1410 Deep Learning Jobs - Page 12

We aspire to be world-leader in innovative telecom and security solutions by offering cutting-edge, high-performance telecom and security solutions to business customers. Our Mission is simple. To prove that Indian engineers can design, develop, and manufacture world-class technology products for customers across the world, right from India. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! Why work at Matrix Matrix fully integrates software and hardware across its products. Engineers here collaborate more effectively to create solutions that solve real problems and make an impact. We are responsible for every nut, bolt, and line of code in our products! As an engineer, your involvement will be critical in the entire lifecycle of a product - right from ideation-development-production-deployment. Get to feel the sense of accomplishment that comes with creating something that solves a real and pressing problem and is used by scores of customers. Role Computer Vision Engineer/Sr. Engineer- (IVA/AI) Function Software Development - IVA / Computer Vision Work Location Vadodara, Gujarat Who are you You are a dynamic and solution driven Software Engineer specializing in Intelligent Video Analytics, with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. Experience 2+ Years Qualification B.E/B.tech/M.E/ M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE)or related field Technical Skills Required : Good experience of Deep Learning/Computer Vision projects. Working exposure with Neural networks, CNN i.e. Convolutional Neural Network (Design, Training, Inference). Experience building and optimizing libraries for fast computer vision Experience curating data, creating and optimizing models, and running experiments Expert knowledge of the principles, algorithms, and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc. Experience with one or more deep learning frameworks such as Tensorflow, PyTorch or Keras Experience porting and optimizing models and algorithms for different hardware platforms Superhuman thirst for learning including scouting for ideas and keeping up-to-date with advancements in the field Good to have skills : Good to have programming skills using Python and C++ Any exposure to projects like Object Detection/Motion Detection/Face Recognition is good to have. Experience working with multiple video streams for simultaneous integration into machine learning algorithms Experience optimizing deep learning models for embedded form factors. How your day might look like The Engineer- Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. This team partners with our hardware, software, and platforms teams to help bring our products and solutions to life. An ideal candidate for this role will lead in the creation of systems, algorithms, and optimizations for all things computer vision This includes leading and mentoring a team of engineers who help with different aspects of the task. Collaborate with the team to understand project requirements and objectives. Design and implement algorithms using C/C++, OpenCV, and TensorFlow. Integrate video analytics solutions with existing systems or platforms. Participate in design reviews and brainstorming sessions with cross-functional teams. Execute AI algorithms using various platform specific frameworks like TensorRT, TensorFlow Lite etc. Formulate program specifications and basic prototypes. Efficiently Develop PoC on Algorithms Performance Centric implementation practices. Implement low cost algorithm modules as per need. Troubleshoot issues and provide technical support during integration and deployment phases. Research new technologies and methodologies to enhance video analytics capabilities. Document your work, including writing code documentation or preparing technical reports. What we offer Opportunity to work for an Indian Tech Company creating incredible products for the world, right from India Be part of a challenging, encouraging, and rewarding environment to do the best work of your life Competitive salary and other benefits Generous leave schedule of 21 days in addition to 9 public holidays, including holiday adjustments to convert weekends into long weekends 5-day workweek with 8 flexi-days months, allowing you to take care of responsibilities at home and work Company-paid Medical Insurance for the whole family (Employee+Spouse+Kids+Parents). Company paid Accident Insurance for the Employee On-premise meals, subsidized by the company If you are an Innovative Tech-savvy individual, Look no further. Click on Apply and we will reach out to you soon!

About the Role: Grade Level (for internal use): 12 Lead Agentic AI Developer LocationGurgaon, Hyderabad and Bangalore : A Lead Agentic AI Developer will drive the design, development, and deployment of autonomous AI systems that enable intelligent, self-directed decision-making. Their day-to-day operations focus on advancing AI capabilities, leading teams, and ensuring ethical, scalable implementations. Responsibilities AI System Design and Development Architect and build autonomous AI systems that integrate with enterprise workflows, cloud platforms, and LLM frameworks. Develop APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making. Team Leadership and Mentorship Lead cross-functional teams of AI engineers, data scientists, and developers. Mentor junior staff in agentic AI principles, reinforcement learning, and ethical AI governance. Customization and Advancement Optimize autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation). Fine-tune LLMs, multi-agent frameworks, and feedback loops to align with business goals. Ethical AI Governance Monitor AI behavior, audit decision-making processes, and implement safeguards to ensure transparency, fairness, and compliance with regulatory standards. Innovation and Research Spearhead R&D initiatives to advance agentic AI capabilities. Experiment with emerging frameworks (e.g.,Autogen, AutoGPT, LangChain), neuro-symbolic architectures, and self-improving AI systems. Documentation and Thought Leadership Publish technical white papers, case studies, and best practices for autonomous AI. Share insights at conferences and contribute to open-source AI communities. System Validation Oversee rigorous testing of AI agents, including stress testing, adversarial scenario simulations, and bias mitigation. Validate alignment with ethical and performance benchmarks. Stakeholder Leadership Collaborate with executives, product teams, and compliance officers to align AI initiatives with strategic objectives. Advocate for AI-driven innovation across the organization. What Were Looking For : REQUIRED S/QUALIFICATIONS Technical Expertise : 8+ years as a Senior AI Engineer , ML Architect , or AI Solutions Lead , with 5+ years focused on autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Expertise in Python (mandatory) and familiarity with Node.js . Hands-on experience with autonomous AI tools LangChain, Autogen, CrewAI, or custom agentic frameworks. Proficiency in cloud platforms AWS SageMaker (most preferred), Azure ML, or Google Cloud Vertex AI. Experience with MLOps pipelines (e.g., Kubeflow, MLflow) and scalable deployment of AI agents. Leadership Proven track record of leading AI/ML teams, managing complex projects, and mentoring technical staff. Ethical AI Familiarity with AI governance frameworks (e.g., EU AI Act, NIST AI RMF) and bias mitigation techniques. Communication Exceptional ability to translate technical AI concepts for non-technical stakeholders. Nice to have : Contributions to AI research (published papers, patents) or open-source AI projects (e.g., TensorFlow Agents, AutoGen). Experience with DevOps/MLOps toolsKubeflow, MLflow, Docker, or Terraform. Expertise in NLP, computer vision, or graph-based AI systems. Familiarity with quantum computing or neuromorphic architectures for AI. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

Date 11 Jun 2025 Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your data science expertise in a cutting-edge field. Youll work alongside innovative and collaborative teammates. You'll play a key role in shaping Alstoms next-generation data-driven solutions for the mobility industry. Day-to-day, youll work closely with teams across the business (engineering experts, data engineers, DevOps/MLOps engineers, and HMI designers), develop machine learning models, and contribute to the development of proof-of-concept applications in maintenance, operations, energy, and city flow domains. Youll specifically take care of extracting key insights from mobility data using advanced tools and techniques, but also contribute to building AI/ML software modules to enhance customer performance and experience. Well look to you for: Designing and developing data-driven solutions, integrating engineering aspects and evaluating financial impacts Implementing feature selection/extraction methods to improve ML models and derive interpretable insights Building and optimizing machine learning models, including supervised and unsupervised approaches Assessing and enhancing the quality of incoming data and model outputs using appropriate evaluation metrics Collaborating with domain experts to define and meet business requirements Creating reports and explanatory materials to communicate insights effectively Evaluating opportunities from emerging mathematical approaches and data science technologies Applying strong testing and quality assurance practices All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Degree in computer science or engineering, supplemented by training in data science/ML or related disciplines Excellent knowledge of Python programming Understanding of modern statistics, including time-series and signal processing, text mining, or image processing Experience with Python data science stack (e.g., pandas, scikit-learn, keras, numpy, tensorflow) Strong knowledge of artificial intelligence and machine learning algorithms (e.g., classification, regression, dimensionality reduction, neural networks, deep learning) Experience in building and optimizing supervised and unsupervised ML models Experience with database management (SQL, ElasticSearch, etc.) Proficiency in a LINUX environment (shell scripting) [OptionalExperience in PHM, predictive maintenance, traffic modelling, NLP, video analytics, or sequence mining] [OptionalFamiliarity with Git and release management] Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges and a long-term career free from boring daily routines Work with cutting-edge technologies to revolutionize digital mobility Collaborate with cross-functional teams and supportive colleagues Contribute to innovative projects in the mobility domain Utilise our flexible and inclusive working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning programs Progress towards leadership or technical expert roles Benefit from a fair and dynamic reward package that recognizes your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Date 10 Jun 2025 Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your deep learning and AI expertise in a new cutting-edge field. Youll work alongside innovative, analytical, and collaborative teammates. You'll spearhead the development and deployment of advanced generative AI models, impacting the way we approach transport solutions. Day-to-day, youll work closely with teams across the business (data scientists, software engineers, project managers), architecting scalable machine learning solutions and much more. Youll specifically take care of leading research initiatives, optimizing AI model efficiency but also fostering a culture of continuous improvement and innovation. Well look to you for: 7-10 years of experience in machine learning, deep learning. Experience End-to-end architecture design for machine learning solutions Deployment of AI models into scalable services Staying at the forefront of generative AI advancements Optimizing models for performance and scalability Collaborating with cross-functional teams for successful project delivery All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Degree in Computer Science, Information Technology, Electrical Engineering, or related field Experience or understanding of machine learning, deep learning, generative AIand MLOps Knowledge of deep learning techniques and frameworks (TensorFlow, PyTorch) Familiarity with cloud platforms, preferably Microsoft Azure A certification in AI or machine learning is advantageous Strong analytical and problem-solving skills Excellent communication and team collaboration abilities Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges and a long-term career free from boring daily routines Work with new security standards for rail signalling Collaborate with transverse teams and helpful colleagues Contribute to innovative projects Utilise our flexible working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning Progress towards leadership and advanced technical roles Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Amlgo Labs is Hiring | 2 Exciting Roles Available! Location: Gurugram (Hybrid) | Job Type: Full-Time Company Website: https://amlgolabs.com/ Position 1: Junior AI Engineer (Fresher LLMs & Generative AI Focus) Experience: 01 Year | Department: Artificial Intelligence / R&D About the Role: Join our cutting-edge AI team working on Large Language Models (LLMs), Generative AI, and automation solutions. Ideal for recent graduates passionate about machine learning, natural language processing, and prompt engineering. Key Responsibilities: Work with LLMs (e.g., OpenAI, Hugging Face) for development, fine-tuning, and integration Design effective prompts to optimize model performance Assist in deploying generative AI applications (text/code/image) Build Python-based AI/ML pipelines and evaluate models Collaborate with data teams for dataset management and preprocessing Monitor model behavior in production environments Document experiments, results, and technical workflows Required Qualifications: Bachelors in CS, Engineering, Data Science, or related field 01 year experience in AI/ML or relevant project work Proficiency in Python and libraries (NumPy, pandas, scikit-learn, matplotlib) Basic ML understanding and exposure to LLMs (GPT, LLaMA, etc.) Familiarity with Hugging Face, OpenAI API is a plus Awareness of ETL/data engineering practices Position 2: Full Stack Developer Experience: 0-1 Year | Department: Software Development About the Role: We are seeking a driven Full Stack Developer to build robust, scalable, and user-friendly web applications. You will work on both frontend and backend development, ensuring seamless performance from code to deployment. Key Responsibilities: Develop dynamic UIs using React.js, Next.js, TypeScript, Tailwind CSS, HTML/CSS Create backend services and RESTful APIs with Node.js and Python Work with MongoDB for NoSQL database management Manage deployments using Docker, VPS, Linux, and Nginx Collaborate cross-functionally to build high-quality solutions Conduct code reviews and continuously improve development practices Debug across various environments and optimize application performance Required Skills: Solid knowledge of JavaScript and TypeScript Experience in React.js, Next.js, Tailwind CSS, HTML, CSS Hands-on experience with Node.js and Python backend Familiarity with MongoDB and cloud/server deployments Understanding of RESTful API principles and modern dev tools Strong analytical and debugging skills About Us: Amlgo Labs is building the next generation of AI-driven solutions, with a focus on Large Language Models (LLMs), Generative AI, and intelligent automation. We're seeking curious and motivated individuals who want to work at the cutting edge of AI.

JOB DESCRIPTION COMPANY NAME- SHARD Center for innovation (UNDER THE AEGIS OF JALSA VENTURES) Profile- Trainer/Teacher for AI, ML, DRONE, ROBOTICS for Childrens Salary- 20k to 35k Exp- Min 2 yr. Job Mode- Full Time Job Timing- Full Time (11:00Am to 8:00Pm) Qualification- Graduate/ Postgraduate (With Technical Degree) Interview Mode- Virtual & F2F Roles & Responsibilities- Conducting classroom education (Theory and practical) in AI, ML, Robotics, Drone etc. Planning daily/weekly lessons. Adopting an objective criterion for measuring learner progress. Attending to age appropriate /individual student needs and refinement of knowledge delivery accordingly. Demonstrating various hands-on projects for the students. To carry out Any other activities related to the above as and when decided by the management. Requirements and skills- Bachelor's degree (Technical) preferably related to the subjects above. Practical Knowledge of these subjects and experience in imparting lessons in these subjects. Good written and verbal communication skills. Previous experience of conducting these subjects would be advantageous. Thanks & Regards HR & Admin Astha Singh Contact No-7428101729

JOB DESCRIPTION COMPANY NAME- SHARD Center for innovation (UNDER THE AEGIS OF JALSA VENTURES) Profile- Trainer/Teacher for AI, ML, DRONE, ROBOTICS for Childrens Salary- 20k to 35k Exp- Min 2 yr. Job Mode- Full Time Job Timing- Full Time (11:00Am to 8:00Pm) Qualification- Graduate/ Postgraduate (With Technical Degree) Interview Mode- Virtual & F2F Roles & Responsibilities- Conducting classroom education (Theory and practical) in AI, ML, Robotics, Drone etc. Planning daily/weekly lessons. Adopting an objective criterion for measuring learner progress. Attending to age appropriate /individual student needs and refinement of knowledge delivery accordingly. Demonstrating various hands-on projects for the students. To carry out Any other activities related to the above as and when decided by the management. Requirements and skills- Bachelor's degree (Technical) preferably related to the subjects above. Practical Knowledge of these subjects and experience in imparting lessons in these subjects. Good written and verbal communication skills. Previous experience of conducting these subjects would be advantageous. Thanks & Regards HR & Admin Astha Singh Contact No-7428101729

Position - Lead Machine Learning Engineer- MLOps, VertexAI, LLMs, GenAI, ML Model Management Role Overview UPS Data Science and Machine Learning team is seeking a highly skilled and experienced Lead Machine Learning Engineer to manage our AI, ML, GenAI application focused on Cross Border logistics. This position leverages continuous integration and deployment of the best practices, including test automation and monitoring, to ensure successful deployment of optimal ML models and analytical systems. You will be responsible for the end-to-end lifecycle of AI models, from experimentation and fine-tuning to deployment and management in production. A strong background in prompt engineering and practical experience with either Google Cloud's Vertex AI platform is essential for this role. You will also provide technical leadership and mentorship to other members of the AI/ML team. Key Responsibilities Lead the development and deployment of generative AI solutions utilizing LLMs, SLMs, and FMs for various applications (e.g., content generation, chatbots, summarization, code generation, etc.). Architect and implement robust and scalable infrastructure for training, fine-tuning, and serving large-scale AI models, leveraging either Vertex AI. Drive the fine-tuning and adaptation of pre-trained models using proprietary data to achieve state-of-the-art performance on specific tasks. Develop and implement effective prompt engineering strategies to elicit desired outputs and control the behavior of generative models. Manage the lifecycle of deployed models , production support, including monitoring performance, identifying areas for improvement, and implementing necessary updates or retraining. Collaborate closely with cross-functional teams (e.g., product, engineering, research) to understand business requirements and translate them into technical solutions. Provide technical leadership and mentorship to junior machine learning engineers, fostering a culture of learning and innovation. Ensure the responsible and ethical development and deployment of AI models , considering factors such as bias, fairness, and privacy. Stay up to date with latest advancements in generative AI, LLMs, and related technologies, and evaluate their potential application within the company. Document technical designs, implementation details, and deployment processes. Troubleshoot and resolve issues related to model performance and deployment. Required Skills and Experience: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Minimum of 5-8 years of hands-on experience in building, deploying, and managing machine learning models in a production environment. Demonstrable experience in managing, deploying, and fine-tuning large language models (LLMs), small language models (SLMs), and foundation models (FMs). Significant hands-on experience with prompt engineering techniques for various generative AI tasks. Proven experience working with either Google Cloud's Vertex AI platform platform . including experience with their respective model registries, deployment tools, and MLOps features. Strong programming skills in Python and experience with relevant machine learning libraries (e.g., TensorFlow, PyTorch, Transformers). Experience with cloud computing platforms (beyond Vertex AI is a plus, e.g. Azure). Solid understanding of machine learning principles, deep learning architectures, and evaluation metrics. Excellent problem-solving, analytical, and communication skills. Ability to work independently and as part of a collaborative team. Experience with MLOps practices and tools for continuous integration and continuous delivery (CI/CD) of ML models is highly desirable. Experience with version control systems (e.g., Git). Bonus Points: Experience with model governance frameworks and implementing ethical AI practices. Experience with specific generative AI use cases relevant to Logistics industry. Publications or contributions to open-source projects, technical blogs, or industry conferences are considered a plus Familiarity with data engineering pipelines and tools. Familiarity with emerging trends in generative AI, reinforcement learning from human feedback (RLHF), and federated learning approaches.

JOB SUMMARY This position leads and advocates various data science teams on best practices around the development and implementation of advance analytic systems and predictive and prescriptive models. This position works with a team of data scientists, data analysts, data engineers, machine learning engineers, business and data domain owners, application developers, and architects in the creation and delivery of insights from large and disparate data to empower confidence in business decisions. This position leads the evaluation and adoption of emerging technologies that support the use of statistical modeling, machine learning, distributed computing, and run time performance tuning with the goal of deploying optimal processes and introducing new products and services to the market. This position supports senior leadership by planning and championing the execution of broad advanced analytics initiatives aimed at delivering value to internal and external stakeholders. This position may manage people within the department. RESPONSIBILITIES Leads and oversees the data analysts, data scientist team, machine learning engineers, and big data specialists in the implementation of models and systems that provide optimal results as well as scale and evolve the solutions to meet future business needs. Acts as subject matter expert on UPS business processes, data, and advanced analytics capabilities to scope problems, data and model requirements, and proven predictive and prescriptive techniques. Maintains broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to define strategies that support the creation, development and delivery of analytic solutions that meet business needs. Develops and prototypes algorithms to ensure analytic results satisfy problem statements and business needs. Interprets and analyzes large scale datasets to discover insights to support the build of analytic systems and predictive models as well as experiment with new and emerging models and techniques. Identifies and evaluates emerging/cutting edge open source, data science/machine learning libraries, data platforms, and vendor solutions to support the conception, planning, and prioritization of data projects across the enterprise. Provides thought leadership, technical guidance, and counsel for data science project teams to evaluate strategic alternatives, determine impact, recommend courses of action, and design and implement solutions. Champions best practices for adoption of Cloud-AI technologies, opensource software, machine learning libraries/packages, and data science platforms to derive useful information and insights that empower business decisions. Communicates with business customers and senior leadership team with various levels of technical knowledge, educates them about our systems, and shares insights and recommendations that can inform business strategies. Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. QUALIFICATIONS Requirements: Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Multiple years of experience working with large-scale, complex datasets to create machine learning, predictive, forecasting, and/or optimization models. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Expertise in data management pipelines involving data extraction, analysis and transformation using either data querying languages (e.g. SQL, NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS) Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms. Proven ability to convey rigorous technical concepts and considerations to non-experts, and strong analytical skills, attention to detail. Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (e.g. Supervised, Unsupervised, Deep Learning, NLP) Excellent verbal and written communication skills with the ability to communicate data through a story framework and convey data-driven results to technical and non-technical audiences, and effectively advocate technical solutions to research scientists, engineering teams as well as business audiences. Masters Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.

As a AI Developer specializing in Chatbots, you will be instrumental in designing, building, and deploying sophisticated conversational AI solutions. You will work across the entire AI lifecycle, from research and prototyping to production deployment and MLOps, with a particular focus on leveraging LLMs, RAG techniques, and agentic workflows to create intelligent and highly performant chatbots. Your expertise will directly contribute to enhancing customer interactions, automating processes, and delivering innovative AI-driven experiences. Key Responsibilities: Lead the design, development, and deployment of end-to-end AI solutions, with a significant emphasis on advanced chatbot systems, using LLMs (e.g., Llama-3, OpenAI, Gemini), LangChain, and LangGraph. Architect and implement sophisticated agentic AI workflows to enable multi-step reasoning, tool utilization, and autonomous task execution for complex business processes within chatbot applications. Develop and optimize scalable Retrieval-Augmented Generation (RAG) pipelines for real-time, context-rich information retrieval in conversational AI, utilizing vector databases like FAISS, Weaviate, and Pinecone. Build and containerize robust backend services for AI applications and chatbots using frameworks like FastAPI and Docker, ensuring seamless deployment on cloud platforms (AWS/GCP) through CI/CD pipelines. Integrate and manage comprehensive MLOps workflows for model versioning, performance monitoring, automated retraining, and continuous integration/continuous deployment (CI/CD) specifically for chatbot models (e.g., using MLflow, Airflow, Kubeflow). Fine-tune and optimize pre-trained LLMs and deep learning models (e.g., BERT, LSTM) for domain-specific text generation, sentiment analysis, text classification, Named Entity Recognition (NER), and contextual intent detection in chatbot contexts. Collaborate with cross-functional teams (product managers, UI/UX designers, data engineers) to translate business requirements into technical specifications for AI-driven features and chatbot functionalities. Stay abreast of the latest advancements in AI, NLP, LLMs, and conversational AI, continuously evaluating and implementing new technologies to improve our solutions. Mentor junior developers and contribute to best practices in AI development and MLOps. Perks and benefits: PF Insurance Contact Details: Deepanshi Jain (HR): 9717632996

Key Responsibilities: 10+ years - Architect to design scalable, production-grade AI/ML systems and data pipelines. Collaborate with stakeholders to identify and scope use cases for machine learning, deep learning, NLP, and computer vision. Lead the selection and implementation of AI/ML frameworks, platforms, and tools (e.g., TensorFlow, PyTorch, Scikit-learn). Guide teams in model development, training, evaluation, deployment, and monitoring in production environments. Define MLOps strategy for CI/CD, model versioning, retraining, and governance. Ensure solutions are optimized for performance, scalability, security, and compliance. Work closely with data engineers to ensure robust data pipelines, feature stores, and data quality standards. Serve as an AI thought leader within the organization, mentoring engineers and promoting best practices. Evaluate new AI technologies and platforms to drive innovation and maintain competitive advantage. Contribute to documentation, standards, and architecture governance.

Understand business objectives and translate them into data and machine learning requirements Identify what data is needed to support specific AI use cases and assess its availability, quality and structure Explore and profile data from various sources to evaluate its suitability and uncover biases, gaps or integration challenges Visualising data and analytical results using tools such as Power BI, with the ability to create insightful dashboards for both technical and non-technical audiences. Collaborate with data owners and engineers to locate, access and prepare data for experimentation and model development Work closely with product teams to define success metrics and ensure data can support reliable measurement and evaluation Support the design of data flows and contribute to ingestion and preparation strategies that align with modelling needs Translate insights from data exploration and model experimentation into clear actionable recommendations Contribute to best practices related to data validation, model documentation and governance of analytical workflows Collaborate with ML engineers and AI architects to assess modelling options and design evaluation strategies Stay up to date with developments in AI and machine learning and actively share insights with the wider team Qualification Your starting point for constant growth From the moment you join Ramboll, we will support your personal and professional development so that you grow with the company. For this role, we believe your starting point is: A master’s degree in data science, computer science, statistics, applied mathematics or a related field Strong experience in applied data science or machine learning, with an emphasis on data readiness and problem framing Proficiency in Python and experience with common data science libraries (e.g., pandas, scikit-learn, TensorFlow or PyTorch) Demonstrated ability to explore, profile and assess complex data sets to determine their value for ML solutions Experience working with business stakeholders to translate objectives into data needs and analytic plans Understanding of how data flows from source systems into models, and experience partnering with data engineers to build effective pipelines Excellent communication skills, with the ability to explain and visualize data-related concepts to non-technical audiences Fluency in English Additional Information We offer: Competitive salary and benefits package. Opportunities for professional growth and development. Flexible work environment and work-life balance. A multi-cultural work environment Personal qualities that will help you succeed in this role include: Ability to collect and analyse data, establish facts and make recommendations in written and verbal form. Ability to explain and translate complex, technical IT requirements into material understandable for non-IT staff. Ability to liaise with all parts of an organisation, including IT and business stakeholders. Open-minded and helpful and, finally, a good portion of self-awareness and humour.

Total Experience 0-2 years Education: Bachelors degree in computer science, Data Science, or related field, or equivalent practical experience Location Hyderabad/Bangalore/Pune, India Primary Skills: AI & Machine Learning: Basic understanding of AI concepts and machine learning fundamentals, Familiarity with Large Language Models (LLMs) and Prompt engineering concepts, Interest in AI Agents, and frameworks like LangChain or Crew AI, Basic knowledge of Python ML libraries (e.g., scikit-learn, NumPy, Pandas) Programming: Working knowledge of Python for AI/ML implementation Version Control: Git, GitHub workflow Cloud: Basic understanding of cloud concepts for AI/ML workloads (GCP/AWS or Azure) Frameworks: Knowledge of at least one backend framework (Django, Flask, FastAPI) Data Handling: Basic experience with data processing and analysis Key Responsibilities: Assist in developing and maintaining AI components under the guidance of senior engineers Help implement LLM-based features and basic AI Agents using established frameworks. Learn about prompt engineering and LLM fine-tuning techniques. Support data preparation, cleaning, and preprocessing for AI models. Assist with model testing, evaluation, and basic performance analysis. Document AI implementation details and contribute to technical documentation. Participate in code reviews to improve code quality and learn from feedback. Help troubleshoot issues in AI pipelines and implementations. Collaborate with cross-functional teams to understand AI implementation requirements. Stay up to date with emerging AI technologies and methodologies. Qualifications: Basic understanding of machine learning concepts and AI fundamentals Working knowledge of Python programming and data manipulation libraries Familiarity with or strong interest in Large Language Models and generative AI Understanding of software development practices and version control systems Knowledge of basic data structures and algorithms Strong problem-solving skills and analytical thinking Eagerness to learn new AI technologies and approaches. Good communication skills and ability to work in a team environment. Ability to understand and implement guidance from senior AI engineers Experience with any AI/ML projects (academic, personal, or internship) is an added advantage. Degree in Computer Science, Data Science In addition to this, we would also like to hire one mid-level engineer. I have attached the JD for your reference.

Job Description: AI Engineering Manager / AI Project Manager Position Overview: We are seeking an experienced AI Engineering Manager to lead our AI projects and drive innovation in deep learning applications. The ideal candidate will have a strong background in the latest deep learning architectures, including Convolutional Neural Networks (CNNs) and Transformers, and possess project management experience in overseeing AI initiatives. Key Responsibilities: Lead the design, development, and deployment of AI solutions, ensuring alignment with organisational goals. Manage AI projects from inception to completion, coordinating cross- functional teams and resources effectively. Oversee the implementation of deep learning algorithms for various applications, particularly in medical image analysis. Mentor and guide team members, fostering a collaborative and innovative work environment. Ensure high-quality code development in Python, C, or C++, with a strong understanding of object-oriented programming concepts. Qualifications: Proven experience in managing AI projects and teams. Strong knowledge of deep learning architectures such as CNNs and Transformers. Prior experience in the medical image analysis field is preferred. Proficiency in programming languages including Python, C, and C++. Experience in people management and team leadership. Preferred Skills: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch). Excellent communication skills and the ability to work collaboratively across teams. Candidates with publications in conferences such as ICCV, ICPR, ICIP, ISBI, MICCAI, MIDL, NeurIPS, and CVPR are preferred.

Designation - Sr. Consultant Experience in any two of the following programming languages: Python, Java, R, or .Net Proficiency in at least one database technology such as SQL, MongoDB, etc. Hands-on experience with AI stacks, including: PyTorch, TensorFlow, NVIDIA NeMo/NIM, Unsloth Agentic AI frameworks like LangGraph, MS AI Foundry Hugging Face, ChromaDB, FAISS, etc. Experience with MLOps and AI deployment infrastructure Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Knowledge of responsible AI practices, including bias mitigation and ethical AI usage

Role & Responsibilities: Smart maintenance using Databricks and large language models (LLMs) Deploying models (ML or LLM) outside Cognite and consuming them through Cognite API . Understanding of supervised and unsupervised learning algorithms (e.g., regression, classification, clustering) Building conversational agents using LLMs and ML workflows Techniques for model evaluation (e.g., cross-validation, A/B testing) Databricks integrate with Azure services such as Azure Data Lake and Azure Blob Storage . Using Azure, AWS, or Google Cloud for data storage, processing, and deployment. Integrate data from different sources. Preferred: Relevant experience 4+ years of experience in data science or a related field. Experience with deep learning and neural networks , particularly for LLMs. Expertise in natural language processing (NLP) techniques for text processing, sentiment analysis, and language generation. Experience working with models like GPT and BERT. Experience with JSON, REST APIs, and Data Modeling . Strong knowledge of Python, SQL, and Spark for data transformation and writing code in notebooks for data manipulation and analysis. Experience with ETL processes. Ability to integrate data from different sources.

Greetings from Futurea4! We are looking for a passionate and experienced Senior Data Scientist to drive innovation in the world of Gen AI, NLP, LLMs , and MLOps . Position : Senior Data Scientist Gen AI | NLP | LLM | MLOps Locations : Bangalore | Pune | Noida | Gurgaon | Hyderabad Experience : 6 to15 Years Joiners Preferred : Immediate or Short Notice Key Responsibilities Design and implement advanced NLP and Gen AI models using cutting-edge LLMs (e.g., GPT, LLaMA, Mistral). Fine-tune and customize LLMs through LoRA , PEFT , and prompt engineering techniques. Develop scalable ML pipelines and ensure smooth deployment via MLOps best practices. Translate business challenges into impactful AI-powered solutions . Monitor and improve model performance for accuracy and scalability. Create documentation and foster cross-functional knowledge sharing. Required Skills Strong hands-on experience in Generative AI , NLP , and LLM development (using frameworks like Hugging Face, spaCy, LangChain). Expert knowledge of Python , TensorFlow/PyTorch , and the ML lifecycle. Deep MLOps know-how: CI/CD, model monitoring, versioning, and deployment workflows. Cloud-native development experience (AWS, Azure, or GCP) and container tools ( Docker , Kubernetes ). Experience with large-scale data handling and data engineering principles. Nice to Have Familiarity with RAG pipelines , vector databases , and advanced prompt tuning. Exposure to multi-modal architectures , transformer models , and open-source LLMs . Publications or community involvement in AI research or development. Apply Today If you're eager to build the future of AI and ready to take on exciting challenges, we want to hear from you.

As a Field Engineer at Adagrad AI, you will have the opportunity to work on exciting and challenging projects that will provide you with valuable experience and career growth opportunities. The opportunity We are looking for Field Engineer, to join our Pune office, who are curious, self-motivated, and willing to learn. You will be exposed to a range of tasks and projects, including: Reporting directly to the deployment manager and handling all the hardware and deployment related tasks in the company On-site Support: Provide on-site support to customers or clients. This may involve diagnosing and troubleshooting issues with equipment or systems, providing technical guidance, and answering customer questions. Installation and Commissioning: Carrying out complete installation of hardware on deployment locations. Hardware will include cameras, controller unit and cabling and routing. This involves understanding installation procedures, configuring equipment, and ensuring that everything is working as expected. Once installation is complete, commission the equipment or system to ensure that it meets performance specifications. Maintenance and Repairs: Responsible for providing routine maintenance and repairs for equipment and systems. This includes identifying issues before they become critical, performing regular maintenance tasks, and making repairs as needed. Documentation and Reporting: Maintain accurate documentation of all activities performed on-site. This may include maintenance reports, installation reports, and other documentation as required. Customer Service: Must have excellent customer service skills. Often being the primary point of contact for customers, you must be able to communicate effectively, provide guidance, and manage customer expectations. Safety: You must be aware of and comply with all safety protocols and procedures. This includes wearing protective equipment, following safety guidelines, and identifying potential hazards. Must also be able to travel frequently, work in different locations and environments, and adapt to changing situations. You should have a strong technical background, excellent problem-solving skills, and the ability to work independently. Procuring hardware and ensuring that it has been assembled and configured as per predefined standards. Conducting research on new hardware and testing it. Conducting training for security guards and managers. Should operate in flexible work timings as per requirements. Skills and attributes for success A bachelors degree in engineering Minimum period of prior work experience of 6 months in Hardware / Networking Knowledge of Crimping, Routing and cabling Basic knowledge of networking and router configuration Knowledge of IP cameras and their configuration and testing Excellent problem-solving skills backed by solid technical knowledge. A versatile and service-oriented mindset. Good understanding of safety guidelines. Great communication skills. Technically savvy and computer literate. Strong multitasking abilities. Analytical and critical thinking skills. Ability to work under pressure and complete tasks in a timely manner. Valid driving license and possess personal bike helmet Ability to work independently and as part of a team

We are looking for an enthusiastic and driven Data Science - AI / ML Intern to join our team. This is a great opportunity for individuals who are passionate about applying data, algorithms, and machine learning to solve real-world problems. You will work on AI/ML research and development projects and collaborate with experienced professionals to grow your skills. Key Responsibilities: Assist in developing and testing machine learning models using Python and popular ML libraries Support AI/ML research, experiments, and proof of concept projects Perform data collection, cleaning, analysis, and visualization Apply statistical techniques and ML algorithms to solve business or research problems Document processes, models, and experiment results Work collaboratively with data scientists, engineers, and product teams Basic Requirements: Proficiency in Python and common ML libraries (eg, scikit-learn, pandas, NumPy) Basic understanding of statistics , machine learning algorithms , and data modeling Exposure to AI/ML projects (academic, personal, or internships) Familiarity with tools like TensorFlow , scikit-learn , or Azure ML Curiosity to explore new methods and use data to solve problems Strong communication and presentation skills Preferred Skills: Experience with Jupyter Notebooks , Google Colab , or cloud-based ML platforms Familiarity with deep learning frameworks (TensorFlow, Keras, PyTorch) Exposure to Azure Machine Learning , MLflow , or MLOps practices Understanding of data pipelines and basic SQL Why Join Us Opportunity to work on innovative AI/ML projects Learn from experienced data scientists and engineers Collaborative and growth-focused environment Potential for full-time employment based on performance

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

An AI Data Scientist at IBM is not just a job title - its a mindset. Youll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.)Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

Location: Pune Job Type: Full Time Experience: 5 to 10 years Company: Web Minds IT Solution Job Summary: We are seeking a highly skilled and experienced Senior Python Backend & Machine Learning Developer to play a pivotal role in designing, developing, and deploying robust backend services and integrating advanced machine learning capabilities into our products. The ideal candidate will possess a strong command of Python, a deep understanding of backend architecture, and practical experience in building, deploying, and maintaining machine learning models in production environments Key Responsibilities: Design, develop, and maintain highly scalable, reliable, and secure backend APIs and services using Python frameworks (e.g., Django, Flask, FastAPI). Work with various databases (SQL, NoSQL) to design efficient data models and ensure data integrity. Implement robust authentication, authorization, and security measures for backend services. Optimize applications for maximum speed and scalability, ensuring low latency and high throughput. Design, build, and maintain our containerization and orchestration solutions using Docker and Kubernetes. Implement and manage CI/CD pipelines to streamline software delivery. Develop and deploy RESTful APIs for machine learning models, enabling seamless integration with frontend and other backend systems. Build and maintain robust data pipelines (ETL/ELT) for ML model training, inference, and monitor system performance and troubleshoot issues to ensure high availability and reliability. Implement and manage MLOps practices, including model versioning, monitoring (for drift, performance), retraining pipelines, and deployment automation. Contribute to the selection and integration of appropriate ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) Stay updated with the latest trends and advancements in data science, ML, and AI Key Skills Required: Bachelor's degree in Computer Science, Information Technology, or a related field. Familiarity with Python-based frameworks like Flask , FastAPI , or Django Hands-on with deep learning frameworks such as TensorFlow , Keras , or PyTorch Understanding of machine learning algorithms , including regression, classification, clustering, and ensemble methods (e.g., Random Forest, XGBoost) Strong skills in SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB) Proficiency in data visualization tools : Matplotlib, Seaborn, Plotly, Power BI , or Tableau Extensive experience with Docker and Kubernetes . Experience working with APIs , web services, and application integration Solid understanding of CI/CD principles and tools. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud . Excellent problem-solving and troubleshooting skills. Practical experience with ML libraries: Scikit-learn , XGBoost , LightGBM , etc. Proficiency in data manipulation and analysis using NumPy , Pandas , and Matplotlib/Seaborn Strong communication and teamwork skills.

Internship Opportunity No-Code Automation Were looking for a proactive intern to help build and maintain automated workflows using no-code tools like n8n . Key Responsibilities: Build and optimize automation workflows Integrate tools using APIs and webhooks Troubleshoot and iterate workflows Maintain documentation and support knowledge sharing Who Should Apply: Familiar with no-code platforms (esp. n8n) Basic understanding of APIs & webhooks Strong problem-solving and learning attitude Can work independently Location Note: Candidates whose hometown is Siliguri but are currently based in other cities are encouraged to apply . Were open to relocation for the right fit and this is a great opportunity to move back home while gaining hands-on experience.

Skills Skill SDLC PL/SQL Solution Architecture Java Unix .NET SOA Microsoft SQL Server SQL ASP.NET Education Qualification No data available CERTIFICATION No data available Role Data Scientist Educational Qualification ME/BE / MCA Experience Required 4+ Years Shifts Day shift Skills & Responsibilities Experience4+ years in machine learning, deep learning, or generative AI. Programming & Frameworks Strong Python scripting with Pandas, NumPy, OOPs concepts. Experience with PyTorch, TensorFlow, Keras, Hugging Face Transformers. Proficiency in SQL queries when needed. Generative AI & NLP Experience with LLMs, GANs, VAEs, Diffusion Models. Familiarity with OpenAI GPT, DALLE, Stable Diffusion. Deep knowledge of NLP techniques & deep learning architectures (RNN, CNN, LSTM, GRU). Machine Learning & Statistics Understanding of ML/DL algorithms, statistical analysis, and feature engineering. Theoretical knowledge of Random Forest, SVM, Boosting, Bagging, Regression (Linear & Logistic), and Unsupervised Learning. MLOps & Deployment Familiarity with Cloud platforms (AWS, Azure, GCP). Experience in MLOps, CI/CD, Docker, Kubernetes. Comfortable with Linux systems and GPU-based deep learning. Research & Ethics Contributions to AI research, open-source projects, or Kaggle competitions. Awareness of AI ethics, bias mitigation, and model interpretability. Soft Skills & Work Environment Ability to work independently and deliver results. Experience in an agile development environment. Knowledge of computer vision is a plus.

Experience Experience : Fresher only , no prior industry experience required Academic/Internship/Project work in AI must be showcased Educational & Skill Requirements Bachelors degree in Computer Science, Information Technology, Data Science, AI/ML , or related field Strong foundational knowledge of Artificial Intelligence, Machine Learning , and Deep Learning Hands-on experience in at least one academic or personal project related to AI (e.g., image recognition, NLP chatbot, recommendation systems, etc.) Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV, or Hugging Face Exposure to data handling using Pandas, NumPy, etc. Knowledge of LangChain is required