819 Llms Jobs - Page 7

The company FeatureFlow.Digital is a pioneer in AI-driven product development, assisting organizations in transitioning from conventional software delivery to outcome-centric development. They are currently developing an AI-powered workflow and agent-based tool that aims to revolutionize how businesses handle features, enhance decision-making, and boost efficiency. FeatureFlow.Digital is seeking a forward-thinking Chief Technology Officer (CTO) who can formulate the technical strategy, as well as invest in the company, thereby playing a pivotal role in shaping its future. As the CTO, your responsibilities will include defining and implementing the technical roadmap for AI-enabled workflows and autonomous AI agents, overseeing backend development to ensure scalability, security, and performance, integrating AI/ML to develop intelligent, self-optimizing systems, collaborating with product and design teams to deliver seamless user experiences, establishing best practices for cloud infrastructure, DevOps, and data security, building and leading a highly skilled engineering team, working closely with founders, investors, and stakeholders to expand FeatureFlow.Digital globally, and contributing to strategic growth and fundraising initiatives as an investor. The ideal candidate for this role is an experienced tech leader with proficiency in AI, ML, LLMs, NLP, and backend architecture, a track record of constructing and expanding enterprise-grade SaaS platforms, a solid understanding of microservices, cloud platforms such as AWS/GCP/Azure, and API-first development, experience in AI agent-based systems and intelligent automation, a founder mindset with a passion for high-growth, hands-on leadership, and investing in the company's vision, and previous exposure to startups or entrepreneurial ventures. Joining FeatureFlow.Digital offers you the opportunity to have equity and investment stake in the company's success, work on cutting-edge AI-driven innovations with a bold vision, play a role in shaping the future of feature management and workflow automation, and be part of a collaborative, high-impact environment with global growth prospects.,

As an AI Engineer at Deriv, you will play a key role in revolutionizing the world of CFD trading by leveraging cutting-edge AI solutions. Your responsibilities will involve crafting and refining production-grade prompting strategies for large language models, building and maintaining LLM pipelines using LangChain, and developing frameworks for LLM performance metrics and quality assessments. Additionally, you will design and implement GenAI applications, optimize similarity-based retrieval systems, and architect multi-agent systems for autonomous decision-making. If you enjoy solving complex problems, staying updated on AI technologies, collaborating with diverse teams, delivering high-quality results under tight deadlines, and contributing to the future of online trading through AI, then you will thrive in this role. To excel in this position, you should be proficient in Python with a focus on GenAI best practices, have a deep understanding of LLMs, prompt engineering, and GenAI technologies, be skilled in data analysis tools like Pandas and NumPy, and possess hands-on experience with vector databases such as Weaviate or Pinecone. Strong problem-solving skills, critical-thinking abilities, clear communication skills, and an advanced degree in Computer Science, Machine Learning, or a related field are preferred qualifications. Deriv offers a dynamic work environment where you can make a significant impact by working on transformative AI projects that shape the future of online trading. You will have access to innovative tools, models, and learning resources, competitive compensation, and opportunities for career growth within a forward-thinking team committed to embracing an AI-driven future.,

We are looking for an AI Developer specializing in Gen AI Deep Learning and NLP to join our team and contribute to the development of AI-powered applications. As an AI intern with expertise in point cloud, you will collaborate closely with our development team to explore, devise, and execute AI algorithms for point cloud data processing and analysis. Your responsibilities will include developing and deploying cutting-edge models in Computer Vision, Deep Learning, NLP, and Gen-AI for various organizational applications. You will be engaged in advanced data pre-processing, cleaning, and extraction for diverse data types such as images, texts, and genomic data. Working alongside multidisciplinary teams, you will craft AI-driven solutions tailored to meet the business requirements. Additionally, you will be responsible for architecting and overseeing machine learning pipelines for a range of AI tasks, continuously refining and optimizing models to ensure peak performance and scalability. To excel in this role, you must stay abreast of the latest advancements in AI, Computer Vision, NLP, and GENAI research and adeptly translate these innovations into practical solutions. Furthermore, you will be expected to deliver impactful data visualizations and insights to stakeholders, mentor junior data scientists, and uphold a culture of excellence and collaboration within the team. Rigorous documentation of research, methodologies, and insights is essential to foster knowledge growth within the team, along with championing best practices and standards across AI domains within the company. Requirements: - Bachelor's or Master's degree in Computer Science or related fields. - At least 2 years of hands-on experience in AI disciplines, with a focus on deep learning techniques. - Proficiency in programming languages like Python and familiarity with AI libraries such as TensorFlow, PyTorch, and sci-kit-learn. - Comprehensive understanding of NLP techniques (e.g., LLMs, Chatbots), Computer Vision (e.g., object detection, image segmentation, Image generation), and generative AI. - Experience with cutting-edge NLP, computer vision, deep learning, and relevant generative AI models. - Strong grasp of ML methodologies, statistical analyses, and data interpretation. - Ability to handle and process large datasets, with expertise in data pre-processing and transformation. - Exceptional problem-solving skills, thriving in both independent and collaborative environments. - Proficient communication skills, capable of explaining complex technical details to diverse audiences. - Demonstrated track record of deploying AI solutions to solve tangible business challenges. If you meet all the specified requirements, we encourage you to apply for this exciting opportunity.,

Job responsibilities Serve as a subject matter expert on a wide range of machine learning techniques and optimizations. Provide in-depth knowledge of machine learning algorithms, frameworks, and techniques. Enhance machine learning workflows through advanced proficiency in large language models (LLMs) and related techniques. Conduct experiments using the latest machine learning technologies, analyze results, and tune models. Engage in hands-on coding to transition experimental results into production solutions by collaborating with the engineering team, owning end-to-end code development in Python for both proof of concept/experimentation and production-ready solutions. Optimize system accuracy and performance by identifying and resolving inefficiencies and bottlenecks, collaborating with product and engineering teams to deliver tailored, science and technology-driven solutions. Integrate Generative AI within the machine learning platform using state-of-the-art techniques, driving decisions that influence product design, application functionality, and technical operations and processes Required qualifications, capabilities, and skills Formal training or certification on AI/ML concepts and 5+ years applied experience Hans on experience in programming languages, particularly Python. Manage to apply data science and machine learning techniques to address business challenges. Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs). Expertise in deep learning frameworks such as PyTorch or TensorFlow, and advanced applied ML areas like GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, and RAG (Similarity Search). Manage to complete tasks and projects independently with minimal supervision, with a passion for detail and follow-through. Excellent communication skills, team player, and demonstrated leadership in collaborating effectively with engineers, product managers, and other ML practitioners.

Building off Oracle's Cloud momentum, a new organization - Oracle Health & AI has been created. The team is dedicated to product development and strategy for Oracle Health, focusing on modernized, automated healthcare. This innovative venture embodies an entrepreneurial spirit, fostering an energetic and creative environment. Your contribution is vital in establishing this organization as a world-class engineering center with a strong emphasis on excellence. Within the overarching Oracle Health & AI organization, the Oracle Digital Assistant (ODA) serves as an Assistant platform enabling developers to craft skills and digital assistants using Conversational AI and Generative AI capabilities in a low-code paradigm. The ODA team has been driving conversational AI experiences for both internal Oracle teams and external customers for the past 7 years. The team is evolving rapidly to offer Generative AI solutions for healthcare and enterprise sectors, operating in an agile environment with significant visibility and support from senior leadership. We are seeking ML scientists, Data Engineers, Software Development Engineers, Product/Program Managers, and ML engineers with a robust machine learning background to develop cutting-edge solutions. Your role involves working with extensive datasets to address real-world challenges in the Healthcare domain, which will be integrated into our Health AI products. These newly formed teams based in the India Center will be engaged in New Feature Development, Software Development, ML Engineering, MLOps, LLMOps, Applied ML Sciences, and ML Research, with a primary focus on GenAI capabilities. Your involvement will be crucial in delivering innovative Generative AI-powered solutions for healthcare and enterprise clients. Qualifications: - Bachelor's Degree with relevant experience; Master's degree - Experience in real-world MLOps deploying models into production and enhancing product features - Proficiency in working within a cloud environment - 3+ Years of Experience - Strong understanding of LLMs, GenAI, Prompt Engineering, and Copilot Career Level - IC3 Responsibilities: - Proficient in Python programming and a Deep Learning framework (PyTorch, MXNet, TensorFlow, Keras) with knowledge of LLMs, LLMOps, and Generative AI to deliver as per specifications independently - Familiarity with Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, NLP, and hands-on experience in developing ML models using these techniques - Ability to utilize existing libraries and design algorithms from scratch, create data pipelines, and feature engineering pipelines for robust model building - Leveraging ML Sciences depth, programming skills, and mathematical understanding to provide advanced ML solutions for problem-solving in the Healthcare domain - Lead the selection of methods and techniques to drive solutions - Exhibit strong program management skills to multitask efficiently - Mentor and lead junior data scientists effectively - Contribute to peer reviews, team learning, achieve product objectives, and establish best practices for the organization - Extensive experience in LLM Systems, LLMOps, familiarity with Prompt Engineering, and RAG systems,

As a GenAI Developer, you will be responsible for the end-to-end development of GenAI applications. This includes designing and building applications using LLMs such as LLaMA, Mistral, GPT-J, Falcon, and Claude. You will also implement RAG pipelines using vector databases like FAISS, ChromaDB, or Weaviate, and create and tune prompt templates, guardrails, and output parsers using tools like LangChain, Haystack, or LlamaIndex. In the realm of Agentic AI & Autonomy, you will be tasked with developing AI agents that leverage planning, memory, tools, and self-reflection. This may involve utilizing tools such as AutoGen, CrewAI, or LangGraph to build task-oriented chains with autonomous behaviors for decision-making and workflow automation. Your role will also encompass Model Training & Fine-Tuning, where you will perform SFT on open-source models using libraries like HuggingFace Transformers, PEFT, LoRA, or QLoRA. Additionally, you will evaluate model performance using GenAI metrics and frameworks such as DeepEval and TruLens. ML System Integration will be a key aspect of your responsibilities, involving the use of ML libraries like Scikit-learn, TensorFlow, PyTorch, and XGBoost to integrate traditional ML pipelines alongside GenAI components. You will be expected to develop APIs and microservices using FastAPI or Flask to expose GenAI/ML services. Furthermore, you will contribute to ensuring the security, observability, and control of AI workflows by employing red-teaming, logging, tracing, and policy controls. Additionally, you will play a role in developing tools and dashboards to explain and evaluate model behavior. The core requirements for this role include proficiency in Python, with strong coding skills and the ability to write modular, production-grade code. You should have experience in Generative AI, including using and fine-tuning LLMs, working on RAG, SFT, and prompt engineering, and being familiar with open-source LLMs and frameworks like HuggingFace and LangChain. Exposure to building multi-agent workflows using tools such as AutoGen, CrewAI, or LangGraph is also desired. In terms of ML Foundation, you should have a practical understanding of supervised/unsupervised ML models and experience using Scikit-learn, XGBoost, PyTorch, and TensorFlow. Preferred (Bonus) Skills include experience with Vector DBs like FAISS, Pinecone, ChromaDB, model evaluation tools such as DeepEval and TruLens, LLMOps tools like Weights & Biases, MLflow, BentoML, cloud services like AWS (SageMaker, Bedrock), GCP, or Azure, as well as familiarity with Docker, Git, and CI/CD for deployment.,

As an Emerging Technology Architect with over 15 years of experience, you will be responsible for identifying, evaluating, and integrating cutting-edge technologies into the organization's ecosystem and future projects. Your role will involve ensuring that the organization remains at the forefront of industry trends and maintains a competitive edge. Your expertise in Pre-sales and Principal Architect/Lead Solution Architect will be crucial in driving success in emerging technologies such as AI/ML, Blockchain, and more. Your primary responsibilities will include leading the strategic design, implementation, and governance of next-generation technology solutions across various domains including AI/ML, cloud, blockchain, big data, security, and automation. You will need to demonstrate deep expertise in cutting-edge technologies, industry best practices, and innovative approaches to facilitate business transformation. Additionally, you will be responsible for identifying emerging technologies, conducting thorough research and feasibility studies, developing technology roadmaps, and devising adoption strategies that align with business objectives. In your role, you will lead the end-to-end process of responding to RFPs, RFIs, and RFQs, ensuring timely and high-quality submissions. This will involve analyzing client requirements, leading architectural discussions, and solution workshops to design end-to-end solutions and map requirements to solution/service catalogues. Your ability to lead client discussions, support presales solutions, and drive architectural change management will be essential. You will be expected to actively listen and respectfully challenge customers/partners, present insights and alternatives, and lead the design of innovative, scalable, and secure solutions using emerging technologies. Collaboration with cross-functional teams to integrate new technologies into existing systems, developing architectural blueprints, and maintaining documentation will be crucial aspects of your role. Moreover, you will design and implement AI/ML solutions to enhance business intelligence and automation, staying abreast of industry trends and contributing to whitepapers and representing the organization in technology forums and conferences. Your ability to articulate technical solutions, architecture, and strategies to address client needs, collaborate with various teams, and create comprehensive proposals will be instrumental in driving success in this role. Your expertise in emerging technologies and your role in ensuring the organization's technological advancement will be key to achieving organizational goals.,

As a multi-disciplinary AI & Agentic Systems Engineer at Memorae, you will play a crucial role in our core product team, working at the crossroads of deep learning, agentic reasoning, and platform architecture. Your responsibilities will include architecting and deploying deep learning systems to create intelligent, context-aware experiences. You will be tasked with building multi-system AI pipelines that integrate tools, APIs, and memory-based reasoning. Additionally, you will design agentic flows that automate tasks, delegate responsibilities, and enable real-time decision-making. Writing and refining modular prompts for various LLMs tailored to specific tasks and use cases will also be a key part of your role. Furthermore, you will re-architect platform components to ensure scalability, maintainability, and accommodate evolving AI features. Collaboration with cross-functional teams to align AI behaviors with product goals and UX principles is an essential aspect of this position. We value candidates with proven experience in LLMs, foundation models, and prompt optimization techniques. A strong foundation in deep learning, particularly in PyTorch or TensorFlow, is required. Experience in microservices architecture and container-based environments such as Docker and Kubernetes is also essential. The ability to design, scale, and maintain multi-system infrastructures is highly valued. Familiarity with memory-augmented systems, RAG techniques, and dynamic orchestration is a plus. A product mindset focused on creating useful, reliable, and human-centered AI experiences is crucial. Proficiency in Node.js and backend development in JavaScript or TypeScript is an added advantage. At Memorae, you will be part of a fast-moving environment where you will have real ownership and visibility. We offer a competitive salary and equity options tailored to your experience and potential. This role provides you with the opportunity to contribute to shaping the future of AI-driven productivity. Location: New Delhi Start Date: Immediate Salary: Competitive, based on experience,

You should have 8+ years of experience in leading end-to-end delivery of Gen AI solutions across manufacturing and administrative domains. Your role will involve architecting AI models using NLP, LLMs, and generative technologies tailored for industry-specific use cases. You will be required to engage with clients to understand their business needs and translate them into technical requirements. Additionally, you will mentor and guide technical teams and junior consultants on Gen AI implementation. Collaboration with cross-functional teams for solution integration and deployment is an essential part of this role. You will also be responsible for ensuring the quality, scalability, and compliance of AI solutions. It is crucial to stay current with Gen AI trends and advancements to drive innovation in this field. Furthermore, you will be expected to support pre-sales and proposal efforts as a Gen AI subject matter expert.,

As a Generative AI Architect at Techvantage.ai, your primary responsibility will be to design and lead end-to-end solutions incorporating Large Language Models (LLMs), diffusion models, transformers, and multimodal AI across various enterprise and consumer use cases. You will play a crucial role in developing robust and scalable architectures for prompt engineering, model orchestration, embedding pipelines, vector databases, and fine-tuning/instruction tuning. Your expertise will be essential in evaluating and integrating both open-source and proprietary models based on specific business requirements. In this strategic and high-impact role, you will be expected to collaborate closely with product managers, data scientists, engineers, and clients to design and implement cutting-edge GenAI-powered applications aligned with business objectives. Ethical considerations such as data privacy, model safety, and bias mitigation will be integral parts of your responsibilities. Moreover, your contribution to internal GenAI accelerators, reusable frameworks, and innovation strategies will be crucial to the continuous growth and development of the organization. To excel in this position, you should possess a minimum of 10 years of experience in technology roles, specifically in AI/ML architecture, data engineering, or solution architecture, with at least 3 years dedicated to designing and deploying Generative AI solutions. Deep knowledge of transformer architectures, LLMs, diffusion models, and related frameworks is essential, as well as proficiency in Python, Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP. Strong communication and stakeholder management skills will also be key in effectively conveying complex AI concepts to non-technical audiences. While not a mandatory requirement, experience deploying GenAI systems in BFSI, healthcare, e-commerce, or enterprise SaaS platforms, familiarity with agentic AI systems, autoML, RLHF, or autonomous agents, and knowledge of data governance, compliance, and responsible AI frameworks will be advantageous. Additionally, contributions to open-source AI projects or publications in the AI/ML domain would be considered a strong plus. A Master's or PhD in Computer Science, AI/ML, Data Science, or related field is preferred. Join us at Techvantage.ai and lead innovation at the forefront of Generative AI and intelligent systems. You will have the opportunity to work with a highly talented team, leverage state-of-the-art tools and models, and receive generous compensation that reflects your expertise and contributions.,

As a Generative AI & Intelligent Automation Consulting Practitioner, you will lead the design and delivery of end-to-end GenAI and AI/ML powered automation solutions, as well as advisory engagements. Your role will involve demonstrating thought leadership to advise clients on AI and Process automation strategy, leveraging established insights and industry-leading practices. You will be a part of Accenture Strategy and Consulting, where you will help organizations reimagine and transform their operations for tomorrow, with a positive impact on business, society, and the planet. Working within the Supply Chain and Operations practice, you will collaborate with clients, especially in the Supply Chain domain, to design solutions that deliver real business value by utilizing cutting-edge Generative AI & Intelligent Automation technologies. Your responsibilities will include contributing to pre-sales, delivering presentations, and crafting GenAI & AI solutions. You will develop proposals to help clients understand proposed solutions and their business impact. Additionally, you will formulate and deploy GenAI strategies for clients, create thought leadership pieces, and develop tools and methodologies for the practical application of GenAI and process automation to address business challenges. To excel in this role, you should have a minimum of 6 years of proven track record in AI automation and solutions like NLP, OCR, Document Understanding, and Chatbots. Strong analytical and problem-solving skills, along with excellent communication and interpersonal abilities, are essential. You should also possess cross-cultural competence, strong team-management skills, and the ability to thrive in a dynamic environment. Furthermore, you will have the opportunity to work on transformative projects with key G2000 clients and collaborate with industry experts to shape innovative solutions leveraging emerging technologies. Accenture offers personalized training modules to enhance your strategy & consulting acumen, along with a commitment to promoting equality and boundaryless collaboration across the organization. Accenture is a leading global professional services company that provides services and solutions in strategy, consulting, digital, technology, and operations. With a focus on digital disruption and redefining competitiveness, Accenture Strategy helps clients find future value and growth in a digital world. The Global Network within Accenture Strategy provides expertise and measurable value to clients worldwide, complementing in-country teams to deliver cutting-edge solutions. If you are an outcome-oriented problem solver with a passion for innovation and making a difference, Accenture's Generative AI & Intelligent Automation Consulting Practitioner role offers you the opportunity to contribute to transformative projects and collaborate with industry leaders to drive positive change.,

You will be a part of Bain Capability Network's Gurgaon office, specifically in the Data and Technology team, focusing on the Benchmarking team within the Data & Insights Industries CoE. Your primary responsibility will involve contributing to advancing Bain's expertise in the consumer products sector by developing and maintaining databases containing industry benchmarks and performance metrics. These data assets are crucial in providing Bain's consultants with valuable insights to drive client value in the consumer products industry. Furthermore, you will play a key role in creating intellectual property (IP) essential for new CPG cases globally at Bain. Your role will require you to translate business objectives into data and analytics solutions, utilizing various tools such as Gen AI, Scikit-Learn for machine learning models, and Hugging Face for NLP models. Collaborating with engineering and practice teams, you will be involved in designing scalable products, developing repeatable data processes, and staying updated on AI/ML technologies and best practices. Key responsibilities also include leading a small team, managing day-to-day activities, providing status updates, and creating standard operating procedures for data processes. A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related fields is preferred, along with 3+ years of experience in data science and engineering. Proficiency in Python or R, experience with AI/GenAI tools, RESTful and GraphQL APIs, MLOps practices, Git, and containerization is beneficial. Strong interpersonal and communication skills, along with the ability to explain technical concepts to a business audience, are essential for this role. Familiarity with Agile practices and Microsoft Office suite is preferred. Overall, you will play a vital role in enhancing Bain's capabilities in the consumer products sector through data-driven insights, innovative solutions, and advanced analytics. Your contributions will directly impact Bain's strategic guidance to clients and ensure excellence in the delivery of services.,

As a premier cloud-first consulting company, Avahi is dedicated to delivering exceptional value to customers by redefining the way businesses embrace a cloud-first approach. With a global team spanning North America, Europe, and Southeast Asia, Avahi fosters a collaborative and diverse environment where professional growth, creativity, and mutual respect thrive. Avahi is currently seeking a Head of AI to lead the company's AI strategy, drive innovation, and oversee AI solution development for customers. This leadership role requires deep expertise in AI/ML, cloud computing, and scalable architectures. The successful candidate will collaborate closely with AWS, customers, and internal teams to deliver transformative AI solutions that enhance business performance and unlock new opportunities. Key Responsibilities: - Define and execute Avahi's AI strategy in alignment with AWS advancements and market trends. - Lead the development of AI-driven solutions by collaborating with engineering, data scientists, and consulting teams. - Serve as a trusted AI advisor to customers, designing AI solutions that seamlessly integrate with AWS services. - Stay ahead of emerging AI trends and lead research initiatives to integrate state-of-the-art AI/ML techniques into Avahi's offerings. - Oversee the evolution of Avahi's open-source SDK for Bedrock adoption and AI-driven platform solutions. - Build and mentor a high-performing AI team, fostering a culture of collaboration, innovation, and technical excellence. Required Skills And Qualifications: - 10+ years of experience in AI/ML, with at least 5 years in leadership roles. - Deep technical expertise in AWS AI/ML services, including Bedrock, SageMaker, Comprehend, Transcribe, and Textract. - Strong background in GenAI, LLMs, prompt engineering, and responsible AI practices. - Experience in AI solution architecture, MLOps, and scalable AI deployments. - Proven track record of delivering AI-powered business impact at scale. - Ability to engage with C-level executives and translate AI capabilities into real business value. - Passion for mentorship, team-building, and fostering an innovative AI culture. - Prior experience working at AWS or as an AWS Partner is highly preferred. - Experience leading open-source AI initiatives or contributing to AI/ML communities. - Background in AI product development and AI-driven SaaS solutions. If you are passionate about AI and want to shape the future of AI consultancy at Avahi, we encourage you to apply now and lead the AI revolution. Avahi offers remote-first flexibility, an innovative culture, career development opportunities, and a purpose-driven mission dedicated to diversity and sustainability. Join Avahi and make an impact in a fast-paced, customer-focused environment with abundant opportunities for growth. Avahi is committed to fostering a workplace that celebrates diversity and inclusivity, welcoming applicants from all backgrounds and experiences.,

Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices. **Team and Position Summary:** This role is on our Marketplace Seller Acquisition and Onboarding team where we own the Marketplace Engineering team is at the forefront of building core platforms and services to enable Walmart to deliver vast selection at competitive prices and with best-in-class seller onboarding experience by enabling third-party sellers to list, sell and manage their products to our customers on walmart.com. We do this by managing the entire seller lifecycle, monitoring customer experience, and delivering high-value insights to our sellers to help them plan their assortment, price, inventory. The team also actively collaborates with partner platform teams to ensure we continue to deliver the best experience to our sellers and our customers. This role will be focused on the Marketplace. **Position Responsibilities:** You want a challenge Come join a team that is merging digital and physical, building real-time systems at scale, responding quicker to changes. You'll sweep us off our feet if you: - Act as the Senior Software Engineer for the team, taking ownership of technical projects and solutions. - Lead by example, setting technical standards and driving overall technical architecture and design. - Mentor junior developers, enhancing their skills and understanding of Android development. - Desire to keep up with technology trends. - Encouraging others to grow and be curious. - Provide technical leadership in every stage of the development process, from design to deployment, ensuring adherence to best practices. - Have the desire to learn. - Maintain and improve application performance, compatibility, and responsiveness across various devices and Android versions. - Drive for engineering and operational excellence, delivering high-quality solutions and processes. **You'll make an impact by:** As a Senior Software Engineer for Walmart, you'll have the opportunity to Apply and/or develop CRM solutions to develop efficient and scalable models at Walmart scale. Through this role, you have an opportunity to develop intuitive software that meets and exceeds the needs of the customer and the company. You also get to collaborate with team members to develop best practices and requirements for the software. In this role, it would be important for you to professionally maintain all codes and create updates regularly to address the customers and company's concerns. You will show your skills in analyzing and testing programs/products before formal launch to ensure flawless performance. Troubleshooting coding problems quickly and efficiently will offer you a chance to grow your skills in a high-pace, high-impact environment. Software security is of prime importance and by developing programs that monitor sharing of private information, you will be able to add tremendous credibility to your work. You will also be required to seek ways to improve the software and its effectiveness. Adhere to Company policies, procedures, mission, values, and standards of ethics and integrity. **Position Requirements:** **Preferred skills:** Agentforce, Salesforce-managed models Gen AI, LLMs **Minimum qualifications:** - 3-5 years of Software Engineer experience with Salesforce.com platform knowledge and good to have knowledge on Salesforce-managed models Gen AI, LLMs - Proven working experience as a CRM Data Engineer with a minimum of 3 years in the field. - Strong programming skills in Scala and experience with Spark for data processing and analytics. - Familiarity with Google Cloud Platform (GCP) services such as Big Query, GCS, Dataproc, Pub/Sub, etc. - Experience with data modeling, data integration, and ETL processes. - Excellent working experience in Salesforce with Apex, Visual Force, Lightning, and Force.com. - Strong Knowledge of Sales cloud, Service cloud, experience cloud (community cloud). - Experience in Application customization and development, including Lightning pages, Lightning Web Components, Aura Components, Apex (classes and triggers). - Experience in integration of Salesforce with other systems using Salesforce APIs, SOAP, Rest API etc. - Proficient with Microsoft Visual Studio, Salesforce Lightning Design System, and the Salesforce development lifecycle. - Knowledge of Tools such as Data-Loader, ANT, Workbench, GIT, Bit-Bucket Version Control. - Knowledge of deployment activities (CI/CD) between the Salesforce environments. - Knowledge of high-quality professional software engineering practices for agile software development cycle, including coding standards, code reviews, source control management, build processes, testing, and deployment. - Fundamental knowledge of design patterns. - Experience in communicating effectively with users, other technical teams, and management to collect requirements, describe software product features, and technical designs. - Mentoring the team members to meet the clients" needs and holding them accountable for high standards of delivery. - Being able to understand and relate technology integration scenarios and be able to apply these learnings in complex troubleshooting scenarios. **RESPONSIBILITIES:** - Writing and reviewing great quality code. - Understanding functional requirements thoroughly and analyzing the clients" needs in the context of the project. - Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns, and frameworks to realize it. - Determining and implementing design methodologies and tool sets. - Enabling application development by coordinating requirements, schedules, and activities. - Being able to lead/support UAT and production rollouts. - Creating, understanding, and validating WBS and estimated effort for a given module/task, and being able to justify it. - Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement. - Giving constructive feedback to the team members and setting clear expectations. - Helping the team in troubleshooting and resolving complex bugs. - Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken. - Carrying out POCs to make sure that suggested design/technologies meet the requirements. **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 experts, 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. **Equal Opportunity Employer:** Walmart, Inc. is an Equal Opportunity 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 respectful of all people.,

We are seeking a results-driven and technically skilled Senior Python Developer with deep expertise in Data Science, Artificial Intelligence (AI), and Machine Learning (ML). The ideal candidate will possess strong analytical and problem-solving abilities, solid programming experience, especially in Python and Django, and proven experience in leading teams and interacting with clients. As a Senior Developer, you will be responsible for building and deploying advanced machine learning models, guiding project teams, and translating complex business challenges into data-driven solutions. Your ability to communicate insights clearly and work collaboratively with cross-functional stakeholders will be key to success in this role. Hands-on experience in data science, AI/ML model development, and deployment is required. Proficiency in Python for data analysis, ML, and back-end development is essential. Experience working with the Django framework and integrating ML models with web applications is a must. Strong command over machine learning libraries such as scikit-learn, TensorFlow, PyTorch, Keras, etc., is expected. Expertise in data wrangling, statistical analysis, feature engineering, and model tuning is necessary. Experience with REST APIs, SQL/NoSQL databases, and cloud platforms (AWS, GCP, or Azure) is preferred. Proven experience in client communication, requirement gathering, and project delivery is vital. Ability to lead teams, delegate tasks, and review deliverables for quality and consistency is a key requirement. Familiarity with version control systems like Git and deployment tools (Docker, CI/CD pipelines) is beneficial. Knowledge of ChatGPT or other LLMs is a plus. Familiarity with big data tools such as Spark, Hadoop, or Kafka is advantageous. Prior exposure to MLOps practices and tools is a bonus. Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders, are essential. Responsibilities include developing and delivering projects for Python and AI/ML, leading the design, development, and deployment of AI/ML models, collaborating with cross-functional teams, applying statistical modeling, machine learning, deep learning, and NLP techniques, translating business requirements into analytical solutions, building and maintaining scalable data pipelines, overseeing project lifecycles, mentoring junior data scientists and engineers, leading client interactions, staying updated with the latest advancements in AI/ML, and ensuring quality control and compliance in all deployed models and services. The ideal candidate should have a minimum of 6 years of experience in a relevant field. Any Graduate/ B.Tech, B.Sc, M.Sc, BCA, MCA, etc., are eligible for this position. The location of the job is in Phase 8, Mohali, and it is a full-time position. The job type is in-person, with day shift schedule. Benefits include Provident Fund.,

As an AI Research Scientist at Cognizant, you will be joining the Advanced AI R&D lab team in Bangalore, India. You will collaborate with the research team to develop innovative solutions to complex scientific challenges using technologies like LLMs, evolutionary algorithms, and other AI techniques. Your focus will be on advancing Generative AI, LLMs, and domain-specific AI solutions to push the boundaries of AI technology. Your responsibilities will include conducting advanced research in AI/ML and Generative AI to address significant business and societal issues, designing and optimizing models with unique architecture and training methods, and publishing research findings in top-tier journals and conferences such as IEEE. You will work closely with product teams, AI engineers, domain experts, and clients to translate research into practical solutions, contribute to open-source communities, and mentor junior researchers and engineers. To qualify for this role, you should hold a PhD in Computer Science or a related technical field, with exceptional candidates holding a bachelor's or master's degree also considered. The ideal candidate will have hands-on experience with LLMs, at least 2 years of experience with multi-agent systems, 5+ years of AI or ML research experience, and a strong publication record in reputable conferences and journals. Additionally, you should possess strong implementation, development, and debugging skills in Python, familiarity with AI frameworks like PyTorch and TensorFlow, excellent problem-solving abilities, attention to detail, and effective communication skills.,

As a Backend Development Engineer at Shoshin Tech, you will play a key role in building and maintaining the backend logic of AI-driven web applications. Your primary responsibility will be to develop scalable infrastructure for large language models (LLMs), agents, and AI workflows. Your expertise in Python, LangChain, LangGraph, and server-side logic will be crucial in creating robust and intelligent backend systems. You will collaborate with front-end developers and UI/UX designers to integrate AI-driven backend logic with the user interface. Additionally, you will be responsible for developing and managing APIs and microservices using Python, FastAPI, or Flask, as well as designing, implementing, and optimizing workflows leveraging various AI frameworks. Your role will involve building and deploying scalable AI agents and workflows using LLMs, integrating AI models, fine-tuning them, and optimizing their performance. You will also develop and maintain vector databases and retrieval-augmented generation (RAG) pipelines to enhance AI responses. Furthermore, you will implement robust security measures, authentication, and data protection for AI applications, optimize application performance to ensure minimal latency in AI-driven workflows, and work with cloud platforms for model deployment and scalable infrastructure management. You will also mentor junior developers, stay updated with emerging trends in AI and backend development, and collaborate with the product team to translate business requirements into technical solutions. To be successful in this role, you should have a Bachelor's degree or higher in Computer Science or related field, a minimum of 2 years of experience as a Backend Developer, proficiency in Python and frameworks such as FastAPI, Flask, or Django, and familiarity with embeddings, LLMs, and vector databases. Strong problem-solving skills, experience in a startup environment, and excellent communication skills are also essential. At Shoshin Tech, we offer a supportive and flexible workplace that promotes work-life balance, autonomy to explore your ideas, and an inclusive environment that values diversity. You will have the opportunity for cross-functional exposure, engaging social events, and collaboration with a problem-solving team dedicated to creating innovative solutions. If you are passionate about cutting-edge technology, have an entrepreneurial spirit, and a commitment to promoting well-being, Shoshin Tech is the place for you. We are an Equal Opportunity Employer dedicated to creating an inclusive environment for all individuals. Join us at Shoshin Tech and be part of a high-performance team that is enthusiastic about operational excellence and transforming the future of work.,

At PwC, your role in data and analytics engineering will involve leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. As part of the data science and machine learning engineering team at PwC, you will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. As an Associate at PwC, you are expected to have a minimum of 1.8 to 3 years of experience. In this role, you will have the opportunity to work on building analytics products/accelerators using a variety of big data technologies and analytics tools as required by stakeholders. You will be responsible for creating robust documentation of solutions, underlying design decisions, and operating procedures. Working on several large-scale datasets, you will drive the analytics path to align with the overall project objective and develop and execute analytical module development on PwC's big data platform. You will be required to engage effectively with both internal and external stakeholders to understand requirements and translate them into analytical solutions. The role entails meeting tight deadlines, managing multiple competing priorities, and working independently to navigate through ambiguous requirements. You will also be responsible for managing the continuous improvement of data science and machine learning by following industry best practices. Staying abreast of new AI research and experimenting with code will be essential in this role. Working in sprint cycles, you will develop proof-of-concepts and prototype models that can be demoed and explained to data scientists, internal stakeholders, and clients. You will need to understand and implement ETL pipelines, data ingestion & transformation to populate data models. Effective communication, asking relevant questions, and driving conversations will be key aspects of this role. Coming up with better and new perspectives for different analytical solutions will also be expected from you. In terms of skills, strong analytical thinking skills, hands-on experience in Python, excellent communication skills, self-driven and results-oriented attitude, and knowledge of using LLMs and Prompt Engineering are must-haves for this role. Experience in Pyspark, ML frameworks, and PowerBI would be considered good-to-have skills.,

Reach Education Pvt. Ltd. is an educational services firm based in Mumbai, India. We are a premium higher education advisory firm founded by HBS (MBA&apos2010) and CMU (Tepper&apos2003) alum Vibha Kagzi and focus on the higher education space in India. ReachIvy (www.reachivy.com) is focused on counselling students targeting top-tier schools internationally.?? We are seeking a highly skilled AI/ML Engineer to join our team and drive the development of an AI-powered, voice-first product . The ideal candidate will combine strong machine learning expertise with hands-on experience in building and integrating voice, speech, and natural language technologies using both open-source and commercial AI tools. This role requires someone who thrives in fast-paced, product-driven environments, can work collaboratively across teams, and has the creativity to harness the latest AI advancements to deliver cutting-edge user experiences. Key Responsibilities: Voice AI Development: Build, train, and fine-tune models for speech-to-text (ASR), text-to-speech (TTS), speaker recognition, and conversational AI. System Architecture: Design and implement end-to-end AI pipelines covering model training, testing, deployment, and monitoring. Tooling & Integration: Leverage both open-source (Whisper, Hugging Face, VLLM, etc.) and commercial APIs (OpenAI, ElevenLabs, etc.) to accelerate development. Collaboration: Work closely with product managers, designers, and engineers to bring AI-driven voice experiences into production at scale. Experimentation & Innovation: Continuously research and evaluate state-of-the-art models, frameworks, and tools to maintain a competitive edge. Deployment: Own deployment workflows in cloud and containerized environments ensuring scalability, reliability, and cost efficiency. MLOps: Build workflows for continuous training, monitoring, and improvement of deployed AI systems. Requirements: Must-Have Bachelors/Masters in Computer Science, Data Science, AI/ML, or related field. 36 years of experience in AI/ML engineering with a focus on speech or NLP applications . Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face). Strong understanding of deep learning architectures (transformers, RNNs, CNNs) and optimization techniques. Experience in deploying models in cloud and containerized environments (Docker, AWS/GCP/Azure). Solid grasp of algorithms, data structures, and system design . Nice-to-Have Hands-on experience with speech-to-text (ASR) , text-to-speech (TTS) , or voice biometrics . Familiarity with LLMs and conversational AI frameworks. Frontend and backend development exposure (React, Next.js, Node.js, FastAPI, etc.) to collaborate closely with product teams. Experience with databases (SQL, NoSQL, vector databases, PostgreSQL). Startup or fast-paced product-building experience. Why Join Us Build a cutting-edge, voice-first AI product from the ground up. Freedom to experiment with the best AI tools availablefree or paid . Collaborate with a passionate, cross-functional team building next-gen AI solutions. Opportunity to shape the AI/ML roadmap and drive innovation at scale. Show more Show less

Company Description Heaps is one of the fastest growing health tech start-ups in India today. With more than 5 million patient interactions till date, Heaps is revolutionising how insurers, doctors and patients experience health care. We are building an AI driven end-to-end care management platform which coordinates, tracks and monitors the health of the patient empowering them with the right information to take right decisions at the right time about their health. Heaps is backed by marquee investors - titans in the healthcare industry who have invested more than $7.4 million in Series A funding. Heaps is on a path for global scaling, weve already expanded in 5 countries across the globe. Role Description Are you an AI engineer with a strong technical background and a passion for solving complex real-world problems At HEAPS, our AI team drives innovation by developing and integrating advanced machine learning and Large Language Models (LLMs) into healthcare products. We are seeking skilled AI Engineers to lead end-to-end AI initiativesdesigning, fine-tuning, and deploying models that extract actionable insights from healthcare data. Your work will directly support insurance and hospital clients worldwide in improving patient care and operational outcomes through scalable AI solutions. Responsibilities Design, develop, and integrate Large Language Models (LLMs) into our healthcare product suite Build and optimize AI/ML pipelines for healthcare applications Lead use case development and machine learning initiatives that extract actionable insights from complex healthcare data Collaborate with cross-functional teams to implement AI-driven features that enhance patient care Translate complex data and model outputs into clear, impactful recommendations for stakeholders Fine-tune and deploy models for healthcare-specific use cases Ensure AI solutions meet healthcare compliance and security standards Research and apply state-of-the-art AI techniques to solve challenging healthcare problems Skills: 2-3 years of hands-on experience in AI/ML engineering Strong proficiency in Python, TensorFlow/PyTorch, and ML frameworks Experience with LLMs (GPT, BERT, LLaMA, etc.) and NLP techniques Proven ability to solve complex problems with AI and communicate results crisply. Knowledge of cloud platforms (AWS/Azure/GCP) and MLOps Show more Show less

Requirements 45 years of experience as an ML Engineer or Applied Scientist in production Strong Python skills (FastAPI/Flask), with PyTorch or TensorFlow Proficient in building data pipelines and deploying ML systems Experience with LLMs, embeddings, RAG systems, and vector DBs (PGVector/Postgres preferred) Hands-on with multiple LLM providers (OpenAI, Anthropic, Google, open-source) Knowledge of containerization and deployment (Docker, Kubernetes, AWS/GCP, CI/CD) Bonus: Familiarity with LangGraph/LangChain, vLLM, Ray, LLM eval tools, or event-driven systems Responsibilities Build and scale ML pipelines for Novas AI teammates Implement agentic AI workflows with LLMs and orchestration frameworks Design and optimize RAG pipelines for performance and accuracy Build connectors to integrate AI with external systems Fine-tune models for domains like finance, legal, and tax Monitor model performance, optimize for cost, latency, and reliability Lead best practices for scalable, production-grade ML Job Details Location: Mulund, Mumbai Interview process Round 1: Technical screening Round 2: ML System Design Round 3: Coding and Hands-on Evaluation Round 4: Cultural Fit and Founder Discussion Show more Show less

Job Title: GenAI Developer Experience: 3-8 Years Location: Pune / Nagpur (Hybrid) Employment Type: Full-time About Company Data-Engine works with clients to architect and deploy solutions in GenAI, IoT and ML. Our teams have designed systems that power connected devices, enable edge intelligence and deliver AI-driven applications that solve concrete business problems both in India and overseas. Our focus is to work with clients to translate complex problems into engineered systems that deliver measurable outcomes and accelerate time-to-market. Role Overview We are seeking a highly skilled GenAI / AI-ML Developer with 3-8 years of experience in designing and implementing AI-driven solutions. The ideal candidate will have strong expertise in Python, machine learning, deep learning, and GenAI technologies, with hands-on experience in building and deploying scalable AI systems. Key Responsibilities Design, build, and deploy GenAI applications using LLMs, prompt engineering, and RAG frameworks. Work on prompt engineering, LLM fine-tuning, and deployment workflows. Implement AI-driven solutions for analyzing, understanding, and migrating legacy codebases. Integrate APIs such as OpenAI, Claude, Azure OpenAI, etc., into products or tools. Develop reusable components for embeddings, vector search, and prompt handling. Research and stay current with latest AI/ML trends, frameworks, and tools. Collaborate with cross-functional teams to deliver high-impact solutions. Required Skills & Qualifications Strong Python programming skills. Deep understanding of machine learning and deep learning algorithms. Proficiency in Natural Language Processing (NLP). Expertise in data handling, preprocessing, and data engineering. Knowledge of AI frameworks and libraries (TensorFlow, PyTorch, Hugging Face, etc.). Experience in model deployment, scaling, and optimization. Hands-on experience with GenAI tools (RAG, LLMs, embeddings, vector DBs). Strong problem-solving and analytical abilities. Preferred Skills Experience working with large-scale AI systems in production. Familiarity with cloud services (AWS, Azure, GCP) for AI/ML workloads. Prior experience in Agile/Scrum environments.

Data Science Engineer, AS Position Overview Job Title- Data Science Engineer, AS Location- Bangalore, India Role Description We are seeking a Data Science Engineer to contribute to the development of intelligent, autonomous AI systems The ideal candidate will have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves deploying AI solutions that leverage Retrieval-Augmented Generation (RAG) Multi-agent frameworks Hybrid search techniques to enhance enterprise applications. What we'll offer you As part of our flexible scheme, here are just some of the benefits that you'll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Design & Develop Agentic AI Applications:Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language Models:Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. NER Models: Train OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge Graphs: Construct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-Functionally:Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimise AI Workflows:Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your skills and experience 4+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. Hands-on experience with vector databases and embedding techniques. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: We strive for a in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

As an NLP Engineer at Tiger Analytics, you will have the opportunity to work on cutting-edge AI and analytics projects to help Fortune 1000 companies overcome their toughest challenges. You will be part of a global team of technologists and consultants dedicated to empowering businesses to achieve real outcomes and value at scale. Your role will involve collaborating with experienced team members on internal product development and client-focused projects, with a focus on the pharma domain. You will play a key role in designing, developing, and deploying GenAI solutions, with a particular emphasis on addressing challenges like hallucinations, bias, and latency. Your day-to-day responsibilities will include supporting the full lifecycle of AI project delivery, fine-tuning Large Language Models (LLMs) for specific business needs, and developing scalable pipelines for AI model deployment. You will also have the opportunity to collaborate with internal teams and external stakeholders, particularly in the pharma space, to understand business requirements and contribute to the development of tailored AI-powered systems. Additionally, you will actively participate in a collaborative environment, sharing ideas and working as part of a dynamic team of data scientists and AI engineers. To be successful in this role, you should have 7-9 years of experience in NLP, AI/ML, or data science, with a proven track record of delivering production-grade NLP & GenAI solutions. You should have deep expertise in LLMs, transformer architectures, and fine-tuning techniques, as well as strong knowledge of NLP pipelines, text preprocessing, embeddings, and named entity recognition. Experience with Agentic AI systems, LLM observability tools, and AI safety guardrails is also essential. Proficiency in Python and backend development, familiarity with MLOps and cloud platforms, and prior experience in regulated industries like life sciences or pharma are all advantageous. A problem-solving mindset, the ability to work independently, drive innovation, and mentor junior engineers are key qualities we are looking for in candidates. The compensation package for this role will be commensurate with your expertise and experience, and you will also have access to additional benefits such as health insurance, a virtual wellness platform, and knowledge communities.,

As an Artificial Intelligence Developer/AI Developer at APPWRK IT Solutions Pvt. Ltd., you will be part of a team dedicated to delivering high-quality solutions tailored to our clients" needs. Located in Mohali, our company has a strong global presence and is well-known for collaborating with Fortune 500 clients like Unilever. You will play a key role in developing, training, validating, and deploying AI/ML models for real-world use cases. Collaborating with cross-functional teams, you will define and implement end-to-end AI systems. Additionally, you will design and maintain scalable APIs and microservices, as well as build user-friendly front-end interfaces to support AI-powered applications. It is essential to write clean, maintainable, and testable code for both client-side and server-side components. As part of your responsibilities, you will implement MLOps practices, conduct performance tuning, A/B testing, and continuously evaluate models for improvement. Staying updated with the latest technologies and best practices in AI and software engineering is crucial for this role. The ideal candidate should possess a Bachelor's/Master's degree in Computer Science, Artificial Intelligence, or related fields, with at least 1-5 years of experience in AI/ML development using Python, TensorFlow, PyTorch, or similar technologies. Strong understanding of data structures, algorithms, machine learning concepts, and model evaluation is required. Proficiency in backend frameworks like Django, Flask, or FastAPI, along with solid front-end development skills using React, Angular, or Vue.js is preferred. Experience with RESTful APIs, GraphQL, containerization (Docker/Kubernetes), cloud platforms (AWS, GCP, Azure), databases (SQL and NoSQL), and version control (Git) is necessary. Knowledge of AI deployment pipelines, model serving, and monitoring tools is also essential. Preferred skills include experience with LLMs, knowledge of data annotation tools, NLP, Computer Vision, exposure to CI/CD pipelines, MLOps tools, and contributions to open-source projects or AI hackathons. Soft skills such as problem-solving, analytical abilities, communication, collaboration, and the ability to deliver in a fast-paced environment are highly valued. If you are a motivated developer with a passion for AI and looking for a rewarding opportunity, apply now to join our growing team at APPWRK IT Solutions Pvt. Ltd. This is a full-time position with benefits including health insurance and provident fund. The work schedule is day shift, Monday to Friday, and the job requires in-person work in Mohali, Punjab. Application Question: How many years of work experience do you have in AI/ML Development ,