5480 Deep Learning Jobs - Page 12

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing.Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability.Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of natural language processing techniques.- Experience with cloud AI services like AWS SageMaker or Google AI Platform.- Knowledge of deep learning frameworks such as TensorFlow or PyTorch.- Hands-on experience in developing AI applications.- Familiarity with deploying AI models in production environments. Additional Information:- The candidate should have a minimum of 2 years of experience in Large Language Models.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. You will work on cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Develop applications and systems using AI tools and Cloud AI services.- Apply GenAI models as part of the solution.- Implement deep learning and neural networks.- Create chatbots and work on image processing.- Collaborate with the team to provide innovative solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms like linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in Machine Learning.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Join Rappo as a Senior Machine Learning Engineer to lead AI development, focusing on RAG, GraphRAG, and LLM fine-tuning in a high-performance, production-grade environment. Company details Rappo is a network where champions and founders collaborate on early-stage startups. Think of it as a niche version of LinkedIn. From a technical perspective, Rappo creates a social graph of professionals, leveraging machine learning for smarter connections. Requirements 6+ years in AI/ML engineering with production experience Expertise in RAG and GraphRAG architectures Proven experience in fine-tuning LLMs and deep learning models Experience with agent-based systems and memory architectures Strong Python and PyTorch skills Proficiency in Go for backend systems Solid knowledge of AWS (SageMaker, Bedrock, Lambda, ECS/EKS, S3) Familiarity with vector databases like Pinecone, Weaviate, or Qdrant Understanding of ML operations, model deployment, and monitoring Responsibilities Act as a founding engineer with customer-first thinking Work closely with founders, designers, and engineers to ship features Keep the platform aligned with tech and business trends Design and implement scalable AI solutions Job Details 100% Remote (IST working hours) Interview process Intro Call with Founder Technical Round 1: Project-based live coding Technical Round 2: Project-based live coding Salary negotiation Important Note ClanX is a recruitment partner, helping Rappo hire a Senior Machine Learning Engineer.

Role Overview: The Staff Engineer will be responsible for architecting and implementing advanced quantization algorithms for edge AI applications. You will lead technical initiatives, mentor junior team members, and drive continuous improvement in model compression and optimization techniques for LLMs and other deep learning models. Key Responsibilities: Architectural Leadership: o Design and develop robust quantization strategies and algorithms for AI inference on edge devices. o Lead system-level design discussions and collaborate closely with hardware and research teams. Mentorship & Code Review: o Mentor mid-level and junior engineers, providing technical guidance and best practices. o Conduct thorough code reviews and ensure high standards of quality and performance. Innovation & Optimization: o Stay abreast of the latest research in model quantization and compression, and drive the adoption of innovative techniques. o Develop and maintain performance benchmarks, and continuously optimize algorithms for low latency and high energy efficiency. Cross-Functional Collaboration: o Work with the Quantizer Group Manager and Tech Lead to align technical roadmaps with product objectives. o Participate in regular strategy sessions to set technical direction and priorities. Qualifications: Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field (Ph.D. is a plus). 5-8+ years of industry experience in deep learning, model optimization, or related areas. Demonstrated experience with quantization techniques, LLM optimization, and software development using Python/C++. Strong problem-solving skills and a passion for innovation in edge AI technologies. What We Offer: An opportunity to work on pioneering edge AI technologies that redefine the future of real-time inference. A collaborative environment where innovation is at the core of our culture. Competitive compensation, comprehensive benefits, and significant opportunities for professional growth.

Dear Candidate, We are hiring Machine Learning Engineers to join our team and work on our in-house cloud application product. This is a great opportunity to be part of an innovative product company with direct payroll. Key Highlights: Role: Machine Learning Engineer Employment: Permanent Domain: Cloud Application Product Development Location: Hyderabad, Bangalore Requirements: Strong experience in Python, ML algorithms, Deep Learning (TensorFlow / PyTorch) Hands-on expertise in NLP / Computer Vision / Generative AI (preferred) Exposure to cloud platforms (AWS / Azure / GCP) and MLOps is a plus If you are interested, please share your updated resume at amylavarapu@cnet-global.com with the subject line "Application for ML Engineer". Looking forward to connecting with you!

The candidates selected are to teach undergraduate and postgraduate courses in computer sciences or similar branches, supervise UG/PG/PhD students in their projects/thesis both in the lab and as a co-curricular activity, as well as participate in building linkages and driving cooperation with industry. Functional Area

Responsibilities: * Design, develop & deploy AI solutions using ML/DL frameworks * Optimize model performance through data analysis & experimentation * Collaborate with cross-functional teams on project delivery Health insurance Maternity policy Gratuity Provident fund Maternity leaves Paternity leaves

Position : Python AI/ML Developer Experience : 4+ Years Notice Period: Immediate to 20 Days Max Seeking an experienced Python Developer with expertise in Generative AI to join our AI & ML Engineering team. The ideal candidate will work on building intelligent applications leveraging large language models (LLMs) and deep learning to enhance customer experience and streamline business processes. Key Responsibilities: Design, develop, and deploy GenAI solutions using Python and modern AI frameworks. Work with LLMs (e.g., GPT, LLaMA, Claude) and fine-tune them for enterprise use cases. Develop prompt engineering strategies and support prompt optimization. Integrate AI models with backend services and data pipelines. Implement scalable and secure APIs and services for GenAI use cases. Collaborate with data scientists, ML engineers, and product teams. Ensure compliance with enterprise security, data governance, and regulatory standards. Required Skills: 4+ years of experience with Python in enterprise application development. Strong knowledge of GenAI tools (OpenAI, HuggingFace, LangChain, etc.). Experience with LLMs, prompt tuning, RAG (Retrieval Augmented Generation). Experience with Flask/FastAPI or similar frameworks. Familiarity with vector databases (e.g., NodeJs, FAISS, Pinecone). Understanding of NLP and transformer models. Good knowledge of Git, Docker, CI/CD.

JOB Objective: We are seeking a highly skilled and versatile Senior Machine Learning Engineer who embodies the rare combination of a strong software engineer, a pragmatic data scientist, and an expert in building robust, scalable ML applications. This role is critical to our mission, bridging the gap between cutting-edge ML research and robust, production-ready systems. You will be instrumental in designing, developing, deploying, and maintaining our core AI-powered products and features. This demands a blend of analytical rigor, coding prowess, architectural foresight, and a deep understanding of the entire machine learning lifecycle, from data exploration and model development to deployment, monitoring, and continuous improvement. If you thrive on taking ML models from concept to customer impact and possess exceptional software design skills, we encourage you to appl Work from Office Mode: 5 Days Work from Wipro Bengaluru Office Mandatory Skills: Machine Learning . Experience: 8-10 Years . >

Design, implement, and improve scalable forecasting and M&V algorithms using statistical, machine learning & scientific methods. Exp. Docker &Kubernetes Machine learning methods for time-series forecasting, e.g,ARIMA, regression models,deep learning Required Candidate profile 4+yrs exp-Data science role with a focus on time-series forecasting/M&V. Strong Python exp. Exp Python data science stack (NumPy, SciPy, Pandas, scikit-learn). Exp PySpark/Dask. Cloud Exp. Preffered

About The Opportunity : A fast-scaling technology company operating in the Enterprise AI / Generative AI sector, building production-grade LLM-driven products and intelligent automation for global clients. We deliver secure, low-latency generative systems that power conversational AI, summarization, code generation, and retrieval-augmented applications across cloud-native environments. We are hiring a Senior Generative AI Engineer (7+ years) to own architecture, model development, and production deployment of advanced generative systems. This is a fully remote role for candidates based in India. Role & Responsibilities : - Lead end-to-end design and delivery of Generative AI/LLM solutionsdata ingestion, pre-processing, model training/fine-tuning, evaluation, and scalable inference. - Develop and productionize transformer-based models (instruction-tuning, LoRA, quantization) using PyTorch/TensorFlow and Hugging Face tooling. - Architect and implement RAG pipelines integrating vector databases (FAISS/Milvus/Chroma), dense / sparse retrieval, and scalable embedding workflows. - Optimize inference throughput and latency using ONNX/TorchScript/TensorRT, autoscaling, and cost-efficient deployment patterns on cloud infra. - Define MLOps best practices : CI/CD for models, containerization, observability, automated retraining, drift detection and rollout strategies. - Mentor engineers, conduct code reviews, and collaborate with product & data science to translate research into reliable production systems. Skills & Qualifications : Must-Have : - 7+ years software/ML engineering experience with significant time on generative/LLM projects. - Strong proficiency in Python and deep learning frameworks (PyTorch preferred; TensorFlow acceptable). - Hands-on experience with Hugging Face Transformers, tokenizers, training and fine-tuning workflows. - Proven experience building RAG systems and working with vector stores (FAISS, Milvus, Chroma) and embedding pipelines. - Experience deploying models to production using Docker, Kubernetes, and cloud services (AWS/GCP/Azure). - Solid software engineering practices : unit testing, CI/CD, code reviews, and monitoring for ML systems. Preferred : - Experience with model compression/acceleration (quantization, distillation), ONNX, or TensorRT. - Familiarity with LangChain or similar orchestration frameworks, agentic workflows, and tool-calling patterns. - Background in prompt engineering, instruction tuning, Reinforcement Learning from Human Feedback (RLHF) exposure. - Knowledge of data privacy, secure model serving, and compliance controls for enterprise deployments. Benefits & Culture Highlights : - Fully remote, India-based role with flexible hours and a results-oriented culture. - Opportunity to shape product architecture and scale cutting-edge generative AI for enterprise customers. - Collaborative environment with senior ML engineers, data scientists, and product stakeholdersmentorship and career growth. To apply, you should be passionate about bringing advanced generative models into production, comfortable with both research-to-production translation and the operational discipline required to run mission-critical AI systems.

Field: Information Technology, Data Management, Data Analytics, Business, Supply Chain, Operations Experience: Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field Number of Years: 5+ years in relevant roles with Palantir experience/ knowledge is Must Other: At least five years of relevant project experience in successfully launching, planning, and executing data science projects, including statistical analysis, data engineering, and data visualization Proven experience in conducting statistical analysis and building models with advanced scripting languages Experience leading projects that apply ML and data science to business functions Specialization in text analytics, image recognition, graph analysis, or other specialized ML techniques, such as deep learning, is preferred Skills: Fluency in multiple programming languages and statistical analysis tools such as Python, PySpark, C++, JavaScript, R, SAS, Excel, SQL Knowledge of distributed data/computing tools such as MapReduce, Hadoop, Hive, or Kafka Knowledge of statistical and data mining techniques such as generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN) Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models Willingness and ability to learn new technologies on the job Ability to communicate complex projects, models, and results to a diverse audience with a wide range of understanding Ability to work in diverse, cross-functional teams in a dynamic business environment Superior presentation skills, including storytelling and other techniques to guide and inspire Familiarity with big data, versioning, and cloud technologies such as Apache Spark, Azure Data Lake Storage, Git, Jupyter Notebooks, Azure Machine Learning, and Azure Databricks. Familiarity with data visualization tools (Power BI experience preferred). Knowledge of database systems and SQL. Strong communication and collaboration abilities.

JD:- Have experience in developing production level Gen AI solutions by utilizing Azure OpenAI Google services Familiar with prompt engineering retrieval augmented generation and finetuning of opensource LLMs. Collaborate with data scientists and data engineers to build production level models and pipelines including any required preprocessing of input datasets and postprocessing after model inference. Develop and Deploy advanced Generative AI large language models Azure OpenAI Google Machine Learning and Deep Learning Models algorithms to enhance and automate existing business processes with predictive and intelligent decision-making content aggregation and contextualized insights. Processing cleansing and verifying the integrity of structured and unstructured business data used for analysis. Analyse large amount of information to discover underlying trends and patterns that are relevant for solving business problems Select features and perform proper data transformation to optimize datasets for building the models. Evaluate visualize and communicate the AIML model results and correlation with business KPIs Continuously optimize the existing AIML operations and help build effective model performance monitoring and improvement framework to proactively identify problems issues before business impact.

Job Description: Data Science Trainer Position Overview We are seeking a passionate and knowledgeable Data Science Trainer to join our team. The ideal candidate will have extensive experience in the field of data science, including practical knowledge of data analysis, machine learning, and statistical modelling. The trainer will be responsible for designing and delivering comprehensive training programs that cater to the needs of students or professionals looking to enhance their skills in data science. Key Responsibilities Training Delivery: Conduct engaging and interactive training sessions on various data science topics, including but not limited to Python, R, SQL, machine learning, data visualization, and statistical analysis. Curriculum Development: Design and update course materials, including presentations, assignments, projects, and assessments to ensure they are current and relevant. Hands-on Projects: Develop practical, real-world projects and case studies to provide hands-on experience to learners. Assessment & Feedback: Evaluate students progress through assignments, projects, and exams, providing constructive feedback to help them improve. Stay Updated: Keep abreast of the latest trends and technologies in data science to ensure the training content remains cutting-edge. Mentorship: Provide guidance and support to students, helping them with career advice, resume building, and interview preparation. Collaboration: Work closely with other trainers and team members to ensure a cohesive learning experience. Qualifications Educational Background: Bachelors or Masters degree in Data Science, Statistics, Computer Science, or a related field. Ph.D. is a plus. Experience: At least 3-5 years of hands-on experience in data science roles. Prior experience in teaching or training is highly desirable. Technical Skills: Proficiency in Python, R, SQL, and familiarity with data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and Keras. Knowledge of data visualization tools like Tableau or Power BI is a plus. Soft Skills: Excellent communication and presentation skills. Ability to explain complex concepts in a simple and clear manner. Certifications: Relevant certifications (e.g., Certified Data Scientist, Microsoft Certified: Azure Data Scientist Associate) are an advantage.

What We Offer: At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First. AI/ML Engineer About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. TaskUs People First culture has grown the company to have approximately 45K employees worldwide. We are currently in twenty-three locations across twelve countries, including the Philippines, India, and the United States. It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moments notice, and mastering consistency in an ever-changing world. What We Offer: TaskUs provides world-class benefit packages with competitive industry salaries to all its employees. With well-developed departments, such as Total Rewards, Wellness, HR, and Diversity, we continuously thrive in supporting a People First culture. We are known for our inclusiveness and community impact. We also promote internal mobility and professional development at every step of an employee's career within TaskUs. Come be part of TaskUs that supports People First by applying today! What can you expect in a Developer, AI/ML Engineer role with TaskUs: We are looking for an Artificial Intelligence and Machine Learning Engineer with 2 to 3 years of experience with python technology, who will be responsible for leveraging AI, NLP, NLU, LLM, and Generative AI technologies to create innovative products. The ideal candidate should have a strong background in machine learning and artificial intelligence with hands-on experience in building scalable and reliable AI-based products . Key Responsibilities: Design and develop machine learning models to solve complex business problems using AI,NLP, NLU, LLM, and Generative AI technologies Develop and implement algorithms for data processing, feature extraction, and model training Collaborate with cross-functional teams to identify business requirements and create solutions that meet those requirements Identify and evaluate new AI technologies and tools that can improve the performance and efficiency of our products Manage and mentor a team of AI and Machine Learning Engineers Ensure that the products are delivered on time, meet quality standards, and are scalable Communicate technical solutions and results to non-technical stakeholders Required Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology or related fields 2 to 4 years of experience in machine learning and artificial intelligence Hands-on experience in building and deploying AI-based products using NLP, NLU, LLM, and Generative AI technologies Strong hands on experience in Object Oriented Programming System, Python, FastAPI, Generative AI Prompting. Experience in containerisation(docker), Jenkins. Experience in leading and managing a team of AI and Machine Learning Engineers Experience in AWS AI Services would be added advantage Excellent problem-solving skills with the ability to think creatively and critically Strong communication and presentation skills with the ability to communicate technical solutions to non-technical stakeholders Experience in Agile development methodologies and project management If you are passionate about leveraging AI technologies to create innovative products and have a strong background in machine learning and artificial intelligence, we encourage you to apply for this exciting opportunity. Education Certifications: Bachelor's/College Degree in Engineering Computer Science/Information Technology, or equivalent.

The impact youll make Enable rapid, responsible releases by coding evaluation pipelines that surface safety issues before models reach production. Drive operational excellence through reliable, secure, and observable systems that safety analysts and customers trust. Advance industry standards by contributing to bestpractice libraries, opensource projects, and internal frameworks for testing alignment, robustness, and interpretability. What youll do Design & implement safety toolingfrom automated adversarial test harnesses to driftmonitoring dashboardsusing Python, PyTorch/TensorFlow, and modern cloud services. Collaborate across disciplines with fellow engineers, data scientists, and product managers to translate customer requirements into clear, iterative technical solutions. Own quality endtoend: write unit/integration tests, automate CI/CD, and monitor production metrics to ensure reliability and performance. Containerize and deploy services using Docker and Kubernetes, following infrastructureascode principles (Terraform/CDK). Continuously learn new evaluation techniques, model architectures, and security practices; share knowledge through code reviews and technical talks. Experiences youll bring 3+ years of professional software engineering experience, ideally with dataintensive or MLadjacent systems. Demonstrated success shipping production code that supports highavailability services or platforms. Experience working in an agile, collaborative environment, delivering incremental value in short cycles. Technical skills you'll need Languages & ML frameworks: Strong Python plus handson experience with PyTorch or TensorFlow (bonus points for JAX and LLM finetuning). Cloud & DevOps: Comfortable deploying containerized services (Docker, Kubernetes) on AWS, GCP, or Azure; infrastructureascode with Terraform or CDK. MLOps & experimentation: Familiar with tools such as MLflow, Weights & Biases, or SageMaker Experiments for tracking runs and managing models. Data & APIs: Solid SQL, exposure to at least one NoSQL store, and experience designing or consuming RESTful APIs. Security mindset: Awareness of secure coding and compliance practices (e.g., SOC 2, ISO 27001). Nice to have: LangChain/LangGraph, distributed processing (Spark/Flink), or prior contributions to opensource ML safety projects. Why youll love this role Enjoy the freedom to work from anywhere your productivity, your environment Purpose-driven work: Contribute meaningfully to a safer AI future while enabling groundbreaking innovation. Strategic visibility: Directly impact high-profile AI safety initiatives with industry-leading customers. Growth opportunities: Collaborate with top-tier AI talent and help shape an emerging industry. Supportive culture: Enjoy competitive compensation, flexible work arrangements, and significant investment in your professional and personal growth. Location - Chennai,Gurugram,Hyderabad,Indore,Mumbai,Noida

Data Scientist with deep expertise in modern AI/ML technologies to join our innovative team. This role combines cutting-edge research in machine learning, deep learning, and generative AI with practical full-stack cloud development skills. You will be responsible for architecting and implementing end-to-end AI solutions, from data engineering pipelines to production-ready applications leveraging the latest in agentic AI and large language models. Job Description Key Responsibilities AI/ML Development & Research Design, develop, and deploy advanced machine learning and deep learning models for complex business problems Implement and optimize Large Language Models (LLMs) and Generative AI solutions Build agentic AI systems with autonomous decision-making capabilities Conduct research on emerging AI technologies and their practical applications Perform model evaluation, validation, and continuous improvement Cloud Infrastructure & Full-Stack Development Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP Develop full-stack applications integrating AI models with modern web technologies Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.) Implement CI/CD pipelines for ML model deployment and monitoring Design and optimize cloud infrastructure for high-performance computing workloads Data Engineering & Database Management Design and implement data pipelines for large-scale data processing Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.) Optimize database performance for ML workloads and real-time applications Implement data governance and quality assurance frameworks Handle streaming data processing and real-time analytics Leadership & Collaboration Mentor junior data scientists and guide technical decision-making Collaborate with cross-functional teams including product, engineering, and business stakeholders Present findings and recommendations to technical and non-technical audiences Lead proof-of-concept projects and innovation initiatives Required Qualifications Education & Experience Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field 5+ years of hands-on experience in data science and machine learning 3+ years of experience with deep learning frameworks and neural networks 2+ years of experience with cloud platforms and full-stack development Technical Skills - Core AI/ML Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents Technical Skills - Development & Infrastructure Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB) Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks Big Data: Spark, Hadoop, Kafka, streaming data processing Preferred Qualifications Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma) Knowledge of LangChain, LlamaIndex, or similar LLM frameworks Experience with model compression and edge deployment Familiarity with distributed computing and parallel processing Experience with computer vision and NLP applications Knowledge of federated learning and privacy-preserving ML Experience with quantum machine learning Expertise in MLOps and production ML system design Key Competencies Technical Excellence Strong mathematical foundation in statistics, linear algebra, and optimization Ability to implement algorithms from research papers Experience with model interpretability and explainable AI Knowledge of ethical AI and bias detection/mitigation Problem-Solving & Innovation Strong analytical and critical thinking skills Ability to translate business requirements into technical solutions Creative approach to solving complex, ambiguous problems Experience with rapid prototyping and experimentation Communication & Leadership Excellent written and verbal communication skills Ability to explain complex technical concepts to diverse audiences Strong project management and organizational skills Experience mentoring and leading technical teams Location - Chennai,Gurugram,Hyderabad,Indore,Mumbai

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Mandatory Skills: Python for Data Science . Experience: 5-8 Years .

Title: Machine Learning / AI Developer About the Role We are looking for a passionate and adaptive Machine Learning / AI Developer who can quickly learn and apply cuttingedge AI tools and frameworks. This role is ideal for someone with a strong foundational understanding of AI/ML concepts and handson coding ability, who thrives on experimentation and rapid prototyping. Key Responsibilities Design, implement, and optimize machine learning models using frameworks such as TensorFlow, PyTorch, and Transformers. Work with TPUs and GPUs for accelerated ML training and inference. Preprocess, clean, and analyze large structured and unstructured datasets, including vector database integration. Collaborate with backend and frontend engineers to integrate ML models into scalable applications. Keep up to date with the latest advancements in ML architectures and deployment methods. Perform model evaluation, hyperparameter tuning, and performance benchmarking. Implement best practices in model reproducibility, version control, and documentation. Qualifications Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience). Strong programming skills in Python, with exposure to Node.js a plus. Understanding of ML models including supervised, unsupervised, and deep learning approaches. Knowledge of Transformers and NLP models is highly desirable. Familiarity with database concepts, including vector search. Good grasp of data pipelines, preprocessing techniques, and cloudbased ML deployment. Soft Skills & Attributes Fast learner with ability to adapt to new technologies quickly. Strong problemsolving mindset and attention to detail. Collaborative attitude with good communication skills. Selfmotivated and curious about AI trends and innovations. What We Offer Opportunity to work with modern AI technologies and frameworks. A collaborative, learningfocused work culture. Scope to experiment, innovate, and shape impactful AI solutions.

Gen AI/Agentic AI Engineers Location - Bangalore/Hyderabad Level - Senior Associate Experience - 3-8 years Skills & Experience Strong background in Python, ML engineering and API development (FastAPIs) Knowledge of tokenization libraries and GenAI/NLP techniques (RAG, embeddings, transformers). Hands-on with GenAI frameworks (LangChain, LlamaIndex, DSPy) and Agentic AI orchestration (LangGraph, MCP, A2A, AutoGen, etc.). Expertise with vector databases, elastic search, unstructured data Experience with cloud AI/ML services (AWS, Azure, GCP). Key Responsibilities Design and implement GenAI applications (chatbots, copilots, knowledge assistants). Build and manage Agentic AI workflows using orchestration frameworks (LangGraph, Crew AI, MCP, A2A). Apply ML/AI techniques (supervised/unsupervised learning, optimization, embeddings, retrieval). Integrate AI with enterprise data, APIs, and cloud-native architecture. Ensure scalability, security, and cost-effectiveness of deployed solutions. Regards, Phani

Develop and optimize end-to-end machine learning solutions using deep learning models such as CNNs Work with large-scale datasets to design, preprocess, and transform data for ML training and inference pipelines Proficiency in Python and ML libraries

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options 3. Team Management a. Talent Management i. Support on boarding and training to enhance capability & effectiveness Mandatory Skills: Python for Data Science . Experience: 3-5 Years .

Role & responsibilities Description: AI Engineer role is to design and implement intelligent systems using agentic AI capable of autonomous decision-making and task execution by integrating advanced machine learning models with reasoning, planning, and interaction capabilities Required Skills & Experience: Proficiency in Python and libraries relevant to AI/ML and NLP. Deep understanding of LLMs , including prompt tuning, fine-tuning, and deployment. prompt engineering prompt engineering best practices. Strong knowledge of vector databases and similarity search. Experience with RAG architecture design and optimization. Familiarity with LangChain , LangGraph , AutoGen , or similar agent frameworks. Working knowledge of computer vision libraries (OpenCV, Pillow, etc.). Experience in document processing and information extraction from unstructured data. Knowledge of tools like Hugging Face , Transformers , PyTorch , or TensorFlow . Preferred Qualifications: Experience with LLM orchestration and tools like Flowise , LlamaIndex , or Haystack . Exposure to cloud platforms (AWS, Azure, GCP) and deployment tools (Docker, Kubernetes). Experience with data privacy and AI model governance in enterprise environments. Background in knowledge graphs , semantic search , or metadata-driven search pipelines

Key Responsibilities: AI/ML Model Development: Utilize available models to design, train, and deploy machine learning models. Leverage Cloud / On premise / Hybrid environments platforms like Amazon SageMaker and Azure Machine Learning for end-to-end machine learning lifecycle management. Data Architecture Design: Architect and manage robust scalable data infrastructures supporting AI/ML project requirements including data ingestion, storage, and processing workflows. Data Processing: Conduct data cleaning, preprocessing, and analysis, preparing datasets for model training for effective data handling and insights generation. Automation Services Integration: Automate data pipelines and integrate AI/ML models into production systems. Enhance business processes and decision-making capabilities through cloud-based AI solutions. Performance Monitoring: Monitor the performance of AI models and the efficiency of data pipelines across cloud platforms, adjusting resources and configurations to ensure optimal operation. Cross-Functional Collaboration: Collaborate with enterprise architects, data scientists, and business stakeholders to identify and exploit AI-driven automation opportunities on AWS, Azure. Preferred Skills/Experience: Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets Experience in analytics, advanced analytics/statistics, predictive modeling, machine learning, data visualization Understanding of machine learning techniques and algorithms Experience in python/R/SAS/SQL for data extraction, data mining, and predictive analytics Demonstrated project management skills Effective interpersonal, verbal and written communication skills Qualifications: Bachelors degree in computer science, Information Technology, or a related field. Certifications in relevant fields is preferred, but it is not mandatory.

As a skilled engineer at SiteRecon, a B2B SaaS platform revolutionizing property measurements for landscapers and snow removal contractors in the $176B US market, you will play a crucial role in evaluating, enhancing, and transforming the computer vision infrastructure. Your expertise will be instrumental in transitioning from traditional CNN architectures to cutting-edge transformer-based models. You will be responsible for model design, training, and optimization to meet the demands of this frontier challenge in computer vision and GIS. You will have access to a vast aerial imagery database with a ground sample distance of 7 cm, covering 500,000+ properties across the U.S. since 2021. Additionally, you will collaborate with a team of 60 annotators mapping thousands of acres daily and have a ready market of 350+ customers for immediate deployment. Leveraging powerful compute resources for rapid model training, you will be at the forefront of solving a constrained problem using the world's highest-resolution aerial imagery to develop scalable templates for automated extraction in GIS applications. Your key responsibilities will include designing and implementing transformer-based architecture for semantic segmentation of aerial imagery, developing efficient image-to-token and token-to-image conversion pipelines, creating and maintaining training datasets, optimizing model training processes for distributed computing environments, implementing efficient inference pipelines for production deployment, and collaborating with the engineering team to integrate new models into the existing infrastructure. To excel in this role, you are expected to have a strong foundation in computer vision and deep learning fundamentals, extensive experience in training transformer models from scratch, expert-level proficiency in PyTorch, experience with ONNX or TensorRT model optimization and deployment, deep understanding of distributed computing and parallel processing, advanced Python knowledge, experience with semantic segmentation tasks, and a proven track record of handling large-scale data processing. This position requires a minimum of 5 years of hands-on deep learning experience, a track record of successfully deploying computer vision models in production, experience with vision transformer architectures, experience optimizing models for production using ONNX/TensorRT, and a background in handling high-resolution satellite/aerial imagery. A Masters/PhD in Computer Science, Machine Learning, or a related field is preferred. Your desired qualities should include a strong mathematical foundation in deep learning concepts, experience with model architecture design and optimization, the ability to conduct independent research and stay updated with the latest developments, excellence in technical documentation and communication, and self-motivation to solve complex technical challenges efficiently. What sets you apart in this role is your experience with vision transformers specifically for segmentation tasks, published research or contributions to open-source computer vision projects, experience with high-performance computing environments, a background in geospatial data processing, hands-on experience with model quantization and optimization using ONNX/TensorRT, and experience deploying optimized models in production environments. Your role is crucial as every day without improved segmentation costs real business opportunities, and we need someone who can think systematically, move fast, and deliver production-ready improvements promptly.,