Hi, Hope all doing well!! Here I am sharing Job opportunity for AI Developer to one of my client. If any one interested please share cvs at pravallika.chitikela@pisquaretech.com Job description Key Responsibilities: Design, develop, and deploy AI-powered agents and intelligent automation solutions. Work extensively with LLMs, NLP, ML/DL frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers). Integrate AI solutions into enterprise systems and business processes using APIs and RPA tools (e.g., UiPath, Automation Anywhere). Fine-tune and optimize pre-trained AI models for specific use cases with a focus on scalability, accuracy, and performance . Collaborate with cross-functional teams including Product, Data Engineering, DevOps, and Business Stakeholders. Stay up to date with emerging AI trends and technologies and apply them to solve real-world problems. Build and maintain high-quality documentation and testing procedures for AI solutions. Required Skills and Qualifications: 6+years of proven experience in AI development and implementation. Strong hands-on experience with: LLMs (e.g., GPT, BERT, LLaMA) ML/DL frameworks such as TensorFlow, PyTorch, Scikit-learn NLP techniques like text classification, entity recognition, summarization RPA tools and their integration with AI Experience in designing and deploying AI-powered automation solutions . Deep understanding of model fine-tuning , prompt engineering, and inference optimization. Proficiency in programming languages such as Python (must-have), and optionally Java or C++. Strong problem-solving, communication, and cross-functional collaboration skills. Regards Pravallika

Job Summary: We are seeking a highly skilled and innovative Data Scientist to join our team and drive data-centric initiatives by leveraging AI/ML models , Big Data technologies , and cloud platforms like AWS . The ideal candidate will be proficient in Python , experienced in designing end-to-end machine learning pipelines, and comfortable working with large-scale data systems. Key Responsibilities: Design, develop, and deploy machine learning models and AI-based solutions for business problems. Build robust ETL pipelines to process structured and unstructured data using tools like PySpark , Airflow , or Glue . Work with AWS cloud services (e.g., S3, Lambda, SageMaker, Redshift, EMR) to build scalable data science solutions. Perform exploratory data analysis (EDA) and statistical modeling to uncover actionable insights. Collaborate with data engineers, product managers, and stakeholders to identify use cases and deliver impactful data-driven solutions. Optimize model performance and ensure model explainability, fairness, and reproducibility. Maintain and improve existing data science solutions through MLOps practices (e.g., model monitoring, retraining, CI/CD for ML). Required Skills and Qualifications: Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or related field. 3+ years of experience in data science or machine learning roles. Strong programming skills in Python and experience with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch . Show more Show less

Position: AI Intern Location: On-site – Noida Duration: 6 months Stipend: INR 15000 per month Open positions: 2 About the Role: We’re looking for an enthusiastic and curious AI Intern to join our team and support real-world applications of artificial intelligence and machine learning. You’ll work on practical tasks like model training, data preprocessing, and automation — all under the guidance of experienced engineers. This is a hands-on learning opportunity designed for someone who wants to explore AI beyond textbooks and build something meaningful. Key Responsibilities: Assist in data collection, cleaning, labeling, and preparation for model training Support basic model development or improvement (e.g., regression, classification, recommendation) Help integrate ML models with applications through simple APIs or scripts Run tests and evaluations to track model performance and suggest improvements Document workflows, results, and observations clearly Stay updated with relevant AI/ML trends and tools Ideal Candidate Should Have: Currently pursuing/completed a degree in Computer Science, Engineering, Mathematics, or a related field Basic understanding of Python and libraries like Pandas, NumPy, Scikit-learn, or TensorFlow/PyTorch Familiarity with concepts like data preprocessing, supervised learning, or NLP Logical thinking, attention to detail, and a willingness to learn Good communication skills and ability to work in a team What You’ll Gain: Real-world experience with production-level AI workflows Mentorship from experienced developers and data scientists Exposure to tools like Git, Jupyter, cloud platforms (if applicable) Opportunity to contribute to live projects or POCs Internship certificate and possible full-time opportunity based on performance To Apply: Apply on the job post listed on LinkedIn. Show more Show less

Position: AI/ML Engineer (VFX Workflow & Infrastructure) Location: Hyderabad, India Role Overview The AI/ML Engineer will spearhead the development and integration of artificial intelligence and machine learning solutions into our VFX production pipeline. You’ll work closely with pipeline developers, production managers, and creative teams to reimagine workflows, automate repetitive tasks, and push the boundaries of innovation in photorealistic rendering, stylized animation, and other CGI processes. This role combines deep technical expertise with a strong understanding of the demands of a fast-paced VFX/animation studio. Key Responsibilities AI Strategy & Roadmap: Develop and maintain a strategic plan for implementing AI/ML across the VFX pipeline—covering data wrangling, rendering, asset management, animation, and post-production. Identify new approaches to innovate current workflows to increase efficiency and cut down on time. Algorithm & Model Development: Research, design, and implement ML models (e.g., computer vision, generative models, style transfer) that improve artist efficiency, production speed, enhance image quality, or enable new creative possibilities. Optimize models for performance on local GPU/CPU clusters or cloud-based infrastructures. Pipeline Integration & Automation: Collaborate with pipeline engineers to seamlessly integrate AI agents or tools into existing software stacks (e.g., Maya, Houdini, Nuke), ensuring minimal disruption to artists’ workflows. Develop automated solutions for tasks like rotoscoping, clean-up, crowd simulation, environment generation, or facial capture/animation. Infrastructure & Tooling: Architect and maintain robust data pipelines, ensuring the secure collection and organization of high-quality datasets for training AI models. Evaluate and deploy containerization/MLOps tools (Docker, Kubernetes, MLflow, etc.) for scalable model training, inference, and monitoring. Performance Optimization: Profile model performance, memory usage, and render times; implement optimizations in frameworks such as TensorFlow, PyTorch, or custom GPU pipelines. Work with DevOps/IT teams to configure and manage dedicated GPU farms or cloud compute resources. Research & Development: Stay updated with state-of-the-art ML/DL techniques, particularly in generative AI, computer vision, and real-time rendering. Introduce emerging methods (e.g., stable diffusion, large language models, neural rendering) to innovate new production techniques. Documentation & Reporting: Create clear technical documentation for AI solutions, ensuring maintainability and scalability. Present progress, insights, and ROI to executive leadership, project stakeholders, and cross-functional teams. Qualifications & Skills Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field. A PhD is a bonus but not mandatory. 5+ years of professional experience in applied machine learning or data science, with at least 2 years in a lead/managerial role. Previous experience in VFX, animation, gaming, or related entertainment industries is a bonus. Programming: Expert-level Python (C++ is a plus). ML Frameworks: Deep understanding of TensorFlow, PyTorch, scikit-learn, or similar libraries. Computer Vision & Generative Models: Familiarity with CNNs, GANs, autoencoders, stable diffusion, or neural radiance fields. Pipeline Tools: Experience with integration in VFX software (Maya, Houdini, Nuke) and plugin APIs.[Optional] DevOps & MLOps: Comfortable with containerization (Docker), orchestration (Kubernetes), CI/CD, and cloud platforms (AWS, Azure, GCP). Proven track record of translating production challenges into AI/ML solutions that deliver measurable efficiency gains or cost savings. Experience with model optimization (quantization, pruning) and GPU/CPU performance tuning. Collaboration: Excellent communication to bridge technical and creative teams, explaining complex concepts in clear, accessible language. Leadership: Ability to mentor junior engineers and foster a culture of experimentation and continuous learning. Agility: Adapts quickly to evolving project needs, production pipelines, and new AI techniques. A genuine interest in cinema, animation, or gaming—a plus if you have prior knowledge of the Baahubali IP or similar large-scale IPs. Creativity in applying AI to artistic challenges, from photorealistic digital humans to stylized animated sequences. What We Offer Impactful Role: Shape the future of VFX and animation filmmaking and leave a lasting mark on flagship studio projects. Career Growth: Lead a growing AI team, collaborate with top-tier VFX artists, and gain exposure to cutting-edge tech. Competitive Compensation: Salary, benefits, and potential for performance-based bonuses. Innovative Environment: Access to advanced hardware, robust R&D budget, and the opportunity to experiment with emerging AI trends. Show more Show less

Greetings from TCS. TCS is Hiring For AI Engineer Experience: 9-14 years Relevant Experience: 9-14 years WORK Location: PAN India Job Description- Must Have 9- 14 years of IT experience Strong programming skills in Python Expertise in machine learning is a must. In depth knowledge of various machine learning models and techniques; deep learning, supervised and unsupervised learning, natural language processing, and reinforcement learning. Expertise in data analysis and visualization to extract insights from large datasets and transmit them virtually. Good knowledge on data mining, statistical methods, data wrangling, and visualization tools like Power BI, Tableau and matplotlib. Hands on skills in Data Manipulation Language. Expertise in various machine learning frameworks - TensorFlow, Scikit-Learn and PyTorch. Good to Have - Gen AI Certification Experience in Containers (Docker), Kubernetes, Kafka (or other messaging platform), Apache Camel, RabbitMQ, Active MQ, Storage / RDBMS and No-SQL databases etc.. Show more Show less

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Software Engineer II - AI/ML Engineer The EA Digital Platform (EADP) group is the core powering the global EA ecosystem. We provide the foundation for all of EA’s incredible games and player experiences with high-level platforms like Cloud, Commerce, Data and AI, Gameplay Services, Identity and Social. By providing reusable capabilities that game teams can easily integrate into their work, we let them focus on making some of the best games in the world and creating meaningful relationships with our players. We’re behind the curtain, making it all work together. Come power the future of play with us. The Challenge Ahead We are looking for developers who want to work on a large-scale distributed data system that empowers EA Games to personalize player experience and engagement. Responsibilities You will help with designing, implementing and optimizing the infrastructure for AI model training and deployment platform You will help with integrating AI capabilities into existing software systems and applications You will develop tools and systems to monitor the performance of the platform in real-time, analyzing key metrics, and proactively identify and address any issues or opportunities for improvement. You will participate in code reviews to maintain code quality and ensure best practices You will help with feature and operation enhancement for platform under senior guidance You will help with improving the stability and observability of the platform Qualifications Bachelor's degree or foreign degree equivalent in Computer Science, Electrical Engineering, or related field. 3+ years of experience with software development and model development Experience with a programming language such as Go, Java or Scala Experience with scripting languages such as bash, awk, python Experience with Scikit-Learn, Pandas, Matplotlib 3+ years of experience with Deep Learning frameworks like PyTorch, TensorFlow, CUDA Hands-on experience of any ML Platform (Sagemaker, Azure ML, GCP Vertex AI) Experience with cloud services and modern data technologies Experience with data streaming and processing systems About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law. Show more Show less

We are an award-winning multinational professional legal services firm that provides enterprise legal solutions to global corporations and law firms located on four continents. Our unique services include review, management, and analysis for document-intensive legal matters. We use world-class process management, quality control, and technologies that enable us to deliver measurably better services and results for our clients. We are seeking an energetic, goal-oriented, and intellectually curious Generative AI professional with 4 - 9 years of experience who is interested in working collaboratively with our clients and team members. You will be part of a global team that supports an approximately 350-user group. Responsibilities Designing, developing, and deploying Generative AI models to solve business challenges. Training and fine-tuning AI systems, including custom language models and generative models. Leveraging cloud platforms (Azure) to scale and deploy AI solutions effectively. Collaborating with cross-functional teams to integrate AI functionalities into applications. Staying updated on AI advancements and incorporating innovative solutions into the firm's operations. Documenting processes, models, and solutions. Technical Skills Minimum 3 years of experience with Generative AI frameworks and tools (e.g., AI Foundry, Copilot Agents, Azure Assistant and OpenAI). Proficiency in machine learning and AI development, including fine-tuning large language models (Claude LLMs). Strong knowledge of Python and its AI/ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn). Experience with Azure AI services, including Azure OpenAI or Cognitive Services. Hands-on experience in web application development (REST APIs, HTTP, web services). Knowledge of modern JavaScript frameworks like React, TypeScript, or Blazor is a plus. Experience with containerisation tools like Docker and version control systems like Azure DevOps. Microsoft Certifications (e.g., Azure AI Engineer) are a plus. Qualifications Bachelor's degree in Computer Science, AI, Data Science, or a related field. A passion for innovation and staying updated on the latest trends in AI and machine learning. Good problem solving skills and a collaborative mindset with the ability to work in a diverse and dynamic team environment. Our culture empowers our team members with respect, autonomy, transparency, and opportunity in a growth-oriented environment. We are an equal-opportunity employer fostering an inclusive and supportive culture. Show more Show less

GEN AI Architect Job Summary: We are seeking a highly skilled and experienced GEN AI Architect to lead the design, development, and deployment of generative AI solutions. The ideal candidate will have a strong background in artificial intelligence, machine learning, and deep learning, with a proven track record in building and implementing AI models and systems. This role requires a strategic thinker who can align AI initiatives with business goals and drive innovation across the organization. Key Responsibilities: Architecture Design : Design and develop scalable, robust, and secure AI architectures for various applications, ensuring alignment with business objectives. Model Development : Lead the development and optimization of generative AI models, including but not limited to natural language processing (NLP), computer vision, and generative adversarial networks (GANs). Technology Strategy : Develop and implement AI strategies that leverage the latest advancements in generative AI technologies to drive business value. Project Management : Oversee AI projects from conception to deployment, ensuring timely delivery and integration with existing systems. Collaboration : Work closely with data scientists, engineers, and business stakeholders to identify AI opportunities and translate them into technical solutions. Research and Innovation : Stay up-to-date with the latest research and trends in generative AI, and apply new findings to enhance existing models and develop new applications. Mentorship : Provide guidance and mentorship to junior AI engineers and data scientists, fostering a culture of learning and innovation within the team. Performance Monitoring : Establish metrics and processes to monitor the performance and effectiveness of AI models, ensuring continuous improvement and optimization. Compliance and Ethics : Ensure AI solutions comply with relevant regulations and ethical standards, maintaining transparency and accountability in AI decision-making. Qualifications: Education : Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience : Minimum of 12-16 years of experience in AI and machine learning, with at least 3 years in a leadership or architect role. Technical Skills : Proficiency in programming languages such as Python, Java Extensive experience with machine learning frameworks (Langchain,TensorFlow, PyTorch, Keras) and AI tools (OpenAI GPT, DALL-E, etc.). Strong understanding of deep learning techniques, including CNNs, RNNs, and GANs. Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes). Analytical Skills : Strong problem-solving skills with the ability to analyze complex data sets and extract meaningful insights. Communication Skills : Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders. Leadership Skills : Proven ability to lead and inspire a team, driving innovation and achieving business objectives. Show more Show less

Roles & Responsibilities Job Description: Data Scientist Expertise in Data Science & AI/ML: 3-8 years experience designing, developing, and deploying scalable AI/ML solutions for Big Data, with proficiency in Python, SQL, TensorFlow, PyTorch, Scikit-learn, and Big Data ML libraries (e.g., Spark MLlib). Cloud Proficiency: Proven experience with cloud-based Big Data services (GCP preferred, AWS/Azure a plus) for AI/ML model deployment and Big Data pipelines.; understanding of data modeling, warehousing, and ETL in Big Data contexts. Analytical & Communication Skills: Ability to extract actionable insights from large datasets, apply statistical methods, and effectively communicate complex findings to both technical and non-technical audiences (visualization skills a plus). Educational Background: Bachelor's or Master's degree in a quantitative field (Computer Science, Data Science, Engineering, Statistics, Mathematics). Experience 3-4.5 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, Data Science, SQL, TensorFlow, Pytorch About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

🚀 Job Title: AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

About Praella: We are a proud Great Place to Work certified organization. We strive for excellence, and we chase perfection for our merchants and team. We build relationships with our merchants that are not reflective of a vendor-like or even a partner-like relationship. We strive to become an extension of who our merchants are. And we strive to become a reflection of our team as an organization. We are also a Webby-winning agency. We are a Shopify Plus partner. We are grateful to be an extension of some of the best e-commerce brands. We are a merchant-first, results-driven team. We have the nothing is impossible mentality. We work together and support each other and our clients. Collaboration and camaraderie are everything. We are data-driven, ambitious, and creative - we work hard, and we work smart. - Our founders started one of the first Shopify Plus agencies, which was eventually sold. - We are Shopify Plus Partners and partner with other e-commerce leaders like ReCharge, Klaviyo, Omnisend, Yotpo, Smile, etc. - We have a remote team, but our headquarters is in Chicago. We have a small team in Chicago. Outside of Chicago, we have teams located in Atlanta, Los Angeles, Phoenix, New York, Toronto, Athens (Greece), Sarajevo (Bosnia), and Surat (India). - Do you want to work from Europe or India for a month and travel to nearby destinations on long weekends? Why not? - Majority of our clients are e-commerce-based merchants with annual revenue between $2M-$350MM. We are ambitious. And, we want you to be too. We need people that want to be pushed and who want to be challenged. We want people who will push us and who will challenge us. Is that you? Our Website : http://praella.com/ Job Description of AI Engineer Praella is looking for an experienced AI Engineer for which the required details are mentioned below. Objectives of this Role: As an AI Engineer (Model Development & Deployment), you will be the core driver in transforming product and business concepts into impactful, data-driven AI applications. Your role will bridge the gap between innovative ideas and tangible AI solutions, encompassing the entire lifecycle from model development to real-world deployment. You will be instrumental in ensuring that AI initiatives deliver significant value and are seamlessly integrated into our products. About the Role: Lead AI Development: Translate product and business ideas into well-defined AI/ML problem statements and robust model architectures. Innovate and Build: Develop custom AI/ML models from scratch and fine-tune existing architectures (LLMs, transformers, CNNs, etc.) to address specific challenges. Data Mastery: Collect, clean, analyze, and structure diverse data sets for effective model training and evaluation. Deploy and Optimize: Build scalable AI services/APIs and deploy optimized models into production environments, ensuring performance and reliability. Communicate and Educate: Collaborate with stakeholders and product teams to explain AI concepts, potential, and integration strategies. Drive AI Innovation: Stay at the forefront of AI advancements, contributing to brainstorming sessions and fostering an AI-first approach in product development. What you can bring to the table: You are passionate about AI and eager to apply your expertise to create real-world impact. While comprehensive knowledge is valuable, a strong learning aptitude will ensure rapid growth within our dynamic environment. Skills: Strong programming skills in Python with proficiency in TensorFlow, PyTorch, or similar frameworks. Solid understanding of various AI/ML model architectures (LLMs, NLP, CV, classification/regression). Experience with end-to-end AI system development, from data ingestion to model serving. Familiarity with tools like Docker, FastAPI, Hugging Face, LangChain, or related ecosystems. Strong data analysis and problem-solving abilities. Excellent communication skills, capable of explaining complex technical concepts to non-technical audiences. Ability to work effectively in a collaborative, fast-paced environment. Strong organizational skills and attention to detail. Strong analytics skills with focus on data mining, dashboard outlining. Ability to manage multiple tasks and meet deadlines. Proficient in project coordination and reporting. Excellent written and verbal communication skills in English. Strong time management and multitasking skills. Work Experience : 3–5 years of hands-on experience in AI/ML model development, training, and deployment. Qualification : Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field. Location: Surat, Gujarat Nice to Have: Experience with open-source LLMs like Mistral, LLaMA, Falcon, and fine-tuning techniques (LoRA/QLoRA). Prior experience with Chatbot applications, Recommender Systems, or Predictive Analytics. Familiarity with cloud platforms (AWS/GCP/Azure) for AI model deployment. Life At Praella Private Limited Benefits and Perks 5 days working Fully Paid Basic Life/ Competitive salary Vibrant Workplace PTO/Paid Offs/Annual Paid Leaves/Paternal Leaves Fully Paid Health Insurance. Quarterly Incentives Rewards & Recognitions Team Outings Our Cultural Attributes Growth mindset People come first Customer obsessed Diverse & inclusive Exceptional quality Push the envelope Learn and grow Equal opportunity to grow. Ownership Transparency Team Work. Together, we can…!!!! Show more Show less

Work Experience : 3+ years Salary: 21 LPA Location: Bengaluru Title : MLops Engineer Team Charter: The team in India comes with multi-disciplinary skillset, including but not limited to the following areas: Develop models and algorithms using Deep Learning and Computer Vision on the captured data to provide meaningful analysis to our customers. Some of the projects include – object detection, OCR, barcode scanning, stereovision, SLAM, 3D-reconstruction, action recognition etc. Develop integrated embedded systems for our drones – including embedded system platform development, camera and sensor integration, flight controller and motor control system development, etc. Architect and develop full stack software to interface between our solution and customer database and access – including database development, API development, UI/UX, storage, security and processing for data acquired by the drone. Integration and testing of various off the shelf sensors and other modules with drone and related software. Design algorithms related to autonomy and flight controls. Responsibilities: As a Machine Learning Ops (MLOps) engineer, you will be responsible for building and maintaining the next generation of Vimaan’s ML Platform and Infrastructure. MLOps will have a major contribution in making CV & ML offerings scalable across the company products. We are building all these data & model pipelines to scale Vimaan operations and MLOps Engineer will play a key role in enabling that. You will lead initiatives geared towards making the Computer Vision Engineers at Vimaan more productive. You will setup the infrastructure that powers the ML teams, thus simplifying the development and deployment cycles of ML models. You will help establish best practices for the ML pipeline and partner with other infrastructure ops teams to help champion them across the company. Build and maintain data pipelines - data ingestion, filtering, generating pre-populated annotations, etc. Build and maintain model pipelines - model monitoring, automated triggering of model (re)training, auto-deployment of models to producti on servers and edge devices. Own the cloud stack which comprises all ML resources. Establish standards and practices around MLOps, including governance, compliance, and data security. Collaborate on managing ML infrastructure costs. Qualifications: Deep quantitative/programming background with degree (Bachelors, Masters or Ph.D.) in a highly analytical discipline, like Statistics, Electrical,Electronics, Computer Science, Mathematics, Operations Research, etc. A minimum of 3 years of experience in managing machine learning projects end-to-end focused on MLOps. Experience with building RESTful APIs for monitoring build & production systems using automated monitoring of models and corresponding alarm tools. Experience with data versioning tools such as Data Version Control (DVC). Build and maintain data pipelines by using tools like Dagster, Airflow etc. Experience with containerizing and deploying ML models. Hands-on experience with autoML tools, experiment tracking, model management, version tracking & model training (MLflow, W&B, Neptune etc.), model hyperparameter optimization, model evaluation, and visualization (Tensorboard). Sound knowledge and experience with atleast one DL frameworks such as PyTorch, TensorFlow, Keras. Experience with container technologies (Docker, Kubernetes etc). Experience with cloud services. Working knowledge of SQL based databases. Hands on experience with Python scientific computing stack such as numpy, scipy, scikit-learn Familiarity with Linux and git. Detail oriented design, code debugging and problem-solving skills. Effective communication skills: discussing with peers and driving logic driven conclusions. Ability to perspicuously communicate complex technical/architectural problems and propose solutions for the same. How to stand out Prior experience in deploying ML & DL solutions as services Experience with multiple cloud services. Ability to collaborate effectively across functions in a fast-paced environment. Experience with technical documentation and presentation for effective dissemination of work. Engineering experience in distributed systems and data infrastructure. Show more Show less

What you will enjoy doing • You will develop, train, test and deploy machine learning models in various fields such as computer vision, LLMs, tabular and time series data. • Experimenting with novel deep learning based technologies such as self-supervised learning and generative AI will also be part of your tasks • You will support in setting up the MLOps infrastructure for existing and new AI products • Additionally you will work directly with customer data and set up data pipelines to collect, curate, transform and version data. You'll be working in the Artificial Intelligence team, Linde's AI global corporate division engaged with real business challenges and opportunities in multiple countries. Focus of this role is to support the AI team with extending existing and building new AI products for a vast amount of uses cases across Linde’s business and value chain. You'll collaborate across different business and corporate functions in international team composed of Project Managers, Data Scientists, Data and Software Engineers in the AI team and others in the Linde's Global AI team. As a Machine Learning Enginee, you will be working closely with our global AI team to create and implement sustainable AI models, algorithms, and software solutions for our global industrial gases and engineering services operations. You will participate in the collection, analysis, interpretation, and output of large amounts of data using advanced AI techniques like deep learning, NLP, and computer vision. What Makes You Great • You have a Bachelor or Masters Degree in Data Science, Computational Statistics/Mathematics, Computer Science or related field • You know the basics of neural networks and have an initial practical experience with deep learning frameworks like PyTorch and Tensorflow. • You have experience in backend and API development with Python (FastAPI, Flask) or similar • You demonstrate knowledge of and basic practical experience with Object Oriented Programming, design patterns, algorithms and data structures, version control systems (e.g. Git) • Having basic experience with cloud platforms (e.g. Azure), Docker and Kubernetes is a plus • Fluent English Why You Will Love Working With Us At Linde, you will have the opportunity to think outside the box, work on innovative topics, and deliver impactful solutions to our internal customers. You’ll be part of a team that values inclusivity, fosters creativity, and welcomes diverse perspectives, making Linde an employer of choice. We act responsibly towards our shareholders, business partners, employees, society, and the environment. Linde is committed to technologies and products that combine customer value with sustainable development. What We Offer You In addition to an attractive compensation package, we offer flexible working hours and various benefits to support your professional and personal development. Our culture values work-life balance, helping you to combine career ambitions with family commitments. Show more Show less

🤖 Machine Learning Intern (Remote) 🌐 🔍 Are you passionate about AI, algorithms, and building models that learn and evolve? Ready to kickstart your machine learning journey from anywhere in the world? This is your chance! 📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours 🌟 About the Role: We’re looking for a curious and driven Machine Learning Intern to join our remote team! This internship is perfect for students or recent graduates eager to gain hands-on experience with machine learning techniques, data processing, and model development. You’ll work on real datasets, build and test machine learning models, and help bring AI-powered solutions to life — all while collaborating in a flexible, remote environment. 🚀 What You’ll Gain: ✅ 100% Remote – Work from anywhere 🌍 ✅ Flexible Hours – Learn and contribute on your schedule ⏰ ✅ Real-World Projects – Apply ML concepts to practical problems 📊 ✅ Skill Building – Develop Python, TensorFlow, scikit-learn, and more 🛠️ ✅ Mentorship – Learn from experienced data scientists and engineers 👥 👀 Ideal Candidate: 🎓 Currently studying or recently graduated in Computer Science, Data Science, AI, or related fields 🧠 Strong understanding of machine learning fundamentals and algorithms 🛠️ Experience with Python and ML libraries like TensorFlow, PyTorch, or scikit-learn 📈 Passionate about AI and eager to learn and grow 💬 Self-motivated and comfortable working independently in a remote setting 📅 Apply By: June 15th Excited to start your career in machine learning and build impactful AI solutions? We’d love to hear from you! Let’s innovate and solve problems with machine learning — together! 🤖📈💡 Show more Show less

Education: Bachelor’s or master’s in computer science, Software Engineering, or a related field (or equivalent practical experience). Hands-On ML/AI Experience: Proven record of deploying, fine-tuning, or integrating large-scale NLP models or other advanced ML solutions. Programming & Frameworks: Strong proficiency in Python (PyTorch or TensorFlow) and familiarity with MLOps tools (e.g., Airflow, MLflow, Docker). Security & Compliance: Understanding of data privacy frameworks, encryption, and secure data handling practices, especially for sensitive internal documents. DevOps Knowledge: Comfortable setting up continuous integration/continuous delivery (CI/CD) pipelines, container orchestration (Kubernetes), and version control (Git). Collaborative Mindset: Experience working cross-functionally with technical and non-technical teams; ability to clearly communicate complex AI concepts. Role Overview Collaborate with cross-functional teams to build AI-driven applications for improved productivity and reporting. Lead integrations with hosted AI solutions (ChatGPT, Claude, Grok) for immediate functionality without transmitting sensitive data while laying the groundwork for a robust in-house AI infrastructure. Develop and maintain on-premises large language model (LLM) solutions (e.g. Llama) to ensure data privacy and secure intellectual property. Key Responsibilities LLM Pipeline Ownership: Set up, fine-tune, and deploy on-prem LLMs; manage data ingestion, cleaning, and maintenance for domain-specific knowledge bases. Data Governance & Security: Assist our IT department to implement role-based access controls, encryption protocols, and best practices to protect sensitive engineering data. Infrastructure & Tooling: Oversee hardware/server configurations (or cloud alternatives) for AI workloads; evaluate resource usage and optimize model performance. Software Development: Build and maintain internal AI-driven applications and services (e.g., automated report generation, advanced analytics, RAG interfaces, as well as custom desktop applications). Integration & Automation: Collaborate with project managers and domain experts to automate routine deliverables (reports, proposals, calculations) and speed up existing workflows. Best Practices & Documentation: Define coding standards, maintain technical documentation, and champion CI/CD and DevOps practices for AI software. Team Support & Training: Provide guidance to data analysts and junior developers on AI tool usage, ensuring alignment with internal policies and limiting model “hallucinations.” Performance Monitoring: Track AI system metrics (speed, accuracy, utilization) and implement updates or retraining as necessary. Job Types: Full-time, Permanent Pay: ₹80,000.00 - ₹90,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Yearly bonus Work Location: In person Application Deadline: 30/06/2025 Expected Start Date: 30/06/2025

Develop and implement AI and machine learning strategies for several healthcare domains Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Qualifications - External - Undergraduate degree or equivalent experience. •5+ years of experience working with Python, AI •4+ years of experience with SQL Server, MYSQL, Oracle or other comparable RDMS database system •2+ years of experience with APIs / micro-services •2+ years of experience with CI/CD tools like Jenkins, GitHub Actions •1+ years of experience with code scanning and security tools for code vulnerability, code quality, secret scanning, penetration testing and threat modeling Preferred Qualifications: •Bachelor’s degree in computer science or related field •Experience with unit testing frameworks •Experience with version control systems like Git/GitHub •Proven ability to do POC on emerging tech-stack •Experience with Linux or Unix platform •Experience with RabbitMQ •Experience with Redis •Proven ability to independently troubleshoot problems and document RCAs •Experience with event steaming platforms such as Kafka Show more Show less

Location: Navi Mumbai (On-site) Company: Arcitech.ai About Arcitech.ai Arcitech.ai is building next-generation, AI-integrated, cloud-native platforms across education, recruitment, and marketplaces. With a strong focus on real-world scalability and innovation, we create intelligent systems that redefine automation and human-machine interaction. Role Overview We're hiring a Software Developer who excels in Django , Python, AIML and modern backend development. If you're passionate about Django, AI agents, scalable architectures, and cutting-edge tools like LangChain and Pinecone, this is your opportunity to make a direct product impact. Key Responsibilities Design and develop robust, testable, and scalable backend systems using Python And Django. Build and manage RESTful and GraphQL APIs adhering to modern standards and security protocols. Architect and deploy AI agents and retrieval-augmented generation (RAG) workflows using LangChain or similar libraries. Integrate vector databases such as Pinecone, FAISS, or Weaviate for embedding-based search and memory. Enable real-time functionality using WebSockets or Django Channels. Implement asynchronous task queues using Celery with retry logic, schedules, and monitoring. Containerize services with Docker and collaborate on Kubernetes deployments. Integrate third-party services including Stripe, Razorpay, and event-driven webhooks. Work with AWS (EC2, S3, RDS, CloudWatch) for cloud deployments and infrastructure management. Write and maintain automated tests using pytest or unittest with ≥80% code coverage. Follow CI/CD pipelines, Git best practices, and engage in detailed code reviews. Contribute to technical documentation, team knowledge-sharing, and cross-functional collaboration. AI & ML Focus - Must-Have Experience building AI agents and tools using LangChain, Python, or other LLM orchestration frameworks. Understanding of prompt chaining, embedding models, and RAG-based systems. Hands-on with vector databases like Pinecone, FAISS, or Weaviate. Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 2-5 years of experience developing backend applications using Python. Must have strong hands-on experience with Django. Solid knowledge of REST APIs, GraphQL, webhooks, and Python libraries (requests, datetime, etc.). Working experience with Docker, AWS, and CI/CD pipelines. Proficiency in test-driven development with tools like pytest/unittest. Nice to Have Experience with FastAPI, or Flask. Exposure to TensorFlow, PyTorch, or Keras for ML development. Background in data analysis, math, or statistics. Contributions to open-source Python or AI/ML projects. Why Join Us? Competitive compensation and performance-based rewards Work on transformative, AI-first product architectures Continuous learning, innovation grants & mentorship Ownership-driven, collaborative engineering culture Show more Show less

Who we are We're a leading, global security authority that's disrupting our own category. Our encryption is trusted by the major ecommerce brands, the world's largest companies, the major cloud providers, entire country financial systems, entire internets of things and even down to the little things like surgically embedded pacemakers. We help companies put trust - an abstract idea - to work. That's digital trust for the real world. Job summary We are seeking to hire a Software Engineering Manager based in our Bengaluru, India office. As a Software Engineering Manager, you will lead a team of software engineers to design, develop, test, and deliver high-quality software solutions. This role requires a balance of technical expertise, leadership skills, and project management capabilities to ensure the successful execution of software development projects. What you will do Lead, mentor, and motivate a team of software engineers. Foster a positive and collaborative team culture. Provide guidance on technical issues and contribute to skill development within the team. Collaborate with cross-functional teams to gather requirements and define technical solutions. Ensure the team follows best practices in software development, coding standards, and testing methodologies. Implement and enforce quality assurance processes to ensure the delivery of reliable and scalable software solutions. Stay updated on industry best practices and emerging technologies. Promote technical and operational achievement by developing measurements and methods for evaluation and advancement. Communicate effectively with stakeholders, including product managers, other engineering teams, and upper management. What you will have Bachelor’s degree in Computer Science, Software Engineering, or a related field. Proven experience (10+ years) in software development and team management. Proficiency in one or more programming languages (Java, Go, Python) and a strong grasp of software development principles. Knowledge of both relational (MySQL, MariaDB) and NoSQL/non-relational (Cassandra) databases. Familiarity with agile software-development methodology, such as Agile or Scrum. Preferred knowledge of PKI infrastructure. Preferred experience working with Cryptography API. Preferred experience with Git, JIRA, IDEs (Eclipse, MS Visual Studio). Nice to have Experience in GenAI product development, with a focus on RAG (Retrieval-Augmented Generation) techniques and exposure building and integrating AI agents. Experience in LLMs (GPT-4, LLaMA, etc.) Knowledge in TensorFlow, PyTorch, LangChain, OpenAI APIs, and NLP libraries. Experience developing and deploying AI applications including chatbots, virtual assistants and other NLP powered tools. Experience in Data analytics, Datawarehouse and Datalake tools. Experience with any of the cloud computing platforms (AWS, Azure, Google Cloud, Oracle OCI) is a plus. Develop, fine-tune and deploy LLM-based solutions. Benefits Generous time off policies Top shelf benefits Education, wellness and lifestyle support __PRESENT Show more Show less

About the Role We seek a hands-on Delivery Lead with 10–12 years of experience to own end-to-end execution of AI/ML projects, mentor technical teams, and collaborate with sales to scale our consulting solutions. Key Responsibilities 1. Project Delivery Own client-facing AI/ML projects from scoping to deployment, ensuring quality, timelines, and business impact. Guide teams on architecture, model design, and deployment (cloud/on-prem). 2. Team Leadership Lead and mentor data scientists/engineers, fostering skill growth and collaboration. Drive best practices in AI/ML (LLMs, MLOps, Agile). 3. Sales Collaboration Partner with sales to scope proposals, estimate efforts, and present technical solutions to clients. Must-Have Skills 10–12 years in AI/ML, with 5+ years leading teams in consulting/client delivery. Expertise in: AI/ML frameworks (TensorFlow, PyTorch, LLMs). Cloud platforms (AWS/Azure/GCP) and CI/CD pipelines. Python/R, data engineering (Spark, Kafka). Strong communication and client/stakeholder management. Good to Have Familiarity with MLOps (Docker, Kubernetes). Agile/Scrum certification. Qualifications Bachelor’s/Master’s in CS, Data Science, or related field. Certifications (e.g., AWS ML, Azure AI Engineer) are a plus. About Us Soothsayer Analytics is a global AI & Data Science consultancy headquartered in Detroit, with a thriving delivery center in Hyderabad. We design and deploy end-to-end custom Machine Learning solutions—spanning predictive analytics, optimization, NLP, and GenAI—that help leading enterprises forecast, automate, and gain a competitive edge. Join us to tackle high-impact, cross-industry projects where your ideas move rapidly from concept to production, shaping the future of data-driven decision-making. Show more Show less

Description We invite you to be part of a high-impact team that is shaping the future of pricing at Amazon. The Digital Pricing team is at the forefront of leveraging AI and machine learning to compute millions of prices across our digital products. We are looking for a Software Development Engineer to help design and build the next generation of our AI-powered pricing systems. As a SDE, You'll will develop cutting-edge pricing systems that process millions of prices daily. Our platform combines pricing strategies with advanced AI models, including Large Language Models (LLMs), GenAI and custom neural networks, to make real-time pricing decisions that directly impact our business and customers Basic Qualifications Bachelor's degree or equivalent 5+ years of non-internship professional software development experience 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design Experience with cloud computing platforms (preferably AWS) Solid understanding of data structures, algorithms, and software design principles Preferred Qualifications Experience with large language models (LLMs) Understanding of AI model optimisation techniques Familiarity with machine learning frameworks (PyTorch, TensorFlow) Experience with AI/ML deployment platforms (Amazon Q) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 15 SEZ Job ID: A3006457 Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 15 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities: - Expected to be a Subject Matter Expert with deep knowledge and experience. - Should have influencing and advisory skills. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities. - Mentor junior professionals to foster their growth and development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of cloud computing platforms and services. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI solutions. Additional Information: - The candidate should have minimum 15 years of experience in Large Language Models. - This position is based at our Kolkata office. - A 15 years full time education is required. 15 years full time education Show more Show less

Job Title: Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 12th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 12th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 12Th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

General Information Locations : Hyderabad, Telangana, India Role ID 209546 Worker Type Regular Employee Studio/Department CTO - EA Digital Platform Work Model Hybrid Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Software Engineer II - AI/ML Engineer The EA Digital Platform (EADP) group is the core powering the global EA ecosystem. We provide the foundation for all of EA’s incredible games and player experiences with high-level platforms like Cloud, Commerce, Data and AI, Gameplay Services, Identity and Social. By providing reusable capabilities that game teams can easily integrate into their work, we let them focus on making some of the best games in the world and creating meaningful relationships with our players. We’re behind the curtain, making it all work together. Come power the future of play with us. The Challenge Ahead: We are looking for developers who want to work on a large-scale distributed data system that empowers EA Games to personalize player experience and engagement. Responsibilities You will help with designing, implementing and optimizing the infrastructure for AI model training and deployment platform You will help with integrating AI capabilities into existing software systems and applications You will develop tools and systems to monitor the performance of the platform in real-time, analyzing key metrics, and proactively identify and address any issues or opportunities for improvement. You will participate in code reviews to maintain code quality and ensure best practices You will help with feature and operation enhancement for platform under senior guidance You will help with improving the stability and observability of the platform Qualifications Bachelor's degree or foreign degree equivalent in Computer Science, Electrical Engineering, or related field. 3+ years of experience with software development and model development Experience with a programming language such as Go, Java or Scala Experience with scripting languages such as bash, awk, python Experience with Scikit-Learn, Pandas, Matplotlib 3+ years of experience with Deep Learning frameworks like PyTorch, TensorFlow, CUDA Hands-on experience of any ML Platform (Sagemaker, Azure ML, GCP Vertex AI) Experience with cloud services and modern data technologies Experience with data streaming and processing systems About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Job details Employment Type: Full-Time Location: Pune, Maharashtra, India Job Category: Innovation & Technology Job Number: WD30240361 Job Description Job Title: ML Platform Engineer – AI & Data Platforms ML Platform Engineering & MLOps (Azure-Focused) Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and release automation. Operationalize LLMs and generative AI solutions (e.g., GPT, LLaMA, Claude) with a focus on automation, security, and scalability. Develop and manage infrastructure as code using Terraform, including provisioning compute clusters (e.g., Azure Kubernetes Service, Azure Machine Learning compute), storage, and networking. Implement robust model lifecycle management (versioning, monitoring, drift detection) with Azure-native MLOps components. Infrastructure & Cloud Architecture Design highly available and performant serving environments for LLM inference using Azure Kubernetes Service (AKS) and Azure Functions or App Services. Build and manage RAG pipelines using vector databases (e.g., Azure Cognitive Search, Redis, FAISS) and orchestrate with tools like LangChain or Semantic Kernel. Ensure security, logging, role-based access control (RBAC), and audit trails are implemented consistently across environments. Automation & CI/CD Pipelines Build reusable Azure DevOps pipelines for deploying ML assets (data pre-processing, model training, evaluation, and inference services). Use Terraform to automate provisioning of Azure resources, ensuring consistent and compliant environments for data science and engineering teams. Integrate automated testing, linting, monitoring, and rollback mechanisms into the ML deployment pipeline. Collaboration & Enablement Work closely with Data Scientists, Cloud Engineers, and Product Teams to deliver production-ready AI features. Contribute to solution architecture for real-time and batch AI use cases, including conversational AI, enterprise search, and summarization tools powered by LLMs. Provide technical guidance on cost optimization, scalability patterns, and high-availability ML deployments. Qualifications & Skills Required Experience Bachelor’s or Master’s in Computer Science, Engineering, or a related field. 5+ years of experience in ML engineering, MLOps, or platform engineering roles. Strong experience deploying machine learning models on Azure using Azure ML and Azure DevOps. Proven experience managing infrastructure as code with Terraform in production environments. Technical Proficiency Proficiency in Python (PyTorch, Transformers, LangChain) and Terraform, with scripting experience in Bash or PowerShell. Experience with Docker and Kubernetes, especially within Azure (AKS). Familiarity with CI/CD principles, model registry, and ML artifact management using Azure ML and Azure DevOps Pipelines. Working knowledge of vector databases, caching strategies, and scalable inference architectures. Soft Skills & Mindset Systems thinker who can design, implement, and improve robust, automated ML systems. Excellent communication and documentation skills—capable of bridging platform and data science teams. Strong problem-solving mindset with a focus on delivery, reliability, and business impact. Preferred Qualifications Experience with LLMOps, prompt orchestration frameworks (LangChain, Semantic Kernel), and open-weight model deployment. Exposure to smart buildings, IoT, or edge-AI deployments. Understanding of governance, privacy, and compliance concerns in enterprise GenAI use cases. Certification in Azure (e.g., Azure Solutions Architect, Azure AI Engineer, Terraform Associate) is a plus.