software engineer

senior software engineer Jobs in Hyderabad

senior software engineer

technical lead

Sandoz India Pvt Ltd

<div>
 
 Job Description
 
 
 
 
 Your Key Responsibilities:
 
 
 
 
 Your Responsibilities Include, But Not Limited To
 
 
 
 <ul>
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 Independently plan, organize, perform and document scientific experiments /GMP testing /manufacturing plant activities under minimal supervision; handle several activities at a time
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 -Take over responsibility for and utilize special tools /equipment or specialized facilities as an expert; schedule and perform maintenance and qualification of instruments / equipment -Proactively identify conflict situations and contribute to solutions
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 -Work according to appropriate standards for quality, ethics, health, safety, environment protection, and information security; lead initiatives to ensure continuous improvement. Documentation of raw data, evaluate and interpret results; propose and actively support the design of next experiments.
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 Review and verify raw data generated by others; approval of tests / experiments performed by others. Write protocols, scientific reports or lab procedures based on templates or SOPs under minimal supervision. For technical development units: Develop new methods or optimize existing methods/processes (lab or plant); contribute to development and implementation of new technologies
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 -For GMP units: ensure compliance to cGMP -For technology-focused roles: Perform information and literature searches under minimal guidance. Actively foster knowledge exchange.
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 Train and coach associate scientists, technicians, temporary employees and employees under training / education -For project-focused role: Participate in function-specific sub teams and fulfill assigned project tasks and responsibilities under supervision -Uses professional concepts and company's policies and procedures to solve a wide range of difficult problems in imaginative and practical ways.
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 Contributes to some cost center goals and objectives -Design, plan and perform / supervise scientific experiments and contribute to project related scientific /technical activities under minimal supervision (e.g., interpret and report results, generate and evaluate data, draw relevant conclusions, optimize existing methods / processes).
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 Establish innovative solutions for verification and control of critical quality attributes, critical material attributes or critical process parameter in cooperation with other colleagues. Establish control procedures and specifications and review test procedures. Generate scientific documents to hand over to internal and / or external partners (e.g., MST, TechOps, authorities, external companies) and support generation of international registration documents under minimal supervision.
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 If assigned this task, maintenance of infrastructure / equipment and required investments (e.g. system ownership) -Generate lab procedures or SOP&rsquo;s, generate protocols and reports -Lead technical meetings during product development at the local level as well as on the level of SDC network -Report and present scientific /technical results internally and contribute to publications, presentations and patents.
 
 
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 </ul>
 
 Essential Requirements
 
 
 
 What you&rsquo;ll bring to the role:
 
 
 <ul>
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 M Pharm with 2-5 years' experience or PhD with 1-3 years' experience
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 Functional Breadth.
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 Operations Management and Execution.
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 Collaborating across boundaries.
 
 
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 </ul>
 
 Skills
 
 
 
 <ul>
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 Environment.
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 Experiments Design.
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 Health And Safety (Ehs).
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 Laboratory Equipment.
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 Manufacturing Process.
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 Materials Science.
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 Process Simulation.
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 Project Management.
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 Sop (Standard Operating Procedure).
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 Technical Writing.
 
 
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 </ul>
 Why Sandoz?
 
 
 Generic and Biosimilar medicines are the backbone of the global medicines industry. Sandoz, a leader in this sector, provided more than 900 million patient treatments across 100+ countries in 2024 and while we are proud of this achievement, we have an ambition to do more!
 
 
 With investments in new development capabilities, production sites, new acquisitions, and partnerships, we have the opportunity to shape the future of Sandoz and help more patients gain access to low-cost, high-quality medicines, sustainably.
 
 
 Our momentum is powered by an open, collaborative culture driven by our talented and ambitious colleagues, who, in return for applying their skills experience an agile and collegiate environment with impactful, flexible-hybrid careers, where diversity is welcomed and where personal growth is supported!
 
 
 Join us!
</div>

Scientist - Pharmaceutical Development

NxtWave

<div>
 
 
 Job Description:
 
 
 
 At NxtWave, as a TCD, you will be heading your technical pod and will be responsible for creating and refining industry-relevant content for students. This role involves developing engaging content and materials that enhance learning experiences, ensuring industry relevance, and driving continuous improvement. You&rsquo;ll collaborate with teams internally and SMEs externally to manage technical content tracks, analyse industry trends, and deliver high-quality outcomes that improve learners' skills and employability.
 
 
 
 Skills Required
 
 
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 Minimum 1-4 years of experience in content development.
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 Strong understanding of neural networks, CNNs, RNNs, LSTMs, GANs, transformers, and other advanced architectures.
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 Expertise in Python and popular Deep Learning frameworks like TensorFlow, PyTorch, and Keras.
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 Hands-on experience building, training, and deploying Deep Learning Models.
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 Experience working with real-world datasets for image recognition, NLP, time series forecasting, and other domains.
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 Knowledge of pre-trained models and transfer learning techniques.
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 </ul>
 
 
 
 
 
 Responsibilities
 
 
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 Lead a team of Associate technical content developers to ensure timely and high-quality content creation.
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 Develop high-quality, industry-relevant content on Deep Learning concepts, including neural networks, CNNs, RNNs, GANs, transformers, and other advanced topics.
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 Incorporate hands-on projects and real-world datasets to provide practical learning experiences.
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 Understanding of how to develop content to meet various learner needs and styles.
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 Collaborate with Subject Matter Experts (SMEs) to ensure technical accuracy and relevance of the content.
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 Design curriculum outlines, learning objectives, and roadmaps for comprehensive technical programs.
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 Stay updated with the latest industry trends to incorporate cutting-edge topics and technologies into the content.
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 Review and revise content regularly based on learner feedback and emerging educational strategies.
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 Act as a bridge between content development and product teams, driving feature development and design improvements to support immersive and practical learning experiences.
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 Monitor and report on the progress of content development to ensure alignment with organisational goals.
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 </ul>
 
 
 Job Overview
 
 
 
 
 
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 Location
 
 :
 
 
 NxtWave Office Spaces in Hyderabad
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 Job Type
 
 : Full-Time
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</div>

Technical Content Developer – Deep Learning & AI

PepsiCo

<div>
 
 
 Overview
 
 
 
 We are seeking a highly skilled and proactive AI Solutions SRE Lead to oversee the maintenance, optimization, and ongoing performance of deployed AI/ML systems and solutions. In this role, you'll act as the bridge between innovation and operations, ensuring our AI solutions consistently deliver value and operate seamlessly in real-world environments. You will lead efforts to monitor deployments, troubleshoot issues, and define best practices for sustaining AI systems throughout their lifecycle.
 
 
 
 
 
 
 Responsibilities
 
 
 
 Monitoring &amp; Sustenance:
 
 <ul>
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 Lead the post-deployment lifecycle of AI solutions, ensuring continued functionality, reliability, and scalability.
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 Establish monitoring frameworks to oversee system performance, usage, and metrics for AI/ML models and APIs.
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 Detect anomalies in AI systems, troubleshoot operational issues, and initiate timely corrective actions.
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 Performance Optimization:
 
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 Continuously assess and optimize the performance of AI models to maintain efficiency and accuracy in production environments.
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 Collaborate with data scientists and engineers to refine algorithms, retrain models, and update solutions as needed.
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 Implement automation where possible to streamline maintenance processes.
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 Stakeholder Collaboration:
 
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 Work with cross-functional teams (engineering, product, operations, etc.) to ensure alignment of AI sustainment activities with business goals.
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 Communicate effectively with stakeholders to provide updates on system health, risks, and improvements.
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 Governance &amp; Best Practices:
 
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 Define and implement best practices for sustaining AI solutions, including documentation, testing protocols, and version control.
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 Ensure compliance with ethical AI standards, regulatory guidelines, and established governance frameworks.
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 Manage and mitigate risks associated with model drift, data shifts, and system vulnerabilities.
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 Incident Management:
 
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 Lead responses to critical incidents involving AI systems by performing root cause analysis and deploying solutions for quick resolution.
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 Advocate for proactive risk prevention and early detection strategies.
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 Mentor and develop junior team members, fostering their skills in AI observability and domain-specific knowledge in ML, Computer Vision, and Generative AI.
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 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 Required:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, Data Science, or related field; advanced degree preferred.
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 9+ years of experience in machine learning, data science, or software engineering roles, with significant exposure to Computer Vision and Generative AI projects.
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 4+ years of experience specifically focused on AI/ML development and sustain the applications / solutions.
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 Strong programming skills in languages such as Python, Java, or Go.
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 Extensive experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms (e.g., AWS, Azure, GCP).
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 Proficiency in data visualization tools and techniques (e.g., Grafana, Tableau, D3.js).
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 Deep understanding of AI/ML concepts, including model training, evaluation, and deployment, with specific knowledge of Computer Vision and Generative AI techniques.
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 Experience with monitoring and observability tools such as Prometheus, ELK stack, or similar systems.
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 Excellent problem-solving skills and ability to troubleshoot complex AI systems across various domains.
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 Proven track record of mentoring and developing junior team members in AI-related roles.
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 </ul>
 
 
 
 
 
 Preferred:
 
 
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 Experience with MLOps practices and tools, particularly for large-scale AI systems.
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 Familiarity with AI ethics and responsible AI principles, especially as they relate to Generative AI.
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 Knowledge of relevant AI regulations and compliance requirements, including those specific to Computer Vision applications.
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 Experience with distributed systems and large-scale data processing for AI applications.
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 Contributions to open-source projects or research publications in AI solution at production scale. Previous experience with large-scale AI/ML solutions in production environments.
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 Knowledge of DevOps principles and CI/CD pipelines specific to AI/ML systems.
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 </ul>
 
 
 
 
 
 Key Competencies
 
 
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 Strong analytical and critical thinking skills
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 Excellent communication and collaboration abilities
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 Proactive and self-motivated work ethic
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 Ability to explain complex technical concepts to both technical and non-technical audiences
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 Adaptability and willingness to learn in a rapidly evolving field
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 Strong mentorship and leadership skills
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 Deep curiosity and passion for AI, particularly in ML, Computer Vision, and Generative AI domains
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 We are looking for a passionate and innovative individual who can help us build robust, transparent, and reliable AI systems while nurturing the growth of our team. If you have a strong background in AI/ML, with specific expertise in Computer Vision and Generative AI, and a keen interest in observability and system reliability, we encourage you to apply.
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</div>

AI Associate Manager

Amgen

<div>
 
 About Amgen
 
 
 
 Amgen harnesses the best of biology and technology to fight the world&rsquo;s toughest diseases, and make people&rsquo;s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what&rsquo;s known today.
 
 
 
 About The Role
 
 
 
 Role Description:
 
 
 We are seeking an experienced MDM Manager with 10&ndash;14 years of experience to lead strategic development and operations of our Master Data Management (MDM) platforms, with hands-on experience in Informatica or Reltio. This role will involve managing a team of data engineers, architects, and quality experts to deliver high-performance, scalable, and governed MDM solutions that align with enterprise data strategy.
 
 To succeed in this role, the candidate must have strong MDM experience along with Data Governance, DQ, Data Cataloging implementation knowledge, hence the candidates must have minimum 6-8 years of core MDM technical experience for this role (Along with total experience in the range of 10-14 years).
 
 
 
 Roles &amp; Responsibilities:
 
 
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 Lead the implementation and optimization of MDM solutions using Informatica or Reltio platforms.
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 Define and drive enterprise-wide MDM architecture, including IDQ, data stewardship, and metadata workflows.
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 Match/Merge and Survivorship strategy and implementation experience
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 Design and delivery of MDM processes and data integrations using Unix, Python, and SQL.
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 Collaborate with backend data engineering team and frontend custom UI team for strong integrations and a seamless enhanced user experience respectively
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 Manage cloud-based infrastructure using AWS and Databricks to ensure scalability and performance.
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 Coordinate with business and IT stakeholders to align MDM capabilities with organizational goals.
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 Establish data quality metrics and monitor compliance using automated profiling and validation tools.
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 Promote data governance and contribute to enterprise data modeling and approval workflow (DCRs).
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 Ensure data integrity, lineage, and traceability across MDM pipelines and solutions.
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 Provide mentorship and technical leadership to junior team members and ensure project delivery timelines.
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 Lead custom UI design for better user experience on data stewardship
 
 
 </li>
 </ul>
 Basic Qualifications and Experience:
 
 
 <ul>
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 Master&rsquo;s degree with 8 - 10 years of experience in Business, Engineering, IT or related field OR
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 Bachelor&rsquo;s degree with 10 - 14 years of experience in Business, Engineering, IT or related field OR
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 Diploma with 14 - 16 years of experience in Business, Engineering, IT or related field
 
 
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 </ul>
 Functional Skills:
 
 
 
 Must-Have Skills:
 
 
 
 <ul>
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 Deep knowledge of MDM tools (Informatica, Reltio) and data quality frameworks (IDQ) from configuring data assets to building end to end data pipelines and integrations for data mastering and orchestrations of ETL pipelines
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 Very good understanding on reference data, hierarchy and its integration with MDM
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 Hands on experience with custom workflows AVOS, Eclipse etc
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 Strong experience with external data enrichment services like D&amp;B, Address doctor etc
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 Strong experience on match/merge and survivorship rules strategy and implementations
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 Strong experience with group fields, cross reference data and UUIDs
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 Strong understanding of AWS cloud services and Databricks architecture.
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 Proficiency in Python, SQL, and Unix for data processing and orchestration.
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 Experience with data modeling, governance, and DCR lifecycle management.
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 Proven leadership and project management in large-scale MDM implementations.
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 Able to implement end to end integrations including API based integrations, Batch integrations and Flat file based integrations
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 Must have worked on atleast 3 end to end implementations of MDM
 
 
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 </ul>
 
 Good-to-Have Skills:
 
 
 
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 Experience with Tableau or PowerBI for reporting MDM insights.
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 Exposure to Agile practices and tools (JIRA, Confluence).
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 Prior experience in Pharma/Life Sciences.
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 Understanding of compliance and regulatory considerations in master data.
 
 
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 </ul>
 Professional Certifications:
 
 
 <ul>
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 Any MDM certification (e.g. Informatica, Reltio etc)
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 Any Data Analysis certification (SQL)
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 Any cloud certification (AWS or AZURE)
 
 
 </li>
 </ul>
 Soft Skills:
 
 
 <ul>
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 Strong analytical abilities to assess and improve master data processes and solutions.
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 Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders.
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 Effective problem-solving skills to address data-related issues and implement scalable solutions.
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 Ability to work effectively with global, virtual teams
 
 
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 </ul>
 EQUAL OPPORTUNITY STATEMENT
 
 
 Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
 
 
 We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
</div>

MDM Specialist

Golden Opportunities

<div>
 
 Job Description
 
 
 
 Define, build, and lead a team of Data Scientists and Data analysts Discover areas in operations that can be automated through machine learning Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytical solutions Work closely with internal stakeholders and align them with respect to your focus area Innovate by adapting new modeling techniques and procedures Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports.
 
 
 
 Skills Required
 
 
 
 RoleData Scientist
 
 
 Industry TypeIT/ Computers - Software]
 
 
 Functional AreaIT-Software
 
 
 Required Education
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 DATA SCIENCE
 </li>
 <li>
 MACHINE LEARNING
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1384/2025
 
 
 Recruiter NameRamya V
</div>

Data Scientist - GO/JC/1384/2025

JPMorganChase

<div>
 
 Job Description
 
 
 
 You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful product launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.
 
 
 As a Product Manager in the Consumer and Community Banking - Data Publishing and Processing (DPP) team, you are an integral part of the group that innovates in building data publishing and processing products and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing DPP products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
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 Develop a product strategy and vision that delivers value to customers.
 </li>
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 Manage discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap.
 </li>
 <li>
 Own, maintain, and develop a product backlog that enables development to support the overall strategic roadmap and value proposition.
 </li>
 <li>
 Build the framework and track the product's key success metrics such as cost, feature and functionality, risk posture, and reliability.
 </li>
 <li>
 Lead all phases of product lifecycle management, from ideation to launch and ongoing optimization.
 </li>
 <li>
 Collaborate with engineering, data, and business teams to deliver scalable, resilient, and stable data products.
 </li>
 <li>
 Communicate effectively with both technical and non-technical stakeholders, including business users and customers.
 </li>
 <li>
 Navigate complex environments with multiple cross-team dependencies, ensuring alignment and timely delivery.
 
 
 </li>
 </ul>
 
 Required Qualifications, Capabilities And Skills
 
 
 
 <ul>
 <li>
 5+ years of experience or equivalent expertise in product management or a relevant domain area.
 </li>
 <li>
 Advanced knowledge of the product development life cycle, design, and data analytics.
 </li>
 <li>
 Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management.
 </li>
 <li>
 5+ years of hands-on experience building Data Lakes, Data Warehouses, and ETL processes.
 </li>
 <li>
 5+ years of experience with AWS Cloud and Data Analytics services (Lake Formation, S3, IAM, Glue, Apache Spark, Kinesis, Kafka).
 </li>
 <li>
 5+ years of experience with PySpark, Databricks, SQL, DBT, Apache Airflow, Apache Flink, Snowflake.
 </li>
 <li>
 10+ years of experience building products as a Product Manager (not as an engineer).
 </li>
 <li>
 Experience communicating with technical and non-technical/business users/customers.
 </li>
 <li>
 Experience working in a complex environment with multiple cross-team dependencies.
 </li>
 <li>
 Familiarity with API-first product design and integration patterns.
 </li>
 <li>
 Understanding of security, privacy, and compliance requirements for financial enterprise data sharing.
 
 
 </li>
 </ul>
 
 Preferred Qualifications, Capabilities And Skills
 
 
 
 <ul>
 <li>
 Demonstrated prior experience working in a highly matrixed, complex organization.
 </li>
 <li>
 Experience with data cataloging, metadata management, and entitlement services.
 </li>
 <li>
 Familiarity with modern data architectures, data contracts, entitlements, and cost optimization in cloud or hybrid environments.
 </li>
 <li>
 Experience in building products for financial services or other highly regulated industries.
 
 
 </li>
 </ul>
 
 ABOUT US
 
 
 
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 
 
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
 
 
 
 About The Team
 
 
 
 Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.
 
 
 The CCB Data &amp; Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
</div>

Product Manager

Yousef Al-Rajhi Group

Job Title: BIM Manager – F&amp;B, Retail &amp; Commercial ProjectsDepartment: Design &amp; EngineeringReports To: Head of Design / Technical DirectorEmployment Type: Full-time &nbsp;Position Summary: &nbsp;The BIM Manager will lead the implementation and coordination of Building Information Modeling (BIM) processes across multiple F&amp;B, retail, and commercial fit-out projects. This role ensures that BIM standards, workflows, and deliverables are maintained throughout the design and construction phases to achieve efficient project delivery, design accuracy, and cross-discipline collaboration. Experience working on Middle East projects and familiarity with regional standards, authorities’ requirements, and fast-track retail environments will be a strong advantage. &nbsp;Key Responsibilities: &nbsp;1. BIM Strategy &amp; Implementation &nbsp;• Develop, implement, and maintain BIM execution plans (BEP) for all projects.• Establish and enforce BIM standards, templates, and best practices across all design and engineering disciplines.• Lead BIM coordination workshops and ensure proper integration between architectural, structural, and MEP models. &nbsp;2. Project Coordination &amp; Delivery &nbsp;• Manage and oversee BIM workflows from concept through construction documentation.• Support design teams in model development, data accuracy, and clash detection using BIM tools.• Ensure all project models align with client requirements, brand standards, and local authority regulations. &nbsp;3. Technical Leadership &nbsp;• Provide technical guidance and training to in-house design teams, consultants, and contractors.• Evaluate and implement new BIM technologies and workflows to improve efficiency and collaboration.• Coordinate with external consultants, suppliers, and project managers to ensure smooth information exchange. &nbsp;4. Quality Control &amp; Reporting&nbsp;• Conduct model audits and quality checks to ensure compliance with BIM protocols.• Prepare and deliver project-specific BIM progress reports and coordination summaries.• Manage model versioning, file naming conventions, and digital asset management systems. &nbsp;Qualifications &amp; Experience: &nbsp;• Bachelor’s or Master’s degree in Architecture, Engineering, or a related field.• Minimum 7–10 years of professional experience, with at least 3–5 years in a BIM management role.• Proven experience in F&amp;B, retail, or commercial projects (fit-out and design coordination).• Middle East experience preferred, with understanding of regional building codes, authority submission standards, and fast-track retail delivery processes.• Proficient in Revit, Navisworks, AutoCAD, Dynamo, and BIM 360 (or equivalent platforms).• Familiar with 3D coordination, clash detection, and construction documentation workflows. &nbsp;Key Skills &amp; Competencies:&nbsp;• Strong leadership and team coordination abilities• Excellent communication and presentation skills• Detail-oriented with strong problem-solving skills• Advanced knowledge of BIM workflows and interoperability• Ability to work under tight deadlines and manage multiple concurrent projects• Familiarity with sustainability and digital twin concepts (preferred)

BIM Manager (F&B, Retail & Commercial Projects)

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