11+ Neuroscience Jobs in Bangalore (Bengaluru) | Neuroscience Job openings in Bangalore (Bengaluru)

Area Sales Manager (TN/Kerala)

Qualifications

Qualifications: Bachelor’s / Master’s degree from an accredited university.

Experience Industry Expertise – Minimum 5 - 10 years of experience in the medical devices or

related industry.

Skills Required

• Sales & Business Development – Proven ability to develop strategies and achieve

sales goals.

• Customer Relationship Management – Strong experience in client handling, sales

negotiations, and market expansion.

• Technical Proficiency – Ability to adapt to new technologies, provide clinical

demonstrations, and stay updated on competitor activities.

• Communication & Presentation – Excellent verbal and written communication

skills with strong presentation abilities.

• Self-motivated & Growth-Oriented—Hunger to excel and advance in a career with

a results-driven approach.

• Strong Organizational & Interpersonal Skills – Ability to multitask, collaborate,

and manage key stakeholders effectively.

Tasks & Activities

• Develop and implement sales strategies to achieve assigned targets.

• Expand and maintain a strong customer base in the assigned region.

• Conduct market research to explore new opportunities and analyze sales data.

• Establish and manage relationships with government, corporate, and key accounts.

• Deliver technical presentations to hospital stakeholders and provide clinical support

as needed.

• Drive penetration into Tier 2 and Tier 3 markets.

• Engage with neuro, spine, ENT, and ortho surgeons to promote HRS Navigation solutions.

• Manage sales operations, customer services, and CRM systems to track performance.

• Attend conferences, industry meetings, and events to stay updated on market trends.

• Handle proposals, agreements, contracts, quotes, and purchase orders.

• Oversee dealer and stakeholder management to ensure smooth sales execution.

• Ensure timely payment collection and manage the overall sales process efficiently.

Skills Referential (Required knowledge, skills and abilities)

Technical Skills:

Python

Pyspark

SQL

ETL Aws, Azure, gcp

We are seeking a detail-oriented and innovative Chemical Engineer. The ideal candidate will be responsible for designing, developing, and optimizing processes for manufacturing, ensuring safety, quality, sustainability, and efficiency. This role requires strong problem-solving skills and the ability to work in cross-functional teams to improve production systems.

Key Responsibilities:

• Design, develop, and implement chemical processes for production.
• Monitor and optimize plant operations to improve yield, reduce costs, and minimize waste.
• Ensure compliance with health, safety, and environmental regulations.
• Conduct research and feasibility studies to develop new products and processes.
• Collaborate with R&D, production, and quality teams to improve efficiency.
• Troubleshoot technical issues in manufacturing and propose solutions.
• Prepare and maintain technical documentation, reports, and SOPs.
• Implement best practices for sustainability and energy efficiency.

Qualifications & Skills:

• Bachelor’s or Master’s degree in Chemical Engineering (or related field).
• Strong knowledge of chemical processes, thermodynamics, fluid mechanics, and reaction engineering.
• Experience with process simulation tools (e.g., Aspen Plus, HYSYS, MATLAB) is an advantage.
• Good analytical, mathematical, and problem-solving skills.
• Strong communication and teamwork abilities.
• Knowledge of safety standards and environmental regulations.

Primary Responsibilities

• Understand current state architecture, including pain points.
• Create and document future state architectural options to address specific issues or initiatives using Machine Learning.
• Innovate and scale architectural best practices around building and operating ML workloads by collaborating with stakeholders across the organization.
• Develop CI/CD & ML pipelines that help to achieve end-to-end ML model development lifecycle from data preparation and feature engineering to model deployment and retraining.
• Provide recommendations around security, cost, performance, reliability, and operational efficiency and implement them
• Provide thought leadership around the use of industry standard tools and models (including commercially available models and tools) by leveraging experience and current industry trends.
• Collaborate with the Enterprise Architect, consulting partners and client IT team as warranted to establish and implement strategic initiatives.
• Make recommendations and assess proposals for optimization.
• Identify operational issues and recommend and implement strategies to resolve problems.

Must have:

• 3+ years of experience in developing CI/CD & ML pipelines for end-to-end ML model/workloads development
• Strong knowledge in ML operations and DevOps workflows and tools such as Git, AWS CodeBuild & CodePipeline, Jenkins, AWS CloudFormation, and others
• Background in ML algorithm development, AI/ML Platforms, Deep Learning, ML Operations in the cloud environment.
• Strong programming skillset with high proficiency in Python, R, etc.
• Strong knowledge of AWS cloud and its technologies such as S3, Redshift, Athena, Glue, SageMaker etc.
• Working knowledge of databases, data warehouses, data preparation and integration tools, along with big data parallel processing layers such as Apache Spark or Hadoop
• Knowledge of pure and applied math, ML and DL frameworks, and ML techniques, such as random forest and neural networks
• Ability to collaborate with Data scientist, Data Engineers, Leaders, and other IT teams
• Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.
• Willing to flex daily work schedule to allow for time-zone differences for global team communications
• Strong interpersonal and communication skills

Primary Responsibilities:

• We need strong SQL database development skills using the MS SQL server.
• Strong skill in SQL server integration services (SSIS) for ETL development.
• Strong Experience in full life cycle database development project using SQL server.
• Experience in designing and implementing complex logical and physical data models.
• Exposure to web services & web technologies (Javascript, Jquery, CSS, HTML).
• Knowledge of other high-level languages (PERL, Python) will be an added advantage
• Nice to have SQL certification.

Good to have:

Technical Design Lead

If you are an advanced Software developer, having experience in leading a team, who has experience in developing platforms or frameworks, components and having knowledge of the open-source software/ tools/ technologies, then you are the one we are looking for.

Preference for candidates who have been exposed to Blockchain and Fin-Tech domains. The candidate will have to architecting and develope Software Programmes based on requirements provided.

The codebase the candidate develops should be of high quality and should be modular, scalable and re-usable at all times. There should be a focus all the time to promote SRE (Site Reliability Engineering) to ensure all of the services are Highly-Available and Fault Tolerant at all times.

Other Responsibilities:

• • Responsible for understanding the Business requirements and validating the framework design and execution methodology.
  • Ensure high quality software systems are developed by the software development team within defined standards.
  • Flexible to adapting & introducing new and latest technologies to organization.
  • Maintain current knowledge of technology landscape and developments.
  • Innovation & Optimizing R&D.
  • Defining the software technology strategy, architecture, and road-map.
  • Would love to do more coding yourself, but accept that you can bring most value by helping others to excel.
  • Should have built large scale applications with modern web frameworks & technologies
  • Should be a fast thinker, hands on manager and strong communicator and think and act like an entrepreneur.
  • Consolidate our technology platforms and create plans for each Track, analyze and monitor technology performance metrics.
  • Take the initiative in thought leadership, innovation and creativity.