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The Applications Development Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements Identify and analyze issues, make recommendations, and implement solutions Utilize knowledge of business processes, system processes, and industry standards to solve complex issues Analyze information and make evaluative judgements to recommend solutions and improvements Conduct testing and debugging, utilize script tools, and write basic code for design specifications Assess applicability of similar experiences and evaluate options under circumstances not covered by procedures Develop working knowledge of Citi’s information systems, procedures, standards, client server application development, network operations, database administration, systems administration, data center operations, and PC-based applications Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 1-4 years of relevant experience Experience in programming/debugging used in business applications Working knowledge of industry practice and standards Comprehensive knowledge of specific business area for application development Working knowledge of program languages Consistently demonstrates clear and concise written and verbal communication Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Job Summary : We are looking for a Junior Data Scientist to join our dynamic team. The ideal candidate will have a strong foundation in data analysis, statistical modeling, and machine learning. You will work closely with senior data scientists and other stakeholders to analyze data, build predictive models, and derive actionable insights to support business decisions. Key Responsibilities : Collect, clean, and preprocess data from various sources. Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Develop and implement statistical models and machine learning algorithms. Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. Visualize data and present findings to stakeholders using tools like Matplotlib, Seaborn, or Tableau. Assist in the deployment and monitoring of machine learning models in production. Stay up-to-date with the latest developments in data science and machine learning. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting Show more Show less

All Posting Locations: Ahmedabad, Gujarat, IN Job Functions: Global Business Services Date Published: May 14, 2025 Ref#: R-92872 ABOUT THE ROLE Job Description Job Title: Data Scientist – Operations Location: Kraft Heinz Global Capability Center (GCC), Ahmedabad About Kraft Heinz: At Kraft Heinz, we are revolutionizing the food and beverage industry by leveraging data and innovation to deliver exceptional value to our customers. Our Global Capability Center (GCC) in Ahmedabad serves as a critical hub for operational excellence, driving efficiency and innovation across the organization. Role Overview: The Data Scientist – Operations will play a key role in transforming operational processes through advanced analytics and data-driven decision-making. This role focuses on optimizing supply chain, manufacturing, and overall operations by developing predictive models, streamlining workflows, and uncovering insights to enhance efficiency and reduce costs. Key Responsibilities: 1. Advanced Analytics and Data Modeling: Develop predictive models for demand forecasting, inventory optimization, and supply chain resilience. Leverage machine learning techniques to optimize production schedules, logistics, and procurement. Build algorithms to predict and mitigate risks in operational processes. 2. Operational Efficiency: Analyze manufacturing and supply chain data to identify bottlenecks and recommend process improvements. Implement solutions for waste reduction, cost optimization, and improved throughput. Conduct root cause analysis for operational inefficiencies and develop actionable insights. 3. Collaboration with Stakeholders: Partner with operations, supply chain, and procurement teams to understand analytical needs and deliver insights. Collaborate with IT and data engineering teams to ensure data availability and accuracy. Present findings and recommendations to non-technical stakeholders in an accessible manner. 4. Data Management and Tools: Work with large datasets to clean, preprocess, and analyze data Location(s) Ahmedabad – Venus Stratum GCC Kraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes .

We are looking for a passionate and skilled AI/ML Engineer with 1–3 years of hands-on experience in computer vision and conversational AI. The ideal candidate should have a strong foundation in machine learning, experience training custom object detection models (especially using YOLO), and working knowledge of OpenCV and AI/ML frameworks. Exposure to OpenAI's ChatGPT and chatbot development is essential. Any experience in AR/VR will be considered a plus. Key Responsibilities: Train and deploy custom object detection models using YOLO (v5/v7/v8 or YOLO-NAS) on custom datasets. Preprocess and annotate data for training using tools like Roboflow or CVAT. Implement and optimize object detection pipelines using OpenCV . Develop, fine-tune, and integrate AI chatbots using OpenAI's ChatGPT API or similar LLMs. Work with basic ML algorithms for classification, clustering, and regression tasks. Collaborate with cross-functional teams to design, test, and deploy AI solutions. Explore integration of AI solutions into AR/VR environments (basic knowledge sufficient). Maintain and improve model performance through continuous training and validation. Stay up-to-date with the latest trends and advancements in AI/ML. Required Skills: Strong understanding of YOLO object detection models and custom training pipelines. Proficiency in OpenCV for image processing and real-time applications. Experience with OpenAI's GPT models and chatbot development . Solid understanding of basic ML algorithms (e.g., decision trees, SVM, k-NN). Good programming skills in Python . Familiarity with AI/ML frameworks such as: TensorFlow PyTorch ONNX Runtime Scikit-learn Knowledge of tools like Roboflow, LabelImg, or FiftyOne. Git version control and experience working in agile environments. Preferred (Good to Have): Exposure to AR/VR technologies (Unity, Unreal, WebXR, etc.). Experience in deploying models to edge devices (e.g., Raspberry Pi , NVIDIA Jetson Job Types: Full-time, Permanent Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹30,000.00 per month Benefits: Flexible schedule Paid sick time Schedule: Day shift Monday to Friday Morning shift Experience: AI ML: 1 year (Required) Location: Mohali, Punjab (Required) Work Location: In person

About the job Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business outcomes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the multibillion-dollar CK Birla Group, Birlasoft, boasting a team of 12,500+ professionals, is committed to carrying forward the Group's illustrious 162-year legacy. At our core, we prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, ensuring our commitment to building not just businesses but inclusive and sustainable communities. Join us in shaping a future where technology aligns seamlessly with purpose. Gen AI LLM Data science· Must have 6+ years of experience working in Data science, Machine learning and especially NLP technologies.· Exposure to various LLM technologies and solid understanding of Transformer Encoder Networks.· Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence.· Utilize your extensive knowledge and expertise in machine learning (ML) with a focus on generative models, including but not limited to generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based architectures.· Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment.· Very good understanding of Prompt engineering techniques in developing Instruction based LLMs.· Must be able to design, and implement state-of-the-art generative models for natural language processing (NLP) tasks such as text generation, text completion, language translation, and document summarization.· Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs.· Passionate to learn and stay updated with the latest advancements in generative AI and LLM.· Nice to have -contributions to the research community through publications, presentations, and participation in relevant conferences or workshops.· Evaluate and preprocess large-scale datasets, ensuring data quality and integrity, and develop data pipelines for training and evaluation of generative models.· Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed.· Exposure to developing Guardrails for LLMs both with open source and cloud native models. · Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance.· Nice to have- provide guidance to junior data scientists, sharing expertise and knowledge in generative AI and LLM, and contribute to the overall growth and success of the data science team.

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more careers.bms.com/working-with-us . Summary The Real-World Data (RWD) Analyst will play a critical role within BIA Hyderabad. This specialized position focuses on analyzing and deriving insights from real-world data sources to generate evidence and support decision-making across the organization. The RWD Analyst will leverage a variety of RWD and evidence analytics techniques to contribute to research, clinical development, market access, and post-marketing activities. Roles & Responsibilities - Collaborate with cross-functional teams, including researchers, clinicians, market access and regulatory stakeholders, to understand data needs and objectives for RWD analysis Identify relevant real-world data from various sources, such as electronic health records (EHRs), claims databases, registries and other healthcare databases Clean, transform and preprocess real-world data to ensure data quality, consistency and compatibility for analysis Apply appropriate statistical techniques to analyze real-world data and generate insights on research questions or business objectives Partner with senior analysts to conduct observational studies, comparative effectiveness research (CER), patient outcomes research and other types of RWD analysis to evaluate treatment outcomes, safety profiles and healthcare utilization patterns Partner with senior analysts to develop and implement data analysis plans, including study designs, statistical methodologies and modelling approaches Interpret and communicate findings from RWD analysis through reports, presentations and visualizations to stakeholders Partner with senior analysts to collaborate with internal and external teams to design RWD studies, including protocol development, data collection and analysis Stay updated and compliant with the regulatory landscape related to real-world data analysis Contribute to the development and implementation of RWD strategies and best practices within the organization Skills and competencies Strong understanding of real-world data sources, such as electronic health records, claims databases, registries and other healthcare databases Proficiency in data pre-processing, cleaning and transformation techniques to ensure data quality and compatibility for analysis Knowledge of relevant statistical methodologies, including propensity score matching, survival analysis and regression models, for real-world data analysis Solid problem-solving skills and the ability to derive meaningful insights from complex real-world data sets Solid communication and presentation skills to effectively convey complex concepts and findings Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously Strong attention to detail and accuracy in data analysis and interpretation Experience - A Bachelor's or Master's degree (preferred) in a relevant field, such as Biostatistics, Epidemiology, Health Informatics or a related discipline Minimum 2-3 years experiencedemonstrated in real-world data analysis, preferably within the biopharma or healthcare industry Experience applying statistical and analytical techniques, such as observational study design, CER, patient outcomes research, and data modelling, to analyze real-world data Proficiency in R or SAS and SQL required Working knowledge of data visualizationtools, such as Tableau or Power BI, is desirable Working knowledge and familiarity with relevant statistical methodologies and study designs used in real-world data analysis Experience or familiarity with the biopharma industry or healthcare domains is preferred If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information https //careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

About the Role: Take your software engineering career to the next level as a Senior Product Software Engineer. You will play a key role in designing, developing, and troubleshooting software programs. Your technical skills and innovative mindset will contribute to the continuous improvement of our products, making a significant impact on user experience and satisfaction. Responsibilities: Take the lead in designing, developing, and maintaining complex software applications to meet project requirements. Collaborate with cross-functional teams to define design specifications and details, taking into account diverse perspectives. Regularly communicate project updates, progress, and challenges to stakeholders and team members. Prepare detailed technical specifications and requirements documents to guide the development process. Identify bottlenecks and optimize software programs to improve overall performance and efficiency. Lead the design of innovative and user-friendly software applications that align with customer needs and industry standards. Create comprehensive testing routines and procedures to ensure the reliability and accuracy of software applications. Utilize mathematical principles and statistical approaches to solve intricate problems in scientific or applied fields within software projects. Collaborate with others to troubleshoot and resolve complex information technology issues that may arise during development. Prepare and preprocess data for analysis, ensuring its accuracy and readiness for use in software applications. Offer technical support to end-users, providing assistance for software maintenance, troubleshooting, and usage queries. Skills: Software Engineering: The ability to design, develop, and maintain software systems and applications by applying principles and techniques of computer science, engineering, and mathematical analysis. This includes the capacity to understand user requirements, create and test the software, and resolve any software-related issues. Software Development: The ability to design, write, test, and implement software programs, applications, and systems. This includes understanding various programming languages, software architecture, and software testing methods. It also involves problem-solving capabilities to fix software issues and improve functionality. Programming: The ability to design, write, test, debug, and maintain the instructions, also known as code, that a computer must follow to execute a task. This skill often involves various programming languages such as Python, Java, or C++. Problem Solving: The ability to understand a complex situation or issue and devise a solution by defining the problem, identifying potential strategies, and ultimately choosing and implementing the most effective course of action. Analysis: The ability to examine complex situations or problems, break them down into smaller parts, and understand how these parts work together. Testing: The skill of evaluating a system or process, often in software or product development. It involves the ability to identify problems, measure effectiveness, and ensure quality or functionality. Agile: The ability to swiftly and effectively respond to changes, with an emphasis on continuous improvement and flexibility. In the context of project management, it denotes a methodology that promotes adaptive planning and encourages rapid and flexible responses to changes. Source Code Repository: The ability to effectively use a source code repository, a file archive and web hosting facility where a large amount of source code, for software or for web pages, is kept, either publicly or privately. This skill involves the ability to manage and track changes to code, identify and fix issues, merge code from different branches, and collaborate with other developers. Relational Database: The ability to design, implement, and manipulate a relational database, a type of database that stores and organizes data in a structured way and where data is logically inter-related. This skill often requires proficiency in SQL, database management systems, and understanding of database design principles. APIs: The ability to design, develop, and manage Application Programming Interfaces, which constitute the set of protocols and tools used for building application software. This skill includes the capacity to create and maintain high-quality API documentation, implement API security practices, and understand API testing techniques. Additionally, having this ability means understanding how APIs enable interaction between different software systems, allowing them to communicate with each other. Design: The ability to create, conceptualize, sketch, and implement layouts, structures, and plans either for aesthetic or functional purposes. This could be used in various contexts such as architecture, fashion, graphics, interior and more. It involves creativity, problem-solving and strategic thinking. Framework: The ability to understand, utilize, design and develop complex structures and systems in various contexts such as programming, project management or business strategy. This ability requires critical thinking, problem-solving skills and attention to details. Documentation: The ability to create, manage, organize, and maintain important information and documents in various physical and digital formats. This skill may include preparing reports, managing files, storing data, and keeping records organized and updated for easy retrieval and understanding. Competencies: Inclusive Collaboration Analytical skills Drive to perform Accountability Functional Expertise Operational Excellence Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Job description: Data Analytics Technical Project Management About the Team: We are enhancing the technical Project management of our Advanced Braking Systems Teams in the area Commercial Vehicles at the location in Chennai. What you can look forward to as Data Analytics in Technical Project Management (m/f/d): • Create, deploy, and operate Data Analyst Solutions as part of our technical Project Management Team in the context of a cross-functional, agile product team • Develop data-driven services to improve our technical Project Management during Planning, Coordination, and reporting of technical projects • Become a key contact person for data related issues regarding analysis and optimization of our technical Project management processes • Usage of Databank (e.g., PTC integrity, SAP, cplace, Codebeamer) information for reports and visualization • Continuously monitor new developments in the expert field and connect with the internal and external data science community as well as external technology providers, universities etc. • Ideally some years of professional experience in the field of statistics, working as a Advanced Data Analyst with strong data engineering and Visualization skills. • Experience with big data analyses and Databases for data collection will be an advantage Your profile as Data Analytics in Technical Project Management (m/f/d): • Very strong and deep knowledge of Python and relevant libraries for automation and other purposes. • Very strong knowledge of Data analyzing, Data cleaning and other data preprocess as a part of Data Analyst • Very strong and deep knowledge in Visualization Tools such as Power BI , Power App, Power Automate and Tableau for Interactive Dashboard creation • Very strong and deep knowledge of handling various data related tools such as Power Query, DAX Query & Automation of Reports, python scripts from various Data Sources using tools such as Jenkins, SQL • Good knowledge of JIRA software tool with SCRUM framework, AGILE framework & Good knowledge of Share point concept, Share point list etc., • Deep understanding of Bringing Actionable insights from raw data to Dashboard as well as monitoring, troubleshooting, and maintaining existing dashboards and data science solutions & Hands-on Experience in Data Mining, Feature Engineering Why should you choose ZF Group in India? Innovative Environment: ZF is at the forefront of technological advancements, offering a dynamic and innovative work environment that encourages creativity and growth. Diverse and Inclusive Culture: ZF fosters a diverse and inclusive workplace where all employees are valued and respected, promoting a culture of collaboration and mutual support. Career Development: ZF is committed to the professional growth of its employees, offering extensive training programs, career development opportunities, and a clear path for advancement. Global Presence: As a part of a global leader in driveline and chassis technology, ZF provides opportunities to work on international projects and collaborate with teams worldwide. Sustainability Focus: ZF is dedicated to sustainability and environmental responsibility, actively working towards creating eco-friendly solutions and reducing its carbon footprint. Employee Well-being: ZF prioritizes the well-being of its employees, providing comprehensive health and wellness programs, flexible work arrangements, and a supportive work-life balance.

Location: Bangalore - Karnataka, India - EOIZ Industrial Area Worker Type Reference: Regular - Permanent Pay Rate Type: Salary Career Level: T3(A) Job ID: R-44950-2025 Description & Requirements Experience Level: 3-6 Years Education Level: BE/B.Tech/ME/ M.Tech (CS or ECE) B.Tech/M.Tech in Electronics/Computer Science At least 4 years work experience (B.Tech/MTech) in Computer Vision/Image Processing/Signal Processing/Machine Learning Candidate need to work form SRIB Bangalore with 3 days working from office is mandatory We are seeking a highly motivated and talented Data Scientist to join our dynamic team. This role is ideal for individuals with 3-6 years of experience who are passionate about machine learning, data science, and artificial intelligence. The successful candidate will work closely with our experienced engineers and data scientists to develop, implement, and improve machine learning models and algorithms that drive our products and services. Job Requirements Strong fundamentals in Signal Processing/Computer Vision, Machine Learning, Deep Learning Strong proficiency in python , C++ , Linux Fluency in data structures, algorithms Knowledge of embedded realization of ML models is a plus Prior experience with Deep learning frameworks such as Tensorflow/Pytorch Assist in the design, development, and implementation of machine learning models and algorithms. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Preprocess and analyze large datasets to extract meaningful insights and patterns. Perform data cleaning, feature engineering, and data augmentation to improve model performance. Conduct experiments to test hypotheses and evaluate the performance of different machine learning approaches. Implement and optimize machine learning pipelines for efficiency and scalability. Deploy machine learning models into production environments and monitor their performance. Document methodologies, processes, and results to ensure reproducibility and knowledge sharing. Stay up to date with the latest advancements in machine learning and related technologies. Job Description Use innovative ideas to continuously improve the solution to take them to the end-user Extensive quality evaluation and regression testing of the developed solution to meet strict quality guidelines Actively participate in design discussions to enhance end-to-end development of the solution Follow strict agile practices with regular code reviews, etc Excellent problem-solving skills and ability to think critically and creatively. Strong communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Internship or project experience related to machine learning or data science. A project portfolio with multiple real life projects (pet projects are welcome) Important Notice: Recruitment Scams Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com' email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in '@harman.com' about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com. HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Job Summary Individuals in this role are responsible for first level processing of loans ordersrequests and claims across the loan servicing life cycle The associate is expected to process items accurately and optimally in accordance with laid down procedures and maintain requisite standards of quality and productivity Responsibilities I Position Summary Individuals in this role are responsible for first level processing of loans ordersrequests and claims across the loan servicing life cycle The associate is expected to process items accurately and optimally in accordance with laid down procedures and maintain requisite standards of quality and productivity Knowledge on Loan Servicing and components Escrow and NonEscrow loans Familiar with key topics like new loan set up flood determination Mortgage Insurance tax Investor reporting document indexing imaging and retrieval II Key Result Areas Processing loansordersrequests or claims as assigned by Team Lead Achieve Individual SLA targets for metrics like Accuracy Productivity Volumes and TAT Adherence to the procedures provided by the business also called SOP Standard Operating Procedure Completion of all mandatory assessment certifications as applicable to the supported business Achieve the required Learning Health Score III Typical Responsibilities Business Customer Liaise with internal external clients Seek for approvals from internal stake holders wherever required ProjectProcess First level processing of assigned transactions on any of the following types o Quality review appraisal review BPO review title review o Verification o Information setup Loan setup escrow setup Mod setup claim setup o Updating of information 5 BPS Horizontals Service Delivery Track o Assignment of work appraisal title closing orders other vendor assignment o Research of missing docs subordination escrow tax claims mods o Execution of processing transactions Ability to identify and understand various terminologies used in US Mortgage Mortgage lien parcel services escrow and Non Escrow types of loans Knowledge to clearly identify the various functions in a Mortgage Value Chain Knowledge on generating reports handling payments processing nonsufficient fund requests perform research on loan accounts and handle exceptions Follow the work instruction documentSOP to process all tasks and activities Process the work in workflow tools as available Ensure adherence to QC checklists Seek clarifications from SPESME where needed Inform SMESupervisor in case of updates or changes to process Perform regular maintenance tasks and complete the task before winding up the day People Team Complete the mandatory training programs Participate in the Preprocess orientation process Capture productivity nonproductivity hours in specific tools as made available Actively participate and contribute to team initiatives regular team meetings presenting of thoughts Ideas etc IV Degree of IndependenceSupervision required Performs assigned duties according to specific procedures Complex problems proceduresprocesses are referred to the respective SOP supervisor Work product is reviewed closely for accuracy V Team Management Responsibilities NA VI Qualification Education Graduate MBA Minimum Experience required 0 to 1 year experience in BPO Transaction Data Processing background Mortgage Voice skills if needed VII Additional Info While performing the essential functions of this job the associate is required to remain in a stationary position standing or seated use a computer keyboard and view data on a computer screen for up to 95 of their work hours or shift VIII Entry and Exit Criteria

This role is for one of the Weekday's clients Min Experience: 5 years Location: Hyderabad JobType: full-time We're looking for an experienced and detail-oriented AWS DevOps Engineer to join our team and lead the deployment and optimization of scalable infrastructure and AI/ML solutions in a cloud-native environment. The ideal candidate will have a strong background in AWS services, DevOps practices, and cloud-based AI/ML deployments. Requirements Key Responsibilities: Design, implement, and manage cloud infrastructure using a broad range of AWS services such as EC2, Lambda, API Gateway, EKS, Auto Scaling, S3, RDS, CloudFront, VPC, CloudWatch, and more. Lead deployment and lifecycle management of AI/ML models using AWS Bedrock, SageMaker, and other relevant tools. Apply DevOps best practices including CI/CD pipelines (e.g., Jenkins) and infrastructure as code. Monitor infrastructure and optimize performance, availability, and cost efficiency using tools like ECS and CloudWatch. Implement robust logging and monitoring solutions to ensure traceability and operational insight for deployed models. Manage and preprocess data to ensure high-quality inputs for machine learning workflows. Perform data validation and cleansing to uphold data integrity across pipelines. Ensure all systems comply with security and data protection regulations; proactively manage risks and vulnerabilities. Ideal Candidate Will Have: Minimum 5 years of hands-on experience in DevOps, SysOps, and cloud architecture within AWS environments. Deep expertise in AWS services and infrastructure management. Proven experience with CI/CD tools and methodologies. AWS Certification (Associate or Professional level) is required. Strong analytical and troubleshooting skills with a high attention to detail. Excellent communication and collaboration skills in cross-functional team environments. Familiarity with cost and performance optimization for AI/ML workloads on AWS. Strong grasp of data security, compliance, and governance in cloud environments. Key Skills: AWS DevOps, AWS Bedrock, SageMaker, CI/CD, Jenkins, Infrastructure as Code, AI/ML Deployment, Cloud Monitoring, Data Management, Security Compliance

DXFactor is a US-based tech company working with customers across the globe. We are a Great place to work with certified company. We are looking for candidates for Data Scientist (3-6 Yrs exp) We have our presence in:USIndia (Ahmedabad, Bangalore) Location: Ahmedabad (work from office)Website: www.DXFactor.com Designation: Data Scientist (3-6Yrs exp) Key Responsibilities Design, develop, and implement end-to-end data science pipelines Gather, clean, and preprocess data from various sources Build, train, and evaluate machine learning models using appropriate algorithms Design and optimize prompts for large language models (LLMs) and other generative AI systems Develop solutions leveraging Agnetic GenAI architecture for business applications Deploy models to production environments and monitor their performance Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions Document processes, methodologies, and results Stay up-to-date with the latest trends and advancements in data science and machine learning Requirements Bachelor's degree in Computer Science, Statistics, Mathematics, or related field (Master's preferred) Minimum 3+ years of professional experience in data science or related roles Strong proficiency in Python and data science libraries (pandas, numpy, scikit-learn, etc.) Experience with common machine learning algorithms, including: Decision Trees , Linear/Logistic Regression, Random Forest Other supervised and unsupervised learning methods Demonstrated experience with prompt engineering for LLMs and generative AI models In-depth knowledge of Agentic GenAI architecture and applications Knowledge of deep learning frameworks (TensorFlow, PyTorch) Ability to build APIs using Flask, Django, or FastAPI Familiarity with MLOps practices and tools (MLflow, Kubeflow, etc.) Experience with cloud platforms (AWS, GCP, Azure) Strong analytical and problem-solving skills Excellent communication skills and ability to explain complex concepts to non-technical stakeholders

Position: AI/ML Engineer Location: Bangalore or Coimbatore Experience Required: 2-4 years in AI/ML development Role Overview We are looking for a passionate AI/ML Engineer to contribute to the development of AI-powered applications. The role involves building and deploying machine learning models, ensuring performance optimization, and integrating solutions into production environments. Key Responsibilities Develop and train AI/ML models using frameworks like TensorFlow or PyTorch. Implement generative AI solutions such as RAG, agentic AI systems, document extraction, custom model deployment, summarization, and text generation. Create APIs and microservices to integrate models with applications. Preprocess and clean data for high-quality model inputs. Monitor and troubleshoot deployed models to maintain performance. Collaborate with cross-functional teams to enhance AI workflows. Stay updated on the latest advancements in generative AI and integrate them into projects. Required Skills Solid foundation in ML algorithms and concepts. Proficiency in GenAI frameworks like Amazon Bedrock, SageMaker, Hugging Face, and LangChain. Proficiency in Python and libraries like NumPy, Pandas, and Scikit-learn. Familiarity with RAG frameworks, agentic AI solutions, and generative AI. Skills: bedrock,pandas,amazon bedrock,generative ai,sagemaker,python,ml,langchain,hugging face,algorithms,artificial intelligence,amazon,tensorflow,scikit-learn,agents,machine learning,numpy,pytorch,models

Experience: 4.00 + years Salary: USD 80000.00 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal.Step 2: Complete the Screening Form & Upload updated ResumeStep 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience: 4.00 + years Salary: USD 80000.00 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal.Step 2: Complete the Screening Form & Upload updated ResumeStep 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience: 4.00 + years Salary: USD 80000.00 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal.Step 2: Complete the Screening Form & Upload updated ResumeStep 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience: 4.00 + years Salary: USD 80000.00 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal.Step 2: Complete the Screening Form & Upload updated ResumeStep 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience: 4.00 + years Salary: USD 80000.00 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal.Step 2: Complete the Screening Form & Upload updated ResumeStep 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience: 4.00 + years Salary: USD 80000.00 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal.Step 2: Complete the Screening Form & Upload updated ResumeStep 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience: 4.00 + years Salary: USD 80000.00 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal.Step 2: Complete the Screening Form & Upload updated ResumeStep 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience: 4.00 + years Salary: USD 80000.00 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal.Step 2: Complete the Screening Form & Upload updated ResumeStep 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

KEY ACCOUNTABILITIES Collaborate with cross-functional teams (e.g., data scientists, software engineers, product managers) to define ML problems and objectives. Research, design, and implement machine learning algorithms and models (e.g., supervised, unsupervised, deep learning, reinforcement learning). Analyse and preprocess large-scale datasets for training and evaluation. Train, test, and optimize ML models for accuracy, scalability, and performance. Deploy ML models in production using cloud platforms and/or MLOps best practices. Monitor and evaluate model performance over time, ensuring reliability and robustness. Document findings, methodologies, and results to share insights with stakeholders. QUALIFICATIONS, EXPERIENCE AND SKILLS Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (graduation within the last 12 months or upcoming). Proficiency in Python or a similar language, with experience in frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong foundation in linear algebra, probability, statistics, and optimization techniques. Familiarity with machine learning algorithms (e.g., decision trees, SVMs, neural networks) and concepts like feature engineering, overfitting, and regularization. Hands-on experience working with structured and unstructured data using tools like Pandas, SQL, or Spark. Ability to think critically and apply your knowledge to solve complex ML problems. Strong communication and collaboration skills to work effectively in diverse teams. Additional Skills (Good to have) Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools (e.g., MLflow, Kubeflow). Knowledge of distributed computing or big data technologies (e.g., Hadoop, Apache Spark). Previous internships, academic research, or projects showcasing your ML skills. Familiarity with deployment frameworks like Docker and Kubernetes. #LI-AA6

Responsibilities:Front-End Development: Design and implement user-friendly interfaces for AI applications. Utilize modern web frameworks (e.g., React, Vue.js) to create engaging user experiences. Optimize front-end performance and responsiveness.Back-End Development: Build scalable and efficient backend systems to support AI model deployment. Design and implement RESTful APIs for seamless communication between front-end and back-end. Integrate with cloud platforms (e.g., AWS, Azure) for infrastructure management.AI Model Development: Train and fine-tune state-of-the-art generative AI and LLM models. Leverage deep learning frameworks (e.g., TensorFlow, PyTorch) for model development. Implement efficient inference pipelines for real-time model predictions.Data Engineering: Design and maintain robust data pipelines for model training and evaluation. Preprocess and clean large-scale datasets for optimal model performance. Implement data versioning and monitoring strategies.Preferred Qualifications: Graduate degree in Computer Science, Artificial Intelligence, or a related field. 5+ years of experience in full-stack development. 2+ years of experience in AI model development, particularly with generative AI and LLMs. Strong understanding of machine learning algorithms and natural language processing. Proficiency in Python and relevant AI frameworks (e.g., TensorFlow, PyTorch). Skills: Excellent communication and collaboration skills. Ability to work independently and in a team environment. Passion for staying updated with the latest advancements in AI. Bonus Points: Experience in the Biopharma industry. Experience with model optimization techniques (e.g., quantization, pruning). Contributions to open-source AI projects. Publications in relevant AI conferences or journals.

Summary To provide data science and quantitative analytical support for PS&PV by ensuring timely delivery of high-quality reports to meet regulatory requirements, enable medical safety analysis and monitor safety profile of Novartis products. Build capabilities to leverage the Science of data to enhance safety surveillance, case management and delivery of management metrics. These tasks are to be performed independently. Responsible for independently managing small to medium Projects. About The Role Major Accountabilities: Role ▪ Engineer key analytical insights into simple, intuitive, and well-designed tools and ser vices tailored for each role and process in areas such as: aggregate analysis and reports including PSUR, DSUR, PQR, APR and audit/inspec- tion related outputsPV leaning analyticsbudget forecastingresource allocation and vendor management supportpatient focused protocol design and reported outcome.risk-based operational monitoring of country operationsdetecting data anomalies, outliers and procedural errorssignal detectiontrack the business’s performance against data analysis model and monitor trends in key business KPIs, providing valuable insights to relevant departments for overall business performance improvement. Provide solutions for a variety of business applications including but not limited to:Customer Segmentation & Targeting, Event Prediction, Propensity Modelling, Churn Modelling, Customer Lifetime Value Estimation, Forecasting, Recommender Systems, Modelling Response, OptimizationCollaborates with globally dispersed internal stakeholders and cross-functional teams to solve critical business problems, drive operational efficiencies, and deliver successfully on high visibility strategic initiatives.Interact with domain experts to understand the data and the business challenges and design solutions to the challenges using data.Ability to translate business questions into analytical problems and build solutions using visualization techniques, machine learning, statistical modeling.Independently manage small to medium projects.Ability to provide understandable and actionable business intelligence for key stakeholders.Research and develop new algorithms, methods, statistical models and business models and providing insight into structured and unstructured data.Working with the internal process experts and key stakeholders in providing analysis and interpretation of safety/PV data.Is responsible in creation of new data sciences capabilities for the business by envisioning and executing strategies that will influence improvement of the business’s performance by enabling informed decision making.Collaborate with partners in IT and Development functions to improve the availability of data (near-real time data flows) and data quality as required for high quality, innovative, analytical/ technical solutions.Bring in efficiency with innovative solutions; effective usage of new technologies and con- cepts; developing new analysis opportunities by integrating existing and new data sources.Continuously monitor external environment to ensure that the organisation can leverage key developments in data science and AI.Lead the design and oversees the development of predictive and data-driven solutions (for ex: SafetyReporting tool) and services to ensure drug, device, trial and patient level benefit/risk information is available proactively for safety analysis, signal detection and risk management.Manage timely delivery of high quality PV& Medical safety listing, analysis and data and ensure compliance with health authority regulations.Supports and represents Dats Science team in regulatory inspections/audits, as and when required.Should mentor and coach data science leads, by guiding them through the execution of their duties, and encouraging their professional growth in preparation for their occupation of his position in future.Act as deputy of Sr. Manager Data Science and AI/Head Data Science/Head Data Analytics as and when needed. Minimum Requirements Masters/Bachelor’s Degree in Data Science, Statistics, Math- ematics, Operations Research, Engineering (Biotech, Com- puter Science, Information Technology), Pharmaceutical, Life Science or similar field. MBA/PhD from reputed institutes can also apply.10-15 years of experience in Data Science related fields with specific experience of producing Key Performance Indicators or similar monthly reports for Senior Management and build- ing statistical models for addressing business issues1-3 years of Pharma, CRO, Life Science experience would be preferred.Hands on technical expertise in at least 1 of : Machine Learning, Deep Learning, Text Mining and Natural Language Processing, Time Series, Image processing, Neural Networks.Ability to work independently to be able to design, develope code and manage algorithms / Machine Learning models in Python/R/JavaAdvance level skills in Python/ R is a must, and working knowledge in SQL - ability to write and understand queries and extract complex datasets and produce reports from Databases (including Oracle, SAS, non-relational databases)Pharmacovigilance/Clinical operations domain expertice.Ability to translate technical concepts for non-technical users in the areas of clinical databases (both internal and external).Extensive experience in working with large-scale datasets (in big data architecture, data lake, data mart, data warehouse) and be able to preprocess the data as per the requirement.Ability to work in teams, manage and coordinate projects, under pressure, demonstrating initiative and flexibility through effective and innovative technical ability.Interpersonal and communication skills, and ability to operate effectively in a matrix environmentAttention to detail, quality, time management and customer focus Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards