457 Researchers jobs in Bengaluru

JoVE is the world- leading producer and provider of video solutions with the mission to improve scientific research and education. Millions of scientists, educators and students use JoVE for their research, teaching and learning. Our institutional clients comprise over 1,000 universities, colleges, and biopharma companies, including such leaders as Harvard, MIT, Yale, and Stanford. As a rapidly growing company, with offices in the USA, UK, Australia, and India servicing clients in over 60 countries, we are seeking talented and ambitious individuals to join our company.

Candidates need to work as per the UK time zone-1:00-10:00 PM.

The Role

The Customer Success Specialist, Research will be responsible for aiding researchers and faculty at subscribing Universities and Research Institutions in North America & Europe to integrate JoVE's content into their syllabi and support training and research activities.

Responsibilities:

• Customer-facing role with a focus on outreach to Researchers and Educators to boost usage of JoVE resources in the Lab and classroom;
• Delivering presentations and webinars at: (1) exhibits and conferences (2) University/Research center seminars and workshops
• Developing relationships with key decision makers (Head of Departments, Dean of Faculties, PIs, Researchers.) and teaching/research staff at Universities and Research Institutes through daily outreach (phone calls, 1:1 meetings, emails, tailored projects etc)
• Providing customer feedback to sales, product and marketing teams
• Delivering Product Awareness within new and ongoing customer Universities and Research Institutes
• Maintaining positive ongoing relationships with customer institutes during the sales cycle, and after a sale to provide support and ensure client satisfaction and retention

Requirements:

• A Masters or PhD Degree in STEM discipline
• Excellent English communication skills
• Prior working experience in laboratory settings
• Experience in Science Communications or Customer-facing roles is considered a plus
• Thorough understanding of education and research trends and challenges in assigned content areas i.e. Biology, Chemistry, Medicine, Physics, Engineering, or Psychology
• Demonstrated ability to deliver excellent presentations for large and small groups
• Proven ability to network with scientists and decision-makers
• Open to travel

Why Join JoVE?

• You can expect compensation package competitively placed within the local market
• You will make a direct impact in accelerating science research and in improving student learning in science education
• Opportunity to work with global teams and in an environment that promotes innovation and collaboration
• Our strong promotion from within culture draws a clear path to advance your career with us

We are seeking for a 7-10 years experience AI engineer with a strong background in machine learning, programming skills, and a deep understanding of generative models. The position is responsible for turning research into practical solutions that address real-world problems while ensuring the reliability and ethical use of generative AI in their applications.

Technical Requirements:

Strong proficiency in Python for data processing and automation.

Handson experience with generative AI models and their integration into data workflows.

Handson experience with prompt engineering and LLM models (Opensource and Closesource)

Handson experience with Application development framework like LangChain, LangGraph etc.

Familiarity working with REST frameworks like Fast API, Angular, Flask and DJango.

Experience with cloud platforms (AWS, GCP, Azure) and related services is a plus.

Familiarity with containerization and orchestration tools (Docker, Kubernetes).

As a Data Analysis & Simulation Professional, the person will be responsible for:

Data Pipeline Development:

Design and implement scalable data pipelines using Python to ingest, process, and transform log data from various sources.

Generative AI Integration:

Collaborate with data scientists to integrate generative AI models into the log analysis workflow.

Develop APIs and services to deploy AI models for real-time log analysis and insights generation.

Data Monitoring and Maintenance:

Set up monitoring and alerting systems to ensure the reliability and performance of data pipelines.

Troubleshoot and resolve issues related to data ingestion, processing, and storage.

Collaboration and Documentation:

Work closely with cross-functional teams to understand requirements and deliver solutions that meet business needs.

Document data pipeline architecture, processes, and best practices for future reference and knowledge sharing.

Evaluation and Testing:

Conduct thorough testing and validation of generative models.

Research and Innovation:

Stay updated with the latest advancements in generative AI and explore innovative techniques to enhance model capabilities.

Experiment with different architectures and approaches.

Snowflake Utilization: (Good to have)

Design and optimize data storage and retrieval strategies using Snowflake.

Implement data modeling, partitioning, and indexing strategies to enhance query performance.

We are seeking for a 7-10 years experience AI engineer with a strong background in machine learning, programming skills, and a deep understanding of generative models. The position is responsible for turning research into practical solutions that address real-world problems while ensuring the reliability and ethical use of generative AI in their applications.

Technical Requirements:

Strong proficiency in Python for data processing and automation.

Handson experience with generative AI models and their integration into data workflows.

Handson experience with prompt engineering and LLM models (Opensource and Closesource)

Handson experience with Application development framework like LangChain, LangGraph etc.

Familiarity working with REST frameworks like Fast API, Angular, Flask and DJango.

Experience with cloud platforms (AWS, GCP, Azure) and related services is a plus.

Familiarity with containerization and orchestration tools (Docker, Kubernetes).

As a Data Analysis & Simulation Professional, the person will be responsible for:

Data Pipeline Development:

Design and implement scalable data pipelines using Python to ingest, process, and transform log data from various sources.

Generative AI Integration:

Collaborate with data scientists to integrate generative AI models into the log analysis workflow.

Develop APIs and services to deploy AI models for real-time log analysis and insights generation.

Data Monitoring and Maintenance:

Set up monitoring and alerting systems to ensure the reliability and performance of data pipelines.

Troubleshoot and resolve issues related to data ingestion, processing, and storage.

Collaboration and Documentation:

Work closely with cross-functional teams to understand requirements and deliver solutions that meet business needs.

Document data pipeline architecture, processes, and best practices for future reference and knowledge sharing.

Evaluation and Testing:

Conduct thorough testing and validation of generative models.

Research and Innovation:

Stay updated with the latest advancements in generative AI and explore innovative techniques to enhance model capabilities.

Experiment with different architectures and approaches.

Snowflake Utilization: (Good to have)

Design and optimize data storage and retrieval strategies using Snowflake.

Implement data modeling, partitioning, and indexing strategies to enhance query performance.

Job Description:

We are looking for a skilled HR manager to oversee all aspects of Human Resources practices and processes. You will support business needs and ensure the proper implementation of company strategy and objectives. The goal is to promote corporate values and enable business success through human resources management, including job design, recruitment, performance management, training & development, employment cycle changes, talent management, and facilities management services.

Responsibilities:

• Enhances the organization's human resources by planning, implementing, and evaluating employee relations and human resources policies, programs, and practices.
• Maintains the work structure by updating job requirements and job descriptions for all positions.
• Supports organization staff by establishing and interviewing program; counselling managers on candidate selection; conducting and analyzing exit interviews; and recommending changes.
• Prepares employees for assignments by establishing and conducting orientation and training programs.
• Manages a pay plan by conducting periodic pay surveys; scheduling and conducting job evaluations; preparing pay budgets; monitoring and scheduling individual pay actions; and recommending, planning, and implementing pay structure revisions.
• Ensures planning, monitoring, and appraisal of employee work results by training managers to coach and discipline employees; scheduling management conferences with employees; hearing and resolving employee grievances; and counselling employees and supervisors.
• Implements employee benefits programs and informs employees of benefits by studying and assessing benefit needs and trends; recommending benefit programs to management; directing the processing of benefit claims; obtaining and evaluating benefit contract bids; awarding benefit contracts; and designing and conducting educational programs on benefit programs.
• Ensures legal compliance by monitoring and implementing applicable human resource federal and state requirements, conducting investigations, maintaining records, and representing the organization at hearings.