1810 Keras Jobs - Page 7

Senior AI Developer(Python Developer) Contract: 12-18 Months with possibility of extension. Location: (Remote) Bengaluru, KA ,India We are looking for a highly skilled and experienced AI Developer to design, develop, and deploy advanced artificial intelligence solutions. The ideal candidate will have a strong background in machine learning, deep learning, and particularly, hands-on experience with Generative AI. You will be instrumental in building intelligent systems, from chatbots to complex web server applications, and will play a key role in identifying and implementing AI-driven opportunities that align with our business objectives. Responsibilities: Design, develop, and deploy robust AI/ML models and algorithms, with a strong focus on Generative AI solutions. Develop and maintain AI-powered applications, including chatbots, conversational AI systems, and web server applications. Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications for AI solutions. Evaluate and select appropriate AI/ML frameworks, models, and protocols for specific use cases, demonstrating a deep understanding of their strengths and limitations. Conduct data analysis, feature engineering, and model training, evaluation, and optimization. Stay up-to-date with the latest advancements in AI, machine learning, and Generative AI research and apply relevant innovations to projects. Ensure the scalability, performance, and reliability of AI systems. Participate in code reviews, contribute to architectural discussions, and maintain high code quality standards. Document technical designs, processes, and results clearly and concisely. Mandatory Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Proven experience in implementing and deploying at least one or two Generative AI solutions. Proficiency in Python with extensive experience in developing AI/ML applications. Strong practical experience in developing and deploying chatbots and conversational AI systems. Demonstrated experience in building and integrating AI models into web server applications. Deep knowledge of various AI models, their underlying principles, and their limitations. Practical knowledge of identifying what use cases can be solved well with Generative AI specifically, and understanding which frameworks, models, and protocols are best suited for different problems. Hands-on experience with various AI/ML libraries and tools such as TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, Keras, etc. Solid understanding of data structures, algorithms, and software development best practices. Excellent problem-solving skills and ability to work independently and as part of a team. Experience in developing and deploying multi-agent applications and systems. Familiarity with recent advancements and concepts in the Generative AI ecosystem, such as MCP, A2A. Preferred Qualifications: Experience with cloud AI platforms (e.g., AWS, GCP, Azure). Familiarity with MLOps practices and tools for model deployment, monitoring, and management. Experience with containerization technologies (e.g., Docker, Kubernetes, Openshift). Knowledge of natural language processing (NLP) techniques and tools. Strong communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

Job Description Embark on a transformative journey with JPMorgan as we evolve into a technologically advanced, client-focused company. We're seeking top talent for our AI engineering team to integrate machine learning into our key products, working closely with our tech partners. This role, part of the Payments Trust & Safety Team, offers a unique opportunity to influence the financial services industry by developing impactful Machine Learning solutions. Join us in building next-gen technology that leverages JPMorgan's unique data and full-service advantage to create high-impact AI applications and platforms. As a Applied AI ML Lead within the Payments AI/ML team at JPMorgan, you will collaborate with all lines of business and functions to deliver software solutions. You will have the opportunity to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant business impact. You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results. You will hire and lead a team of ML scientists as we set out to solve impactful business problems at JPMC. Job Responsibilities Collaborate with all of JPMorgan’s lines of business and functions to delivery software solutions. Experiment, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact. Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result. Required Qualifications, Capabilities And Skills Formal training or certification on software engineering concepts and 5+ years applied experience MS or PhD and a degree in Computer Science, Statistics, Mathematics or Machine learning related field. Solid programming skills with Java, Python or other equivalent languages. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn. Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB. Strong analytical and critical thinking skills. Self-motivation, great communication skills and team player. Preferred Qualifications, Capabilities And Skills Cloud computing: Google Cloud, Amazon Web Service, Azure, Docker, Kubernetes. Experience in big data technologies: Hadoop, Hive, Spark, Kafka. Experience in distributed system design and development About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

As a Senior AI/ML Engineer specializing in Python/AI-ML, you will be responsible for developing and implementing AI/ML models using Python. Your expertise in Keras and Pandas will be essential for model development. Additionally, you will work with Generative AI and Large Language Models like GPT-3 and Transformers. Your role will involve building and managing data pipelines using technologies such as Kafka and big data platforms. Experience in Time Series modeling and knowledge of cloud platforms like AWS, Azure, or GCP for deployment and performance optimization will be crucial. Familiarity with Aurora DB and ELK stack will also be beneficial. You should be able to create reusable ML components for scalable systems and possess excellent communication skills for collaborating with cross-functional teams. Exposure to GANs, synthetic data generation techniques, model compliance, and performance benchmarking will be considered advantageous. Mentoring junior developers and understanding model observability and monitoring tools are desirable qualities. With at least 5 years of hands-on experience in AI, Machine Learning, and Generative AI, you should have strong programming skills in Python, Keras, Pandas, and FastAPI. Familiarity with advanced ML models like LangChain, GPT-3, GANs, Transformers, and analytical models such as Time Series Forecasting and Predictive Modelling is required. Knowledge of databases like ChromaDB/Pinecone will be an added advantage. This role at UST, a global digital transformation solutions provider, offers the opportunity to work with cutting-edge technologies and make a real impact through transformation. Join our team of over 30,000 employees in 30 countries to innovate and build for boundless impact, touching billions of lives in the process.,

The Senior Data Science Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. Key Responsibilities: 1. Architecting & Scaling Agentic AI Solutions: - Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. - Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. - Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization: - Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. - Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. - Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research: - Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. - Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. - Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact: - Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. - Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building: - Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. - Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents.,

As an AI/ML Trainer at our institution in Bhubaneshwar, you will be responsible for delivering comprehensive lectures on Artificial Intelligence, Machine Learning, Deep Learning, and Data Science to students enrolled in B.Tech, MCA, and M.Sc-IT courses. Your role will involve equipping students with both theoretical knowledge and practical skills essential for industry readiness. Your key responsibilities will include delivering engaging lectures on topics such as Machine Learning Algorithms, Supervised/Unsupervised Learning, Neural Networks, Computer Vision, Natural Language Processing (NLP), and AI model deployment. You will ensure that students gain conceptual clarity and hands-on experience using tools like Python, TensorFlow, Keras, and Scikit-learn. Additionally, you will be expected to continuously update teaching content to align with industry trends and technological advancements. Apart from teaching, you will also be involved in conducting applied research in AI/ML, staying updated with the latest advancements in the field, and supporting students in research and innovation projects. Providing mentorship to students working on AI/ML internships, final year projects, or competitions will be an integral part of your role. Collaboration is key in this position, as you will collaborate with academic peers and industry experts to enhance the AI/ML curriculum and establish connections with AI/ML startups or companies for student internships and collaborative projects. Professional development is encouraged, and you will have the opportunity to participate in workshops, webinars, and conferences to stay abreast of the evolving AI landscape. To qualify for this role, you should possess a Masters degree in Artificial Intelligence, Computer Science, Data Science, or a related field, along with 6 months to 1 year of experience. A strong background in Machine Learning, Deep Learning, and proficiency in Python-based AI tools is essential. Prior teaching or corporate training experience would be highly beneficial. The ideal candidate will demonstrate expertise in AI/ML frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn, along with a strong command over Python, NumPy, Pandas, and Jupyter Notebooks. Excellent communication and presentation skills, analytical thinking, and problem-solving abilities are key competencies required for this role. If you have a passion for teaching and mentoring future AI professionals, we encourage you to apply and be a part of our dynamic and innovative educational environment where you can shape the future of AI/ML professionals while engaging in real-world problem-solving and research-driven teaching. This position offers a competitive salary and benefits package, providing you with the opportunity to make a meaningful impact in the field of AI/ML.,

You are looking to hire a mid-level resource with expertise in Artificial Intelligence (AI), Machine Learning, and Deep Learning. As a Machine Learning Engineer, your responsibilities will include studying and transforming data science prototypes, designing machine learning systems, researching and implementing appropriate ML algorithms and tools, developing machine learning applications based on requirements, selecting datasets and data representation methods, running machine learning tests and experiments, performing statistical analysis and fine-tuning using test results, training and retraining systems when necessary, and staying updated on developments in the field. It is essential that you have proven experience in a similar role, an understanding of data structures, data modeling, and software architecture, deep knowledge of math, probability, statistics, and algorithms, the ability to write robust code in Python, Java, and R, familiarity with TensorFlow framework, Keras, PyTorch, Deeplearning4j, and Anaconda, excellent communication skills, the ability to work in a team, and strong analytical and problem-solving skills. If you meet these requirements and are interested in this position, please send your updated resume to recruiter1@pnrsoftsol.com. This job falls under the category of Artificial Intelligence (AI/ML/DL) with a Job ID of AI_ML_DP_KOL. It is a mid-level position in the IT industry, requiring a minimum of 3 years of work experience. The annual CTC is open, and there are 3 vacancies available with a short notice period. The contact person for this job is TAG, and you can reach out to recruiter1@pnrsoftsol.com for further inquiries or to submit your application.,

You are looking for a Lead AI Engineer with at least 8 years of experience to join UST at Trivandrum. As a Lead AI Engineer, you will be responsible for designing and implementing end-to-end AI/ML solutions using Python and deep learning frameworks like Keras. Your role will involve working with Generative AI and LLM architectures such as GPT-3 and BERT, as well as leading AI/ML teams and mentoring junior engineers. Your key responsibilities will include developing data pipelines and infrastructure using tools like Kafka, Big Data tools, Aurora DB, and ELK Stack. You will also be expected to deploy and optimize ML models on cloud platforms such as AWS, Azure, or GCP. Your expertise in Time Series Forecasting, Predictive Analytics, and Deep Learning will be crucial in translating business requirements into scalable AI solutions. In addition to hands-on experience in AI and Machine Learning, you should have a strong programming background in Python, Keras, and Pandas. Knowledge of advanced ML models like LangChain, GPT-3, and Transformers, as well as analytical models such as Time Series Forecasting, will be highly beneficial. Familiarity with databases like ChromaDB/Pinecone is also desired. Experience with PoC creation, model experimentation, and AI governance principles will be an advantage. You should also keep abreast of emerging trends and tools in the AI/ML space to evaluate their strategic fit and contribute to AI roadmap planning. UST is a global digital transformation solutions provider known for partnering with leading companies to drive real impact through innovation. With a workforce of over 30,000 employees in 30 countries, UST is committed to embedding innovation and agility into its clients" organizations, touching billions of lives in the process.,

As a GEN AI and Machine Learning Engineer, you will be responsible for leveraging your Bachelor's or Masters degree in Computer Science, Data Science, Engineering, or a related field to develop and deploy machine learning and AI models. With a solid foundation in mathematics, statistics, and probability, you will utilize your strong programming skills in Python and proficiency in SQL/NoSQL databases to build analytical approaches based on business requirements. Your hands-on experience with Agentic AI frameworks will be crucial in building AI-driven features and solutions by collaborating with software engineers, business stakeholders, and domain experts. You will have the opportunity to work with Generative AI models and tools like OpenAI, Google Gemini, and Runway ML, in addition to AI/ML and deep learning frameworks such as TensorFlow, PyTorch, Scikit-learn, OpenCV, and Keras. In this role, you will preprocess and analyze large-scale datasets to extract meaningful insights, identify trends, and develop RESTful APIs using Flask or Django. Proficiency in cloud environments like AWS, Azure, or GCP will be essential as you deploy AI/ML applications and continuously monitor model performance for accuracy, scalability, and generalization. Additionally, your familiarity with ML operations tools such as MLFlow, Kubeflow, and CI/CD pipelines will be advantageous in evaluating and optimizing model performance. Experience with Docker, Kubernetes, and container orchestration, as well as frontend technologies like HTML, CSS, JavaScript/jQuery, Node.js, Angular, or React, will be beneficial for this role. Overall, as a GEN AI and Machine Learning Engineer, you will play a key role in designing, developing, and deploying AI/ML, NLP/NLU, and deep learning models and applications. Your ability to document development processes, results, and best practices will contribute to transparency and continuous learning within the organization.,

Senior AI Developer We are looking for a highly skilled and experienced AI Developer to design, develop, and deploy advanced artificial intelligence solutions. The ideal candidate will have a strong background in machine learning, deep learning, and particularly, hands-on experience with Generative AI. You will be instrumental in building intelligent systems, from chatbots to complex web server applications, and will play a key role in identifying and implementing AI-driven opportunities that align with our business objectives. Responsibilities: Design, develop, and deploy robust AI/ML models and algorithms, with a strong focus on Generative AI solutions. Develop and maintain AI-powered applications, including chatbots, conversational AI systems, and web server applications. Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications for AI solutions. Evaluate and select appropriate AI/ML frameworks, models, and protocols for specific use cases, demonstrating a deep understanding of their strengths and limitations. Conduct data analysis, feature engineering, and model training, evaluation, and optimization. Stay up-to-date with the latest advancements in AI, machine learning, and Generative AI research and apply relevant innovations to projects. Ensure the scalability, performance, and reliability of AI systems. Participate in code reviews, contribute to architectural discussions, and maintain high code quality standards. Document technical designs, processes, and results clearly and concisely. Mandatory Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Proven experience in implementing and deploying at least one or two Generative AI solutions. Proficiency in Python with extensive experience in developing AI/ML applications. Strong practical experience in developing and deploying chatbots and conversational AI systems. Demonstrated experience in building and integrating AI models into web server applications. Deep knowledge of various AI models, their underlying principles, and their limitations. Practical knowledge of identifying what use cases can be solved well with Generative AI specifically, and understanding which frameworks, models, and protocols are best suited for different problems. Hands-on experience with various AI/ML libraries and tools such as TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, Keras, etc. Solid understanding of data structures, algorithms, and software development best practices. Excellent problem-solving skills and ability to work independently and as part of a team. Experience in developing and deploying multi-agent applications and systems. Familiarity with recent advancements and concepts in the Generative AI ecosystem, such as MCP, A2A.

We are seeking a skilled Lead Software Engineer to join our team and lead a project focused on developing GenAI applications using Large Language Models (LLMs) and Python programming . In this role, you will be responsible for designing and optimizing Al-generated text prompts to maximize effectiveness for various applications. You will also collaborate with cross-functional teams to ensure seamless integration of optimized prompts into the overall product or system. Your expertise in prompt engineering principles and techniques will allow you to guide models to desired outcomes and evaluate prompt performance to identify areas for optimization and iteration. Responsibilities Design, develop, test and refine AI-generated text prompts to maximize effectiveness for various applications Ensure seamless integration of optimized prompts into the overall product or system Rigorously evaluate prompt performance using metrics and user feedback Collaborate with cross-functional teams to understand requirements and ensure prompts align with business goals and user needs Document prompt engineering processes and outcomes, educate teams on prompt best practices and keep updated on the latest AI advancements to bring innovative solutions to the project Requirements 7 to 12 years of relevant professional experience Expertise in Python programming including experience with Al/machine learning frameworks like TensorFlow, PyTorch, Keras, Langchain, MLflow, Promtflow 2-5 years of working knowledge of NLP and LLMs like BERT, GPT-3/4, T5, etc. Knowledge of how these models work and how to fine-tune them Expertise in prompt engineering principles and techniques like chain of thought, in-context learning, tree of thought, etc. Knowledge of retrieval augmented generation (RAG) Strong analytical and problem-solving skills with the ability to think critically and troubleshoot issues Excellent communication skills, both verbal and written in English at a B2+ level for collaborating across teams, explaining technical concepts, and documenting work outcomes

Job Summary Were seeking a hands-on GenAI & Computer Vision Engineer with 3-5 years of experience delivering production-grade AI solutions. You must be fluent in the core libraries, tools, and cloud services listed below, and able to own end-to-end model developmentfrom research and fine-tuning through deployment, monitoring, and iteration. In this role, youll tackle domain-specific challenges like LLM hallucinations, vector search scalability, real-time inference constraints, and concept drift in vision models. Key Responsibilities Generative AI & LLM Engineering Fine-tune and evaluate LLMs (Hugging Face Transformers, Ollama, LLaMA) for specialized tasks Deploy high-throughput inference pipelines using vLLM or Triton Inference Server Design agent-based workflows with LangChain or LangGraph, integrating vector databases (Pinecone, Weaviate) for retrieval-augmented generation Build scalable inference APIs with FastAPI or Flask, managing batching, concurrency, and rate-limiting Computer Vision Development Develop and optimize CV models (YOLOv8, Mask R-CNN, ResNet, EfficientNet, ByteTrack) for detection, segmentation, classification, and tracking Implement real-time pipelines using NVIDIA DeepStream or OpenCV (cv2); optimize with TensorRT or ONNX Runtime for edge and cloud deployments Handle data challengesaugmentation, domain adaptation, semi-supervised learningand mitigate model drift in production MLOps & Deployment Containerize models and services with Docker; orchestrate with Kubernetes (KServe) or AWS SageMaker Pipelines Implement CI/CD for model/version management (MLflow, DVC), automated testing, and performance monitoring (Prometheus + Grafana) Manage scalability and cost by leveraging cloud autoscaling on AWS (EC2/EKS), GCP (Vertex AI), or Azure ML (AKS) Cross-Functional Collaboration Define SLAs for latency, accuracy, and throughput alongside product and DevOps teams Evangelize best practices in prompt engineering, model governance, data privacy, and interpretability Mentor junior engineers on reproducible research, code reviews, and end-to-end AI delivery Required Qualifications You must be proficient in at least one tool from each category below: LLM Frameworks & Tooling: Hugging Face Transformers, Ollama, vLLM, or LLaMA Agent & Retrieval Tools: LangChain or LangGraph; RAG with Pinecone, Weaviate, or Milvus Inference Serving: Triton Inference Server; FastAPI or Flask Computer Vision Frameworks & Libraries: PyTorch or TensorFlow; OpenCV (cv2) or NVIDIA DeepStream Model Optimization: TensorRT; ONNX Runtime; Torch-TensorRT MLOps & Versioning: Docker and Kubernetes (KServe, SageMaker); MLflow or DVC Monitoring & Observability: Prometheus; Grafana Cloud Platforms: AWS (SageMaker, EC2/EKS) or GCP (Vertex AI, AI Platform) or Azure ML (AKS, ML Studio) Programming Languages: Python (required); C++ or Go (preferred) Additionally: Bachelors or Masters in Computer Science, Electrical Engineering, AI/ML, or a related field 3-5 years of professional experience shipping both generative and vision-based AI models in production Strong problem-solving mindset; ability to debug issues like LLM drift, vector index staleness, and model degradation Excellent verbal and written communication skills Typical Domain Challenges Youll Solve LLM Hallucination & Safety: Implement grounding, filtering, and classifier layers to reduce false or unsafe outputs Vector DB Scaling: Maintain low-latency, high-throughput similarity search as embeddings grow to millions Inference Latency: Balance batch sizing and concurrency to meet real-time SLAs on cloud and edge hardware Concept & Data Drift: Automate drift detection and retraining triggers in vision and language pipelines Multi-Modal Coordination: Seamlessly orchestrate data flow between vision models and LLM agents in complex workflows

Educational Requirements Master Of Engineering,Master Of Science,Master Of Technology,Bachelor Of Comp. Applications,Bachelor Of Science,Bachelor of Engineering,Bachelor Of Technology Service Line Cloud & Infrastructure Services Responsibilities As an Infra AI Automation Programmer you will work on design, development, and deployment of AI systems that generate content or data, often using techniques such as deep learning, neural networks, and generative models using Python backend coding. Meet with clients in and remotely to understand their business objectives, challenges, and identify potential use cases for Generative AI. Assess the client's existing technology infrastructure, data landscape, and AI maturity to determine the feasibility and best approaches for Gen AI adoption. Conduct workshops and discovery sessions to brainstorm Gen AI applications across various business functions (e.g., content creation, customer service, product development, marketing).Gen AI Strategy and Solution Design Develop tailored Gen AI strategies and roadmaps for clients in outlining specific use cases, implementation plans, and expected business outcomes. Design Gen AI solutions architecture, considering factors such as model selection (e.g., large language models (LLMs), diffusion models), data requirements, integration with existing systems, and scalability. Evaluate and recommend appropriate Gen AI platforms, tools, and APIs (e.g., OpenAI, Google AI, Azure AI, open-source libraries) relevant to the client's needs and the Indian market. Advise on prompt engineering techniques to optimize the output and performance of Gen AI models for specific client applications. Additional Responsibilities: Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include: High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills Technical and Professional Requirements: At least 2+ years of programming experience in Python Handson experience in working on Gen AI Handson experience in Tensorflow, Pytorch, Langchain and Prompt Engineering Experience with vector databases and retrieval-augmented generation (RAG). Familiarity with MLOps principles and tools for deploying and managing Gen AI models. Understanding of ethical considerations and responsible AI frameworks. Understanding of data structures, data modelling , SQL & NOSQL Object oriented and functional programming & GIT Knowledge of basic algorithms and object-oriented and functional design principles Deep Knowledge of Mathematics, Probability, Statistics, and Algorithms Good Communication skills Good analytical and problem-solving skills Preferred Skills: Technology-Machine Learning-TensorFlow Technology-Machine Learning-Python Technology-Machine Learning-Generative AI

Educational Requirements Bachelor of Engineering Service Line Information Systems Responsibilities Job Responsibilities:* Design, develop, and deploy AI models and systems using Python, Gen AI, Agentic AI, and other relevant technologies* Collaborate with cross-functional teams to identify business problems and develop AI-powered solutions* Work with large datasets to train and test AI models, and optimize their performance* Apply Prompt Engineering techniques to improve the overall performance of the AI systems* Troubleshoot and debug AI systems to ensure optimal performance and reliability* Provide technical guidance and expertise to ensure high-quality deliverables* Collaborate with the cross functional teams* Participate in code reviews and contribute to the improvement of the overall code quality Additional Responsibilities: Required Qualifications:* Bachelor's or Master's degree in Computer Science, Engineering, or a related field (B.E/B.Tech/M.E/M.Tech/MCA)* At least 3-5 years of experience in software development, with at least 2 years of hands on experience in Gen AI development* Strong proficiency in Python programming language* Hands on experience with LangChain, Gen AI, Agentic AI, and Prompt Engineering* Excellent problem-solving skills, with the ability to analyze complex problems and develop creative solutions* Strong communication and teamwork skills, with the ability to collaborate with cross-functional teams KeywordsLangChain, Python, Fast/Flask API, Gen AI, Agentic AI, Prompt Engineering, Machine Learning, SQL, Kafka Technical and Professional Requirements: Preferred Qualifications:* Certification in AI or a related field, such as Certified Data Scientist or Certified AI Engineer* Experience with other AI frameworks and technologies, such as TensorFlow, PyTorch, or Keras* Familiarity with containerization using Docker and Kubernetes* Experience with agile development methodologies and version control systems, such as Git* Strong understanding of software design patterns, principles, and best practices* Experience with DevOps practices, such as continuous integration and continuous deployment* Knowledge of cloud computing platforms, such as Azure / GCP / AWS Preferred Skills: Technology-Analytics - Solutions-SQL Server - Analytics Technology-Machine Learning-Python Technology-Programing language C-go lang Technology-Machine Learning-Generative AI-retrieval augmented generation (rag)

As a Generative AI Solution Architect with IBM Consulting, you are primarily responsible for designing and implementing complex GenAI solutions using IBM WatsonX and Ecosystem Partner Stacks (Microsoft Azure / Open AI, AWS, Aleph Alpha, as well as Open Source). In addition, you are supporting business development, sales as well as the delivery of consulting and system integration projects in Data & AI for our clients. * You have end-to-end technical responsibility during the acquisition, design and delivery of technically complex GenAI projects at scale * You are accountable for the development and productive deployment of scalable Generative AI applications and platforms, particularly within (hybrid) cloud architectures. * You provide consultation and support to clients and colleagues in architecting and selecting the right technology stack for flexible, scalable, and economical GenAI solutions. * You guide and support clients and colleagues in the adoption of development and operational processes for AI solutions, such as Agile DevOps, FinOps, Trustworthy AI and MLOps methodologies. * You stay abreast of the latest developments in the Artificial Intelligence market and research environment, actively participating in knowledge transfer within IBM Consulting, especially when it comes to mentoring junior team members and delivery teams. * You also develop the strategy, vision, and roadmap for GenAI architectures within our consulting business, contributing to both our immediate sales objectives and long-term business growth. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Professional with at least 5-10 years of experience ideally in data and analytics and/or architecture, including 3 years in the design, build, and implementation of AI/Deep Learning & GenAI solutions. * Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases. * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X). * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source). * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stakeholder Preferred technical and professional experience Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases. * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X). * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source). * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stakeholders.* Fluent in English

We are seeking an experienced AI/ML Engineer to design and implement cutting-edge solutions in the field of Generative AI and Large Language Models (LLMs). This role involves leading the development of intelligent agents, prompt optimization, and scalable AI pipelines, while mentoring team members and driving innovation in applied AI. You will work at the intersection of machine learning, prompt engineering, and production-grade AI orchestration, contributing to the deployment of next-gen cognitive systems across telecom and enterprise environments. Key Responsibilities: AI/ML Development: • Design and develop production-ready AI/ML solutions using LLMs and Generative AI models. • Fine-tune and optimize foundation models for domain-specific use cases. • Architect and deploy Retrieval-Augmented Generation (RAG) pipelines and multi-agent systems. Agentic AI & Prompt Engineering: • Build intelligent AI agents using frameworks such as LangChain, CrewAI, AutoGen. • Engineer effective prompts for complex language tasks and continuous learning environments. • Orchestrate autonomous decision-making pipelines using agent-based design. Model Lifecycle & MLOps: • Implement best practices for responsible AI, model explainability, and fairness. • Own model deployment, monitoring, optimization, and cost control. • Work with MLOps tools for automation and CI/CD in model delivery pipelines. Data Engineering & Preparation: • Handle advanced data preprocessing, feature engineering, and quality checks. • Leverage tools like Pandas, Numpy, Polars for exploration and transformation. • Integrate with vector databases such as Pinecone, ChromaDB, Weaviate for semantic search applications. What You’ll Bring: • 7–11 years of experience as an AI/ML Engineer or Data Scientist with a proven track record in delivering ML solutions to production. • Expertise in: - ML/DL frameworks: TensorFlow, PyTorch, Keras, Sklearn - LLM ecosystems: LangChain, LlamaIndex, CrewAI - Foundation models, RAG pipelines, and agentic AI systems • Strong programming in Python (R is a plus) • Deep knowledge of: - ML/DL algorithms and probabilistic modeling - Statistics, feature engineering, and data wrangling - AI governance and ethical development practices • Hands-on experience in: - Prompt engineering and LLM fine-tuning - Vector databases and memory integration - Model performance tuning, compression, and deployment (ONNX, TorchScript, quantization) Why Join Us? • Impactful Work: Play a key role in building scalable AI solutions that power real-time telecom, messaging, and enterprise platforms. • Tremendous Growth Opportunities: Be part of a dynamic, fast-scaling AI team solving real-world problems. • Innovative Environment: Collaborate with passionate engineers and researchers in a culture that celebrates experimentation, learning, and innovation. Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive workplace for all.

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Responsibilities Develop and expand our core data platform in MS Azure, Fabric building robust data infrastructure and scalable solutions. Enhance datasets and transformation toolsets on the MS Azure platform, leveraging distributed processing frameworks to modernize processes and expand the codebase Design and maintain ETL pipelines to ensure data is transformed, cleaned, and standardized for business use. Collaborate with cross-functional teams to deliver high-quality data solutions, contributing to both UI and backend development while translating UX/UI designs into functional interfaces. Develop scripts for building, deploying, and maintaining data systems, while utilizing tools for data exploration, analysis, and visualization throughout the project lifecycle. Utilize SQL and NoSQL databases for effective data management and support Agile practices with tools like Jira and GitHub. Contribute to technology standards and best practices in data warehousing and modeling, ensuring alignment with overall data strategy. Lead and motivate teams through periods of change, fostering a collaborative and innovative work environment. Skills and Competencies 3-6 years of cloud-based data engineering experience, with expertise in Microsoft Azure and other cloud platforms. Proficient in SQL and experienced with NoSQL databases, message queues, and streaming platforms like Kafka. Strong knowledge of Python and big data processing using PySpark, along with experience in CI/CD pipelines (Jenkins, GitHub, Terraform). Familiar with machine learning libraries such as TensorFlow and Keras, and skilled in data visualization tools like Power BI/Fabric and Matplotlib. Expertise in data wrangling, including cleaning, preprocessing, and transformation, with a solid foundation in statistics and probability. Excellent communication skills for engaging with technical and non-technical audiences across all organizational levels. Experience in UI development, translating UX/UI designs into code, data warehousing concepts, API development and integration, and workflow orchestration tools is desired. Education Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a related field Relevant certifications in data science and machine learning are a plus About the team Our Technology Services Group (TSG) Team is responsible for delivering Innovative, data driven tech solutions. We build solutions that power analytics, enable machine learning, and provide critical insights across the organization. By joining our team, you will be part of exciting work in building scalable, next-generation data solutions that directly impact business strategy. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

We are looking to hire a Computer Vision Engineer for our Tech team where you will be responsible for development and optimization of various computer vision algorithms/pipelines for video surveillance. Job responsibilities: Development of object detection, classification, tracking, and counting algorithms Porting of already existing algorithms/pipelines to GPU Optimization of already existing cpu/gpu algorithms/pipelines Required Skills: Proficiency in any programming language preferably C++ or Python. Strong understanding of image processing, computer vision algorithms and machine learning High competency with image processing, computer vision and machine learning libraries such as OpenCV, Keras, OpenVino, Deepstream, Pytorch, Tensorflow Experience with rapid prototyping with e.g. Python, OpenCV Previous work in video surveillance is a big plus Should work independently as well as with team Job Types: Full-time, Permanent Pay: ₹400,000.00 - ₹600,000.00 per year Benefits: Food provided Health insurance Provident Fund Ability to commute/relocate: Gurugram, Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required) Work Location: In person Application Deadline: 30/05/2025

Job Summary: The Specialist - Software Development (Artificial Intelligence) leads the design, development, and implementation of AI and machine learning solutions that address complex business challenges. This role requires expertise in AI algorithms, model development, and software engineering best practices. The individual will work closely with cross-functional teams to deliver intelligent systems that enhance business operations and decision-making. Key Responsibilities: • AI Solution Design & Development: o Lead the development of AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. o Design, train, and optimize machine learning models using frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn. o Implement advanced algorithms for supervised and unsupervised learning, reinforcement learning, and computer vision. • Software Development & Integration: o Develop scalable AI models and integrate them into software applications using languages such as Python, R, or Java. o Build APIs and microservices to enable the deployment of AI models in cloud environments or on-premise systems. o Ensure that AI models are integrated with back-end systems, databases, and other business applications. • Data Management & Preprocessing: o Collaborate with data scientists and data engineers to gather, preprocess, and analyze large datasets. o Develop data pipelines to ensure the continuous availability of clean, structured data for model training and evaluation. o Implement feature engineering techniques to enhance the accuracy and performance of machine learning models. • AI Model Evaluation & Optimization: o Regularly evaluate AI models using performance metrics (e.g., precision, recall, F1 score) and fine-tune them to improve accuracy. o Perform hyperparameter tuning and cross-validation to ensure robust model performance. o Implement methods for model explainability and transparency (e.g., LIME, SHAP) to ensure trustworthiness in AI decisions. • AI Strategy & Leadership: o Collaborate with business stakeholders to identify opportunities for AI adoption and develop project roadmaps. o Provide technical leadership and mentorship to junior AI developers and data scientists, ensuring adherence to best practices in AI development. o Stay current with AI trends and research, introducing innovative techniques and tools to the team. • Security & Ethical Considerations: o Ensure AI models comply with ethical guidelines, including fairness, accountability, and transparency. o Implement security measures to protect sensitive data and AI models from vulnerabilities and attacks. o Monitor the performance of AI systems in production, ensuring they operate within ethical and legal boundaries. • Collaboration & Cross-Functional Support: o Collaborate with DevOps teams to ensure AI models are deployed efficiently in production environments. o Work closely with product managers, business analysts, and stakeholders to understand requirements and align AI solutions with business needs. o Participate in Agile ceremonies, including sprint planning and retrospectives, to ensure timely delivery of AI projects. • Continuous Improvement & Research: o Conduct research and stay updated with the latest developments in AI and machine learning technologies. o Evaluate new tools, libraries, and methodologies to improve the efficiency and accuracy of AI model development. o Drive continuous improvement initiatives to enhance the scalability and robustness of AI systems. Required Skills & Qualifications: • Bachelor’s degree in computer science, Data Science, Artificial Intelligence, or related field. • 5+ years of experience in software development with a strong focus on AI and machine learning. • Expertise in AI frameworks and libraries (e.g., TensorFlow, PyTorch, Keras, Scikit-learn). • Proficiency in programming languages such as Python, R, or Java, and familiarity with AI-related tools (e.g., Jupyter Notebooks, MLflow). • Strong knowledge of data science and machine learning algorithms, including regression, classification, clustering, and deep learning models. • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying AI models and managing data pipelines. • Strong understanding of data structures, databases, and large-scale data processing technologies (e.g., Hadoop, Spark). • Familiarity with Agile development methodologies and version control systems (Git). Preferred Qualifications: • Master’s or PhD in Artificial Intelligence, Machine Learning, or related field. • Experience with natural language processing (NLP) techniques (e.g., BERT, GPT, LSTM, Transformer models). • Knowledge of computer vision technologies (e.g., CNNs, OpenCV). • Familiarity with edge computing and deploying AI models on IoT devices. • Certification in AI/ML or cloud platforms (e.g., AWS Certified Machine Learning, Google Professional Data Engineer).

Assistant Manager - Technology Date: Jul 24, 2025 Location: Hyderabad, IN Requisition ID: 16788 Description: About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes Position Summary : The Technical Lead with 6-10 years of experience will oversee the development, maintenance, and optimization of software applications. This role requires a deep understanding of both front-end and back-end technologies with MERN stack and leadership skills to mentor and guide a team of developers. The ideal candidate should be passionate about technology, thrive in a collaborative environment, and has a proven track record of delivering high-quality software solutions. Responsibilities : Lead the design, development, and deployment of large scale software applications using the MERN stack. Collaborate with product managers, architects and other stakeholders to understand requirements and translate into technical specifications. Provide technical guidance and mentor the team. Create and own High-Level Design, Low Level Design for each of the Software applications. Perform code reviews, maintain code quality, standard and provide constructive feedback to team members. Troubleshoot complex technical issues. Manage project timelines and deliverables. Learn, acquire, and get certified on new technologies as demanded by project Any exposure and experience in AI, ML and Data Science will be of additional advantage . REQUIRED SKILLS Strong proficiency in design, development, maintenance, and support of software applications with proven experience in Node.js React.js (having knowledge of Angular will be an additional advantage) RDMS (Oracle/SQL Server/Postgres) SQL NoSQL databases like Mongo Proficiency in front-end technologies such as HTML, CSS and JavaScript. Experience in Open-Source Technologies. Preferable: Knowledge of database management tools like Liquibase / Hibernate Well-versed in Devops (e.g. Azure DevOps) and cloud PaaS. Cloud-based (AWS/Azure) deployment of models, performance monitoring and troubleshooting Familiarity with Docker and Git Good understanding of coding standards, ability to debug. Excellent written and oral communication skills Ability to work effectively in a cross-functional team and proven ability to lead and mentor a team. Added advantage: Exposure to AI/ML frameworks in Keras, Pytorch, libraries scikit-learn Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles POSITION SPECIFICATIONS Bachelor’s degree in computer science, Information Technology, Electronics Communication. Other branches of engineering with proven skills through past experience / projects can also apply. ️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Job Title: Data Science Trainer Company: HERE AND NOW Artificial Intelligence Research Institute Location: HERE AND NOW AI, Salem About Us At the HERE AND NOW Artificial Intelligence Research Institute, we are at the forefront of AI innovation. Our mission is to empower the next generation of AI professionals through comprehensive education, innovative AI applications, and groundbreaking research. We are looking for a passionate and experienced Data Science Trainer to join our team and help us achieve our goals. Job Description Title: Data Science Trainer Location: Salem, Tamil Nadu Job Type: Part-Time / Contract Date of Training: 28.07.2025 Experience: Minimum 2 years in Data Science, Machine Learning, or AI domain Industry: IT Training / EdTech / Technical Education About the Role We are hiring a dedicated and skilled Data Science Trainer in Salem to deliver hands-on training in Python for Data Science, Machine Learning, Big Data Analytics, and Deep Learning. If you're passionate about teaching and mentoring aspiring data scientists, this is your chance to contribute to the AI revolution. Responsibilities Deliver interactive classroom or virtual sessions covering: Data Science: Python, Pandas, NumPy, Matplotlib, Statistics, Machine Learning (Supervised & Unsupervised), Model Evaluation, Real-world Projects. Big Data Analytics: Hadoop Ecosystem (HDFS, MapReduce, Hive, Pig, Sqoop, Flume), Apache Spark, Spark SQL, Spark MLlib, NoSQL basics (MongoDB/Cassandra). Deep Learning: Neural Networks, CNN, RNN, LSTM, GANs, using TensorFlow, Keras, and Google Colab. Design and customize curriculum for beginner to intermediate learners. Facilitate real-time mini-projects, assignments, and model-building activities. Evaluate student progress and provide mentorship. Collaborate with academic and placement teams to ensure outcomes align with industry needs. Required Skills Strong understanding of Python and ML libraries (Pandas, Scikit-learn, Matplotlib, Seaborn). Proficiency in Big Data tools: Hadoop, Spark, Hive. Familiarity with Deep Learning frameworks: TensorFlow, Keras. Understanding of statistical concepts and machine learning algorithms. Excellent communication, presentation, and mentoring skills. Willingness to conduct sessions at our Salem center. Preferred Qualifications B.E./B.Tech/MCA/M.Sc in Computer Science, Data Science, or related fields. Training experience in Data Science, Big Data, or AI. Certification in Data Science/Machine Learning/Big Data preferred. Exposure to cloud tools (AWS/GCP) and BI tools (Power BI/Tableau) is a plus. Benefits Competitive salary + performance-based incentives Opportunity to be part of a growing AI research and training community Certificate of contribution for each training batch Job Types: Part-time, Fresher, Contractual / Temporary, Freelance Benefits: Flexible schedule Food provided Paid sick time Schedule: Day shift Supplemental Pay: Commission pay Performance bonus Shift allowance Experience: total work: 2 years (Required) Work Location: In person

Job Description: We are looking for a Senior AI Developer with 4+ years of solid experience in AI, Machine Learning, Deep Learning, and Computer Vision. The ideal candidate should have a strong technical foundation in LLMs, RAG frameworks, and agentic AI systems, along with the ability to lead teams, interact with clients, and represent the company professionally. This is a client-facing role that requires both technical expertise and a presentable, confident personality capable of engaging with clients and guiding internal teams toward successful project execution. No. of Vacancies: 1 Required Skills: Python (advanced level) Machine Learning & Deep Learning Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Agentic AI frameworks (e.g., LangChain) Computer Vision (image recognition, object detection, segmentation) REST API development (Flask / FastAPI / Django) PyTorch, TensorFlow, OpenCV Team handling & mentoring Client communication & presentation skills Strong analytical & problem-solving ability Confident and professional presence Responsibilities: Design, build, and optimize LLMs, RAG-based frameworks, and deep learning models for production use. Develop AI agents using frameworks like LangChain or Auto-GPT. Lead the creation of computer vision models for image recognition, object detection, and video analysis. Build and integrate scalable AI services via REST APIs using Flask, FastAPI, or Django. Mentor and lead a small team of AI/ML engineers; review code, set best practices, and ensure timely delivery. Communicate with clients to gather technical requirements, provide updates, and present solutions clearly and confidently. Take ownership of end-to-end technical delivery, from design to deployment and ongoing optimization. Stay up to date with emerging AI/ML technologies and apply them where relevant. Nices to have Cloud experience: AWS / GCP / Azure. Familiarity with CI/CD pipelines and MLOps practices. Experience with platforms like Hugging Face, Keras, or Scikit-learn. Exposure to edge or mobile AI model deployment. Knowledge of reinforcement learning or other advanced AI areas. Preferred Qualifications: 4+ years of experience in AI/ML, with hands-on expertise in LLMs, RAG, and computer vision. Strong knowledge of Python, with experience in PyTorch, TensorFlow, OpenCV, etc. Proven experience developing and deploying RESTful APIs for AI models. Working knowledge of agentic LLM frameworks like LangChain. Prior experience in leading a team or mentoring junior developers. Strong problem-solving ability, project ownership, and attention to detail. Excellent verbal and written communication skills for client interaction. Presentable and confident personality – capable of representing the team in external discussions and demos. Full time Adajan | Bhatar Exp. 4+ Years

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Job Description The development engineer will be part of a team working on the development of the Illustrator product in our creative suite of products. They will be responsible for the development of new features and maintenance of existing features and will be responsible for all phases of development, from early specs and definition to release. They are expected to be hands-on problem solvers and well conversant in analyzing, architecting,, and implementing high-quality software. Requirements B.Tech. / M.Tech. in Computer Science from a premiere institute. Should have excellent knowledge in the the fundamentals of machine learning and artificial intelligence. Should have hands on experience through ML lifecycle from EDA to model deployment. Should have hands on experience data analysis tools like Jupyter, and packages like Numpy, Matplotlib etc. Should be hands-on in writing code that is reliable, maintainable, secure, performance optimized, multi-platform and world-ready Familiarity with state-of-art deep learning frameworks, such as Tensorflow, PyTorch, Keras, Caffe, Torch. Strong programming skills in C/C++ and Python. Hands-on experience with data synthesis and processing for the purpose of training a model. Relevant work experience in the fields of computer vision and graphics, etc. Experience: 2-4 Years in ML Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Job Title: AI Engineer Location: Kolkata, India Company: GWC (Global We Connect) Job Type: Full-Time Experience Level: Mid to Senior Level Position Summary We are looking for a talented and proactive AI Engineer to join our growing team in Kolkata. As an AI Engineer at GWC, you will work closely with data scientists, software developers, and product managers to design, develop, and deploy AI/ML models that solve real-world business problems across various domains. Key Responsibilities Design, develop, and deploy scalable machine learning and deep learning models. Collaborate with cross-functional teams to integrate AI solutions into enterprise platforms and applications. Process, clean, and analyze large data sets to uncover trends and patterns. Develop and maintain AI pipelines using tools like TensorFlow, PyTorch, Scikit-learn, etc. Apply NLP, computer vision, or recommendation systems depending on project needs. Research and implement novel algorithms and techniques. Monitor and evaluate model performance and retrain as necessary. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields. 2–5 years of experience in machine learning, AI, or data science roles. Strong programming skills in Python; familiarity with R, Java, or C++ is a plus. Proficiency with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn). Experience with data processing tools like Pandas, NumPy, and SQL. Familiarity with cloud platforms (AWS, Azure, or GCP) and version control systems like Git. Solid understanding of statistical analysis, data modeling, and algorithm design. Excellent problem-solving abilities and communication skills. Preferred Qualifications Experience with MLOps tools such as MLflow, Airflow, or Kubeflow. Background in deploying AI models in production environments (REST APIs, microservices). Exposure to NLP (spaCy, HuggingFace) or computer vision (OpenCV, YOLO, etc.). Contributions to open-source projects or participation in AI research. Job Type: Full-time Pay: ₹300,000.00 - ₹500,000.00 per year Schedule: Day shift Work Location: In person Application Deadline: 31/07/2025 Expected Start Date: 01/08/2025

What you’ll do Independently validate models across multiple financial domains, including consumer and commercial credit risk, marketing, fraud, account management to ensure their accuracy, reliability, and compliance. Utilize Google Cloud Platform (GCP) to enhance efficiency by automating workflows and improving process integration. Execute AI validation projects, contributing to their conceptualization, planning, and successful implementation in alignment with organizational goals. Engage with various departments to ensure cohesive strategy implementation, sharing insights, and fostering a collaborative work environment. Contribute expertise to the development of policies that guide AI practices and model risk management, ensuring regulatory compliance and ethical standards. Stay current with industry best practices and regulatory guidelines related to model risk management What Experience You Need 3 - 5 years of experience in developing and/or validating models, with a good understanding of industry-specific requirements and challenges. Demonstrated expertise in AI techniques (Machine learning, natural language processing, deep learning) and their applications. Experience with ML libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, or equivalent is recommended. Advanced level programming in Python and SQL. Strong interpersonal skills with the ability to build effective relationships and collaborate effectively with partners. Experience collaborating with partners, stakeholders, and teams across multiple geographies and levels of the organization. In-depth knowledge and practical experience in credit risk and fraud models. Master’s degree or higher in Statistics, Mathematics, Engineering, Economics, Data Science, or other relevant discipline, demonstrating a high level of expertise and commitment to the field. What could set you apart Familiarity with regulatory requirements and guidelines related to Model Risk Management. Prior regulatory modeling development experience including ECL, Stress testing, CECL/IFRS9. First-hand experience on cloud-based platforms including GCP & AWS. Excellent communication and presentation skills.

Job Description: - You'll be Responsible for: Design, develop and implement cutting-edge AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications Lead projects end-to-end while mentoring team members in AI-ML, including traditional ML and emerging AI technologies Drive innovation in AI agent development and orchestration for automated decision-making systems Establish best practices for responsible AI development and deployment What you'd have: AI-ML Engineer or Data Scientist with 3 - 11 years of relevant experience Strong expertise in modern AI frameworks and tools: ML/DL frameworks (TensorFlow, PyTorch, Keras, Sklearn) LLM frameworks (LangChain, LlamaIndex, CrewAI, AutoGen) Vector databases (Pinecone, Weaviate, ChromaDB) Good To Have Hands-on experience with: Generative AI and foundation models Prompt engineering and LLM fine-tuning AI agent development and orchestration RAG (Retrieval-Augmented Generation) systems Proven experience in data preparation, including: Advanced data preprocessing techniques Feature engineering Data quality assessment and improvement Proficiency in data exploration tools (Pandas, Numpy, Polars) Strong programming skills in Python; R is a plus Deep understanding of: Statistics and probability ML/DL algorithms AI governance and responsible AI practices Experience with: Large-scale data processing Model deployment and MLOps Cost optimization for AI systems Track record of 3-5 successful AI/ML projects in production Excellent communication skills and team leadership ability Continuous learning mindset for emerging AI technologies Skills: Statistics and Mathematics Classical Machine Learning Deep Learning and Neural Networks Generative AI and LLMs Agentic AI Development MLOps and Production Engineering Data Engineering Model Optimization and Tuning AI Governance and Ethics Team Leadership Why join us? Impactful Work: Play a pivotal role in safeguarding Tanla's assets, data, and reputation in the industry. Tremendous Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with opportunities for professional development. Innovative Environment: Work alongside a world-class team in a challenging and fun environment, where innovation is celebrated. Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com