4375 Pytorch Jobs - Page 44

An AI Data Scientist at IBM is not just a job title - it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred o Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

An AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Collaboration and Project ManagementCollaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders. Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Required Technical and Professional Expertise EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges

An AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Collaboration and Project ManagementCollaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders. Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.

Design, develop, implement AI and Generative AI solutions to address business problems and achieveobjectives. Gather, clean, and prepare large datasets to ensure readiness for AI model training Train, fine-tune, evaluate, andoptimizeAI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability. Seamlessly integrate AI models and autonomous agent solutions into cloud-based & on-prem products to drive smarter workflows and improved productivity. Develop reusable tools, libraries, and components that standardize and accelerate the development of AI solutions across the organization. Monitor andmaintaindeployed models, ensuring consistent performance and reliability in production environments Stay up to date with the latest AI/ML advancements, exploringnew technologies, algorithms, and methodologies to enhance product capabilities. Effectively communicate technical concepts, research findings, and AI solution strategies to both technical and non-technical stakeholders. Understand the IBM tool and model landscape and work closely with cross-functional teams toleveragethese tools, driving innovation and alignment. Lead and mentor team members to improve performance. Collaborate with operations, architects, and product teams to resolve issues and define product designs. Exercise best practices in agile development and software engineering.Code, unit test, debug and perform integration tests of software components Participatein software design reviews, code reviews and project planning. Write and review documentation and technical blog posts. Contribute to department attainment of organizationalobjectivesand high customer satisfaction Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Minimum 6 years of hands-on experience developing AI-based applications using Python. 2+ years in Performance testing, Reliability testing 2+ years of experience using deep learning frameworks (TensorFlow,PyTorch, orKeras) Solid understanding of ML/AI conceptsEDA, preprocessing, algorithm selection, machine learning frameworks, model efficiency metrics, model monitoring. Familiarity with Natural Language Processing (NLP) techniques. Deep understanding of Large Language Models (LLM) Architectures, theircapabilitiesand limitations. Provenexpertisein integrating and working with LLMs to build robust AI solutions. Skilled in crafting effective prompts to guide LLMs to provide desired outputs. Hands-on experience with LLM frameworks such asLangchain,Langraph,CrewAIetc., Experience in LLM application development based on Retrieval-Augmented Generation (RAG) concept, familiarity with vector databases, and fine-tuning large language models (LLMs) to enhance performance and accuracy. Proficient in microservices development using Python (Django/Flask or similar technologies). Experience in Agile development methodologies Familiarity with platforms like Kubernetes and experience building on top of the native platforms Experience with cloud-based data platforms and services (e.g., IBM, AWS, Azure, Google Cloud). Experience designing, building, andmaintainingdata processing systems working in containerized environments (Docker, OpenShift, k8s) Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders Preferred technical and professional experience Experience in MLOPs frameworks (BentoML,Kubefloworsimilar technologies) and exposure to LLMOPs Experience in cost optimisation initiatives Experience with end-to-end chatbot development, including design, deployment, and ongoing optimization,leveragingNLPand integrating with backend systems and APIs. Understanding of security and ethical best practices for data and model development Contributions toopen sourceprojects

ModalityFull time, work from office Job Responsibilities: To develop LLM - driven products from the groundup, we are looking for enthusiastic members who would like to design cutting edge systems and implement AI solutions that scale globally Strong communication skills Problem solving abilities Strong programming background Understanding of Transformer architecture Required Qualifications: 3+ years of hands on experience in AI/ML with proven projects using Transformers (eg., BERT, GPT, T5, VITs, Small LLMs) Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow) Ability to independently analyze open sources and code repositories Experience in fine-tuning Transformer models for NLP (e.g., text classification, summarization) or Computer Vision (e.g., image generation, recognition) Knowledge of GPU acceleration, optimization techniques, and model quantization Experience in deploying models using Flask, FastAPI, or cloud-based inference services Familiarity with data pre-processing, feature engineering, and training workflows

What I’ll Be Doing – Your Accountabilities Design and implement machine learning models and algorithms to solve complex business problems. Collaborate closely with data analysts, and product teams to understand requirements and deliver impactful ML solutions. Build and maintain scalable data pipelines and model training workflows using modern tools and frameworks. Deploy models into production environments, ensuring performance, reliability, and scalability. Monitor and evaluate model performance over time, retraining and fine-tuning as needed to maintain accuracy and relevance. Contribute to MLOps practices, including versioning, automation, and continuous integration/deployment of ML models. Document work clearly and effectively to ensure reproducibility and knowledge sharing across teams. Stay up to date with the latest advancements in machine learning and AI, and proactively bring new ideas and techniques to the table. Job Responsibilities Design, build, and deploy scalable machine learning models and pipelines. Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. Perform data preprocessing, feature engineering, and model evaluation. Optimize model performance and ensure robustness in production environments. Monitor and maintain deployed models, retraining and updating as needed. Contribute to the development of internal tools and frameworks for ML operations (MLOps). Stay current with the latest research and trends in machine learning and AI. Skills Required For The Job 4–7 years experience building production-quality software. Bachelors or Masters degree and/or equivalent professional experience Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch. Hands-on experience with Generative AI models, including Large Language Models (LLMs) like GPT, BERT, or LLaMA. Proficiency in prompt engineering, fine-tuning, and in-context learning for GenAI applications. Experience with data manipulation tools (e.g., Pandas, NumPy) and SQL. Familiarity with cloud platforms (AWS) and containerization (Docker, Kubernetes). Strong understanding of machine learning algorithms, model evaluation metrics, and deployment strategies. Experience with version control (Git) and collaborative development workflows. Familiarity with one or more MLOps frameworks like(MLFLow,KubeFlow, Airflow,etc.) Experience you would be expected to have A PROACTIVE ATTITUDE TO ENHANCEMENTS AND BRINGING SERVICE IMPROVEMENTS & BEST PRACTICES Experience Working With Large Data Sets DEMONSTRATES CONTINUED PERSONAL/PROFESSIONAL DEVELOPMENT SOFT SKILLS:STRONG PROBLEM-SOLVING AND ANALYTICAL SKILLS. Excellent Communication And Teamwork Abilities PROGRAMMING SKILLS: PYTHON, SQL, SHELL SCRIPTING About Us BT Group was the world’s first telco and our heritage in the sector is unrivalled. As home to several of the UK’s most recognised and cherished brands – BT, EE, Openreach and Plusnet, we have always played a critical role in creating the future, and we have reached an inflection point in the transformation of our business. Over the next two years, we will complete the UK’s largest and most successful digital infrastructure project – connecting more than 25 million premises to full fibre broadband. Together with our heavy investment in 5G, we play a central role in revolutionising how people connect with each other. While we are through the most capital-intensive phase of our fibre investment, meaning we can reward our shareholders for their commitment and patience, we are absolutely focused on how we organise ourselves in the best way to serve our customers in the years to come. This includes radical simplification of systems, structures, and processes on a huge scale. Together with our application of AI and technology, we are on a path to creating the UK’s best telco, reimagining the customer experience and relationship with one of this country’s biggest infrastructure companies. Change on the scale we will all experience in the coming years is unprecedented. BT Group is committed to being the driving force behind improving connectivity for millions and there has never been a more exciting time to join a company and leadership team with the skills, experience, creativity, and passion to take this company into a new era. A FEW POINTS TO NOTE: Although these roles are listed as full-time, if you’re a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch. We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us. DON'T MEET EVERY SINGLE REQUIREMENT? Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team. Show more Show less

Hello, Truecaller is calling you from Bangalore, India! Ready to pick up? Our goal is to make communication smarter, safer, and more efficient, all while building trust everywhere. We're all about bringing you smart services with a big social impact, keeping you safe from fraud, harassment, scam calls or messages, so you can focus on the conversations that matter. Top 20 most downloaded apps globally, and world’s #1 caller ID and spam-blocking service for Android and iOS, with extensive AI capabilities, with more than 400 million active users per month. Founded in 2009, listed on Nasdaq OMX Stockholm and is categorized as a Large Cap. Our focus on innovation, operational excellence, sustainable growth, and collaboration has resulted in consistently high profitability and strong EBITDA margins. A team of 400 people from ~35 different nationalities spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon and Tel Aviv with high ambitions . We in the Insights Team are responsible for SMS Categorization, Fraud detection and other Smart SMS features within the Truecaller app. The OTP & bank notifications, bill & travel reminder alerts are some examples of the Smart SMS features. The team has developed a patented offline text parser that powers all these features and the team is also exploring cutting edge technologies like LLM to enhance the Smart SMS features. The team’s mission is to become the World’s most loved and trusted SMS app which is aligned with Truecaller’s vision to make communication safe and efficient. Smart SMS is used by over 90M users every day. As a Senior Data Scientist, you will be responsible for collecting, organizing, analyzing, and interpreting Truecaller data with a focus on NLP. In this role, you will be pivotal in advancing our work with large language models and on-device models across diverse regions. Your expertise will enhance our natural language processing, machine learning, and predictive analytics capabilities. What you bring in: 5+ years of experience in designing, developing, and deploying ML models at scale, with a focus on NLP-driven solutions. Strong background in Natural Language Processing (NLP), including text classification, entity recognition, language modeling, and transformer-based architectures. Experience in building and deploying models at scale, handling millions of messages efficiently while maintaining performance and accuracy. Also working with on-device models. Ability to not only build ML models but also take ownership of deploying them into production, ensuring scalability, reliability, and monitoring. Knowledge of anomaly detection, adversarial ML techniques, and risk modeling to identify and prevent spam and fraudulent messaging activities. Strong ability to take ML models from research and experimentation to production, working closely with ML engineers and data engineers. Expertise in machine learning libraries such as TensorFlow, PyTorch, pandas and Scikit-learn, along with NLP-specific tools like Hugging Face Transformers, spaCy with experience in TFlife, ONNX. Hands-on experience fine-tuning LLMs including transformer-based architectures (BERT, GPT, LLaMA, T5, etc.) for domain-specific applications, including knowledge distillation, quantization, and model compression for efficiency. Strong ability to design, refine, and optimize prompts for LLM-based applications, ensuring high-quality responses and reduced model hallucinations. Ability to leverage data driven decision by experimentation, and statistical analysis to improve models and business outcomes. Strong understanding of designing, testing, and optimizing prompts for LLM-based applications to improve model accuracy and efficiency. Programming knowledge in at least one language, such as Python or R. Preferably python. Expert knowledge of machine learning algorithms. Familiarity with database modelling and data warehousing principles with a working knowledge of SQL Experience in building and optimizing large-scale data processing systems using Spark/PySpark Strong ability to work cross-functionally with engineers, product managers, and business stakeholders to align ML solutions with company objectives. The impact you will create: Take a loosely defined business problem and break it into tractable data problems. For each data problem, clearly articulate the value of solving it, its impact, and its complexity. Collaborate with Product and Engineering to scope, design, and implement systems that solve complex business problems ensuring they are delivered on time and within scope. Design, develop, and optimize state-of-the-art NLP models for large-scale message classification, fraud detection, and spam filtering, impacting millions of users globally. Take full ownership of ML model development, deployment, and monitoring, ensuring models are production-ready, scalable, and cost-efficient. Lead data science projects from ideation to deployment, ensuring alignment with business objectives and timelines. Manage and analyze large datasets collected from multiple countries, ensuring data integrity and consistency. Stay updated on industry best practices and emerging technologies to drive innovation within the Data Team. You work collaboratively across systems and teams to solve user and business problems. You are expected to help define success and design and build the systems to achieve it. To work with the Product to decide on priorities and set direction, design solutions, and help the team implement them. It would be great if you also have: Understanding of Conversational AI Deploying NLP models in production Working knowledge of GCP components Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like your dream job? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. This position is based in Bangalore, India. We only accept applications in English . What we offer: A smart, talented and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing and fun environment. A great compensation package: Competitive salary, 30 days of paid vacation, flexible working hours, private health insurance, parental leave, telephone bill reimbursement, Udemy membership to keep learning and improving and Wellness allowance. Great tech tools: Pick the computer and phone that you fancy the most within our budget ranges. Office life: We strongly believe in the in-person collaboration and follow an office-first approach while offering some flexibility. Enjoy your days with great colleagues with loads of good stuff to learn from, daily lunch and breakfast and a wide range of healthy snacks and beverages. In addition, every now and then check out the playroom for a fun break or join our exciting parties and or team activities such as Lab days, sports meetups etc. There something for everyone! Come as you are: Truecaller is diverse, equal and inclusive. We need a wide variety of backgrounds, perspectives, beliefs and experiences in order to keep building our great products. No matter where you are based, which language you speak, your accent, race, religion, color, nationality, gender, sexual orientation, age, marital status, etc. All those things make you who you are, and that’s why we would love to meet you. 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Train learners in tools such as Python, R, SQL, Power BI/Tableau, Excel, and relevant ML libraries (e.g., scikit-learn, TensorFlow, Numpy, Pandas). Mentor learners, solve doubts, and track progress through assessments Full Time / Part Time available

What We Do: At ClearTrail, work is more than ‘just a job’. Our calling is to develop solutions that empower those dedicated to keep their people, places and communities safe. For over 23 years, law enforcement & federal agencies across the globe have trusted ClearTrail as their committed partner in safeguarding nations & enriching lives. We are envisioning the future of intelligence gathering by developing artificial intelligence and machine learning based lawful interception & communication analytics solutions that solve the world’s most challenging problems. Role – ML Engineer (6-10 years’ experience) with ML and LLM skill set Location – Indore, MP, Bangalore Qualifications: Bachelor's degree in computer science & engineering. 6-10 years of Proven experience as a Machine Learning Engineer or similar role with LLM skill set Sound theoretical and practical knowledge of working with machine learning algorithms and hands-on with LLM applications Responsibilities: Develop end-to-end machine learning pipeline which includes model development, refining, and implementation for variety of analytics problems. Communicate results to diverse technical and non-technical audiences. Provides LLM expertise to solve problems using state-of-the-art language models and off-the-shelf LLM services, such as OpenAI models etc. Along with knowledge around Retrieval augmented generation and relevant techniques to improve performance & capabilities of LLMs Research and Innovation: Stay up to date with the latest advancements in the fields of AI. Probem-solving and code debugging skills. Hands on practical experience with usage of large language and generative AI models both proprietary and opensource, including transformers and GPT models (preferred) Mandatory Skills: Libraries: Python, Scikit-Learn, PyTorch, LangChain, Transformers Techniques: Exploratory Data Analysis, Machine Learning and Neural Networks Machine learning model building, Hyperparameter tuning and Model performance metrics and Model Deployment Practical knowledge of LLM and its finetuning Good to Have Skills - Deep Learning MLOps SQL Show more Show less

Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of 10+ years of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Kolkata Req ID: 763067 Show more Show less

Responsibilities Job Responsibilities: Architect and Design scalable and efficient AI solutions, leveraging technologies such as LangChain, Agentic AI, RAG, Event driven architecture using Kafka etc. Collaborate with cross-functional teams to identify business needs and develop tailored solutions Provide technical leadership and guidance to junior team members Stay up-to-date with the latest advancements in AI, machine learning, and data science, and apply this knowledge to improve our solutions Communicate complex technical concepts to non-technical stakeholders and team members Troubleshoot and resolve technical issues, and provide support to ensure high system uptime and performance Develop and maintain technical documentation, and ensure that all solutions are well-documented and easily maintainable Technical and Professional Requirements: Preferred Qualifications: Experience with Agentic Frameworks such LangGraph, AutoGen, CrewAI Experience with cloud-based technologies, such as AWS or Azure Familiarity with containerization using Docker, and orchestration using Kubernetes Familiarity with agile development methodologies, such as Scrum or Kanban Experience with AI-related tools and frameworks, such as TensorFlow or PyTorch Knowledge of data engineering, data warehousing, and data governance Experience with agile development methodologies, such as Scrum or Kanban Certification in data science, machine learning, or a related field Experience with leadership and mentoring, with a proven track record of guiding junior team members and helping them grow in their careers Strong business acumen, with the ability to understand business needs and develop solutions that drive business growth and improvement. Preferred Skills: Technology->Artificial Intelligence->Artificial Intelligence - ALL Technology->Machine Learning->Generative AI Technology->Machine Learning->AI/ML Solution Architecture and Design->generative ai Technology->Machine Learning->Python Additional Responsibilities: Required Qualifications: B.E/B.Tech/M.E/M.Tech/MCA degree in Computer Science, Information Technology, or a related field At least 8 years of experience in software development, with at least 2 years of experience in Generative AI Proficiency in LangChain, Python, Generative AI, Agentic AI, Kafka, and Advanced Prompt Engineering Techniques Strong understanding of software architecture, design patterns, and principles Excellent problem-solving skills, with the ability to analyze complex technical problems and develop creative solutions Strong communication and teamwork skills, with the ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders Tech Skill: LangChain, Python, Fast/Flask API, Gen AI, Agentic AI, Advanced Prompt Engineering, Machine Learning, SQL, Kafka Soft Skill: Communication, Team Work, Problem Solving Educational Requirements Bachelor of Engineering Service Line Information Systems Location of posting is subject to business requirements

Job Summary Job Title: Technical Team Lead Location: TechM Noida NSEZ Plot 131 133 Years of Experience: 7 10 Years Job Summary: We are seeking a highly skilled and experienced Technical Team Lead with a strong background in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). The ideal candidate will be responsible for leading a team of engineers and data scientists to develop innovative AI/ML solutions that drive business value. This role requires a blend of technical expertise, leadership skills, and the ability to communicate effectively with both technical and non technical stakeholders. Responsibilities: Lead and mentor a team of AI/ML engineers and data scientists, fostering a collaborative and innovative work environment. Design, develop, and implement AI/ML models and algorithms to solve complex business problems. Oversee the end to end project lifecycle, from requirements gathering to deployment and maintenance of AI/ML solutions. Collaborate with cross functional teams to integrate AI/ML capabilities into existing systems and processes. Stay updated with the latest advancements in AI/ML technologies and methodologies, and apply them to enhance project outcomes. Conduct code reviews and ensure adherence to best practices in software development and data science. Communicate project status, risks, and challenges to stakeholders and management effectively. Participate in recruitment and training of new team members to build a high performing team. Mandatory Skills: Proven experience in AI, ML, and DL with a strong portfolio of projects. Expertise in programming languages such as Python, R, or Java. Strong understanding of data structures, algorithms, and software design principles. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit learn). Ability to analyze and interpret complex data sets and derive actionable insights. Excellent problem solving skills and a proactive approach to challenges. Strong leadership and team management skills. Effective communication skills, both verbal and written. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Familiarity with big data technologies (e.g., Hadoop, Spark). Knowledge of DevOps practices and tools for continuous integration and deployment. Experience in Agile methodologies and project management. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 7 10 years of relevant experience in AI/ML/DL, with at least 3 years in a leadership role. Proven track record of successfully delivering AI/ML projects on time and within budget. If you are passionate about leading innovative AI/ML projects and have the required expertise, we encourage you to apply and join our dynamic team at TechM. Show more Show less

Job Title: Python Developer (Django/FastAPI + AI/ML) Company: Walkwel Technology Location: Onsite – Mohali, Punjab Working Days: 5 Days a Week About Walkwel Technology: Walkwel Technology is an innovation-driven IT services company based in Mohali, Punjab. We work on a wide range of cutting-edge solutions, blending deep technical expertise with a culture of continuous learning and experimentation. Job Description: We are looking for a skilled and passionate Python Developer with solid experience in Django and FastAPI , and a strong background in AI/ML development and working with agents (e.g., AI agents, LLMs, autonomous agents). This is a hands-on role ideal for someone who thrives in a fast-paced, research-backed development environment. Key Responsibilities: Design, develop, and maintain scalable backend services using Django and FastAPI. Build and deploy machine learning models and pipelines for real-world applications. Work on AI agents and integrate large language models (LLMs) or autonomous systems. Collaborate with data scientists and frontend developers to deliver intelligent systems. Develop RESTful APIs for AI/ML applications and ensure secure, efficient data handling. Research and implement novel ML/AI tools and techniques. Write clean, maintainable, and well-documented code. Required Skills & Experience: 3+ years of hands-on Python development experience. Proficiency with Django and FastAPI frameworks. Strong experience in Machine Learning / Deep Learning using libraries like scikit-learn , TensorFlow , PyTorch , or Transformers . Familiarity with AI agent frameworks (e.g., LangChain, AutoGPT, OpenAI tools, Hugging Face agents, or custom autonomous agents). Experience with RESTful API design and development. Good knowledge of databases like PostgreSQL, MySQL, or MongoDB. Exposure to containerization tools like Docker is a plus. Preferred Qualifications: Experience with cloud platforms (AWS/GCP/Azure) for deploying ML models. Understanding of NLP, LLMs, and prompt engineering. Familiarity with MLOps practices and tools. What We Offer: Opportunity to work on advanced AI/ML-driven projects. Competitive compensation aligned with experience and skills. Supportive, innovation-focused team culture. 5-day work week and a healthy work-life balance. Job Type: Full-time Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Provident Fund Schedule: Day shift Monday to Friday Application Question(s): How much total years of Expereince you have with Python Development? Have you worked with FastAPI? if yes how many years? Do you have working Expereince with AI/ML? What are your Salary Expectations? Work Location: In person

About Protect AI Protect AI is shaping, defining, and innovating a new category within cybersecurity around the risk and security of AI/ML. Our ML Security Platform enables customers to see, know, and manage security risks to defend against unique AI security threats, and embrace MLSecOps for a safer AI-powered world. This includes a broad set of capabilities including AI supply chain security, Auditable Bill of Materials for AI, ML model scanning, signing, attestation and LLM Security. Join our team to help us solve this critical need of protecting AI! Role We're looking for an exceptional AI Engineer with deep expertise in Natural Language Processing and Large Language Models to join our growing team. In this role, you'll design, develop, and deploy sophisticated AI systems that form the core of our product offerings. You will work across the full machine learning lifecycle—from research and prototyping to production deployment and ongoing optimization. This position offers a unique opportunity to work with state-of-the-art models and techniques while making meaningful contributions to our product roadmap. You'll collaborate closely with our cross-functional teams, including research scientists, software engineers, and product managers to bring AI-powered features from concept to reality. Responsibilities Create complex AI workflows and pipelines that power our core products and services Finetune a plethora of models (both large and small) using advanced techniques to improve performance and adapt to specific use cases Conduct in-depth research to develop novel methodologies and techniques for building agentic workflows Develop forefront technologies to secure AI systems against emerging threats and vulnerabilities Evaluate and improve the performance of various AI models (NLP, generative, classification) for greater accuracy, efficiency, and scalability Collaborate with cross-functional teams to integrate AI capabilities into production systems Effectively communicate technical findings and insights to both technical and non-technical stakeholders Stay abreast of the latest advancements in AI research and engineering, actively contributing to the community through publications, presentations, or open-source contributions Qualifications Significant practical experience in building and deploying machine learning, deep learning, and neural networks, from ideation to production, in academia or industry settings Advanced knowledge in Deep Learning as applied to Natural Language Processing (NLP) tasks, such as text classification, feature extraction, sentiment analysis, topic modeling, and named entity recognition Advanced knowledge in various finetuning methodologies of LLMs such as RLHF, DPO, PPO, or GRPO, with a demonstrated ability to stay current with emerging techniques Expertise in modern Python (type hints, Pydantic) and at least one strongly typed programming language (Go, Java, C#, C++) Strong experience with deep learning frameworks, particularly PyTorch, and familiarity with the full NLP stack Hands-on experience with ML-related tools such as Pandas, Polars, Scikit-Learn, and Jupyter Experience with workflow orchestration systems like Langgraph and familiarity with PydanticAI is highly desirable Knowledge of or experience with computer vision and audio-based models is a plus Excellent problem-solving skills and meticulous attention to detail, with a passion for building high-quality, robust AI systems What We Offer An exciting, collaborative work environment in a fast-growing startup. Competitive salary and benefits package. Opportunities for professional growth and development including attending and presenting technical talks at meetups and conferences. A culture that values innovation, accountability, and teamwork. Opportunities to contribute to our open source projects with thousands of Github stars. Work with a team of talented and well-accomplished peers from AWS, Microsoft and Oracle Cloud. Work with best in class tools — M2 Macbook Pro, 34” Monitor, modern tech stack and high quality collaboration tools. No bureaucracy and legacy systems. You are empowered to innovate and do your best work. Protect AI is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Show more Show less

Job Overview As a Senior Dev ops Engineer, Machine Learning (ML) Operations in the Technology & Engineering division, you will be responsible for enabling PitchBook's Machine Learning teams and practitioners by providing tools that optimize all aspects of the Machine Learning Development Life Cycle (MLDLC). Your work will support projects in a variety of domains, including Generative AI (GenAI), Large Language Models (LLMs), Natural Language Processing (NLP), Classification, and Regression. Team Overview Your teams goal will be to reduce friction and time-to-business-value for teams building Artificial Intelligence (AI) solutions at PitchBook. You will be essential in helping to build exceptional AI solutions relied upon and used by thousands of PitchBook customers every day. You will work with PitchBook professionals around the world with the collective goal of delighting our customers and growing our business. While demonstrating a growth mindset, you will be expected to continuously develop your expertise in a way that enhances PitchBooks AI capabilities in a scalable and repeatable manner. You will be able to solve various common challenges faced in the MLDLC while providing technical guidance to less experienced peers. Outline of Duties and Responsibilities Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation. Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment. Provide mentorship , technical guidance , and perform code reviews for team members. Design and deliver on projects end-to-end with little to no guidance. Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC. Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBooks AI capabilities. Support the vision and values of the company through role modeling and encouraging desired behaviors. Participate in various cross-functional company initiatives and projects as requested. Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value. Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance. Experience, Skills and Qualifications Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or commensurate experience). 5+ years of experience in hands-on development of Machine Learning algorithms. 5+ years of experience in hands-on deployment of Machine Learning services 5+ years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance 5+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP) Experience with at least 80%: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, KubeFlow Ability to break large, complex problems into well-defined steps, ensuring iterative development and continuous improvement Experience in cloud-native delivery, with a deep practical understanding of containerization technologies such as Kubernetes and Docker, and the ability to manage these across different regions. Proficiency in Git Ops and creation/management of CI/CD pipelines. Demonstrated experience building and using SQL/NoSQL databases. Demonstrated experience with Python (Java is a plus) and other relevant programming languages and tools. Excellent problem-solving skills with a focus on innovation, efficiency, and scalability in a global context. Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions. Ability to be a team player who can also work independently. Experience working across multiple development teams is a plus. Morningstar is an equal opportunity employer.

send your resumes to HR@aegletek.com 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. Show more Show less

Job Title: Python Developer Location: Mohali, Punjab Company: RevClerx About RevClerx: RevClerx Pvt. Ltd., founded in 2017 and based in the Chandigarh/Mohali area (India), is a dynamic Information Technology firm providing comprehensive IT services with a strong focus on client-centric solutions. As a global provider, we cater to diverse business needs including website designing and development, digital marketing, lead generation services (including telemarketing and qualification), and appointment setting. Job Summary: We are seeking a motivated and skilled Python Developer with 3-4 years of professional experience to join our dynamic engineering team. The ideal candidate will be proficient in developing, deploying, and maintaining robust Python-based applications and services. You will play a key role in the entire software development lifecycle, from conceptualization and design through testing, deployment, and ongoing maintenance. While core Python development is essential, we highly value candidates with an interest or experience in emerging technologies like AI/ML and Large Language Model (LLM) applications. Key Responsibilities: Design, develop, test, deploy, and maintain high-quality, scalable, and efficient Python code. Collaborate closely with product managers, designers, and other engineers to understand requirements and translate them into technical solutions. Participate in the full software development lifecycle (SDLC) using Agile methodologies. Write clean, maintainable, well-documented, and testable code. Contribute to code reviews to ensure code quality, share knowledge, and identify potential issues. Troubleshoot, debug, and upgrade existing software systems. Develop and integrate with RESTful APIs and potentially other web services. Work with databases (like Postgersql) to store and retrieve data efficiently. Optimize applications for maximum speed, scalability, and reliability. Stay up-to-date with the latest industry trends, technologies, and best practices in Python development and related fields. Potentially assist in the integration of AI/ML models or contribute to projects involving LLM-based agents or applications. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 3-4 years of professional software development experience with a primary focus on Python. Strong proficiency in Python and its standard libraries. Proven experience with at least one major Python web framework (e.g., Django, Flask, FastAPI). Solid understanding of object-oriented programming (OOP) principles. Experience working with relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB, Redis). Proficiency with version control systems, particularly Git. Experience designing, building, and consuming RESTful APIs. Familiarity with Agile development methodologies (e.g., Scrum, Kanban). Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Preferred (Good-to-Have) Qualifications: AI/ML Knowledge: Basic understanding of machine learning concepts and algorithms. Experience with relevant Python libraries for data science and ML (e.g., Pandas, NumPy, Scikit-learn). Experience integrating pre-trained ML models into applications. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus. LLM Experience: Demonstrable interest or hands-on experience in building applications leveraging Large Language Models (LLMs). Experience working with LLM APIs (e.g., OpenAI GPT, Anthropic Claude, Google Gemini). Familiarity with LLM frameworks or libraries (e.g., LangChain, LlamaIndex). Understanding of basic prompt engineering techniques. Experience building or experimenting with LLM-powered agents or chatbots. Containerization & Orchestration: Experience with containerization technologies like Docker and orchestration tools like Kubernetes. CI/CD: Experience setting up or working with Continuous Integration/Continuous Deployment (CI/CD) pipelines (e.g., Jenkins, GitLab CI, GitHub Actions). Asynchronous Programming: Experience with Python's asynchronous libraries (e.g., asyncio, aiohttp). What We Offer: Challenging projects with opportunities to work on cutting-edge technologies especially in the field of AI. Competitive salary and comprehensive benefits package. Opportunities for professional development and learning (e.g., conferences, courses, certifications). A collaborative, innovative, and supportive work environment. Job Type: Full-time Pay: ₹16,526.97 - ₹68,399.45 per month Benefits: Food provided Health insurance Location Type: In-person Schedule: Monday to Friday Work Location: In person Speak with the employer +91 9041633697

Additional Locations: N/A Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions. About The Position We are seeking a talented and experienced Generative AI Developer to join our team. As a Mid-Level Generative AI Developer, you will play a key role in designing, developing, and deploying AI models that generate high-quality, creative outputs. You will work closely with a team of automation specialists and product managers to create solutions that meet business objectives and deliver exceptional user experiences. Location: Pune, India Key Responsibilities Model Development: Design, implement, and optimize generative models (e.g., GANs, VAEs, Transformers) for various applications, including text, image, and audio generation. Data Management: Work with large datasets, perform data preprocessing, augmentation, and ensure the quality and integrity of training data. Research and Innovation: Stay up-to-date with the latest research in generative AI and machine learning, and apply new techniques to enhance model performance and capabilities. Collaboration: Collaborate with cross-functional teams to understand project requirements, define AI solutions, and integrate models into production systems. Performance Optimization: Monitor and optimize the performance of generative models, including tuning hyperparameters, reducing latency, and improving the scalability of AI systems. Documentation: Maintain comprehensive documentation of model architectures, training processes, and performance metrics. Testing and Validation: Develop and implement rigorous testing and validation protocols to ensure the robustness and reliability of AI models. Mentorship: Provide guidance and mentorship to junior developers and interns, fostering a collaborative and growth-oriented work environment. Qualifications Experience: 3-5 years of experience in AI/ML development life cycle, with a focus on generative models. Education: Bachelor's or master’s degree in computer science, Engineering, or a related field. Technical Skills: Proficiency in Python and relevant ML libraries/frameworks (e.g., StreamLit, TensorFlow, PyTorch, Scikit-Learn). Experience with generative models such as GANs, VAEs, and Transformer-based architectures. Strong understanding of deep learning techniques, neural network architectures and software engineering principles. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Kubernetes). Experience with data preprocessing, augmentation, and working with large-scale datasets. Soft Skills: Excellent problem-solving and analytical skills. Strong communication skills and ability to work effectively in a team environment. Ability to manage multiple projects and meet deadlines. Bonus Skills: Experience with NLP, computer vision, or audio processing. Knowledge of reinforcement learning or unsupervised learning techniques. Contributions to open-source projects in the AI/ML domain. Requisition ID: 603783 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you! Show more Show less

Responsibilities Manage Data: Extract, clean, and structure both structured and unstructured data. Coordinate Pipelines: Utilize tools such as Airflow, Step Functions, or Azure Data Factory to orchestrate data workflows. Deploy Models: Develop, fine-tune, and deploy models using platforms like SageMaker, Azure ML, or Vertex AI. Scale Solutions: Leverage Spark or Databricks to handle large-scale data processing tasks. Automate Processes: Implement automation using tools like Docker, Kubernetes, CI/CD pipelines, MLFlow, Seldon, and Kubeflow. Collaborate Effectively: Work alongside engineers, architects, and business stakeholders to address and resolve real-world problems efficiently. Qualifications 3+ years of hands-on experience in MLOps (4-5 years of overall software development experience). Extensive experience with at least one major cloud provider (AWS, Azure, or GCP). Proficiency in using Databricks, Spark, Python, SQL, TensorFlow, PyTorch, and Scikit-learn. Expertise in debugging Kubernetes and creating efficient Dockerfiles. Experience in prototyping with open-source tools and scaling solutions effectively. Strong analytical skills, humility, and a proactive approach to problem-solving. Preferred Qualifications Experience with SageMaker, Azure ML, or Vertex AI in a production environment. Commitment to writing clean code, creating clear documentation, and maintaining concise pull requests. Skills: sql,kubeflow,spark,docker,databricks,ml,gcp,mlflow,kubernetes,aws,pytorch,azure,ci/cd,tensorflow,scikit-learn,seldon,python,mlops Show more Show less

🧠 We’re Hiring: AI/ML Developer 📍 Location: Nagpur (On-site) 💼 Work Type: Full-Time 🧪 Experience Required: 2 years 🏢 Company: ImmverseAI Join ImmverseAI and be part of a visionary team building cutting-edge AI solutions that shape the future of learning, interaction, and intelligence. We’re seeking an AI/ML Developer who thrives on innovation and is eager to build impactful, real-world applications powered by artificial intelligence and machine learning. 🛠️ Key Responsibilities: • Design and develop AI/ML applications aligned with project and business goals • Research and implement advanced ML algorithms and tools • Train and fine-tune ML models on custom datasets • Collaborate with cross-functional teams to design and test intelligent solutions • Take ownership of modules and deliver results in an agile environment 🔍 Key Skills Required: ✅ Expertise in deep learning (NLP, Speech, or Computer Vision) ✅ Hands-on experience with TensorFlow or PyTorch ✅ Proven experience with LLMs and prompt engineering ✅ Strong Python coding skills following best practices ✅ REST API development and high-performance implementation ✅ Experience with cloud platforms – AWS / Azure / GCP ✅ Solid understanding of algorithms , OOP , data structures , and DB schema design ✅ Familiarity with Git workflows and coding standards ✅ Strong analytical thinking and communication skills 🎓 Qualifications: ✔ Graduate degree in Computer Science, Engineering, Mathematics, Statistics , or related fields ✔ Strong foundation in ML algorithms and model development ✔ Self-starter who collaborates well in dynamic team environments Show more Show less

Company Description At CentoCode, we're passionate about leveraging technology to empower businesses and individuals alike. As a leading IT solutions provider, we specialize in delivering cutting-edge digital solutions tailored to meet the unique needs of our clients. Our focus is on innovation and excellence, ensuring that we stay ahead in the constantly evolving tech landscape. Role Description This is a full-time on-site role for an Artificial Intelligence Engineer located in Gurugram. The Artificial Intelligence Engineer will be responsible for developing and implementing AI models, working with neural networks, pattern recognition, and natural language processing (NLP). Daily tasks include software development, model training, and continuous optimization of AI algorithms. Qualifications Proficiency in Pattern Recognition and Neural Networks Strong background in Computer Science and Software Development Experience with Natural Language Processing (NLP) Experience with Deep Learning, Machine Learning Models image recognition , classification, object detection, and numerical data prediction. Experience with OpenCV, GANN, CIFAR, ImageNET etc Experience with FastAPI, TensorFlow, PyTorch, Keras etc Excellent problem-solving and analytical skills Ability to work collaboratively in a team environment Master's degree or higher in Computer Science, Engineering, or related field Show more Show less

Faculty/Trainer - DIGITAL MARKETING FACULY Adi Group of Institutions is a leading organization committed to delivering high-quality education and training in cutting-edge technologies. We specialize in providing industry-relevant courses that prepare individuals for the future of work. We are looking for a passionate and experienced Trainer in DIGITAL MARKETING and to join our team. The ideal candidate will have a strong background in Digital MARKETING, machine learning, deep learning, and data science, along with a flair for teaching and mentoring. Key Responsibilities: * Develop and deliver comprehensive training programs in digital marketing * Design course materials, exercises, and assessments that align with industry standards. * Conduct live sessions, workshops, and webinars, ensuring an engaging and interactive learning experience. * Provide one-on-one mentoring and support to learners, guiding them through projects and assignments. * * Evaluate student progress and provide constructive feedback. Requirements: * Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. * Proven experience (1+ years) as a trainer, instructor, or mentor in AI and Data Science. * Proficiency in Python, R, SQL, TensorFlow, PyTorch, or similar AI and data science tools. * Strong knowledge of machine learning algorithms, data analysis, data visualization, and deep learning. * Excellent communication and presentation skills. * Ability to simplify complex concepts and make learning accessible to all. Key Responsibilities:* - *Course Design & Delivery:* Develop and deliver digital marketing, AI, and multimedia-related courses, integrating real-world examples, case studies, and the latest industry trends into lessons. - *Curriculum Development:* Collaborate with academic leaders to create and update curriculum that includes AI-powered digital marketing strategies, data analysis, social media marketing, content creation, and multimedia tools. - *Research & Innovation:* Stay up-to-date with digital marketing innovations, AI applications, and multimedia technologies, and incorporate them into teaching and course materials. - *Hands-on Training:* Provide practical, hands-on training using digital marketing tools, AI software, multimedia production tools (e.g., video editing software, graphic design platforms), and data analytics tools. - *Student Mentorship & Support:* Guide students in their academic journey, provide mentorship, and offer career advice related to digital marketing, AI applications, and multimedia industries. - *Assessment & Feedback:* Evaluate student performance, provide constructive feedback, and offer support to help students achieve their academic and professional goals. - *Industry Engagement:* Establish relationships with industry professionals and organizations to bring guest speakers, internships, and networking opportunities to students. - *Workshops & Seminars:* Organize workshops and seminars on emerging digital marketing strategies, AI applications, and multimedia content creation for both students and faculty. - *Collaboration & Administration:* Collaborate with other faculty members and administrative staff to support the academic department’s initiatives and objectives. ### *Requirements:* - *Educational Qualifications:* A Master's degree or higher in Digital Marketing, AI, Multimedia, Communications, or a related field. Professional certifications in digital marketing or AI are a plus. - *Experience:* At least 5 years of experience in digital marketing, AI applications in marketing, or multimedia content creation, preferably with some teaching or training experience. - *Technical Skills:* - Proficiency in digital marketing tools and platforms (Google Ads, SEMrush, HubSpot, etc.). - Knowledge of AI tools and software used in digital marketing (e.g., machine learning tools, data analytics, automated marketing platforms). - Proficiency in multimedia software (Adobe Creative Suite, video editing software, etc.). - Familiarity with SEO, SEM, social media marketing, content marketing, email marketing, and web analytics. - *Pedagogical Skills:* Strong ability to teach, explain complex concepts clearly, and engage students in interactive learning. - *Communication Skills:* Excellent verbal and written communication skills. - *Industry Knowledge:* A deep understanding of current trends in digital marketing, AI, and multimedia content creation, along with practical experience applying them in a professional setting. ### *Preferred Qualifications:* - Ph.D. or other advanced certifications in Digital Marketing, AI, Multimedia Production, or related fields. - Proven ability to integrate AI and multimedia into innovative teaching methodologies. - Experience in industry and academia with a focus on practical, hands-on learning. ### *Benefits:* - Competitive salary and benefits package. - Opportunities for professional development, research, and academic growth. - Collaborative work environment with access to cutting-edge tools and technologies. - Opportunities for engaging with the digital marketing, AI, and multimedia industry. --- This job description blends the need for digital marketing expertise with AI and multimedia skills in an academic setting. If you need any further adjustments, let me know! 9946667525 Job Type: Full-time Pay: Up to ₹30,000.00 per month Schedule: Day shift Experience: total work: 1 year (Required) Work Location: In person

Job Title : Sr. Data Scientist Location : Mumbai / Pune Job Type : Full-time Experience : 4-7 years About the Role : We are seeking a Sr. Data Scientist with experience in Computer Vision to join our team. You will be responsible for building and maintaining models including but not limited to Vision Transformer neural networks. This role involves collaborating with data engineers and backend developers to deliver quality AI solutions. Responsibilities : Design and implement end-to-end machine learning workflows for image and computer vision applications, from data collection to model deployment. Collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to define and prioritize machine learning initiatives. Document technical designs and model specifications, ensuring clarity and accessibility for stakeholders and team members. Ensure adherence to best practices in model development, deployment, and monitoring, in alignment with the overall AI strategy. Monitor model performance and implement strategies for continuous improvement and retraining as needed. Develop scalable and efficient deep learning models using PyTorch, optimizing for performance and resource utilization. Qualifications : Bachelors degree in Computer Science or a related field. 4-7 years of hands-on experience in developing and deploying machine learning models, particularly in computer vision tasks. Proficient in using PyTorch for developing deep learning models, with a strong understanding of CNNs, transfer learning, vision transformers, and data augmentation techniques. Solid understanding of computer vision concepts, including image classification, object detection, and image segmentation. Strong programming skills in Python, with experience in data manipulation libraries such as NumPy and Pandas. Experience with version control systems like Git. Excellent analytical and problem-solving skills, strong communication abilities, and a collaborative mindset. Preferred Qualifications : Experience with cloud platforms (e.g., AWS, GCP, Azure) and their ML services, particularly those related to model deployment and GPU training. Understanding of MLOps principles and practices, including model monitoring, versioning, and governance. Knowledge of GPU computing and tools for managing GPU resources (e.g., CUDA, cuDNN).

The Senior Technical Specialist in c, python is responsible for leading technical projects and providing expertise in the development and implementation of solutions using C and Python programming languages. This role involves designing, coding, testing, and debugging complex software applications while ensuring high performance and reliability. (1.) Key Responsibilities 1. Lead technical projects from concept to implementation using c and python programming languages. 2. Collaborate with cross functional teams to design and develop software solutions that meet business requirements. 3. Write efficient, maintainable, and reusable code in c and python. 4. Conduct code reviews and provide technical guidance to team members. 5. Troubleshoot and resolve issues in existing software applications. 6. Stay updated on industry trends and technologies to recommend enhancements and improvements. 7. Ensure software quality through testing and verification processes. Skill Requirements 1. Proficiency in c and python programming languages. 2. Strong understanding of data structures and algorithms. 3. Experience with software development life cycle and methodologies. 4. Ability to work effectively in a team environment. 5. Excellent problem-solving and analytical skills. 6. Good communication and interpersonal abilities. 7. Attention to detail and quality oriented mindset. Certifications: Relevant certifications in C, Python, or related technologies are a plus. No. of Positions 8 Skill (Primary) Technical Skills (ERS)-Languages-C Auto req ID 1544565BR Skill Level 3 (Secondary Skill 1) Data Science-Artificial Intelligence-PyTorch Skill Level 3 (Secondary Skill 2) Data Science-Artificial Intelligence-AI-ML modelling Skill Level 3 (Secondary Skill 3) Data Science-Advanced Analytics-Python Skill Level 3 (Secondary Skill 4) Technical Skills (ERS)-Languages-Python

Job Title: Data Scientist – AI & Algorithms Location: On-site – New Delhi Company: WaysAhead Technology Pvt. Ltd. Vertical: Data Engineering & AI Innovation Experience: 2–6 years Open position: 1 Job Description: We are looking for an experienced Data Scientist with a strong foundation in algorithms, large language models (LLMs), and computer vision. The ideal candidate will be proficient in Python and capable of building scalable, production-grade AI solutions from development to deployment. You will be working at the intersection of retail intelligence and cutting-edge AI, contributing to the design of smart systems and APIs for real-time business impact. Key Responsibilities: Design and implement machine learning models for classification, recommendation, NLP, or vision-based tasks. Develop and fine-tune LLMs or implement RAG-based systems. Write clean, modular Python code for algorithmic models and data workflows. Develop REST APIs for model access and integrate them into existing platforms. Deploy models to production environments using Docker, FastAPI, or Flask. Collaborate with product and business teams to understand use cases and deliver AI-driven features. Skill Set: Must have skills: Python (Advanced) Machine Learning (Sklearn) Algorithm Development LLMs / NLP / Transformers REST API Development Model Deployment (Docker etc.) FastAPI / Flask HuggingFace / OpenAI APIs MsSQL RAG / Fine-tuning pipelines Good to have skills: PostgreSQL Git / CI-CD basics Prompt Engineering / Embedding use LangChain, Unsloth, Vector DBs (FAISS) Streamlit / Gradio UI wrappers Nice to have skills: Azure / AWS ML deployment pipelines ONNX / Model Optimization Computer Vision (OpenCV, YOLO, etc.) PyTorch / TensorFlow (Intermediate) Job Types: Full-time, Permanent, Contractual / Temporary Contract length: 12 months Pay: ₹400,000.00 - ₹1,200,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Quarterly bonus Work Location: In person Expected Start Date: 10/06/2025