Support Analyst - Data Entry - Fresher

Job Role : IBM Sterling OMS Solution Architect

Experience : 15+ Years

Notice period : Immediate

Location : Trivandrum / Kochi / Remote

Note : OMS & Retail domain Experience is mandatory

Job Description :

As a Software Architect – IBM Sterling OMS, you will lead the design and delivery of high-quality enterprise-class OMS solutions and play a crucial role in guiding teams through architecture, implementation, and optimization of the Sterling platform

Mandatory Skills :

IBM Sterling OMS Architecture, Retail Domain Experience, Advanced Java, Sterling OMS Configuration & Customization, APIs (REST/WebServices), DB2/Oracle, XML/JSON, MQ Integration.

Responsibilities include :

• Define solution architecture and detailed technical design for IBM Sterling OMS initiatives across programs and projects.
• Lead and mentor development teams in designing, coding, customizing, and deploying Sterling OMS solutions.
• Translate functional requirements into scalable, resilient, and maintainable Sterling OMS architecture.
• Oversee end-to-end development for IBM OMS including design, development, deployment, debugging, and documentation.
• Ensure all OMS enhancements meet performance, scalability, and security standards aligned with stakeholder KPIs.
• Manage and evaluate technical requirements related to Sterling OMS (v10.0) including configurations, APIs, workflows, and database extensions.
• Estimate effort, cost, dependencies, and timelines for new features and architectural components.
• Provide architectural governance and conduct design and code reviews to ensure consistency with best practices.
• Lead integration architecture involving OMS and external systems (WMS, ERP, Commerce, TMS, Inventory).
• Guide OMS implementation efforts (across SL, BT, or custom OMS setups) and ensure the adoption of best practices.
• Collaborate with cross-functional IT teams across logistics, order orchestration, and fulfillment applications.]
• Drive secure, scalable, cloud-ready OMS development aligned with Agile methodologies.
• Contribute to continuous improvements through automation, reusable components, and standardized technical artifacts.

Primary Skills :

Experience :

• 15+ years of IT experience, including significant hands-on architecture and solution design experience with IBM Sterling OMS.
• Strong background in Java development at an advanced level.

Technical Skills :

• Advanced expertise in IBM Sterling Order Management System including configurations, customizations, workflows, SDF, DB extensions, and APIs.
• Strong experience with DB2 and Oracle databases, including performance tuning, indexing, and complex queries.
• Proficiency in XML, JSON, and integration patterns involving MQ, WebServices, and REST APIs.
• Experience with Linux/Unix environments (Intermediate/Advanced).
• Hands-on exposure to GCP (GKE, Artifact Registry, Compute Engine) or equivalent cloud platforms.
• Strong knowledge of Git and modern DevOps practices.

Secondary Skills :

• Experience integrating Sterling OMS with MQ, WebServices, and cloud-native components.
• Knowledge of Kubernetes and Docker for OMS deployment and troubleshooting.
• Familiarity with CI/CD pipelines using GitHub Actions, Jenkins, or similar tools.
• Strong soft skills : Self-learning, collaboration, planning, and organization. 

Position: Finance Lead

Remote role

Responsibilities:

MIS (Internal & External)

1. Collate the incoming revenues through all sources namely sales, renewals, supplement sales,

Ecommerce sales and keep the revenue data update on a timely basis.

2. Collate all the expenses and outgoings in an organized manner.

3. Ensure that all expenses/outgoings are properly supported by invoices and necessary

approvals.

4. Prepare and maintain Profit and Loss (P& L) accounts and analyze financial performance.

5. Prepare and publish MIS reports for management, founders, investors and other

stakeholders to support decision making.

Payments & Compliances

6. Ensure timely payouts to Doctors/Vendors.

7. Ensure timely Statutory payments like TDS, PF, PT and filing of GST /TDS returns etc.

8. Verify the revenues earned by Sales and Services team for disbursing their incentives.

9. Advise and ensure legal compliances with respect to Companys business.

Budgeting and Forecasting

10. Periodically prepare Revenue and Expenses estimates and assist in Budgeting and

forecasting.

11. Conduct Revenue and cost analysis and advise on burn reduction and business process

efficiencies.

Audits

12. SPOC for internal and External audits and ensure correctness of data at all times.

Dashboards

13. Publish monthly Dashboards for investors founders and marketing teams review and

decision making.

Vendor & Inventory Management

14. Coordinate with vendors on stock procurement, inventory replenishment, invoice

verification, account reconciliations, payment follow-ups, and resolution of inventory and

operational issues.

15. Manage inventory records, monitor stock movements, perform periodic inventory

reconciliations, and ensure accurate inventory reporting.

Miscellaneous

16. SPOC for all Bank related.

17. Coordinate with external accounting firm, and CA firm.

18. Will be incharge for all Finance related and such other tasks assigned by the founders.

Qualifications:

• BCom is mandatory. MCom will be preferred

• At least 3 of experience corporate experience

• Proficient in Excel, knowledge of CRM tools

• Keeping abreast of all relevant taxation related rules

Experience of working in startups would be preferred

Role: Data Scientist

Location: Bangalore (Remote)

Experience: 4 - 15 years

Skills Required - Radiology, visual images, text, classical model, LLM multi model, Primarily Generative AI, Prompt Engineering, Large Language Models, Speech & Text Domain AI, Python coding, AI Skills, Real world evidence, Healthcare domain

JOB DESCRIPTION

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

Responsibilities

• LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.

• Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

• Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.

• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

• Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

• Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

• 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

• 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

• Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

• Excellent problem-solving and analytical abilities

• Strong communication skills, both written and verbal

• Ability to thrive in a collaborative and fast-paced environment

Position: Manager/Head- Data Scientist/Machine Learning Engineer

• Algorithm Development: Develop cutting-edge algorithms and predictive models to enhance customer experience, optimize inventory management, and drive sales growth
• AI/ML Model Building: Utilize expertise in data science and machine learning to create scalable AI models specifically tailored for both online platforms and brick-and-mortar stores, aiming to improve operational efficiency and customer engagement.
• Ecommerce Optimization: Collaborate with cross-functional teams to implement data-driven solutions for personalized recommendations, demand forecasting, and dynamic pricing strategies to drive online sales and enhance customer satisfaction.
• Deep Learning & Image Recognition: Leverage advanced techniques in deep learning and image recognition to develop innovative solutions for product categorization, visual search, and inventory tracking, optimizing product discovery and inventory management.
• Python Development: Proficiency in Python programming is essential for designing, implementing, and maintaining robust and scalable machine learning pipelines and models, ensuring efficient deployment and integration into existing systems.

Qualifications and Experience:

• Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related fields.
• 3 to 4 years of hands-on experience in data science, machine learning, and deep learning, preferably within the ecommerce or retail sector.
• Proven track record of successful implementation of AI/ML models with tangible business impact.
• Strong proficiency in Python, along with familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience working with image data, including feature extraction, object detection, and classification.
• Excellent problem-solving skills, ability to work independently, and communicate complex technical concepts effectively to diverse stakeholders.

Primary responsibilities will include:

• In-depth involvement and ownership of the financial and taxation due diligence function of the firm at every stage of the portfolio company’s transitional journey
• Developing a deep understanding and analysis of the portfolio company’s financial model
• Portfolio monitoring and financial/operational analysis
• Competition benchmarking and analysis
• Creation of frameworks and guidelines for key business functions both internal and with portfolio companies
• Stage-wise financial and operational goals setting and assessment for portfolio companies
• External and Internal reporting on a Quarterly and Annual basis

Qualifications:

• 4-6 years of relevant work experience
• CA preferred
• Working in Big 4 or 6 companies
• Strong analytical and interpersonal skills
• Should possess strong ethics and high integrity

What do we expect from you?

1) Brainstorming with the business development team to create a new project and sales strategy.

2) Cold calling; making multiple outbound calls to potential clients; closing sales and working with the client through the closing process.

3) Collaborating with management on sales goals, planning, and forecasting; maintaining short- and long-term business development plans.

4) Maintaining a pipeline of all sales administration using CRM software.

5) Work on targets and under pressure as this is a hardcore sales profile.

6) Be on calls and counsel students throughout the day.

• Build and manage productive, professional relationships with clients

• Maximize revenue by selling services and achieve fortnightly and monthly client retention and revenue targets

• Systematic follow-up and time-bound closures

• Customer Relationship Management: Build and maintain strong relationships with existing and potential customers. Understand their needs and offer tailored solutions to meet their mobile repair requirements.

Required Candidate profile

• Application of sales techniques

• Ability to work independently

• Hunger to learn and grow

• Customer Orientation