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2.0 - 4.0 years

3 - 6 Lacs

Vellore

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Applications are invited for the Project Associate-I for the MoES funded project under Deep Ocean Mission scheme in the School of Computer Science and Engineering (SCOPE), at Vellore Institute of Technology (VIT), (MoES/PAMC/DOM/58/2023 (E-14510) Title of the Project : Design and Development of Machine Learning Models and Expert System for Automated Characterization of Underwater Species: Indian Scenario Qualification : BE/B.Tech(CSE/IT/ECE/EEE) Describe if any Candidates who have knowledge in programming, app development, image processing, full stack development, machine learning, deep learning and computer related field will be given preference Stipend : Rs. 31,000/- per month + HRA (as per norms) for applicants with CSIR –UGC NET including lectureship (Assistant Professorship) or GATE Rs. 25000/- per month + HRA (as per norms) for applicants who do not fall under (i) above Sponsoring Agency : Ministry of Earth sciences, Government of India, New Delhi . Duration : 24 Months Principal Investigator : Dr. Swathi J N, Professor School of Computer Science and Engineering, Vellore Institute of Technology (VIT) Vellore - 632 014, Tamil Nadu. Co-Principal Investigator : Dr. Boominathan P, Professor School of Computer Science and Engineering, Vellore Institute of Technology (VIT) Vellore - 632 014, Tamil Nadu. Dr. Shashank Mouli Satapathy, Professor School of Computer Science and Engineering, Vellore Institute of Technology (VIT) Vellore - 632 014, Tamil Nadu. Send your resume along with relevant documents pertaining to the details of qualifications, scientific accomplishments, experience (if any) and latest passport size photo etc. on or before ( 5/6/2025) through online http://careers.vit.ac.in No TA and DA will be paid for appearing the interview. Shortlisted candidates will be called for an interview at a later date which will be intimated by email. The selected candidate will be expected to join at the earliest.

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2.0 - 4.0 years

4 - 7 Lacs

Vellore

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Applications are invited for the Senior Project Associate for the MoES funded project under Deep Ocean Mission scheme in the School of Computer Science and Engineering (SCOPE), at Vellore Institute of Technology (VIT), (MoES/PAMC/DOM/58/2023 (E-14510) Title of the Project : Design and Development of Machine Learning Models and Expert System for Automated Characterization of Underwater Species: Indian Scenario Qualification : BE/B.Tech(CSE/IT/ECE/EEE) with Four years’ experience in Research and Development in Industry and Academic Institutions or Science and Technology Organizations and Scientific activities and Services OR Doctoral Degree in Engineering/Technology/MS from a recognized University/Equivalent Describe if any Candidates who have knowledge in programming, app development, image processing, full stack development, machine learning, deep learning and computer related field will be given preference Stipend : Rs. 42,000/- per month (as per eligibility) + HRA (as per norms) Sponsoring Agency : Ministry of Earth sciences, Government of India, New Delhi . Duration : 24 Months Principal Investigator : Dr. Swathi J N, Professor School of Computer Science and Engineering, Vellore Institute of Technology (VIT) Vellore - 632 014, Tamil Nadu. Co-Principal Investigator : Dr. Boominathan P, Professor School of Computer Science and Engineering, Vellore Institute of Technology (VIT) Vellore - 632 014, Tamil Nadu. Dr. Shashank Mouli Satapathy, Professor School of Computer Science and Engineering, Vellore Institute of Technology (VIT) Vellore - 632 014, Tamil Nadu. Send your resume along with relevant documents pertaining to the details of qualifications, scientific accomplishments, experience (if any) and latest passport size photo etc. on or before ( 5/6/2025) through online http://careers.vit.ac.in No TA and DA will be paid for appearing the interview. Shortlisted candidates will be called for an interview at a later date which will be intimated by email. The selected candidate will be expected to join at the earliest.

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1.0 - 4.0 years

7 - 11 Lacs

Ludhiana

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Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

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1.0 - 4.0 years

7 - 11 Lacs

Coimbatore

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Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

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1.0 - 4.0 years

7 - 11 Lacs

Jaipur

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Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

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3.0 - 7.0 years

10 - 15 Lacs

Bengaluru

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Person at this position takes ownership of a module and associated quality and delivery. Person at this position provides instructions, guidance and advice to team members to ensure quality and on time delivery. Person at this position is expected to be able to instruct and review the quality of work done by technical staff. Person at this position should be able to identify key issues and challenges by themselves, prioritize the tasks and deliver results with minimal direction and supervision. Person at this position has the ability to investigate the root cause of the problem and come up alternatives/ solutions based on sound technical foundation gained through in-depth knowledge of technology, standards, tools and processes. Person has the ability to organize and draw connections among ideas and distinguish between those which are implementable. Person demonstrates a degree of flexibility in resolving problems/ issues that atleast to in-depth command of all techniques, processes, tools and standards within the relevant field of specialisation. Roles & Responsibilities Responsible for requirement analysis and feasibility study including system level work estimation while considering risk identification and mitigation. Responsible for design, coding, testing, bug fixing, documentation and technical support in the assigned area. Responsible for on time delivery while adhering to quality and productivity goals. Responsible for traceability of the requirements from design to delivery Code optimization and coverage. Responsible for conducting reviews, identifying risks and ownership of quality of deliverables. Responsible for identifying training needs of the team. Expected to enhance technical capabilities by attending trainings, self-study and periodic technical assessments. Expected to participate in technical initiatives related to project and organization and deliver training as per plan and quality. Expected to be a technical mentor for junior members. Person may be given additional responsibility of managing people based on discretion of Project Manager. Education and Experience Required Engineering graduate, MCA, etc Experience: 5-8 years Competencies Description Data Science TCB is applicable to one who 1) Analyses data to arrive at patterns/Insights/models 2) Come up with models based on the data to provide recommendations, predictive analytics etc 3) Provides implementation of the models in R, Matlab etc 4) Can understand and apply machine learning/AI techniques Platforms- Unix Tools- R, Matlab, Spark Machine Learning, Python-ML, SPSS, SAS Languages- R, Perl, Python, Scala Specialization- COGNITIVE ANALYTICS INCLUDING COMPUTER VISION, AI and ML, STATISTICS

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1.0 - 5.0 years

3 - 7 Lacs

Jaipur

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ventureit global solutions is looking for AI/ML Engineer to join our dynamic team and embark on a rewarding career journey. you will play a critical role in designing, developing, and deploying artificial intelligence and machine learning solutions that drive innovation and improve business outcomes. You will work closely with cross-functional teams to understand business needs, develop machine learning models, and create scalable, data-driven applications. Your expertise in AI/ML will enable us to harness the power of data for strategic advantage. Key Responsibilities: Solution Design: Collaborate with stakeholders to define AI/ML project requirements and objectives. Data Collection: Identify and gather relevant data from various sources, ensuring data quality and reliability. Data Preprocessing: Clean, preprocess, and transform data to prepare it for model development. Model Development: Build and train machine learning models using appropriate algorithms and techniques. Feature Engineering: Create relevant features and feature engineering pipelines to improve model performance. Model Evaluation: Evaluate model performance using appropriate metrics and validation techniques. Hyperparameter Tuning: Optimize model hyperparameters to achieve the best results. Deployment: Deploy machine learning models into production environments, ensuring scalability and reliability. Monitoring: Implement model monitoring and maintenance processes to ensure ongoing performance. Documentation: Maintain comprehensive documentation of AI/ML models, methodologies, and results. Research: Stay updated on the latest AI/ML research and technologies, and apply new insights to projects. Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field (Master's degree preferred). Proven experience in AI/ML development, with a strong portfolio of projects. Proficiency in machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong programming skills in languages such as Python or R. Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of deep learning, neural networks, and natural language processing (NLP) is a plus. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker) is a plus. Excellent problem-solving and analytical skills. Effective communication and collaboration abilities. Ability to work independently and as part of a multidisciplinary team.

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8.0 - 13.0 years

30 - 35 Lacs

Pune

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We are seeking a highly skilled and experienced Data Scientist to join our team and contribute to the development of innovative solutions in the mainframe domain. The ideal candidate will have a strong background in data analysis, machine learning, deep learning and GEN AI domain. This role involves leveraging data to derive insights, build predictive & generative models, and enhance our mainframe services. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Build out prototypes using a variety of cutting-edge technologies and tools. Develop quantitative models using a variety of programs/software to support predictive assessments. Support adoption of Artificial Intelligence (AI) and Machine Learning (ML) solutions. Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models & techniques. Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques. Design algorithms that require several different models/methods to be used in an ensemble. Deploy models into production. To ensure youre set up for success, you will bring the following skillset & experience: Proven experience as a Data Scientist with expertise in Machine learning, Deep Learning and MLOps. Hands on experience with Prompt Engineering, RAG, LLM Evaluation and LLM Fine tuning. Familiarity with different LLM Architectures. Strong programming skills in languages such as Python. Strong knowledge of statistical analysis, data mining, and machine learning techniques. Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch). Proficiency in data visualization tools (e.g., Tableau, Kibana) and experience with dashboard creation. Knowledge of SQL for data manipulation Excellent communication skills: demonstrated ability to explain complex technical concepts to both technical and non-technical audiences. Work on complex problems where analysis of situations or data requires an in-depth evaluation of several factors. Self-learner, flexible and able to work in a multi-tasked and dynamic environment. Collaborate with domain experts to understand business requirements and formulate data-driven solutions. Implement strategies for model optimization, taking into account the constraints and requirements of mainframe environments. Whilst these are nice to have, our team can help you develop in the following skills: Bachelors degree in computer science, Engineering, or a related field with 8 years of Data Science, or a related field experience. Hands on experience with Prompt Engineering, RAG, LLM Evaluation and LLM Fine tuning Solid understanding in NLP concepts and familiarity with NLP libraries. Familiarity in writing Python backend APIs using Fast API, Flask or other frameworks. Knowledge of fine tuning LLMs including Llama, BERT and GPT based. Self-starter and intellectual curiosity Great communication skills, ability to explain predictive analytics to non-technical audience. Familiarity with machine learning frameworks and libraries. Proficiency in data exploration techniques and tools Familiarity with observability tools and practices. Familiarity with cloud platforms (e.g., OCP, AWS, Azure, GCP). Knowledge of statistical analysis, hypothesis testing, and data visualization techniques. Experience with Agile methodology, use of Atlassian products Jira, Confluence. Worked on multiple Gen AI projects and delivered them E2E successfully. Knowledge of forecasting and predictive modeling. Any Azure or AWS Cloud certification Experience with big data technologies (e.g., Hadoop, Spark). Familiarization with DevOps tools and concepts such as Infrastructure as code, Jenkins, Ansible, and Terraform. Mainframe knowledge is a plus.

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2.0 - 3.0 years

2 - 3 Lacs

Chennai

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1.5+ years of hands-on experience in data science or analytics. Proficient in Python, statistics, SQL, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Tableau Passion for teaching and a strong desire to help learners succeed.

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4.0 - 7.0 years

25 - 30 Lacs

Bengaluru

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Overview: Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor s Best Places to Work Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development/deployment cycle, and deep knowledge of industry best practices, Data Science and Machine Learning experience with the ability to implement them working with both the platform, and the product teams. Scope Our machine learning platform ingests data in real time, processes information from millions of retail items to serve deep learning models and produces billions of predictions on a daily basis. Blue Yonder Data Science and Machine Learning team works closely with sales, product and engineering teams to design and implement the next generation of retail solutions. Data Science team members are tasked with turning both small, sparse and massive data into actionable insights with measurable improvements to the customer bottom line. Our current technical environment: Software: Python 3.* Frameworks/Others: TensorFlow, PyTorch, BigQuery/Snowflake, Apache Beam, Kubeflow, Apache Flink/Dataflow, Kubernetes, Kafka, Pub/Sub, TFX, Apache Spark, and Flask. Application Architecture: Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architecture. Cloud: Azure What we are looking for: Bachelor s Degree in Computer Science or related fields; graduate degree preferred. Solid understanding of data science and deep learning foundations. Proficient in Python programming with a solid understanding of data structures. Experience working with most of the following frameworks and libraries: Pandas, NumPy, Keras, TensorFlow, Jupyter, Matplotlib etc. Expertise in any database query language, SQL preferred. Familiarity with Big Data tech such as Snowflake , Apache Beam/Spark/Flink, and Databricks. etc. Solid experience with any of the major cloud platforms, preferably Azure and/or GCP (Google Cloud Platform). Reasonable knowledge of modern software development tools, and respective best practices, such as Git, Jenkins, Docker, Jira, etc. Familiarity with deep learning, NLP, reinforcement learning, combinatorial optimization etc. Provable experience guiding junior data scientists in official or unofficial setting. Desired knowledge of Kafka, Redis, Cassandra, etc. What you will do: As a Senior Data Scientist, you serve as a specialist in the team that supports the team with following responsibilities. Independently, or alongside junior scientists, implement machine learning models by Procuring data from platform, client, and public data sources. Implementing data enrichment and cleansing routines Implementing features, preparing modelling data sets, feature selection, etc. Evaluating candidate models, selecting, and reporting on test performance of final one Ensuring proper runtime deployment of models, and Implementing runtime monitoring of model inputs and performance in order to ensure continued model stability. Work with product, sales and engineering teams helping shape up the final solution. Use data to understand patterns, come up with and test hypothesis; iterate. Help prepare sales materials, estimate hardware requirements, etc. Attend client meetings, online and onsite, to discuss new and current functionality

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4.0 - 9.0 years

3 - 8 Lacs

Bengaluru

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Role & responsibilities Strong training experience highly preferred in Python, Power BI, Machine Learning, Deep Learning using Tensorflow, NLP, , PySpark, Hands on programming with Cloud computing, Computer Vision software etc. Strong debugging skills Strong communication and interpersonal skills. Must be a self-starter. Training Graduate Engineers, Working professionals, Corporate freshers and Laterals. College Workshop Trainings. Content Development, Technical Assessment and Evaluation, Project development Expertise in handling multiple inhouse and corporate trainings with proven track record and quality delivery. Experienced in course content development based on the training requirements. Course material development Experience in developing Hands-on projects and hand-holding large groups of students in the same. Corporate Training : Understand the requirements from client and deliver training as per the corporate clients requirements. Working experiences on embedded systems project development Knowledge on Hardwares Experienced in all phases of product life cycle including requirements, design, coding Managing all aspects of the training cycle i.e. Training need analysis, course development, implementation and delivery, monitoring and evaluation. Ensuring quality delivery to students Establish expectations with project members and provide timely feedback Manage the work of developer resources, mentoring and coaching as needed Provide programming direction to a team of trainers. Preferred candidate profile

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6.0 - 11.0 years

25 - 30 Lacs

Hyderabad

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The Distinguished Engineer for Emerging Technologies is a senior-level engineering leadership role responsible for shaping and guiding the strategic direction, technical architecture, and adoption of emerging technologies across the conversational chatbot and search business unit, with a primary focus on Artificial Intelligence (AI), Generative AI (GenAI), and Agentic AI. This role involves working closely with senior executives, cross-functional engineering teams, and key business units to build robust, scalable, and innovative technology solutions that drive the companys strategic initiatives. The Distinguished Engineer will be a thought leader in the conversational AI space, leveraging deep technical expertise to drive breakthroughs in applied AI technologies, mentor teams and drive innovations. What youll be doing You will be overseeing design, development, and implementation of complex software systems and enterprise-level applications and drive digital transformation. This role offers an exceptional opportunity to influence, innovate, and lead in an environment dedicated to pushing the boundaries of AI technology in conversational and enterprise search space. Performing cross-functional, multidisciplinary technical oversight to include evaluation of project work, scope, resources, methods and associated procedures related to org level initiatives. Understanding technical and functional architecture of current systems in Verizon Consumer business and bring in architecture recommendation for building intelligent conversational agents for Chatbot applications across different platforms (web, mobile, voice assistant) catering to customer sales and support applications Define and lead the technology strategy for Conversational Chatbot and Search, with a focus on advancing AI, Gen AI and Agentic AI initiatives Drive strategy for Conversational Chatbot and Search application. Provide strategic insights on AI trends, advancements, and competitive positioning to the executive leadership team. Identifying new technologies, continuous evaluation of evolving industry trends, and best practices, which can be applied in the applications and drive overall IT/Business benefits. Drive innovation and thought leadership in the team and building a strong pipeline for innovation/ideas and help guide the teams navigate from conceptual to implementation phases. Drive hackathons and ideathons at Org level. Influence and align cross-functional teams and business units to ensure cohesive execution of AI-driven objectives and goals. Partnering with Associate fellows and architects across consumer business on several org level initiatives. Mentoring and developing next level Principal Engineers, fostering a culture of technical excellence and continuous learning in emerging technologies will also be a core aspect of this role. Publish white papers, patents and research findings to position the organization as an industry leader in emerging technologies Working with startups to drive partnerships in developing Niche solutions for Consumer Business. Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. You'll need to have: Masters degree or Six or more years of work experience. Six or more years of experience in the roles of Technical/Solutions Architect principles and practices of application design and systems integration. Six or more years of experience of leading design, conceptualizing, designing and architecture of complex IT systems solutions. Six or more years of relevant experience engaging in product, technology and Industry evaluations. Experience in 4G & 5G Wireless Telecom especially in RAN network along with RF Engineering skills Experience in handling multiple stakeholders and large vendor teams Experience in handling contact center solutions specifically chatbot, call center applications and tools, Web Application Solution and AI/GenAI Solution deployments at scale. Five or more years of experience in defining architecture and building Conversational AI solutions with latest technologies like Google Dialog Flow, ReactJS, Springboot based microservices Strong background in systems architecture, data engineering, and cloud-native technologies (AWS, GCP, Azure), application performance monitoring using industry leading tools and data visualization. Expertise in AI, machine learning, deep learning, natural language processing, generative AI techniques, Autonomous experiences (Agentic AI) and Digital Twins Proficiency in Python, TensorFlow, PyTorch, and other AI/ML frameworks. Experience with MLOps, data ethics, and large-scale AI deployment. Experience in filing patents and holding white papers and patents. Affiliations with architecture and design industry forums. Awareness of Security and Legal requirements related to IT solutions Experience in driving innovation in organizations via hackathons, ideathons and technology evangelism. Experience providing guidance to the delivery teams in articulating Solution Architecture and converting them into implementable Technical Designs. Even better if you have one or more of the following: Certifications in the specific technology areas. Ability to represent the team/application areas in various technology forums both internal and external. Strong verbal and written communication skills with skills in negotiations and building strong consensus with all stakeholders.Experience in playing the role of a technology person and a vivid speaker who has represented in technology forums. Experience in consulting roles to drive digital adoption across multiple business domains. Strong relationship skills and collaborative style to enable success across multiple partners. Strong commercial mindset and orientations to driving business value (revenue growth and expense mitigation).

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3.0 - 5.0 years

8 - 14 Lacs

Bengaluru

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Key Responsibilities : - Design, develop, and deploy AI/ML models for data-driven applications. - Work with Neo4j (Graph Database) to model and analyze complex relationships in datasets. - Implement machine learning algorithms for recommendation systems, predictive analytics, and knowledge graphs. - Develop and optimize graph-based data pipelines and algorithms using Neo4j Cypher queries. - Process, clean, and analyze large datasets for feature engineering and model training. - Integrate ML models into scalable applications using Python, TensorFlow, PyTorch, or Scikit-learn. - Optimize model performance, accuracy, and scalability for production deployment. - Collaborate with data scientists, backend engineers, and product teams to enhance AI capabilities. Required Skills : - Machine Learning & Deep Learning : Hands-on with ML models, classification, clustering, NLP. - Neo4j & Graph Databases : Experience in graph data modeling, Cypher queries, and data relationships. - Programming : Proficiency in Python, TensorFlow, PyTorch, Scikit-learn. - Data Engineering : Experience with ETL pipelines, data preprocessing, and feature engineering. - Big Data & Cloud : Exposure to Spark, Kafka, AWS/GCP/Azure (Good to have). - MLOps & Deployment : Working knowledge of Docker, Kubernetes, CI/CD pipelines. - Strong Analytical & Problem-Solving Skills for AI-driven applications. Good to Have : - Experience with Graph Neural Networks (GNNs) and Graph Data Science. - Knowledge of NLP, Computer Vision, or Time-Series Analysis. - Exposure to automated ML pipelines and model monitoring.

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3.0 - 5.0 years

8 - 14 Lacs

Bengaluru

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Artificial Intelligence/Machine Learning Engineer - Neo4j/Deep Learning Role : AI/ML Engineer Location : Bangalore Experience : 3-4 Years Joining : Immediate (Preferred) Key Responsibilities : - Design, develop, and deploy AI/ML models for data-driven applications. - Work with Neo4j (Graph Database) to model and analyze complex relationships in datasets. - Implement machine learning algorithms for recommendation systems, predictive analytics, and knowledge graphs. - Develop and optimize graph-based data pipelines and algorithms using Neo4j Cypher queries. - Process, clean, and analyze large datasets for feature engineering and model training. - Integrate ML models into scalable applications using Python, TensorFlow, PyTorch, or Scikit-learn. - Optimize model performance, accuracy, and scalability for production deployment. - Collaborate with data scientists, backend engineers, and product teams to enhance AI capabilities. Required Skills : - Machine Learning & Deep Learning : Hands-on with ML models, classification, clustering, NLP. - Neo4j & Graph Databases : Experience in graph data modeling, Cypher queries, and data relationships. - Programming : Proficiency in Python, TensorFlow, PyTorch, Scikit-learn. - Data Engineering : Experience with ETL pipelines, data preprocessing, and feature engineering. - Big Data & Cloud : Exposure to Spark, Kafka, AWS/GCP/Azure (Good to have). - MLOps & Deployment : Working knowledge of Docker, Kubernetes, CI/CD pipelines. - Strong Analytical & Problem-Solving Skills for AI-driven applications. Good to Have : - Experience with Graph Neural Networks (GNNs) and Graph Data Science. - Knowledge of NLP, Computer Vision, or Time-Series Analysis. - Exposure to automated ML pipelines and model monitoring.

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4.0 - 6.0 years

18 - 25 Lacs

Mumbai, Delhi / NCR, Bengaluru

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Design, develop, and maintain full-stack software proofs of concept Collaborate with cross-functional teams to define, design, and deliver new exploratory features Experiment with new ideas and technologies to improve our deliverables and processes Apply AI technology to solve problems in innovative ways Formulate action plans to achieve specific goals Continuously discover, evaluate, and implement new technologies to maximize development efficiency Write clear documentation Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. 5+ years of experience as a Full Stack Developer or similar role. Experience developing desktop and mobile applications. Proficiency in fundamental front-end languages such as HTML, CSS, and JavaScript. Strong knowledge of JavaScript frameworks (e.g., Angular, React, Node.js). Familiarity with database technology such as MySQL, Oracle, and MongoDB. Knowledge of code versioning tools such as Git. Experience with cloud platforms (AWS, Azure, Google Cloud). Familiarity with containerization and orchestration technologies like Docker and Kubernetes. Experience with system and UX design tools (Figma, PlantUML). Experience with API design tools (OpenAPI, Swagger). Experience with Agile processes. Teamwork skills. Self directed and proactive Can translate vaguely defined ideas into demonstrable deliverables Quick to find and learn new technologies as needed An analytical mind and problem-solving aptitude. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Love for clean design, user experience and keeping things simple. Passionate about users and feedback. Desirable Skills: Understanding of CI/CD pipelines. Experience with AI technology (LLMs, Deep Learning). Experience in financial services. Experience developing and publishing the front and back end of a mobile application Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

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2.0 - 4.0 years

8 - 13 Lacs

Hyderabad

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Job Title: Junior Data Science Engineer AI/ML Experience Level: 1 to 2 years About the Role: We're looking for sharp, curious, and motivated junior data science engineers to join our innovation-driven team. In this role, you'll work alongside experienced engineers, data scientists, and product teams to prototype cutting-edge solutions involving AI agents, large language models (LLMs), and unsupervised learning techniques. You'll be exposed to end-to-end solution building from hypothesis to prototype to pilot in a collaborative, fast-paced environment where ideas move quickly from whiteboard to working system. What You’ll Do: Prototype AI agents using LLMs (e.g., OpenAI, Claude, Mistral, etc.) Explore and apply clustering and unsupervised learning methods (e.g., k-means, DBSCAN, topic modeling, dimensionality reduction) Develop proof-of-concept solutions and experiment with ideas across different domains Collaborate with cross-functional teams including ML engineers, product managers, and senior data scientists Analyze structured and unstructured data from various sources (APIs, databases, logs, documents, etc.) Continuously learn, test, and apply new advancements in the AI/ML space What We’re Looking For: Strong foundation in statistics, probability, and machine learning Solid understanding of unsupervised learning algorithms and their use cases Hands-on experience with clustering, anomaly detection, or dimensionality reduction Basic familiarity with LLMs and prompt engineering Proficiency in Python and libraries such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow Familiarity with building prototypes using Jupyter, Streamlit, or similar Growth mindset and a passion for experimentation and rapid learning Nice to Have: Exposure to AI agent frameworks (LangChain, AutoGen, CrewAI, etc.) Experience with API design or integration Familiarity with cloud platforms (AWS/GCP/Azure) Background in NLP, graph analysis, or time-series clustering

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0.0 - 1.0 years

0 Lacs

Pune

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Job Description At Rolls-Royce, we look beyond tomorrow. We continually pioneer integrated power and propulsion solutions to deliver cleaner, safer and more competitive power. Rolls-Royce Power Systems is headquartered in Friedrichshafen in southern Germany and employs around 9,000 people. The product portfolio includes MTU-brand high-speed engines and propulsion systems for ships, power generation, heavy land, rail and defense vehicles and for the oil and gas industry as well as diesel and gas systems and battery containers for mission critical, standby and continuous power, combined generation of heat and power, and micro grids. Experienced and highly motivated Project Manager to oversee the Supply, Installation, Testing & commissioning of diesel / Gas generators. The Project Manager will be responsible for ensuring the successful planning, execution, and completion of generator installation projects, ensuring adherence to budget, timeline, quality, and safety standards. The role requires coordination with multiple stakeholders, including internal teams, contractors, vendors, and clients to ensure that the power infrastructure is installed and commissioned efficiently to meet operational requirements. Work with us and we ll welcome you into an inclusive culture, one that invests in your continuous learning and development, and gives you access to a wide breadth and depth of experience. Internship Program - Key opportunities and responsibilities Work side-by-side with industry experts and support the advancement of emerging technologies that shape future of TYI Mechanical Integrity & Component Designing. Gain real world experience, work hands on and be involved in day-to-day operations. Experience problem solving in real work setting. Ideal Candidate/Qualification Preferred candidate who is pursuing Master s in computer science / IT, Bachelor s candidate can be an option but after personal interview Problem solving Skills and able to interpret the requirement in code using python Good understanding about Artificial Neural Network architectures, machine learning techniques using time series and its applications. OR should have done some courses on Deep learning techniques. Curious and motivated to explore the topic or given task in depth.

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20.0 - 30.0 years

22 - 32 Lacs

Nagpur

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Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

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0.0 - 5.0 years

8 - 14 Lacs

Patna

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Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

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0.0 - 5.0 years

8 - 14 Lacs

Visakhapatnam

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Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

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1.0 - 3.0 years

4 - 5 Lacs

Noida

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Build & deploy real-time ML/AI models, analyze data, prototype features, and integrate AI via OpenAI/Gemini APIs. Req: Python, Java, TF, AWS, NLP, pipelines, comms. Bonus: MLOps, LLMs, certs. Bachelors+ in CS/Data Science preferred. Accessible workspace

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4.0 - 5.0 years

20 - 30 Lacs

Bengaluru

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What You'll Do: You will work directly as part of AA CoE and be a part of analytics focused projects across statistics, optimization & simulations, machine learning and Big Data. Your role will involve design and implementation of advanced statistical analysis and machine learning algorithms to derive business insights and solve complex business problems. This includes gathering and analyzing information, formulating and testing hypotheses, and developing and communicating recommendations. You may also be responsible for presenting results to management and implementing recommendations with team members. Youll have the opportunity to gain new skills and build on the strengths you bring to the company. Main task: • Design and implement machine-learning models to support the businesss numerous initiatives and programs with a view of achieving overall objectives and targets • Successful documentation of reusable code • Achieve personal technical development and learning goals • Conduct knowledge sharing sessions internally within the CoE as well as externally in meetups, conferences etc. Participate in and help plan cultural initiatives for CoE Qualifications • University degree in Computer Science, Engineering, Applied Mathematics or related fields and excellent academic record required; Master’s degree in above mentioned subjects preferred • 2-3 years of technical experience in handling large datasets and applying advanced statistical and machine learning algorithms • Hand-on experience in methodologies such as: Supervised and Unsupervised Learning, Feature Engineering, Bayesian Statistics, Frequentist Statistics, Optimization, Time Series, Graph/Network Theory, Reinforcement Learning, Deep Learning, Computer Vision, NLP, Interpretable AI, etc. • Proficiency with at least one of the following languages: R, Python, SAS and experience of working with SQL/NoSQL databases • Experience of working on platforms such as GCP, Dataiku, AWS, Azure, etc. • Stakeholder management skills with ability to communicate and work with senior management effectively • Skills to communicate complex ideas effectively Interested candidates can send their resume on a mail - Resumesktk@muthootgroup.com

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3.0 - 7.0 years

10 - 13 Lacs

Gurugram

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Job Description : - At least 2 years of experience in computer vision and or deep learning for object detection. - Proficiency in Python and related packages like numpy, scikit-image, PIL, opencv, matplotlib, seaborn, etc. and frameworks like Django or Flask. - Experience with OCR and NLP would be an added advantage. - Experience with any machine deep learning frameworks like Tensorflow, Keras, Scikit-Learn and PyTorch. - Experience in training models through GPU computing. - Ability to transform research articles into the working solutions to solve real-world problems. Strong experience in using both basic and advanced image processing algorithms for feature engineering Requirement : - Proven experience as a Data Scientist - Understanding of machine-learning - Experience using business intelligence tools - Analytical mind and business acumen - Strong math skills (e.g. statistics, algebra) - Problem-solving aptitude - Excellent communication and presentation skills - BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

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0.0 - 5.0 years

8 - 14 Lacs

Varanasi

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Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

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20.0 - 30.0 years

22 - 32 Lacs

Coimbatore

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Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

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