Pre-sales Executive

In this role, you'll be responsible for building machine learning based systems and conduct data analysis that improves the quality of our large geospatial data. You’ll be developing NLP models to extract information, using outlier detection to identifying anomalies and applying data science methods to quantify the quality of our data. You will take part in the development, integration, productionisation and deployment of the models at scale, which would require a good combination of data science and software development.

Responsibilities

• Development of machine learning models
• Building and maintaining software development solutions
• Provide insights by applying data science methods
• Take ownership of delivering features and improvements on time

Must-have Qualifications

• 4 year's experience 
• Senior data scientist preferable with knowledge of NLP
• Strong programming skills and extensive experience with Python
• Professional experience working with LLMs, transformers and open-source models from HuggingFace
• Professional experience working with machine learning and data science, such as classification, feature engineering, clustering, anomaly detection and neural networks
• Knowledgeable in classic machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN etc.).
• Experience using deep learning libraries and platforms, such as PyTorch
• Experience with frameworks such as Sklearn, Numpy, Pandas, Polars
• Excellent analytical and problem-solving skills
• Excellent oral and written communication skills

Extra Merit Qualifications

• Knowledge in at least one of the following: NLP, information retrieval, data mining
• Ability to do statistical modeling and building predictive models
• Programming skills and experience with Scala and/or Java

Greetings from GyanSys Infotech !!

Please Let me know your acceptance to apply with us for the job role. Shall take forward accordingly.

Meanwhile, please go through our website www.gyansys.com for more Info about us

About GyanSys :

GyanSys is a mid-tier global systems integrator specializing in SAP, Salesforce, Microsoft, and ServiceNow

Platforms to improve the Sales, Finance, Supply Chain, Manufacturing, Operations, and HR business

processes to support digital transformation.

Headquartered in Indiana, GyanSys was founded in 2005 and has approximately 1,000+ professionals

globally serving 125+ customers across various industries, including the manufacturing, automotive, high-

tech, CPG, and life sciences industries.

JD:

• Strong experience in SAP ABAP / ABAP OO
• Hands‑on experience with:

OData Services

RAP (Restful ABAP Programming Model)

SAP Fiori (Elements & UI Integration)

Web Dynpro ABAP

• Experience with S/4HANA development concepts
• Strong debugging and performance optimization skills
• Familiarity with clean core principles and cloud‑ready development

Company: AISpire360 Role: Senior Voice AI Engineer (Independent Contractor, Full-Time Engagement) Location: Remote (India-based preferred; must overlap 4–6 hours daily with London + US Eastern) Engagement: Full-time independent contractor — long-term Compensation: Competitive, paid in USD, monthly. Senior staff-level rates.

About AISpire360

We are building the operating system for medical practices in the US. Our flagship product is ARIA, an AI receptionist that handles inbound and outbound calls, intake, scheduling, eligibility, prior authorization workflows, and after-hours coverage for medical practices. We are in active production deployment with our first practice — a spine surgery practice at the Hospital for Special Surgery in New York. Multiple specialty practices are in our deployment pipeline.

The platform is built to be specialty-agnostic. The voice agent stack is the universal foundation. Knowledge layers (spine surgery, primary care, behavioral health, dermatology, cardiology, pediatrics, etc.) plug in as configuration. One platform, many specialties.

We are venture-backed, founder-led, and shipping. The technical decisions you make here will be in production within weeks.

What You'll Own

You are the technical anchor for the voice agent. You will be responsible for:

Real-time voice system

• Voice agent stack on ElevenLabs Conversational AI (and evaluation of Retell, Vapi, LiveKit alternatives as we scale)
• STT and TTS configuration, voice tuning, language and accent handling
• Turn-taking, barge-in, end-of-speech detection, latency budgets
• Driving end-to-end voice latency below 700ms (we currently target 600ms)
• Quality vs. cost tradeoffs across voice tier selection (Premium / Turbo / Standard)
• Silence-detection optimization for outbound calls (95% silence-discount realization)

HIPAA + PHI infrastructure

• BAA-compliant hosting architecture (AWS-based, BAA in place)
• PHI detection and redaction pipeline (AWS Comprehend Medical + custom pre-filters)
• Encryption in transit and at rest, audit logging, 7-year retention compliance
• Access controls, RBAC, kill-switch infrastructure
• HIPAA Security Rule compliance for technical safeguards

Agent orchestration and tools

• LLM integration (GPT-4o, Claude Sonnet, with model routing for cost optimization)
• Tool calling for scheduling, eligibility checks, prior auth lookups, calendar booking, task creation
• Multi-turn conversation state management
• Multi-topic call handling and structured task generation
• Safety-critical keyword detection and escalation routing

Integrations

• EHR integration (Epic, Athena, eClinicalWorks — at least one in V1)
• Insurance eligibility APIs (Availity, Change Healthcare, payer-specific)
• Calendar integration (Google Calendar, Microsoft 365, Cal.com)
• SMS and email gateways (Twilio, SendGrid)
• Practice-specific webhooks for task manager surfacing

Multi-tenant platform foundations

• Per-practice configuration loading (specialty profile + practice profile)
• Per-tenant isolation, data segregation
• Specialty-specific intake schemas, triage rules, safety keywords
• Production observability (tracing, metrics, latency monitoring per practice)

Required Experience

You should be able to demonstrate, in a live walkthrough with code in hand, that you have shipped production voice AI systems. Specifically:

• 3+ years of production voice/conversational AI experience. Not chatbots — actual real-time voice agents handling live phone calls. ElevenLabs, Retell, Vapi, LiveKit, OpenAI Realtime, Deepgram, or equivalent.
• Deep familiarity with at least 2 of: ElevenLabs Conversational AI, Retell AI, Vapi, LiveKit Agents, OpenAI Realtime API. Production deployment experience required, not demo experience.
• HIPAA and PHI handling experience in production. Not theoretical. You have signed BAAs, deployed in HIPAA-compliant environments, and built PHI redaction pipelines.
• AWS infrastructure expertise. Specifically: ECS or Fargate, Lambda, S3 with encryption, KMS, CloudWatch, IAM, VPC, BAA-eligible service selection.
• AWS Comprehend Medical or equivalent PHI detection experience.
• Twilio or equivalent telephony provider experience. SIP trunking, inbound/outbound call flows, recording and transcription pipelines.
• Latency optimization in real-time systems. You have hit sub-700ms voice latency in production and can explain the trade-offs you made.
• LLM production experience. GPT-4o, Claude, or equivalent. Prompt engineering, tool calling, structured outputs, model routing for cost.
• Python or TypeScript fluency. Production code, not scripts.
• API integration experience. REST, webhooks, OAuth, async patterns. Bonus if you've integrated with EHRs (Epic FHIR, Athena, eClinicalWorks).

Nice to Have

• Healthcare domain experience (EHRs, clinical workflows, medical terminology)
• Prior auth or eligibility verification workflow experience
• Multi-tenant SaaS architecture experience
• SOC 2 audit experience
• Experience with knowledge graphs (PostgreSQL + pgvector, Neo4j, or similar)
• Open-source contributions to LangChain, LiveKit, Pipecat, or similar voice/agent frameworks
• Demonstrated ability to ship to production fast (not perfectionism — pragmatic engineering)

What This Engagement Looks Like

• Independent contractor. You invoice us monthly. We pay in USD via wire transfer or Wise.
• Full-time engagement. This is your primary work. We expect ~40 hours/week of focused output.
• Long-term. We are not looking for a 3-month engagement. Expect this to run 12+ months.
• You sign a BAA with us. This is non-negotiable due to the nature of the work.
• You are eligible for future equity grants as we formalize the team structure.
• Direct working relationship with our CTO (London-based) and founders (NYC and India).
• Time-zone overlap required: at least 4–6 hours of daily overlap with both London and US Eastern. Indian Standard Time evenings (6 PM IST onward) work well.

How We'll Evaluate You

Our hiring process is fast and substantive. No take-homes. No multi-round bureaucracy.

1. Initial screen (30 min): Background, what you've shipped, compensation expectations, BAA-readiness.
2. Technical deep-dive (90 min): Walk us through a production voice AI system you've shipped. Code in hand. Architecture diagrams. Real production numbers — latency, cost per call, scale. We will ask follow-up questions about specific decisions you made.
3. System design (90 min, live): We give you a design problem — a HIPAA-compliant voice agent for a medical specialty we don't yet support. You design end-to-end on a whiteboard / Excalidraw. We probe trade-offs.
4. Founders + CTO conversation (60 min): Mutual fit. You ask us hard questions. We answer honestly.

Total: 4–5 hours of your time. We'll move from first conversation to offer in 7–10 days for the right candidate.

What We Will NOT Accept

• Take-home assignments produced by other AI tools. We will ask you to walk through code live; if you can't explain decisions you didn't make, the interview ends.
• Resume claims you can't substantiate. We verify employment via EPFO/UAN where applicable.
• "I've done LLM chatbots" experience without production voice agent experience. They are not the same skill.
• Engagement structures that conflict with this being your primary work.

How to Apply

Send a brief message with:

1. A link to a production voice AI system you've shipped (or, if NDA'd, a description of the architecture and your specific contribution).
2. Two or three sentences on why this role fits you specifically — not a generic cover letter.
3. Your current compensation expectation in USD per month.
4. Your earliest start date and current time-zone availability.

We read every message. We respond within 5 business days, including with "no" answers. We don't ghost.

What You’ll Do

● Partner with Product to spot high-leverage ML opportunities tied to business

metrics.

● Wrangle large structured and unstructured datasets; build reliable features and

data contracts.

● Build and ship models to:

○ Enhance customer experiences and personalization

○ Boost revenue via pricing/discount optimization

○ Power user-to-user discovery and ranking (matchmaking at scale)

○ Detect and block fraud/risk in real time

○ Score conversion/churn/acceptance propensity for targeted actions

● Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.

● Design and run A/B tests with guardrails.

● Build monitoring for model/data drift and business KPIs

What We’re Looking For

● 2–4 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.

● Proven, hands-on success in at least two (preferably 3–4) of the following:

○ Recommender systems (retrieval + ranking, NDCG/Recall, online lift;

bandits a plus)

○ Fraud/risk detection (severe class imbalance, PR-AUC)

○ Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs,

guardrails/simulation)

○ Propensity models (payment/churn)

● Programming: strong Python and SQL; solid git, Docker, CI/CD.

● Cloud and data: experience with AWS or GCP; familiarity with

warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).

● ML breadth: recommender systems, NLP or user profiling, anomaly detection.

● Communication: clear storytelling with data; can align stakeholders and drive decisions.

Strong Digital Marketing / B2B Brand Marketing profiles

Mandatory (Experience 1): Must have a minimum 4+ years of experience as a Digital Marketing Executive / Digital Marketing Professional

Mandatory (Experience 2): Hands-on experience in B2B digital marketing, with a strong focus on brand awareness, product visibility, and brand positioning

Mandatory (Experience 3): Hands-on experience in social media management, including LinkedIn and YouTube, social media calendar planning, and brand reputation management

Mandatory (Experience 4): Strong experience in SEO (On-page, Off-page, and Technical SEO), website management, and page optimization to improve online visibility and rankings

Mandatory (Experience 5): Proven experience in paid digital marketing campaigns, including Google AdWords, Meta Advertising, and LinkedIn Advertising

Mandatory (Experience 6): Experience in content creation, including blog writing, content generation, and digital publishing for B2B audiences

Mandatory (Tools): Hands-on experience with Google Analytics, Google Search Console, Google Webmasters, Google Trends, and performance tracking tools

Mandatory (Skills 1): Strong understanding of email marketing, campaign sequencing, lead nurturing funnels, programmatic advertising, and KPI reporting

Mandatory (Company): B2B SaaS / B2B Services OR Digital Marketing Agencies, with exposure to B2B client/projects (If candidate is from marketing agency, name of b2b clients and projects should be mentioned in resume)

What we need from you

• You will bring very strong consulting skills, are customer focused and know how to navigate through tough project situations
• You are highly motivated, creative in your approach to technical problems and love all things about Data!
• You spend a significant amount of time to keep your technical skills updated and are constantly looking for the next big data challenge
• You will be a key contributor to our growth and our customer’s success
• You will bring both broad and deep knowledge in Efficient Java (JSP, Servlet) Developer and going forward build the ability to architect a solution by mapping a customer business challenges
• You are resourceful and confident under pressure
• Willingness to travel as needed to customer sites

Competencies:

• Relevant experience on using tools like JSP, Servlet for web applications
• MVC frame works - Struts or Spring
• Web services- SOAP and REST WebLogic, Hibernate
• Middleware technologies MQ OSB.
• Web/App Servers: Tomcat or WebLogic or JBoss
• Experience using Angular, Micro Services using Spring, jersey, Swagger
• Good knowledge of Backend and Front-end technologies
• Good knowledge of Core Java, J2EE, Ajax, Spring, Java Script, jQuery, HTML
• Good knowledge of any RDBMS database like SQL Server, Oracle, MySQL & Cluster set-up, performance benchmarking, client-side API evaluation, knowledge of various deployment strategies
• Strong knowledge with Core JAVA concepts – Exception handling, Multi-threading, Collection, String, OOPS etc…
• Advanced understanding of Windows and Linux based operating systems
• Mainly 3-4 months hands on with reverse engineering and old legacy solutions to new modern applications
• Working knowledge using REST, HTTP, TCP, SCTP protocols
• Hands-on with JAVA frameworks such as – Thread Pool Executor, Object Pooling, Logging (Log4j preferred), XML/JSON handling

Education Criteria:

• Preferred BE degree in CS, E&C, E&E
• Proficient being a J2EE Developer (courses or project done) and data analytics skills
• Flexible to work on any projects assigned

Note: Terms & Conditions

• This opportunity will be work from office

US IT Recruiter - JOB DESCRIPTION

Being involved in the end-to-end recruitment process, including sourcing, shortlisting, scheduling follow-up, and joining

Sourcing from job portals, databases, references, and other sources

Validating the resumes based on checklists

Communicating with the candidates with status updates, reference requirement, etc

Maintaining relationships with the candidates to get references and spread networking

Managing consultant relationships. Administering the selection process/procedure effectively in all recruitments, and working toward process improvement

Adhering to compliance procedures and internal/operational risk controls in accordance with any and all applicable regulatory standards, requirements, and policies

DESIRED SKILLS AND EXPERIENCE:

Experience: - 3-6 years of relevant experience on IT recruitment.  

Different work visas (CPT, OPT, EAD, GC, TN, E3 etc), tax terms (C2C, W2, 1099) and employment types & US geography and different time zone.

Good communication skills to coordinate

Ability to work as a team player, with excellent interpersonal skills

Should be self-motivated

Should be analytical and result oriented to complete tasks within timelines

Good presentation skills with strong willingness to take ownership

Excellent knowledge of MS Office

Excellent in numbers with good attention to detail

Excellent analytical and problem-solving skills

Ability to work under pressure to meet agreed deadlines

Organized, Passion, energy, and enthusiasm to drive results

UROOJ is looking for a Front-End UI/UX Developer who is motivated to combine the art of design with the art of programming. Responsibilities will include translation of the UI/UX design wireframes to actual code that will produce visual elements of the application. You will work with the UI/UX designer and bridge the gap between graphical design and technical implementation, taking an active role on both sides.

Technical Experience:

• Minimum 5 years of interactive design experience
• Must be highly proficient in CSS3, HTML5, Javascript, Web
  technologies such as Angular2, Bootstrap,Backbone.JS, React Native,
  React.JS, JQuery, Knockout, and Redux
• Well versed with RESTful web services
• Experience developing custom reusable components
• Experience developing complex design components.
• Strong knowledge of Object-Oriented Programming
• Good understanding/experience in the following technologies would be a plus:
• Agile Methodologies
• Data Modelling / UML
• Knowledge of Unix Shell scripting

Desired Candidate Profile

• Minimum 5-10 years of experience in UI development
• Bachelor's Degree preferred, or equivalent combination of education, training, and experience
• Must possess and demonstrate a good understanding of user interface design, usability
• Extremely attentive to details and efficiency to work under tight deadlines
• Must be Result oriented & should have an ability to work independently
• Experience in resolving cross-browser compatibility issues
• Makes it a point to avoid typical loopholes and points of failure in the code and passionate about solving issues as quickly as possible
• Attention to detail and pixel perfection
• Should be independent and confident in handling daily task