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Job Title: BMC Helix ITSM / Remedy Developer

Experience: 5 – 10 Years

Location: Pune / Bangalore (Onsite)

Employment Type: Full-time

Notice Period: Immediate joiners / 0–15 days preferred

Skills:

BMC Helix ITSM, Remedy AR System, Smart IT, Digital Workplace, ITSM Modules, CMDB, Incident Management, Change Management, JavaScript, Workflow Customization, Integrations, REST APIs

Job Description:

Sanglob Business Services is hiring an experienced BMC Helix / Remedy Developers for immediate openings.

Key Responsibilities:

• Develop and customize BMC Helix ITSM applications
• Work on Incident, Change, Problem & Service Request Management modules
• Build workflows, filters, escalations and forms in Remedy AR System
• Integrate Helix with external applications/APIs
• Support Smart IT / Digital Workplace implementations
• Troubleshoot production issues and optimize existing workflows
• Collaborate with business and technical teams

Requirements:

• 5+ years in BMC Remedy / Helix
• Strong hands-on with ITSM modules
• Experience with AR System development/customization
• Good knowledge of integrations and APIs
• Good communication skills

Good to Have:

• Helix Digital Workplace
• CMDB / Discovery exposure
• ITIL knowledge

Apply:

Interested candidates can apply on Cutshort or share profiles directly.

Immediate joiners preferred. Referrals welcome.

Requirements:

• Undergraduate degree or equivalent experience.
• Working knowledge of AS400-Cobol.
• Familiarity with CL and DB2
• Basic knowledge of theories, practices, and procedures in a function or skill.
• Willing to depend on others for instruction, guidance, or direction.

Job Description

Phonologies is seeking a Senior Data Engineer to lead data engineering efforts for developing and deploying generative AI and large language models (LLMs). The ideal candidate will excel in building data pipelines, fine-tuning models, and optimizing infrastructure to support scalable AI systems for enterprise applications.

Role & Responsibilities

• Data Pipeline Management: Design and manage pipelines for AI model training, ensuring efficient data ingestion, storage, and transformation for real-time deployment.
• LLM Fine-Tuning & Model Lifecycle: Fine-tune LLMs on domain-specific data, and oversee the model lifecycle using tools like MLFlow and Weights & Biases.
• Scalable Infrastructure: Optimize infrastructure for large-scale data processing and real-time LLM performance, leveraging containerization and orchestration in hybrid/cloud environments.
• Data Management: Ensure data quality, security, and compliance, with workflows for handling sensitive and proprietary datasets.
• Continuous Improvement & MLOps: Apply MLOps/LLMOps practices for automation, versioning, and lifecycle management, while refining tools and processes for scalability and performance.
• Collaboration: Work with data scientists, engineers, and product teams to integrate AI solutions and communicate technical capabilities to business stakeholders.

Preferred Candidate Profile

• Experience: 5+ years in data engineering, focusing on AI/ML infrastructure, LLM fine-tuning, and deployment.
• Technical Skills: Advanced proficiency in Python, SQL, and distributed data tools.
• Model Management: Hands-on experience with MLFlow, Weights & Biases, and model lifecycle management.
• AI & NLP Expertise: Familiarity with LLMs (e.g., GPT, BERT) and NLP frameworks like Hugging Face Transformers.
• Cloud & Infrastructure: Strong skills with AWS, Azure, Google Cloud, Docker, and Kubernetes.
• MLOps/LLMOps: Expertise in versioning, CI/CD, and automating AI workflows.
• Collaboration & Communication: Proven ability to work with cross-functional teams and explain technical concepts to non-technical stakeholders.
• Education: Degree in Computer Science, Data Engineering, or related field.

Perks and Benefits

• Competitive Compensation: INR 20L to 30L per year.
• Innovative Work Environment for Personal Growth: Work with cutting-edge AI and data engineering tools in a collaborative setting, for continuous learning in data engineering and AI.

Experience required:

• Experience in developing enterprise wide web-based n-Tier applications using Microsoft and JavaScript technology stack.
• Fluent knowledge and hands-on experience in C# ASP.Net WebAPI with .Net Core/ .Net 5+, Angular (4/5+) with TypeScript, Angular Material, CSS, HTML 5, Bootstrap.
• Knowledge of nHibernate, IoC Containers, any SQL DB and any NoSQL DB would be an added advantage.
• Having experience in container technology (Kubernetes/Dockers) and microservices implementation would be an added advantage.
• Hands on experience in unit testing using tools like xUnit and mocking framework etc. CI/CD process are an added advantage
• Good knowledge and experience of OOAD, SOA and RESTful based patterns and implementation.
• Good understanding of Design patterns and their implementation
• Should be able to work independently with new technologies
• You may reach us 

Position: Call Quality Analyst

Monitoring Calls:

Listen to recorded or live calls between customer service representatives and customers.

Evaluate the call based on predefined quality metrics and guidelines.

Quality Assessment:

• Assess and score calls on various criteria, including but not limited to, professionalism, communication skills, adherence to scripts or protocols, problem-solving abilities, and compliance with company policies.
• Feedback and Coaching:
• Provide constructive feedback to call center agents on their performance, highlighting strengths and areas for improvement.
• Offer coaching and training to help agents enhance their skills and meet quality standards.
• Reporting and Documentation:
• Maintain detailed records and documentation of evaluations, scores, feedback, and coaching sessions.
• Generate regular reports on individual and team performance for management review.
• Root Cause Analysis:
• Identify recurring issues or trends in calls and collaborate with relevant departments (e.g., training, operations) to address and resolve 
• Compliance and Policy Adherence:
• Ensure that agents adhere to company policies, legal requirements, and industry regulations during customer interactions.
• Process Improvement:
• Propose improvements to call center processes, scripts, training materials, or policies based on insights gained from call evaluations.
• Training and Development Support:
• Assist in the development and delivery of training materials and programs for call center agents.
• Conduct refresher training sessions on specific skills or areas identified for improvement.
• Quality Assurance Metrics:
• Collaborate with stakeholders to establish and refine key performance indicators (KPIs) for call quality.
• Monitor and analyze performance metrics to ensure they align with organizational goals.
• Stakeholder Communication:
• Communicate findings, trends, and improvement recommendations to call center management, supervisors, and relevant departments.

Qualifications:

• Minimum 2 years of experience as a Call Quality Analyst.
• Previous experience in a call center or customer service role is often preferred.
• Strong analytical skills and attention to detail.
• Excellent communication skills, both written and verbal.
• Proficiency in using call monitoring software and tools.
•  Knowledge of industry-specific regulations and compliance standards (if applicable).

1.   7 to 12-14 years of experience as a Software Developer.

2.   Experience in .Net technologies - C#, ASP.net is must.

3.   Experience in developing REST based APIs.

4.   Experience in building web user interface.

5.   Good to have experience in developing single page apps using modern JS framework.

6.   Skills in cross browser development.

7.   Understanding of Agile methodology.

8.   Excellent trouble shooting and communication skills.

9.   Knowledge of Azure will be an added advantage.

JOB DESCRIPTION -

1. Developing and implementing web-based applications using .Net technology and MS-SQL.
2. Developing front end with highly responsive user interface concept using React concept.
3. Identifying web-based user interaction.
4. Participate in requirement analysis.
5. Collaborate with internal teams and positive mindset to help and seek help.
6. Documentation of application development changes and updates.

TECHNICAL SKILLS

1. Expert in C#, ASP.Net, Web API, MS SQL Server.
2. Good to have experience in React and workflows such as Redux or Flux, MongoDB.
3. Knowledge of HTML, CSS and JavaScript.
4. Familiar with source control system (GIT, SVN).

 Strong experience in front-end design and development minimum 3+ Year to implement responsive, robust/secure, user-friendly/functional, network -sensitive web applications.  Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.  Experience with modern frameworks such as Nodejs, AngularJS Express  Experience in building API and WebSockets for client-server communication with security considerations.  Experience with server-side.  Experience with web services API integration (Rest, JSON, XML).  Ability to understand requirements and map to technical implementation.  Strong knowledge of best practices and modern web design trends is necessary.  Excel at rapid prototyping and at writing good code.  Experience with modern version control.  (GIT or BitBucket).  Experience with testing/debugging in multiple platforms.  Experience with HTML CSS frameworks such as bootstrap.  Understanding of general user experience and UI design principles.  Agile methodologies.  Self-motivated, thinking up and executing own ideas. 

Desired Candidate Profile Below are the qualifications and skills that are expedcte of a full-stack developer:

 Bachelor’s degree in computer science, engineering, or a related technical field  Excellent knowledge of front-end web programming languages, such as HTML, CSS, JavaScript, and AngularJS, with ability to render server-side and client-side content  A working knowledge of shopify app development with technologies, Node, Javascript, React, HTML, CSS3, AWS etc and MongoDB or relevant databases.  Familiarity with common programming design patterns and best practices  Experience with common web development tools and services, such as version control software, package managers, and CI/CD pipelines  Excellent written and verbal communication skills  Expert in JavaScript, DOM, CSS3 and HTML

• NLU, Text, Speech, Image Processing
• Excited about Machine Learning and AI
• Want to work on a highly saleable, performance-optimized infrastructure that elastically handles customer needs
• Innovate, Design, and prototype solutions for Digital Assistant and Bots platform to handle heavy loads
• Build and maintain our platform and automation frameworks to ensure maximum uptime and predictability while preventing outages and service interruptions or degradations
• Analyze system failures and develop rapid response solutions to ensure such failures do not reoccur
• Work cross-functionally with product development, Product Management, Program Management and Cloud Infra operations teams
• Partner with Engineering to provide the infrastructure and services required to enable innovation
• Predict and provide notice of potential system vulnerabilities for current and future solutions and implementations. Provide specific recommendations and guidance to address such vulnerabilities
• Analyze, build and maintain all automation tools and processes to ensure the highest standards of reliability and robustness
• Fully understand our customer's service needs and ensure we meet these needs

Preferred Qualifications

• NLU, Text, Speech, Image Processing
• Excited about Machine Learning and AI
• Want to work on a highly saleable, performance-optimized infrastructure that elastically handles customer needs
• Innovate, Design, and prototype solutions for Digital Assistant and Bots platform to handle heavy loads
• Build and maintain our platform and automation frameworks to ensure maximum uptime and predictability while preventing outages and service interruptions or degradations
• Analyze system failures and develop rapid response solutions to ensure such failures do not reoccur
• Work cross-functionally with product development, Product Management, Program Management and Cloud Infra operations teams
• Partner with Engineering to provide the infrastructure and services required to enable innovation
• Predict and provide notice of potential system vulnerabilities for current and future solutions and implementations. Provide specific recommendations and guidance to address such vulnerabilities
• Analyze, build and maintain all automation tools and processes to ensure the highest standards of reliability and robustness
• Fully understand our customer's service needs and ensure we meet these needs
• No matter your role in our team, you will find yourself in an exciting and challenging environment where every person is empowered to show initiative, be outspoken, and be proactive and not reactive. Oracle is dedicated to the continual growth and development of its staff, striving constantly to strengthen our expertise as well as develop new skills. Our team is spread all around the world in four continents - we provide a full range of opportunities and challenges to apply your kills and grow your career in this new and exciting arena.

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning