Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: MAM, App integration Crop.Photo is Looking for: Technical Lead for Evolphin AI-Driven MAM At Evolphin, we build powerful media asset management solutions used by some of the world’s largest broadcasters, creative agencies, and global brands. Our flagship platform, Zoom, helps teams manage high-volume media workflows—from ingest to archive—with precision, performance, and AI-powered search. We’re now entering a major modernization phase, and we’re looking for an exceptional Technical Lead to own and drive the next-generation database layer powering Evolphin Zoom. This is a rare opportunity to take a critical backend system that serves high-throughput media operations and evolve it to meet the scale, speed, and intelligence today’s content teams demand. What you’ll own Leading the re-architecture of Zoom’s database foundation with a focus on scalability, query performance, and vector-based search support Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rollout—all with aggressive timelines Skills & Experience We Expect We’re looking for candidates with 7–10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas: System Design & Architecture (3–4 yrs) Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments Led system-level design for scalable, modular AWS microservices architectures Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models Deep understanding of infrastructure observability, failure handling, and graceful degradation Database & Metadata Layer Design (3–5 yrs) Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases Comfortable evaluating trade-offs between memory, query latency, and write throughput Semantic Search & Vectors (1–3 yrs) Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases Experience tuning vector indexers for performance, memory footprint, and recall Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints) Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them Media Asset Workflow (2–4 yrs) Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC Understanding of proxy workflows in video post-production Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives Cloud-Native Architecture (AWS) (3–5 yrs) Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge Experience building serverless or service-based compute models for elastic scaling Familiarity with managing multi-region deployments, failover, and IAM configuration Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows Frontend Collaboration & React App Integration (2–3 yrs) Worked closely with React-based frontend teams, especially on desktop-style web applications Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries Experience with Electron for desktop apps How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: MAM, App integration Crop.Photo is Looking for: Technical Lead for Evolphin AI-Driven MAM At Evolphin, we build powerful media asset management solutions used by some of the world’s largest broadcasters, creative agencies, and global brands. Our flagship platform, Zoom, helps teams manage high-volume media workflows—from ingest to archive—with precision, performance, and AI-powered search. We’re now entering a major modernization phase, and we’re looking for an exceptional Technical Lead to own and drive the next-generation database layer powering Evolphin Zoom. This is a rare opportunity to take a critical backend system that serves high-throughput media operations and evolve it to meet the scale, speed, and intelligence today’s content teams demand. What you’ll own Leading the re-architecture of Zoom’s database foundation with a focus on scalability, query performance, and vector-based search support Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rollout—all with aggressive timelines Skills & Experience We Expect We’re looking for candidates with 7–10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas: System Design & Architecture (3–4 yrs) Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments Led system-level design for scalable, modular AWS microservices architectures Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models Deep understanding of infrastructure observability, failure handling, and graceful degradation Database & Metadata Layer Design (3–5 yrs) Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases Comfortable evaluating trade-offs between memory, query latency, and write throughput Semantic Search & Vectors (1–3 yrs) Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases Experience tuning vector indexers for performance, memory footprint, and recall Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints) Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them Media Asset Workflow (2–4 yrs) Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC Understanding of proxy workflows in video post-production Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives Cloud-Native Architecture (AWS) (3–5 yrs) Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge Experience building serverless or service-based compute models for elastic scaling Familiarity with managing multi-region deployments, failover, and IAM configuration Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows Frontend Collaboration & React App Integration (2–3 yrs) Worked closely with React-based frontend teams, especially on desktop-style web applications Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries Experience with Electron for desktop apps How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

About The Opportunity We operate at the forefront of India’s Artificial Intelligence & Enterprise Software Solutions sector, building production-grade, large-language-model (LLM) applications that power real-time search, recommendation, and decision-support systems for Fortune-500 clients. Our fully remote engineering pods in Mumbai and Pune transform cutting-edge GenAI research into scalable business value while nurturing a culture of ownership, learning, and rapid iteration. Role & Responsibilities Design and ship GenAI products that fuse Retrieval-Augmented Generation (RAG) with LangChain/LangGraph pipelines for chatbots, semantic search, and agentic workflows. Implement vector-based retrieval by orchestrating FAISS-backed indexes, chunking strategies, and prompt-engineering playbooks that boost LLM precision and recall. Prototype and harden ML models (classification, regression, clustering) in Scikit-learn or PyTorch, then productionise via micro-checkpointing (MCP) and CI/CD. Instrument agentic behaviours that call external tools/APIs, manage memory, and evaluate reasoning traces for safety and ROI. Collaborate cross-functionally with product, design, and MLOps to translate business stories into measurable AI metrics and A/B experiments. Author technical docs & knowledge share to uplevel team expertise in GenAI best practices and responsible-AI compliance. Skills & Qualifications Must-Have 3–7 yrs hands-on experience building LLM-powered applications with LangChain and/or LangGraph. Proven mastery of FAISS (or Pinecone/Weaviate) for vector search, plus solid understanding of embeddings and cosine-similarity maths. Strong foundation in machine-learning algorithms—classification, regression, and model evaluation—with production code in Scikit-learn or equivalent. Ability to craft, debug, and optimise prompt engineering & chunking strategies that minimise token cost while maximising answer quality. Fluency in Python; familiarity with software-engineering best practices (Git, unit tests, Docker, MCP-style model checkpoints). Excellent written and verbal communication skills to explain complex GenAI concepts to technical and non-technical stakeholders. Preferred Experience designing agentic frameworks (tool-calling, planning-&-execution loops, reflection) for autonomous task chains. Prior contribution to open-source GenAI libraries or research publications. Exposure to data-pipeline tooling such as Airflow, Spark, or cloud-agnostic serverless runtimes. Skills: GenAI,LangChain,LLM,LangGraph,FAISS,MCP,Agentic,Machine Learning,Classification,Regression,ScikitLearn Show more Show less

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: MAM, App integration Crop.Photo is Looking for: Technical Lead for Evolphin AI-Driven MAM At Evolphin, we build powerful media asset management solutions used by some of the world’s largest broadcasters, creative agencies, and global brands. Our flagship platform, Zoom, helps teams manage high-volume media workflows—from ingest to archive—with precision, performance, and AI-powered search. We’re now entering a major modernization phase, and we’re looking for an exceptional Technical Lead to own and drive the next-generation database layer powering Evolphin Zoom. This is a rare opportunity to take a critical backend system that serves high-throughput media operations and evolve it to meet the scale, speed, and intelligence today’s content teams demand. What you’ll own Leading the re-architecture of Zoom’s database foundation with a focus on scalability, query performance, and vector-based search support Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rollout—all with aggressive timelines Skills & Experience We Expect We’re looking for candidates with 7–10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas: System Design & Architecture (3–4 yrs) Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments Led system-level design for scalable, modular AWS microservices architectures Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models Deep understanding of infrastructure observability, failure handling, and graceful degradation Database & Metadata Layer Design (3–5 yrs) Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases Comfortable evaluating trade-offs between memory, query latency, and write throughput Semantic Search & Vectors (1–3 yrs) Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases Experience tuning vector indexers for performance, memory footprint, and recall Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints) Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them Media Asset Workflow (2–4 yrs) Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC Understanding of proxy workflows in video post-production Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives Cloud-Native Architecture (AWS) (3–5 yrs) Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge Experience building serverless or service-based compute models for elastic scaling Familiarity with managing multi-region deployments, failover, and IAM configuration Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows Frontend Collaboration & React App Integration (2–3 yrs) Worked closely with React-based frontend teams, especially on desktop-style web applications Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries Experience with Electron for desktop apps How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

About The Opportunity We operate at the forefront of India’s Artificial Intelligence & Enterprise Software Solutions sector, building production-grade, large-language-model (LLM) applications that power real-time search, recommendation, and decision-support systems for Fortune-500 clients. Our fully remote engineering pods in Mumbai and Pune transform cutting-edge GenAI research into scalable business value while nurturing a culture of ownership, learning, and rapid iteration. Role & Responsibilities Design and ship GenAI products that fuse Retrieval-Augmented Generation (RAG) with LangChain/LangGraph pipelines for chatbots, semantic search, and agentic workflows. Implement vector-based retrieval by orchestrating FAISS-backed indexes, chunking strategies, and prompt-engineering playbooks that boost LLM precision and recall. Prototype and harden ML models (classification, regression, clustering) in Scikit-learn or PyTorch, then productionise via micro-checkpointing (MCP) and CI/CD. Instrument agentic behaviours that call external tools/APIs, manage memory, and evaluate reasoning traces for safety and ROI. Collaborate cross-functionally with product, design, and MLOps to translate business stories into measurable AI metrics and A/B experiments. Author technical docs & knowledge share to uplevel team expertise in GenAI best practices and responsible-AI compliance. Skills & Qualifications Must-Have 3–7 yrs hands-on experience building LLM-powered applications with LangChain and/or LangGraph. Proven mastery of FAISS (or Pinecone/Weaviate) for vector search, plus solid understanding of embeddings and cosine-similarity maths. Strong foundation in machine-learning algorithms—classification, regression, and model evaluation—with production code in Scikit-learn or equivalent. Ability to craft, debug, and optimise prompt engineering & chunking strategies that minimise token cost while maximising answer quality. Fluency in Python; familiarity with software-engineering best practices (Git, unit tests, Docker, MCP-style model checkpoints). Excellent written and verbal communication skills to explain complex GenAI concepts to technical and non-technical stakeholders. Preferred Experience designing agentic frameworks (tool-calling, planning-&-execution loops, reflection) for autonomous task chains. Prior contribution to open-source GenAI libraries or research publications. Exposure to data-pipeline tooling such as Airflow, Spark, or cloud-agnostic serverless runtimes. Skills: GenAI,LangChain,LLM,LangGraph,FAISS,MCP,Agentic,Machine Learning,Classification,Regression,ScikitLearn Show more Show less

What impact will you make? Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you’ll find unrivaled opportunities to succeed and realize your full potential Deloitte is where you’ll find unrivaled opportunities to succeed and realize your full potential. The team Assurance is about much more than just the numbers. It’s about attesting to accomplishments and challenges and helping to assure strong foundations for future aspirations. Deloitte exemplifies the what, how, and why of change so you’re always ready to act ahead. Learn more about Risk Advisory R & LS Your work profile Roles and Responsibilities Design, develop, and deploy end-to-end GenAI solutions across multiple business functions. Build autonomous AI systems using agentic frameworks that can interact seamlessly with users, APIs, tools, and data sources. Implement RAG (Retrieval-Augmented Generation) architectures using Semantic Kernel, GraphRAG, and other relevant tools. Develop agentic systems using tools like AutoGen, CrewAI, LangChain and custom agentic frameworks. Integrate and optimize multi-agent workflows using Model Context Protocol (MCP). Conduct rigorous testing, validation, and performance monitoring of deployed AI models and agents. Manage the full lifecycle of LLMs – including training, fine-tuning, evaluation, and deployment. Conduct GenAI/Agentic AI model validation to ensure model quality, reliability, and ethical compliance Your role as a leader At Deloitte India, we believe in the importance of leadership at all levels. We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society and make an impact that matters. In addition to living our purpose, Consultant or Assistant Manager across our organization: Builds own understanding of our purpose and values; explores opportunities for impact • Demonstrates strong commitment to personal learning and development; acts as a brand ambassador to help attract top talent • Understands expectations and demonstrates personal accountability for keeping performance on track • Actively focuses on developing effective communication and relationship-building skills • Understands how their daily work contributes to the priorities of the team and the business How you’ll grow At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help build world-class skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Centre. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our purpose Deloitte is led by a purpose: To make an impact that matters . Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the communities in which we live and work—always striving to be an organization that is held up as a role model of quality, integrity, and positive change. Learn more about Deloitte's impact on the world Recruiter tips We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you’re applying to. Check out recruiting tips from Deloitte professionals. Show more Show less

Research Engineer, Applied Research (Biotech AI – Drug Discovery) About the Company Quantiphi is an award-winning AI-first digital engineering company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Quantiphi has seen 2.5x growth YoY since its inception in 2013 to 3500+ team members globally. For more details, please visit our website or LinkedIn page. About the Applied Research Unit Applied Research is an R&D practice at Quantiphi focused on advancing the frontiers of AI technologies with Applied Machine Learning at its core. We ideate and build novel solutions to high-impact, cutting-edge challenges, with a focus on advanced prototyping and scalable proof of concepts. Within this unit, the AI-Accelerated Drug Discovery practice is a key pillar that aims to apply state-of-the-art AI methodologies to revolutionize the way new therapeutics are discovered and developed. We are committed to driving meaningful scientific breakthroughs by combining strong AI research with deep cross-disciplinary collaboration. Job Description Role Level: Research Engineer Work Location: India Resource Count: 2 The Role This is a unique opportunity to work on scientifically impactful problems at the intersection of AI and biotechnology within Quantiphi Applied Research team. In this role, you will work on the development of core AI models and algorithms aimed at accelerating the drug discovery process. The position focuses on advancing foundational AI techniques such as generative modeling, optimization, and reinforcement learning, applied to molecular and bio-pharmaceutical data. The position involves working with a diverse, lively, and proactive group of nerds who are constantly raising the bar on translating the latest AI research in Healthcare and Life Sciences into tangible reusable assets for the community. Hence this would require a high level of conceptual understanding, attention to detail and agility in terms of adaptation to new technologies. While prior experience in the biotech or life sciences domain is highly valued and will elevate the candidate profile, we are equally open to exceptional AI/ML researchers from other domains who are excited to explore and learn the nuances of this rapidly growing field . Please note: This is a core AI research role, not a software engineering or system integration position. We are particularly keen to engage with candidates focused on scientific AI innovation rather than application development or LLM/GenAI-centric workflows . Responsibilities Stay ahead of the AI research curve, focusing on foundational AI methodologies applicable to drug discovery and molecular design. Build rapid prototypes, conduct detailed experimental studies, and develop advanced AI models in areas such as generative modeling, reinforcement learning, graph-based learning, and molecular property prediction. Work closely with interdisciplinary teams including biologists, chemists, and life science domain experts to design scientifically sound AI approaches. Contribute to Quantiphi IP portfolio through the development of novel algorithms, proof of concepts, and potential publications. Drive thought leadership through documentation, knowledge dissemination, and participation in conferences, blogs, webinars, and publications. Publish Research papers in prestigious Conferences and Journals Requirements Must Have: Master’s degree, PhD, or equivalent experience in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, or related fields. Minimum work experience required : from new graduates to 3+ yrs of research experience post graduation (in ML research) Strong foundation in AI/ML concepts with hands-on experience in model development, experimental design, and large-scale data analysis. Excellent in-depth understanding of ML concepts and the respective underlying mathematical know-how. Working knowledge of using NLP with biological sequences. Solid research mindset with a track record of working on complex AI problems—experience with drug discovery datasets is a plus but not a prerequisite. Excellent programming skills in Python, with experience using AI/ML frameworks like PyTorch or TensorFlow. Hands-on experience in developing and deploying models with various deep learning architectures in multiple ML areas like Computer-Vision, NLP, Statistics etc Ability to independently learn new scientific domains and apply AI techniques to novel bio-pharmaceutical problems. Strong communication skills with the ability to present complex ideas in an accessible format across audiences. Ability to translate abstract highlights into understandable insights in multiple knowledge-dissemination formats like blogs, presentations, paper-publications, tutorials and webinars Good to Have: Prior exposure to molecular datasets, cheminformatics, bioinformatics, or life sciences. Hands-on experience with insilico techniques in drug discovery Hands-on experience with HPC workflows with genome datasets Familiarity with generative chemistry models, graph neural networks, reinforcement learning, or multi-objective optimization. Demonstrated industry research experience will be considered as an additional bonus. Research publications in AI/ML conferences such as NeurIPS, ICML, ICLR, or relevant bioinformatics journals Experience with cloud environments like GCP or AWS and scalable model training. Strong classical education on math/physics/mechanics/CS/Engineering concepts will also be an advantage. Why Join Us? Opportunity to work at the cutting edge of AI and biotechnology, solving problems with real-world scientific impact. Exposure to interdisciplinary teams and a culture that encourages continuous learning and exploration. Contribute to an R&D environment that values curiosity, innovation, and the advancement of AI for good. Show more Show less

FEMALE CANDIDATES ONLY!! About Anantam HR Anantam HR is a dynamic recruitment consultancy firm specializing in end-to-end talent acquisition solutions across industries. We aim to connect top talent with thriving organizations while maintaining a strong focus on quality, agility, and client satisfaction. Position Summary The Team Leader will be responsible for managing and overseeing the NON-IT recruitment operations of the firm. This includes leading a team of recruiters, ensuring timely delivery of hiring mandates, client coordination, performance management of the recruitment team, and implementing efficient sourcing strategies. Key Responsibilities Operational & Team Management Lead and supervise the recruitment team to meet client requirements within stipulated timelines. Plan, allocate, and monitor recruitment tasks across various industry verticals. Track performance metrics – team KPIs, TAT, closures per recruiter, revenue per client. Ensure continuous improvement in sourcing techniques and selection processes. Client Relationship Management Serve as a point of contact for key clients; understand job requirements, update on progress, and ensure client satisfaction. Prepare and present recruitment status reports to clients regularly. Handle escalations and ensure high service delivery standards. Talent Acquisition Process Develop recruitment strategies for mid-to-senior-level hiring across domains. Guide the team on sourcing, screening, interviewing, and shortlisting quality candidates. Explore and implement tools for automation, AI screening, and applicant tracking. People Management & Internal HR Functions Recruit, onboard, train, and retain internal HR/recruitment team members. Develop KRAs, KPIs, and performance appraisal systems for the recruitment team. Conduct regular one-on-ones, feedback sessions, and motivation drives for team engagement. MIS & Reporting Maintain dashboards on recruiter performance, closures, open positions, and billing. Provide periodic analytics and business insights to senior management. Prepare productivity and revenue-based incentive reports. Required Qualifications & Experience Bachelors/Masters degree in Human Resources, Business Administration, or related field. 5–8 years of experience in recruitment or staffing (at least 2 years in a team lead or managerial capacity). Experience working in a consultancy/agency setup is a must. Strong understanding of end-to-end recruitment lifecycle and ATS tools. Key Skills & Competencies Excellent leadership, team management, and mentoring skills. Strong business acumen with client-handling abilities. Knowledge of KRAs, KPIs, and performance tracking models. Analytical thinker with data-driven decision-making. Effective communication, problem-solving, and negotiation skills. Ability to work in a fast-paced, target-driven environment. Preferred Tools/Platforms Knowledge Excel, Google Sheets, and recruitment dashboards Applicant Tracking Systems (e.g., Zoho Recruit, Naukri RMS, etc.) LinkedIn Recruiter, Naukri, Indeed, and other sourcing platforms Show more Show less

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: MAM, App integration Crop.Photo is Looking for: Technical Lead for Evolphin AI-Driven MAM At Evolphin, we build powerful media asset management solutions used by some of the world’s largest broadcasters, creative agencies, and global brands. Our flagship platform, Zoom, helps teams manage high-volume media workflows—from ingest to archive—with precision, performance, and AI-powered search. We’re now entering a major modernization phase, and we’re looking for an exceptional Technical Lead to own and drive the next-generation database layer powering Evolphin Zoom. This is a rare opportunity to take a critical backend system that serves high-throughput media operations and evolve it to meet the scale, speed, and intelligence today’s content teams demand. What you’ll own Leading the re-architecture of Zoom’s database foundation with a focus on scalability, query performance, and vector-based search support Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rollout—all with aggressive timelines Skills & Experience We Expect We’re looking for candidates with 7–10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas: System Design & Architecture (3–4 yrs) Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments Led system-level design for scalable, modular AWS microservices architectures Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models Deep understanding of infrastructure observability, failure handling, and graceful degradation Database & Metadata Layer Design (3–5 yrs) Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases Comfortable evaluating trade-offs between memory, query latency, and write throughput Semantic Search & Vectors (1–3 yrs) Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases Experience tuning vector indexers for performance, memory footprint, and recall Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints) Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them Media Asset Workflow (2–4 yrs) Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC Understanding of proxy workflows in video post-production Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives Cloud-Native Architecture (AWS) (3–5 yrs) Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge Experience building serverless or service-based compute models for elastic scaling Familiarity with managing multi-region deployments, failover, and IAM configuration Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows Frontend Collaboration & React App Integration (2–3 yrs) Worked closely with React-based frontend teams, especially on desktop-style web applications Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries Experience with Electron for desktop apps How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

About the job Join MSBC as a Java Developer – Build Enterprise-Grade Applications and Scalable Systems We are looking for a talented and motivated Java Developer with 6+ years of experience in Core Java development. In this role, you’ll be responsible for designing, developing, and maintaining scalable enterprise applications that solve real-world business challenges. You will collaborate closely with cross-functional teams to ensure clean, maintainable, and high-performance code is delivered. Key Tools & Frameworks Programming Languages – Java 8+, SQL Frameworks – Spring Core, Spring Boot, Spring MVC Web Services & APIs – RESTful APIs, JSON Build & DevOps – Maven, Gradle, Jenkins, Git Databases – MySQL, PostgreSQL, Oracle Version Control – Git, GitHub, GitLab Testing – JUnit, TestNG Others (Nice to Have) – HTML, CSS, JavaScript, AWS, Azure, CI/CD tools, ELK Stack Key Responsibilities Design, develop, and maintain scalable and robust Java applications. Write clean, efficient, and reusable code adhering to best practices. Troubleshoot and resolve issues in development and production environments. Participate in code reviews, unit testing, debugging, and optimization efforts. Collaborate with cross-functional teams including QA, DevOps, and Business Analysts. Work in Agile/Scrum-based development cycles and actively contribute to sprint activities. Support database design, query optimization, and data integrity within applications. Ensure timely delivery of high-quality solutions by actively managing tasks and timelines. Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. 5–7 years of hands-on experience in Core Java development. Proficient in OOPs concepts, Collections, Multithreading, Exception Handling, and Java Memory Management. Experience with RESTful APIs, JSON handling, and integrating web services. Familiar with Spring Boot, MVC, and other Spring-based modules. Knowledge of JDBC and relational databases such as MySQL, PostgreSQL, or Oracle. Comfortable using Git for version control and Maven/Gradle for project builds. Exposure to unit testing frameworks (JUnit, TestNG) and code quality tools. Familiarity with basic front-end technologies (HTML, CSS, JavaScript). Understanding of cloud services (AWS, Azure) and deployment pipelines. Experience with monitoring tools like ELK Stack or Grafana. Background in building secure and maintainable enterprise applications. About MSBC Group MSBC Group has been a trusted technology partner for over 20 years, delivering AI-powered software solutions across industries such as financial services, logistics, construction, and startups. Our work spans Custom Software Development, AI & Automation, Staff Augmentation, Managed Services, and BPO. With a strong global presence, we are committed to innovation, career growth, and a vibrant workplace culture. Show more Show less

Duration: 6-month internship → Full-time conversion Stipend: ₹10,000 - ₹15,000/month About Pinch AI agents for community management and event organization - founded by IIT graduates with 10+ years building products at Flipkart, Zalando, and top European marketplaces. We're automating the $50B+ community economy. What You'll Own Community Growth & Success Partner with community leaders and event organizers to drive platform adoption Design onboarding experiences that turn trial users into power users Create retention strategies based on behavioral data and user feedback Build our community champions program and organize high-impact meetups Market Development Map Bangalore's community ecosystem and identify expansion opportunities Build partnerships with co-working spaces, event venues, and community platforms Represent Pinch at industry events and build relationships with ecosystem players Generate market intelligence that shapes our go-to-market strategy What Makes You Perfect Academic Excellence: Final year or recent graduate (BBA/MBA preferred) - we value smart, driven people Relationship Builder: You naturally connect with people and create lasting partnerships Community Obsessed: You understand what makes communities thrive vs. die Execution Focused: You see opportunities and make things happen without hand-holding Bangalore Connected: You know the city's startup, community, and event landscape What You'll Gain Learn from the best: Work directly with IIT/BITS alumni who've built products used by millions Own real impact: Your work directly influences user success and company growth Network access: Connect with Bangalore's top community leaders and startup ecosystem Career acceleration: High conversion rate to full-time with rapid growth trajectory Technical exposure: See how AI agents are built and deployed at scale The Team Founders IIT graduates with product and technical leadership experience at Flipkart (₹2L+ Cr revenue), Zalando (€10B+ GMV), and successful D2C exits. Team includes engineers from IIT/BITS with AI/ML backgrounds.We're building the infrastructure for the creator economy's next phase. Join us while we're still small enough for you to shape everything. Message Vrishab Nair Show more Show less

Job Title: Fresher AI-Assisted Content Writer Company: Logicode Inc. Location: [Ahmedabad] Shift Timing: UK Shift (Time Adjustable) Experience: 0–1 Year (Freshers Welcome) Job Overview: Logicode Inc. is hiring a motivated and creative Fresher Content Writer with a passion for writing and curiosity for AI tools like ChatGPT . This is a unique opportunity to grow in a supportive team while working on content tailored for international (primarily UK) audiences. Key Responsibilities: Create and edit content using AI tools like ChatGPT, Jasper, or Grammarly. Research and write articles, blogs, product descriptions, and web content. Adapt tone and style as per brand guidelines and target audience. Collaborate with SEO and design teams to improve content performance. Stay updated on AI trends, digital content strategies, and market best practices. Requirements: Excellent command of English writing and grammar. Basic familiarity with AI content tools (training will be provided). Ability to research and simplify complex topics. Open to working flexible hours aligned with UK operations. Degree in English, Communications, Journalism, or related fields (preferred but not mandatory). Perks & Benefits: Friendly, supportive work environment Career growth and learning opportunities Hands-on experience with the latest AI writing tools Exposure to global content standards Flexible UK shift timings Interested candidate can share their CV at hr@logicode.in or can contact us on +919737526767 Show more Show less

Red & White Education Pvt Ltd , founded in 2008, is Gujarat's leading educational institute. Accredited by NSDC and ISO, we focus on Integrity, Student-Centricity, Innovation, and Unity. Our goal is to equip students with industry-relevant skills and ensure they are employable globally. Join us for a successful career path. Salary - 30K CTC TO 35K CTC Job Description: Faculties guide students, deliver course materials, conduct lectures, assess performance, and provide mentorship. Strong communication skills and a commitment to supporting students are essential. Key Responsibilities Deliver high-quality lectures on AI, Machine Learning, and Data Science. Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Show more Show less

Target As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. About the Team Supply Chain Network Optimization (SCNO) is a global team and part of Integrated Operations Planning & Network steering within Global Supply Chain and Logistics. We are at the forefront of defining and enabling an efficient, reliable and best in class supply chain. This team uses a wide variety of engineering and advanced applied mathematical techniques (5Why’s, ML, AI, OR, MILP, DES,) techniques to study and solve niche problems in supply chain across the entire value chain (Purchasing, transportation, Multi echelon inventory, last mile and process optimization) to enable the best guest experience and profitable growth for Target. About the Role As a Senior Operations Research Scientist in SCNO, you will study complex supply chain problems, develop a deep understanding of the business, and build cutting-edge solutions. The role requires strong experience working with large data sets, advanced programming skills, and a solid foundation in statistics, probability theory, machine learning, AI, simulations (such as Monte Carlo and discrete event simulation), and operations research. In addition to technical expertise, success in this role requires a strong appetite for developing business acumen, effective collaboration with cross-functional teams, and excellent communication and presentation skills. Key responsibilities include: Developing a deep understanding of business problems through data analysis, root cause investigation, and close collaboration with team members. Efficiently gathering, analyzing, and processing large data sets by writing optimized code and building scalable data solutions. Learning and leveraging existing data science tools and models across different business domains to solve real-world challenges. Designing and implementing new applied mathematical models to address complex business problems. Interpreting model results to generate actionable insights for leadership. Communicating clearly and proactively with business leaders, peers, and stakeholders. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About You 6+ years of professional experience with a Bachelor's or Master's degree (3+ years for a PhD) in Mathematics, Statistics, Computer Science, or a related field. 4+ years of experience with programming in Python, PySpark, R, SQL, and open-source data science tools. 4+ years of experience applying advanced data science, AI, and operations research techniques. Strong problem-solving skills with the ability to address business challenges creatively. Skilled in cleaning, transforming, and analyzing large datasets to generate insights. Passionate about continuous learning and empirical research, with excellent communication skills, both written and verbal. Retail and supply chain experience is a plus. Team-oriented with the ability to collaborate effectively across locations and time zones. Strong written and verbal communication skills. Why Work with Us at Target? Work on advanced analytics and data science projects that directly impact Target’s global supply chain, including inventory and capacity planning, transportation efficiency, and purchasing strategies. We support your professional growth through learning and development opportunities, powering you take courses in Data Science, Supply Chain, Operations Research, and other subjects. We value diversity and inclusion, fostering an environment that contributes to positive customer experiences. We offer flexible work schedules and arrangements, allowing team members to succeed both at work and in their personal lives in a hybrid setting. Useful Links to Learn More About Target and Our Benefits Life at Target: https://india.target.com/ Benefits: https://india.target.com/life-at-target/workplace/benefits Show more Show less

Location: Hyderabad, India Job Type: Full-Time Job Summary We are looking for a strategic and forward-thinking Customer Success Enablement Manager to empower our CX teams with the training, tools, and knowledge they need to drive customer outcomes at scale . You will architect enablement programs, integrate AI into CS workflows, and lead cross-functional alignment to ensure our teams are skilled, informed, and future-ready. You’ll play a critical role in shaping how Keka delivers value across the customer lifecycle—especially in a fast-growing SaaS landscape where customer experience is the real product. Key Responsibilities Develop and execute scalable onboarding, training, and upskilling programs for Onboarding, CSMs, Support, and Training teams. Drive AI-first enablement initiatives —identify opportunities to integrate AI tools in daily CS work (e.g., ticket intelligence, nudges, auto-QBRs, knowledge bots). Build and manage a robust knowledge infrastructure —internal wikis, playbooks, SOPs, and CS toolkits. Collaborate with Product, Sales, and Marketing to deliver timely product updates, value messaging, and GTM readiness to CS teams. Measure enablement impact through defined KPIs (onboarding ramp time, productivity per CSM, NPS correlation, CSAT improvement, tool adoption). Maintain and enhance Learning Management Systems (LMS), onboarding portals, and self-paced learning modules. Standardize and drive adoption of CS tools (e.g., Gainsight, Salesforce, ChurnZero), and improve data quality & hygiene practices . Partner with CS Leadership to assess skill gaps and build competency-based learning paths and certification programs. Qualifications 4–8 years of experience in Customer Success, Enablement, Revenue Ops, or L&D for tech/SaaS teams. Proven ability to build and scale enablement programs that drive performance and customer value. Experience with CS platforms (Gainsight, Totango), LMS tools (TalentLMS, Lessonly), and enablement platforms (Guru, Highspot). Strong content development, curriculum design, and storytelling skills. Excellent collaboration and stakeholder management capabilities across cross-functional teams. Familiarity with AI-driven tooling and automations used in CS (e.g., ticket classifiers, AI-summarizers, sentiment analysis). Preferred Skills Background in Instructional Design or Learning & Development. Experience building or managing AI-led enablement workflows (chatbots, knowledge assistants, product coaching tools). Certification in enablement methodologies (e.g., ATD, CSM, Pragmatic Institute). Understanding of key CS metrics— NRR, churn, adoption, expansion , and how enablement directly impacts them. Passion for tech adoption, behavioral change, and performance coaching. Show more Show less

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: MAM, App integration Crop.Photo is Looking for: Technical Lead for Evolphin AI-Driven MAM At Evolphin, we build powerful media asset management solutions used by some of the world’s largest broadcasters, creative agencies, and global brands. Our flagship platform, Zoom, helps teams manage high-volume media workflows—from ingest to archive—with precision, performance, and AI-powered search. We’re now entering a major modernization phase, and we’re looking for an exceptional Technical Lead to own and drive the next-generation database layer powering Evolphin Zoom. This is a rare opportunity to take a critical backend system that serves high-throughput media operations and evolve it to meet the scale, speed, and intelligence today’s content teams demand. What you’ll own Leading the re-architecture of Zoom’s database foundation with a focus on scalability, query performance, and vector-based search support Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rollout—all with aggressive timelines Skills & Experience We Expect We’re looking for candidates with 7–10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas: System Design & Architecture (3–4 yrs) Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments Led system-level design for scalable, modular AWS microservices architectures Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models Deep understanding of infrastructure observability, failure handling, and graceful degradation Database & Metadata Layer Design (3–5 yrs) Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases Comfortable evaluating trade-offs between memory, query latency, and write throughput Semantic Search & Vectors (1–3 yrs) Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases Experience tuning vector indexers for performance, memory footprint, and recall Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints) Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them Media Asset Workflow (2–4 yrs) Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC Understanding of proxy workflows in video post-production Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives Cloud-Native Architecture (AWS) (3–5 yrs) Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge Experience building serverless or service-based compute models for elastic scaling Familiarity with managing multi-region deployments, failover, and IAM configuration Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows Frontend Collaboration & React App Integration (2–3 yrs) Worked closely with React-based frontend teams, especially on desktop-style web applications Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries Experience with Electron for desktop apps How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

📌 Job Title: Business Development Intern 🏢 Company: Accrevise – AI-Enabled Virtual CFO & Compliance Services 📍 Location: On-site (Jaipur) 🕒 Duration: 2–6 Months | Full-time / Part-time 💼 Stipend: Performance-based stipend (with potential PPO for top performers) About Accrevise Accrevise is a next-gen virtual CFO firm leveraging AI and automation to offer intelligent financial planning, compliance, and business process solutions to startups and SMEs. We operate at the intersection of finance, technology, and strategy, building tools that redefine how compliance and decision-making work.Role Overview We are seeking a dynamic and self-motivated Business Development Intern to join our growth team. The intern will work directly with the founder and senior consultants to identify leads, pitch services, and optimize growth strategies across domestic and international markets. Key Responsibilities Research and identify potential clients (Indian startups, SMEs, and global CPA firms) Assist in drafting compelling LinkedIn messages, emails, and pitch decks Manage CRM tools to track and follow up with leads Coordinate outreach campaigns through email, LinkedIn, and partnerships Conduct market research on industry verticals, competitor mapping, and positioning Assist in proposal creation and client onboarding documentation Join founder in business calls, take notes, and follow up with stakeholders Skills & Qualifications Pursuing/completed a degree in Commerce, Business, Finance, or related fields Excellent written and verbal communication (English fluency a must) Comfortable with LinkedIn, Notion, Google Workspace, and CRM tools Passion for startups, fintech, automation, and AI-led innovation Analytical mindset with a problem-solving attitude Previous experience in sales/BD/marketing (preferred but not mandatory) What You’ll Gain Hands-on experience in building a B2B professional services firm Exposure to AI-led transformation in finance and compliance Direct mentorship from the founder Opportunity to contribute to live client acquisition and growth strategy Certificate of Internship + Recommendation Letter + PPO (for top performers) Show more Show less

About Company: Our Client is a multinational IT services and consulting company headquartered in USA, With revenues 19.7 Billion USD, with Global work force of 3,50,000 and Listed in NASDAQ, It is one of the leading IT services firms globally, known for its work in digital transformation, technology consulting, and business process outsourcing, Business Focus on Digital Engineering, Cloud Services, AI and Data Analytics, Enterprise Applications ( SAP, Oracle, Sales Force ), IT Infrastructure, Business Process Out Source. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru. Offices in over 35 countries. India is a major operational hub, with as its U.S. headquarters. Job Title: MERN Stack Developer Location: Hyderabad Experience: 6+ years Job Type : Contract to hire. Notice Period: Immediate joiners. Mandatory Skills: Hands-on with Express.js, React.js, Node.js, and MongoDB. Job Description: 6+ years of experience in MERN stack development. Proficient in JavaScript (ES6+), HTML5, CSS3. Hands-on with Express.js, React.js, Node.js, and MongoDB. Familiar with Git, Agile workflows, and DevOps basics. Strong problem-solving and communication skills. Self-driven and capable of managing tasks independently. Show more Show less

Job Description Understand customer requirements and challenges and recommend suitable and optimal technology solution Develop POC’s and Minimal Viable Product (MVP) to demonstrate capabilities of CoPilot Studio (Power Virtual Agents), Power Apps and Power Automate Develop conversational assistants and generative AI solutions from scratch and enhance it. Create bots with Copilot Studio using natural language to generate topics, trigger phrases and responses. Develop Copilot plugins and connectors for Copilot extensibility. Automate business process by developing and delivering Power Platform based solutions. Skills Required RoleManager - Microsoft Copilot Industry TypeITES/BPO/KPO Functional AreaITES/BPO/Customer Service Required Education BACHELOR IN TECHNOLOGY Employment TypeFull Time, Permanent Key Skills MICOROSFT COPILOT POWER BI POWER PLATFORM POWER APPS AWS AZURE Other Information Job CodeGO/JC/288/2025 Recruiter NameRamya V Show more Show less

Our Client is a multinational IT services and consulting company headquartered in USA, With revenues 19.7 Billion USD, with Global work force of 3,50,000 and Listed in NASDAQ, It is one of the leading IT services firms globally, known for its work in digital transformation, technology consulting, and business process outsourcing, Business Focus on Digital Engineering, Cloud Services, AI and Data Analytics, Enterprise Applications ( SAP, Oracle, Sales Force ), IT Infrastructure, Business Process Out Source. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru. Offices in over 35 countries. India is a major operational hub, with as its U.S. headquarters. · Job Title:Python testing · Location: Hyderabad · Experience: 5+ · Notice Period:- Immediate joiners. 5 to 10 years’ Hands on experience in Robot framework At least 5+ years of working knowledge in Python At least 4+ years of hands - on experience in data testing ETL Testing At least 4+ years of hands-on experience in Database like MYSQL,SQL Server, Oracle Must be well versed with Agile Methodology Show more Show less

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire AI/ML Professionals in the following areas : Designation: Sr. Data Scientist Experience: 4–8 Years Job Type: Full-time We are seeking a highly skilled and motivated Senior Data Scientist to join our dynamic team. In this role, you will leverage your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. You will design, develop, and deploy sophisticated machine learning models, conduct in-depth data analyses, and collaborate with cross-functional teams to deliver actionable insights. Responsibilities Design and implement RAG pipelines using LangChain and LangGraph. Integrate AWS Open Source Vector Databases (e.g., OpenSearch with KNN plugin). Handle complex query chaining, prompt orchestration. Work with graph-based knowledge representations (e.g., Neo4j, Stardog). Collaborate with teams to deliver scalable GenAI solutions. Required Skills Proficiency in LLMs, LangChain, and embeddings. Strong background in classification, regression, clustering, and NLP. Knowledge of AWS and DevOps (Docker, Git). Hands-on with FastAPI, model deployment workflows. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture Show more Show less

About Cognida.ai Our Purpose is to boost your competitive advantage using AI and Analytics. We Deliver tangible business impact with data-driven insights powered by AI. Drive revenue growth, increase profitability and improve operational efficiencies. We Are technologists with keen business acumen - Forever curious, always on the front lines of technological advancements. Applying our latest learnings, and tools to solve your everyday business challenges. We Believe the power of AI should not be the exclusive preserve of the few. Every business, regardless of its size or sector deserves the opportunity to harness the power of AI to make better decisions and drive business value. We See a world where our AI and Analytics solutions democratise decision intelligence for all businesses. With Cognida.ai, our motto is ‘No enterprise left behind’. Overview We are seeking a Senior Data Scientist who balances exceptional technical expertise with strong business acumen. The ideal candidate will be equally proficient in technical data analysis using SQL and Python, and in understanding business contexts to deliver actionable insights that drive strategic decisions. Key Responsibilities Partner with business stakeholders to understand objectives and translate them into analytical frameworks Design and execute analyses that directly address business challenges using SQL, Python, and other analytical tools Develop data-driven recommendations that align with organizational goals and strategies Communicate complex findings in business terms that resonate with executives and decision-makers Identify business opportunities through proactive data exploration and analysis Build and validate statistical models that solve real business problems Influence product and business strategies through data-backed insights Serve as a bridge between technical and business teams, effectively translating between domains Technical Skills Advanced SQL proficiency for complex data querying and manipulation Strong Python programming skills with focus on data analysis libraries Experience building and deploying statistical and machine learning models Data visualization and dashboard creation for business audiences Data cleaning, transformation, and feature engineering expertise Business Skills Demonstrated ability to understand business objectives and translate them into analytical questions Experience working directly with business stakeholders to define key metrics and success criteria Skill in presenting technical findings in business terms and recommending actionable strategies Understanding of business operations, market dynamics, and competitive landscapes Ability to prioritize analytical work based on business impact Qualifications 8+ years experience in data science with demonstrated impact on business outcomes Bachelor's degree required; advanced degree in quantitative field preferred Track record of successful projects that combine technical excellence with business value Experience in collaborative environments working across business and technical teams Personal Attributes Curious mindset that questions assumptions and explores beyond the obvious Strong communicator who can adapt message to different audiences Strategic thinker who connects data insights to broader business context Self-directed learner who stays current in both technical and business domains Comfortable navigating ambiguity and driving clarity through data Show more Show less

About CoreAIVideo At CoreAIVideo , we specialize in rapid, AI-powered video production , ideal for personal branding and marketing at scale. While the AI video market is projected to reach $42B by 2030 , many businesses find traditional production both expensive and time-consuming. By cutting 80% of the typical cost and effort, we’re making premium-quality short-form video truly accessible. Why Join Now Equity Partner : Step into an executive role in a company backed by nearly 30 years of tech expertise at Outsourcing4work GmbH in Germany (www.outsourcing4work.de). 100% Remote : Work from anywhere, helping shape a world-class tech product for a global audience. Upcoming Fundraising : We’re preparing our first investment round; we’ll share our pitch deck if you’re the right fit. For a deeper look at what we do, visit www.coreaivideo.com and our CEO´s LinkedIn profile (https://www.linkedin.com/in/knadeemarif/). Responsibilities Partner with the CTO to build the product end-to-end — hands-on development is key. (Our MVP is already in progress.) Architect and develop the initial SaaS platform with a focus on scalability, performance, and security. Integrate AI video workflows and orchestrate APIs and agents for scripting, audio & video cloning, editing, and rendering. Create key modules: user auth, video editing/rendering interface, content library, user dashboards, and billing integration. Choose and implement the tech stack — you’ll help define the foundation. Set up cloud infrastructure, CI/CD pipelines, deployment, and monitoring. Collaborate on the technical vision and contribute to the product roadmap. Ideal Profile A full-stack developer with experience building SaaS platforms from MVP to production . Proficient in React (for front-end) and Supabase (for backend, database, and auth). Fluent in writing scalable code using modern frameworks: Node.js , Python and TypeScript . Strong cloud skills — preferably with AWS , GCP , or similar. Solid command of version control and team collaboration via GitHub . Ideally has experience integrating AI/ML APIs and building or orchestrating AI agent-based systems , including LLMs and AI video generation engines . Experience with automation platforms like n8n and the ability to integrate them to streamline workflows, is a strong plus. A builder’s mindset: you take ownership, work independently, and want to co-create something meaningful. The Collaboration & Financial Setup Sweat Equity: Initially, your compensation will be in the form of sweat equity. Post-Funding Salary: Once our first fundraising round is complete, we’ll shift you into a salary model. Ready to Elevate Video Creation? If you’re excited about shaping the future of AI-powered video creation, we’d love to hear from you. Send your CV , a short note about your SaaS development journey , and tell us why you’re passionate about CoreAIVideo . Let’s redefine how people create premium video content—together. Show more Show less

Position: Manager -B2B Conference Sponsorship Manager Employment Type: Full-Time Industry: Robotics, AI, Tech Conferences, & B2B Events Clients: Oil & Gas & Energy About the Role: We are looking for a results-driven B2B Conference Sponsorship Manager to drive sponsorship, delegate, and exhibitor sales for high-profile Robotics, AI, and Technology events. Engage with decision-makers from leading tech companies that provide innovative solutions to the Energy sector. You will be responsible for generating revenue by pitching to C-level executives, tech companies, and industry leaders , building lasting relationships, and maximizing event participation. Key Responsibilities: Sales & Business Development: Identify, prospect, and close deals for sponsorships, delegate sales, and exhibitor packages. Client Engagement: Develop strategies to engage Energy industry professionals , ensuring their participation and networking with event sponsors & pitch event value propositions to decision-makers in AI, Robotics, and Tech sectors. Lead Generation: Develop and maintain a pipeline of potential sponsors, exhibitors, and attendees. Networking & Relationship Building: Engage with key stakeholders, industry leaders, and corporate clients. Target Achievement: Meet and exceed monthly and quarterly sales goals. Market Research: Stay updated on industry trends and competitor events to refine sales strategies. Collaboration: Work closely with marketing and event teams to enhance event promotion and sales strategies. Requirements: Proven experience in B2B event sales (preferably in Robotics, AI, or Tech) Strong sales, negotiation, and relationship-building skills Experience pitching to senior executives, sponsors, and exhibitors Ability to generate and convert leads effectively Self-motivated, target-driven, and comfortable working in a remote environment Experience with CRM tools, LinkedIn Sales Navigator, and cold outreach is a plus Show more Show less

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: MAM, App integration Crop.Photo is Looking for: Technical Lead for Evolphin AI-Driven MAM At Evolphin, we build powerful media asset management solutions used by some of the world’s largest broadcasters, creative agencies, and global brands. Our flagship platform, Zoom, helps teams manage high-volume media workflows—from ingest to archive—with precision, performance, and AI-powered search. We’re now entering a major modernization phase, and we’re looking for an exceptional Technical Lead to own and drive the next-generation database layer powering Evolphin Zoom. This is a rare opportunity to take a critical backend system that serves high-throughput media operations and evolve it to meet the scale, speed, and intelligence today’s content teams demand. What you’ll own Leading the re-architecture of Zoom’s database foundation with a focus on scalability, query performance, and vector-based search support Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rollout—all with aggressive timelines Skills & Experience We Expect We’re looking for candidates with 7–10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas: System Design & Architecture (3–4 yrs) Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments Led system-level design for scalable, modular AWS microservices architectures Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models Deep understanding of infrastructure observability, failure handling, and graceful degradation Database & Metadata Layer Design (3–5 yrs) Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases Comfortable evaluating trade-offs between memory, query latency, and write throughput Semantic Search & Vectors (1–3 yrs) Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases Experience tuning vector indexers for performance, memory footprint, and recall Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints) Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them Media Asset Workflow (2–4 yrs) Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC Understanding of proxy workflows in video post-production Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives Cloud-Native Architecture (AWS) (3–5 yrs) Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge Experience building serverless or service-based compute models for elastic scaling Familiarity with managing multi-region deployments, failover, and IAM configuration Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows Frontend Collaboration & React App Integration (2–3 yrs) Worked closely with React-based frontend teams, especially on desktop-style web applications Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries Experience with Electron for desktop apps How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less