1294 Deep Learning Jobs

Job Title: Assistant Manager - Learning designer (AI/ML) Location: HSR, Bangalore (Work from office) Experience Required: Minimum 4 years Department: Product Innovation Employment Type: Full-time Role Overview: We are looking for a passionate AI/ML Subject Matter Expert with a strong background in Artificial Intelligence, Machine Learning, Python, and Deep Learning to support our course development initiatives. As an SME, you will collaborate with the content, instructional design, and product teams to create high-quality, industry-relevant learning content. Key Responsibilities: Research and stay updated on emerging trends, tools, and technologies in AI/ML, Python, Deep Learning, and Data Science. Contribute to designing, reviewing, and refining Simplilearns AI/ML curriculum and learning paths. Create and validate course content including learning objectives, project ideas, assessments, and use cases. Work closely with instructional designers to ensure technical accuracy and pedagogical effectiveness. Support the content production team with scripting, reviewing, and storyboarding. Participate in webinars, doubt sessions, and learner engagement activities when required. Guide the integration of industry use-cases and capstone projects to enhance learner outcomes. Required Skills and Qualifications: Minimum 4 years of hands-on experience in AI/ML and related technologies. Proficiency in Python, with experience in libraries like NumPy, Pandas, Scikit-learn, TensorFlow, Keras, or PyTorch. Strong understanding of machine learning algorithms, data preprocessing, deep learning models, and NLP. Good analytical and communication skills. Experience in curriculum development or content creation is a strong plus. Exposure to e-learning, edtech, or training is desirable. Nice to Have: Published work, blogs, or GitHub projects in AI/ML. Experience with LLMs, GenAI, or RAG frameworks. Prior instructional design or teaching experience. Exposure in effectively lead and manage a team by allocating tasks based on individual strengths and capabilities to ensure optimal performance and successful project delivery.

Shift: (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: Machine Learning, ML, ml architectures and lifecycle, Airflow, Kubeflow, MLFlow, Spark, Kubernetes, Docker, Python, SQL, machine learning platforms, BigQuery, GCS, Dataproc, AI Platform, Search Ranking, Deep Learning, Deep Learning Frameworks, PyTorch, TensorFlow About the job Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements. Who We Are Wayfairs Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. What youll do Provide technical leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine learning techniques to support recommendations for Ads campaigns and other optimizations. Design, build, deploy and refine extensible, reusable, large-scale, and real-world platforms that optimize our ads experience. Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped machine learning solutions Collaborate closely with various engineering, infrastructure, and machine learning platform teams to ensure adoption of best-practices in how we build and deploy scalable machine learning services Identify new opportunities and insights from the data (where can the models be improved? What is the projected ROI of a proposed modification?) Research new developments in advertising, sort and recommendations research and open-source packages, and incorporate them into our internal packages and systems. Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on. We Are a Match Because You Have: Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or related field. 6-9 years of industry experience in advanced machine learning and statistical modeling, including hands-on designing and building production models at scale. Strong theoretical understanding of statistical models such as regression, clustering and machine learning algorithms such as decision trees, neural networks, etc. Familiarity with machine learning model development frameworks, machine learning orchestration and pipelines with experience in either Airflow, Kubeflow or MLFlow as well as Spark, Kubernetes, Docker, Python, and SQL. Proficiency in Python or one other high-level programming language Solid hands-on expertise deploying machine learning solutions into production Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity Nice to have Familiarity with Machine Learning platforms offered by Google Cloud and how to implement them on a large scale (e.g. BigQuery, GCS, Dataproc, AI Notebooks). Experience in computational advertising, bidding algorithms, or search ranking Experience with deep learning frameworks like PyTorch, Tensorflow, etc.

Job Summary We are looking for an experienced Data Scientist with 3 to 5 years of hands-on experience in building and deploying machine learning and natural language processing (NLP) models. The ideal candidate should have a solid foundation in AI, strong problem-solving abilities, and a passion for applying ML/NLP techniques to solve real-world challenges. Experience in designing AI agents or working with LLMs is a strong advantage. Key Responsibilities Develop, train, and deploy machine learning and NLP models to support business and product goals. Conduct end-to-end model lifecycle management, including feature engineering, model selection, evaluation, and optimization. Perform exploratory data analysis (EDA), hypothesis testing, and derive actionable insights. Design and build AI agents and workflows that interact with LLMs and integrate into larger systems. Collaborate with cross-functional teams including product, engineering, and design to deliver AI-driven solutions. Stay updated with advancements in GenAI, LLMs, and emerging trends in the AI ecosystem. Required Qualifications Bachelors or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 3–5 years of experience in applied machine learning, NLP, or AI model development. Proficiency in Python and commonly used data science libraries (e.g., Pandas, NumPy, Scikit-learn, Transformers). Hands-on experience with NLP frameworks (e.g., Hugging Face, spaCy) and model fine-tuning. Strong understanding of supervised/unsupervised learning, vectorization techniques, and evaluation metrics. Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications Experience working with large language models (LLMs) and vector databases. Exposure to building AI agents, autonomous workflows, or prompt engineering. Familiarity with cloud platforms (e.g., AWS) and scalable ML infrastructure. Understanding of MLOps practices for model deployment and monitoring.

Dear Candidate, We are seeking a Machine Learning Engineer to develop predictive models and deploy them into production. Ideal for professionals passionate about AI and data science. Key Responsibilities: Develop and train machine learning models Preprocess and analyze large datasets Deploy models using scalable infrastructure Collaborate with product teams to integrate ML solutions Required Skills & Qualifications: Strong knowledge of Python and ML libraries (scikit-learn, TensorFlow, PyTorch) Experience with data preprocessing and feature engineering Familiarity with model deployment techniques Bonus: Experience with cloud ML services (AWS SageMaker, Google AI Platform) Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

The Data Scientist-3 in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. Key Requirements of The Role - Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 7 - 10 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets. Strong experience in NLP, time series forecasting and recommendation engines preferred Create great data stories with expertise in robust EDA and statistical inference. Should have at least a foundational understanding in Experimentation design Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe preferred Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting. Should be proficient in developing production ready code as per best practices. Experience in using Scala/Java/Go based libraries a big plus Very proficient is SQL and other relational databases along with PySpark or Spark SQL. Proficient is using NoSQL databases. Experience in using GraphDBs like Neo4j a plus. Candidate should be able to handle unstructured data with ease. Candidate should have experience in working with MLEs and be proficient (with experience) in using MLOps tools. Should be able to consume the capabilities of said tools with deep understanding of deployment lifecycle. Experience in CI/CD deployment is a big plus. Knowledge of key concepts in distributed systems like replication, serialization, concurrency control etc. a big plus Good understanding of programming best practices and building code artifacts for reuse. Should be comfortable with version controlling and collaborate comfortably in tools like git Ability to create frameworks that can perform model RCAs using analytical and interpretability tools. Should be able to peer review model documentations/code bases and find opportunities Experience in end-to-end delivery of AI driven Solutions (Deep learning , traditional data science projects) Strong communication, partnership and teamwork skills Should be able to guide and mentor teams while leading them by example. Should be an integral part of creating a team culture focused on driving collaboration, technical expertise and partnerships with other teams Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space Experience in Banking and financial services is a plus. However, sound logical reasoning and first principles problem solving are even more critical A typical day in the life of the job role: 1. As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions 2. Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem 3. Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development 4. Build re-usable code analytical frameworks to address commonly occurring business questions 5. Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty 6. Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges 7. The role will be an approximate 60% IC 40% leading and the ratios can vary basis need and fit 8. Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP) to enhance the single view of our customer .

AI/ML Engineer to join our fast-growing. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and AI-driven applications that deliver business value and customer impact. Key Responsibilities Research and develop machine learning models using supervised, unsupervised, or reinforcement learning techniques. Deploy models into production using MLOps best practices (e.g., containerization, CI/CD, model monitoring). Work on datasets involving structured and unstructured data (e.g., text, image, video, time-series). Collaborate with data engineers, product managers, and other stakeholders to define problem statements and deliver solutions. Continuously improve model performance and scalability using experimentation and model evaluation techniques. Stay updated with the latest trends and breakthroughs in AI/ML (e.g., LLMs, transformers, generative AI). Required Qualifications Bachelors/Masters/Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong coding skills in Python (must), with knowledge of libraries like scikit-learn, PyTorch, TensorFlow, Hugging Face, OpenCV , etc. Experience building and tuning ML models from scratch. Solid understanding of ML lifecycle, from data preprocessing to model deployment. Hands-on with SQL , data manipulation tools ( Pandas , NumPy ), and visualization tools ( Matplotlib , Seaborn , Plotly ). Experience with cloud platforms (AWS/GCP/Azure) and tools like Docker, Kubernetes, MLflow is a plus. Preferred Skills Exposure to NLP , LLMs , chatbots , speech processing , or computer vision applications. Experience with GenAI models like GPT, DALL•E, or stable diffusion. Knowledge of prompt engineering, vector databases (like FAISS, Pinecone ), or LangChain is a bonus. Publications or participation in AI/ML competitions (e.g., Kaggle, NeurIPS, CVPR) is a strong plus.

Title Gen AI Developer Mandatory Skills Python, Deep Learning, LLM, Langchain, RAG and Gen AI. Preferred Skills GCP/Any cloud. Mandatory Skills: AI Cognitive. Experience3-5 Years.

We are looking for an expert in machine learning to help us extract value from our Electromyography [EMG] data You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field Qualifications:- Knowledge of ML-AI tools is mandatory, and- Bachelor's Degree in Engineering or equivalent education or job experience Skills, Abilities, Competencies Required: Must have excellent interpersonal and communication skills (verbal and written) Willingness to work flexible hours as needed Be able to follow detailed procedures and ensure accuracy and quality in documentation and data Must have the ability to adapt to changing pace within the company, with frequent interruptions Must demonstrate flexibility and willingness to adapt to diverse roles as a member of the core team Willingness to learn needed skills on the job in order to enhance performance Proficient in using Google Workspace

Lead Data Scientist role. Work Location- Hyderabad/ Remote Exp-7+ Years Relevant Notice Period- Immediate Lead Data Scientist Relevant Experience: 7+ Years Job Overview: We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Deep Learning (DL). Mandatory Skills • 5+ years of work experience in writing code in Python • Experience in using various Python libraries like Pandas, NumPy • Experience in writing good quality code in Python and code refactoring techniques (e.g., IDE’s – PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black) • Strong experience on AI assisted coding experience. • AI assisted coding for existing IDE's like vscode. • Experimented multiple AI assisted tools and done research around it. • Deep understanding of data structures, algorithms, and excellent problem-solving skills • Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation • Machine Learning libraries like Scikit-learn, XGBoost • Experience in CV, NLP or Time Series. • Experience in building models for ML tasks (Regression, Classification) • Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mecanism, Embeddings • Experience of model training and serving on any of the cloud environments (AWS, GCP, Azure) • Experience in distributed training of models on Nvidia GPU’s • Familiarity in Dockerizing the model and create model end points (Rest or gRPC) • Strong working knowledge of source code control tools such as Git, Bitbucket • Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous • Strong drive to learn and master new technologies and techniques • Strong communication and collaboration skills • Good attitude and self-motivated Mandatory Skills- *Strong Python coding, Machine Learning, Software Engineering, Deep Learning, Generative AI, LLM, AI Assisted coding tools.*Responsibilities: Develop machine learning models using Python & NLP techniques. Optimize data pipelines for efficiency & accuracy. Collaborate with cross-functional teams on product development.

Role - GenAI Expert Location - Bengaluru/Hyderabad/Noida/Gurgaon/Pune Role & responsibilities Solve real-world problems using cutting-edge LLM/GenAI/GPT technologies. Develop and deploy Python-based applications on Azure/AWS. Lead proof-of-concept to production transitions for AI/Data Science solutions. Collaborate with clients on innovative GenAI use cases. Preferred candidate profile Holds a B.Tech/BE (CS) or Masters (ML/Stats) from a Tier 1-2 institute. Strong hands-on experience with Python, SQL, and web frameworks (Flask/Django). Familiarity with frontend technologies (HTML, JavaScript, React) is a plus. Life Sciences/Pharma background? Even better! Perks and benefits Health Benefits Retirement Benefits Paid Time Off Flexible Benefits Hybrid / Full-Time Office / Remote options Inclusive environment encouraging diverse perspectives and ideas. Challenging and unique opportunities to contribute to a transforming organization. Technical challenges with global impact. Self-development support: Axtria Institute, external certifications, knowledge sharing. Sponsored Tech Talks & Hackathons. Possibilityto relocate to any Axtria office for short/long-term projects . Please note: We are looking for immediate joiners or professionals who can join on short notice. Candidates who have interviewed with us in the last 3 to 6 months are requested to skip this email.

We are seeking a Machine Learning Engineer with a strong background in AI/ML techniques and expertise in computer vision . The ideal candidate will have experience with model fine-tuning , working with pre-trained models, and deploying machine learning solutions at scale. You will be responsible for developing, optimizing, and fine-tuning ML models for various AI-powered applications, including image and video analysis, object detection, and more. Key Responsibilities: Design, build, and fine-tune machine learning models for computer vision applications, such as object detection, segmentation, image classification, and scene understanding. Leverage pre-trained models (e.g., CNNs, transformers, YOLO , etc.) and perform fine-tuning to adapt them to specific use cases. Optimize model performance by implementing cutting-edge techniques in transfer learning, regularization, and hyperparameter tuning. Work closely with data scientists, engineers, and product teams to deliver AI solutions that meet business requirements. Develop scalable solutions and deployment pipelines to operationalize machine learning models. Maintain a strong focus on the efficiency of models, ensuring high speed and low latency in production environments. Stay up-to-date with the latest trends and technologies in AI, machine learning, and computer vision, applying this knowledge to improve existing solutions. Conduct rigorous evaluation of models using relevant metrics and implement strategies for performance improvement. Troubleshoot and resolve model-related issues in production environments. Required Qualifications: Bachelor's/Master's/PhD in Computer Science 3+ years of experience in machine learning or deep learning, with a focus on computer vision . Expertise in model fine-tuning , transfer learning, and working with pre-trained models (e.g., ResNet, VGG, EfficientNet, etc.). Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, or similar. In-depth understanding of deep learning architectures (e.g., CNNs, RNNs, transformers). Familiarity with vision-specific tasks such as image classification , object detection , semantic segmentation , and image generation . Hands-on experience with training large models and optimizing them for performance and resource constraints. Knowledge of data preprocessing, augmentation, and labeling techniques for vision tasks. Proficiency in programming languages such as Python, C++, or similar. Strong understanding of model evaluation techniques and metrics for computer vision tasks (e.g., mAP, IoU, AUC ). Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker is a plus.

We are looking for experienced ML Ops Engineer with 3+ years of experience, specializing in Machine Learning. In this role, you will be responsible for developing ML infrastructure around LLMs/ML Models. The ideal candidate will possess a deep understanding of the ML lifecycle and infrastructure. Key Responsibilities: Collaboration: Work closely with data scientists and ML engineers throughout the ML lifecycle, supporting model development, deployment, and monitoring. ML Ops Pipeline Development: Design, implement, and optimize ML Ops pipelines using tools and frameworks such as TensorFlow Serving, Kubeflow, MLflow, or similar technologies. Data Pipeline Engineering: Build and maintain data pipelines and infrastructure necessary for enterprise-scale machine learning applications, focusing on tasks like data ingestion, preprocessing, transformation, feature engineering, and model training. Cloud Implementation: Develop cloud-based ML Ops solutions on cloud platforms like AWS, Azure, GCP. Containerization Skills: Familiarity with containerization technologies like Docker and Kubernetes. Model Deployment and Monitoring: Deploy and monitor various machine learning models in production, including text/NLP and generative AI models. CI/CD Automation: Build and maintain CI/CD pipelines using tools such as GitLab CI, GitHub Actions, or Airflow to streamline the ML lifecycle. Model Review and Quality Assurance: Participate in data science model reviews, focusing on code optimization, containerization, deployment, versioning, and quality monitoring. Support Data Model Development: Contribute to data model development with an emphasis on auditability, versioning, and data security, implementing practices like lineage tracking and model explainability. Mentorship: Provide guidance and support to junior engineers, fostering a collaborative and innovative team environment. Experience: Minimum of 3+ years of relevant work experience in ML Ops. Domain Knowledge: Strong expertise in Generative AI, advanced NLP, and machine learning techniques. Production Experience: Proven experience in deploying and maintaining production-grade AI solutions. Communication Skills: Excellent communication and teamwork skills, with the ability to work independently when needed. Problem-Solving: Strong analytical and problem-solving capabilities. Continuous Learning: Stay informed about the latest advancements in ML Ops technologies and actively explore new tools and techniques to improve system performance and reliability.

BKMSOLVENTS is looking for Social Media Analytics Professional to join our dynamic team and embark on a rewarding career journey Data Collection: Gathering data from various social media platforms, including metrics like likes, shares, comments, and followers, as well as qualitative data related to user sentiment and feedback. Data Analysis: Using data analysis tools and techniques to identify trends, patterns, and insights from social media data. This may involve data visualization, sentiment analysis, and statistical analysis. Performance Metrics: Monitoring and reporting on key performance indicators (KPIs) such as engagement rates, click-through rates, conversion rates, and follower growth. Competitive Analysis: Analyzing the social media activities of competitors to identify opportunities, gaps, and best practices. Audience Insights: Understanding the demographics, preferences, and behaviors of the target audience to create more effective content and campaigns. Campaign Assessment: Evaluating the effectiveness of social media marketing campaigns and providing recommendations for improvement. Content Strategy: Collaborating with social media and content teams to develop data-driven content strategies that resonate with the audience.

We are seeking an innovative and highly motivated AI Research Scientist with expertise in Large Language Models (LLMs) and Generative AI (GenAI) to join our cutting-edge AI research team. As a core member of the team, you will contribute to pioneering research, develop state-of-the-art models, and help push the boundaries of AI technologies. The ideal candidate will have a deep understanding of machine learning, natural language processing (NLP), and generative models, with a passion for tackling complex problems and advancing AI. Key Responsibilities: Conduct Original Research: Lead research in the areas of LLMs, Generative AI, and NLP to propose novel algorithms, architectures, and methodologies that advance the state of the art. Model Development & Implementation: Design, develop, and experiment with advanced models, focusing on scaling, fine-tuning, and improving large language models for various applications, such as text generation, summarization, translation, and dialogue systems. Collaboration: Work closely with cross-functional teams (data science, engineering, product, etc.) to translate research ideas into production-ready solutions. Publications & Thought Leadership: Publish papers in top-tier conferences and journals (e.g., NeurIPS, ICML, ACL, CVPR). Present research at industry events and stay at the forefront of the latest advancements in AI. Model Evaluation & Benchmarking: Define metrics, evaluate model performance, and optimize the efficiency and scalability of LLMs and GenAI systems. Experimentation: Conduct rigorous experiments to analyze model behavior and improve robustness, fairness, and generalization. Mentorship: Provide guidance and mentorship to junior researchers and team members. Required Qualifications: PhD or Masters in Computer Science, AI, Machine Learning, or a related field. Strong background in Natural Language Processing (NLP) , Deep Learning , and Generative AI . Proficiency in Deep Learning frameworks such as PyTorch, TensorFlow, or JAX. Proven experience with Large Language Models (LLMs) , transformer-based architectures (e.g., GPT, BERT, T5), and related NLP techniques. Strong programming skills in Python , with experience in relevant libraries (e.g., Hugging Face Transformers, TensorFlow, PyTorch). Solid understanding of optimization techniques, model training, and scaling large models. Experience with distributed computing , cloud platforms (AWS, GCP, Azure), and parallel processing techniques. Demonstrated experience in research publications in top-tier AI/ML conferences and journals. Preferred Qualifications: Experience in Large Language Models (LLMs) . Understanding of AI ethics , fairness, bias mitigation, and explainability in AI models.. Strong publication record in areas like Generative Models , Self-Supervised Learning , Transfer Learning , etc.

BITSTEK CONSULTING is looking for AI Intern to join our dynamic team and embark on a rewarding career journey Assist in developing AI models and algorithms. Conduct data preprocessing and analysis. Support AI project planning and execution. Collaborate with AI engineers and researchers on projects. Learn and apply AI techniques under supervision.

AVP/DVP Data Science AI, ML - Life Insurance - Goregaon AI & Machine Learning Design, develop, and implement machine learning models for predictive analytics, natural language processing (NLP), computer vision, or recommendation systems. Lead end-to-end AI project lifecycles, including validation, productionization, and optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay updated with the latest advancements in Generative AI and foundation models, evaluating and integrating them as needed. Partner with cross-functional teams to identify AI use cases and deliver measurable business value. Data Science & Analytics Lead the end-to-end analytics lifecycle, from data exploration to actionable insights and product development. Collaborate with data engineers and analysts to build impactful solutions that drive business outcomes. Leadership & Strategy • Mentor and guide junior team members, fostering their professional growth. Cloud Architecture & Engineering Contribute to the enterprise AI and cloud strategy, including roadmap planning and vision setting. Architect and design cloud-native AI and data platforms on GCP (preferred), AWS, or Azure. Optimize data pipelines and machine learning workflows using services like Vertex AI, SageMaker, or Azure ML. Ensure scalable, secure, and cost-efficient architectures with robust CI/CD pipelines in cloud environments. Experience • 8+ years of experience in AI and Data Science roles. Required Skills Proficiency in Python and SQL. Strong expertise in machine learning frameworks like TensorFlow, PyTorch, Hugging Face, and scikit learn Hands-on expertise with large language models (LLMs), vector databases, and retrieval-augmented generation (RAG) techniques In-depth knowledge of cloud platforms, preferably GCP, but also AWS or Azure. Familiarity with data engineering tools such as BigQuery, Kafka, Snowflake. Sound knowledge of data privacy, governance, and ethical AI practices. Expertise in MLOps practices, including CI/CD pipelines, model monitoring, and A/B testing.

Very Urgent: AI Specialist / Gen AI Specialist with LLM Company: AurumData Solutions Experience: 8+years Location: Hyderabad Job Mode: Permanent Work Type: Work From Office Key Skills: AI/GenAI, LLM, RAG,NLP, Python, ML/DL, TensorFlow, PyTorch, Scikit-learn, cloud platforms (AWS, GCP, or Azure) AI Specialist Job Description: We are seeking an experienced AI Specialist to develop, implement, and optimize artificial intelligence (AI) and machine learning (ML) models. The ideal candidate will have a strong background in AI, deep learning, natural language processing (NLP), and data science. This role involves collaborating with cross-functional teams to integrate AI-driven solutions into business processes, enhancing efficiency, automation, and decision-making. Required Skills & Qualifications Bachelor's or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field. 5+ years of experience in AI/ML development and deployment. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs). Experience with NLP, speech recognition, or computer vision. Knowledge of cloud-based AI services (AWS SageMaker, GCP AI, Azure ML). Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent communication skills to convey AI concepts to non-technical stakeholders. Design, develop, and deploy AI/ML models to solve complex business problems . Implement machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Work with large datasets to extract insights and build predictive models. Develop AI-powered applications, including chatbots, recommendation systems, and computer vision solutions. Collaborate with data scientists, engineers, and business analysts to align AI solutions with business needs. Optimize AI models for performance, scalability, and accuracy. Conduct research on emerging AI technologies and recommend their adoption. Ensure AI solutions comply with ethical AI principles, privacy regulations, and security guidelines. Use cloud platforms (AWS, GCP, or Azure) to deploy and manage AI models. Continuously monitor and improve AI models based on real-world feedback and data. Preferred Qualifications AI certifications (Google Professional ML Engineer, AWS Certified ML Specialist, etc.). Experience in AI-driven automation and decision intelligence. Knowledge of edge AI and federated learning techniques. If you are interested, kindly send your updated profiles to Balaram@aurumdatasolutions.com Regards, Balaram K Mobile No: +91- 9000749410 / 9848771366 Email: Balaram@aurumdatasolutions.com

Position Overview We are looking for an experienced AI/ML Lead to join our team in Bengaluru. The ideal candidate will bring a deep understanding of machine learning, artificial intelligence, and big data technologies, with proven expertise in developing scalable AI/ML solutions. You will lead technical efforts, mentor team members, and collaborate with cross-functional teams to design, develop, and deploy cutting edge AI/ML applications. Job Details Job Category: AI/ML Engineer Job Type: Full-Time Job Location: Bengaluru Experience Required: 5-10 Years About Us We are a multi-award-winning creative engineering company. Since 2011, we have worked with our customers as a design and technology enablement partner, guiding them on their digital transformation journeys. Roles and Responsibilities Backend Development Design, develop, and maintain robust backend systems to support AI/ML applications. Implement APIs and services to integrate AI models with frontend applications and other services. Ensure scalability, performance, and security of backend systems. Big Data Solutions Work with large-scale data processing frameworks like Hadoop and Spark, as well as CRMs (e.g., Salesforce) and databases (e.g., Postgres, MongoDB). Develop and optimize data pipelines for efficient data ingestion, processing, and storage. Ensure data integrity and consistency across multiple sources and formats. Machine Learning Develop, train, and deploy traditional machine learning models (e.g., regression/classification models, neural networks). Perform data analysis and feature engineering to improve model performance. Continuously monitor and refine models based on performance metrics. Generative AI Knowledge Base Solutions Design and implement generative AI models for knowledge base creation and maintenance. Develop systems to integrate generative AI with existing knowledge management platforms. Optimize generative models for high-quality, relevant output in knowledge base contexts. Collaboration and Communication Collaborate with data scientists, software engineers, and product managers. Communicate complex technical concepts effectively to non-technical stakeholders. Lead technical discussions and mentor junior team members. Research and Innovation Stay updated on advancements in AI, machine learning, and big data technologies. Conduct research to explore new methodologies and enhance existing solutions. Propose and implement innovative approaches to solve complex problems. Key Skills and Competencies Core Technical Skills Proficiency in data analytics, descriptive analytics, and predictive analytics. Experience with regression and classification models like Linear Regression, Logistic Regression, Decision Trees, Random Forest, and Neural Networks. Expertise in programming languages: Python, R, SQL, Java, C, and C++. Familiarity with AI/ML tools provided by cloud platforms (AWS, Azure, GCP) such as TensorFlow, SageMaker, and Azure ML. Hands-on experience working with LLM models. Proficiency in data modeling and data visualization. Additional Skills Strong problem-solving skills focused on product development. Proven track record of supporting global clients or internal stakeholders in data science projects. Knowledge of AI-related fields such as image processing and video analytics. Ability to work across time zones and geographic borders. Exceptional written and spoken communication skills to convey technical concepts effectively to non-technical audiences. Qualifications Graduation/Post-graduation in Computers, Engineering, or Statistics from a reputed institute. What We Offer Competitive salary and benefits package. Opportunity to work in a dynamic and innovative environment. Professional development and learning opportunities.

Blend at a glance: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com Role Highlights Experience in owning multiple, projects end-to-end and manage the process and team of analysts, escalating blockers when required. Contributing to proposal submissions and business development initiatives under the direction of the Leadership team Designing data science solutions end to end with appropriate time estimations and resourcing Experience in preparing and presenting compelling analysis findings to clients and senior stakeholders Proven experience as a Data Scientist, with a strong portfolio of data science projects; ability to demonstrate how to perform data cleaning, QC and exploratory analysis to discover key insights Commercial experience using predictive modelling (supervised and unsupervised) and proficiency in programming languages like Python and R or similar; solid understanding of database technologies and SQL. Strong knowledge and experience using predictive modelling (supervised and unsupervised) machine learning, data mining, and statistical modelling in a commercial setting. Excellent communication and collaboration skills; ability to work effectively in a fast-paced, dynamic environment What You'll Tackle Each Day: Experience more complex applications of ML such as NLP, computer vision or optimization is advantageous Ability to work and process large amounts of data/experience working with cloud environments Experience and working knowledge of relevant sectors (e.g. manufacturing, energy, public sector, automotive and utilities industries) is desired but not essential Experience with proposal submissions and business development initiatives under the direction of the Leadership team Experience in designing data science solutions from concept through to evaluation and monitoring models in production. Experience in managing teams or supporting team development Prompt engineering knowledge, with familiarity in different strategies. Exposure to various prompt engineering techniques in different scenarios

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

Educational Background: PhD in Computer Vision, Machine Learning, Artificial Intelligence, or a related field. Preference will be given to candidates from reputed institutions such as IITs, IISc, or equivalent.

Job Title: Data Scientist Location: Gurugram, Haryana Job Type: Full-Time ( WFO ) Experience Level: 2 to 4 Years Job Summary: We are seeking a highly motivated and detail-oriented Data Science Engineer with 24 years of experience to join our team in Gurugram. The ideal candidate will have a strong background in data engineering and data science, with hands-on experience building data pipelines and supporting analytics and model deployment. Experience working with Microsoft Azure cloud services is highly desirable. Key Responsibilities: Design and maintain scalable data pipelines and workflows. Collaborate with data scientists to prepare and manage datasets for analysis and modeling. Support deployment and integration of machine learning models. Work with cloud platforms (preferably Azure) to optimize data workflows and storage. Ensure data quality, security, and compliance across systems. Document all technical solutions and maintain up-to-date documentation. Required Skills and Qualifications: 2 to 4 years of hands-on experience in Data Science roles. Proficiency in Python and SQL. Experience with data libraries and frameworks like Pandas, NumPy, or PySpark. Familiarity with ML libraries such as scikit-learn or TensorFlow. Experience with version control tools like Git. Preferred Qualifications: Working experience with Microsoft Azure services, including: Azure Data Factory, Azure Machine Learning, Azure Synapse Analytics, Azure Blob Storage or Data Lake Exposure to Agile methodologies and collaborative development tools. What We Offer: Opportunity to work on meaningful, data-driven projects. Competitive compensation and benefits. Supportive and collaborative work environment. Learning and growth opportunities in a fast-paced setting.

Requirement Brief: Idolize is an AI Tech Startup with 6+ years deep experience in Implementing HyperAutomation Solutions. We take pride in calling ourselves as one of the best solution provider in the HyperAutomation space while amalgamating multiple technologies under one roof. In this sequence, we are currently having acute focus on GenAI, LLM and NLP under the umbrella of AI technologies to enhance our capabilities in HyperAutomation while integrating these tech components in more complex automation use cases. In above context, we are in the process of setting up a dedicated COE (center of excellence) for GenAI, LLM and related technologies and looking to onboard talented individuals as GenAI Interns who have completed their base academic degree in computer science i.e. B.Tech. (CS or IT), B.E. (CS or IT), M.Tech. (CS or IT), MCA and who are passionate to build AI driven automation solutions with the help of these new age technologies. Below are the detailed requirements for this opportunity and we are eager to on-board you as early as in a week time. What is expected from you: Educational Background: Degree: Bachelors or Masters degree in Computer Science, Computer Engineering, or a related field. Recent graduates or final-year students are encouraged to apply. We would like to have only and only 2023 and 2024 passing graduates. Please note that we are not currently interviewing candidates with B.Sc. or M.Sc. degrees hence you may choose not to apply. Technical Skills: Programming Languages: Proficiency in programming languages commonly used in AI and machine learning, such as Python. Familiarity with libraries like PyTorch or TensorFlow is highly desirable. Understanding of LLMs: Fundamental knowledge of how Large Language Models work, including transformers, attention mechanisms, and common architectures like GPT, BERT, or T5. Experience with NLP: Basic understanding of Natural Language Processing (NLP) concepts and techniques, such as tokenization, embedding, and text classification. Machine Learning Foundations: Solid understanding of machine learning principles, algorithms, and techniques. Coursework or projects in machine learning is a plus. Hands-On Experience: Projects and Internships: Experience in working on projects involving LLMs or NLP tasks. This could include internships, academic projects, hackathons, or personal projects that demonstrate practical experience with LLMs. Use of LLMs: Demonstrated experience in using pre-trained LLMs (such as GPT, BERT, etc.) for various applications. Experience in fine-tuning models for specific tasks or developing applications using LLMs is a plus. Git and Version Control: Familiarity with version control systems like Git for managing code. Soft Skills: Problem-Solving Ability: Strong analytical skills and the ability to solve complex problems independently. Communication Skills: Ability to clearly articulate ideas and collaborate effectively in a team environment. Learning Attitude: A proactive and enthusiastic approach to learning new technologies and methodologies, especially in the rapidly evolving field of GenAI. Preferred Qualifications: Research Experience: Any research experience or publications related to NLP, LLMs, or machine learning. Cloud Computing: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and experience deploying machine learning models on cloud infrastructure. Contributions to Open Source: Contributions to open-source projects, particularly those related to NLP, machine learning, or GenAI. - What is in it for you: Opportunity to work on Live use cases: From day-1 we will involve you in the production use cases across various business verticals like Banking, NBFC, Manufacturing and Insurance etc. Working in high performing environment: We encourage solution mindset colleagues who are having passion for their subject and this time it is your chance to be part of this culture Remuneration, Benefits and Rewards: We ensure that top talent in you is always recognized and you receive all your due credits be it tangible benefits or intangible one. We offer top salaries, time to time recognition and deliverables centric bonuses. More you deliver more you receive back from us Centrally located office with all amenities: Our office is in Thane Wagle Estate area which is fast growing business hub in Mumbai now. We take care of all your essential needs to ensure that you stay focussed on your main objective of solution building Pls send your resume first on talent@idolizesolutions.com . Once we review your profile and select the same, we will contact you for next round of discussion on a mutually convenient time. We generally conduct only 2 rounds of interview same day or few days apart and announce the final decision immediately thereafter. Office Address: Idolize Business Solutions AWFIS Office Space, 2nd Floor, Kalpataru Prime, Road Number 16, Wagle Industrial Estate, Thane West, 400604. Website: www.idolizesolutions.com | Phone: 7021483772 | Email: talent@idolizesolutions.com

Job_Description":" AI Software Engineer Location: Bangalore Job Type: Full Time Experience Level: Senior About the Role: We are seeking a talented AI SoftwareEngineer to join our team and help develop innovative AI-driven solutions. Youwill be responsible for designing, implementing, and optimizing AI models,integrating them into software applications, and working closely with datascientists and engineers to build scalable AI-powered products. Key Responsibilities: Design,develop, and deploy AI and machine learning models for real-world applications. Workwith large datasets to train and fine-tune models, ensuring high accuracy andefficiency. Buildand optimize deep learning architectures using frameworks like TensorFlow,PyTorch, or Scikit-learn. Developand maintain AI-driven software applications, integrating models intoproduction environments. Collaboratewith cross-functional teams, including data scientists, software engineers, andproduct managers. OptimizeAI models for performance, scalability, and deployment on cloud platforms (AWS,Azure, GCP). ImplementMLOps best practices for model versioning, deployment, and monitoring. Stayup-to-date with the latest AI research, tools, and techniques to continuouslyimprove AI capabilities. Requirements Required Qualifications: Bachelor\u2019sor Master\u2019s degree in Computer Science, AI, Machine Learning, or a relatedfield. Strongprogramming skills in Python, Java Experiencewith AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras. Knowledgeof NLP, Computer Vision, or Reinforcement Learning is a plus. Hands-onexperience with cloud computing (AWS, GCP, Azure) for AI model deployment. Familiaritywith data structures, algorithms, and software development best practices. Experiencewith containerization (Docker, Kubernetes) and APIs for model integration. Strongproblem-solving skills and the ability to work in a fast-paced environment. Experiencewith LLMs (Large Language Models), Generative AI, or AI-powered automation. Understandingof AI ethics, bias mitigation, and responsible AI practices. Knowledgeof big data technologies like Hadoop, Spark, or Kafka. Benefits - Workwith cutting-edge technologies and a talented team. - Competitive salary and benefitspackage. - Flexible work environment withgrowth opportunities. - Access to professional developmentand learning resources. ","

We are seeking a passionate andskilled Data Scientist to join our dynamic team and help us drive innovationthrough advanced analytics and machine learning. Key Responsibilities: Develop and implement machine learning and deep learning models for various business problems, with a strong focus on time series forecasting. Analyze large, complex datasets to extract actionable insights and identify trends, patterns, and opportunities for improvement. Design, build, and validate predictive models using state-of-the-art techniques, ensuring scalability and robustness. Collaborate with cross-functional teams (Product, Engineering, Business) to translate business requirements into data science solutions. Communicate findings and recommendations clearly to both technical and non-technical stakeholders. Stay updated with the latest research and advancements in machine learning, deep learning, and time series analysis, and proactively apply new techniques as appropriate. Mentor junior team members and contribute to a culture of continuous learning and innovation. Requirements Required Skills &Qualifications: \u200b 3-5 years of hands-on experience in data science, machine learning, and statistical modeling. Strong expertise in time series forecasting (ARIMA, XGBoost, RandomForest, TFT, NHITS, etc.) and familiarity with deep learning frameworks (TensorFlow, PyTorch). Excellent programming skills in Python (preferred), with proficiency in libraries such as NumPy, Pandas, scikit-learn, and visualization tools (Matplotlib, Seaborn, Plotly). Solid conceptual understanding of machine learning algorithms, deep learning architectures, and statistical methods. Experience with data preprocessing, feature engineering, and model evaluation. Ability to learn quickly and adapt to new technologies, tools, and methodologies. Strong problem-solving skills and a keen attention to detail. Excellent communication and presentation skills. PreferredQualifications: Experience with cloud platforms and MLOps tools. Exposure to big data technologies (Spark, Hadoop) is a plus. Master degree in Computer Science, Statistics, Mathematics, or a related field.