6303 Retrieval Jobs - Page 35

Job Title "LLM Engineer at Qure.ai, based out of Bengaluru - Full-Time Role" Company Details Qure.AI is an applied healthcare AI company solving high stakes problems in global healthcare. With 18 FDA and 62 CE marking clearances to date, we create innovative solutions that significantly improve patient outcomes across various care domains, including lung cancer, tuberculosis, and stroke, impacting ~15 million patients annually in over 100 countries. Our teams are empowered by a strong infrastructure, state-of-the-art tools, and resources, enabling them to tackle real-world problems efficiently. Each contribution you make becomes part of a global diagnostic network, influencing the lives of over 32 million people. At Qure AI, we are dedicated to cultivating a diverse and inclusive environment and take pride in being an equal-opportunity employer. Job Roles & Responsibilities - Develop and deploy scalable AI applications using AWS and GCP to enhance healthcare solutions. - Implement and optimize large language models (LLMs), focusing on tasks like Retrieval-Augmented Generation (RAG) and multimodal prompting. - Integrate OpenAI and Anthropic Claude tools into existing healthcare frameworks for improved diagnostic accuracy. - Collaborate on open-source projects to innovate health tech solutions. - Use Docker and LangChain for efficient AI model deployment and management. - Work closely with cross-functional teams to deliver accessible AI-driven healthcare solutions, ensuring they meet technical and clinical requirements. Cultural Expectations - Collaborate in a diverse team, promoting inclusivity and open-mindedness - Proactively innovate and think outside the box for AI solutions - Passion for advancing healthcare accessibility - Adapt and respond to dynamic challenges with a solutions-oriented mindset - Commit to lifelong learning and sharing knowledge within the team Hiring Process - Technical assignment tailored for the role. - Interview with hiring manager to assess technical skills. - Live coding task to evaluate coding proficiency. - Technical interview with senior member from the technical team. - Final interview with Tech Lead/CTO

What we do? At ClearTrail, work is more than ‘just a job’. Our calling is to develop solutions that empower those dedicated to keep their people, places and communities safe. For over 21 years, law enforcement & federal agencies across the globe have trusted ClearTrail as their committed partner in safeguarding nations & enriching lives. We are envisioning the future of intelligence gathering by developing artificial intelligence and machine learning based lawful interception & communication analytics solutions that solve the world’s most challenging problems. What are we looking - We are looking for – ML Engineer (2-4 years’ experience) with ML and LLM skill set in Indore, M.P. Roles and Responsibilities: Develop end-to-end machine learning pipeline which includes model development, refining, and implementation for variety of analytics problems Communicating results to diverse technical and non-technical audiences Provides LLM expertise to solve problems using state-of-the-art language models and off-the-shelf LLM services, such as OpenAI models etc. Along with knowledge about Retrieval augmented generation and relevant techniques to improve performance & capabilities of LLMs Research and Innovation: Stay up to date with the latest advancements in the fields of AI Problem-solving and code debugging skills Hands on practical experience with usage of large language and generative AI models both proprietary and opensource, including transformers and GPT models (preferred) Skills: Mandatory hands on experience in the following: Libraries: Python, Scikit-Learn, PyTorch, LangChain, Transformers Techniques: Exploratory Data Analysis, Machine Learning and Neural Networks Machine learning model building, Hyperparameter tuning and Model performance metrics and Model Deployment Practical knowledge of LLM and its fine tuning Nice to have experience: Deep Learning MLOps SQL Qualifications: Bachelor’s degree in computer science & engineering. 2-4 years of Proven experience as a Machine Learning Engineer or similar role with LLM skill set Sound theoretical and practical knowledge of working with machine learning algorithms and hands-on with LLM applications

Company Description: Onelab Ventures is a leading technology company that specializes in custom AI agent solutions and software development . We collaborate with startups and enterprises to transform innovative ideas into scalable, intelligent systems that drive growth and efficiency. Our team of AI specialists, developers, designers, and product managers has delivered over 100+ successful projects , impacting ~1 million weekly active users across sectors including SaaS, Fintech, and Healthcare . Leveraging agile methodologies and advanced AI frameworks , we ensure every product is reliable, efficient, and user-centric . Role Description: This is a full-time, on-site role based in Pune . We are seeking a highly skilled Backend RAG (Retrieval-Augmented Generation) Engineer to design , develop , and maintain RAG-based systems powering intelligent enterprise solutions. You will work within an existing framework, take ownership of core modules, and integrate AI with real-world business tools like CRMs, HubSpot, and internal systems . This role involves deploying Model Context Protocol (MCP) servers , working within an event-driven , horizontally scalable architecture , and balancing rapid prototyping with production-ready engineering . Key Responsibilities: Build and maintain Retrieval-Augmented Generation (RAG) pipelines Take ownership of key modules within a custom RAG framework Deploy and manage MCP (Model Context Protocol) servers Integrate AI with enterprise tools like HubSpot , CRMs , email systems , and internal APIs Work with event-driven , horizontally scalable backend architectures Rapidly prototype while ensuring clean, maintainable, production-grade code Contribute to evolving system design and data architecture Technical Skills Required: Primary Must-Haves: Hands-on experience with LlamaIndex (preferred over LangChain) for RAG pipeline development Built or maintained RAG systems integrating 10–12+ heterogeneous data sources Familiar with automation and building AI-driven workflows that generate actionable insights Integration experience with CRM systems (e.g., HubSpot ), email platforms , and enterprise APIs Strong foundation in scalable backend development and cloud deployment (AWS/GCP) Bonus/Nice to Have: Experience working with event-driven architectures Familiarity with microservices , Docker , Kubernetes , Redis Exposure to AI product engineering , LLM fine-tuning , or custom AI agents Work Details: Location: On-site – Pune Office Type: Full-Time Join Date: Immediate joiners preferred Experience 1-4 year Job Type: Full-time Pay: ₹590,000.00 - ₹800,000.00 per year Benefits: Health insurance Provident Fund Work from home Ability to commute/relocate: Hinjewadi, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Have you built a RAG pipeline using Llama Index? Please describe briefly. How many types of data sources have you integrated into a single RAG system? Have you deployed Model Context Protocol (MCP) servers in production? What CRMs or business tools have you connected with your backend systems? Do you have experience working with event-driven or horizontally scalable backend architectures? Which cloud platforms and deployment tools are you most comfortable with? Are you available to attend the final in-person interview at our Pune office? What your Current CTC? What your expected CTC? What your notice period? Experience: RAG: 2 years (Preferred) LlamaIndex: 2 years (Preferred) Model Context Protocol: 2 years (Preferred) Work Location: In person

About Us: At Aventisia, we’re building the future of automation through Agentic AI . Our flagship product, Worc , allows businesses to orchestrate intelligent workflows with AI Agents, LLMs, and modern automation capabilities — all through a visual, self-service platform. We’re looking for people passionate about building cutting-edge AI systems and applying them to real-world business problems. Role Overview: As an Applied AI / LLM Engineer , you will work on designing, building, and deploying intelligent automation and conversational AI experiences using Large Language Models, LangChain pipelines, vector databases, and multimodal inputs such as voice. You’ll help integrate these AI workflows into Worc and bring them to life for business use cases such as customer engagement, lead generation, document intelligence, and more. Key Responsibilities: Design and implement AI pipelines using LLMs , LangChain , and vector databases (e.g., FAISS, Qdrant, Pinecone). Develop and deploy speech-to-text and text-to-speech flows integrated with AI agents. Fine-tune and evaluate language models for domain-specific needs. Create multi-channel communication agents using email, SMS, WhatsApp, and voice. Structure unstructured data inputs and manage embeddings for search and reasoning. Integrate AI agents into Worc workflows using Python and RESTful APIs. Collaborate with product teams to define user journeys and recommend AI integration points. Optimize pipelines for latency, accuracy, and cost-efficiency. Contribute to internal best practices, reusable components, and documentation. Required Skills: Strong programming skills in Python . Hands-on experience with LLM frameworks like LangChain , Transformers , or LlamaIndex . Experience working with vector databases (e.g., FAISS, Qdrant, Weaviate, Pinecone). Understanding of prompt engineering , RAG (retrieval-augmented generation) , and embedding models . Knowledge of fine-tuning LLMs , transfer learning, and model optimization. Familiarity with speech-to-text (e.g., Whisper, Google STT) and text-to-speech (e.g., ElevenLabs, AWS Polly) APIs. API integration and building scalable microservices using Python (FastAPI or Flask preferred). Strong problem-solving and experimentation mindset. Preferred Skills: Experience working with platforms like UIPath , n8n , or Make . Exposure to deploying models using cloud GPU environments (e.g., GCP, AWS, Azure, Nvidia). Familiarity with basic DevOps , Docker , and CI/CD practices. What We Offer: A front-row seat in building the future of agentic automation. Flexible work environment with high ownership and creative freedom. Competitive salary with performance-based bonuses. Equity options for long-term contributors. Opportunity to work on cutting-edge technologies in AI and automation. Culture of innovation, continuous learning, and supportive collaboration.

Position Summary... What you'll do... About the team: US Omni Tech : This is the team that ensures our customers receive their orders as fast as they want and where they want, in a friction-less, predictable way. Build reusable SaaS products and services that manage our catalog and power end-to-end inventory management, ranging from replenishment and fulfilment to transportation. With end-to-end inventory management, ranging from replenishment and fulfilment to transportation, they provide our drivers and partners with the tools they need to get the right items, on time, in the right packaging to customers. Enterprise Returns is one of the core & foundational divisions in Walmart Labs that aims at enabling the return of any item on any channel and ensure customers are refunded swiftly while maximizing return value for Walmart and our partners. This division is responsible for developing very large scale real-time, omni-channel, configurable and extensible platforms which enables us to expose “Returns as a Service” What you will do: As a Senior Software Engineer for Walmart, you’ll have the opportunity to Design, Development, Reviews etc. Interact with highly skilled Architects community to share and learn new technologies, scale, performance etc. Gain hands on experience to design scalable solutions, work with Walmart business, product Gain development experience of sophisticated, scalable, and high performing system Leverage open-source technologies using public clouds; build and mentor engineers; present ideas to larger organizations groups including innovation; foster culture independently to run team. What you will bring: An Engineering Degree - B.E/BTech/MTech/MS in any stream – Computer Science preferred. 6-10 years of relevant experience as a Java backend engineer with a strong understanding of CS Fundamentals, Data Structures, Algorithms, object-oriented design and Problem Solving Strong knowledge of SDLC best practices and implementing coding standards, code reviews, source control management, CI/CD, testing, and operations Good debugging and problem-solving skills. Out of the box thinking and being creative in recommending UX to product team. Influential communication skills; ability to effectively articulate technical challenges and solutions Hands on experience in J2EE Technologies, Cloud technologies and microservices. Large scale distributed systems experience, including scalability and fault tolerance. Exposure to at least 1 of the public cloud platforms, Azure (preferrable), GCP, or AWS A continuous drive to explore, improve, enhance, automate and optimize systems and tools. Exposure to information retrieval, statistics, and machine learning. Excellent oral and written communication skills. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelor's degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 3years’ experience in software engineering or related area at a technology, retail, or data-driven company. Option 2: 5 years’ experience in software engineering or related area at a technology, retail, or data-driven company. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Certification in Security+, GISF, CISSP, CCSP, or GSEC, Master’s degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 1 year’s experience leading information security or cybersecurity projects Information Technology - CISCO Certification - Certification Primary Location... Rmz Millenia Business Park, No 143, Campus 1B (1St -6Th Floor), Dr. Mgr Road, (North Veeranam Salai) Perungudi , India R-2237204

About the company Lexitas is a high growth company. The Company is built on a belief that having strong personal relationships with our clients, and providing reliable, accurate and professional services is the driving force of our success. Lexitas offers an array of services including local and national court reporting, medical record retrieval, process service, registered agent services and legal talent outsourcing. Our reach is truly national as well as international. Lexitas is a MNC Company that has set up a subsidiary in Chennai, India – Lexitas India Pvt. Ltd. This Indian company will be the Lexitas Global Capability Center, helping build a world class IT development team, and over time serve as a Shared Services hub for several of the corporate functions. For More Information - https://www.lexitaslegal.com This is a Full-Time Job located in Chennai, India. Job Summary: Lexitas Global Shared Services (GSS) are seeking a seasoned India Offshore Service Delivery Manager/Director to lead and manage our offshore service delivery operations. The manager will play a critical role in determining the current and future strategy and execution for successfully transitioning on-shore and BPO scopes to Lexitas India. This role is also responsible for the delivery of high-quality Operations Support Services to our US Operations through our India-based teams, ensuring alignment with global standards, client expectations, and operational SLAs. Key Responsibilities: Team Leadership: Manage and mentor a team leads and their teams across multiple scopes of work across Lexitas’ Divisions including production level positions in Records, Reporting, and Process Services Oversee hiring, training completion, performance evaluations, and career development of support staff. Ensure support coverage and efficient shift scheduling to allow for seamless hand-offs between the Lexitas India and US operations. Operational Excellence: Initial duties would include collaboration with GSS colleagues in Operations and Change Management to enact a smooth capability build-out and transition of all jobs from BPO providers and onshore US Drive consistent service delivery aligned with SLA/KPI targets both internally and as required by our US-based colleagues. Ensure adherence to best practices, incidents, problems, and change management processes. Monitor SOP adherence, issue escalation resolution timelines and meeting internal KPIs Stakeholder Coordination: Act as the primary escalation point of contact for US and India stakeholders. Facilitate effective communication between US and India leadership and their teams. Lead regular service reviews, provide performance reporting and drive cross-continent governance of all operational requirements. Process Improvement: Identify opportunities for automation, knowledge base enhancements, and process optimization. Implement tools and practices to improve service delivery Conduct root cause analysis for recurring issues and drive preventive measures. Compliance & Documentation: Ensure documentation of processes, SOPs, and support playbooks. Ensure compliance with company security, privacy, and governance policies. Required Qualifications: Bachelor’s degree in operations, Process Excellence, Engineering, or related field. 8+ years of Off-shore service delivery experience with at least 3 years in a managerial role. Experience working with global teams and managing offshore delivery. Strong understanding Off-shore/on-shore frameworks (preferably an IAOP certification). Excellent communication, leadership, and problem-solving skills. Proficiency with tools Project Management Tools (MS Project or similar). Preferred Qualifications: Experience in managing transitions of transactional support service scopes from the US to India. Familiarity with differences in US and India culture and how to manage in both environments. Managing Teams in support of US client environments and time zones. Working Hours: Flexible to attend and run US/India team meetings, including overlap with US morning hours.

Interested Candidates can share their CV on muskan.n@motherhoodindia.com or Directly come for Walk In interview between 10am - 4pm. Location: Plot H - 55,56, 57, Sector 57, Gurugram, Haryana 122011 JOB RESPONSIBILITIES: Adherence to Nursing Clinical standards: - Oriented to the NICU routine, equipment and type of neonates. - Outstation Neonate Retrieval by Ambulance: provide nursing care through the retrieval, accompanies and assists. - Complete the Nursing Assessment Guide within 15 minutes of neonate admission. - Ensures the neonate is comfortable, implements safety measures for vulnerable neonates as per the policy. - Ensures safety and security of neonates by following safety measures. - Neonate condition updates to be shared twice a day with parents; change in condition to be informed immediately; provide comfort and emotional strength to parents. - Review the doctor’s notes and the drug chart on admission and implement action as required. - Prepares nursing care plans and render professional bedside nursing care. - Ensure investigation slips are raised. - Ensure all investigations are carried out as advised by the doctor, reports available on time for doctor’s perusal and further advice. - Raise pharmacy indents, check on receipt, and stock in the bedside locker and medication trolley. - Specific responsibility towards neonate physical needs: - Feeding - Position - Medication dosage and calculation according to weight and body surface - Monitor neonates on incubator and ventilator and inform abnormal findings. - Responsible for checking and recording daily weight. - Responsible for monitoring and maintaining normal oxygen saturation level. - Administer on time medications and therapies. - Check and record vital signs legibly and promptly. - Assists the doctors in special procedures, dressings and rounds. For the following procedures, ensure properly set procedure trolleys. Venopuncture Endotracheal intubation Catheterization of umbilical artery and vein Peripheral I.V. and arterial line insertion ICD insertion Lumbar puncture - Assists the doctors in the management of the asphyxiated neonate, including resuscitation and stabilization. - Coordinate procurement of blood and blood products for transfusion. Any reactions must be reported to treating consultant, IC & NS immediately. - Completes the preoperative checklist before sending the neonate to operation theatre. - Completes the transfer formalities as per the In-house Transfer Policy. - Does not take verbal orders from Doctors except in emergency, to be followed by a written order before end of shift. - Does not take verbal orders for diet unless urgent; to be followed up with written order. - Knowledge on gestational age assessment, special problems of the premature, post-mature, small for gestational age, large for gestational age neonate. - Follows universal precaution as per the unit protocol. - Aware of the APGAR scoring performed. - Trained in NALS & NRP. - Handles with care and knowledge all gadgets used in neonate care. - Have thorough knowledge on I.V. fluid and drug calculation. - Administer drugs according to ‘Drug Administration Policy.’ - While administering high risk medicines, counter checked by a second nurse for the ’10 Medication Rights’ and complete documentation policy. - Implement the policy for ‘Medications brought by patient’. - Observe the neonate to ensure safe medication, no adverse reactions. - Any errors in medication, adverse reaction or nursing intervention to be brought immediately to the notice of the In-Charge NICU and NS. In case of ADR, the respective form to be filled. - To implement the following measures : Barrier Nursing, Neonate and Self Safety, Neonate Death protocol. - Implement protocols of Infection control, hand washing, medications, narcotic policy, ICU, personal valuables, etc. - Handle waste segregation and disposal as per the policy. - Maintain personal, neonate and environmental hygiene. - To be aware of NABH & NE standards and implement the same. - Aware of neonate rights and preserve the same. - Maintains confidentiality of neonate information: medical and personal; avoids any violation by ensuring no discussion of neonate identifiable information in non-secure areas. - Provide health education to the mother and attendants on breastfeeding, additional feeding, safety measures, and effect of medication. - To encourage, educate and assist mothers in breastfeeding. - To prepare additional feed with strict aseptic technique as per the doctor’s written instruction. - Ensure visitors follow Aseptic protocol when visiting NICU. - Follow aseptic protocols when reporting for work in NICU; adhere to NICU attire policy. - Maintains the medical and nursing records of neonates as per the institutional requirements. - At discharge, obtain signature from the parents (father or mother) at the time of handing over baby. - To carefully pack and hand over the body of the deceased; obtain signature from the parents (father or mother) at the time of handing over; assist with death certificate and other related documents. Job Type: Full-time Pay: ₹20,000.00 - ₹28,000.00 per month Schedule: Day shift Application Question(s): What is your Highest Qualification? License/Certification: Haryana Nursing Council Registration (Preferred) Work Location: In person

HIGH PRIORITY - AWS DATA ENGINEER(BEDROCK)MANDATE Hi Team, Please support us AWS DATA ENGINEER( Transcribe, comprehend along with Bedrock) AWS Data Engineer Full time - hucon innovations client- Brillio locations-Hyderabad,Bangalore,chennai,pune np-immediate to 15days Job Summary: We are looking for a skilled AWS Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data infrastructure on Amazon Web Services (AWS). The ideal candidate will work closely with data scientists, analysts, and software engineers to ensure high availability and performance of data solutions across the organization. Key Responsibilities: · Build/support applications using speech-to-text AWS services like Transcribe, comprehend along with Bedrock · Experience working with BI tools like QuickSight · Design, build, and manage scalable data pipelines using AWS services (e.g., Glue, Lambda, Step Functions, S3, EMR, Kinesis, Snowflake) · Optimize data storage and retrieval for large-scale datasets in data lakes or data warehouses · Monitor, debug, and optimize the performance of data jobs and workflows · Ensure data quality, consistency, and security across environments · Collaborate with analytics, engineering, and business teams to understand data needs · Automate infrastructure deployment using IaC tools like CloudFormation or Terraform · Apply best practices for cloud cost optimization, data governance, and DevOps · Stay current with AWS services and recommend improvements to data architecture · Understanding machine learning pipelines and MLOps (nice to have) Requirements & Qualifications: · Bachelor’s degree in computer science, or a related field · 8+ years of experience as a Data Engineer, with at least 3 years focused on AWS · Strong experience with AWS services including: o Transcribe , Bedrock o QuickSight Familiarity with Glue, S3, Snowflake, Lambda, Step Function, Kinesis, Athena, EC2/EMR , Power BI, or Tableau · Proficient in Python, PySpark, or Scala for data engineering tasks · Hands-on experience with SQL and data modeling · Familiarity with CI/CD pipelines and version control (e.g., Git, CodePipeline) · Experience with orchestration tools (e.g., Airflow, Step Functions) · Knowledge of data security, privacy, and compliance standards (GDPR, HIPAA, etc.) Good to have Skills: · AWS certifications (e.g., AWS Certified Data Analytics – Specialty, AWS Certified Solutions Architect) · Experience with containerization (Docker, ECS, EKS) · Experience working in Agile/Scrum environments

Apeejay Education requires a Secretarial Assistant / PA to the Principal for Apeejay School, Noida. Summary of Job:- This incumbent will be responsible for providing Secretarial & Administrative support to the Principal. He/she will serve as the primary point of contact for internal and external constituencies on all matters and maintain the utmost confidentiality. He/she will also be responsible for coordinating all external relations and organize events/projects etc. Assist the Principal in daily administrative responsibilities. Manage an active calendar of appointments. Checking emails, preparing correspondence Communicate and handle incoming and outgoing electronic communications on behalf of the Principal Prepare minutes of the meeting and draft presentations Communicate with internal stakeholders and external stakeholders on the Principal’s behalf. Responsible for file management both physically and electronically which will include: organize documents in files/folders as required; retrieval, sequencing etc. Manage physical correspondence, timely segregation and escalation as required. Manage electronic emails- proactively coordinate with Principal for closure. Responsible for drafting, editing, taking notes and typing of special correspondences/communicate as and when required. Perform other duties as and when assigned. Job Knowledge (Prerequisite) Proven working experience in a Secretarial position. Proven ability to handle confidential matters with the utmost discretion and sensitivity, including, but not limited to: meetings, documents, agendas, schedules, travel, and other matters with employees/know-how, etc. Knowledge of complex calendar management Knowledge of office processes Visual awareness and an eye for detail. Skill Set Strong interpersonal and collaboration skills. Good presentation and communication skills. Advanced knowledge of IT skills: MS Excel, PowerPoint Strong administrative, organization and clerical skills Ability to work across teams and with a variety of projects and constituencies Experience Required - 5+years Interested candidates to apply with their current and expected salary at hema.chauhan@teams.apeejay.edu .

Introducing Thinkproject Platform Pioneering a new era and offering a cohesive alternative to the fragmented landscape of construction software, Thinkproject seamlessly integrates the most extensive portfolio of mature solutions with an innovative platform, providing unparalleled features, integrations, user experiences, and synergies. By combining information management expertise and in-depth knowledge of the building, infrastructure, and energy industries, Thinkproject empowers customers to efficiently deliver, operate, regenerate, and dispose of their built assets across their entire lifecycle through a Connected Data Ecosystem. We are seeking a hands-on Applied Machine Learning Engineer to join our team and lead the development of ML-driven insights from historical data in our contracts management, assets management and common data platform. This individual will work closely with our data engineering and product teams to design, develop, and deploy scalable machine learning models that can parse, learn from, and generate value from both structured and unstructured contract data. You will use BigQuery and its ML capabilities (including SQL and Python integrations) to prototype and productionize models across a variety of NLP and predictive analytics use cases. Your work will be critical in enhancing our platform’s intelligence layer, including search, classification, recommendations, and risk detection. What your day will look like Key Responsibilities Model Development: Design and implement machine learning models using structured and unstructured historical contract data to support intelligent document search, clause classification, metadata extraction, and contract risk scoring. BigQuery ML Integration: Build, train, and deploy ML models directly within BigQuery using SQL and/or Python, leveraging native GCP tools (e.g., Vertex AI, Dataflow, Pub/Sub). Data Preprocessing & Feature Engineering: Clean, enrich, and transform raw data (e.g., legal clauses, metadata, audit trails) into model-ready features using scalable and efficient pipelines. Model Evaluation & Experimentation: Conduct experiments, model validation, A/B testing, and iterate based on precision, recall, F1-score, RMSE, etc. Deployment & Monitoring: Operationalize models in production environments with monitoring, retraining pipelines, and CI/CD best practices for ML (MLOps). Collaboration: Work cross-functionally with data engineers, product managers, legal domain experts, and frontend teams to align ML solutions with product needs. What you need to fulfill the role Skills And Experience Education: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. ML Expertise: Strong applied knowledge of supervised and unsupervised learning, classification, regression, clustering, feature engineering, and model evaluation. NLP Experience: Hands-on experience working with textual data, especially in NLP use cases like entity extraction, classification, and summarization. GCP & BigQuery: Proficiency with Google Cloud Platform, especially BigQuery and BigQuery ML; comfort querying large-scale datasets and integrating with external ML tooling. Programming: Proficient in Python and SQL; familiarity with libraries such as Scikit-learn, TensorFlow, PyTorch, Keras. MLOps Knowledge: Experience with model deployment, monitoring, versioning, and ML CI/CD best practices. Data Engineering Alignment: Comfortable working with data pipelines and tools like Apache Beam, Dataflow, Cloud Composer, and pub/sub systems. Version Control: Strong Git skills and experience collaborating in Agile teams. Preferred Qualifications Experience working with contractual or legal text datasets. Familiarity with document management systems, annotation tools, or enterprise collaboration platforms. Exposure to Vertex AI, LangChain, RAG-based retrieval, or embedding models for Gen AI use cases. Comfortable working in a fast-paced, iterative environment with changing priorities. What we offer Lunch 'n' Learn Sessions I Women's Network I LGBTQIA+ Network I Coffee Chat Roulette I Free English Lessons I Thinkproject Academy I Social Events I Volunteering Activities I Open Forum with Leadership Team (Tp Café) I Hybrid working I Unlimited learning We are a passionate bunch here. To join Thinkproject is to shape what our company becomes. We take feedback from our staff very seriously and give them the tools they need to help us create our fantastic culture of mutual respect. We believe that investing in our staff is crucial to the success of our business. Your contact: Mehal Mehta Please submit your application, including salary expectations and potential date of entry, by submitting the form on the next page. Working at thinkproject.com - think career. think ahead.

About US At Particleblack, we drive innovation through intelligent experimentation with Artificial Intelligence. Our multidisciplinary team—comprising solution architects, data scientists, engineers, product managers, and designers—collaborates with domain experts to deliver cutting-edge R&D solutions tailored to your business. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements "Statistical Modeling: Develop and implement core statistical models, including linear and logistic regression, decision trees, and various classification algorithms. Analyze and interpret model outputs to inform business decisions. Advanced NLP: Work on complex NLP tasks, including data cleansing, text preprocessing, and feature engineering. Develop models for text classification, sentiment analysis, and entity recognition. LLM Integration: Design and optimize pipelines for integrating Large Language Models (LLMs) into applications, with a focus on Retrieval-Augmented Generation (RAG) systems. Work on fine-tuning LLMs to enhance their performance on domain-specific tasks. ETL Processes: Design ETL (Extract, Transform, Load) processes to ensure that data is accurately extracted from various sources, transformed into usable formats, and loaded into data warehouses or databases for analysis. BI Reporting and SQL: Collaborate with BI teams to ensure that data pipelines support efficient reporting. Write complex SQL queries to extract, analyze, and visualize data for business intelligence reports. Ensure that data models are optimized for reporting and analytics. Data Storage and Management: Collaborate with data engineers to design and implement efficient storage solutions for structured datasets and semi structured text datasets. Ensure that data is accessible, well-organized, and optimized for retrieval. Model Evaluation and Optimization: Regularly evaluate models using appropriate metrics and improve them through hyperparameter tuning, feature selection, and other optimization techniques. Deploy models in production environments and monitor their performance. Collaboration: Work closely with cross-functional teams, including software engineers, data engineers, and product managers, to integrate models into applications and ensure they meet business requirements. Innovation: Stay updated with the latest advancements in machine learning, NLP, and data engineering. Experiment with new algorithms, tools, and frameworks to continuously enhance the capabilities of our models and data processes." Qualifications Overall Experience: 5+ years of overall experience working in a modern software engineering environment with exposure to best practices in code management, devops and cloud data/ML engineering. Proven track record of developing and deploying machine learning models in production. ML Experience: 3+ years of experience in machine learning engineering, data science with a focus on fundamental statistical modeling. Experience in feature engineering, basic model tuning and understanding model drift over time. Strong foundations in statistics for applied ML. Data Experience: 1+ year(s) in building data engineering ETL processes, and BI reporting. NLP Experience: 1+ year(s) of experience working on NLP use cases, including large scale text data processing, storage and fundamental NLP models for text classification, topic modeling and/or more recently, LLM models and their applications Core Technical Skills: Proficiency in Python and relevant ML and/or NLP specific libraries. Strong SQL skills for data querying, analysis, and BI reporting. Experience with ETL tools and data pipeline management. BI Reporting: Experience in designing and optimizing data models for BI reporting, using tools like Tableau, Power BI, or similar. Education: Bachelor’s or Master’s degree in Computer Science / Data Science,

BOLD is seeking for newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required Job Description ABOUT THIS TEAM The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL. The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology. WHAT YOU’LL DO Demonstrate ability to work on data science projects involving predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc. Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience Evolve prompt engineering applications and benchmark different Large Language models to solve business problems. Implement and experiment with agentic workflows to improve the job seeker experience. WHAT YOU’LL NEED Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods Expert knowledge in Python. Experience in feature selection, building and optimising classifiers. Experience working with backend technologies such as Flask/ Gunicorn etc. Experience on working with open source library such Spacy,NLTK,Gensim etc Experience on working with deep-learning library such as Tensor flow, Pytorch etc Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. Be a keen learner and enthusiastic about developing software. Experience with prompt engineering, chain-of-thought, retrieval augmented generation, vector databases and preferably llm agents. Langchain and/or Llamaindex. WHAT'S GOOD TO HAVE Experience with Cloud infrastructure and platforms (Azure, AWS) Experience using tools to deploy models into the production environment such as Jenkins Experience with the ontology/taxonomies of the career/ recruiting domain e.g. O*Net – NR EXPERIENCE- Software Engineer- 2.5 years+ Senior Software Engineer-4.5 years+ BENEFITS Outstanding Compensation Competitive salary Tax-friendly compensation structure Bi-annual bonus Annual Appraisal Equity in company 100% Full Health Benefits Group Mediclaim, personal accident, & term life insurance Group Mediclaim benefit (including parents' coverage) Practo Plus health membership for employees and family Personal accident and term life insurance coverage Flexible Time Away 24 days paid leaves Declared fixed holidays Paternity and maternity leave Compassionate and marriage leave Covid leave (up to 7 days) ADDITIONAL BENEFITS Internet and home office reimbursement In-office catered lunch, meals, and snacks Certification policy Cab pick-up and drop-off facility About BOLD We Transform Work Lives As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives. We Celebrate And Promote Diversity And Inclusion We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.

We are looking for a seasoned Python Developer to join our Content Engineering Team, focusing on building and optimizing a semantic search engine that delivers real-time news, images, and videos to global publishers. The role involves backend development using Python, Django, REST APIs, deployment on AWS, and integration with search technologies like ElasticSearch/OpenSearch. Experience with semantic search, RAG, or CDNs is a plus. Your tasks Developing and maintaining key components of content delivery systems Working on search engine technologies, enhancing search capabilities with semantic meaning Collaborating with cross-functional teams to integrate new features and services Troubleshooting and optimizing performance of web-scale hosted content systems Working with content delivery systems catering to publishers, broadcasters, and digital platforms Requirements 5-7 years of experience in Python development Experience with Django, REST APIs, and AWS Familiarity with search technologies like OpenSearch, ElasticSearch, or similar Willingness to mentor junior/mid-level engineers Ability to learn new technologies and concepts quickly. Proficient in English (written and spoken) Nice-to-have requirements Experience with semantic search technologies Previous work with RAG (Retrieval Augmented Generation) development Knowledge of content delivery networks (CDNs)

Company Overview Narayana Infra is a dynamic and forward-thinking real estate company specializing in plotting layouts that ensure not only spaces for living but also incredible investment returns. We offer prime locations and exceptional infrastructure, transforming land into golden opportunities for investors. With a team of 11-50 employees, Narayana Infra is headquartered in Hyderabad and is an influential player in the real estate industry. Job Overview We are seeking a dedicated and detail-oriented Data Entry Operator to join our team at Narayana Infra. This is a mid-level, full-time position located in Hyderabad. The ideal candidate will efficiently manage data entry tasks and ensure the accurate processing of real estate data to support our dynamic operations. Qualifications and Skills Proficiency in data entry tasks, ensuring accuracy and attention to detail for effective record management (Mandatory skill). Strong skills in Microsoft Excel for data manipulation, analysis, and reporting, crucial for our operations. Experience in database management, enabling efficient storage and retrieval of real estate data. Familiarity with real estate data processing, with the ability to understand and manage property-related information. Competence in document management, ensuring proper organization and maintenance of crucial records. Effective time management skills to prioritize tasks and meet deadlines in a dynamic work environment. Ability to conduct market research to support data-driven decision-making processes. Understanding of compliance documentation to maintain adherence to industry regulations. Roles and Responsibilities Enter and manage data accurately across various platforms to support the real estate business operations. Maintain and update databases with real estate and customer information, ensuring precision and confidentiality. Assist in the creation of Excel spreadsheets for analyzing and summarizing critical business data. Support the team in processing real estate documentation, ensuring compliance with industry standards. Collaborate with colleagues to perform market research and gather necessary data for strategic planning. Ensure accuracy in document filing and retrieval processes for smooth operational workflows. Review data for deficiencies, resolve discrepancies, and maintain high levels of data integrity. Participate in regular meetings to discuss data trends, provide insights, and improve data handling processes.

Position Overview: Mesmerize is seeking a talented and creative Photographer to join our team. In this role, you will be responsible for capturing high-quality, visually striking images of our jewellery products, which will play a vital role in enhancing our brand’s online presence and attracting customers. Your creativity, technical skills, and keen eye for detail will ensure our products are presented in the most appealing way possible, helping to drive sales and elevate our brand. Key Responsibilities: Product Photography Sessions: Plan and execute photography sessions, focusing on capturing the details, features, and unique qualities of our jewellery items. Product Styling: Work with the creative team to understand product-specific requirements, including lighting, styling, and composition, to produce visually appealing and consistent images. Image Editing & Retouching: Utilize industry-standard software (e.g., Adobe Photoshop, Lightroom) to enhance image clarity, color accuracy, and overall visual quality. Quality Control: Review product images to ensure they meet high standards for sharpness, exposure, and color accuracy. Correct any imperfections or flaws in the images. Asset Management: Organize and maintain a comprehensive library of product images, ensuring easy categorization and retrieval for various teams. Apply proper naming conventions and metadata to files. Collaboration: Work closely with the e-commerce, marketing, and design teams to ensure product imagery aligns with branding and promotional strategies. Equipment Maintenance: Ensure all photography equipment, including cameras, lenses, lighting, and accessories, is well-maintained and operating properly. Research & Innovation: Stay updated on emerging photography trends and techniques to bring fresh ideas to your work and improve product presentation. Qualifications: A portfolio demonstrating your photography skills, particularly in showcasing jewellery products. A degree (12th, Bachelor's, or Master's) in photography or a related field is preferred. Proficiency in using professional photography equipment (cameras, lenses, lighting) and image editing software (Adobe Photoshop, Lightroom). Strong understanding of composition, lighting, and visual storytelling. High attention to detail and the ability to identify and correct image imperfections. Strong organizational skills for managing and cataloging a large volume of images. Good communication skills to collaborate effectively with cross-functional teams. Previous experience in commercial, e-commerce, or jewellery photography is a plus.

Budeget: 7 LPA Immediate Joiners Preferred Key Responsibilities: Manage and maintain all artwork files with proper backup and retrieval systems. Translate approved designs into accurate, print-ready files aligned with dielines. Coordinate with retouching, packaging, and vendor teams for smooth execution. Support NPD by developing complete artwork files (structure + design). Drive quality improvements and ensure alignment with brand standards. Stay updated with packaging trends and print technologies to bring innovation. Interested candidates can share their resume on - dhruvimakwana@acme-services.in

Swirl AI turns every product page into a human-like sales conversation, blending LLMs, video understanding, real-time retrieval and agent orchestration. We’ve rocketed from 0 → Eight Figures of ARR in few months , and demand is outpacing our 7-person tech team. So, we need one extraordinary engineer to own the core of our platform and push it to Silicon Valley scale. What you’ll do First 90 days • Deep-dive into our multimodal stack (OpenAI-/Claude-based LLMs, custom SLMs, Azure Video Indexer, Pinecone/RAG, LangGraph) • Ship v2 of our SKU-specific “video-+-text” agent (latency < 500 ms, zero hallucinations). • Productionize auto-evaluation + guardrails (sentiment, brand safety) • Stand up voice & XR modalities and experiment with on-device inference. 6-12 months • R eal-time GEO optimisation • Lead design of our “agent marketplace”: plug-and-play warranty, finance-offer & upsell agents. • Drive infra hardening to handle 10 M+ interactions / month across multiple Fortune-500 sites. Long term • Build and mentor an elite AI / ML/systems team. • Architect the path to: self-serve onboarding, global content network. You might be a fit if you Have 5-10+ yrs building production systems at scale Shipped deep-learning products end-to-end : data pipeline ➜ model training/fine-tuning ➜ safety/guardrails ➜ Serving (K8s, CUDA, Triton, Ray, or similar). Hands-on with multimodal (video, speech, vision) and agentic/RAG architectures. Fluent in Python/Typescript/Go; can debug distributed systems at 2 a.m. and still think product. Thrive in zero-to-one chaos: sketch, hack, iterate, talk to customers, then rewrite for scale. Believe ownership > titles , data-driven rigor > ego, and shipping weekly > polishing forever. What success looks like p50 latency < 500 ms for a multimodal query across 100k videos & 10M documents. Swirl AI becomes the reference “AI Sales Agent” demo in every Fortune-100 board deck. We out-innovate incumbents (Salesforce, Adobe, Shopify) by shipping features 4× faster with a team 10× leaner. Comp, stage & perks Top-of-market cash + meaningful founding equity (we’re an early-stage, venture-backed rocket). Choose your rig: M-series MacBook + 4k monitor or Linux workstation with RTX 6000. Remote-first (US / EU / India time overlap) with quarterly off-sites in Dubai, SF & Bangalore . Visa support, health + mental-wellness stipend, conference budget, unlimited books. Report directly to Kaizad Hansotia (Founder/CEO) & Akshil Shah (CTO) and shape the product that’s already trusted by BYD, Toyota, LG & Lennox. How to apply Send GitHub/LinkedIn + 2-3 sentences on the toughest system you’ve built to careers@goswirl.ai . Side-projects, papers, or a Loom walk-through of your favourite model-ops trick = huge plus. We move fast: expect a 48-hr reply → 1 technical deep-dive → paid take-home sprint → offer. Join us to make product pages talk, show & sell — at human level, globally.

About the Role We are seeking a highly skilled and hands-on AI/ML Lead with deep experience in training and fine-tuning Large Language Models (LLMs) such as LLaMA 3 using frameworks like vLLM. The ideal candidate will bring a strong background in machine learning and a practical understanding of the cybersecurity domain—especially around threat intelligence, vulnerabilities, exploits, and configuration analysis. You will lead the development and implementation of models that understand, process, and generate insights across a wide range of cybersecurity content. You will guide a team of ML engineers and collaborate closely with cybersecurity SMEs, data engineers, and DevOps to ensure delivery of scalable, performant, and security-aware AI systems. Key Responsibilities Lead the fine-tuning and domain adaptation of open-source LLMs (e.g., LLaMA 3) using frameworks like vLLM, HuggingFace, DeepSpeed, and PEFT techniques. Develop data pipelines to ingest, clean, and structure cybersecurity data, including threat intelligence reports, CVEs, exploits, malware analysis, and configuration files. Collaborate with cybersecurity analysts to build taxonomy and structured knowledge representations to embed into LLMs. Drive the design and execution of evaluation frameworks specific to cybersecurity tasks (e.g., classification, summarization, anomaly detection). Own the lifecycle of model development including training, inference optimization, testing, and deployment. Provide technical leadership and mentorship to a team of ML engineers and researchers. Stay current with advances in LLM architectures, cybersecurity datasets, and AI-based threat detection. Advocate for ethical AI use and model robustness, especially given the sensitive nature of cybersecurity data. Required Qualifications 5+ years of experience in machine learning, with at least 2 years focused on LLM training or fine-tuning. Strong experience with vLLM, HuggingFace Transformers, LoRA/QLoRA, and distributed training techniques. Proven experience working with cybersecurity data—ideally including MITRE ATT&CK, CVE/NVD databases, YARA rules, Snort/Suricata rules, STIX/TAXII, or malware datasets. Proficiency in Python, ML libraries (PyTorch, Transformers), and MLOps practices. Familiarity with prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores like FAISS or Weaviate. Demonstrated ability to lead projects and collaborate across interdisciplinary teams. Excellent problem-solving skills and strong written & verbal communication. Nice to Have Experience deploying models via vLLM in production environments with FastAPI or similar APIs. Knowledge of cloud-based ML training (AWS/GCP/Azure) and GPU infrastructure. Background in reverse engineering, malware analysis, red teaming, or threat hunting. Publications, open-source contributions, or technical blogs in the intersection of AI and cybersecurity. What We Offer Opportunity to work at the intersection of cutting-edge AI and cybersecurity. Collaborative and fast-paced environment. Access to state-of-the-art hardware and ML tooling. Support for research, conferences, and continuous learning.

Role Overview We are seeking a highly skilled Data Scientist specializing in Generative AI to design, develop, and deploy state-of-the-art AI models solving real-world business challenges. You will work extensively with Large Language Models (LLMs), Generative Adversarial Networks (GANs), Retrieval-Augmented Generation (RAG) frameworks, and transformer architectures to create production-ready solutions across various Responsibilities : Design, develop, and fine-tune advanced Generative AI models such as LLMs, GANs, and Diffusion models. Implement and enhance RAG and transformer-based architectures for contextual understanding and document intelligence. Customize and optimize LLMs for specific domain applications. Build, maintain, and optimize ML pipelines and infrastructure for model training, evaluation, and deployment. Collaborate with engineering teams to integrate AI models into user-facing applications. Stay updated with the latest trends and research in Generative AI, open-source frameworks, and tools. Analyze model outputs for quality and performance, ensuring adherence to ethical AI Skills : Strong proficiency in Python and deep learning frameworks including TensorFlow, PyTorch, and HuggingFace Transformers. Deep understanding of GenAI architectures including LLMs, RAG, GANs, and Autoencoders. Experience with fine-tuning models using techniques such as LoRA, PEFT, or equivalents. Knowledge of vector databases (e.g., FAISS, Pinecone) and embedding generation methods. Experience handling datasets, preprocessing, and synthetic data generation. Solid grasp of NLP concepts, prompt engineering, and safe AI practices. Hands-on experience with API development, model deployment, and cloud platforms (AWS, GCP, Azure). (ref:hirist.tech)

Roles and Responsibilities Understand the Health, Safety, Environmental Protection, and Quality Policy, and the responsibilities under the Environmental Management System (EMS). Report any environmental noncompliance and/or concern to members of the senior management team (including the highest level of management) either directly or through the open reporting system as per Management System guidelines. Surveys: Monitor the dates of the survey and arrange the class/statutory survey in consultation with Vessel Manager. Provide continuity on guarantee claims management for the new build vessels and follow-up; ensure guarantee claim files are kept up to date with all invoices and backups. Repairs: Arrange repairs / requisition for service engineer / technician as per vessel requests and pass major repair requisitions for Vessel Manager approval. Keep record of all accrued repair costs. Routine communication: Handle letters / telexes / faxes to and from vessels and other concerned parties regarding repairs / surveys / registration. Manuals / Drawings / Instruction books: Maintain up-to-date records and files for quick retrieval and reference. Tracking of Lub oil sample Analysis: Track that Lub oil samples are landed by the vessel as per schedule. Follow up on the analysis report and send the report to the vessel. Keep the Vessel Manager informed if any of these conditions are not met. Maintain check list of periodic reporting due from vessel. Verify from ship file for overdue report – query vessels for abnormal delays. Dispatch and follow up of documents relating to vessel’s specific requirement. Provide support for dry-dock planning, specification compilation, and execution of SPOs. Compile statistical data of Key Performance Indicators (KPIs), guarantee claims, etc., and assist with department reporting. Review vessel manager invoices when they are out of the office and bring forward items for immediate attention when necessary. Coordinate the Fleet team’s calendars; send and accept electronic invitations and reminders, organize external meetings, and prepare for scheduled events, including assisting with catering. Prepare the Fleet team’s expense reports and reconcile credit card statements. Maintain and update documents for fleet-wide communication, monthly lube oil inventories, Attend department meetings and record minutes as required. Schedule business travel for team members and assist with the preparation of visa applications. Track team members’ travel, inspection reports, travel invoices, and month-end reports. Update NS5 (PMS – Planned maintenance system) performance notes for the fleet management team. Provide periodic coverage of reception, work effectively with other assistants, maintain department contact information, and post department information on the intranet. Perform other duties as required. Requirements Two or more years in a similar role in a ship management company or sailing experience in an officer rank Able to work under pressure in a fast-paced environment Proficiency with Microsoft Office suite (including Outlook, Word, PowerPoint and Excel) Must know how to source ship spares and stores for containerships Effective communication skills Sound organizational skills Ability to prioritize and multi-task Attention to detail Previous sailing experience as an engineer is preferred Experience sailing internationally on containerships We regret that only shortlisted candidates will be notified. Thank you.

Key Responsibilities Manage accounts payable and receivable processes with accuracy and timeliness Prepare and file TDS and GST returns in compliance with government regulations Maintain and reconcile daily financial transactions and records Ensure timely vendor payments and customer collections Support the month-end and year-end close processes Maintain documentation and filing systems for easy retrieval Working Days: Monday to Friday Shift Timing: 11:00 AM – 7:00 PM About Company: UniAcco (by Adventum Student Living Private Limited) intends to build a cutting-edge, technology-based platform to provide end-to-end solutions to international students to achieve their dreams. We started the journey with UniAcco (a global student accommodation platform) in 2019 and launched UniCreds (a marketplace for education loans) in 2020. Our third vertical, UniScholarz, which was recently launched, is a global counseling platform that offers effective mentoring by specialized counselors. These three consumer tech-led companies enable students to have the most hassle-free experience in reaching their educational goals free of cost. Because we believe dreams shouldn't be compromised under any circumstances.

Skills: ASP.NET MVC, C#, SQL Server, JavaScript, Continuous Integration, HTML5, Cloud Computing, LINQ, Company Overview VITAL INTELLIGENCE TECHNOLOGY PRIVATE LIMITED specializes in setting up and offshoring tech teams in India, focusing on ERPs, AI, ML, and LLMs. Our mission is to empower businesses with top-tier engineering talent and advanced technology expertise. We offer bespoke solutions in software development and digital transformation. Based in Ahmedabad, we leverage India's robust tech ecosystem to drive global innovation and efficiency. Job Overview We are seeking a Mid-Level Software Developer specializing in ASP.NET MVC to join our team in Ahmedabad. This is a full-time position in which you will play a critical role in the development and maintenance of web applications. The ideal candidate should possess significant expertise in ASP.NET MVC and demonstrate strong technical skills in related areas. Qualifications And Skills Proficiency in ASP.NET MVC (Mandatory skill) with proven experience in designing and developing web applications. Strong knowledge and hands-on experience in C#, enabling you to implement efficient, reliable, and maintainable code. Experience with SQL Server for developing complex queries and understanding relational database concepts. Solid understanding and application of JavaScript to enhance user experience and maintain responsive web designs. Experience with HTML5 to craft reliable web applications ensuring cross-browser compatibility and responsiveness. Familiarity with Continuous Integration tools and practices, facilitating seamless code integration and deployment. Understanding of Cloud Computing principles to build scalable and secure web applications that align with modern practices. Experience with LINQ for efficient data querying, enhancing the performance of applications. Roles And Responsibilities Design, develop, and maintain scalable web applications using ASP.NET MVC framework. Collaborate with product owners and team members to analyze use cases and propose innovative technical solutions. Write clean, scalable, and testable code, adhering to best practices and coding standards. Perform detailed analysis of business needs and develop reliable software solutions to meet those needs. Implement and maintain SQL Server databases, optimizing data retrieval and storage processes. Participate in Agile/Scrum processes, contributing to iterative software development and delivery. Troubleshoot, debug, and upgrade existing software, ensuring optimal performance and reliability. Provide mentorship and knowledge sharing among team members to foster growth and technical proficiency.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are looking for an enthusiastic and curious Junior Data Scientist to join the Cloud Nova team. This is an excellent opportunity for someone with 2-3 years of experience to work on exciting projects involving Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and deep learning. You will support senior data scientists and engineers in building and deploying AI models that solve real-world problems. Primary Responsibilities Assist in developing and testing GenAI models using tools like LangChain and Hugging Face Transformers Support the creation of RAG pipelines and embedding-based search systems Help prepare datasets and perform exploratory data analysis Contribute to model evaluation and performance tracking Collaborate with team members to integrate models into applications Stay updated on the latest trends in AI and deep learning Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field 1+ years of experience in data science, machine learning, or AI projects (internships count) Basic understanding of NLP and deep learning concepts Willingness to learn and grow in a collaborative environment Technical Skills: Programming: Python, SQL AI/ML: PyTorch or TensorFlow, Scikit-learn, Hugging Face Transformers GenAI Tools: LangChain, LlamaIndex (basic familiarity preferred) Data Tools: Pandas, NumPy, Jupyter Notebooks Version Control: Git Preferred Qualifications Experience with vector databases (e.g., FAISS) Familiarity with MLOps tools like MLflow or Docker Exposure to cloud-based model deployment Technical Skills: Cloud: Exposure to Azure or AWS At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Job Description About the Role You’ll be a key contributor on our AI Engineering team, building and maintaining the production-grade microservices and APIs that power our GenAI products—chatbots, document pipelines, retrieval endpoints, and embedding search. Your primary focus will be delivering clean, well-tested code; robust API designs; and reliable CI/CD processes. Core Responsibilities API & Service Development Design and implement RESTful (and optionally gRPC) Python services using FastAPI, Flask, or Django Define clear API contracts (e.g. OpenAPI/Swagger) and maintain semantic versioning Production-Grade Code Quality Apply SOLID principles and clean-code practices to keep services modular and maintainable Perform regular refactoring to reduce technical debt and adhere to style guides (flake8, black) Drive thorough code reviews, enforcing best practices and design consistency Testing & Validation Adopt test-driven development: write and maintain unit, integration, and end-to-end tests with pytest Mock external dependencies (LLM clients, vector stores) to validate error handling and edge cases Ensure high test coverage and set up automated quality gates in CI pipelines CI/CD & Deployment Build and maintain CI/CD pipelines (GitHub Actions, Jenkins, or GitLab CI) that run tests, linting, security scans, and deployments Containerize services with Docker and deploy to Kubernetes (or serverless) environments Automate release/versioning workflows and rollback strategies for low-risk releases Collaboration & Documentation Partner with MLOps, Data Science, and UX/UI teams to integrate new model capabilities Maintain up-to-date design docs, API specs, and “getting started” guides for engineering peers Contribute to sprint planning, design reviews, and process improvements Required Qualifications Experience: 3–5 years building production Python services Frameworks: FastAPI, Flask, or Django for API development Asynchronous frameworks (AsyncIO, aiohttp) for high-concurrency endpoints APIs & Protocols: Strong REST experience; basic gRPC or streaming is a plus Testing: Proven TDD with pytest (unit/integration tests and mocks) CI/CD: Hands-on with GitHub Actions, Jenkins, GitLab CI, or equivalent Containers & Orchestration: Proficiency with Docker; experience deploying to Kubernetes or serverless Nice-to-Have & Growth Areas Familiarity with vector stores (Faiss, Pinecone, Weaviate) and embedding search integration Experience with WebSockets or SSE for real-time chat Exposure to message brokers (Kafka, RabbitMQ) for event-driven architectures Knowledge of feature-flagging, A/B testing, or experimentation platforms Experience in other languages like Java, C++ Soft Skills Problem Solver: Diagnoses and debugs complex issues across code, infra, and external services Communicator: Explains design trade-offs clearly to both technical and non-technical audiences Collaborator: Works effectively in cross-functional teams and helps peers level up Learner: Quickly adopts new tools and practices in the fast-moving GenAI landscape Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Minimum qualifications: Bachelor's degree in Electrical, Electronics or Computer Engineering, or equivalent practical experience. 2 years of experience in development, testing and deployment of consumer electronics/embedded systems. Experience with embedded programming in C/C++/Rust. Experience with embedded systems, kernel, Linux, Real-Time Operating System (RTOS) or firmware, device driver. Preferred qualifications: Master's degree in Electrical, Electronics or Computer Engineering, or equivalent practical experience. 4 years of work experience in development, testing and deployment of consumer electronics/embedded systems. knowledge of embedded systems development, RTOS concepts, device drivers and hardware/software integration. Understanding of key hardware concepts (i.e., Silicon security, timers/interrupts/event handling, memory management). Ability and interest to work at the intersection of software and hardware. About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Work to enable device drivers for applications on devices. Develop new software, hardware, and system architecture to support future applications. Develop, and test embedded software drivers for the next generation smart devices. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .