Director Finance

Key Responsibilities:

Design, develop, and maintain interactive dashboards and reports using Power BI and Looker.

Write and optimize DAX queries to support complex business logic and calculations.

Collaborate with data engineers, analysts, and business stakeholders to understand reporting needs and translate them into technical solutions.

Ensure data accuracy, consistency, and performance across BI solutions.

Perform data analysis and validation to support business initiatives.

Automate and streamline reporting processes for efficiency and scalability.

Stay updated with the latest BI tools, trends, and best practices.

Required Skills & Qualifications:

Minimum 5 years of experience in BI development and data analytics.

Strong proficiency in Power BI, including DAX and Power Query.

Hands-on experience with Looker and LookML.

Solid understanding of data modeling, ETL processes, and SQL.

Ability to work with large datasets and optimize performance.

Excellent problem-solving and communication skills.

Bachelordegree in Computer Science, Information Systems, or a related field.

We are seeking an experienced AI Architect to design, build, and scale production-ready AI voice conversation agents deployed locally (on-prem / edge / private cloud) and optimized for GPU-accelerated, high-throughput environments.

You will own the end-to-end architecture of real-time voice systems, including speech recognition, LLM orchestration, dialog management, speech synthesis, and low-latency streaming pipelines—designed for reliability, scalability, and cost efficiency.

This role is highly hands-on and strategic, bridging research, engineering, and production infrastructure.

Key Responsibilities

Architecture & System Design

• Design low-latency, real-time voice agent architectures for local/on-prem deployment
• Define scalable architectures for ASR → LLM → TTS pipelines
• Optimize systems for GPU utilization, concurrency, and throughput
• Architect fault-tolerant, production-grade voice systems (HA, monitoring, recovery)

Voice & Conversational AI

• Design and integrate:
• Automatic Speech Recognition (ASR)
• Natural Language Understanding / LLMs
• Dialogue management & conversation state
• Text-to-Speech (TTS)
• Build streaming voice pipelines with sub-second response times
• Enable multi-turn, interruptible, natural conversations

Model & Inference Engineering

• Deploy and optimize local LLMs and speech models (quantization, batching, caching)
• Select and fine-tune open-source models for voice use cases
• Implement efficient inference using TensorRT, ONNX, CUDA, vLLM, Triton, or similar

Infrastructure & Production

• Design GPU-based inference clusters (bare metal or Kubernetes)
• Implement autoscaling, load balancing, and GPU scheduling
• Establish monitoring, logging, and performance metrics for voice agents
• Ensure security, privacy, and data isolation for local deployments

Leadership & Collaboration

• Set architectural standards and best practices
• Mentor ML and platform engineers
• Collaborate with product, infra, and applied research teams
• Drive decisions from prototype → production → scale

Required Qualifications

Technical Skills

• 7+ years in software / ML systems engineering
• 3+ years designing production AI systems
• Strong experience with real-time voice or conversational AI systems
• Deep understanding of LLMs, ASR, and TTS pipelines
• Hands-on experience with GPU inference optimization
• Strong Python and/or C++ background
• Experience with Linux, Docker, Kubernetes

AI & ML Expertise

• Experience deploying open-source LLMs locally
• Knowledge of model optimization:
• Quantization
• Batching
• Streaming inference
• Familiarity with voice models (e.g., Whisper-like ASR, neural TTS)

Systems & Scaling

• Experience with high-QPS, low-latency systems
• Knowledge of distributed systems and microservices
• Understanding of edge or on-prem AI deployments

Preferred Qualifications

• Experience building AI voice agents or call automation systems
• Background in speech processing or audio ML
• Experience with telephony, WebRTC, SIP, or streaming audio
• Familiarity with Triton Inference Server / vLLM
• Prior experience as Tech Lead or Principal Engineer

What We Offer

• Opportunity to architect state-of-the-art AI voice systems
• Work on real-world, high-scale production deployments
• Competitive compensation and equity (if applicable)
• High ownership and technical influence
• Collaboration with top-tier AI and infrastructure talent

Hiring : Salesforce Vlocity (Industry cloud) + OmniStudio

and Order Management is plus 

EXP- 8+ yrs

Shift timings : 9 Am To 7 PM

Location : Remote

Job Description:

Overall 6+ years of experience with 2+ years of experience with Vlocity implementation

Hands-on experience in Force.com platform using APEX, VisualForce, Process builders, flows

Experience with Salesforce Vlocity platform capabilities, including DataRaptors, 

Integration Procedures, Calculation Matrices and Procedures, OmniScripts, various cards UI framework and building Vlocity custom Templates

Should have expertise in Salesforce.com standard functionality and features (Sales, Services, Community and Commerce clouds)

Working experience with Salesforce Lightning Aura and Lightning Web Component

Deployment of Omniscript from one environment to another environment

Hand-on experience on Integration, especially good Knowledge in JSON and how integration works in Vlocity

Good knowledge of omniscript UI modification, Building Vlocity custom Templates

Good experience in Salesforce configuration and mapping features to the business requirements

Should be comfortable working in Agile – user stories, features, story points. 

Certification :

Vlocity Platform certification is mandatory and other industry certifications (CPQ, Order Management) are a plus

Salesforce Certifications are Mandatory

We are looking for a SAP PLM DMS Consultant with in-depth knowledge of Document Management System configuration and integration. Candidate must be proficient in DMS object links, document info records, status management, and CAD interface. Experience in managing engineering change processes is preferred.

Responsibilities:

• Design, implement, and maintain scalable and reliable database solutions on the AWS platform.
• Architect, deploy, and optimize DynamoDB databases for performance, scalability, and cost-efficiency.
• Configure and manage AWS OpenSearch (formerly Amazon Elasticsearch Service) clusters for real-time search and analytics capabilities.
• Design and implement data processing and analytics solutions using AWS EMR (Elastic MapReduce) for large-scale data processing tasks.
• Collaborate with cross-functional teams to gather requirements, design database solutions, and implement best practices.
• Perform performance tuning, monitoring, and troubleshooting of database systems to ensure high availability and performance.
• Develop and maintain documentation, including architecture diagrams, configurations, and operational procedures.
• Stay current with the latest AWS services, database technologies, and industry trends to provide recommendations for continuous improvement.
• Participate in the evaluation and selection of new technologies, tools, and frameworks to enhance database capabilities.
• Provide guidance and mentorship to junior team members, fostering knowledge sharing and skill development.

Requirements:

• Bachelor’s degree in computer science, Information Technology, or related field.
• Proven experience as an AWS Architect or similar role, with a focus on database technologies.
• Hands-on experience designing, implementing, and optimizing DynamoDB databases in production environments.
• In-depth knowledge of AWS OpenSearch (Elasticsearch) and experience configuring and managing clusters for search and analytics use cases.
• Proficiency in working with AWS EMR (Elastic MapReduce) for big data processing and analytics.
• Strong understanding of database concepts, data modelling, indexing, and query optimization.
• Experience with AWS services such as S3, EC2, RDS, Redshift, Lambda, and CloudFormation.
• Excellent problem-solving skills and the ability to troubleshoot complex database issues.
• Solid understanding of cloud security best practices and experience implementing security controls in AWS environments.
• Strong communication and collaboration skills with the ability to work effectively in a team environment.
• AWS certifications such as AWS Certified Solutions Architect, AWS Certified Database - Specialty, or equivalent certifications are a plus.

Strategic Partnerships Head - Y Combinator backed Shopify-like platform

About Merito :

Roles and Responsibilities

Design and implement email marketing campaigns for lead generation and branding.

Proofread emails for clarity, grammar, and spelling.

Identify target audience and grow our email list.

Ensure mobile-friendly email templates.

Analyze campaign performance and suggest improvements.

Report on sales revenue generated from email marketing efforts.

Conceptualizing marketing campaigns that speak directly to the pain points of existing and prospective clientele.

Collaborating with graphic designers to improve the appearance layout of outputs.

Maintaining a database of customers who have opted to receive our correspondence.

Should know email marketing tools and email marketing automation.

• Document technical and functional specifications
• Perform unit testing of objects/ solutions created
• Perform configuration, integration, and personalizations in Oracle HCM EBS/Cloud
• Work in a functional and technical capacity and analyze business requirements, design, develop and deploy solutions
• Excellent troubleshooting, analytical and problem-solving skills
• Explore & investigate the client's pain areas, extend the scope, and keep the client satisfied

• Minimum a Bachelor’s degree.
• 3 to 10 years of experience as an Oracle HCM Techno-Functional Consultant
• 30% Functional and 70% Technical
• Strong experience in core HR, Payroll, Fast Formula, OTL and SSHR
• Should have expertise in Oracle HCM Cloud advanced tools such as HCM Extracts, HDL, PBL, BI Publisher, OTBI, Application Security, Page Composer, Page Configurator, REST APIs, SOAP, Webservices
• Able to provide strong leadership to develop best practices for effective Techno functional support for the enterprise business process area
• Good communication skills
• In-depth knowledge of the business process and capability to understand business requirements.