2627 Data Science Jobs - Page 41

Minimum of 10+ years in development, testing and deployment of React, JavaScript, Python based applications on Azure/AWS platforms Extensive experience with frontend and backend technologies to develop AI/GenAI applications. Software development experience in REACT, JavaScript/TypeScript, Python, FastAPI/Flask/Django is needed for UI based applications. Must have experience in building production grade application with frontend & backend technologies like HTML, JavaScript, REACT, Python etc. Deep understanding of architecture and work experience on Web Technologies Python, SQL hands-on experience Expertise in any popular python web frameworks e.g. flask, Django etc.

Minimum 3-4 years of relevant experience in building robust and scalable design Proficiency in UX design tools such as Figma, Sketch, Adobe XD, or InVision for creating wireframes, prototypes, and user flows. Ability to create and interpret personas, user journey maps, and task analysis to inform design decisions. Proficiency in designing intuitive, accessible, and responsive interfaces that comply with WCAG accessibility standards.

4+ years of professional experience working with mobile app development Strong in-depth knowledge of iOS SDK, device APIs, React Native 4+ years of experience in iOS mobile app development for both mobile and iPad Expertise in Publishing mobile applications to Enterprise (internal) app stores Expertise with Git source control Excellent communication, the individual should be able to steer direct communication (oral & written) with the customer. Good command of functional or object-oriented programming Proficient in developing clean and well-documented JavaScript code Expertise in working with third-party dependencies and debugging dependency conflicts Good experience working on complex systems Strong knowledge of REST APIs, the document request model, and offline storage Familiar with automated testing suites such as Jest etc. Ability to work on difficult React Native issues and contribute to libraries as required should be able to deploy the app to the Appstore.

Minimum 12+ years of relevant experience in building software applications in data and analytics field Enhance the go-to-market strategy by designing new and relevant solution frameworks to accelerate our clients’ journeys for impacting patient outcomes. Pitch for these opportunities and craft winning proposals to grow the Data Science Practice. Build and lead a team of data scientists and analysts, fostering a collaborative and innovative environment. Oversee the design and delivery of the models, ensuring projects are completed on time and meet business objectives. Engaging in consultative selling with clients to grow/deliver business. Develop and operationalize scalable processes to deliver on large & complex client engagements. Extensive hands-on experience with Python, R, or Julia, focusing on data science and generative AI frameworks. Expertise in working with generative models such as GPT, DALL-E, Stable Diffusion, Codex, and MidJourney for various applications. Proficiency in fine-tuning and deploying generative models using libraries like Hugging Face Transformers, Diffusers, or PyTorch Lightning. Strong understanding of generative techniques, including GANs, VAEs, diffusion models, and autoregressive models. Experience in prompt engineering, zero-shot, and few-shot learning for optimizing generative AI outputs across different use cases. Expertise in managing generative AI data pipelines, including preprocessing large-scale multimodal datasets for text, image, or code generation.

Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on UI Software development experience in REACT, JavaScript/TypeScript, python is needed as frontend and backend for UI based applications Be a part of large delivery teams working on advanced projects when expert assistance is required. Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production. Create Technical documents, develop, test, and deploy data analytics processes using REACT, Python, SQL on Azure/AWS platforms Can interact with client on GenAI related capabilities and use cases Must have Skills: Minimum of 4-6 years develop, test, and deploy React, JavaScript, Python based applications on Azure/AWS platforms Must have experience in building production grade application with frontend & backend technologies like HTML, JavaScript, REACT, Python etc. Deep understanding of architecture and work experience on Web Technologies Python, SQL hands-on experience Expertise in any popular python web frameworks e.g. flask, Django etc. Basic knowledge on concepts of Generative AI / LLMs / GPT will be beneficial

Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT Software development experience in python is needed as backend for UI based applications Be a part of large delivery teams working on advanced projects when expert assistance is required. Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production. Create Technical documents, develop, test, and deploy data analytics processes using Python, SQL on Azure/AWS platforms Can interact with client on GenAI related capabilities and use cases Must have Skills: Minimum of 3-5years develop, test, and deploy Python based applications on Azure/AWS platforms Must have basic knowledge on concepts of Generative AI / LLMs / GPT Deep understanding of architecture and work experience on Web Technologies Python, SQL hands-on experience Expertise in any popular python web frameworks e.g. flask, Django etc. Familiarity with frontend technologies like HTML, JavaScript, REACT

Job TitleSenior RWE Manager Job Location-Hyderabad/Gurugram Job Responsibilities- Develop and execute comprehensive RWE strategies by leading the end-to-end process of study conceptualization, including protocol development, statistical analysis planning, and implementation of complex observational studies utilizing advanced epidemiological methods. Lead teams in designing and implementing sophisticated cohort identification algorithms using structured and unstructured data, and direct large-scale data projects using multiple real-world data sources by overseeing data extraction, cleaning, and standardization while ensuring compliance and data reproducibility. Guide the implementation of advanced statistical methods for confounding control and bias mitigation and oversee the development and validation of models for patient stratification, treatment response prediction, and adverse event detection. Develop and maintain strategic partnerships with external stakeholders (key opinion leaders, data vendors, technology partners) while leading the evaluation and selection of fit-for-purpose data sources, analytical tools, and platforms. Establish and implement standard operating procedures for the RWE practice, including documentation standards, quality control processes, and validation requirements. Manage direct reports; Coach & Mentor junior team members in advanced analytical methods and oversee the development of reusable analytical frameworks and code libraries. Monitor and optimize project performance metrics (financial, operational, compliance), implement corrective actions, and maintain comprehensive documentation for audits. Qualification- Advanced degree (PhD, MD, PharmD) with focus in biostatistics, epidemiology, or related quantitative field 8-10+ years of hands-on experience in health data science and real-world evidence generation with strong understanding of statistical concepts and methodologies Demonstrated expertise in observational research methodology and causal inference Strong track record of leading complex analytical projects using healthcare databases Experience with regulatory-grade real-world evidence studies Must have Skills: - Advanced programming skills in Python (pandas, numpy, scikit-learn) and R (tidyverse, survival) Expertise in SQL for complex data manipulation in healthcare databases Proficiency in handling claims data (medical, pharmacy), understanding of coding systems (ICD-10, CPT, HCPCS, NDC) and experience with standardized vocabularies (SNOMED, RxNorm, LOINC) Experience with different RWD data sources (Optum, Marketscan, Healtverity, etc) and common data models (OMOP, PCORnet) Demonstrated ability to develop and validate various statistical algorithms Strong knowledge of statistical methods for confounding control and bias mitigation Experience with electronic health record data extraction and processing Expertise in implementing causal inference methods (PS matching, IPTW, g-methods) Behavioural Attributes (1) ability to execute assigned tasks both independently and collaboratively with minimal supervision (2) Proactiveness in identifying solutions to challenges (3) Growth mindset demonstrated through intellectual curiosity, critical thinking, and a drive for collective business success. Skills that give you an edge- Knowledge of distributed computing platforms (Spark, Hadoop) Expertise in natural language processing for unstructured EHR data Proficiency in version control systems (Git) and collaborative development Knowledge of FDA & EMA guidelines for RWE and regulatory submissions Knowledge of privacy frameworks (HIPAA, GDPR) and clinical data security Strong analytical skills to solve and model complex business requirements are a plus. We will provide– (Employee Value Proposition) Offer an inclusive environment that encourages diverse perspectives and ideas Deliver challenging and unique opportunities to contribute to the success of a transforming organization Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-developmentonline Axtria Institute, knowledge sharing opportunities globally, learning opportunities through external certifications Sponsored Tech Talks & Hackathons Possibility to relocate to any Axtria office for short and long-term projects Benefit package -Health benefits -Retirement benefits -Paid time off -Flexible Benefits -Hybrid /FT Office/Remote

What you will do In this vital role you will report to the Organizational Planning Analytics & Insights Procurement & Sourcing Lead, you will support Amgens Tech & Workforce Strategy by applying business analytics and change leadership skills to drive insights that impact resource allocation and sourcing strategy. Your responsibilities include dashboard development, ad-hoc reporting, business partnering & engagement, and financial baselining. This role supports organizational change and enables the development of an integrated approach to global sourcing and financial planning. Reporting to the Organizational Planning Analytics & Insights Procurement & Sourcing Lead, you will support Amgens Tech & Workforce Strategy by applying business analytics and change management skills to drive insights that impact resource allocation and sourcing strategy. Your responsibilities include dashboard development, ad-hoc reporting, business partnering & engagement, and financial baselining. This role supports change management and enables the development of an integrated approach to global sourcing and financial planning. Roles & Responsibilities: Addressing business challenges through process evaluation and insight generation. Develop insights with a strong focus on Tableau and Power BI dashboard creation, as well as PowerPoint presentations. Guide data analysts and data engineers on standard methodologies for building data pipelines to support dashboards and other business objectives. Conduct ad hoc analyses of FP&A and sourcing/procurement data. Addressing business challenges through process evaluation and insight generation. Develop insights with a strong focus on Tableau and Power BI dashboard creation, as well as PowerPoint presentations. Guide data analysts and data engineers on standard methodologies for building data pipelines to support dashboards and other business objectives. Conduct ad hoc analyses of FP&A and sourcing/procurement data. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Masters degree and 4 to 6 years of applicable experience in business analysis (finance analysis, data analysis, sourcing analysis, or similar experience OR Bachelors degree and 6 to 8 years of applicable experience in business analysis (finance analysis, data analysis, sourcing analysis, or similar experience OR Diploma and 10 to 12 years of applicable experience in business analysis (finance analysis, data analysis, sourcing analysis, or similar experience Preferred Qualifications: Masters degree in data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science, or a related field 4 years of relevant experience in data science, data analytics, consulting, and/or financial planning & analysis. A keen eye for design, with the ability to craft engaging PowerPoint decks and develop compelling Power BI and Tableau dashboards. Proven expertise in statistical/mathematical modeling and working with structured/unstructured data. Experience with procurement, sourcing, and/or financial planning data. Skilled in automating data workflows using tools like Tableau, Python, R, Alteryx, and PowerApps. Knowledge of global finance systems, Procurement, and sourcing operations. Experience with data analysis, budgeting, forecasting, and strategic planning in the Bio-Pharmaceutical or biotech industry. Growing in a start-up environment, building a data-driven transformation capability. Understanding of the Bio-Pharmaceutical and biotech industry trends and operations. Proven ability to engage with cross-functional business leaders to align data strategies with corporate objectives, redefining complex data insights into actionable strategies. Flexible work models, including remote work arrangements, where possible As we work to develop treatments that deal with others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, well support your journey every step of the way.

Role & responsibilities Data Scientist /ML engineers : ML Engineer with Python, SQL, Machine Learning, Azure skills(Good to have)

JD Optimization Specialist Job Summary: We are seeking an experienced Data Scientist with a strong background in optimization to join our team. The ideal candidate will have 12-17 years of experience in data science, machine learning, optimization techniques and Gen AI. This role involves leading complex data science and Gen AI projects ( with a focus in solving optimization problems), mentoring junior data scientists, and driving data-driven decision-making. Roles and Responsibilities: 12-17 years of overall experience in the design, implementation, or consulting within the data science and AI space. Oversee the design, development, and implementation of advanced optimization models to solve complex business problems, across domains ( manufacturing, hitech, retail , oil & gas, etc.) Apply optimization techniques such as linear programming, integer programming, mixed integer linear programming, nonlinear optimization, and heuristic and meta heuristic algorithms ( like Genetic Algorithms ) to solve business problems. Analyzing and understanding use cases to verify their fitment and to determine the best solution approach for data science and generative AI applications. Work closely with cross-functional teams including pre-sales, sales, hyper scalar platforms, to integrate the AI solutions and drive business outcomes Documenting comprehensive technical artifacts and establishing best practices for implementing and deploying AI models on various cloud platforms. Leading a team of leads and developers in building Proof of Concepts (POCs) for various customers. Provide guidance and mentorship to junior data scientists, and sharing knowledge in data science, optimization and AI technologies, fostering a culture of continuous learning and improvements Ensuring AI solutions adhere to quality and ethical standards while optimizing their performance in production for reliability and efficiency. Technical Skills Proficiency in optimization tools, libraries & products such as CPLEX, Gurobi, PuLP, Llamasoft, etc. Experience with building and implementing optimization techniques like linear programming, Mixed Integer Linear Programming, nonlinear optimization, Genetic Algorithms, and heuristic and meta – heuristic algorithms. Proficiency in programming languages like Python, R, and SQL. Expertise in data manipulation and analysis using libraries such as Pandas, NumPy, and Scikit-learn, SciPy Strong experience with machine learning frameworks like TensorFlow, Keras, and PyTorch Proficiency in using LLM, and LLM – based frameworks like RAG, agentic framework to develop AI solutions Strong communication skills and experience in managing various stakeholder relationships to gain consensus on complex technical solutions. Deep experience in architecting, designing, and implementing solutions on-premises, in the cloud, and using hybrid models, and mastery of the latest AI frameworks. In-depth experience in fine-tuning and customizing pretrained LLMs and AI models, with good understanding of various patterns and practices in AI, data engineering, and large data processing. Proficiency with a variety of tools and platforms, including but not limited to Amazon SageMaker, Azure ML Studio, Azure Data Lake, Google BigQuery, Vertex AI, AWS S3, Databricks and Snowflake. Experience with relational and non-relational databases (e.g., MySQL, MongoDB). Relevant certifications in data science, optimization, operations research, Gen AI at the Architect/Lead level will be an advantage. Behavioral Skills: Excellent verbal and written communication skills to articulate complex data insights to non-technical stakeholders. Problem-Solving: Strong analytical and problem-solving abilities to tackle challenging data and optimization issues. Collaboration: Ability to work effectively in a collaborative environment and build strong relationships with cross-functional teams. Adaptability: Flexibility to adapt to changing business needs and technological advancements. Attention to Detail: High level of attention to detail and commitment to delivering high-quality work. Other Skills: Project Management: Experience in managing large-scale data science, optimization and Gen AI projects and ensuring timely delivery. Business Acumen: Understanding of business processes and the ability to align data science, optimization and AI initiatives with organizational goals.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Interested in accelerating machine learning and artificial intelligence on mobile devices for millions of usersCome join our team. We are building software platforms that enable users of Qualcomms silicon to construct optimized neural networks and machine learning algorithms. We are looking for software engineers with a machine learning or compiler background who will help us build these software platforms. In this role, you will construct and tune machine learning frameworks, build compilers and tools, and collaborate with Qualcomm hardware and software engineers to enable efficient usage of Qualcomms silicon for machine learning applications. Minimum qualifications: Bachelors degree in Engineering, Information Systems, Computer Science, or related field. Programming in C/C++ 0 to 10 years of software engineering or related work experience Preferred qualifications: Experience in machine learning frameworks such as MxNet/NNVM/TVM, Pytorch, Tensorflow, Caffe OR experience in compilers with an interest in machine learning Deep knowledge of software engineering Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Interested in accelerating machine learning and artificial intelligence on mobile devices for millions of usersCome join our team. We are building software platforms that enable users of Qualcomms silicon to construct optimized neural networks and machine learning algorithms. We are looking for software engineers with a machine learning or compiler background who will help us build these software platforms. In this role, you will construct and tune machine learning frameworks, build compilers and tools, and collaborate with Qualcomm hardware and software engineers to enable efficient usage of Qualcomms silicon for machine learning applications. Minimum qualifications: Bachelors degree in Engineering, Information Systems, Computer Science, or related field. Programming in C/C++ 2 to 4 years of software engineering or related work experience Preferred qualifications: Experience in machine learning frameworks such as MxNet/NNVM/TVM, Pytorch, Tensorflow, Caffe OR experience in compilers with an interest in machine learning Deep knowledge of software engineering Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Job Function: SOC Thermal analysis methodology developmentencompassing SoC, package and systems, for various Qualcomm products going into smartphones, laptops, automotives and virtual reality headsets. Developing strategies to predict and improve thermally constrained scores (AnTuTu/Geekbench) and also measure/tune it on post-Si platforms, including infrared imaging. Thermal measurement The candidate will be responsible for improving thermal mitigation strategies through power and thermal management to achieve optimal system thermal performance. Skills: Should possess strong analytical skills and mathematical modeling abilities. Knowledge of SOC stack up is must Good knowledge of scripting in PERL/Python required; some exposure to Machine Learning algorithms/frameworks will be a plus. Need to have thorough knowledge of heat transfer mechanisms and CFD. Proficiency with state-of-the-art thermal analysis tools- Ansys Icepak/Flotherm Thermal Measurement will be preferred skill Experience: BE/ME graduates with 1 to 3 years of experience.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Candidate should have 10+ years of experience Experience in C/C++, Computer vision/ Image processing is must Experience in camera technology, ML/DL is good to have Experience in Embedded/arm programming is good to have but not necessary Responsibilities The job responsibilities may include a subset of the following Designing computer vision /image processing for mobile devices Designing and evaluating algorithms to be implemented in hardware on software prototypes Developing or Optimizing image processing and computer vision algorithms for HW acceleration Support product teams for commercialization, such as solution optimization, performance profiling and benchmarking. Test regression and release support Preferred Qualifications: Exposure or working experience in Vision or Multimedia accelerators Working experience with image processing algorithms. Knowledge/working experience in computer vision algorithms Strong knowledge in data structures and working experience with C/C++ programming Software optimizations experience in various SIMD and multi-threading

Title : Senior Manager -Data Science, Machine Learning and GenAI Technical Leader Job Area: Information Technology Group, Information Technology Group > IT Management General Summary: Experience in engaging with business and technical stakeholders, understanding complex problem statements, and proposing value-driven Data Science & ML solutionsFunctional & technical leadership in developing data science roadmap and guiding the team with end-to-end delivery (design, development, maintenance, and optimization) of advanced analytical solutions with focus on process standardization and best practicesProactive in reaching out to wide variety of stakeholders for increasing the awareness of Data Science, ML and GenAI capabilities and identifying business value driven opportunitiesAnalyze the market and industry trends in the technology and proactively look for opportunities in bringing the best solutions 'Strong analytical skills with the ability to gather information from several sources and identify fundamental patterns/trends in dataConduct research, design statistical studies and develop solutionsDevelop Story Telling dashboards on analytics to assist business in decision makingImplement deep learning models for structured and unstructured data setsPerform Time Series Analysis and Forecast (ARIMA, Exponential Smoothing, VAR etc.)Implementation experience with identifying, prototyping, developing and delivering GenAI solutions using Industry standard RAG models and frameworksAbility to develop capabilities in Text Analytics ranging from Basic to Advanced (Topic Modelling, NLP)Experience with AWS suite of Data Science and ML toolsDevelops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, Catboost etc.) 'Experience with other cloud platforms (GCP and Azure)Understanding of Data Platforms and Data EngineeringExposure to ChatBot solutions and Automation technologies Minimum Qualifications: 7+ years of IT-related work experience with a Bachelor's degree. OR 9+ years of IT-related work experience without a Bachelors degree. 4+ years in a leadership role in projects/programs.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. General Summary Preferred Qualifications 3+ years of experience as a Data Engineer or in a similar role Experience with data modeling, data warehousing, and building ETL pipelines Solid working experience with Python, AWS analytical technologies and related resources (Glue, Athena, QuickSight, SageMaker, etc.,) Experience with Big Data tools , platforms and architecture with solid working experience with SQL Experience working in a very large data warehousing environment, Distributed System. Solid understanding on various data exchange formats and complexities Industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets Strong data visualization skills Basic understanding of Machine Learning; Prior experience in ML Engineering a plus Ability to manage on-premises data and make it inter-operate with AWS based pipelines Ability to interface with Wireless Systems/SW engineers and understand the Wireless ML domain; Prior experience in Wireless (5G) domain a plus Education Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline Preferred QualificationsMasters in CS/ECE with a Data Science / ML Specialization Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field OR PhD in Engineering, Information Systems, Computer Science, or related field. 3+ years of experience with Programming Language such as C, C++, Java, Python, etc. Develops, creates, and modifies general computer applications software or specialized utility programs. Analyzes user needs and develops software solutions. Designs software or customizes software for client use with the aim of optimizing operational efficiency. May analyze and design databases within an application area, working individually or coordinating database development as part of a team. Modifies existing software to correct errors, allow it to adapt to new hardware, or to improve its performance. Analyzes user needs and software requirements to determine feasibility of design within time and cost constraints. Confers with systems analysts, engineers, programmers and others to design system and to obtain information on project limitations and capabilities, performance requirements and interfaces. Stores, retrieves, and manipulates data for analysis of system capabilities and requirements. Designs, develops, and modifies software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design. Principal Duties and Responsibilities: Completes assigned coding tasks to specifications on time without significant errors or bugs. Adapts to changes and setbacks in order to manage pressure and meet deadlines. Collaborates with others inside project team to accomplish project objectives. Communicates with project lead to provide status and information about impending obstacles. Quickly resolves complex software issues and bugs. Gathers, integrates, and interprets information specific to a module or sub-block of code from a variety of sources in order to troubleshoot issues and find solutions. Seeks others' opinions and shares own opinions with others about ways in which a problem can be addressed differently. Participates in technical conversations with tech leads/managers. Anticipates and communicates issues with project team to maintain open communication. Makes decisions based on incomplete or changing specifications and obtains adequate resources needed to complete assigned tasks. Prioritizes project deadlines and deliverables with minimal supervision. Resolves straightforward technical issues and escalates more complex technical issues to an appropriate party (e.g., project lead, colleagues). Writes readable code for large features or significant bug fixes to support collaboration with other engineers. Determines which work tasks are most important for self and junior engineers, stays focused, and deals with setbacks in a timely manner. Unit tests own code to verify the stability and functionality of a feature.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: We are seeking a highly skilled Full Stack Python Developer to join our dynamic team. The ideal candidate should have a strong background in tool development, data science, and automation of complex tasks. You will be responsible for developing high volume regression dashboard, parametric and power tools and contributing to both front-end and back-end development. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. Technical Skills: Python Proficiency in Python programming, including libraries like Pandas, NumPy, and SciPy for data science. Full Stack Development Experience with both front-end (HTML, CSS, JavaScript, React, Vue.js) and back-end (Django, Flask) technologies. Tool Development Ability to develop parametric and power tools, possibly using frameworks like Vue.js , PyQt or Tkinter for GUI development. Data Science Strong understanding of data analysis, machine learning (using libraries like scikit-learn, TensorFlow), and data visualization (using Matplotlib, Seaborn). Automation Experience in automating complex tasks using scripting and tools like Selenium, Airflow, or custom automation scripts. Soft Skills: Problem-Solving Ability to tackle complex problems and develop innovative solutions. Communication Strong communication skills to effectively collaborate with team members and stakeholders. Adaptability Flexibility to adapt to new technologies and methodologies. Experience: Projects Previous experience in developing tools and automation solutions. Industry Knowledge Familiarity with the specific industry or domain you're working in can be a plus. Key Responsibilities: Develop and maintain parametric and power tools using Python. Design and implement automation solutions for complex tasks. Collaborate with data scientists to analyze and visualize data. Build and maintain web applications using Django or Flask. Develop front-end components using HTML, CSS, JavaScript, and React. Integrate third-party APIs and services. Optimize applications for maximum speed and scalability. Write clean, maintainable, and efficient code. Troubleshoot and debug applications. Stay updated with the latest industry trends and technologies. Preferred Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. Previous experience in tool development and automation. Familiarity with industry-specific tools and technologies.

What you will do In this vital role we are seeking a Business Systems Analyst with a good background in data and analytics to define and manage product requirements for AI-driven applications. Partner with Data Scientists, ML Engineers, and Product Managers to define business processes, product needs, and AI solution requirements. Capture and document epics, user stories, acceptance criteria, and data process flows for AI-powered analytics applications. Work closely with partners to define scope, priorities, and impact of new AI and data initiatives. Ensure non-functional requirements, such as data security, model interpretability, and system performance , are included in product backlogs. Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and lead backlog grooming sessions. Ensure alignment of technical requirements and UX for AI-based applications and interactive dashboards. Collaborate with engineers to define data ingestion, transformation, and model deployment processes . Develop and implement product demonstrations showcasing AI-driven insights and analytics. Maintain detailed documentation of data pipelines, model lifecycle management, and system integrations . Stay engaged throughout software development, providing proactive feedback to ensure business needs are met What we expect of you We are all different, yet we all use our unique contributions to serve patients. This role bridges the gap between business needs and technical execution, ensuring the development of high-quality, scalable AI solutions. You will collaborate with data scientists, engineers, and product managers to shape product roadmaps, refine requirements, and drive alignment between business objectives and technical capabilities. Basic Qualifications: Masters degree and 1 to 3 years expereince in Computer Science, Data Science, Information Systems, or related field OR Bachelors degree and 3 to 5 years of in Computer Science, Data Science, Information Systems, or related field OR Diploma and 7 to 9 years of in Computer Science, Data Science, Information Systems, or related field Preferred Qualifications: Experience defining requirements for AI/ML models, data pipelines, or analytics dashboards . Familiarity with cloud platforms (AWS, Azure, GCP) for AI and data applications. Understanding of data security, governance, and compliance in AI solutions. Ability to communicate complex AI concepts and technical constraints to non-technical partners. Knowledge of MLOps, model monitoring, and CI/CD for AI applications .

Job Summary: We are looking for a highly skilled Data Scientist with deep expertise in time series forecasting, particularly in demand forecasting and customer lifecycle analytics (CLV). The ideal candidate will be proficient in Python or PySpark, have hands-on experience with tools like Prophet and ARIMA, and be comfortable working in Databricks environments. Familiarity with classic ML models and optimization techniques is a plus. Key Responsibilities • Develop, deploy, and maintain time series forecasting models (Prophet, ARIMA, etc.) for demand forecasting and customer behavior modeling. • Design and implement Customer Lifetime Value (CLV) models to drive customer retention and engagement strategies. • Process and analyze large datasets using PySpark or Python (Pandas). • Partner with cross-functional teams to identify business needs and translate them into data science solutions. • Leverage classic ML techniques (classification, regression) and boosting algorithms (e.g., XGBoost, LightGBM) to support broader analytics use cases. • Use Databricks for collaborative development, data pipelines, and model orchestration. • Apply optimization techniques where relevant to improve forecast accuracy and business decision-making. • Present actionable insights and communicate model results effectively to technical and non-technical stakeholders. Required Qualifications • Strong experience in Time Series Forecasting, with hands-on knowledge of Prophet, ARIMA, or equivalent Mandatory. • Proven track record in Demand Forecasting Highly Preferred. • Experience in modeling Customer Lifecycle Value (CLV) or similar customer analytics use cases – Highly Preferred. • Proficiency in Python (Pandas) or PySpark – Mandatory. • Experience with Databricks – Mandatory. • Solid foundation in statistics, predictive modeling, and machine learning Locations: Mumbai/Pune/Noida/Bangalore/Jaipur/Hyderabad

Were hiring a Generative AI Trainer ( Full-time & Freelance ) to lead engaging training sessions and guide learners through real-world AI applications. Youll be teaching the latest in Gen AI tools like LLMs, Prompt Engineering, Lang Chain , and more. Key Responsibilities: Deliver structured offline and online training on Generative AI topics Teach concepts including LLMs, Prompt Engineering, Lang Chain, Hugging Face , etc. Support learners with project work, queries, and assessments Create and update training material, hands-on exercises, and case studies Ensure high engagement and learner satisfaction Stay up-to-date with latest AI research and industry practices Key Skills Required: Strong expertise in Python , Machine Learning , and Deep Learning Practical experience with Large Language Models (GPT, Llama, etc.) , NLP , and RAG Knowledge of Lang Chain, Hugging Face, Transformers , and Prompt Engineering Familiarity with Flask/Django , SQL , and Tableau is a plus Hands-on experience with real-time AI/ML/Gen AI projects is a must Strong communication skills and a passion for teaching

Urgent Job Opening - Multiple 1) Designation - Software Developer ,Java, . Net , Python, PHP, SQL, Data science ,Data Analyst 2) Designation - Manual Testing & Automation Testing Experience- 0 to 4 yrs Salary - 4 to 9 Lakh Job Location - Pune

Job Summary Person at this position has gained significant work experience to be able to apply their knowledge effectively and deliver results. Person at this position is also able to demonstrate the ability to analyse and interpret complex problems and improve change or adapt existing methods to solve the problem. Person at this position regularly interacts with interfacing groups / customer on technical issue clarification and resolves the issues. Also participates actively in important project/ work related activities and contributes towards identifying important issues and risks. Reaches out for guidance and advice to ensure high quality of deliverables. Person at this position consistently seek opportunities to enhance their existing skills, acquire more complex skills and work towards enhancing their proficiency level in their field of specialisation. Works under limited supervision of Team Lead/ Project Manager. Roles & Responsibilities Responsible for design, coding, testing, bug fixing, documentation and technical support in the assigned area. Responsible for on time delivery while adhering to quality and productivity goals. Responsible for adhering to guidelines and checklists for all deliverable reviews, sending status report to team lead and following relevant organizational processes. Responsible for customer collaboration and interactions and support to customer queries. Expected to enhance technical capabilities by attending trainings, self-study and periodic technical assessments. Expected to participate in technical initiatives related to project and organization and deliver training as per plan and quality. Education and Experience Required Engineering graduate, MCA, etc Experience: 2-5 years Competencies Description Data Science TCB is applicable to one who 1) Analyses data to arrive at patterns/Insights/models 2) Come up with models based on the data to provide recommendations, predictive analytics etc 3) Provides implementation of the models in R, Matlab etc 4) Can understand and apply machine learning/AI techniques Platforms- Unix Technology Standard- NA Tools- R, Matlab, Spark Machine Learning, Python-ML, SPSS, SAS Languages- R, Perl, Python, Scala Specialization- COGNITIVE ANALYTICS INCLUDING COMPUTER VISION, AI and ML, STATISTICS.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

What you will do In this vital role you will collaborate with business partners, service owners and IS peers to develop predictive models and insights across the US Commercial Organization. This position will innovate and build significant business impact through the use of sophisticated analytics techniques to help Amgen with its mission to serve patients by helping them get the therapies they need. Flexible Commuter role to Amgen India office. You will work on-site 2-3 days a week. This position will be primarily responsible for: Working collaboratively with multi-functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value for Amgen and our patients Identifying business needs and proposing potential analytics approaches for solutions Crafting and deploying a framework to supervise the performance of various campaigns, and tactics at a granular level Leading measurement and tracking of various omnichannel CX enablement initiatives Supporting the development of data science, machine learning prototypes, proof of concepts and models for testing various omnichannel strategies Communicating analysis ideas, progress and results to leadership and business partners What we expect of you We are all different, yet we all use our unique contributions to serve patients. Doctorate degree OR Masters degree and 4 to 6 years of data science and/or analytics experience OR Bachelors degree and 6 to 8 years of data science and/or analytics experience OR Diploma and 10 to 12 years of data science and/or analytics experience Preferred Qualifications: Relevant work experience in campaign measurement, marketing analytics and resource optimization in the pharma domain Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, or TensorFlow Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.) is a plus Ability to communicate analysis in a clear, detailed, and practical manner Passion for learning and staying on top of current developments in sophisticated analytics Biotech / Pharma experience

What you will do You will play a key role as part of Operations Generative AI (GenAI) Product team to deliver cutting edge innovative GEN AI solutions across various Process Development functions(Drug Substance, Drug Product, Attribute Sciences & Combination Products) in Operations functions. Role Description: As a Full Stack Sr Associate Software Engineer, you will contribute to the development and maintenance of our GEN AI web applications across various Process Development functions(Drug Substance, Drug Product, Attribute Sciences & Combination Products) in Operations, Youll be working on both front-end and back-end technologies. This role is ideal for recent graduates or early-career professionals looking to gain hands-on experience in software development. Roles & Responsibilities: Develop and maintain based front-end applications using modern web frameworks (React, Angular, Fast API). Build and maintain back-end services using languages like Python, Java, or Node.js. Collaborate with the design and product teams to understand user needs and translate them into technical requirements. Write clean, efficient, and well-tested code. Participate in code reviews and provide constructive feedback. Maintain system uptime and optimal performance Learn and adapt to new technologies and industry trends like Prompt Engineering, AI tools and Retrieval-augmented generation (RAG) frameworks What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Masters degree and 1 to 3 years of Experience in Full Stack Software Engineering, Web development OR Bachelors degree and 3 to 5 years of Experience in Full Stack Software Engineering, Web development OR Diploma and 7 to 9 years of Experience in Full Stack Software Engineering, Web development Cloud Computing certificate preferred Functional Skills: Experienced with API integration, serverless, microservices architecture. Experience in AWS, SQL/NOSQL database, vector database for large language models Experience with popular large language models like OPEN AI Experience with language models and frameworks like Langchain or llamaIndex Experience with prompt engineering, model fine tuning Experience with DevOps CICD build and deployment pipeline Experience with design patterns, data structures, test-driven development. Preferred Qualifications: Professional Certifications: AWS, Data Science Certifications(preferred) Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, virtual teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills.