HR Generalist (Female)

We are seeking a Senior UI/UX Designer & Developer to lead user‑experience and interface design across our AI platform. The ideal candidate will have deep experience crafting complex digital products from concept to launch, be highly proficient in Figma and other modern design/prototyping tools, and be motivated to translate AI‑driven workflows into intuitive experiences for clinicians, researchers and business users. This role demands excellent problem‑solving skills, the ability to conduct user research and synthesise insights into design decisions, and the technical know‑how to collaborate with full‑stack engineers on the implementation.

Key Responsibilities

• Lead UX Strategy & Research
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• Conduct discovery research, interviews and design-thinking sessions to understand user needs, pain points and mental models, especially in clinical and med‑tech contexts .
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• Gather and interpret analytics, telemetry and user feedback to inform product roadmaps and AI‑assisted experiences.
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• Design AI‑Enabled User Journeys
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• Craft user flows and interaction patterns for AI‑powered features (e.g., conversational interfaces, predictive insights) ensuring the outputs are trustworthy and actionable.
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• Collaborate with product and engineering teams to scope MVP features, create wireframes and high‑fidelity mock‑ups, and iteratively refine the designs based on feedback .
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• Develop & Prototype
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• Build interactive prototypes using Figma and other rapid‑prototyping tools; implement responsive UI components using HTML, CSS, JavaScript/TypeScript or React.
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• Work alongside full‑stack developers to translate designs into production code, ensuring accessibility, performance and adherence to design systems .
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• Establish Design Systems & Best Practices
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• Define and maintain a scalable design system with pattern libraries, UI components and design tokens.
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• Champion UX best practices such as usability testing, heuristic evaluations and inclusive design .
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• Evaluate emerging AI design tools and generative capabilities to accelerate design workflows.
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• Cross‑Functional Collaboration
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• Communicate design decisions effectively to stakeholders, including product managers, AI scientists, clinicians and business leaders .
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• Participate in Agile ceremonies, provide UX input on backlog prioritisation and contribute to sprint planning and reviews .
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Qualifications & Experience

• Experience:
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• 6-10 years of UI/UX design experience with at least 3–5 years designing complex SaaS platforms or AI‑enabled products in healthcare, med‑tech or regulated industries.
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• Demonstrated success leading end‑to‑end design projects—from discovery through research, prototyping, user testing and production.
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• Strong understanding of AI concepts (generative AI, NLP, predictive analytics) and how they impact user experience.
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• Skills:
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• Expert proficiency with Figma and similar design tools like Sketch, Adobe XD and ProtoPie.
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• Strong knowledge of design systems, human‑centered methodologies and data‑driven UX decision‑making .
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• Proficiency in front‑end technologies (HTML5, CSS3/SASS, JavaScript/TypeScript or React) and understanding of responsive design and accessibility standards .
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• Ability to communicate designs and concepts clearly and persuasively to non‑design audiences .
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• Experience with Agile/Scrum, CI/CD workflows and collaboration tools such as Jira, Confluence and Git.
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• Preferred:
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• Familiarity with healthcare regulations (HIPAA, SaMD) and designing compliant user experiences.
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• Experience working with global teams (US, India, EMEA) and designing multi‑language interfaces.
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What Success Looks Like

• Deliver intuitive, accessible interfaces that empower clinicians and researchers to leverage AI‑driven insights with minimal friction.
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• Establish a cohesive design system across the IntraIntel.ai platform and ensure consistency across modules.
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• Collaborate closely with development teams to ensure seamless hand‑offs and high‑quality implementation of UI components.
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• Mentor junior designers and developers, fostering a culture of experimentation, empathy and user advocacy.
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Application & Evaluation

Candidates should be prepared to present a portfolio demonstrating complex project work, particularly AI‑enabled or healthcare‑related interfaces. We value clear communication, a passion for solving real‑world problems and the ability to translate technological possibilities into human‑centered solutions.

Principal Software Engineer

Company Summary :

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com

Position Responsibilities :

About the Role 

We are seeking a highly motivated AI Solutions Engineer to join Deltek’s growing AI Center of Excellence team to design, develop, deploy, and optimize internal Artificial Intelligence and Machine Learning solutions that solve complex business challenges. The ideal candidate combines deep expertise in AI, machine learning, Generative AI, Large Language Models (LLMs), SLMs, software engineering, cloud computing, and MLOps/LLMOps to build scalable, production-grade AI applications. 

The AI Solutions Engineer will collaborate with AI data scientists, architects, and engineering teams to deliver innovative AI-driven solutions while ensuring security, scalability, governance, and operational excellence. This role reports to the Senior AI Solutions Architect. 

Key Responsibilities 

AI & Machine Learning Development 

• Design, build, train, evaluate, and deploy machine learning and deep learning models. 
• Develop Generative AI solutions using Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, and Mistral. 
• Implement Retrieval-Augmented Generation (RAG), prompt engineering, fine-tuning, and AI agent frameworks. 
• Build NLP, recommendation systems, forecasting, predictive analytics, and intelligent automation solutions. 
• Optimize model performance, scalability, latency, and cost. 

Software Engineering & Solution Development 

• Develop production-grade AI applications using Python and modern software engineering practices. 
• Build APIs, microservices, and AI-powered enterprise applications. 
• Integrate AI services with enterprise systems, business applications, and data platforms. 
• Apply coding standards, automated testing, CI/CD, and version control best practices. 

MLOps & AI Operations 

• Design and implement MLOps pipelines for model development, deployment, monitoring, and lifecycle management. 
• Automate model training, validation, testing, and deployment processes. 
• Monitor model performance, data drift, hallucinations, and operational metrics. 
• Support continuous improvement and reliability of AI platforms. 

Cloud & Platform Engineering 

• Develop AI solutions on Azure, AWS, or Google Cloud platforms. 
• Leverage cloud-native AI services, containerization, Kubernetes, and serverless technologies. 
• Build scalable architectures supporting enterprise AI workloads and real-time inference. 

AI Governance & Security 

• Ensure compliance with Responsible AI, security, privacy, and regulatory requirements. 
• Implement model governance, explainability, bias mitigation, and risk management practices. 
• Maintain standards for secure design, deployment, and operation of AI solutions. 

Required Qualifications 

Education 

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field. 

Experience 

• 5+ years of software engineering or machine learning development experience. 
• 2+ years of hands-on experience developing and deploying Agentic AI, Generative AI or AI/ML solutions in production environments. 

Technical Skills 

Programming & Engineering 

• Strong expertise in Python. 
• Experience with Java, ReactJS, JavaScript, or similar programming languages. 
• Solid understanding of algorithms, data structures, APIs, and software design principles. 

Artificial Intelligence & Machine Learning 

• Machine Learning and Deep Learning concepts and frameworks. 
• Model training, evaluation, optimization, and deployment. 

Generative AI 

• Large Language Models (LLMs) & SLMs 
• Prompt Engineering 
• Retrieval-Augmented Generation (RAG) 
• AI Agents and Agentic Workflows 
• Fine-tuning and model customization 
• Vector embeddings and semantic search 

Frameworks & Tools 

• PyTorch, TensorFlow, Scikit-learn 
• LangChain, LlamaIndex, Semantic Kernel, MCP, A2A and Transformers 
• FastAPI, Flask 

Data & Analytics 

• SQL and NoSQL databases 
• Data pipelines, ETL, and data modeling 
• Experience with AWS, Azure and Google 

MLOps & DevOps 

• MLflow, Kubeflow, Azure ML, SageMaker 
• Docker and Kubernetes 
• Git, GitHub, Azure DevOps, Jenkins 
• CI/CD automation and model monitoring 

Cloud Platforms 

• AWS (preferred) 
• AWS Bedrock or Azure OpenAI Service 
• AWS SageMaker 
• Google Vertex AI 

Preferred Qualifications 

• Experience designing enterprise-scale AI platforms and products.  
• Knowledge of multi-agent architectures and autonomous AI systems.  
• Experience with vector databases such as Pinecone, Snowflake Cortex, Pgvector, Weaviate, Chroma, or Azure AI Search.  
• Understanding of AI governance, compliance, and Responsible AI frameworks.  
• Relevant certifications in Azure AI, AWS Machine Learning, or Google Cloud AI.

Role & Responsibilities

We are building our founding team and are looking for folks who are excited to get their hands dirty in a 0 to 1 journey. If you are expecting a fully working playbook that you can execute upon, Zenskar is probably not the right fit for you at this point. However, if you are excited about creating the playbook from scratch and scaling the existing playbook, we would love to hear from you

You will directly work with the founders.

Outbound sales is a critical to generating meetings with qualified prospects. You will lay the foundation for and execute upon our outbound sales strategy.

The primary objective is to generate leads and setup meetings with qualified prospects by optimizing our outbound sales machinery - iterating on channels, messaging, ICP (ideal customer profile), tooling etc.

Executive – Customer Success (for a leading SaaS Product)

About Sulekha.com

Sulekha is one of India’s largest digital business and consumer brands that has transformed local services ecosystem through a powerful need fulfillment and monetization platform that generates qualified, parameterized leads to local service SMBs every day in 40 cities. Sulekha’s unique, scalable digital platform, stapled to an expanding digital-mobile-local opportunity, has positioned it to serve in 24,000+ location-categories for purchase-oriented users (24+ M user needs p.a.) and growth-oriented businesses (2+ M active local businesses).

About Pro-Manage

Pro-Manage is a pioneering tech- and AI-based Marketing-as-a-Service platform developed to serve multi-location enterprise clients increase, manage and measure digital engagement opportunities with prospects and customers, leveraging several valuable business and technology partnerships with global leaders such as Google GMB/Chat, Microsoft Bing, Meta WhatsApp/Instagram, Knowlarity Cloud telephony and others. Pro-Manage is a Sulekha brand initiative.

Pro-Manage is a powerful and sophisticated marketing SaaS platform that has attracted highly regarded brands as its clients: Indian Oil, Shriram Finance, Apollo Pharmacy, Naturals, Sterling Resorts, Muthoot Finance, Aadhaar Housing Finance, Shriram Transport Finance, City Union Bank, O2 Spa, Page 3 Salons, Urban Nomads, CADD Centre and more.

Pro-Manage is developed using advanced technologies, design thinking, continuous discovery, agile development and product management methodologies. The cross-functional Pro-Manage team uses integrated customer-centric product-led marketing and growth paradigms designed to attract and retain targeted customers, maximizing life-time value and minimizing customer acquisition efforts and costs.

Pro-Manage is developed and offered by Sulekha, one of India’s largest digital business and consumer brands that has transformed local services ecosystem through a AI-based need fulfillment and monetization platform that generates millions of qualified, parameterized service requests to local service SMBs every day in 40 cities.

Pro-Manage aspires to be the dominant, industry-leading and technologically the most sophisticated marketing SaaS platform in India with 500+ enterprise customers in the next two years.

Pro-Manage and Sulekha have three of the most well-regarded firms as its investors: Norwest Venture Partners (Palo Alto, US), Mitsui (Tokyo), and GIC (sovereign wealth fund of Singapore).

Job Description & Expectations

We are looking for an executive to help a portion of the 65,000+ customers of Sulekha achieve tangible business outcomes. He/she will closely work with paid customers of Sulekha to achieve the desired goals of Sulekha. This portfolio will be managed by the Pro-Manage SME product of Sulekha.

Pro-Manage Boost operations

a. Profile Enrichment of existing and new customers of Sulekha who want to enhance their presence in Google, Bing, Facebook and others as we add on, by working on their profile content.

b. Deliver on KYC and 8 vectors of digital presence that include posts, photos, videos directions, keywords to enhance the value of customers trying the Sulekha Pro-Manage Boost product

c. Email, Phone call and WhatsApp engagement with customers to obtain content and optimize the Google listings & on other platforms.

d. Closely work with cross functional teams including central design team, central keyword research team and marketing teams to deliver value.

e. Pro-mange Dashboard Training supporting the customer to understand the dashboard.

f. Performance Management for the customers, analyzing the profile performance sharing the reports and insights with the customers and recommend changes to enhance the profile.

Education, Professional and Personal Attributes

· B.Tech/BE/B.Sc. graduation is preferred

· Excellent communication skills, with good knowledge in Hindi and 1 regional language. This is mandatory to help with category expertise

· Good analytical knowledge including working knowledge of all Microsoft tools and awareness of digital advertising tools like Google, Facebook is preferred

· Min. 1 year of experience in digital marketing including interacting with customers will be preferred

· Should possess an innate love of data and ability to see new patterns that impact business

· Positive, initiative driven and passionate about digital marketing

· Result oriented, entrepreneurial, and self-motivated

· Ambitious and flexible

Other aspects

· Reporting to Pro-Manage SME vertical lead

· Must be based out of Chennai with no travel involved

· All days are working from office – no WFH envisaged as of now

What Pro-Manager Offers You

· Opportunity to develop cutting-edge digital SaaS business development expertise

· Develop competence in marketing, product development, customer success and technology

· Highly entrepreneurial and aspirational work environment that inspires and challenges

· Collaborative and fun work environment

· Learning and development program to help you develop skills

· Well-define career path and progression tracking

· Progressive, nurturing and respectful work culture

· Attractive compensation plus incentives

• Collaborate with product, design, and other engineering teams to brainstorm and resolve complex problems.
• Ensure the quality of code is up to the highest standard of readability, conciseness, efficiency, modularity, and extensibility.
• Experience with the entire Software Development Life Cycle (SDLC)
• Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences
• Talking to customers and business teams to suggest improvement areas in product flows.
• Create peer learnings for team members and build context for new teammates
• Help with building the company's tech team and iterating on the hiring framework.
• Provide regular feedback to your team (peers and managers) to ensure continuous improvement.
• Keeping abreast with the latest technologies and working on your skills regularly.

Must-haves

• At least 3 years of experience working in frontend for desktop and mobile web.
• Familiar with design tools and convert them to actual code (HTML+CSS+JavaScript)
• Mastery in DOM Manipulation (including Jquery) and understand components, CTAs.
• Well-versed in other non-vanilla languages (ex. TypeScript)
• Well-versed in standard frontend framework (ex. ReactJS)
• Understanding of GraphQL APIs.
• Deep understanding of web technologies in various mobile systems
• Have empathy for the users you build for

Good to have

• Experience in the fintech industry
• Experience leading design and implementation of robust and secure web services.

What we are looking for:

We are looking for a Full Stack Developer who has a strong understanding of designing and developing Shopify API. Candidate should also have worked on any of the following Frontend frameworks like ReactJS , NextJs and VueJs.

The candidate should be proactive enough to anticipate problems and keeping the team and management informed in a timely manner. You have to work with the Product Owner/ Cross-functional teams in the organization to understand the business requirements and to deliver solutions.

Requirements

• Minimum 2 years of experience in Full Stack Development.
• Strong Understanding of Shopify API. (Mandatory)
• Experience working with Shopify apps and 3rd party services.
• In-depth experience with Shopify’s Liquid language.
• Deep Knowledge in NodeJS & JavaScript.
• Should have experience in designing with NoSQL Databases such as MongoDB etc.
• Must know either ReactJs, NextJs or VueJs .
• Hands on experience on AWS.
• Proficient understanding of code versioning tools, such as Git.

About Turing:

Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.

We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:

• Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
• Executives from Google, Facebook, Square, Amazon, and Twitter
• Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
• Cyan Banister
• Founder of Upwork (Beerud Sheth)

We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month. 

Some articles about Turing:

• https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
• https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
• https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
• https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.

Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.

About the role:

Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us. 

We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc. 

A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job. 

     
 You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words. 

As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).

This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&;hl=en">Google Scholar profile. 

Responsibilities:

• Enhance our existing machine learning systems using your core coding skills and ML knowledge.
• Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
• Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
• Design features and builds large scale recommendation systems to improve targeting and engagement.
• Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.

Minimum Requirements:

• BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
• Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
• Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
• 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
• Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
• Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
• Good understanding of mathematical foundations of machine learning algorithms.
• Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).

Other Nice-to-have Requirements:

• First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals. 
• Strong performance in Kaggle competitions.
• 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
• Strong communication skills.
• Experienced in leading large-scale multi-engineering projects.
• Flexible, and a positive team player with outstanding interpersonal skills.