299 Hugging Face Jobs

Candidate Specifications : 6+ years, Notice Period - Immediate to 30 days Develop and orchestrate AI workflows using LangGraph and LangChain. Design and implement multi-agent systems and tool orchestration for enterprise use cases. Build and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases (Pinecone, Weaviate, ChromaDB, FAISS). Integrate LLMs from OpenAI, Anthropic, Hugging Face, Cohere, or Azure OpenAI. Build backend services and APIs (FastAPI/Flask) for deploying AI-powered applications. Ensure data security, prompt safety, and guardrails for responsible AI deployments. Deploy and monitor applications on cloud platforms (AWS, Azure, GCP). Implement CI/CD pipelines, containerization (Docker/Kubernetes), and observability tools (Langfuse, LangSmith). Collaborate with product, data, and frontend teams to deliver end-to-end GenAI applications. Contact Person - Christopher Email - christopher@gojobs.biz

Role: Middleware & Web Development Engineer Location: Bangalore Experience: 2+ years Employment Type: Full-time Job Description: We are hiring a Middleware & Web Development Engineer skilled in Node.js, Next.js, JavaScript, and TypeScript to design and build backend services, chatbots, and social media automation platforms. The role requires strong experience in REST APIs, microservices, and databases , along with exposure to cloud deployment and modern best practices. Key Responsibilities Develop and maintain backend services using Node.js / TypeScript . Build and optimize RESTful APIs for integration with frontend and third-party systems. Architect and develop scalable microservices (Express.js). Ensure application performance, scalability, and security . Implement authentication & authorization (OAuth, JWT). Work on SQL (PostgreSQL/MySQL) and NoSQL (Firestore) databases. Deploy and manage applications on Google Cloud Platform (GCP) . Required Skills Strong proficiency in Node.js, Next.js, JavaScript, TypeScript . Experience with Express.js, REST API development, microservices, and serverless functions . Database knowledge: PostgreSQL / MySQL / NoSQL / GraphQL . Hands-on with Swagger/OpenAPI for API documentation. Exposure to LLMs (Hugging Face / OpenAI / Gemini). Interested candidates kindly share your details to amruthaj@titan.co.in

Strong background in GPU architecture (NVIDIA, AMD) and HPC systems. Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Keras, MXNet, Hugging Face).Experience with distributed training and orchestration frameworks (KubeFlow, MLflow, Ray, Horovod). Required Candidate profile Knowledge of parallel computing, MPI, CUDA, ROCm, and GPU drivers.Familiarity with storage technologies for HPC/AI (NVMe, Lustre, GPFS, Ceph, Object Storage).

Job Title: Principal Data Scientist Location: Noida Employment Type: Full-time Responsibilities: Convert broad vision and concepts into a structured data science roadmap and guide a team to successfully execute on it Collaborate with AI Product managers, UI/UX, stakeholders, etc. to design, develop, and deploy AI/LLM models Good in fine-tuning, and optimization of LLMs like Open AI, Gemini AI, Copilot, and open-source models like LLAMA, DeepSeek, and BERT Hands-on experience in Prompt Engineering and RAG for real-world applications Develop Conversational AI, ChatBots, VoiceBots using modern NLP frameworks like SpaCy, Rasa, LangChain, Hugging Face Use vector databases like Pinecone, Vertex AI, ChromaDB, or SingleStore to manage embeddings at scale Deploy and monitor models on cloud platforms like Azure and GCP Lead client engagements, RFP responses generation, and PoC development for both internal and external stakeholders Provide technical guidance, code reviews, and performance optimization support Expertise in designing solutions using semantic search and vector embeddings Translate high-level business goals into measurable, AI-powered deliverables Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Contribute to internal product development initiatives related to data science. Drive excellent project management skills required to deliver complex projects, including effort/time estimation Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy Qualifications: A B.Tech / M.Tech / MBA from a top tier Institute preferably in a quantitative subject 10+ years of hands-on experience in applied Machine Learning, AI and analytics Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) Expertise in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. Strong expertise in Machine Learning, Deep Learning, Data mining, and Statistical concepts and experience in developing models and solutions in these areas Expertise in client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. Strong publication record in top-tier journals and conferences. Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Experience developing software in traditional programming languages (C++, Java, etc..). Excellent written and spoken communication skills About Us E-Solutions is a leading AI consulting firm delivering cutting-edge solutions across recruitment & staffing, IT services, finance, retail, education, and manufacturing. We specialize in building advanced AI/ML products including large-scale recommender systems, LLM-based chatbots, AI-powered resume engines, GenAI copilots, and enterprise-wide automation systems. As part of our growing AI leadership team, we are looking for a Principal Data Scientist who can architect, lead, and implement end-to-end AI/ML solutions using the latest in Generative AI, LLMs, Vector Databases, and NLP frameworks. Reimagine the Future of IT Consulting & Development with ML, GenAI, & Agentic AI At E-Solutions, we empower global businesses by enhancing their IT infrastructure and software capabilities. Over two decades, weve grown into a trusted global partner, operating in 35+ countries with a team of 5,000+ professionals. Our expertise in Managed IT Services and Software Product Engineering, combined with robust testing, cloud solutions and AI/ML/Gen AI in NLP & Computer Vision domains ensures that the enterprise thrives in a competitive digital landscape. E-Solutions has achieved significant success in implementing ML/GenAI/Agentic AI projects like AI enabled matching of professionals profiles based on customer requirements, Agentic AI based end-to-end recruitment platform which will process & summarize customer requirements and AI agent will conduct online interviews and have efficient assessment to retrieve relevant profiles, Conversational AI Engine, Detecting Suspicious Behaviour during interviews etc. Simultaneously, the company successfully executed mergers and acquisitions, driving significant growth and expansion and embarking on a transformative digital journey. Join us to be the part of this innovative journey to build cutting-edge advance Agentic AI platform to deliver AI/ML/GenAI use cases across industries. Show more Show less

Job Title: Lead Data Scientist Location: Noida Employment Type: Full-time Responsibilities: Lead and manage a team of data scientists, providing guidance, mentorship, and technical expertise Collaborate with stakeholders to understand business objectives and develop data science strategies aligned with those objectives Design, develop, and implement advanced machine learning and statistical models to solve complex business problems. Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. Good in fine-tuning, and optimization of LLMs like Open AI, Gemini AI, Copilot, and open-source models like LLAMA, DeepSeek, and BERT Hands-on experience in Prompt Engineering and RAG for real-world applications Develop Conversational AI, ChatBots, VoiceBots using modern NLP frameworks like SpaCy, Rasa, LangChain, Hugging Face Use vector databases like Pinecone, Vertex AI, ChromaDB, or SingleStore to manage embeddings at scale Deploy and monitor models on cloud platforms like Azure and GCP Lead client engagements, RFP responses generation, and PoC development for both internal and external stakeholders Provide technical guidance, code reviews, and performance optimization support Explore and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets. Develop predictive/prescriptive models, algorithms, and prototypes to support business. Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations. Play an active role in software development processes. Stay up to date with the latest trends and advancements in data science, machine learning, and AI technologies and identify opportunities to apply them to improve business outcomes. Qualifications: A B.Tech / M.Tech / MBA from a top tier Institute preferably in a quantitative subject 5+ years of hands-on experience in applied Machine Learning, AI and analytics with a proven track record of developing AI/LLM models and algorithms A masters or bachelors degree in data science, Computer Science, Statistics, or a related field Strong programming skills in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) Expertise in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. Strong expertise in Machine Learning, Deep Learning, Data mining, and Statistical concepts and experience in developing models and solutions in these areas Expertise in client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. Strong publication record in top-tier journals and conferences. Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Experience developing software in traditional programming languages (C++, Java, etc..). Excellent written and spoken communication skills About Us E-Solutions is a leading AI consulting firm delivering cutting-edge solutions across recruitment & staffing, IT services, finance, retail, education, and manufacturing. We specialize in building advanced AI/ML products including large-scale recommender systems, LLM-based chatbots, AI-powered resume engines, GenAI copilots, and enterprise-wide automation systems. As part of our growing AI leadership team, we are looking for a Principal Data Scientist who can architect, lead, and implement end-to-end AI/ML solutions using the latest in Generative AI, LLMs, Vector Databases, and NLP frameworks. Reimagine the Future of IT Consulting & Development with ML, GenAI, & Agentic AI At E-Solutions, we empower global businesses by enhancing their IT infrastructure and software capabilities. Over two decades, weve grown into a trusted global partner, operating in 35+ countries with a team of 5,000+ professionals. Our expertise in Managed IT Services and Software Product Engineering, combined with robust testing, cloud solutions and AI/ML/Gen AI in NLP & Computer Vision domains ensures that the enterprise thrives in a competitive digital landscape. E-Solutions has achieved significant success in implementing ML/GenAI/Agentic AI projects like AI enabled matching of professionals profiles based on customer requirements, Agentic AI based end-to-end recruitment platform which will process & summarize customer requirements and AI agent will conduct online interviews and have efficient assessment to retrieve relevant profiles, Conversational AI Engine, Detecting Suspicious Behaviour during interviews etc. Simultaneously, the company successfully executed mergers and acquisitions, driving significant growth and expansion and embarking on a transformative digital journey. Join us to be the part of this innovative journey to build cutting-edge advance Agentic AI platform to deliver AI/ML/GenAI use cases across industries. Show more Show less

Job Overview Were looking for a Lead Data Scientist with a passion for both math and technology to join our growing Advanced Analytics group. This group writes the math and software to unlock the value in data assets while creating new and unique decision product offerings for customers. In this role, you will have the opportunity to work directly with the business innovation teams, marketing, sales and global customers along with expertise from Ecolabs Center for Advanced Analytics, to develop the data strategy and advanced analytics applications pipeline. You will have the opportunity to stay on the cutting edge of technology research and then to put your skills this research to practical use by building advanced data analytics science models your own software systems. You will be able to see the results of your efforts ripple throughout the company our systems in real-time. You will design your systems as you see fit, own your code, and your work will have a very direct, measurable impact on the core metrics of the organization. Whats In It For You The opportunity to take on some of the worlds most meaningful challenges, helping customers achieve clean water, safe food, abundant energy and healthy environments The ability to make an impact and shape your career with a company that is passionate about growth The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best Actively engage with internal business teams to understand their challenges and deliver robust, data driven solutions. Work alongside global counterparts to solve data-intensive problems using standard analytical frameworks and tools. Be encouraged and expected to innovate and be creative in your data analysis, problem solving and presentation of solutions. Network and collaborate with a broad range of internal business units to define and deliver joint solutions. Work alongside customers to leverage cutting edge technology (Generative AI, machine learning, streaming analytics and real big data) to creatively solve problems and disrupt existing business models. Key Responsibilities Lead, manage, and mentor a high-performing team of data scientists, ensuring excellence in technical execution and professional development Define, implement, and refine the AI and ML strategy and roadmap, aligning with the organization&aposs long-term goals and evolving business needs Drive the development and deployment of state-of-the-art AI methodologies, leveraging the latest advancements in machine learning, artificial intelligence, and computational techniques Present complex, data-driven insights and strategic recommendations to stakeholders, driving high-level decision-making Develop and nurture relationships with business partners and stakeholders across the organization, ensuring effective collaboration and alignment on AI-driven projects Ensure the scalability, reliability, and robustness of AI solutions through advanced model development, deployment, and monitoring practices Proactively manage project risks and mitigate potential issues, ensuring successful delivery and alignment with strategic goals Conduct pioneering research in emerging areas, integrating new technologies and methodologies to solve complex business problems Pre-Requisites 10+ years of experience in AI, Data Science or a related field, with a proven track record of leading and executing high-impact, technically complex projects Extensive expertise in advanced machine learning algorithms, deep learning, statistical modeling, and AI, with hands-on experience in cutting-edge techniques Mastery of programming languages such as Python, with extensive experience in advanced machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, LangChain, Transformers, OpenAI SDK, or Hugging Face) Advanced skills in SQL and hands-on experience with big data technologies Deep understanding of LLMs, prompt engineering, and transformer architectures Prior experience leading Generative AI solutions utilizing LLMs such as GPT, Claude, and LLaMA Demonstrated expertise in MLOps practices, including model deployment, monitoring, and optimization at scale Outstanding communication skills, both written and verbal, with the capability to convey complex technical concepts to diverse audiences and influence executive decision-making Ability to manage and deliver multiple high-stakes projects simultaneously, with a deep understanding of how to align data science initiatives with overarching business objectives and strategies (Preferred) Masters degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, Marketing Research Our Commitment to a Culture of Inclusion & Belonging Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability. Show more Show less

Job Summary We are seeking a highly skilled and passionate GenAI & Data Science Engineer with 3-5 years of experience in Python development, Generative AI, and Data Science. The ideal candidate will have a strong background in AI agent workflows, LLM fine-tuning, and Retrieval-Augmented Generation (RAG) models. You will play a key role in designing, developing, and deploying cutting-edge AI solutions using frameworks such as Lang Chain, Llama Index, and Hugging Face. This role offers the opportunity to work on transformative AI-driven solutions, leveraging state-of-the-art tools and frameworks to create impactful solutions in real-world applications. Key Responsibilities Design, develop, and deploy AI solutions with a focus on Generative AI and Data Science. Fine-tune Large Language Models (LLM) and implement Retrieval-Augmented Generation (RAG) models. Collaborate with cross-functional teams to integrate AI models into business workflows. Utilize frameworks such as Lang Chain, Llama Index, and Hugging Face to build scalable AI solutions. Participate in end-to-end AI model development, including data preprocessing, model selection, training, evaluation, and deployment. Continuously monitor and optimize the performance of AI models to ensure they meet business requirements. Work with stakeholders to understand AI requirements and contribute to solution design and architecture. Stay up to date with the latest advancements in AI technologies and industry trends. Qualifications Bachelors or Masters degree in Computer Science, Data Science, AI, or a related field. 3-5 years of professional experience in Python development, AI, and Data Science. Proven experience with Generative AI, including fine-tuning LLMs and working with RAG models. Hands-on experience with frameworks like Lang Chain, Llama Index, and Hugging Face. Strong understanding of machine learning algorithms, deep learning, and natural language processing (NLP). Experience in AI model deployment and scaling in production environments. Technical Skills Programming: Python, including libraries like TensorFlow, PyTorch, Pandas, NumPy, etc. AI/ML Frameworks: Lang Chain, Llama Index, Hugging Face, etc. Machine Learning Algorithms: Supervised and Unsupervised Learning, NLP, Reinforcement Learning. Data Engineering: Data preprocessing, data wrangling, ETL processes. Databricks experience. Cloud Platforms: AWS, GCP, Azure (experience with AI tools on cloud platforms). Version Control: Git, GitHub, GitLab. Familiarity with containerization tools like Docker and Kubernetes. Soft Skills Strong problem-solving skills and analytical thinking. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Adaptability to evolving technologies and requirements. Strong attention to detail and high quality of work. Time management and ability to meet deadlines. Work Experience 3-5 years of experience working in AI, Data Science, or a related field. Practical experience in working with Generative AI, LLM fine-tuning, and RAG models. Experience with deployment of AI models in cloud environments. Proven track record delivering AI-driven solutions to solve real business problems. Good to Have Experience with other AI tools and frameworks like OpenAI GPT, DeepPavlov, or similar. Exposure to data integration and API development. Knowledge of advanced topics in NLP, such as transformers and attention mechanisms. Experience with building AI-powered applications or chatbots. Compensation & Benefits Salary: Competitive base salary based on experience and skills. Bonus: Annual performance-based bonus. Benefits: Health insurance, paid time off, work-from-home options, and retirement benefits. Learning & Development: Access to AI and Data Science training, conferences, and certifications. Key Performance Indicators (KPIs) & Key Result Areas (KRAs) KPIs Timely delivery of AI projects and solutions. Quality and accuracy of fine-tuned AI models. Successful integration of AI solutions into business workflows. Continuous improvement in AI model performance (accuracy, speed, scalability). Stakeholder satisfaction and feedback on AI-driven solutions. Contribution to knowledge sharing and team collaboration. KRAs AI model development, fine-tuning, and deployment. End-to-end ownership of AI solution delivery. Collaboration with cross-functional teams to define and implement business requirements. Optimization and monitoring of AI solutions in production environments. Contact: [HIDDEN TEXT] Show more Show less

As a Scrum Master at Rabbit Digital Branding Solutions, you will play a crucial role in orchestrating end-to-end sprints across LLM dev, OS architecture, and AI product delivery. Your responsibilities will include aligning timelines between model training, GPU resource allocation, chip design milestones, and app releases. You will facilitate Agile rituals with precision and energy, ensuring that a diverse team is firing on all cylinders. Additionally, you will serve as the central node between product vision, engineering velocity, and research experimentation. It will be essential for you to maintain deep visibility using tools like JIRA, Notion, or ClickUp and lead from the front on delivery. Partnering with technical and product leadership to push the boundaries of what's possible will also be a key aspect of your role. Moreover, you will inspire a team culture of speed, accountability, and high-bandwidth learning. Key Responsibilities: - Orchestrate end-to-end sprints across LLM dev, OS architecture, and AI product delivery - Align timelines between model training, GPU resource allocation, chip design milestones, and app releases - Facilitate Agile rituals with precision and energy, keeping a diverse team firing on all cylinders - Serve as the central node between product vision, engineering velocity, and research experimentation - Maintain deep visibility using tools like JIRA, Notion, or ClickUp and lead from the front on delivery - Partner with technical and product leadership to push the boundaries of what's possible - Inspire a team culture of speed, accountability, and high-bandwidth learning Qualifications Required: - 5+ years of experience leading Agile/Scrum teams in tech-first environments - Deep understanding of software engineering workflows (Python, Flutter) and ML pipelines - Bonus: familiarity with hardware cycles, embedded systems, or OS-level architecture - Strong coordination across cross-disciplinary teams from AI researchers to hardware designers - Exposure to LLM tools like Hugging Face, MLflow, or model tuning platforms is a plus - Excellent communication and roadmap ownership skills - Scrum Master certifications (CSM, PSM) preferred - Background in CS, ECE, or equivalent technical domain Please note that the additional details of the company were not provided in the job description.,

As a Senior Applied ML Engineer at Cozeva, you will play a crucial role in bridging the gap between research and production, ensuring that Cozeva's AI innovations are successfully deployed, monitored, and scaled within the SaaS platform. Your expertise in machine learning models and enterprise-scale software systems will be instrumental in turning prototypes into high-performing, production-grade AI features that drive value-based care. Key Responsibilities: - Model Integration & Deployment: - Embed various ML/AI models (LLMs, NLP, risk models, forecasting) into Cozeva's software workflows and APIs. - Build and maintain production pipelines for training, evaluation, and deployment on cloud-native infrastructure. - Scalable Systems Engineering: - Design and manage distributed data pipelines for claims, clinical, and EHR data. - Ensure the performance, reliability, and cost efficiency of AI workloads on Aurora MySQL, Redshift, S3, EC2/K8s. - MLOps Practices: - Implement CI/CD for ML, including model versioning, automated retraining, monitoring, and rollback. - Monitor live model performance, drift, and fairness to comply with Cozeva's AI Governance Framework v1.1. - Applied Problem Solving: - Collaborate with AI Scientists to deploy models for NLP abstraction of clinical data, risk stratification, hospitalization/ED prediction, and member engagement. - Collaboration: - Work closely with data engineers, SDEs, and product teams to deliver AI-driven features in Cozeva's SaaS stack. Qualifications Required: - Bachelors or Masters in Computer Science, AI/ML, or related field. - 5-8 years of experience in building and deploying ML models into production. - Strong software engineering skills in Python, SQL, Docker/Kubernetes, and distributed systems. - Experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face, and MLOps tools like MLflow, Kubeflow, SageMaker, or equivalent. - Proficiency in cloud infrastructure, preferably AWS (S3, EC2, RDS/Aurora, Redshift, IAM). - Proven track record of delivering production-ready ML/AI features at scale. Why Join Cozeva By joining Cozeva, you will have the opportunity to: - Make a meaningful impact on health equity and outcomes for millions of patients. - Deploy cutting-edge models directly into a SaaS platform. - Collaborate closely with the CTO, scientists, and engineering leaders. - Work with top-tier AI talent globally in a culture of transparency, collaboration, and impact.,

As a Data Scientist specializing in Generative AI, you will be responsible for the following: - Utilizing your 3+ years of experience in Data Science to work on generative AI, agentic AI, LLMs, and NLP. - Demonstrating hands-on expertise with RAG pipelines, knowledge graphs, and prompt engineering. - Applying your skills in Azure AI tools such as Azure OpenAI, Cognitive Services, and Azure ML. - Leveraging your experience with LangChain, Agentic AI frameworks, and orchestration tools. - Proficiency in utilizing Hugging Face for model building and fine-tuning. - Demonstrating strong Python development skills specifically tailored for AI applications. - Working with vector databases, embeddings, and semantic search implementations. - Applying your solid MLOps background including CI/CD pipelines, DevOps integration, and AI deployment optimization. - Familiarity with FastAPI, Databricks, AWS, MLflow, Faiss, Redis, and OpenAI APIs. - Being a great problem-solver who enjoys debugging and improving AI systems. Qualifications required for this role include: - Bachelor's or Master's degree in Computer Science, Data Science, or a related field. - 4 to 5 years of relevant experience in Data Science with a focus on generative AI and NLP. - Proven track record of working with AI tools and frameworks mentioned in the job description. If you are passionate about Data Science and Generative AI, and enjoy working on cutting-edge technologies, this role is perfect for you. Apply now by sending your resume to deepak.visko@gmail.com or call 9238142824. Please note that this is a full-time, permanent position with benefits including cell phone reimbursement, health insurance, paid sick time, paid time off, and Provident Fund. The work location is in person at Noida.,

Position: AI Tools & Automation Developer - OnSite(Ahmedabad) Company: Moksh Infotech Private Limited Location: Ahmedabad (Work from Office) Company Overview Moksh Infotech is a rapidly growing IT services company based in Ahmedabad, specializing in digital transformation, AI-driven automation, enterprise integrations, and software development solutions. We empower businesses with modern AI technologies, automated workflows, and custom IT strategies to achieve high efficiency and innovation. Role Summary We are looking for a highly skilled AI Tools & Automation Developer to design, build, and maintain AI-powered tools and automation workflows. The ideal candidate will work closely with cross-functional teams to identify automation opportunities and deploy solutions that enhance productivity, data handling, and system integrations. Key Responsibilities Design, develop, and deploy AI-powered tools using platforms like OpenAI, Hugging Face, and LangChain to solve real-world problems such as content summarization, intelligent search, document analysis, and workflow optimization. Automate routine business operations by building workflows and bots using Python scripting, Selenium automation, and industry-standard tools like UIPath, Power Automate, Zapier, and Make (Integromat). Collaborate with various departments to understand process bottlenecks and recommend AI or automation-driven improvements tailored to team-specific requirements. Develop, test, and maintain REST APIs and webhook-based integrations to connect platforms such as CRMs, Gmail, Slack, internal dashboards, and third-party tools. Create intuitive front-end tools using frameworks like Streamlit, Flask, or React for internal stakeholders to interact with AI workflows, monitor outputs, and initiate automation tasks. Handle and analyze large datasets using Pandas and SQL for data cleaning, transformation, and processing prior to automation or AI analysis. Implement monitoring and logging mechanisms to ensure the stability, scalability, and accuracy of deployed automation workflows and AI tools. Document all created tools, scripts, workflows, and processes for easy maintenance, handover, and compliance. Continuously explore and test new APIs, tools, and LLMs to improve solution effectiveness and stay ahead of technological trends in AI and automation. Work closely with DevOps/IT teams when required to deploy tools on secure internal servers or cloud environments and ensure compliance with security protocols. Required Skills & Qualifications Bachelors or Masters degree in Computer Science, IT, or related field. 35 years of relevant experience in automation development or AI tooling. Strong programming experience in Python (mandatory). Familiarity with automation tools (UIPath, Selenium, Power Automate, Zapier). API development and integration experience. Knowledge of AI/ML APIs (OpenAI, Hugging Face, etc.) and LLMs. Good understanding of data handling with Pandas, SQL, and Google Sheets scripting. Strong communication and documentation skills. Soft Skills Problem-solving and analytical thinking. Quick learner with ability to adapt to new tools and platforms. Proactive and self-motivated attitude. Excellent collaboration and communication abilities. Interview Process Resume + portfolio screening (GitHub, project demos, documentation). Technical assignment focused on automation or AI integration. In-depth technical interview covering past experience and tool knowledge. Managerial round assessing scalability, workflow logic, and ownership. HR round for salary discussion and culture fit. If you&aposre passionate about automation, AI integration, and building tools that truly make an impact wed love to hear from you! Show more Show less

We are looking for a highly motivated AI Presales Intern to join our team. In this role, you will engage directly with enterprise customers to understand their needs, design tailored Generative AI solutions , and demonstrate how AI can create measurable business value. This position sits at the intersection of engineering, product, and sales , offering exposure to both technical solutioning and strategic business conversations. AI Presales Intern Location: Hyderabad Employment Type: Internship (with potential PPO based on performance) Key Responsibilities Collaborate with sales and product teams to gather customer requirements and design AI-powered solution architectures . Deliver compelling technical demos, workshops, and proofs-of-concept (POCs) using LLMs, RAG pipelines, and prompt engineering. Translate technical concepts into clear, business valuefocused narratives that resonate with both technical and executive stakeholders. Support enterprise clients in overcoming AI adoption challenges such as security, scalability, ROI, and compliance . Build and maintain presales assets including reference architectures, demo scripts, pitch decks, and technical documentation. Act as a bridge between engineering teams and business leaders , ensuring alignment and clarity. Required Skills Hands-on experience with Generative AI & LLMs (fine-tuning, Retrieval-Augmented Generation, prompt engineering). Proficiency in Python programming (APIs, frameworks, and problem-solving). Familiarity with AI frameworks like LangChain, Hugging Face, OpenAI APIs . Excellent communication, presentation, and storytelling abilities . Proven ability to explain complex AI concepts to both technical and non-technical stakeholders. Strong demonstration skills , with the ability to showcase ROI through real-world use cases. High IQ & EQ : strong curiosity, active listening, and the ability to ask the right questions at the right time. Preferred/Teachable Skills Strategic & Business Acumen : understanding of enterprise AI adoption challenges (security, compliance, scalability). Solution Architecture & Integration : exposure to enterprise systems, APIs, and cloud environments. Awareness of go-to-market strategies and customer enablement practices. What Youll Gain Hands-on experience designing and delivering enterprise-grade AI solutions . Direct exposure to client interactions, workshops, and presales strategy . Mentorship from senior AI, product, and presales professionals. Opportunity for conversion to a full-time AI Presales Engineer role based on performance. If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role. To know more about Techolution, visit our website: www.techolution.com If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role.To know more about Techolution, visit our website: www.techolution.com About Techolution: Techolution is a next gen AI consulting firm on track to become one of the most admired brands in the world for "AI done right". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. At Techolution, we build custom AI solutions that produce revolutionary outcomes for enterprises worldwide. Specializing in "AI Done Right," we leverage our expertise and proprietary IP to transform operations and help achieve business goals efficiently. We are honored to have recently received the prestigious Inc 500 Best In Business award , a testament to our commitment to excellence. We were also awarded - AI Solution Provider of the Year by The AI Summit 2023, Platinum sponsor at Advantage DoD 2024 Symposium and a lot more exciting stuff! While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Our thought leader, Luv Tulsidas, wrote and published a book in collaboration with Forbes, Failing Fast Secrets to succeed fast with AI. Refer here for more details on the content - https://www.luvtulsidas.com/ Let&aposs explore further! Uncover our unique AI accelerators with us: 1. Enterprise LLM Studio : Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes. 2. AppMod. AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands! 3. ComputerVision. AI : Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration! 4. Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services. 5. RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI. Some videos you wanna watch! Computer Vision demo at The AI Summit New York 2023 Life at Techolution GoogleNext 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION Worlds Greatest Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology. Show more Show less

Job Description : 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 hirePython Professionals in the following areas : Job Description: Principle Developer - ML/Prompt Engineer Technologies: Amazon Bedrock, RAG Models, Java, Python, C or C++, AWS Lambda, Responsibilities: Responsible for developing, deploying, and maintaining a Retrieval Augmented Generation (RAG) model in Amazon Bedrock, our cloud-based platform for building and scaling generative AI applications. Design and implement a RAG model that can generate natural language responses, commands, and actions based on user queries and context, using the Anthropic Claude model as the backbone. Integrate the RAG model with Amazon Bedrock, our platform that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Optimize the RAG model for performance, scalability, and reliability, using best practices and robust engineering methodologies. Design, test, and optimize prompts to improve performance, accuracy, and alignment of large language models across diverse use cases. Develop and maintain reusable prompt templates, chains, and libraries to support scalable and consistent GenAI applications. Skills/Qualifications: Experience in programming with at least one software language, such as Java, Python, or C/C++. Experience in working with generative AI tools, models, and frameworks, such as Anthropic, OpenAI, Hugging Face, TensorFlow, PyTorch, or Jupyter. Experience in working with RAG models or similar architectures, such as RAG, Ragna, or Pinecone. Experience in working with Amazon Bedrock or similar platforms, such as AWS Lambda, Amazon SageMaker, or Amazon Comprehend. Ability to design, iterate, and optimize prompts for various LLM use cases (e.g., summarization, classification, translation, Q&A, and agent workflows). Deep understanding of prompt engineering techniques (zero-shot, few-shot, chain-of-thought, etc.) and their effect on model behavior. Familiarity with prompt evaluation strategies, including manual review, automatic metrics, and A/B testing frameworks. Experience building prompt libraries, reusable templates, and structured prompt workflows for scalable GenAI applications. Ability to debug and refine prompts to improve accuracy, safety, and alignment with business objectives. Awareness of prompt injection risks and experience implementing mitigation strategies. Familiarity with prompt tuning, parameter-efficient fine-tuning (PEFT), and prompt chaining methods. Familiarity with continuous deployment and DevOps tools preferred. Experience with Git preferred Experience working in agile/scrum environments Successful track record interfacing and communicating effectively across cross-functional teams. Good communication, analytical and presentation skills, problem-solving skills and learning attitude 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

My profile - linkedin.com/in/yashsharma1608 Position : AI Architect ( Gen AI ) Experience : 8 - 10 years Notice Period : Immediate to 15 days. Budget upto - 45 to 50 LPA Location : Bangalore. Note : - (any developer with minimum 3 to 4 years into AI), SaaS company mandatory. Product Based company Mandatory Discuss the feasibility of AI/ML use cases along with architectural design with business teams and translate the vision of business leaders into realistic technical implementation Play a key role in defining the AI architecture and selecting appropriate technologies from a pool of open-source and commercial offerings Design and implement robust ML infrastructure and deployment pipelines Establish comprehensive MLOps practices for model training, versioning, and deployment Lead the development of HR-specialized language models (SLMs) Implement model monitoring, observability, and performance optimization frameworks Develop and execute fine-tuning strategies for large language models Create and maintain data quality assessment and validation processes Design model versioning systems and A/B testing frameworks Define technical standards and best practices for AI development Optimize infrastructure for cost, performance, and scalability Required Qualifications 7+ years of experience in ML/AI engineering or related technical roles 3+ years of hands-on experience with MLOps and production ML systems Demonstrated expertise in fine-tuning and adapting foundation models Strong knowledge of model serving infrastructure and orchestration Proficiency with MLOps tools (MLflow, Kubeflow, Weights & Biases, etc.) Experience implementing model versioning and A/B testing frameworks Strong background in data quality methodologies for ML training Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face) Experience with cloud-based ML platforms (AWS, Azure, Google Cloud) Proven track record of deploying ML models at scale Preferred Qualifications Experience developing AI applications for enterprise software domains Knowledge of distributed training techniques and infrastructure Experience with retrieval-augmented generation (RAG) systems Familiarity with vector databases (Pinecone, Weaviate, Milvus) Understanding of responsible AI practices and bias mitigation Bachelor's or Master's degree in Computer Science, Machine Learning, or related field What We Offer Opportunity to shape AI strategy for a fast-growing HR technology leader Collaborative environment focused on innovation and impact Competitive compensation package Professional development opportunities Flexible work arrangements Qualified candidates who are passionate about applying cutting-edge AI to transform HR technology are encouraged to apply

Roles and Responsibilities: Lead end-to-end delivery of GenAI projects from initiation through deployment. Translate technical requirements into project plans, timelines, and deliverables. Collaborate with AI/ML teams to scope model development, data collection, training, and evaluation phases. Identify project risks, develop mitigation plans, and ensure adherence to best practices in AI ethics and governance. Act as a liaison between technical teams and non-technical stakeholders, ensuring alignment and clarity on project goals. Drive Agile or hybrid methodologies, including sprint planning, backlog grooming, and daily stand-ups. Monitor project KPIs and success metrics related to model performance, usability, and business impact. Manage external vendors or partners contributing to AI initiatives. Qualifications: Bachelor's degree in Computer Science, Engineering, AI, or related field (Master's preferred). 5+ years of experience in project management, with at least 1-2 years in AI/ML or data science-related environments. Strong understanding of Generative AI concepts (e.g., LLMs like GPT, DALL.E, diffusion models, fine-tuning, prompt engineering). Familiarity with AI lifecycle tools and platforms (e.g., Hugging Face, LangChain, MLflow, Vertex AI, etc.). Proven track record in delivering complex, multi-disciplinary projects on time and within scope.

We are seeking a skilled Python AI/ML Data Science Developer to become part of our vibrant team. If you have practical experience in training AI models, creating Python scripts for AI-driven solutions, and streamlining workflows through tools like n8n, we invite you to join us. Your enthusiasm for AI, data science, and automation would be a valuable addition to our team. Your duties will include leveraging existing datasets to train AI models with advanced machine learning algorithms and frameworks like TensorFlow, Keras, PyTorch, or scikit-learn. You will concentrate on training models using multilingual datasets that include languages such as Hindi, English, and Hinglish. Additionally, you will be responsible for developing, optimizing, and managing efficient Python scripts for various data science tasks, like data preprocessing, model training, evaluation, and automation. You will process and analyze extensive datasets to extract valuable insights that can enhance model performance and drive predictive analytics. Furthermore, you will use n8n to automate data pipelines and workflows, facilitating the integration of multiple services and enhancing operational efficiency. You will also assist in deploying AI models into production environments, monitoring their performance, and ensuring smooth operation, particularly when handling multilingual datasets. Collaboration with data scientists, engineers, and cross-functional teams will be crucial to creating AI-driven solutions that align with business goals. It is essential to stay updated on the latest AI/ML trends, tools, and technologies to implement new techniques and enhance models and scripts continually. Expertise in Hugging Face's open-source pre-trained models, such as BERT, multilingual MPNet, and DistilBERT, will be necessary to address a variety of language processing challenges. You will work on advanced AI models supporting OCR, transcription, translation, transliteration, and video contextual understanding for diverse business applications. The ideal candidate will have up to 3 years of experience as an AI/ML Developer or Data Scientist, with a strong command of Python libraries like TensorFlow, Keras, scikit-learn, Pandas, NumPy, etc. Proficiency in machine learning techniques, data wrangling, feature engineering, and model evaluation is essential. Knowledge of n8n for workflow automation, managing MCP servers, problem-solving abilities, and effective communication skills are also required. Experience with cloud-based AI/ML services, version control tools like Git, and basic understanding of Docker and containerization for model deployment are additional qualifications we seek. In return, we offer opportunities for continuous learning and growth, a competitive salary, and benefits. If you are excited about working in a collaborative and innovative environment, we would be thrilled to have you on board.,

We are seeking a hands-on leader to play a crucial role in shaping the future of AI/ML and SaaS platforms at scale. This position involves a combination of architecture, coding, and mentorship, providing an exciting opportunity to drive enterprise AI adoption. As part of your responsibilities, you will be expected to build and scale AI/ML solutions such as LLMs, RAG, and automation. You will remain hands-on by participating in coding and design reviews, as well as mentoring teams and promoting best engineering practices. Collaboration with product and business teams to deliver high-impact use cases will also be a key aspect of this role. The ideal candidate should possess over 15 years of experience in software engineering, with a strong background in coding and architecture. A track record of innovation in enterprise AI and SaaS platforms is essential. Additionally, experience with GenAI tools like LangChain and Hugging Face, ML frameworks such as PyTorch and TensorFlow, and MLOps tools like MLflow, SageMaker, and Kubernetes will be highly beneficial. Joining our team will allow you to work at the forefront of AI/ML technologies. You will have the opportunity to maintain a hands-on approach while contributing to the development of architecture and culture. Furthermore, you will be part of a team that prioritizes impact, agility, and innovation.,

As a Senior Python Developer specializing in AI/ML at NS Ventures, you will be responsible for designing, developing, and deploying AI-driven applications. In this role, you will collaborate with global teams to work on advanced ML models, cloud-based deployments, and scalable backend systems. Your primary responsibilities will include developing and deploying scalable AI/ML models in Python, collaborating with data scientists to implement ML solutions, building and maintaining data pipelines for training and inference, creating APIs (using FastAPI/Django/Flask) to serve ML models, optimizing models for performance and efficiency, as well as deploying and managing solutions on cloud platforms such as AWS, GCP, or Azure. Additionally, you will have the opportunity to work on projects involving NLP, Computer Vision, and Generative AI, while also mentoring junior developers and enforcing coding best practices within the team. To excel in this role, you should possess a minimum of 5 years of Python development experience with a strong backend focus, hands-on expertise in ML frameworks (such as TensorFlow, PyTorch, Scikit-learn, Hugging Face), experience in developing REST APIs using FastAPI/Django/Flask, a solid understanding of cloud platforms (AWS/GCP/Azure), proficiency in SQL/NoSQL databases and data engineering, exposure to Computer Vision, NLP, or Generative AI, strong debugging and problem-solving skills, as well as mandatory English fluency, with knowledge of Spanish or other global languages being a plus.,

As a Senior Generative AI Engineer at Blue Yonder, you will play a crucial role in designing, developing, and implementing innovative agentic AI-driven solutions. This is a hands-on position where you will be responsible for building agentic AI proof of concepts (POCs) from scratch to showcase the potential and value of the solutions to the business. Your primary responsibilities will include designing, prototyping, and deploying cutting-edge agentic AI solutions that address customer pain points within Blue Yonder's global customer base. You will work on pioneering projects that explore the capabilities of Generative AI and machine learning in the supply chain and retail sectors. In this role, you will design, build, and iterate agentic AI solutions using proprietary and open-source language model frameworks such as Autogen. You will also demonstrate these solutions to internal stakeholders and customers, gather feedback, and continuously enhance the solutions based on the input received. Collaboration with team members and supply chain experts will be essential to refine agentic AI solutions and tailor them to specific business challenges. Additionally, you will be tasked with establishing coding standards, best practices, and technical documentation to ensure the development of reliable and robust AI agents. Key qualifications for this role include a Bachelor's degree in computer science, Artificial Intelligence, Data Science, or a related STEM field, along with a minimum of 3 years of experience in data science, machine learning, or Generative AI. Proficiency in Python and various ML libraries is a must, as well as a solid understanding of language model frameworks, cloud platforms, and version control systems. If you are passionate about pushing the boundaries of AI, committed to continuous learning and innovation, and thrive in a dynamic startup environment within an enterprise setting, we encourage you to apply for this exciting opportunity. Preferred skills for this role include familiarity with CI/CD pipelines, automated testing strategies, monitoring tools for language models, and prior experience in solving data science challenges within the supply chain domain. Strong communication skills and a history of contributions to open-source projects in the AI/ML space are also advantageous. At Blue Yonder, our values are at the core of everything we do. If you share our values and are driven by a desire to make a meaningful impact, we invite you to explore how you can be a part of our success story.,

Job Description: Data Science Trainer We&aposre seeking a committed Technical Data Science Trainer to join us in delivering the next generation of AI technical training. This is not just a job - it&aposs an opportunity to play a key role in empowering the next generation of AI/ML professionals, influencing their careers and contributing to the growing AI ecosystem. The role also helps get recognized as a leader in the AI training space while expanding your personal and professional brand This role is ideal for someone passionate about both teaching and technology, capable of helping learners become skilled professionals in AI and related fields. Skills: AI, Machine Learning, Python, Numpy, Pandas, R Programming, Statistics, Computer Vision, Natural Language Processing, LLMs, Tableau, Power BI Essential Qualifications: B.Tech., M.Tech., MCA or equivalent experience 2 - 6 years' of experience Expertise Required: Technical Expertise: Proficient in AI, ML, Deep Learning, LLMs, Computer Vision, and Python. Tools and Frameworks: Hands-on experience with TensorFlow, PyTorch, Scikit-learn, OpenCV, Hugging Face, NumPy, Pandas, Matplotlib, Seaborn, and R Programming. Communication: Strong ability to explain technical concepts in simple terms and provide clear instructions. Problem-Solving: Ability to debug code, identify errors, and explain solutions effectively. Key Responsibilities: Training Delivery: Design and deliver training programs and workshops for individuals and teams on AI, ML, Deep Learning, LLMs, Computer Vision, and Python programming. Adapt training methods to suit varying levels of expertise, from beginner to advanced learners. Curriculum Development: Develop structured, up-to-date course materials, including slide decks, coding exercises, case studies, and hands-on projects. Incorporate real-world applications and industry best practices into the curriculum for a practical learning experience. Regularly update course content to align with advancements in technology and industry trends. Hands-On Learning: Guide learners through practical exercises, coding labs, and project-based learning to ensure hands-on experience with tools, frameworks, and algorithms. Provide training on key frameworks and tools such as TensorFlow, PyTorch, OpenCV, Hugging Face, Scikit-learn, and Pandas. Mentorship and Support: Offer one-on-one mentorship to learners, addressing individual doubts and helping them troubleshoot complex problems. Monitor learners progress, provide constructive feedback, and suggest improvement strategies. Assessment and Evaluation: Develop and administer assessments to evaluate learners understanding and skill levels. Analyze test results and provide detailed performance feedback. Domain-Specific Expertise: Explain and demonstrate key AI/ML concepts, such as supervised and unsupervised learning, reinforcement learning, natural language processing (NLP), and computer vision techniques. Guide learners in working with large language models (LLMs) like GPT and BERT, focusing on fine-tuning and deployment. Train learners on deep learning topics, including neural networks, CNNs, RNNs, and transformers. Stay Updated on Trends: Continuously research advancements in AI, ML, Deep Learning, and Python, incorporating cutting-edge techniques into the training materials. Maintain familiarity with emerging technologies like generative AI and explainable AI. Soft Skills and Collaboration: Communicate complex concepts clearly to learners from diverse technical and non-technical backgrounds. Foster an engaging and interactive learning environment, encouraging collaboration among participants. What We Offer Be part of cutting-edge AI projects and work on real-world applications of Machine Learning, Deep Learning, Large Language Models (LLMs), and Computer Vision. Opportunity to stay ahead in the AI revolution by working with the latest tools and technologies like TensorFlow, PyTorch, OpenCV, and Hugging Face. Access to continuous learning resources and mentorship programs to sharpen your expertise and stay updated with emerging trends. Build leadership and communication skills by mentoring learners and engaging with professionals across various industries. Connect with industry experts, aspiring AI professionals, and innovators, giving you a strong professional network. Grow with the company! Be part of our exciting journey as we expand and make an impact in the AI training industry. Enjoy early access to leadership opportunities and the chance to shape the companys future direction. Our Culture & Values Startup Culture - Fast-Paced, Collaborative, and Innovative A place for growth. We believe in nurturing talent and giving everyone the chance to grow professionally and personally We work as a team, supporting and learning from each other. Every voice matters here We trust our team to take ownership of their work and make meaningful contributions. Dynamic startup energy Collaborative leadership Continuous learning Show more Show less

About The Company BP Energy is a global leader in the energy sector, committed to delivering innovative and sustainable energy solutions. With a rich history of operational excellence and a focus on technological advancement, BP Energy is dedicated to transforming the future of energy through cutting-edge innovation, responsible practices, and a commitment to reducing carbon emissions. The company fosters a dynamic and inclusive work environment that encourages continuous learning and professional growth, aiming to create value for stakeholders while contributing positively to society and the environment. About The Role We are seeking a highly experienced and visionary Staff AI Engineer to join BP Energy&aposs AI Acceleration organization. This role is pivotal in designing, developing, and deploying scalable AI-powered applications that provide tangible business value. The ideal candidate will possess a deep understanding of modern AI tooling, infrastructure, and disciplined software engineering principles. You will lead initiatives that involve building foundational AI platforms, integrating advanced AI models, and automating workflows to enhance operational efficiency and innovation across the enterprise. In this role, you will collaborate closely with cross-functional teams including data scientists, product managers, and business stakeholders to translate complex technical ideas into impactful solutions. You will also provide technical mentorship, influence architectural decisions, and champion best practices in responsible AI deployment. This position offers an exciting opportunity to shape the future of AI at BP Energy, working on high-impact projects that drive real-world results and sustainability initiatives. Qualifications Required: 12+ years of professional software engineering experience with a proven track record of designing and deploying sophisticated systems in production environments. Strong programming skills in Python (preferred), Java, or similar languages, with extensive experience in developing microservices, APIs, and backend architectures. Deep understanding of software architecture, cloud infrastructure (AWS, Azure, GCP), and modern DevOps practices. Hands-on experience integrating machine learning models into production systems, including LLMs via APIs, fine-tuning, retrieval-augmented generation, embeddings, and agent-based frameworks. Comprehensive knowledge of large language models, vector-based search, unstructured data processing, and related AI technologies. Proven ability to work efficiently without compromising code quality, test coverage, or operational standards. Exceptional problem-solving skills, with a bias for action and the ability to navigate ambiguity and complexity effectively. Experience in technical mentorship and influencing cross-team initiatives. Excellent communication skills, capable of translating complex technical concepts into clear business insights. Preferred Familiarity with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems. Experience with GenAI frameworks like LlamaIndex, Crew AI, AutoGen, or similar agent orchestration tools. Background in building reusable ML components or contributing to internal ML platform development. Experience working in embedded or forward-deployed teams requiring rapid iteration and close collaboration with business units. Proficiency with Python and ML/data science libraries such as scikit-learn, pandas, NumPy, PyTorch, TensorFlow. Understanding of machine learning fundamentals, including supervised and unsupervised learning, model evaluation, and statistical inference. Experience working with unstructured data types like documents, conversations, or images and transforming them into structured formats. Previous experience building chatbots, search engines, or generative AI interfaces. Background in platform engineering or internal developer tools teams is advantageous. Responsibilities Design, develop, and maintain production-grade AI applications and services, adhering to modern software engineering practices such as CI/CD, testing, observability, and cloud-native design. Define and implement foundational AI platforms, including conversational bots, AI-powered search, unstructured data processing, and GenAI solutions, ensuring reusability and scalability enterprise-wide. Lead architectural decisions, establishing guidelines for software development lifecycle, explainability, and responsible AI practices. Drive cross-functional initiatives with business stakeholders to rapidly develop and deploy AI solutions addressing high-priority challenges. Evaluate and integrate existing AI tools, frameworks, and APIs, including LLMs, vector databases, retrieval-augmented generation, and other relevant technologies. Champion automation across workflowsfrom data ingestion and preprocessing to model deploymentdefining success metrics and operational procedures. Partner with data scientists, product managers, and engineers to ensure end-to-end delivery, performance, and reliability of AI products. Stay abreast of emerging AI technologies, prioritizing practical applications that deliver tangible value. Contribute to internal knowledge bases, tooling libraries, and documentation to promote best practices organization-wide. Mentor engineering teams and data scientists, providing technical leadership and raising standards for rigor and impact. Benefits BP Energy offers a comprehensive benefits package designed to support the well-being and professional growth of our employees. This includes competitive salary packages, health insurance, retirement plans, and paid time off. We promote a flexible work environment with hybrid working arrangements to support work-life balance. Employees have access to continuous learning opportunities, technical training, and development programs. Additionally, BP Energy fosters an inclusive culture that values diversity, innovation, and collaboration, providing a platform for employees to thrive and make meaningful contributions to the future of energy. Show more Show less

Job Summary: We are seeking an innovative and highly skilled Data Scientist (LLM & Generative AI) with 5+ years of experience in machine learning, natural language processing, and applied AI. The ideal candidate will have deep expertise in large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and agentic AI approaches. This role involves developing intelligent, autonomous, and scalable AI solutions that leverage cutting-edge research in generative AI, transformers, and multi-agent systems. In addition, the candidate will be expected to collaborate closely with engineering teams to bring research into production. Key Responsibilities: Research, design, and implement advanced LLM-based solutions for NLP, knowledge retrieval, and reasoning tasks. Develop and fine-tune LLMs (e.g., GPT, LLaMA, Falcon, Claude) for domain-specific use cases. Apply agentic AI approaches (multi-agent systems, autonomous agents, decision-making pipelines) to real-world business challenges. Design and implement retrieval-augmented generation (RAG) pipelines to combine structured/unstructured data with LLM capabilities. Build and optimize prompt engineering frameworks, evaluation metrics, and automated testing for generative AI outputs. Collaborate with ML engineers to deploy models into scalable cloud environments (AWS/GCP/Azure). Work with cross-functional teams to integrate LLM-powered agents into applications, workflows, and customer-facing products. Stay up-to-date with the latest research in LLMs, generative AI, reinforcement learning, and agentic architectures. Mentor junior team members and contribute to building an internal knowledge base on applied AI best practices. Requirements: Must-Have Skills: 5+ years of experience in data science, ML, or AI research with a focus on NLP and deep learning. Strong experience working with transformer architectures (e.g., BERT, GPT, T5, LLaMA). Hands-on expertise in fine-tuning and deploying LLMs using frameworks like Hugging Face Transformers, LangChain, or Haystack. Deep understanding of agentic AI approaches, including orchestration, multi-agent workflows, and autonomous reasoning systems. Proficiency in Python and ML libraries (PyTorch, TensorFlow, Hugging Face, LangChain, Ray). Strong background in applied NLP techniques such as text classification, summarization, embeddings, semantic search, and dialogue systems. Experience building RAG pipelines with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus). Familiarity with MLOps and cloud deployment (AWS Sagemaker, GCP Vertex AI, Azure ML). Nice-to-Have Skills: Knowledge of reinforcement learning (RLHF, RLAIF) for LLM optimization. Experience with multi-modal models (text, image, speech). Familiarity with graph databases and knowledge graphs for reasoning tasks. Contributions to open-source projects in NLP/LLM space. Understanding of privacy, security, and ethical considerations in generative AI. Location- remote Salary -25lpa Experience -5+years 6 months contract (extendable) Show more Show less

We are seeking highly skilled and innovative Data Scientists with strong expertise in Azure AI and ML to join our team. The ideal candidates will bring deep experience in building and deploying advanced machine learning and AI models, particularly working with unstructured data, NLP, and generative AI solutions. You will play a key role in designing, experimenting, and delivering AI-driven capabilities that unlock business value and innovation. Key Responsibilities Design, develop, and deploy ML and AI models on the Azure ecosystem. Work extensively with unstructured data sets (text, images, documents, etc.) to extract insights and build scalable solutions. Apply advanced Natural Language Processing (NLP) and Natural Language Generation (NLG) techniques to solve business problems. Leverage Copilot Studio, AI Foundry, Genie AI in Databricks , and other Azure-native services for generative AI use cases. Collaborate with cross-functional teams to identify AI opportunities and deliver impactful solutions. Continuously explore, test, and implement new algorithms, tools, and frameworks to improve model accuracy and performance. Communicate findings and recommendations effectively to both technical and non-technical stakeholders. Take ownership and accountability for end-to-end project delivery, from data exploration to production deployment. Required Skills & Qualifications Proven hands-on experience in Azure Machine Learning, Azure AI services, and Databricks . Strong background in NLP, NLG, LLMs, and generative AI frameworks . Experience with unstructured data pipelines and feature engineering. Proficiency in Python, PySpark, and ML libraries (TensorFlow, PyTorch, Hugging Face, etc.). Practical experience with Copilot Studio, AI Foundry, Genie AI in Databricks is highly desirable. Strong problem-solving, analytical, and innovation skills. Excellent communication and storytelling ability to present AI solutions to stakeholders. Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field. Preferred Qualifications Experience in building and deploying enterprise-grade AI solutions in cloud-native environments. Prior exposure to GenAI-based copilots, conversational AI, or knowledge assistants . Familiarity with MLOps frameworks for productionizing AI models. Show more Show less

## Essential Duties - Design and execute machine learning experiments to evaluate emerging AI technologies and frameworks. - Prototype and assess end-to-end AI solutions to inform product and platform strategy. - Formulate hypotheses and conduct structured evaluations to compare technical approaches. - Apply modern ML engineering practices to build and test scalable, modular proof-of-concept systems. - Contribute to the definition of best practices for experimentation, evaluation, and technical decision-making. - Synthesize and communicate experimental results to guide investment and adoption decisions. - Translate new research ideas and tools into functional, decision-relevant demonstrations. - Operate independently while contributing to a highly collaborative team environment. - Communicate technical findings clearly and concisely to both technical and non-technical audiences. ## Minimum Qualifications - Bachelors degree in computer science, data science, information technology, statistics, economics, or a related STEM field. - 3+ years of experience building machine learning-powered applications or tooling. - Strong proficiency in Python and familiarity with modern ML/AI libraries (e.g., PyTorch, Hugging Face, OpenAI SDKs). - Experience working with LLM orchestration or agent frameworks. - Understanding of model tuning, prompt engineering, or retrieval-augmented generation (RAG) patterns. - Experience developing and deploying applications in cloud environments (e.g., AWS, GCP, or Azure), including use of Docker and/or Kubernetes. - Demonstrated ability to independently prototype, test, and iterate on technical ideas. - Familiarity with ML evaluation techniques and structured experimentation workflows. - Proficiency with version control systems, CI/CD practices, and ML observability tools. Show more Show less

Senior Data Scientist Location : Bangalore Mode: Hybrid Job Description We are seeking highly skilled and innovative Data Scientists with strong expertise in Azure AI and ML to join our team. The ideal candidates will bring deep experience in building and deploying advanced machine learning and AI models, particularly working with unstructured data, NLP, and generative AI solutions. You will play a key role in designing, experimenting, and delivering AI-driven capabilities that unlock business value and innovation. Key Responsibilities: Design, develop, and deploy ML and AI models on the Azure ecosystem. Work extensively with unstructured data sets (text, images, documents, etc.) to extract insights and build scalable solutions. Apply advanced Natural Language Processing (NLP) and Natural Language Generation (NLG) techniques to solve business problems. Leverage Copilot Studio, AI Foundry, Genie AI in Databricks, and other Azure-native services for generative AI use cases. Collaborate with cross-functional teams to identify AI opportunities and deliver impactful solutions. Continuously explore, test, and implement new algorithms, tools, and frameworks to improve model accuracy and performance. Communicate findings and recommendations effectively to both technical and non-technical stakeholders. Take ownership and accountability for end-to-end project delivery, from data exploration to production deployment. Required Skills & Qualifications Proven hands-on experience in Azure Machine Learning, Azure AI services, and Databricks. Strong background in NLP, NLG, LLMs, and generative AI frameworks. Experience with unstructured data pipelines and feature engineering. Proficiency in Python, PySpark, and ML libraries (TensorFlow, PyTorch, Hugging Face, etc.). Practical experience with Copilot Studio, AI Foundry, Genie AI in Databricks is highly desirable. Strong problem-solving, analytical, and innovation skills. Excellent communication and storytelling ability to present AI solutions to stakeholders. Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field. Preferred Qualifications Experience in building and deploying enterprise-grade AI solutions in cloud-native environments. Prior exposure to GenAI-based copilots, conversational AI, or knowledge assistants. Familiarity with MLOps frameworks for productionizing AI models. Show more Show less