Open Positions at Nihilent

Technical Expertise:

Strong hands-on experience with .NET Core/Framework, C#, and related Microsoft technologies.

Proficiency in Angular (latest versions) and TypeScript.

Experience with database technologies such as SQL Server and Entity Framework.

Knowledge of Microservices architecture, RESTful APIs, and modern design principles.

Leadership Skills:

Proven ability to lead and mentor technical teams.

Strong problem-solving skills and a results-oriented mindset.

Tools and Frameworks:

Experience with version control systems like Git.

Familiarity with DevOps tools (e.g., Jenkins, Azure DevOps) and cloud platforms (e.g., Azure, AWS).

Other Requirements:

Bachelor’s degree in computer science, Information Technology, or a related field.

Excellent verbal and written communication skills.

Strong organizational skills with attention to detail.

6-8 years of experience of overall experience

3+ years of experience as a Technical Lead

Data Scientist, GCP, Machine Learning, AI, Deep Learning

Data Analyst (BA), DBT, tableau, Power BI, GCP, SQL, Data Visualization, Big Query, SQL

Experience on webMethods development, Design, Implementation, Integration and Maintenance of enterprise Integration.

Integration experience with Software AG webMethods suite - utilizing webservices and enterprise service bus toolset(Software AG webMethods 10.x preferred).

Expert technical knowledge and experience with enterprise system Integration Technologies.

Knowledge on components like Integration Server, Designer, UM, MWS, Wm Deployer.

Database development technologies and platforms including relational database design, development, and performance considerations, Stored Procedures.

Perform code and configuration deployments using cross Vista.

Strong in implementing integration solutions using integration methods and Technologies covering Web Services, SOAP, JSON,REST APIs and XML.

Software AG API Gateway Knowledge is advantage.

Key Requirements:

5+ years of experience in BI, data analysis, or business consulting.

Strong domain expertise in manufacturing and/or sales.

Proven experience in client-facing roles with stakeholder management.

Proficiency in BI tools (e.g., Power BI, or Qlik) and SQL.

Familiarity with data warehousing, ETL processes, and cloud platforms (Azure, AWS, or GCP).

Exposure to data science concepts (regression, forecasting, clustering) is a strong plus.

Excellent communication, storytelling, and consulting skills.

Bachelor or Master degree in Engineering, Business, Statistics, or a related field.

Key Responsibilities:

Design, develop, and deploy Generative AI models using state-of-the-art architectures (e.g., Transformers, Diffusion models).

Build and fine-tune LLM-powered agents capable of multi-step reasoning, task planning, and tool use.

Work with frameworks like LangChain, AutoGPT, BabyAGI, CrewAI, or similar agent orchestration tools.

Integrate models with REST APIs, vector databases (e.g., Pinecone, FAISS, Chroma), and external systems.

Optimize inference pipelines for performance, latency, and scalability.

Collaborate with product managers and data scientists to prototype and productionize AI features.

Stay updated on recent advancements in Generative AI and autonomous agents.

Required Qualifications:

3–4 years of hands-on experience in Machine Learning / Deep Learning, with at least 1–2 years in Generative AI and/or AI Agents.

Proficiency in Python and ML libraries such as PyTorch, TensorFlow, Transformers (Hugging Face).

Experience with LLM APIs (OpenAI, Claude, Mistral, etc.) and building LLM-based applications.

Solid understanding of prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and multi-modal learning.

Familiarity with agent orchestration frameworks and LLM tool chaining.

Strong problem-solving and communication skills.

10+ years of experience in product management, preferably in marketing with FMCG domain

Proven track record of successfully launching and managing products.

Experience with agile development methodologies.

Skills:

Strong analytical and problem-solving skills.

Manage both internal and external stakeholders

Financial estimations

Negotiation skills

Excellent communication and interpersonal skills.

Ability to prioritize and manage multiple projects across multiple products simultaneously.

Strong understanding of user experience and design principles.

Familiarity with product analytics tools (e.g., Google Analytics, Mixpanel).

Basic technical understanding.

Education:

Bachelor’s degree in engineering or equivalent experience.

MBA is a plus.

Preferred Qualifications:

Experience with Selenium/Jira/Testrail etc

Experience in Figma

5+ years of DS and AI/ML project implementation experience in one of the cloud environments (AWS/Azure/GCP). Advanced / intermediate level certification is a plus

Hands-on experience in data handling using SQL and advanced analytics tools such as Python

Hands on Experience in analyzing and visualizing data using tools such as Tableau, PowerBI

Experience in scoping, development, validation & deployment of explanatory, predictive, and prescriptive analytic solutions

Experience in stakeholder management, driving project governance, and linking analytics to business value delivered

Knowledge of Deep Learning models and its applications in Natural Language Processing (NLP), AI/GenAI and Computer Vision(CV) in solving business problems

Excellent presentation and communication skills

Experience: 4+ years in Mainframe development

Skills: Expertise in COBOL, JCL, DB2, and CICS

Strong analytical and problem-solving skills

Role Overview:

As a Senior Platform Engineer, you will work closely with the Platform Lead on the design, development, and deployment of our data platform on Google Cloud Platform (GCP). You will work closely with cross-functional teams to ensure the efficient and secure handling of data. Your expertise in Python, DBT, and SQL will be critical in driving our data strategy forward. Additionally, you will bring advanced visualisation skills (Tableau, Looker Studio) and experience with DevOps support (CI/CD - Azure DevOps), debugging, code reviews, and change control.

Key Responsibilities:

Design & Development:

Architect and implement scalable and secure data pipelines on GCP.

Utilise Python, DBT, and SQL to build, maintain, and optimise ETL processes.

Develop data models, schemas, and data warehouse solutions.

Implement advanced GCP services (GCP Composer, Cloud Run, BigQuery, Vertex AI, VPC Service Control, Cloud Function).

Collaboration & Communication:

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements.

Communicate project status, risks, and issues to senior management.

Foster a culture of continuous improvement and innovation within the team.

Operations & Maintenance:

Monitor and optimise the performance of the data platform.

Troubleshoot and resolve issues related to data pipelines and infrastructure.

Conduct root cause analysis for failures and incidents.

Visualization & Reporting:

Develop and maintain data visualisations and dashboards using Tableau or Looker Studio.

DevOps & Support:

Support and build CI/CD pipelines and version control (Azure DevOps).

Perform debugging, code reviews, and ensure change control processes are followed.

Leadership & Strategy:

Provide technical leadership and guidance on best practices for data & cloud engineering.

Qualifications:

Experience:

Minimum of 5 years of experience in cloud engineering or data engineering.

Proven experience with Google Cloud Platform (GCP).

Expertise in Python programming.

Proficiency in DBT (Data Build Tool) and SQL.

Advanced understanding of SQL.

Experience with GCP services like GCP Composer, Cloud Run, Cloud Function BigQuery, Vertex AI.

Skills:

Strong understanding of data warehousing concepts and practices.

Experience with CI/CD pipelines and version control (e.g., Azure DevOps).

Excellent problem-solving skills and attention to detail.

Strong technical leadership and communication skills.

Advanced Python coding skills.

Strong analytical skills.

Self-sufficient attitude or quickly able to obtain necessary information.

Good to Have:

Security and Compliance: Strong understanding of best practices in cloud security and incident response.

Scalability and Performance: Expertise in design and implement scalable data architectures to efficiently handle large volumes of data.

Cost Management: Experience in monitoring and managing GCP costs, ensuring efficient use of resources and budget adherence.

Terraform: Proficiency in Terraform for infrastructure as code (IaC) to automate the provisioning and management of GCP resources.

Certifications: Google Professional Cloud Architect certification.

Responsibilities

Work with team members and the IA Leads to understand and document the requirements including business problem or opportunity, data requirements, and technology requirements

Documentation of requirements and user stories in Jira/Confluence, as required

Performing data analysis, data modelling, data profiling of various large data sources in structured and unstructured formats and communicating results to internal and external stakeholders.

Demonstrate the ability to solve business problems and manage stakeholder priorities and reporting needs.

Visualise data, produce business intelligence assets such as reports and dashboards using BI tools (such as Tableau or PowerBI) to communicate complex ideas and extract relevant insights.

Promote a greater awareness and deeper understanding of data analytics ensuring Leaders have a good understanding of the value of data driven analysis and decision making applied to identifying opportunities to uplift business performance.

Provide input into handover to the support team for new builds/enhancements

Knowledge sharing amongst the data analytics chapter and project/squad team members

Experience:

Minimum of 5 years of experience in data analysis, modelling, ideally in a big data environment

At least 5 years experience in requirements gathering in a data

At least 3 years experience in visualisation (ideally Tableau)

Experience working in a large, complex Enterprise in a technology data-related role

Skills (mandatory):

Experience delivering end-to-end insights from understanding the business problem, sourcing & transforming data using SQL and presenting insights to achieve the desired outcome.

Demonstrated ability to combine commercial acumen with analytics skillset to identify insights, trends and opportunities that result in a tangible impact.

Experience in cleaning and manipulating data in a complex environment.

Highly effective verbal and written communication, allowing you to synthesise the complex into something that is simple and actionable for your stakeholders.

Demonstrated application of a growth mindset and continuous improvement.

Strong analytical,critical thinking and problem solving skills

Strong verbal and written communication skills with the ability to work both collaboratively and independently.

Develop and maintain efficient and scalable data models using DBT to support analytics and reporting needs.

Experience with various data modelling techniques such as Star Schema, Data Vault, and Slowly Changing Dimensions (SCD) to ensure data accuracy and integrity.

Write and optimise complex SQL queries to manipulate and analyse large datasets.

Perform data validation and ensure data quality and integrity across all datasets.

Optimise existing data models and queries for performance and efficiency.

Optimise and maintain existing Tableau dashboards for performance and usability.

Ensure the quality and accuracy of data visualisations in Tableau and Looker Studio through rigorous testing and validation.

Strong business and commercial acumen: ability to transform the WHAT into the WHY to uncover new opportunities for innovation.

Data storyteller: strong ability to present complex data and insights concisely to various stakeholders.

Skills (Desired):

Google Cloud Platform experience

Experience working with Personally Identifiable Information (PII) data

Experience working with unstructured data

Retail industry experience

Proficient with programming languages including R or Python

Excellent problem-solving skills and end to end quantitative thinking

Statistical knowledge to guide and support A/B testing or other experimentation frameworks

Minimum of seven years of experience in ServiceNow development and architecture.

Proven expertise in designing and implementing complex ServiceNow solutions, including custom applications and integrations.

Successfully managed the end-to-end implementation/ customization of at least two ServiceNow modules like SPM,HRSD, ITAM, AppEngine etc.

Strong understanding of JavaScript, HTML, CSS, and ServiceNow scripting languages.

A strong background of ServiceNow development

Implement technology specific best practices and standards.

Evaluation of new features and produce comprehensive analysis and recommendations. Perform and participate in product road map planning.

Lead ServiceNow upgrades planning and execution.

Provide excellent customer service, leadership, communication, problem solving and decision-making skills.

Demonstrate strong prioritization, time management and organizational skills.

ServiceNow Certified Application Developer (CAD) and Certified Implementation Specialist (CIS) certifications are highly preferred.

Candidates from Pune location Preferred.

Experience : 3 to 6 years (ServiceNow development and architecture).

Proven expertise in designing and implementing complex ServiceNow solutions, including custom applications and integrations.

successfully managed the end-to-end implementation/ customization of at least two ServiceNow modules like SPM,ITAM,AppEngine etc.

Strong understanding of JavaScript, HTML, CSS, and ServiceNow scripting languages.

A strong background of ServiceNow development

Implement technology specific best practices and standards.

Evaluation of new features and produce comprehensive analysis and recommendations. Perform and participate in product road map planning.

Lead ServiceNow upgrades planning and execution.

Provide excellent customer service, leadership, communication, problem solving and decision making skills.

Demonstrate strong prioritization, time management and organizational skills.

ServiceNow Certified Application Developer (CAD) and Certified Implementation Specialist (CIS) certifications are highly preferred.

Candidates from Pune location Preferred.

Key Responsibilities:

Project Planning and Execution:

Lead the end-to-end project management process, from initiation to closure.

Develop comprehensive project plans, including scope, timelines, resources, and budget.

Ensure project deliverables meet quality standards and are completed on time and within budget.

Monitor and report on project progress, identifying and mitigating risks as they arise.

Technical Leadership:

Provide technical guidance and support to the project team, particularly in areas of Data Engineering

Collaborate with technical leads and architects to ensure alignment of technical solutions with business objectives.

Drive continuous improvement in project delivery processes and methodologies.

Stakeholder Management:

Engage with stakeholders to gather requirements, define project scope, and establish clear project goals.

Facilitate regular communication and reporting to stakeholders, ensuring transparency and alignment.

Manage stakeholder expectations and address any issues or concerns promptly.

Team Management:

Lead and mentor a multidisciplinary team of developers, engineers, and analysts.

Foster a collaborative and high-performance team environment.

Conduct regular performance reviews and provide constructive feedback to team members.

Technical Competencies:

Strong understanding of data engineering principles, including data modeling, ETL processes, and data warehousing.

Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, Oracle).

Experience in Java development, including core Java, J2EE, and related frameworks (e.g., Spring, Hibernate).

Knowledge of software development best practices, including design patterns, code reviews, and testing methodologies.

Experience with version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines.

Qualifications:

Bachelor’s or master’s degree in computer science, Engineering, or a related field.

8 to 10 years of experience in technical project management.

Proven experience in managing large-scale, complex projects with multiple stakeholders.

Strong analytical and problem-solving skills.

Excellent communication and interpersonal skills.

PMP, PRINCE2, or similar project management certification is a plus.

Developing and maintaining Java EE applications

Creating and debugging both batch and online JAVA programs.

Good knowledge of JAVA functions

Responsible for technical analysis and design, code, unit testing and coordination with EQA team during testing phase.

Handle deployments, and coordination with multiple deployment team.

Support UAT and fixing bugs.

Support during production releases and provide post implementation support.

Knowledge of Web services/API Strong analytical & problem-solving skills Analyze Project requirement and coordination with multiple team.

Excellent oral and written skills to ensure crisp and clear communication with Client Experienced in working in Agile environment.

Knowledge of Azure Devops

Design and deliver the end-to-end technical implementations of Microsoft Power Platform solutions

Gather business requirements and translate them into technical solutions

Lead and mentor the team members in Power Platform development best practices

Implement governance measures such as the CoE Starter Kit, DLP Policies, and Environment Strategy. Drive the adoption of the Power Platform

Familiarity with Dynamics 365 or Sharepoint

Experience for Data & Machine Learning Engineer

Minimum of 5 years of experience in data engineering.

At least 3 years of experience in Machine Learning engineering.

Strong skills in developing and deploying:

Data pipelines on cloud platforms like Azure, AWS, or Google Cloud.

Machine Learning models for real-world use cases.

APIs and microservices for data products.

Expertise in DevOps practices, CI/CD, and Infrastructure as Code.

Experience in working with technologies such as:

Python, Spark, Databricks, PySpark.

SQL and NoSQL databases.

Data modeling and data architecture.

Familiarity with Agile methodologies (e.g., Scrum, Kanban).

Strong understanding of data governance, privacy, and security principles.

Experience working in a large, complex Enterprise in a technology data-related role.

Experience with change management processes in software/data delivery.

GCP Implementation using BigQuery and Airflow.

Unnesting of JSON files in Google BigQuery

Google Cloud Run (using container services, python)

Hands on experience in GCP services like composer, cloud function, cloud run

Experience in developing CI/CD pipelines.

Experience in DBT scripts, docker files and knowledge on datavault is a plus.

Strong technical knowledge and hands on experience of python or java

At least 4 years of experience in full-stack development.

Proficiency in:

Front-end development using HTML, CSS, JavaScript, and frameworks like Angular/React.

Back-end technologies like Node.js, ASP.NET, and RESTful APIs.

Experience with secure coding practices and building scalable web applications.

Proven track record of:

Developing end-to-end software applications.

Maintaining and monitoring production-grade applications.

Expertise in cloud platforms such as Azure, AWS, or Google Cloud.

Familiarity with DevOps, CI/CD pipelines, and Test-Driven Development.

Knowledge of software development lifecycle best practices.

Experience working in a large, complex Enterprise in a technology data-related role.

Qualifications-

College diploma or university degree in the field of computer science and/or 5 to8 years equivalent work experience

Industry recognised qualifications including but not limited to Cisco Certified Network Associate (CCNA),

Check Point Certified Security Administrator (CCSA) and Microsoft

Avaya / Extreme

Checkpoint / Palo Alto

Netscaler ADC

Technical Skills-

WAN technologies (MPLS, Dynamic Routing, SD-WAN) Azure / Other Cloud providers.

LAN technologies (Extreme Appliances, SPBM, Dynamic Routing).

Wireless technologies like Aerohive.

Security appliances (Palo Alto, Checkpoint).

Load Balancers (Alteon, Citrix ADC) and WAN Optimisers (Riverbed).

System Management technologies; SolarWinds.

Cloud base Internet proxy solutions (zScaler).

Significant experience supporting large/enterprise level Infrastructures.

Excellent analytical and problem-solving skills to achieve prompt resolution.

A good knowledge of current business trends and potential technical ramifications of

changing business environments on current and future technology.

Candidate should have worked on Angular 8+ versions

Candidate should have good experience in HTML, CSS, JavaScript, Unit Testing

Their key responsibilities include

Help Project Managers appreciate the intent of key process areas

Help PMs carry out the processes effectively

Help PMs tailor the process as per the needs of the customer

Participate in key gate/milestone reviews to assess if the milestones are met

Help PMs maintain the quality records

Frequently review projects to ensure that the processes are implemented effectively

Facilitate delivery cadence reviews (PM/DM, DM/DH reviews), drive the agenda, keep

minutes and ensure that the actions completed and reviewed in the next review

Report project health to the management

Conduct configuration audits

Suggest improvements to QMS as needed for the projects

Facilitate continuous improvement activities like causal analysis

Ensure that any process issue reported in the project is addressed in time

Identify training needs for the PMs

Plan, execute, and oversee inspection and testing of incoming and outgoing product to

confirm quality conformance to specifications and quality deliverables

Analyze and investigate product complaints or reported quality issues to ensure closure

in accordance with company guidelines and external regulatory requirements

Monitor risk-management procedures, and maintain and analyze problem logs to identify

and report recurring issues to management and product development

Provide training and support to quality assurance team on systems, policies, procedures, and core processes.

Qualifications and Skills

Required Qualifications

5 years' experience in Software Quality Assurance activities like process definition,

implementation, guidance and auditing in ISO and CMMi certified Software services /

products organizations

Good understanding and hands on experience of all aspects of ISO 9001 and CMMi

standards and various Software Development life cycles

Knowledge and experience of other quality certifications like ISO 20000, 27001, TMM

and CQA certification will be an added advantage

Preferred Qualifications

PMP, PRINCE2, or PgMP certification is highly desirable.

Job Summary:

We are looking for an experienced **AI Tech Lead** to lead our AI team in designing, developing, and deploying artificial intelligence solutions. The AI Tech Lead will play a key role in defining technical strategies, overseeing complex AI projects, mentoring team members, and collaborating closely with stakeholders to deliver impactful AI-driven solutions.

Technical Leadership in AI Service Integration:

Lead the end-to-end design, development, and deployment of scalable AI solutions.

Define and implement best practices in AI development.

Collaborate with cross-functional teams, including product management, data engineering, and software development, to align AI solutions with business goals.

Conduct research and stay up to date on AI advancements to integrate the latest techniques and tools.

Drive innovation in areas like natural language processing, computer vision, and reinforcement learning.

Mentor and guide junior AI developers and data scientists, fostering a collaborative and growth-oriented environment.

Communicate complex AI concepts to stakeholders and offer actionable insights based on data-driven analysis.

Backend Development & AI Consumption:

Leverage cloud platforms to implement AI capabilities, including NLP, computer vision, and generative AI (e.g., text generation, and image creation).

Manage API configurations, data processing, and permissions to enable efficient and secure AI service consumption.

System Optimization & Performance Tuning:

Ensure backend infrastructure is optimized for the efficient processing of AI workloads, with a focus on scalability, reliability, and cost efficiency.

Troubleshoot, monitor and improve system performance, working to minimize latency and maximize uptime.

Cross-Functional Collaboration:

Work with data scientists, front-end developers, and product teams to ensure AI solutions are effectively integrated and aligned with ness goals.

Document technical processes, API specifications, and architectural decisions to support maintainability and scalability.

Qualifications:

Bachelor’s or Master’s degree in computer science, Engineering, or a related field.

Technical Skills:

Proficiency in backend technologies such as Node.js, Python, or similar.

Hands-on experience with cloud-based AI/ML services (AWS, Azure, Google Cloud) and generative AI models.

In-depth knowledge of microservices architecture, RESTful APIs, and data management for AI workflows.

Preferred Skills:

Strong problem-solving skills, with the ability to lead projects from concept to completion.

Experience with NLP, computer vision, and generative AI models (e.g., GPT, DALL-E, Stable Diffusion).

Soft Skills:

Strong leadership and people management skills with a focus on team development and growth.

Excellent problem-solving skills and the ability to think strategically and innovate.

Strong communication skills to translate technical concepts into actionable business insights.

Ability to work in a dynamic, fast-paced environment with multiple stakeholders.

Collaboration & Documentation:

Work closely with cross-functional teams (data scientists, product managers, frontend/back-end engineers) to integrate AI solutions effectively.

Document technical details, API integrations, and implementation guides for AI services and bots.

Required Qualifications:

Bachelor’s degree in computer science, Engineering, or a related field.

3+ years of experience in AI development, with a strong focus on consuming cloud-based AI services with backend experience.

Hands-on experience with one or more cloud platforms (AWS, Azure, Google Cloud) and their AI services.

Experience with bot frameworks like Microsoft Bot Framework, Google Dialogflow, or Rasa.

Strong understanding of backend technologies (e.g., Python, Node.js) for AI and bot integrations and consumption.

Excellent problem-solving skills, with a focus on user experience and performance.

Preferred Qualifications:

Familiarity with RESTful APIs and JSON.

Knowledge of DevOps practices for AI solutions, including CI/CD, version control, and containerization (Docker).

Experience with NLP libraries (e.g., spaCy, NLTK) and chatbot tools (e.g., Botpress).

Strong communication and teamwork skills.

Power Apps,power Automate, power pages and Co-pilot

ITAM (HAM &SAM ) , ITSM - End to end implementation project experience

Excellent communication and probing skills to get relevant details from stakeholders.

Experience in migration projects as an architect – tenant-to-tenant migration, multi-tenant, office 365 migration, server migration etc. (Microsoft)

Expert understanding of Azure Cloud Infrastructure design, migration to cloud and cloud infra management.

Should have a good skill in documentation, design, and articulation.

Experience in migration projects as an architect – tenant-to-tenant migration, multi-tenant, office 365 migration, server migration from one AD domain to another AD domain etc. (Microsoft)

The cloud experience is required however the real focus is around the migration of a business IT environment from one Office 365 tenant to another, server environment from one domain to another. Importantly having a clear understanding of an approach that makes sense for a typical business, in terms of migration running order.