138 Technology Research jobs in India

• Lead and manage R&D projects from concept to completion.
• Design, develop, and implement novel scientific and engineering solutions.
• Conduct feasibility studies and technical assessments.
• Oversee the creation and testing of prototypes and proof-of-concept systems.
• Analyze experimental data and interpret results to inform decision-making.
• Collaborate with cross-functional teams, including scientists and engineers.
• Identify and evaluate new technologies and methodologies.
• Contribute to the development of intellectual property (patents).
• Mentor junior engineers and technical staff.
• Prepare detailed technical reports, documentation, and presentations.

• Ph.D. or Master's degree in Engineering (e.g., Mechanical, Electrical, Chemical, Materials Science) or a related scientific field.
• Minimum of 7-10 years of progressive experience in scientific research and development.
• Demonstrated experience in leading R&D projects and teams.
• Expertise in relevant scientific principles and engineering disciplines.
• Strong analytical, problem-solving, and critical thinking skills.
• Proficiency in simulation, modeling, and data analysis software.
• Excellent written and verbal communication skills.
• Ability to communicate complex technical concepts effectively.
• Proven ability to innovate and develop practical solutions.
• Experience with intellectual property development is a plus.

• Design, implement, and maintain bioinformatics pipelines for high-throughput sequencing data analysis.
• Perform complex statistical analyses and develop novel computational approaches to address biological questions.
• Interpret and present research findings to internal teams and external collaborators.
• Develop and curate biological databases and ontologies.
• Collaborate with experimental biologists, clinicians, and other researchers to define project goals and analytical strategies.
• Contribute to the writing of research grants, manuscripts, and technical reports.
• Provide guidance and mentorship to junior bioinformaticians and research staff.
• Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
• Manage data integrity, security, and accessibility for research projects.
• Develop and optimize software tools and scripts for data analysis and visualization.

• Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
• Minimum of 5 years of relevant experience in bioinformatics or computational biology research.
• Strong programming skills in languages such as Python, R, Perl, or C/C++.
• Proficiency in using bioinformatics software and databases (e.g., BLAST, Ensembl, NCBI databases).
• Experience with statistical analysis and machine learning techniques applied to biological data.
• Hands-on experience with various next-generation sequencing (NGS) data types and analysis platforms.
• Familiarity with cloud computing platforms (e.g., AWS, Google Cloud) is a plus.
• Excellent written and verbal communication skills, with a strong publication record.
• Ability to work independently and as part of a collaborative research team.
• Demonstrated ability to manage multiple projects and meet deadlines in a fast-paced research environment.

About Us:

Mobileum is a leading provider of Telecom analytics solutions for roaming, core network, security, risk management, domestic and international connectivity testing, and customer intelligence. More than 1,000 customers rely on its Active Intelligence platform, which provides advanced analytics solutions, allowing customers to connect deep network and operational intelligence with real-time actions that increase revenue, improve customer experience, and reduce costs. Know our story:

Headquartered in Silicon Valley, Mobileum has global offices in Australia, Dubai, Germany, Greece, India, Portugal, Singapore and UK with global HC of over 1800+.

Join Mobileum Team

At Mobileum we recognize that our team is the main reason for our success. What does work with us mean? Opportunities!

Role: Senior Technology and Research Engineer

About the Job:

We are seeking an experienced engineer to join our team, dedicated to enabling and supporting the deployment of applications as Cloud-Native Functions (CNF). The ideal candidate will help bridge the gap between applications development and cloud-native deployment, ensuring that products are operationally ready, compliant, and efficiently deployable in modern containerized environments.

Roles & Responsibility: -

• Collaborate with engineering and platform teams to support the transition of applications to CNF-compliant deployments.
• Analyze deployment requirements and identify gaps or incompatibilities with target environments, including operating system-level dependencies.
• Develop and maintain automation scripts, templates, and tools to streamline deployment, configuration, and operational processes.
• Troubleshoot and resolve issues related to container orchestration, networking, storage, security, and operating system integration in CNF environments.
• Investigate and resolve OS-level issues such as service failures, boot problems, filesystem or directory corruption, and system resource constraints.
• Support the creation and maintenance of system images and templates for consistent, repeatable deployments.
• Document deployment processes, best practices, and operational guidelines for internal and external stakeholders.
• Provide technical support to unblock engineering, QA, and field teams during deployment and operational phases.
• Participate in gap analysis and enablement activities to ensure compliance with customer and platform requirements. • Contribute to continuous improvement initiatives, including process optimization and adoption of new methodologies.
• Share knowledge and mentor team members on CNF deployment practices, operational excellence, and OS-level troubleshooting.

Technical Skills: -

• Strong experience with containerization and orchestration platforms.
• Solid understanding of cloud-native deployment principles and operational challenges.
• Proficiency in scripting and automation for deployment and configuration tasks.
• Hands-on experience with Linux operating systems (e.g., RHEL, CentOS, Ubuntu), including troubleshooting, service management, and system recovery.
• Experience investigating and resolving OS-level issues such as service failures, directory or filesystem corruption, and system resource bottlenecks.
• Familiarity with networking, storage, and security concepts relevant to CNF deployments.
• Ability to analyze requirements, identify gaps, and propose effective solutions.
• Strong communication and documentation skills for cross-team collaboration.
• Experience supporting engineering and field teams in high-priority, time sensitive situations.

Preferred Qualifications:

• Prior experience in telecom, large-scale enterprise, or regulated environments.
• Exposure to compliance-driven deployment and operational processes.
• Demonstrated ability to adapt to evolving requirements and technologies.

Work Experience: 5-6 years

Educational Qualification:

BE. / B.Tech., M.E./M.Tech. or M. Sc. in Computer Science / Electronics Engineering / MCA

Location: Bangalore

Know our story: Follow us on:

LinkedIn:

Twitter: @MobileumInc

Youtube: We are Mobileum

• Develop and implement advanced statistical models and machine learning algorithms.
• Analyze large and complex scientific datasets to identify patterns, trends, and insights.
• Design and execute experiments to validate hypotheses and test model performance.
• Collaborate with research scientists and domain experts to define analytical requirements.
• Build and maintain data pipelines for data ingestion, cleaning, and transformation.
• Create clear and compelling data visualizations and reports.
• Communicate complex findings to both technical and non-technical stakeholders.
• Stay current with the latest advancements in data science, machine learning, and scientific research.
• Contribute to the development of research strategies and intellectual property.
• Ensure data integrity and ethical use of data.

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
• Minimum of 5-7 years of experience as a Data Scientist, with a focus on scientific research or R&D.
• Proficiency in programming languages such as Python or R.
• Strong experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Expertise in statistical modeling, hypothesis testing, and experimental design.
• Familiarity with big data technologies (e.g., Spark, Hadoop) and SQL.
• Excellent analytical, problem-solving, and critical thinking skills.
• Proven ability to work independently and effectively in a remote team environment.
• Strong communication and presentation skills.
• Experience in (Specific Scientific Domain - e.g., Genomics, Materials Science, Biotechnology) is a plus.

• Ph.D. in a relevant scientific discipline (e.g., Molecular Biology, Genetics, Biochemistry).
• A minimum of 12-15 years of post-doctoral research experience, with a significant portion in a leadership or Principal Investigator role.
• Demonstrated success in obtaining research grants and managing research budgets.
• Exceptional publication record in high-impact journals.
• Proven experience in mentoring and leading research teams.
• Expertise in strategic research planning and execution.
• Excellent communication, presentation, and interpersonal skills.
• Strong understanding of scientific ethics and regulatory compliance.

• Conduct experimental research in assigned areas of biomedical innovation, including laboratory work and data collection.
• Design and execute experiments using advanced molecular and cellular biology techniques.
• Analyze and interpret experimental data, employing statistical methods and bioinformatics tools.
• Contribute to the development of new research methodologies and protocols.
• Prepare research reports, presentations, and contribute to manuscript preparation for peer-reviewed publications.
• Collaborate effectively with senior researchers, post-doctoral fellows, and other members of the research team.
• Maintain accurate laboratory notebooks and records of experimental procedures and results.
• Stay up-to-date with the latest scientific literature and advancements in relevant fields.
• Assist in the maintenance of laboratory equipment and supplies.
• Present research findings at internal seminars and potentially external scientific meetings.

• Ph.D. or a Master's degree in Molecular Biology, Genetics, Biomedical Science, Biotechnology, or a related field.
• Postdoctoral experience or 3-5 years of research experience in a relevant laboratory setting.
• Proven experience with techniques such as PCR, qPCR, Western blotting, ELISA, cell culture, and gene sequencing.
• Familiarity with bioinformatics tools and data analysis software is a strong advantage.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to clearly articulate scientific concepts.
• Ability to work independently and collaboratively in a research team environment.
• Commitment to adhering to scientific rigor and ethical research practices.
• Experience in areas like CRISPR technology, single-cell analysis, or advanced imaging is a plus.

• Design and implement sophisticated statistical models and machine learning algorithms to analyze large, complex scientific datasets.
• Develop data pipelines and processes for data acquisition, cleaning, transformation, and feature engineering.
• Collaborate with research scientists and domain experts to understand research questions and translate them into data-driven solutions.
• Visualize data and model results to communicate findings effectively to both technical and non-technical audiences.
• Identify opportunities for novel research through data exploration and hypothesis testing.
• Develop and deploy predictive models for scientific applications.
• Stay current with the latest advancements in data science, machine learning, and relevant scientific fields.
• Contribute to research publications and present findings at scientific conferences.
• Mentor junior data scientists and contribute to the team's technical growth.
• Ensure the reproducibility and integrity of data analysis and model development.

• Ph.D. or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, Physics, Bioinformatics, or a related discipline.
• Minimum of 5 years of experience in data science, with a strong emphasis on scientific research or R&D environments.
• Proficiency in programming languages like Python or R, and associated data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Extensive experience with statistical modeling, machine learning techniques, and experimental design.
• Strong understanding of data manipulation, database querying (SQL), and big data technologies.
• Excellent analytical, problem-solving, and critical thinking skills.
• Proven ability to work independently and collaborate effectively in a remote team environment.
• Strong communication and presentation skills, with the ability to explain complex findings clearly.
• Experience with scientific visualization tools and techniques.
• Published research or contributions to open-source scientific projects are highly valued.

• Conduct independent and collaborative research in the field of advanced materials, focusing on synthesis, characterization, and application.
• Design and execute experiments to develop novel materials with specific desired properties (e.g., electrical, optical, mechanical, thermal).
• Utilize advanced characterization techniques such as spectroscopy (e.g., NMR, FTIR, UV-Vis), microscopy (e.g., SEM, TEM), X-ray diffraction (XRD), and thermal analysis.
• Analyze and interpret complex experimental data to draw meaningful conclusions and guide future research directions.
• Prepare high-quality scientific manuscripts for publication in peer-reviewed journals and present research findings at national and international conferences.
• Contribute to the writing of grant proposals to secure funding for research projects.
• Mentor junior researchers, post-doctoral fellows, and graduate students.
• Collaborate with interdisciplinary teams to explore potential applications of developed materials.
• Ensure compliance with laboratory safety protocols and ethical research practices.
• Manage research equipment and laboratory resources efficiently.
• Stay abreast of the latest scientific literature and technological advancements in materials science.

• Ph.D. in Materials Science, Chemistry, Physics, or a closely related scientific discipline.
• Minimum of 5-7 years of post-doctoral research experience in advanced materials development and characterization.
• Strong publication record in reputable scientific journals and demonstrated ability to present research at conferences.
• Expertise in synthesis techniques for a variety of materials (e.g., polymers, nanoparticles, composites, ceramics).
• Proficiency in operating and interpreting data from advanced characterization instruments.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills.
• Ability to work independently and as part of a collaborative research team.
• Experience in leading research projects and mentoring junior scientists is highly desirable.
• Knowledge of computational materials science or modeling is a plus.