Senior Data Cloud Architect (Consultant)

Key Responsibilities:

  Design, develop, and maintain efficient, reusable, and reliable Go code.

  Implement and integrate with back-end services, databases, and APIs.

  Write clean, scalable, and testable code following best practices and design patterns.

  Collaborate with cross-functional teams to define, design, and ship new features.

  Optimize application performance for maximum speed and scalability.

  Identify and address bottlenecks and bugs, and devise solutions to these problems.

  Stay up-to-date with the latest industry trends, technologies, and best practices.

Required Qualifications:

  Proven experience as a Golang Developer or similar role in software development.

  Proficiency in Go programming language, paradigms, constructs, and idioms.

  Experience with server-side development, microservices architecture, and RESTful APIs.

  Familiarity with common Go frameworks and tools such as Gin.

Knowledge implementing monitoring, logging, and alerting systems

  Experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB).

  Understanding of code versioning tools, such as Git.

  Strong understanding of concurrency and parallelism in Go.

  Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus.

  Excellent problem-solving skills and attention to detail.

  Ability to work effectively both independently and as part of a team.

The Machine Learning Engineer will play a critical role in supporting Bell Techlogix clients by building, operating, and optimizing AI solutions in a managed services environment. This role focuses on delivering reliable, secure, and scalable AI capabilities across Microsoft AI platforms, Kore.ai conversational AI, and ServiceNow, while also supporting broader AI initiatives and the AI Center of Excellence. 

Key Responsibilities 

•Design, deploy, and support machine learning and AI solutions in production, SLA-driven managed services environments 

•Provide operational support for AI platforms including incident response, troubleshooting, and root cause analysis 

•Monitor AI and ML model performance, data quality, and drift; implement retraining and optimization strategies 

•Build and maintain MLOps pipelines supporting model training, validation, deployment, and rollback 

•Develop and support AI workloads using Microsoft Azure AI, Azure Machine Learning, Azure OpenAI, and Copilot extensibility 

•Design, train, and optimize virtual assistants enterprise workflows 

•Implement and support AI capabilities including Predictive Intelligence, Virtual Agent, and AI Search 

•Collaborate with service desk, engineering, security, and platform teams to drive automation and continuous service improvement 

•Act as a technical escalation point for AI-related client issues and enhancement requests 

•Contribute to AI innovation initiatives, proofs of concept, and reusable solution patterns within Bell Techlogix 

Required Qualifications 

•Bachelor’s degree in Computer Science, Data Science, Machine Learning, or equivalent practical experience 

•5+ years of experience in machine learning engineering, AI development, or applied data science 

•Strong proficiency in Python, SQL, and API-based integrations 

•Hands-on experience supporting machine learning models in production environments 

•Experience working in managed services, consulting, or enterprise IT environments 

•Strong understanding of cloud platforms (Microsoft Azure preferred) 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, or Azure OpenAI 

•Hands-on experience with Kore.ai XO Platform or enterprise conversational AI 

•Experience implementing or supporting ServiceNow AI/ML, Predictive Intelligence, or Virtual Agent 

•Familiarity with MLOps, CI/CD pipelines, Infrastructure as Code (Terraform, Bicep, ARM) 

•Knowledge of Responsible AI, data governance, and enterprise security practices 

•Relevant certifications (Microsoft, ServiceNow, Kore.ai) 

Role: Relationship Manager

• Exp: min 1 year
• Min CTC : 3.60 LPA - Max CTC: of 4.80 LPA, (along with performance-based incentives + Birthday perks + Mediclaim Insurance, etc)
• Meals will be provided, as the staff will be stationed at the resorts.

Key Responsibilities of the Relationship Manager:

• Achieving stretched targets in a result-focused environment.
• To identify potential customers, create and close new business opportunities in line with the strategic direction of the company.
• To build and maintain strong client relationships by effectively handlings objections/cancellations thus ensuring a high level of customer service are met at all times.
• To prepare sales proposals for prospective clients.
• Regular liaison sales/Pre-sales and member relations department.
• To keep abreast of new products and services and undertake training as and when required.

Location: Goa, Gujarat, Maharashtra

Fynd is India’s largest omnichannel platform and a multi-platform tech company specializing in retail technology and products in AI, ML, big data, image editing, and the learning space. It provides a unified platform for businesses to seamlessly manage online and offline sales, store operations, inventory, and customer engagement. Serving over 2,300 brands, Fynd is at the forefront of retail technology, transforming customer experiences and business processes across various industries.

What will you do at Fynd?

• Run the production environment by monitoring availability and taking a holistic view of system health.
• Improve reliability, quality, and time-to-market of our suite of software solutions
• Be the 1st person to report the incident.
• Debug production issues across services and levels of the stack.
• Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realise it.
• Building automated tools in Python / Java / GoLang / Ruby etc.
• Help Platform and Engineering teams gain visibility into our infrastructure.
• Lead design of software components and systems, to ensure availability, scalability, latency, and efficiency of our services.
• Participate actively in detecting, remediating and reporting on Production incidents, ensuring the SLAs are met and driving Problem Management for permanent remediation.
• Participate in on-call rotation to ensure coverage for planned/unplanned events.
• Perform other task like load-test & generating system health reports.
• Periodically check for all dashboards readiness.
• Engage with other Engineering organizations to implement processes, identify improvements, and drive consistent results.
• Working with your SRE and Engineering counterparts for driving Game days, training and other response readiness efforts.
• Participate in the 24x7 support coverage as needed Troubleshooting and problem-solving complex issues with thorough root cause analysis on customer and SRE production environments
• Collaborate with Service Engineering organizations to build and automate tooling, implement best practices to observe and manage the services in production and consistently achieve our market leading SLA.
• Improving the scalability and reliability of our systems in production.
• Evaluating, designing and implementing new system architectures.

Some specific Requirements:

• B.E./B.Tech. in Engineering, Computer Science, technical degree, or equivalent work experience
• At least 3 years of managing production infrastructure. Leading / managing a team is a huge plus.
• Experience with cloud platforms like - AWS, GCP.
• Experience developing and operating large scale distributed systems with Kubernetes, Docker and and Serverless (Lambdas)
• Experience in running real-time and low latency high available applications (Kafka, gRPC, RTP)
• Comfortable with Python, Go, or any relevant programming language.
• Experience with monitoring alerting using technologies like Newrelic / zybix /Prometheus / Garafana / cloudwatch / Kafka / PagerDuty etc.
• Experience with one or more orchestration, deployment tools, e.g. CloudFormation / Terraform / Ansible / Packer / Chef.
• Experience with configuration management systems such as Ansible / Chef / Puppet.
• Knowledge of load testing methodologies, tools like Gating, Apache Jmeter.
• Work your way around Unix shell.
• Experience running hybrid clouds and on-prem infrastructures on Red Hat Enterprise Linux / CentOS
• A focus on delivering high-quality code through strong testing practices.

What do we offer?

Growth

Growth knows no bounds, as we foster an environment that encourages creativity, embraces challenges, and cultivates a culture of continuous expansion. We are looking at new product lines, international markets and brilliant people to grow even further. We teach, groom and nurture our people to become leaders. You get to grow with a company that is growing exponentially.

Flex University: We help you upskill by organising in-house courses on important subjects

Learning Wallet: You can also do an external course to upskill and grow, we reimburse it for you.

Culture

Community and Team building activities

Host weekly, quarterly and annual events/parties.

Wellness

Mediclaim policy for you + parents + spouse + kids

Experienced therapist for better mental health, improve productivity & work-life balance 

We work from the office 5 days a week to promote collaboration and teamwork. Join us to make an impact in an engaging, in-person environment!

Requirements

At least 5+ years of experience as a Product Designer, User Researcher or comparable role

1. Bachelor's/Master's degree in Interaction/ Experience/ Visual/ Product design or related field
2. Must have worked on large projects as an individual or in the team for mobile and web-based platforms
3. Experience of working cross-functionally in agile framework with design, product management, and engineering
4. Expertise in digital design tools (Figma, Invision, etc) and well-versed in design systems, pattern libraries, and

design methodologies.

1. Good command over visual design and knowledge of the design process
2. Portfolio of previous work must be presented incorporating product/design/sketches that demonstrate an

understanding of design thinking, wireframing, interaction design, visual design, and best practices.

Roles and responsibilities

Candidate should be able to manage cross-functional products

1. Candidate should be responsible for research and discovery of assigned product verticals

- creating user journey, user persona, user scenarios, user stories, page flows, and document them and share with

experience designers, PMs, and engineers.

- design and develop design thinking for assigned projects and uplift associate designers skills

1. Candidate should be able to manage and execute interface design for assigned product verticals

- visualize and prototype ideas to communicate concepts, conveying design ideas via sketches, wireframes, hi-

fidelity mockups, prototypes, and/or animations

- design and develop design system for assigned projects and uplift associate designers skills

- communicate with associates designers to convert ideas into high fidelity design

1. Candidate should be able to manage and execute usability testing of assigned product vertical

- conduct usability testing and responsible for writing interview scripts.

• Build, Train and Test multiple CNN models.
• Optimizing model training & inference by utilizing multiple GPUs and CPU cores.
• Keen interest in Life Sciences, Image processing, Genomics, Multi-omics analysis
• Interested in reading and implementing research papers of relevant field.
• Strong experience of Deep Learning frameworks TensorFlow, Keras, PyTorch.
• Strong programming skills in python and experience of Ski-Learn/NumPy libraries.
• Experience of training of Object detection Models like YOLOv3/Mask CNN and semantic segmentation models like DeepLab, Unet etc.
• Good understanding of image processing and computer vision algorithm like watershed, histogram matching etc.
• Experience of cell segmentation and membrane segmentation using CNNs (Optional)
• Individual Contributor

• Experience with image processing
• Experience required : 2-10 Years
• CTC :15-40 LPA
• Good python programming and algorithmic skill.
• Experience with deep learning model training using any known framework.
• Working knowledge of the genomics data in R&D

• Understanding of one or more omics data types (transcriptomics, metabolomics, proteomics, genomics, epigenomics etc.)
• Prior work experience as a data scientist, bioinformatician or computational biologist will be a big plus