1077 Aiml Jobs - Page 8

The AIML Architect-Dataflow, BigQuery position is a critical role within our organization, focusing on designing, implementing, and optimizing data architectures in Google Cloud's BigQuery environment. You will combine advanced data analytics with artificial intelligence and machine learning techniques to create efficient data models that enhance decision-making processes across various departments. Your responsibilities will include building data pipeline solutions that utilize BigQuery and Dataflow functionalities to ensure high performance, scalability, and resilience in our data workflows. Collaboration with data engineers, data scientists, and application developers is essential to align with business goals and technical vision. You must possess a deep understanding of cloud-native architectures and be enthusiastic about leveraging cutting-edge technologies to drive innovation, efficiency, and insights from extensive datasets. You should have a robust background in data processing and AI/ML methodologies, capable of translating complex technical requirements into scalable solutions that meet the evolving needs of the organization. Key Responsibilities - Design and architect data processing solutions using Google Cloud BigQuery and Dataflow. - Develop data pipeline frameworks supporting batch and real-time analytics. - Implement machine learning algorithms for extracting insights from large datasets. - Optimize data storage and retrieval processes to improve performance. - Collaborate with data scientists to build scalable models. - Ensure data quality and integrity throughout the data lifecycle. - Work closely with cross-functional teams to align data workflows with business objectives. - Conduct technical evaluations and assessments of new tools and technologies. - Manage large-scale data migrations to cloud environments. - Document architecture designs and maintain technical specifications. - Provide mentorship and guidance to junior data engineers and analysts. - Stay updated on industry trends in cloud computing and data engineering. - Design and implement security best practices for data access and storage. - Monitor and troubleshoot data pipeline performance issues. - Conduct training sessions on BigQuery best practices for team members. Required Qualifications - Bachelor's or Master's degree in Computer Science, Data Science, or related field. - 5+ years of experience in data architecture and engineering. - Proficiency in Google Cloud Platform, especially BigQuery and Dataflow. - Strong understanding of data modeling and ETL processes. - Experience in implementing machine learning solutions in cloud environments. - Solid programming skills in Python, Java, or Scala. - Expertise in SQL and other query optimization techniques. - Experience with big data workloads and distributed computing. - Familiarity with modern data processing frameworks and tools. - Strong analytical and problem-solving skills. - Excellent communication and team collaboration abilities. - Proven track record of managing comprehensive projects from inception to completion. - Ability to work in a fast-paced, agile environment. - Understanding of data governance, compliance, and security. - Experience with data visualization tools is a plus. - Certifications in Google Cloud or relevant technologies are advantageous. Skills - Cloud Computing - SQL Proficiency - Dataflow - AIML - Scala - Data Governance - ETL Processes - Python - Machine Learning - Java - Google Cloud Platform - Data Architecture - Data Modeling - BigQuery - Data Engineering - Data Visualization Tools,

As a member of the QuestaSim (Simulation) R&D team at Siemens EDA, you will play a crucial role in designing and developing AI/ML-driven algorithms and solutions to enhance the performance and capabilities of simulation tools. Your contributions will involve creating cutting-edge engines and components, integrating machine learning techniques into simulation and verification workflows, and enhancing existing codebases. In this role, you will collaborate with a team of experienced engineers to solve complex problems in a dynamic environment. Your expertise in AI/ML frameworks, data-driven problem solving, and traditional simulation technologies will be key in achieving project milestones. Your ability to stay self-motivated, disciplined, and innovative will drive progress within the team. To excel in this position, you should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related technical field. Your hands-on experience with AI/ML techniques such as supervised and unsupervised learning, neural networks, and reinforcement learning will be essential. Proficiency in programming languages like C/C++ and Python, along with a strong foundation in algorithms and data structures, is required. Knowledge of machine learning and deep learning frameworks, compiler concepts, optimizations, parallel computing, UNIX/Linux platforms, and problem-solving skills are also crucial for this role. Additionally, familiarity with Digital Electronics, SystemVerilog, Verilog, VHDL, simulation technologies, and formal-based verification methodologies will be advantageous. At Siemens, we value diversity and inclusion, and we are committed to creating a workplace where all individuals are respected and empowered. If you are passionate about shaping the future through innovation and technology, we encourage you to join us on this exciting journey. Your curiosity and creativity will help us build a better tomorrow.,

As an experienced professional in AI/ML and App architecture, you will be responsible for identifying the most suitable technological solutions to address current business challenges. You will communicate effectively with project stakeholders by outlining the software's architecture, features, behavior, and other relevant aspects. Your role will involve defining development phases, solution requirements, and specific features, as well as drafting detailed specifications to guide the solution's management and delivery. Additionally, a strong understanding of AWS/Azure technologies is required for this position.,

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About the Role: We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role. Responsibilities: Implement, and deploy Machine Learning solutions to solve complex problems and deliver real business value, i.e. revenue, engagement, and customer satisfaction. Collaborate with data product managers, software engineers and SMEs to identify AI/ML opportunities for improving process efficiency. Develop production-grade ML models to enhance customer experience, content recommendation, content generation, and predictive analysis. Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up to date with the latest in machine learning and artificial intelligence and influence AI/ML for the Life science industry. Responsibilities 4 - 8 years of experience in AI/ML engineering, with a track record of handling increasingly complex projects. Strong programming skills in Python, Rust. Experience with Pandas, NumPy, SciPy, OpenCV (for image processing) Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch. Experience with GenAI tools, such as Langchain, LlamaIndex, and open-source Vector DBs. Experience with one or more Graph DBs - Neo4J, ArangoDB Experience with MLOps platforms, such as Kubeflow or MLFlow. Expertise in one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems. Thorough understanding of software product development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices. Excellent written and verbal communication skills and interpersonal skills. Advanced degree in Computer Science, Machine Learning or related field. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

The ideal candidate for this position should possess expertise in Computer Science and Programming, along with experience in Curriculum Development and instructional design. Knowledge in areas such as Data Science, Cybersecurity, AI&ML is highly valued. Strong skills in research, publication, and student advising are essential for this role. A Doctorate (PhD) in Computer Science and Engineering is preferable, however, M.Tech/M.E freshers are also encouraged to apply. In addition to technical qualifications, the candidate should have excellent written and verbal communication skills and a commitment to teaching and scholarly excellence. Experience in obtaining research funding would be considered a plus.,

As the Director of Engineering at SIDGS, you will be responsible for leading a high-performing global engineering team structured around PODs and shared service towers. You will play a crucial role in scaling delivery across complex, multi-disciplinary teams including App Dev, Web Dev, DevSecOps, Cloud, SRE, Data & AI, and Solution Architecture. Your strategic leadership in a professional services environment will be essential for ensuring engineering excellence, process governance, talent growth, and technical innovation across our portfolio of client engagements. Your key responsibilities will include leading a matrixed engineering organization, driving alignment across functional engineering towers and shared services, mentoring Engineering Leads, promoting continuous technical and leadership development, and owning end-to-end accountability for engineering deliverables. You will ensure adherence to engineering standards, secure coding practices, and audit readiness, oversee operational metrics, DevSecOps pipelines, SRE operations, and cloud infra governance, and collaborate with Solution Engineering and Sales to support pre-sales, estimation, and proposal development. Additionally, you will champion the adoption of emerging technologies such as GenAI, Vertex AI, and LangChain into client solutions, promote reusable reference architectures, knowledge sharing via COPs, lead Engineering Process Governance & Audit (PG&A), set and monitor KPIs for engineering productivity, code quality, CI/CD performance, and uptime, ensure security compliance, including CVE remediation and DAST/SAST implementation, and partner with internal R&D teams to pilot new technologies and integrate them into practice. You will also promote certification tracks, hackathons, and experimentation in modern cloud-native and AI-based architectures. To qualify for this role, you should have 12+ years of experience in software engineering, with at least 5 years in leadership roles, a proven track record managing geographically distributed engineering teams in a services or consulting firm, and a deep understanding of cloud platforms, CI/CD, DevSecOps, SRE tools, full-stack engineering, and AI/ML platforms. Strong program/project management acumen with a bias for execution, demonstrated experience in solution architecture and client delivery management, and certifications in cloud, DevSecOps, or AI/ML are a plus. A bachelor's or master's degree in computer science or a related field is preferred.,

As the Head of Engineering at KonProz GPT, you will play a crucial role in leading our engineering team to drive technical innovation and ensure the successful development and deployment of advanced AI systems for our platform. With your deep technical background in AI/ML and Generative AI, you will be instrumental in shaping the technical vision, architecture, and implementation of our cutting-edge technology. Your key responsibilities will include leading and managing a team of engineers focused on AI/ML and Generative AI solutions, overseeing the design and development process, and ensuring that engineering practices meet the highest standards. Collaboration with cross-functional teams to align technical aspects with business goals will be essential, along with staying updated on AI/ML trends and best practices to incorporate into our platform. In addition to your managerial duties, you will also contribute hands-on coding when necessary, mentor the engineering team, and lead them in delivering scalable, secure, and efficient software solutions. Your expertise will be crucial in ensuring that our product meets legal, tax, and regulatory requirements, with a deep understanding of these sectors. To qualify for this role, you should have 6-7 years of hands-on experience in AI/ML, Generative AI, and related technologies, along with proven experience in managing engineering teams while remaining technically involved. Proficiency in Python is a must, and familiarity with Java, Go, and R is preferred. Strong understanding of frontend technologies, backend technologies, authentication systems, and cloud technologies like AWS and Firestore is also required. A Bachelor's or Master's degree in Computer Science or a related field is necessary, along with strong problem-solving skills and the ability to thrive in a fast-paced environment. If you are passionate about leveraging technology to transform the legal, tax, and regulatory sectors in India, we welcome you to join our team at KonProz GPT.,

The role based in Hyderabad is responsible for designing and delivering Process Automation Solutions using BPM technologies such as Appian, Oracle BPM, and Low code platforms like PowerApps within the Enterprise Content & Automation Services domain. As a part of the Architecture, Platforms & Data team in the Technology Transformation Organization at Novartis, you will be accountable for organizing solution design, development, and deployment efforts for various projects. Your major accountabilities will include compiling necessary resources and assigning responsibilities according to defined timelines, ensuring detailed designs align with high-level designs and are traceable to functional specifications, and adhering to the architectural roadmap to support the development and operations of solutions. You will also focus on user experience, peer reviewing solutions, ensuring timely delivery within set constraints, and establishing standardized design and development processes for cost-effective delivery. Additionally, you will be responsible for initiating solution testing, conducting service handover, leading go-live authorization discussions, tracking release and deployment packages, and ensuring the expected outcomes and value for customers are delivered. Adherence to Security and Compliance policies, awareness of architectural and business drivers, and driving innovation discussions will also be part of your responsibilities. To be successful in this role, you should possess strong knowledge in multiple Business Domains and Technologies, advanced business analyst and technology skills, experience in Agile and hybrid SDLC, and proficiency in Business Process Management (BPM) Lifecycle. Familiarity with BPM suites like Appian, Celonis, Adonis, Process Architecture, AI/ML applications, Lean and Six Sigma methodologies, as well as technical backgrounds in DB development, Java development, XML, integration, and messaging technologies will be beneficial. Novartis, as an organization, is dedicated to reimagining medicine to enhance and extend people's lives. By joining Novartis, you will be part of a mission-driven company aiming to become the most valued and trusted medicines company globally. The commitment to diversity and inclusion ensures an outstanding work environment that is inclusive and representative of the patients and communities served. If you are passionate about making a difference in healthcare and are looking for a role that challenges you to innovate and collaborate, consider joining the Novartis team to contribute to meaningful breakthroughs that impact patients" lives positively. For more information about Novartis and career opportunities, visit: https://www.novartis.com/about/strategy/people-and-culture,

You should have 6-8 years of experience in AI/ML development, with a strong emphasis on Generative AI and Prompt Engineering. Your proficiency in programming languages should include Python (primary), with knowledge of JavaScript, SQL, and NodeJS being beneficial. You should have a strong experience with AI/ML frameworks such as TensorFlow, PyTorch, Transformers, and an understanding of Generative AI models, including LLMs. Additionally, you should have expertise in designing and implementing efficient prompts for Generative AI, focusing on improving model performance, Guardrails, RAG, Prompting attacks evasion, and user interaction. Experience in integrating AI models with APIs and application servers like Flask, Django, FastAPI for scalable AI applications is required. Previous experience in Generative AI application development, especially in designing prompts for LLMs is preferred. Knowledge of SQL and NoSQL databases such as MongoDB for managing AI model inputs and outputs is essential. Experience in Vector Databases, Vector Similarity Search, and Embedding models and frameworks is also required. It would be good to have experience with cloud platforms like AWS, Azure, and containerization technologies like Docker for deploying AI solutions. A solid understanding of software development best practices, including version control (Git), code reviews, testing, and CI/CD pipelines is beneficial. Knowledge of front-end technologies (HTML, CSS, JavaScript) for developing intuitive user interfaces is an advantage. Exposure to Azure AI/ML stack and familiarity with healthcare-related projects or HIPAA compliance is advantageous. Experience in designing multi-lingual Generative AI applications would be a plus. Qualifications required for this role include a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Your skills should cover containerization technologies (Docker), AI/ML development, TensorFlow, software development best practices, code, vector databases, PyTorch, prompt engineering, JavaScript, API integration (Flask, FastAPI, Django), Python, AIML, Generative AI models, cloud platforms (AWS, Azure), SQL, databases, HIPAA compliance, multi-lingual Generative AI applications, Transformers, Azure AI/ML stack, front-end technologies (HTML, CSS, JavaScript), NoSQL databases, API, ML, LLM/OpenAI API, and application integration.,

You will be joining Veersa, a healthtech company at the forefront of leveraging emerging technology and data science to address business challenges within the US healthcare industry. With a focus on serving small and medium entities, Veersa has earned a reputation as an innovative solutions provider and a trusted innovation partner to its clients. At Veersa, you will have the opportunity to work with cutting-edge technology frameworks, platforms, and accelerators, enabling rapid solutions delivery and implementation. The company's expertise spans across various emerging technology areas such as AI/ML, IoT, and Blockchain, utilizing tech stacks including MEAN, MERN, PYTHON, GoLang, ROR, and backend technologies like Java Springboot and NodeJs, along with databases such as PostgreSQL, MS SQL, MySQL, and Oracle on AWS and Azure cloud platforms. As an Engineering Manager at Veersa, you will play a pivotal role in leading and managing a team of talented engineers, striking a balance between technical proficiency, leadership, and strategic vision. Your responsibilities will encompass team management, project leadership, technical guidance, strategic alignment, process enhancement, effective communication, and risk management. Key Responsibilities: Team Management: Take charge of hiring, training, mentoring, and evaluating engineers to foster a positive and productive team environment. Project Leadership: Plan, execute, and oversee engineering projects from inception to completion, ensuring alignment with company goals, timely delivery, and within budget. Technical Expertise: Maintain a deep understanding of technology and its applications to guide the team, make technical decisions, and ensure work quality. Strategic Alignment: Collaborate with other departments to translate business needs into technical requirements, contributing to the company's long-term strategic planning. Process Improvement: Identify and implement enhancements in engineering processes to boost efficiency and quality, including adoption of agile methodologies. Communication: Effectively communicate with team members, stakeholders, and other departments, providing updates, gathering feedback, and addressing concerns. Risk Management: Identify and address potential risks to projects and the company through risk assessments, contingency planning, and proactive issue resolution. Key Requirements: Strong technical background: Minimum 15 years of experience in software engineering with expertise in latest tech stacks and technologies. Leadership and Management Experience: Proven ability to lead, motivate, and delegate tasks effectively while providing constructive feedback. Project Management Skills: Proficiency in planning, executing, and managing projects, including goal setting, timeline definition, and resource management. Communication Skills: Excellent written and verbal communication abilities to convey technical information clearly to non-technical audiences. Problem-solving Skills: Quick and effective problem-solving capabilities both individually and as part of a team. Adaptability: Thrive in a fast-paced and dynamic startup environment. Join Veersa and be part of a team that is dedicated to driving innovation in the healthcare industry through technology and data science.,

Job Title: Kore.ai/ Power app Developer Job Summary: We are seeking a skilled Kore.ai Developer with expertise in Microsoft Power Platform to design, develop, and deploy intelligent conversational AI solutions and business automation workflows. In this role, you will work closely with business stakeholders and technical teams to build and integrate AI-powered virtual assistants using Kore.ai, while leveraging Microsoft Power Platform (Power Apps, Power Automate, Power Virtual Agents, Dataverse) to streamline and enhance business processes. You should have hands-on experience building conversational flows, NLP configurations, and APIs on the Kore.ai platform, coupled with strong knowledge of Power Platform components to create end-to-end intelligent solutions. This role requires a blend of creativity, technical acumen, and business understanding to deliver high-quality, scalable, and impactful solutions. Key Responsibilities: Design and develop AI-powered chatbots using the Kore.ai Experience Optimization (XO) Platform. Implement conversational flows, natural language processing (NLP) models, and intelligent automation workflows. Integrate chatbots with enterprise systems, databases, APIs, and third-party services. Train and optimize bots using intent recognition, entity extraction, and machine learning models . Customize bot behavior using JavaScript, Node.js, Python, and Kore.ai BotKit SDK . Develop and maintain security, authentication, and access control within bots. Conduct testing, debugging, and performance tuning to ensure a seamless user experience. Build business applications and automation workflows using Microsoft Power Platform (Power Apps, Power Automate, Dataverse, etc.). Work closely with UX/UI designers, product managers, and business stakeholders to align bot functionality with business needs. Monitor bot analytics and make data-driven improvements for better engagement and accuracy. Required Skills & Qualifications: Proven experience in developing chatbots and virtual assistants on the Kore.ai platform. Hands-on expertise in Microsoft Power Platform especially Power Apps (Canvas & Model-driven apps), Power Automate, and Dataverse. Strong knowledge of AI/ML, NLP, NLU (Natural Language Understanding), and Conversational AI concepts . Proficiency in JavaScript, Node.js, Python , or similar programming languages. Experience in integrating chatbots with RESTful APIs, Webhooks, and enterprise applications (CRM, ERP, etc.) . Familiarity with cloud platforms (AWS, Azure, GCP) and DevOps tools (CI/CD, Docker, Kubernetes) . Strong debugging and problem-solving skills. Excellent communication and teamwork abilities. Preferred Qualifications: Certification in Kore.ai Experience Optimization (XO) Platform . Experience with AI frameworks (TensorFlow, Dialogflow, Rasa, etc.) . Knowledge of voice-based AI bot development and IVR (Interactive Voice Response) systems . Experience in designing multilingual chatbots. Why Join Us? Work on cutting-edge AI-driven chatbot solutions. Opportunity to grow in the field of conversational AI. Competitive salary and benefits. Collaborative and innovative work environment.

-- NO ONLINE INTERVIEW -- We are seeking a skilled AI/ML Engineer proficient in Python to join our dynamic team. In this role, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI systems. You will be responsible for implementing algorithms and workflows that enable our organization to leverage data for insightful decision-making and innovative product solutions. Key Responsibilities:- Develop machine learning models and algorithms using Python and relevant libraries (e.g., Tensor Flow, PyTorch, sci-kit-learn). Collaborate with data engineers to design and implement data pipelines for efficient data processing, analysis, and model training. Apply machine learning techniques to solve complex business problems and optimize existing processes. Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions. Implement scalable and reliable machine learning infrastructure and productionize models. Stay updated with the latest developments in AI/ML research and apply them to improve our systems continuously. Participate in code reviews, knowledge sharing, and contribute to the overall growth of the AI/ML team.

Hiring Data Engineer with expertise in PySpark, Apache Spark, and Databricks, along with exp in analytics, data modeling, and Generative AI/Agentic AI solutions Exp in PySpark, Apache Spark, and Databricks for batch & streaming data pipelines. Required Candidate profile This role is ideal for someone who thrives at the intersection of data engineering, AI systems, and business insights Exposure to Generative AI, RAG, embedding models, and vector databases

Strong coding ability in Python & proficiency in SQL Hands-on experience with vector databases (e.g., Pinecone, FAISS, Weaviate) Practical exp with LLMs (OpenAI, Claude, Gemini, etc.) in real-world workflows Building and optimizing RAG pipelines. Required Candidate profile We are looking for a highly capable AI Engineer to contribute to the design and delivery of intelligent, scalable AI solutions Familiarity with LangChain, LlamaIndex, or similar orchestration tools.

Role & responsibilities Hi, We are hiring Gen AI Developer Please share us the updated profile to mahesh.mattaparthi@cerebra-consulting.com Position: Gen AI Developer Location: Noida, Bangalore, Hyderabad, Pune Job Type: Permanent Experience: 10+ Years Notice Period: 15 Days /Immediate joiners preferred. Job Description: Python AI/ML Gen AI Authentic AI Thanks & Regards Mahesh Mattaparthi IT Recruiter www.cerebra-consulting.com Preferred candidate profile

Technical Expertise: Must Have Proficient in Java (must have ) . Hands-on experience with AWS AI services such as AWS Bedrock and Sagemaker. Good to have Python(good to have) programming with experience in libraries like TensorFlow, PyTorch, NumPy, and Pandas Experience with DevOps practices, including CI/CD pipelines, system monitoring, and troubleshooting in a production environment. Familiarity with other platforms like Google Gemini, and Copilot technologies. Soft Skills: Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across business and technical teams. Strong problem-solving and analytical skills. Ability to work with teams in a dynamic, fast-paced environment. Key Responsibilities: Design, develop, and implement AI and machine learning models using AWS AI services like AWS bedrock and Sagemaker. Fine-tune and optimize AI models for business use cases. Implement Generative AI solutions using AWS Bedrock and Java. Write efficient, clean, and maintainable Java/Python code for AI applications. Develop and deploy RESTful APIs using frameworks like Flask or Django for model integration and consumption. Experience: 5 to 8 years of experience in software development, with 3+ years in AI/ML or Generative AI projects. Demonstrated experience in deploying and managing AI applications in production environments. Mandatory Competencies Programming Language - Java - Core Java (java 8+) Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Data Science and Machine Learning - Data Science and Machine Learning - Python Beh - Communication and collaboration Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate Middleware - API Middleware - Microservices

We are looking for a skilled AI/ML Ops Engineer to join our team to bridge the gap between data science and production systems. You will be responsible for deploying, monitoring, and maintaining machine learning models and data pipelines at scale. This role involves close collaboration with data scientists, engineers, and DevOps to ensure that ML solutions are robust, scalable, and reliable. Key Responsibilities: Design and implement ML pipelines for model training, validation, testing, and deployment. Automate ML workflows using tools such as MLflow, Kubeflow, Airflow, or similar. Deploy machine learning models to production environments (cloud). Monitor model performance, drift, and data quality in production. Collaborate with data scientists to improve model robustness and deployment readiness. Ensure CI/CD practices for ML models using tools like Jenkins, GitHub Actions, or GitLab CI. Optimize compute resources and manage model versioning, reproducibility, and rollback strategies. Work with cloud platforms AWS and containerization tools like Kubernetes (AKS). Ensure compliance with data privacy and security standards (e.g., GDPR, HIPAA). Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or related field. 5+ years of experience in DevOps, Data Engineering, or ML Engineering roles. Strong programming skills in Python; familiarity with R, Scala, or Java is a plus. Experience with automating ML workflows using tools such as MLflow, Kubeflow, Airflow, or similar Experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or XGBoost. Experience with ML model monitoring and alerting frameworks (e.g., Evidently, Prometheus, Grafana). Familiarity with data orchestration and ETL/ELT tools (Airflow, dbt, Prefect). Preferred Qualifications: Experience with large-scale data systems (Spark, Hadoop). Knowledge of feature stores (Feast, Tecton). Experience with streaming data (Kafka, Flink). Experience working in regulated environments (finance, healthcare, etc.). Certifications in cloud platforms or ML tools. Soft Skills: Strong problem-solving and debugging skills. Excellent communication and collaboration with cross-functional teams. Adaptable and eager to learn new technologies. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - AI/ML Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift Development Tools and Management - Development Tools and Management - CI/CD Data Science and Machine Learning - Data Science and Machine Learning - Gen AI (LLM, Agentic AI, Gen AI enable tools like Github Copilot) Big Data - Big Data - Hadoop Big Data - Big Data - SPARK Data Science and Machine Learning - Data Science and Machine Learning - Python Beh - Communication and collaboration

Required skills: 5 + years of experience in IT Technology. 2+ years of experience in AI / ML with strong working knowledge in neural networks. 2+ years of data engineering experience preferably using AWS Glue, Cribl, SignalFx, OpenTelemetry or AWS Lambda 2+ years of python coding using numpy, vectorization and Tensorflow. 2+ years of experience leading complex enterprise-wide integration programs and efforts as an individual contributor Preferred Skills: Mathematics or physics degree. 2+ years of technical knowledge in cloud technologies such as AWS, Azure, GCP Excellent verbal, written, and interpersonal communication skills Ability to provide strong customer service.

Job Description: 1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem b. Improve Model accuracy to deliver greater business impact c. Estimate business impact due to deployment of model 2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge 3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch 5. Experience in using Deep learning models with text, speech, image and video data a. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc b. Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV c. Knowledge of State of the art Deep learning algorithms 6. Optimize and tune Deep Learnings model for best possible accuracy 7. Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau 8. Work with application teams, in deploying models on cloud as a service or on-prem a. Deployment of models in Test / Control framework for tracking b. Build CI/CD pipelines for ML model deployment 9. Integrating AI&ML models with other applications using REST APIs and other connector technologies 10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

We are seeking a Data Science Engineer to design, build, and optimize scalable data and machine learning systems. This role requires strong software engineering skills, a deep understanding of data science workflows, and the ability to work cross-functionally to translate business problems into production-level data solutions. Key Responsibilities: Design, implement, and maintain data science pipelines from data ingestion to model deployment. Collaborate with data scientists to operationalize ML models and algorithms in production environments. Develop robust APIs and services for ML model inference and integration. Build and optimize large-scale data processing systems using Spark, Pandas, or similar tools. Ensure data quality and pipeline reliability through rigorous testing, validation, and monitoring. Work with cloud infrastructure (AWS) for scalable ML deployment. Manage model versioning, feature engineering workflows, and experiment tracking. Optimize performance of models and pipelines for latency, cost, and throughput. Required Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of experience in a data science, ML engineering, or software engineering role. Proficiency in Python (preferred) and SQL; knowledge of Java, Scala, or C++ is a plus. Experience with data science libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch. Familiarity with ML deployment tools such as ML flow, Sage Maker, or Vertex AI. Solid understanding of data structures, algorithms, and software engineering best practices. Experience working with databases (SQL, NoSQL) and data lakes (e.g., Delta Lake, Big Query). Preferred Qualifications: Experience with containerization and orchestration (Docker, Kubernetes). Experience working in Agile or cross-functional teams. Familiarity with streaming data platforms (Kafka, Spark Streaming, Flink). Soft Skills: Strong communication skills to bridge technical and business teams. Excellent problem-solving and analytical thinking. Self-motivated and capable of working independently or within a team. Passion for data and a curiosity-driven mindset. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - AI/ML Database - Database Programming - SQL Artifical Intelligence - AI Tools - TensorFlow Cloud - AWS - ECS DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)

Requirements Key Responsibilities: Lead the design and development of AI-driven applications, particularly focusing on RAG-based chatbot solutions. Architect robust solutions leveraging Python and Java to ensure scalability, reliability, and maintainability. Deploy, manage, and scale AI applications using AWS cloud infrastructure, optimizing performance and resource utilization. Collaborate closely with cross-functional teams to understand requirements, define project scopes, and deliver solutions effectively. Mentor team members, providing guidance on best practices in software development, AI methodologies, and cloud deployments. Ensure solutions meet quality standards, including thorough testing, debugging, performance tuning, and documentation. Continuously research emerging AI technologies and methodologies to incorporate best practices and innovation into our products. --- Required Qualifications: Bachelors or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics or related fields. At least 5 years of professional experience in AI/Machine Learning engineering. Strong programming skills in Python and Java. Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)-based chatbots or similar generative AI applications. Proficiency in cloud platforms, particularly AWS, including experience with EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway. Solid understanding of AI methodologies, including natural language processing (NLP), vector databases, embedding models, and large language model integrations. Experience with leading projects or teams, managing technical deliverables, and ensuring high-quality outcomes. AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty). Familiarity with popular AI/ML frameworks and libraries such as Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or similar. Experience in Agile development methodologies. Excellent communication skills, capable of conveying complex technical concepts clearly and effectively. Strong analytical and problem-solving capabilities, with the ability to navigate ambiguous technical challenges.

Role Description 1. AI Product Strategy & Execution Define and drive the product vision, roadmap, and execution strategy for AI-powered solutions, with a focus on computer vision technologies and real-time AI models. Own key product KPIs, including model accuracy, latency, adoption rate, and computational efficiency for cloud/edge deployments. Lead the end-to-end product lifecycle, from conceptualization and prototyping to large-scale deployment. Ensure scalability, modularity, and reusability of AI & Engineering components across different use cases, by working closely with Engineering and AI scientist team . Optimize AI model performance for edge devices, low-latency processing, and cloud-scale inference. Establish robust processes for development, QA testing, and deployments within the team. 2. Product Engineering for Cloud and Edge deployments AI Product Engineering & Scalable Architecture Architect and optimize scalable AI/ML pipelines, ensuring low-latency, high-availability systems. Collaborate with AI/ML teams to integrate Computer Vision, Deep Learning, and Reinforcement Learning models into production systems. Cloud Engineering & Infrastructure Design and implement highly scalable, distributed cloud infrastructure on Cloud (AWS, Azure, or GCP) Implement containerization (Docker, Kubernetes) and microservices architecture for AI-driven applications Edge Deployment & Optimization AI model deployment on edge devices, ensuring efficiency in resource-constrained environments. 3. AI Solutioning & Technical Problem-Solving Partner with AI and engineering teams to define, train, and deploy computer vision models for real-time applications. Guide experimentation and model fine-tuning to improve object detection, tracking, segmentation, and classification tasks. Drive decisions on model architectures (CNNs, Vision Transformers, YOLO,Reinforcement learning etc.) and deployment strategies for cloud (AWS/GCP/Azure) and edge (NVIDIA Jetson, TPUs). Work with data science teams to ensure high-quality labeled datasets, model explainability, and model stability. Optimize AI pipelines for real-time inferencing, multi-camera vision processing, and computational efficiency. Balance experimentation and rapid delivery, ensuring faster time-to-market for AI innovations. Technical Skills Technical Acumen: Strong understanding of computer vision models (CNNs, Vision Transformers, YOLO, TrackNet, etc.), data pipelines, and AI/ML deployment architectures Cloud & Edge AI Deployment: Experience in deploying AI models on cloud (AWS/GCP/Azure) and edge (Jetson, FPGAs, TPUs) environments, optimizing for latency and efficiency. Strategic Thinking & Solutioning: Ability to define AI-driven solutions for complex, open-ended problems. Nice-to-have skills Stakeholder & CXO Influence: Proven ability to engage and influence senior executives, business leaders, and technical teams. Agile Product Development: Experience with JIRA, Scrum, backlog grooming, and iterative development. Excellent Communication: Ability to articulate technical AI concepts to both technical and non-technical audiences. Qualifications Experience in AI Product Management: 13-16 years in product management, with a strong track record in AI/ML-powered solutions, real-time data products, or high-tech innovations.

School of Computer Science & Engineering - Career Point University, Kota invites applications from prospective & eligible candidates for the vacant post of Assistant Professor - CSE. The primary job responsibility is to take UG/PG classes along with active participation in other academic and administrative works. Apart from classroom teaching, the candidate is also required to arrange seminars and conferences and supervise student's work. He/she should be able to collaborate with other organizations in research and academics. Applicant should hold PhD degree in the relevant subject from a reputed University / University Affiliated Institution. Also, the candidate should have proven credentials in the form of published work in journals/books or has earned patents or developed technologies etc. Candidates with NET will be preferred. Interested Candidates can share their resumes at jobs@cpur.edu.in or call @ 9057532005.

Key Responsibilities: Own the execution of end-to-end product lifecycle for Reklaim hardware products: from concept and prototyping to manufacturing, QA and field deployment Serve as the glue between engineering functions (AI, data science, embedded systems, mechanical design, fabrication) to ensure aligned execution and milestone delivery Collaborate with cross-functional teams to develop modular, scalable, and demography-aware devices (urban/rural fit, portable, low-MOQ deployable) Translate business goals into detailed product requirements, user stories, and acceptance criteria for agile hardware-software co-development Drive initiatives for cost optimization (BOM reduction, shared inventory use), feature refinement, and design miniaturization Maintain and evolve a clear product roadmap, aligning hardware releases with AI and cloud integration timelines. Facilitate sprint planning, reviews, and daily stand-ups to ensure visibility, prioritization, and velocity of deliverables Engage with procurement, EMS vendors, and QC teams to ensure timely production, quality assurance, and compliance Act as the voice of the customer - conduct feedback loops, user testing, and field trials for continual improvement Own and evolve product documentation, specs, testing plans, and validation reports for each SKU. Qualifications: Bachelors or Master’s degree in Electronics, Mechanical, Industrial Design, or a related engineering field 3 to 6 years experience as a Product Owner or Technical Program Manager, preferably in IoT, embedded systems, or AI-hardware integration Strong acumen in embedded firmware, mechanical integration, and edge AI use-cases (e.g., image classification, object detection) Familiarity with hardware life cycles: from PCB design, component sourcing, to fabrication and enclosure validation Experience working in agile teams and familiarity with hardware/software co-development cycles Understanding of AI model integration, OTA pipeline design, and managing cross-device intelligence features Excellent communication skills and ability to translate technical details into actionable business insights Preferred Skills: Exposure to AI/ML, particularly in computer vision, object detection, or model deployment on edge devices Experience coordinating with EMS vendors, fabrication shops, and certification agencies Working knowledge of OTA pipelines, eSIM fleet management, and device-level cybersecurity Past experience in delivering cost-sensitive products for Indian or emerging markets Familiarity with UX for hardware and feedback mechanisms via mobile/web interfaces

Job Description: Embedded Systems Lead Drones, UGVs & Robotics Location: Hyderabad (On-site) Function: R&D | Embedded Systems Reports to: VP - R&D / CTO About the Role We are looking for a seasoned and hands-on Embedded Systems Lead to architect, develop, and optimize the embedded platforms driving our UAVs, UGVs, and autonomous robotics systems. This role is critical to advancing capabilities in battery optimization, obstacle avoidance, and navigation autonomy, ensuring high-reliability embedded solutions in dynamic and rugged environments. Key Responsibilities Embedded Systems Architecture & Development Architect and develop embedded solutions for UAVs, UGVs, and robotics, with a focus on autonomy and reliability. Design and optimize firmware for microcontrollers, sensor interfacing, and real-time processing. Battery Systems & Power Optimization Collaborate with electronics and battery teams to implement and optimize Battery Management Systems (BMS) for high-efficiency power usage. Optimize energy consumption strategies across sensors, compute modules, and communication systems. Obstacle Avoidance & Navigation Integrate and optimize sensor fusion algorithms combining data from LiDAR, stereo cameras, IMUs, GNSS, ultrasonic sensors, and radar. Collaborate with AI and systems software teams to enable real-time SLAM, path planning, and autonomous navigation. Hardware-Software Co-Design Work closely with the Electronics, Mechanical, and Systems Integration teams to ensure tight coupling between hardware capabilities and embedded firmware. Review and contribute to PCB design for signal integrity, thermal considerations, and EMI/EMC compliance. Team Leadership & Technical Mentorship Build, mentor, and lead a high-performance embedded engineering team. Conduct technical reviews and provide architectural guidance. Testing, Validation & Compliance Define and drive testing strategies for embedded platforms under real-world and extreme conditions (temperature, vibration, dust). Implement robust debugging, diagnostics, and performance monitoring mechanisms. Required Skills & Experience Bachelors/Masters in Electronics, Embedded Systems, Robotics, or related field. 8+ years experience in embedded systems development, ideally in drones, UGVs, robotics, or aerospace electronics. Expertise in Embedded C/C++, RTOS, and low-level driver development. Power management and battery systems integration. Sensor fusion and control systems for navigation. PCB design tools and hardware debugging (Altium, Eagle, oscilloscopes, JTAG). Communication protocols: CAN, I2C, SPI, UART. Prior experience with SLAM, obstacle avoidance systems, or autonomy-enabling technologies is highly preferred. Preferred Skills Familiarity with AI/ML inference on embedded platforms for perception tasks. Experience with motor control, ESC optimization, and propulsion systems. Knowledge of safety-critical systems and functional safety standards (e.g., ISO 26262). Personal Attributes Problem-solving mindset with a hands-on approach. Strong leadership skills and ability to work in a cross-functional startup environment. Passionate about building cutting-edge autonomous systems. Compensation Competitive and commensurate with experience and capability. How to Apply Send your resume, project portfolio, or technical write-ups to careers@marutdrones.com