AI/ML, NLP, Chatbot Developer

College Profile: 

The main objective of KGiSL Institute of Technology is to

provide industry embedded education and to mold the students for leadership in

industry, government, and educational institutions; to advance the knowledge

base of the engineering professions; and to influence the future directions of

engineering education and practice. The ability to connect to the future

challenges and deliver industry-ready human resources is a credibility that

KGISL Educational Institutions have progressively excelled at. Industry -

readiness of its students is what will eventually elevate an institution to star

status and its competitiveness in the job market. Choice of such an institution

will depend on its proximity to industry, the relevance of its learning

programme to real-time industry and the active connect that a student will have

with industry professionals.

Job Title: Assistant Professor, Professor

Departments: Cybersecurity

Qualification: Ph.D., ME/M.Tech, B.E/B.Tech

Experience: 5-15 years

Preferred: Immediate Joiner

Candidate Profile:

Candidate should have completed their Ph.D., PG and UG in the relevant discipline

Candidate should have Good Communication Skills

Commitment towards work

Strong Technical Knowledge

Candidate should possess 60% and above in their UG and PG course.

1. Network Engineering & Team Leadership

• Architect & Maintain: Design, implement, and manage secure, scalable network architectures (LAN, WAN, VPN, and cloud infrastructure on AWS) supporting both corporate offices and widespread on-site clinic networks.
• Lead the Team: Mentor and manage a team of system/network engineers, setting clear milestones, managing internal ticketing escalations, and conducting performance reviews.
• Uptime & Redundancy: Ensure 99.9% uptime for critical health-tech delivery systems by monitoring network traffic, troubleshooting bottlenecks, and implementing failover mechanisms.

2. Data Privacy & Compliance Safeguards

• Privacy Infrastructure: Implement strict access control mechanisms, data encryption standards (at rest and in transit), and zero-trust network frameworks to protect sensitive personal health information (SPI/PHI).
• Access Control & Governance: Define, implement, and enforce robust Access Control policies (including Least Privilege and Role-Based Access Control) across all corporate and clinical network environments to prevent unauthorized data exposure.
• Access Reviews & Audits: Establish and oversee routine, formalized Access Review processes, ensuring user permissions, administrative privileges, and third-party access are regularly audited, validated, and revoked when no longer required.
• Regulatory Alignment: Align IT, network policies, and access governance protocols with Indian data protection laws (DPDP Act) and global healthcare standards (HIPAA principles).
• Audit Readiness: Conduct routine network vulnerability assessments, comprehensive security audits, and firewall updates to preemptively patch security risks and maintain clean compliance logs.

3. Data Understanding & Visualization

• Infrastructure Analytics: Look beyond raw logs. Analyze data flow patterns, bandwidth utilization, and system performance logs to deeply understand network health.
• Executive Dashboards: Transform complex IT operational data, compliance metrics, and access audit logs into intuitive, actionable visual dashboards using tools like Tableau, Power BI, or AWS QuickSight.
• Data-Driven Decisions: Present clear data trends to the executive leadership team regarding resource utilization, forecasting future capacity needs, and justifying infrastructure spend.

Required Qualifications & Experience:

• Education: B.E. / B.Tech / MCA in Computer Science, Information Technology, or a related technical discipline.
• Experience: 6 to 9 years of experience in IT network engineering, with at least 2 years in a team lead or supervisory capacity. Experience in Health-tech, Fintech, or highly regulated domains is a massive plus.

Technical Stack Expertise:

• Networking: Deep knowledge of TCP/IP, routing protocols (BGP, OSPF), firewalls (Fortinet, Cisco, Palo Alto), VPN configuration, and AWS Cloud Networking (VPC, Route 53, Direct Connect).
• Data Privacy & Access Management: Proven familiarity with Identity & Access Management (IAM) policies, Role-Based Access Control (RBAC), data masking techniques, data classification protocols, and managing formalized user access review cycles.
• Data Visualization: Hands-on proficiency with visualization platforms (Tableau, Power BI, or AWS QuickSight).

Snowflake Data Engineer

Job Description:

·        Overall Experience : 5+ years of experience in Snowflake and Python.

·        Experience of 5+ years in data preparation. BI projects to understand business requirements in BI context and understand data model to transform raw data into meaningful data using snowflake and Python.

·        Designing and creating data models that define the structure and relationships of various data elements within the organization. This includes conceptual, logical, and physical data models, which help ensure data accuracy, consistency, and integrity.

·        Designing data integration solutions that allow different systems and applications to share and exchange data seamlessly. This may involve selecting appropriate integration technologies, developing ETL (Extract, Transform, Load) processes, and ensuring data quality during the integration process.

·        Create and maintain optimal data pipeline architecture.

·        Good knowledge of cloud platforms like AWS/Azure/GCP

·        Good hands-on knowledge of Snowflake is a must. Experience with various data ingestion methods (Snow pipe & others), time travel and data sharing and other Snowflake capabilities

·        Good knowledge of Python/Py Spark, advanced features of Python

·        Support business development efforts (proposals and client presentations).

·        Ability to thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success.

·        Excellent leadership and interpersonal skills.

·        Eager to contribute to a team-oriented environment.

·        Strong prioritization and multi-tasking skills with a track record of meeting deadlines.

·        Ability to be creative and analytical in a problem-solving environment.

·        Effective verbal and written communication skills.

·        Adaptable to new environments, people, technologies, and processes

·        Ability to manage ambiguity and solve undefined problems.

Strong proficiency in at least one major cloud platform - Azure, GCP(Primary) or AWS. Azure + GCP (Secondary) preferred.  Having proficiency in all 3 is a significant plus.

· Design, develop, and maintain cloud-based applications and infrastructure across various cloud platforms.

· Select and configure appropriate cloud services based on specific project requirements and constraints. 

· Implement infrastructure automation with tools like Terraform and Ansible. 

· Write clean, efficient, and well-documented code using various programming languages. (Python (Required), Knowledge of Java, C#, JavaScript is a plus). 

· Implement RESTful APIs and microservices architectures. 

· Utilize DevOps practices for continuous integration and continuous delivery (CI/CD). 

· Design, configure, and manage scalable and secure cloud infrastructure for MLOps. 

· Monitor and optimize cloud resources for performance and cost efficiency. 

· Implement security best practices throughout the development lifecycle. 

· Collaborate with developers, operations, and security teams to ensure seamless integration and successful deployments. 

· Stay up-to-date on the latest cloud technologies, MLOps tools and trends 

· Strong analytical and problem-solving skills.

• Minimum 2years working experience in Application development using Angular 5/6.
• Strong proficiency in JavaScript and the JavaScript object model, JS MVC frameworks, redux such as Angular5/6, State Management With NgRx(Required).
• RestAPI Integration via Http,
• ThirdParty Integrations (Angular Material or PrimeNG),
• Lazyloading ( custom preloading Strategy ),
• Validation,
• Reactive Architecture ( RxJs Observables & Operators )
• Unit Testing (*not mandatory but would be a plus),

Responsibilities and Duties

• Be part of a full team delivering a complete front-end application
• Ensuring high performance on mobile and desktop
• Cooperating with the back-end developer in the process of building the RESTful API
• Develop/Design, implement, and test high-quality web applications in a cloud-based environment.
• Help brainstorm and plan new applications and web services.
• You will take ownership of technical problems and their resolution, including proactively
• Communicating with product managers, developers, architects, and the operations team.
• Provide accurate effort-estimates for deliverables.
• Be committed to the deadlines.

Our client is a pet-care focused digital aggregator across various categories such as food, accessories, toys and grooming essentials. Their focus segment is the rapidly increasing community of pet parents. They offer expert-led online pet care consultation, training and healthcare services and products for dogs and cats, covering the lifecycle of a pet acting as a one stop shop. It is headquartered in Bangalore and was co-founded by startup veterans of whom 2 are IIM-Lucknow alumni and one is a Chartered Accountant. Our venture capital-backed client is funded by tier 1 investors and has raised approx. $3.5 mn in funding.

As a Growth Marketing Manager, you will be responsible for the strategy and execution of acquisition campaigns, across all the digital platforms like Facebook, Google, Affiliates and Partnerships, etc.

Desired Candidate Profile

1. Data Steward :

Data Steward will collaborate and work closely within the group software engineering and business division. Data Steward has overall accountability for the group's / Divisions overall data and reporting posture by responsibly managing data assets, data lineage, and data access, supporting sound data analysis. This role requires focus on data strategy, execution, and support for projects, programs, application enhancements, and production data fixes. Makes well-thought-out decisions on complex or ambiguous data issues and establishes the data stewardship and information management strategy and direction for the group. Effectively communicates to individuals at various levels of the technical and business communities. This individual will become part of the corporate Data Quality and Data management/entity resolution team supporting various systems across the board.

Primary Responsibilities:

• Responsible for data quality and data accuracy across all group/division delivery initiatives.
• Responsible for data analysis, data profiling, data modeling, and data mapping capabilities.
• Responsible for reviewing and governing data queries and DML.
• Accountable for the assessment, delivery, quality, accuracy, and tracking of any production data fixes.
• Accountable for the performance, quality, and alignment to requirements for all data query design and development.
• Responsible for defining standards and best practices for data analysis, modeling, and queries.
• Responsible for understanding end-to-end data flows and identifying data dependencies in support of delivery, release, and change management.
• Responsible for the development and maintenance of an enterprise data dictionary that is aligned to data assets and the business glossary for the group responsible for the definition and maintenance of the group's data landscape including overlays with the technology landscape, end-to-end data flow/transformations, and data lineage.
• Responsible for rationalizing the group's reporting posture through the definition and maintenance of a reporting strategy and roadmap.
• Partners with the data governance team to ensure data solutions adhere to the organization’s data principles and guidelines.
• Owns group's data assets including reports, data warehouse, etc.
• Understand customer business use cases and be able to translate them to technical specifications and vision on how to implement a solution.
• Accountable for defining the performance tuning needs for all group data assets and managing the implementation of those requirements within the context of group initiatives as well as steady-state production.
• Partners with others in test data management and masking strategies and the creation of a reusable test data repository.
• Responsible for solving data-related issues and communicating resolutions with other solution domains.
• Actively and consistently support all efforts to simplify and enhance the Clinical Trial Predication use cases.
• Apply knowledge in analytic and statistical algorithms to help customers explore methods to improve their business.
• Contribute toward analytical research projects through all stages including concept formulation, determination of appropriate statistical methodology, data manipulation, research evaluation, and final research report.
• Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders.
• Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as needed.

Additional Responsibilities:

• Strong understanding of the Software Development Life Cycle (SDLC) with Agile Methodologies
• Knowledge and understanding of industry-standard/best practices requirements gathering methodologies.
• Knowledge and understanding of Information Technology systems and software development.
• Experience with data modeling and test data management tools.
• Experience in the data integration project • Good problem solving & decision-making skills.
• Good communication skills within the team, site, and with the customer

Knowledge, Skills and Abilities

• Technical expertise in data architecture principles and design aspects of various DBMS and reporting concepts.
• Solid understanding of key DBMS platforms like SQL Server, Azure SQL
• Results-oriented, diligent, and works with a sense of urgency. Assertive, responsible for his/her own work (self-directed), have a strong affinity for defining work in deliverables, and be willing to commit to deadlines.
• Experience in MDM tools like MS DQ, SAS DM Studio, Tamr, Profisee, Reltio etc.
• Experience in Report and Dashboard development
• Statistical and Machine Learning models
• Python (sklearn, numpy, pandas, genism)
• Nice to Have:
• 1yr of ETL experience
• Natural Language Processing
• Neural networks and Deep learning
• xperience in keras,tensorflow,spacy, nltk, LightGBM python library

Interaction :  Frequently interacts with subordinate supervisors.

Education : Bachelor’s degree, preferably in Computer Science, B.E or other quantitative field related to the area of assignment. Professional certification related to the area of assignment may be required

Experience :  7 years of Pharmaceutical /Biotech/life sciences experience, 5 years of Clinical Trials experience and knowledge, Excellent Documentation, Communication, and Presentation Skills including PowerPoint

We seek to identify top React JS talent to join us to grow with our dev team. As a React.js Developer, you will be involved from conception to completion with projects that are technologically sound and aesthetically impressive.

Required Skills:
Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
Experience working on web technologies (HTML/CSS)
Good experience in React.js and its core principles
Prior experience with popular React.js workflows (such as Flux or Redux)

Please refer your friends or colleagues who might be suitable for this position.