11 Palm Jobs

You will be working as a Sr AI Architect at Wipro Limited, a leading technology services and consulting company known for building innovative solutions to meet clients" complex digital transformation needs. In this role, your responsibilities will include designing solutions and implementing generative AI models and algorithms using cutting-edge techniques like GPT, VAE, and GANs. You will also be expected to architect products/solutions using cloud services from Azure, GCP, and AWS, and integrate cloud GenAI algorithms such as ChatGPT, Bedrock, Bard, PaLM, etc. Collaboration with cross-functional teams to define AI project requirements and objectives in alignment with overall business goals will be a key aspect of your role. You will need to stay updated on the latest advancements in generative AI, machine learning, and deep learning techniques, identifying opportunities to incorporate them into products and services. Optimizing existing generative AI models for enhanced performance, scalability, and efficiency will also be part of your responsibilities. Additionally, you will be responsible for developing and maintaining AI pipelines, including tasks like data preprocessing, feature extraction, model training, and evaluation. Driving the team to build GenAI products/solutions and having experience working in Agile methodology are essential requirements for this role. At Wipro, we are on a journey to reinvent our business and industry. We are looking for individuals who are inspired by reinvention, eager to evolve themselves, their careers, and their skills. If you are someone who thrives on constant change and growth, Wipro offers you the opportunity to be part of a purpose-driven business that encourages you to design your own reinvention. Join us at Wipro to realize your ambitions and be part of a workplace that welcomes applications from individuals with disabilities.,

We are looking for a ML Engineer /Senior ML Engineer with hands-on experience in Generative AI (GenAI) to drive innovation through cutting-edge AI/ML solutions. This role involves designing and implementing GenAI models and pipelines that solve business problems and enhance productivity. You will collaborate with cross-functional teams to deliver solutions using large language models (LLMs), transformers, and other generative techniques. Key Responsibilities: Develop and fine-tune Generative AI models using LLMs (e.g., GPT, LLaMA, Claude, PaLM) for tasks like summarization, content generation,question answering, semantic search, etc. Build end-to-end GenAI-powered solutions including prompt engineering, model training/fine-tuning, evaluation, and deployment. Use frameworks like LangChain, LlamaIndex, and vector databases (e.g.,FAISS, Pinecone, Weaviate) to build RAG (Retrieval-Augmented Generation) pipelines. Collaborate with product, engineering, and business stakeholders to identify AI opportunities and prototype solutions. Conduct experiments, evaluate model performance, and optimize for accuracy, latency, and relevance. Contribute to the development of GenAI best practices and reusable assets within the organization. Stay up to date with the latest research and developments in the GenAI and LLM space. Required Skills and Experience: 2+ years of experience in ML/AI roles, with 2+ focus on GenAI or LLMs. Strong Python skills and experience with transformers, Hugging Face, PyTorch, or TensorFlow. Deep understanding of NLP, language modeling, and generative techniques. Experience with prompt engineering, fine-tuning or few-shot learning. Hands-on experience with LangChain, LlamaIndex, vllm or similar GenAI orchestration frameworks. Working knowledge of vector stores, embedding models, and retrieval techniques. Experience with model deployment in cloud or hybrid environments (e.g., Azure, AWS, GCP). Familiarity with MLOps tools and best practices is a plus.

As an AI Architect at Wipro Limited, you will be responsible for designing solutions and implementing generative AI models and algorithms using cutting-edge techniques such as GPT, VAE, and GANs. You will work on integrating cloud services from Azure, GCP, and AWS and collaborate with cross-functional teams to define AI project requirements aligned with overall business goals. Your role will involve researching the latest advancements in generative AI, machine learning, and deep learning techniques to optimize existing models for enhanced performance, scalability, and efficiency. You will also be developing and maintaining AI pipelines, including data preprocessing, model training, and evaluation. To succeed in this role, you should have a minimum of 6 years of experience in architecting AI ML applications, with at least one year focused on Generative AI. Proficiency in Python and experience with machine learning libraries like TensorFlow, PyTorch, or Keras is essential. Familiarity with cloud-based platforms such as AWS, GCP, or Azure, as well as natural language processing (NLP) tools like SpaCy, NLTK, or Hugging Face, will be beneficial. In addition to your technical skills, you will be expected to develop architectural solutions for new deals and major change requests, create enterprise-wide architectures, and provide technical leadership in the design and implementation of custom solutions. Your responsibilities will also include enabling delivery teams by offering optimal delivery solutions, managing projects, identifying risks, and ensuring quality assurance. Furthermore, you will be involved in competency building and branding by completing necessary trainings, developing proof of concepts, and presenting Wipro's point of view on solution design through white papers and blogs. Team management will also be a key aspect of your role, including resourcing, talent management, performance management, and employee satisfaction and engagement. Join Wipro Limited to be part of a modern digital transformation partner with bold ambitions. We value individuals who are inspired by reinvention and are committed to continuous evolution and growth. Come to Wipro and realize your ambitions in a purpose-driven environment that empowers you to design your own reinvention. Applications from people with disabilities are warmly encouraged.,

We're Hiring: Head Trading (Edible Oils) Location: Mumbai, India Reports To: CEO Consumer Division (India) | Matrix to CEO Trading (Singapore) Industry: Edible Oils | Commodities Experience: 15+ years in international trading and procurement of edible oils or agri-commodities Are you a strategic trading leader with global market experience in edible oils or agri-commodities? This is your opportunity to lead international procurement and price-risk management for one of India's leading consumer businesses. Key Responsibilities Lead global sourcing from Indonesia, Malaysia, Argentina, Ukraine & more Manage relationships with international producers, brokers & trading houses Drive trading strategy, price forecasting & risk mitigation (BMD, CBOT, etc.) Coordinate logistics, port clearances & supply chain flow Ensure compliance with DGFT, FSSAI & trade regulations Own P&L for the trading vertical maximize cost efficiency & margins Lead and mentor a team of traders & analysts What You Bring MBA/PGDM in International Business, Supply Chain or similar 15+ years of hands-on experience in international trading & procurement Strong global network across Southeast Asia, South America, Black Sea region Deep knowledge of commodity markets, hedging, forex, and trade finance Proven leadership, strategic thinking, and negotiation skills Interested? Lets Talk. Send your updated CV to chinmaya@topgearconsultants.com with the following details: Current Location Preferred Location Highest Qualification Total Years of Experience Current Salary Expected Salary Notice Period Thanks & Regards, Chinmaya I HR Associate I www.topgearconsultants.com https://www.linkedin.com/in/chinmaya-ambre-9582572bb

NTT DATA is seeking a Digital Engineering Lead Engineer to join the team in Pune, Mahrshtra (IN-MH), India. As a part of the team, you will exercise expertise in developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. You will apply statistical skills and advanced statistical techniques, demonstrating deep knowledge of ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. In this role, you will leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. You should have deep knowledge in statistics, Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks like Langchain and LlamaIndex, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS, Milvus, etc.) is essential. Proficiency in programming languages such as Python and understanding of various Python packages is required. You will develop and implement GenAI solutions, collaborating with cross-functional teams to support the successful execution of AI projects for a diverse range of clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. The ideal candidate should have a minimum of 2+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions. Furthermore, 5+ year(s) of experience participating in projects focusing on predictive analytics, data design, generative AI, AI/ML, and ML Ops is preferred. A minimum of 3 years of experience using Python is required, along with the ability to travel at least 25% and a Bachelor's Degree. NTT DATA is a trusted global innovator of business and technology services committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries, with services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. Join us on our journey to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com.,

As an AI/ML Engineer, you will be responsible for identifying, defining, and delivering AI/ML and GenAI use cases in collaboration with business and technical stakeholders. Your role will involve designing, developing, and deploying models using Google Cloud's Vertex AI platform. You will be tasked with fine-tuning and evaluating Large Language Models (LLMs) for domain-specific applications and ensuring responsible AI practices and governance in solution delivery. Collaboration with data engineers and architects is essential to ensure robust and scalable pipelines. It will be your responsibility to document workflows and experiments for reproducibility and handover readiness. Your expertise in supervised, unsupervised, and reinforcement learning will be applied to develop solutions using Vertex AI features including AutoML, Pipelines, Model Registry, and Generative AI Studio. In this role, you will work on GenAI workflows, which includes prompt engineering, fine-tuning, and model evaluation. Proficiency in Python is required for developing in ML frameworks such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers. Effective communication and collaboration across product, data, and business teams are crucial for the success of the projects. The ideal candidate should have hands-on experience with Vertex AI on GCP for model training, deployment, endpoint management, and MLOps. Practical knowledge of PaLM, Gemini, or other LLMs via Vertex AI or open-source tools is preferred. Proficiency in Python for ML pipeline scripting, data preprocessing, and evaluation is necessary. Expertise in ML/GenAI libraries like scikit-learn, TensorFlow, PyTorch, Hugging Face, and LangChain is expected. Experience with CI/CD for ML, containerization using Docker/Kubernetes, and familiarity with GCP services like BigQuery, Cloud Functions, and Cloud Storage are advantageous. Knowledge of media datasets and real-world ML applications in OTT, DTH, and Web platforms will be beneficial in this role. Qualifications required for this position include a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related fields. The candidate should have at least 3 years of hands-on experience in ML/AI or GenAI projects. Any relevant certifications in ML, GCP, or GenAI technologies are considered a plus.,

You will be joining NTT DATA as a Digital Engineering Lead Engineer based in Pune, Maharashtra (IN-MH), India. In this role, you will be responsible for ideating and developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Utilizing your statistical skills and advanced statistical techniques, you will apply your expertise in ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. It is essential to have a deep understanding of Python open-source software stack, including Django or Flask, Django Rest or FastAPI. Your knowledge in statistics, Machine Learning models, deep learning models, NLP, GAN, and other generative models will be leveraged in this role. Experience with RAG technologies, LLM frameworks, model registries, embedding models, and vector databases is required. You will be expected to demonstrate proficiency in programming languages such as Python and have a strong understanding of various Python packages, along with experience in TensorFlow, PyTorch, or Keras. Collaborating with cross-functional teams, you will develop and implement GenAI solutions, supporting the successful execution of AI projects for various clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. Working on RAG models to enhance AI solutions and maintaining data infrastructure for actionable insights will be part of your responsibilities. Your role will involve collaborating with data science teams, understanding customer requirements, and delivering customized AI solutions. Preferred qualifications include experience in Private AI and Smart Agent Solutions. You should have a minimum of 2+ years of experience architecting high-impact GenAI solutions and 5+ years of experience in projects related to predictive analytics, data design, generative AI, AI/ML, and ML Ops. A Bachelor's Degree is required for this position, along with 3+ years of experience using Python. The ability to travel at least 25% of the time is also necessary. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA provides services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is dedicated to helping clients innovate, optimize, and transform for long-term success, with a commitment to moving confidently and sustainably into the digital future.,

The ideal candidate for this position will be responsible for understanding business problems and formulating analytical solutions. You will apply machine learning, data mining, and text mining techniques to develop scalable solutions for various business challenges. You will also be involved in speech to text translation for Video/Audio NLP Analysis and generative AI application for Market Research data. Additionally, you will solve problems using advanced AI techniques, including GenAI methods, by designing NLP/LLM/GenAI applications/products with robust coding practices. Experience in LLM models like PaLM, GPT4, and Mistral is preferred. You will be expected to train, tune, validate, and monitor predictive models, as well as analyze and extract relevant information from large amounts of historical business data in structured and unstructured formats. Furthermore, you will establish scalable, efficient, automated processes for large-scale data analyses and develop and deploy Data Science models on cloud platforms like GCP, Azure, and AWS. Working with large, complex data sets using tools such as SQL, Google Cloud Services, Hadoop, Alteryx, and Python will be part of your daily responsibilities. Preferred qualifications for this role include 2+ years of experience in market research, data mining, statistical analysis, Gen AI, modeling, deep learning, optimization, or similar analytics. Additionally, having 2+ years of work experience with Python, SQL, and/or visualization/dashboard tools like Tableau, PowerBI, or Qliksense is desired. Comfort with working in an environment where problems are not always well-defined and the ability to effectively advocate technical solutions to various audiences are also important. Candidates with 3-4 years of industry experience and a Bachelor's or Master's degree in a quantitative field such as Statistics, Computer Science, Economics, Mathematics, Data Science, or Operations Research are required for this position. You should have 3+ years of experience using SQL for acquiring and transforming data, as well as experience with real-world data, data cleaning, data collection, or other data wrangling challenges. Knowledge in fundamental text data processing and excellent problem-solving, communication, and data presentation skills are essential. Moreover, you should be flexible to work on multiple projects/domains/tools, possess collaborative skills to work with business teams, and be comfortable coding in Tensorflow and/or Pytorch, Numpy, and Pandas, Scikit-learn. Experience with open-source NLP modules like SpaCy, HuggingFace, TorchText, fastai.text, and others is beneficial. Proven quantitative modeling and statistical analysis skills, along with a proactive and inquisitive attitude towards learning new tools and techniques, are highly valued.,

Role Overview: We are looking for a ML/AI Gen AI Expert with 4-7 years of experience for executing AI/GenAI use cases as POCs . Media domain experience (OTT, DTH, Web) is a plus. Key Responsibilities: Identify, define, and deliver AI/ML and GenAI use cases in collaboration with business and technical stakeholders. Design, develop, and deploy models (ML and GenAI) using Google Clouds Vertex AI platform. Fine-tune and evaluate LLMs for domain-specific applications, ensuring responsible AI practices. Collaborate with data engineers and architects to ensure robust, scalable, and secure data pipelines feeding ML models. Document solutions, workflows, and experiments to support reproducibility, transparency, and handover readiness. Core Skills: Strong foundation in machine learning and deep learning, including supervised, unsupervised, and reinforcement learning. Hands-on experience with Vertex AI, including AutoML, Pipelines, Model Registry, and Generative AI Studio. Experience with LLMs and GenAI workflows, including prompt engineering, tuning, and evaluation. Python and ML frameworks proficiency (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers). Strong collaboration and communication skills to work cross-functionally with data, product, and business teams. Technical Skills: Vertex AI on Google Cloud Model training, deployment, endpoint management, and MLOps tooling. GenAI tools and APIs Hands-on with PaLM, Gemini, or other large language models via Vertex AI or open source. Python Proficient in scripting ML pipelines, data preprocessing, and model evaluation. ML/GenAI Libraries scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain. Cloud & DevOps Experience with GCP services (BigQuery, Cloud Functions, Cloud Storage), CI/CD for ML, and containerization (Docker/Kubernetes) Experience in the media domain (OTT, DTH, Web) and handling large-scale media datasets. Immediate Joiners.

Job Summary: We are seeking a highly skilled and hands-on AI Engineer with 3+ years of proven experience in building and deploying solutions using Generative AI and Large Language Models (LLMs). You will work on cutting-edge applications leveraging transformer-based architectures, fine-tuning, prompt engineering, and scalable AI deployments. This role is ideal for engineers passionate about AI research and real-world productization of generative AI technologies. Key Responsibilities: Design, develop, and deploy solutions using LLMs (e.g., GPT, LLaMA, Mistral, Claude, PaLM, etc.) for various NLP and content generation tasks. Work on fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) pipelines. Integrate LLMs into enterprise applications with APIs and orchestrate workflows using Python, LangChain, or similar frameworks. Optimize model performance, latency, and cost for production use. Collaborate with data scientists, MLOps engineers, and product managers to deliver scalable AI features. Conduct experiments, analyze results, and publish internal findings or contribute to whitepapers. Ensure ethical, secure, and responsible use of AI technologies in all implementations. Required Skills & Experience: 3+ years of hands-on experience working with Generative AI, LLMs, and NLP technologies. Strong programming skills in Python and experience with libraries like Transformers (Hugging Face), LangChain, PyTorch, TensorFlow, etc. Proven track record of fine-tuning LLMs, developing embeddings, and working with vector databases (e.g., FAISS, Pinecone, Weaviate). Experience deploying models on cloud platforms (AWS, Azure, GCP) and using ML pipelines or MLOps tools. Solid understanding of deep learning, NLP architectures, tokenization, and evaluation metrics for generative models. Experience in API development and integration of LLMs into user-facing applications. Preferred Qualifications: Masters or PhD in Computer Science, AI/ML, Data Science, or related field. Experience with OpenAI APIs, Anthropic, Cohere, or open-source LLMs (e.g., Mistral, Falcon, LLaMA 3). Understanding of RLHF (Reinforcement Learning from Human Feedback) and model alignment techniques. Contributions to open-source AI projects or publications in GenAI/LLM.

Should lead key initiatives in GenAI COE on new tech trends, R and D on new product POC Work on proposals, Provide solutions architecture design solution on different business use cases Ability to work across various different GenAI Models and cloud providers Should have a strong experience in implementing projects in Digital Engineering Or Data Analytics Technically lead a team of developers and groom talent Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stack Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java Ability to build API based scalable solutions and debug & troubleshoot software or design issues Hands on exposure to integrating atleast one of the popular LLMs(Open AI GPT, PaLM 2, Dolly, Claude 2, Cohere etc.) using API endpoints. Thorough understanding of prompt engineering; implementation exposure to LLM agents like LangChain & vector databases Pinecone or Chroma or FAISS Basic data engineering skills to load structured & unstructured data from source systems to target data stores. Build and maintain data pipelines and infrastructure to support Hands on exposure to using cloud(Azure/GCP/AWS) services for storage, serverless-logic, search, transcription and chat Extensive experience with data engineering and should be hands on in using Agentic AI Framework, RAG