

As a seasoned professional with extensive experience in machine learning operations (MLOps), you will be responsible for leading a talented team and developing a comprehensive technical strategy. Your expertise in Python programming and ML frameworks such as TensorFlow or PyTorch will be crucial in implementing MLOps best practices, including model versioning, monitoring, automated deployment, and infrastructure automation. Your in-depth knowledge of Google Cloud Platform services, including Data Fusion, Dataproc, and Dataflow, will play a key role in data processing and pipeline orchestration. Experience with PostgreSQL databases and data integration tools like Qlik Replicate will further enhance your capabilities in this role. Security and privacy considerations for machine learning systems will be a top priority, requiring expertise in data encryption, access control, and compliance with regulations such as GDPR and HIPAA. Strong communication and leadership skills are essential for engaging both technical and non-technical stakeholders effectively. With a background in Computer Science, Engineering, or related field, along with 5+ years of experience managing software engineering or MLOps teams, you will be well-equipped to take on this challenging role. Hands-on experience deploying and managing machine learning models in production for 3+ years will further strengthen your candidacy. Your overall IT industry experience of 14+ years, along with relevant certifications in MLOps and Cloud platforms (especially GCP Professional Machine Learning Engineer or Data Engineer), will be valuable assets in this position. In this role, you will be leading the development and execution of a comprehensive technical strategy for the end-to-end ML lifecycle and experimentation capabilities. Your responsibilities will include fostering a culture of continuous learning and innovation, participating hands-on in coding, code reviews, troubleshooting, and mentoring, and creating scalable MLOps frameworks and infrastructure to support the full machine learning pipeline. Collaboration with data scientists, data engineers, software developers, and business stakeholders will be essential to ensure robustness, scalability, and performance in integrating ML models into production. Implementation of rigorous security best practices to maintain compliance with industry standards and regulations will be a critical aspect of your role. Furthermore, you will be responsible for maintaining thorough technical documentation, guidelines, and knowledge-sharing resources to support the ongoing success of the MLOps initiatives.,

As a Solution Architect - AI at CitiusTech, you will be a valuable member of an Agile team focused on developing healthcare applications and implementing new features while ensuring adherence to the best coding development standards. Your responsibilities will include defining and implementing best practices for building, testing, and deploying scalable AI solutions, with a particular emphasis on generative models and LLMs utilizing Hyperscaler provided models or open-source models. You will be responsible for maintaining the infrastructure necessary for machine learning operations, including Cloud services, data storage, and computing resources. Additionally, you will develop and implement automation tools and frameworks to efficiently and reliably deploy machine learning models into production environments. Ensuring processes for version control, management of machine learning models, traceability, reproducibility, and proper documentation are also part of your role. Furthermore, you will be tasked with creating monitoring systems to track model performance health and data quality in production, implementing strategies for retraining and updating models as needed, and collaborating with various teams to streamline the integration of models into applications. Optimization of machine learning workflows, algorithms, and infrastructure to improve performance, reduce latency, and handle scalability challenges will also be among your responsibilities. Your role will involve establishing CI/CD pipelines specific to machine learning workflows, identifying and addressing issues related to models, data pipelines, or infrastructure promptly, documenting processes, configurations, and best practices for knowledge sharing, and keeping up-to-date with the latest advancements in AI/ML technologies and methodologies. With 8 - 10 years of experience, the position is available in Pune, Chennai, and Bangalore. Educational qualifications required include an Engineering Degree (BE/ME/BTech/MTech/BSc/MSc) along with certifications in AWS, GCP, or Azure, and certifications in Data Science. Mandatory technical skills for the role encompass experience in AI/ML contexts, in-depth understanding of generative models, proficiency in programming languages such as Python, R, TensorFlow, or PyTorch, and leadership skills. Good to have skills include prior experience in the healthcare domain. CitiusTech's commitment is to combine IT services, consulting, products, accelerators, and frameworks with a client-first mindset and next-gen tech understanding to humanize healthcare and make a positive impact on human lives. The organization fosters a collaborative culture focused on continuous learning and work-life balance. Rated as a Great Place to Work, CitiusTech offers comprehensive benefits to support your long and rewarding career. Their EVP, "Be You Be Awesome," reflects the company's efforts to create a great workplace where employees can thrive personally and professionally. Join CitiusTech to collaborate with global leaders and shape the future of healthcare, positively impacting human lives. For further information about CitiusTech and to explore career opportunities, visit https://www.citiustech.com/careers. Happy applying!,

You will be joining a team at PwC that specializes in data and analytics engineering, utilizing advanced technologies and techniques to create strong data solutions for clients. Your role will involve the transformation of raw data into actionable insights, supporting informed decision-making and fostering business growth. In the field of intelligent automation, your focus will be on process mining, designing automation solutions, and implementing process automation, robotic automation, and digital workflow solutions to enhance operational efficiency and cost reduction for clients. With a requirement of at least 8 years of hands-on experience, your responsibilities will include leading and overseeing a team of software engineers working on advanced software solutions for GenAI projects. You will collaborate with senior leadership and cross-functional teams to gather business requirements, identify areas for technological enhancements, and ensure alignment with organizational objectives. Designing event-driven architectures for real-time data processing, utilizing containerization technologies like Kubernetes, managing data lakes effectively, and promoting Python as the primary programming language are key aspects of your role. Moreover, you will facilitate collaboration between software engineers, data scientists, data engineers, and DevOps teams to ensure seamless integration and deployment of GenAI models. Keeping abreast of GenAI technologies, translating complex business needs into technical solutions, documenting software engineering processes, and promoting a culture of excellence will be crucial tasks. Continuous professional development of the team through acquiring new solution architecture certifications and adherence to industry best practices will also be part of your responsibilities. The ideal candidate will possess a degree in BE/B.Tech/MCA/M.Sc/M.E/M.Tech/MBA along with a strong background in software engineering and solution architecture.,

You will be responsible for overseeing the end-to-end delivery of medium to large Data and AI programs, including planning, execution, and closure. As a Delivery Director, you will collaborate with Customer teams, onsite and India teams, and act as a people manager to ensure successful project outcomes. Your role will involve developing a structure and operating model for the program, taking accountability for project success, and implementing delivery frameworks and best practices for Data and AI projects. Additionally, you will be expected to lead problem-solving efforts, provide technical expertise, and monitor project progress. Your duties will also include managing routine managerial tasks such as resource planning, hiring, coaching, mentoring, and reporting. Strong communication, presentation, and interpersonal skills will be essential as you collaborate with Data Scientists, AI Engineers, Solution Architects, and Customers to ensure technical feasibility and adherence to standards. You will be required to research best practices, drive continuous process improvement, and oversee the integration of data pipelines, AI models, and analytics solutions into operational environments. In addition to supporting margin improvement initiatives, you should be prepared to travel, meet customers, and take ownership of presales activities. Risk management will be a key aspect of your role, as you identify, monitor, and mitigate project risks to ensure successful project delivery. Promoting Agile practices and staying informed about industry trends in Data and AI will also be crucial to enhancing team performance and influencing program strategies. To qualify for this position, you should hold a Bachelor's degree in Computer Science, Data Science, Engineering, Business, or a related field. You must have at least 12 years of experience in program or project management, with a focus on Data and AI. A proven track record of delivering complex technology programs on time and within budget is required, along with strong knowledge of data engineering, AI/ML concepts, and cloud platforms, preferably in GCP. Exceptional communication, negotiation, stakeholder management skills, proficiency in project management tools, experience with Agile methodologies, and hands-on expertise in Data and AI technologies are also essential qualifications for this role. Familiarity with regulatory and compliance considerations in Data and AI, such as GDPR and AI Ethics, will be an added advantage.,

Role & responsibilities We are seeking a skilled LEAD Data Engineer to join our dynamic team. The Data Engineer will be responsible for designing, developing, and maintaining our data pipelines, integrations, and data warehouse infrastructure. The successful candidate will work closely with data scientists, analysts, and business stakeholders to ensure that our data is accurate, secure, and accessible for all users. Responsibilities Design and build scalable data pipeline architecture that can handle large volumes of data Develop ELT/ETL pipelines to extract, load and transform data from various sources into our data warehouse Optimize and maintain the data infrastructure to ensure high availability and performance Collaborate with data scientists and analysts to identify and implement improvements to our data pipeline and models Develop and maintain data models to support business needs Ensure data security and compliance with data governance policies Identify and troubleshoot data quality issues Automate and streamline processes related to data management Stay up-to-date with emerging data technologies and trends to ensure the continuous improvement of our data infrastructure and architecture. Analyze the data products and requirements to align with data strategy Assist in extracting or researching data for cross-functional business partners for consumer insights, supply chain, and finance teams Enhance the efficiency, automation, and accuracy of existing reports Follow best practices in data querying and manipulation to ensure data integrity Requirements Bachelor's or masters degree in computer science, Data Science, or a related field Must have 13 + years of experience as a Snowflake Data Engineer or related role Must have experience with Snowflake Strong Snowflake experience building, maintaining and documenting data pipelines Expertise in Snowflake concepts like RBAC management, virtual warehouse, file format, streams, zero copy clone, time travel and understand how to use these features Strong SQL development experience including SQL queries and stored procedures Strong knowledge of ELT/ETL no-code/low-code tools like Informatica / SnapLogic. Well versed in data standardization, cleansing, enrichment, and modeling Proficiency in one or more programming languages such as Python, Java, or C# Experience with cloud computing platforms such as AWS, Azure, or GCP Knowledge of ELT/ETL processes, data warehousing, and data modeling Familiarity with data security and governance best practices Excellent hands-on experience in problem-solving and analytical skills and improving the performance of processes Strong communication and collaboration skills

You are sought after to join our MADTECH.AI team as an experienced Product Manager - UI/UX, with a specialization in AI-driven design principles. In this pivotal role, you will spearhead the enhancement of the user experience for our AI-powered B2B SaaS platform. Your role will involve the amalgamation of advanced UI/UX design expertise with a profound understanding of AI technologies to craft seamless, user-friendly interfaces that deliver exceptional user experiences. As a key member collaborating with cross-functional teams comprising AI specialists, data scientists, developers, and product managers, you will strive to ensure that our platform not only aligns with business objectives but also fosters innovation through cutting-edge design strategies. Your primary responsibilities will include: AI-Enhanced Design Strategy: Lead the incorporation of AI into the design process by leveraging data-driven design, AI-powered personalization, and predictive analytics to consistently enhance user experiences. Collaborative Product Management: Engage closely with AI and data science teams to integrate intelligent features such as natural language processing (NLP), machine learning (ML), and recommendation systems into the design process. User-Centered Research & Analysis: Conduct thorough user research, including AI-assisted sentiment analysis, heatmap tracking, and data-driven persona development, to guide the design strategy effectively. Prototyping with AI Insights: Utilize advanced AI-based prototyping tools to simulate user interactions, ensuring that user feedback and behavioral data are integrated into design iterations. Iterative Design Process: Leverage AI tools for ongoing testing, including A/B testing, multivariate testing, and behavioral analytics, to refine user flows, wireframes, and high-fidelity mockups based on real-time data. Cross-Functional Collaboration: Collaborate with AI engineers, data scientists, and QA teams to ensure that design solutions align with the technical capabilities of AI features, encompassing algorithms and machine learning models. AI-Driven Personalization: Develop and implement AI-driven UI elements that personalize user experiences based on data insights, thereby enhancing user satisfaction, engagement, and retention. Data Analytics & User Testing: Employ AI tools for advanced usability testing, such as eye-tracking and click-stream analysis, to pinpoint friction points and optimize UI/UX design effectively. AI Ethics & Accessibility: Uphold ethical standards in AI features, enhance transparency and inclusivity, and ensure compliance with WCAG guidelines for accessible design. Documentation & Reporting: Present data-backed design insights and decisions to stakeholders, utilizing AI analytics dashboards to visualize and elucidate user behavior and design impact. Qualifications and Skills: Bachelor's or Master's degree in Engineering, IT, or a related field. Advanced coursework or certifications in AI, machine learning, or data science are advantageous. 10-15 years of experience in UI/UX design, with a minimum of 4 years focusing on AI-driven products, preferably in B2B SaaS or enterprise applications. Proficiency in Figma and experience with design tools like Sketch, Adobe XD, and InVision. Deep understanding of user research methodologies, including AI-based sentiment analysis and usability testing with machine learning-enhanced insights. Proven track record of collaborating with AI specialists, data scientists, and engineers to design and implement AI-driven product features. Excellent communication skills with the ability to convey AI-driven design insights and strategies clearly and persuasively to stakeholders. Proficiency in visual design with a balance between aesthetics and technical feasibility, especially in complex AI-driven design challenges. Sound knowledge of AI models and their integration into UX/UI, including NLP, predictive algorithms, and recommendation engines. Experience with front-end development (HTML, CSS, JavaScript) to enhance collaboration with engineers. Familiarity with tools like Google Analytics, Hotjar, or Crazy Egg, integrated with AI models, to optimize UX/UI decisions based on real-time data. Understanding of AI ethics, data privacy, and regulatory standards in AI-driven product design and development. Willingness to work from the Mysore/Bangalore office. If you possess the qualifications and skills mentioned above and are enthusiastic about spearheading the enhancement of user experiences for our AI-powered B2B SaaS platform, we look forward to your application.,

You will be joining Cognizant, a rapidly growing consulting and IT services Fortune 500 company with a global presence and a commitment to excellence. As a Lead GenAI Architect at the Cognizant AI Labs, you will play a crucial role in designing and delivering cutting-edge solutions in Generative Artificial Intelligence (GenAI). Your responsibilities will include engaging with CxO-level stakeholders to understand business priorities, providing thought leadership in the Generative AI landscape, collaborating with cross-functional teams to identify high-impact GenAI use cases, and driving architecture decisions for scalable and cost-efficient solutions. Your qualifications should include a Bachelor's or Master's degree in computer science, data science, or a related field, along with proven experience in architecting and implementing AI solutions, specifically in Generative Artificial Intelligence. You should possess a strong understanding of AI platforms, tools, and frameworks, excellent communication and interpersonal skills to engage with senior executives, and the ability to lead and collaborate with diverse teams. Knowledge of responsible AI practices and ethical considerations will be crucial for this role. Overall, you will be at the forefront of scientific innovation, working to maximize human potential with decision AI and contributing to the development of groundbreaking AI solutions that have a positive impact on everyday life.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS Consulting digital engineering is seeking an experienced Azure Cloud and Python Developer for ML to join our Emerging Technologies team in DET, GDS. This role presents an exciting opportunity to contribute to innovative projects and be a key player in shaping our technological advancements. We are seeking an experienced Azure Cloud and Python Developer with 6-8 years of hands-on experience in machine learning (ML) development. This role involves developing and deploying ML models on the Azure cloud platform, designing efficient data pipelines, and collaborating with data scientists and stakeholders to deliver technical solutions. **Your Key Responsibilities** - Develop and deploy machine learning models on Azure cloud platform using Python programming language, ensuring scalability and efficiency. - Design and implement scalable and efficient data pipelines for model training and inference, optimizing data processing workflows. - Collaborate closely with data scientists and business stakeholders to understand requirements, translate them into technical solutions, and deliver high-quality ML solutions. - Implement best practices for ML development, including version control using tools like Git, testing methodologies, and documentation to ensure reproducibility and maintainability. - Design and optimize ML algorithms and data structures for performance and accuracy, leveraging Azure cloud services and Python libraries such as TensorFlow, PyTorch, or scikit-learn. - Monitor and evaluate model performance, conduct experiments, and iterate on models to improve predictive accuracy and business outcomes. - Work on feature engineering, data preprocessing, and feature selection techniques to enhance model performance and interpretability. - Collaborate with DevOps teams to deploy ML models into production environments, ensuring seamless integration and continuous monitoring. - Stay updated with the latest advancements in ML, Azure cloud services, and Python programming, and apply them to enhance ML capabilities and efficiency. - Provide technical guidance and mentorship to junior developers and data scientists, fostering a culture of continuous learning and innovation. **Skills And Attributes** **Soft Skills** - Bachelor's or master's degree in computer science, data science, or a related field, with a strong foundation in ML algorithms, statistics, and programming concepts. - Minimum 6-8 years of hands-on experience in developing and deploying ML models on Azure cloud platform using Python programming language. - Expertise in designing and implementing scalable data pipelines for ML model training and inference, utilizing Azure Data Factory, Azure Databricks, or similar tools. - Proficiency in Python programming language, including libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy for ML model development and data manipulation. - Strong understanding of ML model evaluation metrics, feature engineering techniques, and data preprocessing methods for structured and unstructured data. - Experience with cloud-native technologies and services, including Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage. - Familiarity with DevOps practices, CI/CD pipelines, and containerization tools like Docker for ML model deployment and automation. - Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to troubleshoot and debug complex ML algorithms and systems. - Effective communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders and collaborate in cross-functional teams. - Proactive and self-motivated attitude, with a passion for learning new technologies and staying updated with industry trends in ML, cloud computing, and software development. - Strong organizational skills and the ability to manage multiple projects, prioritize tasks, and deliver results within project timelines and specifications. - Business acumen and understanding of the impact of ML solutions on business operations and decision-making processes, with a focus on delivering value and driving business outcomes. - Collaboration and teamwork skills, with the ability to work effectively in a global, diverse, and distributed team environment, fostering a culture of innovation and continuous improvement. To qualify for the role, you must have a bachelor's or master's degree in computer science, data science, or a related field, along with a minimum of 6-8 years of experience in ML development and Azure cloud platform expertise. Strong communication skills and consulting experience are highly desirable for this position. **Ideally, you'll also have** - Analytical ability to manage complex ML projects and prioritize tasks efficiently. - Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills. - Familiarity with other cloud platforms and technologies such as AWS, Google Cloud Platform (GCP), or Kubernetes is a plus. **What Working At EY Offers** At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies, and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: - Support, coaching, and feedback from engaging colleagues - Opportunities to develop new skills and progress your career - Freedom and flexibility to handle your role in a way that's right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As a Talent Acquisition Executive, you will play a crucial role in driving talent acquisition strategies to support the growth objectives of our company. Working closely with the HR department, business leaders, and hiring managers, you will be responsible for identifying, attracting, and hiring top talent in the industry. If you are passionate about building high-performing teams and have a proven track record in sourcing, hiring, and retaining top talent in the data analytics industry, we encourage you to apply for this exciting opportunity. Your key responsibilities will include leading the end-to-end recruitment process for roles in Data Engineering, Data Science, and Data Analytics. This involves assessing candidates" proficiency in programming languages such as Python, Java, and Scala, data pipelines like ETL and Kafka, cloud platforms like AWS, Azure, and GCP, as well as big data technologies including Hadoop and Spark. You will also design and implement technical assessment processes to ensure candidates meet the high technical standards required for our projects. Collaborating with stakeholders such as the CTO, Engineering Leads, and Data Science teams, you will translate technical requirements into effective job descriptions, recruitment strategies, and candidate evaluation criteria. Additionally, you will build and maintain a robust pipeline of highly qualified candidates through various channels and advanced sourcing techniques. To excel in this role, you should stay current with trends in Data Engineering, Data Science, and Analytics, including advancements in AI/ML, data warehousing, real-time analytics, and DevOps practices. Implementing strategies to ensure diverse and inclusive hiring practices will also be a key focus, along with supporting talent development and retention initiatives within the company. The ideal candidate will have at least 3 years of experience in Talent Acquisition, with a strong background in recruiting for technical roles in high-growth or technically complex environments. Strong technical knowledge in programming languages, big data technologies, cloud platforms, data processing, and analytics tools is essential. Leadership experience, analytical skills, excellent communication abilities, and a commitment to excellence are also important qualifications for this role. In addition to technical expertise, soft skills such as problem-solving, collaboration, adaptability, attention to detail, and continuous learning are highly valued. Excellent verbal and writing skills are essential for effective communication with both technical and non-technical stakeholders. If you are ready to take on this challenging and rewarding role, we look forward to receiving your application.,

ETL Process Design: Designing and developing ETL processes using Talend for data integration and transformation. Data Extraction: Extracting data from various sources, including databases, APIs, and flat files. Data Transformation: Transforming data to meet business requirements and ensuring data quality. Data Loading: Loading transformed data into target systems, such as data warehouses or data lakes. Job Scheduling: Scheduling and automating ETL jobs using Talend's scheduling tools. Performance Optimization: Optimizing ETL workflows for efficiency and performance. Error Handling: Implementing robust error handling and logging mechanisms in ETL processes. Data Profiling: Performing data profiling to identify data quality issues and inconsistencies. Documentation: Documenting ETL processes, data flow diagrams, and technical specifications. Collaboration with Data Teams: Working closely with data analysts, data scientists, and other stakeholders to understand data requirements. Min 4 to Max 7yrs of Relevant exp. Locations : Mumbai, Delhi NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

As a Data Architect with over 6 years of experience, you will be responsible for designing and implementing modern data lakehouse architectures on cloud platforms such as AWS, Azure, or GCP. Your primary focus will be on defining data modeling, schema evolution, partitioning, and governance strategies to ensure high-performance and secure data access. In this role, you will own the technical roadmap for scalable data platform solutions, ensuring they are aligned with enterprise needs and future growth. You will also provide architectural guidance and conduct code/design reviews across data engineering teams to maintain high standards of quality. Your responsibilities will include building and maintaining reliable, high-throughput data pipelines for the ingestion, transformation, and integration of structured, semi-structured, and unstructured data. You should have a solid understanding of data warehousing concepts, ETL/ELT pipelines, and data modeling. Experience with tools like Apache Spark (PySpark/Scala), Hive, DBT, and SQL for large-scale data transformation is essential for this role. You will be required to design ETL/ELT workflows using orchestration tools such as Apache Airflow, Temporal, or Apache NiFi. In addition, you will lead and mentor a team of data engineers, providing guidance on code quality, design principles, and best practices. As a subject matter expert in data architecture, you will collaborate with DevOps, Data Scientists, Product Owners, and Business Analysts to understand data requirements and deliver solutions that meet their needs.,

You are invited to join as a Gen AI developer or Data scientist at EXL Services, where you will work on exciting projects related to Agentic AI, LLM, NLP, and CV. We are looking for individuals with 3 to 10 years of experience in the field. If you are passionate about cutting-edge technologies and want to contribute to innovative projects, we encourage you to share your resume directly with us. Join us at EXL Services and be part of a dynamic team that is shaping the future of artificial intelligence.,

Chargebee is seeking a visionary and hands-on Director of Data Analytics, Science & AI Enablement to lead the creation and growth of a data function that powers enterprise-wide AI initiatives. You will play a crucial role in designing, building, and leading a cross-functional team responsible for enterprise data analytics, data science, data governance, and structured data enablement to support advanced AI/ML use cases. As the Director of Data Analytics, Science & AI Enablement, you will lead the development and deployment of machine learning, generative AI, recommendation systems, and predictive models to enhance product intelligence and automation. You will be responsible for building and scaling AI capabilities across the platform, including personalization, NLP, anomaly detection, and customer segmentation, while ensuring that the models are interpretable, ethical, and aligned with business and customer trust standards. Driving insights into user behavior, product performance, churn prediction, and lifecycle value using customer and usage data will be a critical aspect of your role. You will develop dashboards, KPIs, and self-service analytics tools for marketing, product, sales, and support teams, as well as own the customer analytics roadmap to enhance onboarding, conversion, retention, and upsell opportunities. You will build and lead a high-performance team of data scientists, AI/ML engineers, analysts, and data product managers. Collaborating with various departments such as Product, Engineering, Marketing, Sales, Legal, Risk & Compliance, and Customer Success, you will align data strategy with business objectives and legal requirements. Your ability to communicate findings to senior leadership and influence roadmap decisions using data-backed recommendations will be crucial. Collaborating with Data Engineering, you will ensure scalable data architecture and high-quality data pipelines. Overseeing data quality, governance, and compliance across all analytical and operational systems, you will implement scalable data architecture and governance frameworks, ensuring compliance with data privacy regulations and internal standards. Additionally, you will establish and lead a high-performing global team of data analysts, data scientists, and data engineers. Driving data availability, quality, and governance across the organization to support AI and advanced analytics initiatives will be a key part of your role. You will partner with engineering, product, and business stakeholders to identify opportunities for AI/ML solutions and ensure they are supported by reliable, well-structured data. Serving as a thought leader for data science, analytics, and AI enablement best practices, you will lead the development of dashboards, metrics, and decision-support tools that empower business leaders. To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science, Statistics, Data Science, Engineering, or related discipline. You should possess proven experience working in a SaaS or tech environment with subscription-based metrics, at least 10+ years of experience in data analytics, data science, or related fields, with 3-5 years in a leadership capacity. Strong knowledge of AI/ML concepts, data platforms, and BI tools, as well as deep understanding of data governance, data quality, and metadata management, are essential. Excellent communication and stakeholder management skills, along with prior experience with product instrumentation and event tracking platforms, will be beneficial for this role.,

It is exciting to work in a company where individuals truly BELIEVE in the mission and vision of the organization. The commitment to bringing passion and customer focus to the business is evident in every aspect of our work culture. The job is based in multiple locations including Bangalore, Mumbai, Pune, Gurgaon, Chennai, Hyderabad, Coimbatore, and Noida. As a Machine Learning Operations (MLOps) Engineer, you will play a crucial role in addressing the challenge faced by large companies in transitioning to an AI-driven organization by building the machine learning production system. This opportunity is perfect for an experienced server-side developer looking to expand their expertise in this cutting-edge field. Working alongside a team dedicated to deploying state-of-the-art AI solutions for Fractal clients, you will be at the forefront of innovation. Your responsibilities will include collaborating with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models. You will be instrumental in automating and streamlining model development and operations, as well as building and maintaining tools for deployment, monitoring, and operations. Troubleshooting and resolving issues in development, testing, and production environments will also be a key part of your role. Your tasks will involve enabling model tracking, experimentation, and automation, developing scalable ML pipelines, and creating MLOps components in the machine learning development life cycle using tools such as MLFlow, Kubeflow Model Registry, Kubeflow, DataRobot, HopsWorks, Dataiku, or any relevant ML end-to-end PaaS/SaaS services. You will work across all phases of the model development life cycle to build MLOps components and contribute to the knowledge base required for delivering complex MLOps projects on Cloud (AWS, Azure, GCP) or On-Premises environments. Additionally, you will actively participate in client business development and delivery engagements across various domains. The ideal candidate will have 3-5 years of experience in building production-quality software and a strong background in system integration, application development, or data warehouse projects using enterprise technologies. Basic knowledge of MLOps, machine learning, and Docker is required, along with proficiency in object-oriented languages such as Python, PySpark, Java, C#, or C++. Experience in developing CI/CD components for production-ready ML pipelines, database programming using SQL, and knowledge of Git for source code management are essential. The ability to collaborate effectively in a fast-paced environment, solve complex challenges, and deliver innovative solutions is crucial. Strong team handling, problem-solving, project management, and communication skills, along with a hunger for continuous learning, are highly valued. Candidates should hold a B.E/B.Tech/M.Tech in Computer Science or a related technical degree or equivalent qualification. If you are someone who thrives in a dynamic environment, loves learning, and enjoys working with motivated individuals, this opportunity is perfect for you! If this role does not align with your current aspirations, please express your interest in future opportunities by clicking "Introduce Yourself" or setting up email alerts for relevant job postings.,

Do you have a curious mind, want to be involved in the latest technology trends, and like to solve problems that have a meaningful benefit to hundreds of users across the bank Join our Tech Services- Group Chief Technology Office team and become a core contributor for the execution of the bank's global AI Strategy, particularly to help the bank deploy AI models quickly and efficiently! We are looking for an experienced Data Engineer or ML Engineer to drive the delivery of an innovative ecosystem of tools and services. In this AI focused role, you will contribute to the development of an SDK for Data Producers across the firm to build high-quality autonomous Data Products for cross-divisional consumption and Data Consumers (e.g. Data Scientists, Quantitative Analysts, Model Developers, Model Validators, and AI agents) to easily discover, access data, and build AI use-cases. Responsibilities may include: - Country lead of other Senior Engineers - Direct interaction with product owners and internal users to identify requirements, development of technical solutions, and execution - Lead Development of an SDK (Software Development Kit) to automatically capture data product, dataset, and AI / ML model metadata. Also, leverage LLMs to generate descriptive information about assets - Integration and publication of metadata into UBS's AI Use-case inventory, model artifact registry, and Enterprise Data Mesh data product and dataset catalogue for discovery and regulatory compliance purposes - Design and implementation of services that seamlessly collect runtime evidence and operational information about a data product or model and publish it to appropriate visualization tools - Creation of a collection of starters/templates that accelerate the creation of new data products by leveraging a collection of the latest tools and services and providing diverse and rich experiences to the Devpod ecosystem - Design and implementation of data contract and fine-grained access mechanisms to enable data consumption on a "need to know" basis You will be part of the Data Mesh & AI Tooling team, which is a newly established function within Group Chief Technology Office. We provide solutions to help the firm embrace Artificial Intelligence and Machine Learning. We work with the divisions and functions of the firm to provide innovative solutions that integrate with their existing platforms to provide new and enhanced capabilities. One of our current aims is to help a data scientist get a model into production in an accelerated timeframe with the appropriate controls and security. We offer a number of key capabilities: data discovery that uses AI/ML to help users find data and obtain access in a secure and controlled manner, an AI Inventory that describes the models that have been built to help users build their own use cases and validate them with Model Risk Management, a containerized model development environment for a user to experiment and produce their models and a streamlined MLOps process that helps them track their experiments and promote their models. At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing, and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs. UBS is the world's largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management, and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors. We have a presence in all major financial centers in more than 50 countries. UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills, and experiences within our workforce.,

A career within Actuarial Services will provide you with the opportunity to contribute general insurance advice and consulting services to clients such as insurers, banks, regulators, and third-party administrators. You will provide advice covering solvency, economic capital, risk management, mergers and acquisitions, company restructuring and risk control, financial modeling, underwriting, new legislation, and the efficiency of claims or reporting processes. Your role may involve analyzing the impact that new regulations will have on an insurance company's balance sheet or revising business projections to ensure adequate reserves. To stand out and ensure a successful future in a constantly changing world, each individual at PwC needs to be a purpose-led and values-driven leader at every level. The PwC Professional, our global leadership development framework, sets clear expectations across lines, geographies, and career paths. It emphasizes the skills required for success and career progression in the present and future. **Responsibilities:** As a Senior Associate, working as part of a problem-solving team at PwC, your responsibilities include but are not limited to: - Developing self-awareness, addressing development areas, and leveraging feedback and reflection. - Delegating tasks to provide growth opportunities for others, coaching them to achieve results. - Demonstrating critical thinking and structuring solutions for complex business problems. - Utilizing various tools and techniques to extract insights from industry trends. - Reviewing work for quality, accuracy, and relevance, including that of colleagues. - Making informed decisions on tool usage and explaining the rationale behind choices. - Embracing diverse opportunities to gain exposure to different situations and perspectives. - Communicating effectively and influencing others in a structured manner. - Adapting behavior to build strong relationships and upholding ethical standards. - Contributing to the development of AI solutions, including prompt engineering, retrieval-augmented generation, fine-tuning, and multi-agent systems. - Applying econometric modeling techniques like GLMs, time series analysis, and semi-parametric models. - Using machine learning models such as XGBoost, random forests, and support vector machines. - Ensuring compliance with model-related regulatory requirements during model development, validation, and monitoring. - Proficiency in programming languages like Python, R, Databricks, and React. - Enforcing DevOps best practices including version control, CI/CD, test automation, and collaboration. - Designing, developing, and deploying AI models in real-world client environments. - Monitoring AI trends and supporting project delivery to enhance business processes and decision-making. - Collaborating with cross-functional teams to deliver high-quality solutions aligned with client needs. - Supporting business development efforts and internal GenAI assets to grow the firm's practice. **Qualifications:** **Minimum Educational Qualifications:** - A degree in statistics, mathematics, electrical engineering, physics, econometrics, computer science, or related technical fields. **Credentials - Good To Have:** - A master's degree or PhD in a related field from a premium institute is preferred but not required. **Minimum Years of Experience Requirement (Credential):** - 3-4 years of relevant experience.,

The opportunity: We are looking for a technical powerhouse - a hands-on Data Science and AI leader who can build, scale, and deploy machine learning systems that drive significant impact. As the key person in charge, you will be responsible for developing and executing the entire AI/ML strategy, from research to practical application, while playing a pivotal role in shaping a top-tier data organization. What you'll own: AI Leadership with a Global Lens: You will be tasked with establishing and leading a high-performing, multicultural team of data scientists, ML engineers, and analysts. Your role will involve setting a visionary path, fostering collaboration, and integrating diverse perspectives to stimulate innovation. Production-Grade AI at Scale: Your responsibilities will include deploying models that not only function effectively but also revolutionize processes such as fraud detection, credit scoring, and personalized finance on a large scale in various markets. Data Infrastructure for the Future: You will architect scalable, real-time systems that drive AI applications across different regions, languages, and regulatory landscapes. Fintech at Its Core: Your contributions will extend beyond technical aspects to directly impact financial inclusion, risk assessment, and overall growth in one of the world's most dynamic regions. Ethical AI for Real-World Impact: Ensuring fairness, transparency, and compliance in every model will be crucial, as trust forms the bedrock of the financial sector. Who you are: A Technical Leader Who Thrives in Diversity: You possess experience in building and leading teams with a diverse cultural mix, combining technical proficiency with emotional intelligence. A Hands-On AI/ML Expert: Your expertise lies in training, deploying, and scaling models, while also empowering your team members to reach their full potential. A Fintech or High-Stakes AI Veteran: Previous involvement in fraud detection, risk assessment, or financial analytics will be advantageous. A Communicator & Collaborator: You excel in bridging communication gaps between technical teams, executives, and regulators, effectively conveying complex AI concepts across various languages and cultures. Why this role Lead a Truly Regional Team: Collaborate with top talents from across Asia to develop AI solutions that cater to the needs of millions of diverse users. Zero Bureaucracy, Maximum Impact: Join a fast-paced environment where results matter; if you can demonstrate effectiveness, you will see your projects come to fruition swiftly. Your Legacy in Fintech: This opportunity is not just a job but a chance to shape your career significantly by leaving a lasting mark on the fintech industry.,

We empower our people to stay resilient and relevant in a constantly changing world. We are looking for individuals who are always seeking creative ways to grow and learn, individuals who aspire to make a real impact, both now and in the future. If this resonates with you, then you would be a valuable addition to our dynamic international team. As a Graduate Trainee Engineer, you will have the opportunity to contribute significantly by: - Designing, developing, and optimizing NLP-driven AI solutions using cutting-edge models and techniques such as NER, embeddings, and summarization. - Building and operationalizing RAG pipelines and agentic workflows to facilitate intelligent, context-aware applications. - Fine-tuning, prompt-engineering, and deploying LLMs (such as OpenAI, Anthropic, Falcon, LLaMA, etc.) for specific domain use cases. - Collaborating with data scientists, backend developers, and cloud architects to construct scalable AI-first systems. - Evaluating and integrating third-party models/APIs and open-source libraries for generative use cases. - Continuously monitoring and enhancing model performance, latency, and accuracy in production environments. - Implementing observability, performance monitoring, and explainability features in deployed models. - Ensuring that solutions meet enterprise-level criteria for reliability, traceability, and maintainability. To excel in this role, you should possess: - A Master's or Bachelor's degree in Computer Science, Machine Learning, AI, or a related field. - Exposure to AI/ML, with expertise in NLP and Generative AI. - A solid understanding of LLM architectures, fine-tuning methods (such as LoRA, PEFT), embeddings, and vector search. - Previous experience in designing and deploying RAG pipelines and collaborating with multi-step agent architectures. - Proficiency in Python and frameworks like Lang Chain, Transformers (Hugging Face), Llama Index, Smol Agents, etc. - Familiarity with ML observability and explainability tools (e.g., Tru Era, Arize, Why Labs). - Knowledge of cloud-based ML services like AWS Sagemaker, AWS Bedrock, Azure OpenAI Service, Azure ML Studio, and Azure AI Foundry. - Hands-on experience in integrating LLM-based agents in production settings. - An understanding of real-time NLP challenges (streaming, latency optimization, multi-turn dialogues). - Familiarity with Lang Graph, function calling, and tools for orchestration in agent-based systems. - Exposure to infrastructure-as-code (Terraform/CDK) and DevOps for AI pipelines. - Domain knowledge in Electrification, Energy, or Industrial AI would be advantageous. Join us in Bangalore and be part of a team that is shaping the future of entire cities, countries, and beyond. At Siemens, we are a diverse community of over 312,000 minds working together to build a better tomorrow. We value equality and encourage applications from individuals who reflect the diversity of the communities we serve. Our employment decisions are based on qualifications, merit, and business requirements. Bring your curiosity and creativity to Siemens and be a part of shaping tomorrow with us. Explore more about Siemens careers at www.siemens.com/careers and discover the digital world of Siemens at www.siemens.com/careers/digitalminds.,

As the Director - Talent Acquisition at Accordion in Hyderabad, Telangana, you will be instrumental in bringing top talent into the company by implementing effective talent acquisition strategies, managing a team of Recruitment Managers, sourcing candidates, and overseeing the talent acquisition process. Your role will involve collaborating with the Senior Leadership Team to align talent planning strategies with business objectives, exhibiting subject matter expertise in technology roles hiring, and contributing to critical roles across the technology domain through behavioural assessments and compensation negotiations. You will lead workforce planning efforts, maintain accountability for evolving headcount changes, and strengthen employer branding initiatives. Additionally, you will represent Talent Acquisition in internal forums, manage internal application tracking systems, oversee data management and reporting responsibilities, and ensure TA compliance management requirements. Furthermore, you will be responsible for managing external vendor relationships, overseeing the offer proposal process, and driving comprehensive offer negotiations. The ideal candidate for this role should possess 8-12 years of experience in similar positions at start-ups or mid-size companies, hold a post-graduate degree from a reputed institute, demonstrate very strong written and verbal communication skills, exhibit strong people management skills and influencing capabilities, and showcase experience in managing people to deliver results in a fast-paced environment. Independent thought leadership, proactive approach, and team-oriented mindset are also crucial attributes for this role. Exploring a career at Accordion offers various benefits, including a high-growth environment with semi-annual performance management and promotion cycles, cross-domain exposure to interesting and challenging work streams, an entrepreneurial environment that fosters intellectual freedom, and a fun culture with a strong peer group. Additionally, full-time employees enjoy benefits such as health and wellness programs, corporate meal card options, team lunches, company-sponsored team outings and celebrations, a robust leave policy, reward and recognition platforms, and a positive and transparent work environment with various employee engagement and benefit initiatives to support personal and professional learning and development. Join Accordion and play a key role in transforming how portfolio companies drive value while enjoying a dynamic and rewarding career in a supportive and growth-oriented environment.,

The Senior ML Engineer role requires deep hands-on experience in AI/ML concepts, with a strong focus on working extensively with AWS and GCP. As a Senior ML Engineer, your key responsibilities will include designing, developing, and deploying machine learning models and algorithms. You will collaborate closely with data scientists and software engineers to seamlessly integrate ML solutions into various products. It is essential to conduct research regularly to keep abreast of the latest advancements in AI/ML technologies. Moreover, you will be responsible for optimizing and scaling ML models to enhance performance and efficiency. Providing technical guidance and mentorship to junior ML engineers will also be a crucial aspect of your role, ensuring their growth and development. Additionally, ensuring the robustness and reliability of ML systems will be a key focus area to uphold the quality and integrity of the solutions delivered. In terms of technical expertise, the ideal candidate should possess a Bachelor's degree in Computer Science, Data Science, or a related field, along with a minimum of 4 years of experience in machine learning and AI. Proficiency in AWS and GCP cloud services is essential for this role. Strong programming skills in Python or similar languages are required, along with experience working with ML frameworks such as TensorFlow, PyTorch, or similar tools. The ability to thrive in a dynamic, young environment with intercultural aspects is also crucial for success in this role.,

As a Data Scientist_VIS at Viraaj HR Solutions, you will play a crucial role in analyzing complex datasets to derive actionable insights and develop predictive models to address various business challenges. Your responsibilities will include collaborating with cross-functional teams to define data requirements, creating data visualizations and dashboards for effective presentation of findings, and conducting statistical analysis to identify trends and patterns. Additionally, you will be utilizing machine learning algorithms for data prediction, designing and maintaining databases to store large datasets, and gathering and preprocessing data for analysis. It will be essential for you to identify opportunities for process improvement based on data insights, ensuring data quality and accuracy throughout data handling processes, and supporting the implementation of data-driven strategies within the organization. To excel in this role, you should hold a Bachelor's or Master's degree in Data Science, Statistics, or a related field, along with proven experience as a Data Scientist or in a similar capacity. Strong programming skills in Python or R, experience with SQL databases and querying, and familiarity with big data technologies like Hadoop or Spark will be advantageous. Moreover, your expertise in machine learning algorithms, data visualization tools such as Tableau or Power BI, and statistical analysis techniques will be critical for success. As a valued member of our team, you will have the opportunity to work on big data technologies to enhance data processing capabilities, stay updated with the latest data science trends and technologies, and collaborate on research projects to explore innovative solutions. Your role will also involve mentoring junior data scientists and interns, necessitating exceptional analytical skills, attention to detail, and strong communication abilities to convey complex data insights to non-technical audiences effectively. If you possess skills in predictive modeling, team collaboration, cloud computing, data analysis, project management, problem-solving, and data quality assurance, along with a passion for continuous learning and adaptation in a fast-paced environment, we encourage you to apply. Join us in leveraging data management best practices and shaping the future of data science at Viraaj HR Solutions.,

A career within Actuarial Services will provide you with the opportunity to contribute general insurance advice and consulting services to clients such as insurers, banks, regulators, and third-party administrators. You will provide advice covering solvency, economic capital, risk management, mergers and acquisitions, company restructuring and risk control, financial modeling, underwriting, new legislation, and the efficiency of claims or reporting processes. Simply put, you might help analyze the impact that new regulation will have on an insurance company's balance sheet or you could be revising business projections and making sure they have adequate reserves. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this, we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies, and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. Responsibilities As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: - Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. - Delegate to others to provide stretch opportunities, coaching them to deliver results. - Demonstrate critical thinking and the ability to bring order to unstructured problems. - Use a broad range of tools and techniques to extract insights from current industry or sector trends. - Review your work and that of others for quality, accuracy, and relevance. - Know how and when to use tools available for a given situation and can explain the reasons for this choice. - Seek and embrace opportunities that give exposure to different situations, environments, and perspectives. - Use straightforward communication, in a structured way, when influencing and connecting with others. - Able to read situations and modify behavior to build quality relationships. - Uphold the firm's code of ethics and business conduct. - Help contribute to the development of GenAI solutions, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, AI agents, and multi-agent systems (MAS). - Apply econometric modeling techniques such as generalized linear models (GLMs), time series analysis, and semi-parametric models (e.g., fractional response models). - Utilize machine learning models including XGBoost, random forests, and support vector machines. - During the development, validation, and monitoring of models, ensure compliance with model-related regulatory requirements and standards such as SR 11-7, Colorado SB21-169, NIST, ISO 42001, and the NAIC Model Bulletin. - Experience with programming languages and environments such as Python, R, Databricks, and React. - Enforce DevOps best practices, including version control (Git), CI/CD, test automation, infrastructure as code, system monitoring, and cross-functional collaboration. - Design, develop, and deploy AI models in real-world client and business environments. - Monitor and research emerging AI trends, fostering an agile, forward-looking development environment. - Support project delivery and work with clients to process structured and unstructured data to improve business processes, workflows, and decision-making. - Support the documentation and technical analysis efforts for validators, auditors, and regulators; clearly communicate complex concepts to non-technical stakeholders. - Work with cross-functional teamsdata engineers, architects, and data scientiststo deliver efficient, high-quality solutions aligned with client needs. - Support business development efforts, including the technical sales cycles and the client proposal process. - Support the development of internal GenAI assets and foundational capabilities to grow the firm's practice. Qualifications Minimum Educational Qualifications: A degree in statistics, mathematics, electrical engineering, physics, econometrics, computer science, or another related technical field. Credentials - Good To Have A master's degree or PhD in a related field from a premium institute is preferred but is not required. Min years of Experience Requirement (Credential) - 3-4 years,