1616 Deep Learning Jobs - Page 48

Data Scientist Job Description Job Title: Data Scientist Department: Data Science / Analytics / AI Location: Hyderabad (On-site) Employment Type: Full-time Job Summary We are seeking a highly skilled Data Scientist to analyze complex data, develop predictive models, and generate actionable insights to drive business decisions. The ideal candidate will have strong expertise in statistics, machine learning, and programming , along with the ability to communicate findings effectively to stakeholders. Key Responsibilities 1. Data Analysis & Exploration Collect, clean, and preprocess large datasets from multiple sources. Perform exploratory data analysis (EDA) to uncover trends, patterns, and anomalies. Apply statistical methods to interpret data and validate hypotheses. 2. Machine Learning & Predictive Modeling Design, train, and deploy machine learning models (supervised/unsupervised learning). Optimize model performance through feature engineering, hyperparameter tuning, and validation techniques. Implement algorithms for classification, regression, clustering, recommendation systems, etc. 3. Data Visualization & Reporting Create dashboards and visualizations using tools like Tableau, Power BI, or Matplotlib/Seaborn . Prepare reports and presentations to communicate insights to technical and non-technical stakeholders. 4. Big Data & Cloud Technologies Work with big data tools like Spark, Hadoop, or Databricks for scalable data processing. Deploy models on cloud platforms ( AWS, GCP, Azure ) using ML services like SageMaker, Vertex AI, or MLflow. 5. Collaboration & Business Impact Partner with cross-functional teams (engineering, product, marketing) to integrate data-driven solutions. Translate business problems into analytical frameworks and provide data-backed recommendations. 6. Continuous Learning & Innovation Stay updated with the latest advancements in AI/ML, NLP, deep learning, and generative AI. Experiment with new tools and techniques to improve data science workflows. Required Skills & Qualifications Technical Skills Programming: Python (NumPy, Pandas, Scikit-learn), R, SQL Machine Learning: Regression, Classification, Clustering, NLP, Deep Learning (TensorFlow/PyTorch) Data Tools: Jupyter Notebooks, Git, Docker, Apache Spark Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra) Cloud Platforms: AWS/GCP/Azure (S3, BigQuery, Redshift) Visualization: Tableau, Power BI, Matplotlib, Plotly Soft Skills Strong analytical and problem-solving abilities Excellent communication and storytelling with data Ability to work in a fast-paced, collaborative environment Education & Experience Bachelors/Masters/PhD in Computer Science, Statistics, Mathematics, or related field 6+ years of experience in data science, machine learning, or analytics roles Portfolio of projects (GitHub, Kaggle, research papers) is a plus Preferred Qualifications Experience with deep learning (CNN, RNN, Transformers) Knowledge of MLOps (model deployment, CI/CD pipelines) Familiarity with A/B testing and causal inference Background in NLP, LLMs (GPT, BERT), or generative AI

3-5 years of experience in company ofLabelling Data management & validation C++, python, pytorch, Tensorflow Hands on experience in C++, Python in development & validation. Professional SkillSW Domain Knowledge. Tool SkillPytorch & tensor flow Adaptability - Being able to adapt to changing environments and work processes What youll love about working here We recognize vendor by OEM Chennai as Capgemini employee. you will get an environment to maintain healthy work life balance. Have good experience in OEM experience. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Skills (competencies) C++

Key Responsibilities: Design, develop, and train deep learning models for structured and unstructured data. Fine-tune pre-trained large language models (e.g., LLaMA, Mistral, Falcon, GPT-based models) for custom use cases. Evaluate model performance using standard metrics and improve based on experimentation. Build and maintain scalable training pipelines and inference systems. Collaborate with product and research teams to convert business requirements into technical solutions. Perform data preprocessing, augmentation, and annotation where needed. Optimize model inference speed and resource efficiency (e.g., quantization, pruning). Keep up with the latest research in ML/DL and apply relevant techniques to real-world problems. Required Qualifications: B.Tech / M.Tech / MS in Computer Science, Electrical Engineering, or related field. 23 years of hands-on experience in machine learning and deep learning. Strong knowledge of Python and frameworks such as PyTorch or TensorFlow. Proven experience training deep neural networks from scratch or via transfer learning. Exposure to LLMs – fine-tuning, prompt engineering, or training smaller transformer models. Familiarity with deployment of models using FastAPI, Flask, or similar. Preferred Qualifications: Experience with Hugging Face Transformers, LangChain, or similar frameworks. Knowledge of distributed training and GPU acceleration. Understanding of vector databases and RAG (retrieval-augmented generation) systems. Basic understanding of MLOps tools like Docker, Kubernetes, and CI/CD for ML workflows. Familiarity with common NLP tasks: text classification, summarization, NER, etc. What We Offer: A fast-paced, collaborative, and intellectually challenging environment. Opportunity to work on cutting-edge AI products and infrastructure. Flexible work options and a strong focus on work-life balance. Competitive compensation and equity options (if applicable).

We are seeking an experienced AI Lead with a minimum of 10 years of industry experience in the field of Artificial Intelligence. The ideal candidate will have a proven track record of successfully leading and delivering multiple projects in Machine Learning, Deep Learning, and Natural Language Processing (NLP). Additionally, they should possess sound knowledge in Generative AI and Large Language Models (LLMs). Responsibilities: Project Leadership: Lead end-to-end AI projects, from conception to delivery, ensuring alignment with business objectives and stakeholder requirements. Technical Expertise: Serve as a subject matter expert in AI, providing guidance and support to the team in the development and implementation of advanced machine learning and deep learning models. Research and Development: Stay abreast of the latest advancements in AI technologies and methodologies, conducting research and experiments to drive innovation and enhance project outcomes. Team Management: Manage and mentor a team of junior data scientists and machine learning engineers, providing technical guidance, coaching, and professional development opportunities. Collaboration: Collaborate closely with cross-functional teams, including product management, engineering, and business development, to identify opportunities for leveraging AI to solve business challenges and drive growth. Quality Assurance: Ensure the quality and accuracy of AI solutions through rigorous testing, validation, and performance monitoring. Strategic Planning: Contribute to the development of AI strategies and roadmaps, outlining key initiatives and milestones to support business objectives. Qualifications: Bachelors degree in computer science, Engineering, Mathematics, or related field. Advanced degree (Master's or Ph.D.) preferred. Minimum of 10 years of industry experience in artificial intelligence, with a focus on machine learning, deep learning, and NLP. Proven track record of leading and delivering multiple AI projects from conception to completion. Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Expertise in MLOps tools, Databricks, and AI services offered by cloud platforms such as Azure, AWS, and GCP. Experience with Generative AI and Large Language Models (LLMs) such as GPT, BERT, or Transformer models. Excellent leadership and communication skills, with the ability to effectively manage and mentor a team of junior data scientists and ML engineers. Strong analytical and problem-solving skills, with a keen attention to detail and a commitment to delivering high-quality results. Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements. Location - Noida,Mumbai,Hyderabad,Kochi.

Salary : 15 to 30 LPA Exp: 3 to 6 years Location :Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and GEN AI Interact with the client to understand their requirements and communicate / brainstorm solutions. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Text classification using any of the following : decision trees, knn classification, support vector machines or LDA Exp on SQL would be a plus

Meet the Team We are seeking a highly skilled Staff Service Reliability Engineer to lead the deployment and optimization of Splunk for monitoring non-production, Engineering research and development equipment and workloads. This individual contributor role requires a strategic thinker with extensive experience in diverse IT environments and a comprehensive understanding of various hardware and operating systems, including testing equipment. Your Impact Splunk Deployment: Lead the deployment and ongoing management of Splunk to monitor non-production research and development resources in labs. Dashboard Optimization: Design and optimize dashboards to enhance data visualization and provide actionable insights. Data Feed Integration: Manage the integration of multiple data feeds into Splunk to ensure effective monitoring and analysis. AI Utilization: Leverage AI technologies to analyze alerting data, identify trends, and generate meaningful insights for operational improvements. Best Practice Implementation: Implement industry best practices in monitoring and observability to enhance system reliability and performance. Collaborative Engagement: Engage with cross-functional teams to align monitoring solutions with organizational objectives. Lead and/or participate in global cross-functional meetings and discussions. Flexible (non-India Standard Time (IST)) hours may be required. Documentation: Develop and maintain comprehensive documentation of monitoring processes and system configurations. Minimum Qualifications Experience : BE/M.tech with 14+ years of experience in managing IT systems across a range of environments with diverse hardware and operating systems. Splunk Expertise : Proven expertise in Splunk administration, including dashboard creation and data integration. Problem Solving : Strong problem-solving skills with the ability to address complex technical challenges. Communication : Excellent communication skills to effectively convey technical concepts to various stakeholders. Team Collaboration : Ability to work collaboratively with team members and contribute to a positive team dynamic. Preferred Qualifications B.E / M.Tech in Computer Science or Information Technology with 14-17 years of hands on experience Proficiency in Python with hands-on experience and exposure in developing machine learning, deep learning and data science Demonstrated expertise in Python scripting for developing, automating, and integrating scalable solutions. Proven proficiency in Java with a solid foundation in object-oriented design and application development. Extensive experience in implementing and tuning machine learning algorithms to solve complex problems. Ability to integrate machine learning models within both Python and Java-based applications for seamless functionality. Strong analytical skills with a proven track record of leveraging programming and ML techniques to drive data-driven decision making. Demonstrated proficiency in SQL for data manipulation and extraction, with a focus on optimizing complex queries for performance. Extensive experience in designing, maintaining, and scaling relational databases to support enterprise applications and machine learning workflows.

Salary : 25 to 40 LPA Exp: 5 to 8 years Location :Mumbai Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Min. Experience : 1 year (min. 1 year fully in hardcore data science with proper hands-on python coding and modeling experience) Max. Experience : 6 years ( strictly NOT going beyond this experience as we don't attract right talent for a junior position) Max Budget : B2 upto 25 lakhs and B3 upto 35 Lakhs - both figures include variable performance linked bonus (NOT to be shared with the candidate) Notice Period: Max. 60 days (not even a single day more) Core Requirements of the role: Strong background in AI/ML research, model development, and deployment. A mindset to build, test, iterate, and deploy models at scalenot just research, but real-world implementation. Experience with GenAI, NLP, deep learning, and large-scale ML systems. Hands-on expertise in Python, TensorFlow/PyTorch, ML frameworks, and cloud computing. Strong Python programming skills (Pandas, Numpy, Matplotlib, Seaborn, etc.) Familiarity with ML algorithms (Regression, Classification, Clustering, Random Forest, Bagging, Boosting, etc.) Solid foundation in Probability, Statistics & Mathematics Proficiency in SQL for data extraction Knowledge of production deployment architectures Bonus Skills: Hands-on production deployment experience Knowledge basic Linux commands Experience with cloud platforms like GCP, AWS, etc. Familiarity with A/B Testing frameworks

AI/ML Team Lead Job Summary: We are looking for an experienced AI/ML Engineer to lead our AI-driven projects and manage a team of engineers. The ideal candidate will have a strong background in artificial intelligence, machine learning, data science, and Python programming. As a Project Lead, you will be responsible for overseeing the development, implementation, and optimization of AI models, ensuring successful project execution, and guiding a team of AI/ML professionals. Key Responsibilities: • Lead AI/ML projects from ideation to deployment, ensuring timely delivery and quality output. • Manage and mentor a team of AI/ML engineers, fostering a culture of innovation and collaboration. • Design, develop, and optimize machine learning models, deep learning architectures, and data-driven solutions. • Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to define project requirements and deliverables. • Stay updated with the latest advancements in AI/ML, integrating relevant technologies and best practices. • Ensure scalability, efficiency, and reliability of AI models in production environments. • Develop and maintain technical documentation, reports, and presentations for both technical and non-technical audiences. • Conduct code reviews and enforce best coding practices for maintainable and efficient codebases. Required Skills & Qualifications: • Education: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • Experience: Minimum 5 years of hands-on experience in AI/ML, with at least 2 years in a leadership or project management role. • Technical Skills: o Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). o Strong understanding of supervised and unsupervised learning algorithms, deep learning, NLP, and computer vision. o Experience with data preprocessing, feature engineering, and model tuning. o Hands-on experience in deploying AI/ML models in production environments. o Knowledge of cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes). o Familiarity with big data technologies like Hadoop, Spark, or Databricks is a plus. AI/ML Team Lead • Leadership & Management Skills: o Proven experience in managing and mentoring AI/ML teams. o Ability to handle multiple projects and ensure alignment with business objectives. o Excellent problem-solving and decision-making skills. o Strong communication skills to convey complex AI concepts to non-technical stakeholders.

Responsibilities Full Stack GCP Cloud Engineer Develop and design AI solutions which include components across Chatbots, Virtual Assistants, and Machine Learning Collaborate with peers across multiple technology disciplines ensuring AI platform and solutions deliver business and technical requirements Lead technical workshops in driving strategic initiatives, while developing and managing relationships both internal and external vendors Serve program teams to better understand their problems and goals, recommending possible solutions and building consensus around architecture Oversee and manage the full AI program life cycle implementations Assist, guide, and drive engineering teams by providing technical oversight during implementation and owning technical delivery Ensure all architectural consideration and non-functional requirements around high availability, scalability, maintainability, and extensibilities are factored in in the core system. Implement POC, sample use case, and core platform components for a highly scalable application Requirements and Skills Google Vertex AI, Google Big Query, Google DataPlex, Google Data Catalog, Cloud Functions, Cloud Composer, Kubernetes on Google, Networking and Firewall knowledge good to have Experience implementing, developing and deploying enterprise AI solutions involving Advanced Analytics, Machine Learning and Data Science specifically on Google Cloud ENvironment Experience with AI architecture and AI interface design covering diverse range of use cases and deployment models In-depth knowledge of components and architectural trade-offs across data management, governance, model building and production workflows of AI on GCP is a must Understand the workflow and planning pipeline architectures of ML and deep learning frameworks, with data, training/retraining and deployment Demonstrated expertise in modeling techniques with types of algorithm and development at least one of the following machine learning, deep learning, time-series, anomaly detection and prediction In-depth theoretical and practical knowledge in few select areas across AI cloud spectrum GCP AI/ML Services and MS Azure ML Services. Google cloud Certification is preferrable Knowledge and ability to apply OOPS concepts, SOLID principles, and design patterns. Experience with Computer Science fundamentals in data structures, algorithms, and complexity analysis Good Analytical skills.

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

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

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

We are seeking a skilled Generative AI Engineer to join our team and lead the development of innovative AI solutions. Your expertise in generative models, deep learning, and data analysis will be critical in creating intelligent and transformative AI applications. You will work closely with cross-functional teams to conceptualize, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of artificial intelligence. Join us and be part of a dynamic team that is shaping the future of AI. Generative AI Engineer Job responsibilities: Expertise in Python development along with AI tools is a must. Should have worked on all the python libraries relevant to AI Complete knowledge on using Open AI and implementation basis the OpenAI libraries is essential. Design and develop algorithms for generative models using deep learning techniques. - Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems. Experience working and implementing solutions using Agentic AI is definitely a plus. Research and stay up to date on the latest advancements in generative AI technologies and methodologies. Optimize and fine-tune generative models for performance and efficiency. Troubleshoot and resolve issues related to generative AI models and implementations. Create and maintain documentation for generative AI models and their applications. Communicate complex technical concepts and findings to non-technical stakeholders. Need to interact with Guidewire developers to integrate the solution with Guidewire. Knowledge on Insurance products such as Guidewire, Duck Creek, Majesco will be an added advantage.

PREDII INDIA PRIVATE LIMITED is looking for LLM Research Engineer to join our dynamic team and embark on a rewarding career journey Design and evaluate large language models for diverse tasks Conduct experiments and optimize model performance Implement research findings into production systems Collaborate with AI researchers and engineers

OneMagnify is looking for Databricks AI Engineer to join our dynamic team and embark on a rewarding career journey Build scalable AI models using Databricks and ML frameworks Optimize data pipelines for model training and deployment Collaborate with data scientists and engineering teams Ensure reliability and performance of AI systems

OrangeMantra is looking for AI/ML Engineer to join our dynamic team and embark on a rewarding career journey We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis Responsibilities:Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions Translate business requirements into machine learning objectives Data Exploration and Preparation:Analyze and preprocess large datasets to extract relevant features for model training Address data quality issues and ensure data readiness for machine learning tasks Model Development:Develop and implement machine learning models using state-of-the-art algorithms Experiment with different models and approaches to achieve optimal performance Training and Evaluation:Train machine learning models on diverse datasets and fine-tune hyperparameters Evaluate model performance using appropriate metrics and iterate on improvements Deployment:Deploy machine learning models into production environments Collaborate with DevOps and IT teams to ensure smooth integration Monitoring and Maintenance:Implement monitoring systems to track model performance in real-time Regularly update and retrain models to adapt to evolving data patterns Documentation:Document the entire machine learning development pipeline, from data preprocessing to model deployment Create user guides and documentation for end-users and stakeholders Collaboration:Collaborate with data scientists, software engineers, and domain experts to achieve project goals Participate in cross-functional team meetings and knowledge-sharing sessions

Responsibilities:- Conducting research aligned to the roadmaps to de-risk/ mature and insert advanced AI concepts to Honeywell products (latest advancements in generative AI / Causal / Knowledge Graphs, machine learning, and deep learning techniques ) Researching, designing, implementing, scalable AI based solutions to solve high value & challenging customer problems and drive opportunities for new growth Leads prototyping (what-ifs) supporting pilot programs for R&D purposes. Collaborating with cross-functional teams to develop data-driven solutions. Responsible for problem analysis, stakeholder interaction, solution design, front end and back-end integration, maintenance, and support of data science and analytics solutions Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes You Must Have:- Over all 6 to 9 yrs Experience Bachelors / master s degree in engineering, Applied Mathematics or related field Strong analytics skills: ability to assess data, drive insights, and make recommendations. Strong experience in manipulating data sets and building statistical models. Strong problem-solving skills with an emphasis on product development. Experience supporting fast-paced startup engineering teams In-depth understanding of the latest trends and developments in AI and ML, especially in generative models and LLM (both Cloud and OnPrem) Proficiency in programming languages & libraries Cloud: AWS, Azure. Languages: Advanced Python, pySpark Framework: Lambda , Django, Express. Database: Postgres, Mongo, ES Hands on experience in Design and development including Automated Unit testing (pyTest) with strong technical background to create performant & extendible applications Over all 6 years & Minimum 4 years of relevant experience in data science related product development

: 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.

At Vipas AI, were at the forefront of revolutionizing Artificial Intelligence (AI) and Machine Learning (ML) application accessibility Our mission is to democratize AI creation and consumption, bridging the gap between AI developers/scientists and the billions of common end-users We are building a cutting-edge platform to create and monetize AI Apps, making advanced AI tools usable and beneficial for everyone ",jobDescription:"We are seeking a passionate and skilled Data Scientist to join our dynamic team You will play a central role in fine-tuning open-source Large Language Models (LLMs) and other Generative AI Models, retraining these models with domain-specific data to create specialized AI solutions This is an opportunity to be a founding member of an innovative startup shaping the future of AI accessibility , keyResponsibilities:["Fine-tune and optimize open-source LLMs and other Generative AI Models such as GPT, BERT, and Transformer models Implement Retrieval-Augmented Generation (RAG) techniques to enhance the performance of AI models Retrain Generative AI models with domain-specific data to create customized AI models Develop, implement, and maintain AI models using frameworks such as TensorFlow, ONNX, and PyTorch Apply advanced techniques like neural networks, autoencoders, and transformers in model development Write clean, maintainable, and efficient code primarily in Python Conduct research and stay up-to-date with the latest trends and advancements in AI and ML Optimize models for inference on various hardware accelerators like GPUs and TPUs Continuously improve the performance and accuracy of AI models through experimentation and iteration Document model development processes and results, ensuring reproducibility and transparency "],skills:["0-5 years of experience in data science, machine learning, or a related field Strong proficiency in Python and experience with TensorFlow, ONNX, and PyTorch frameworks Experience with fine-tuning and retraining open-source LLMs and Generative AI models In-depth understanding of ML and AI concepts, including model training, validation, and deployment Experience with neural networks, autoencoders, transformers, and other deep learning techniques Familiarity with Retrieval-Augmented Generation (RAG) techniques Proficiency in data preprocessing, feature engineering, and data augmentation techniques Familiarity with cloud services (Google Cloud Platform, Azure, AWS) for model training and deployment Strong problem-solving skills and attention to detail Ability to work collaboratively in a fast-paced, startup environment "] , additionalSkills:["Experience with containerization technologies such as Docker and Kubernetes for model deployment Familiarity with CI/CD pipelines and DevOps practices for AI/ML Knowledge of Natural Language Processing (NLP) techniques and frameworks Understanding of model optimization and compression techniques for efficient inference Experience with distributed training and inference of AI models "],coreQualities:["Insatiable Hunger: A profound desire to build a global product and business that has the potential to impact billions worldwide Your ambition is to challenge and revolutionize multiple industries using AI Customer-Centric Focus: A singular commitment to the success of the end-customer You understand that the customers success is the only means for our success, and you design and develop with this as your core principle Startup Agility: A genuine enjoyment of the startup environment Youre adaptable, eager to wear various hats, and actively contribute to product decisions and usability In our dynamic setting, flexibility and a can-do attitude are crucial Relentless Pursuit of Excellence: In the face of competition from tech giants, you remain undeterred Your tenacity ensures our product not only competes against Goliaths but excels in the market Adaptive & Inclusive Leader: You are a champion of diverse thought and continuous learning, fostering an environment where varied perspectives are celebrated and every self-learning opportunity is embraced You promote a flat organizational structure that values merit and contribution over hierarchy, ensuring quick and right decisions Passionate about AI & Technology: Your enthusiasm for technology and AI is infectious, contributing to an atmosphere of innovation and continuous improvement Visionary Builder: Youre not just joining a company; youre becoming part of a team that aspires to build the next global tech giant This journey begins here, in India, and youre excited to be a key member of it

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Job Description: The Principal Consultant plays a vital role in providing best in class technical expertise for marketing measurement solutions. The individual will work as a Subject Matter Expert on Marketing measurement programs with a clear responsibility of bringing technical expertise in AI and engineering in the solution areas. S/he will work with data scientists and engineers to build solution prototypes, collaborate with client teams to brainstorm new AI lead solutions in measurement, become trusted advisors for key clients by bringing thought leadership and groom a set of exceptional consultants to deliver with excellence. S/he should have a client service orientation with the ability to influence the clients decision-making process, improving the overall client engagement. (Roles and Responsibilities) As a capability lead, generate client value by developing innovative solutions that solve client problems efficiently and effectively Identify opportunities to scale existing projects by bringing tools and best practices for expansion of current scope and drive productivity improvements and efficiency to enhance gross margins. Lead a team of highly motivated individuals and encourage to develop new capabilities through learning and development and knowledge sharing initiatives Lead by example in analytics delivery and guide the team in data synthesis, modeling techniques and culling out actionable insights, implications, and recommendations to address clients business KPIs and /or identify opportunities Ability to attract and retain high calibre talent for the organization and clearly communicate the vision, goals, and objectives of the organization and guide others in linking their activities to the success of the organization. Work effectively with peer groups in sales & marketing, practice teams and enabling functions to drive higher value to add to clients. Participate in the sales process to scope client needs and consult the client to frame up solution and delivery approach. Contribute to the development of the capability through collateral demonstrating thought leadership and develop scalable solutions to address business problems across the industry Describe the role in detail without mentioning any technical tool/platform/programming language) Section 2 (Mandatory technical skills) 11+ years of experience in analytics delivery and business consulting with at least 5+ years of leadership experience along with 3+ years of experience in creating solutions for Marketing teams Experience in design and review of new solution concepts and leading the delivery of high-impact analytics solutions and programs for global clients. Knowledge of AI and machine learning techniques such as deep learning, neural networks, LLMs, Reasoning models to drive superior measurement techniques for the client. Should be able to evaluate and bring in new advanced techniques to enhance the value-add for clients Should be able to apply domain knowledge to functional areas like market size estimation, business growth strategy, impact of govt policies on product, strategic revenue management, marketing effectiveness Must have excellent project/program management skills and have experience managing multiple work streams and projects at one time Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. Good thought leadership & ability to structure & solve business problems, innovating, where required Outstanding presentation and communication skills (Oral and written) with the ability to inspire others to make informed decisions. Must have the ability to adapt to changing business priorities in a fast-paced business environment Post graduate degree in a quantitative discipline from a reputed institute If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Senior Engineer: Senior Data Scientist (LLM / Transformer): Responsibilities: 1. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience. 2. Design and implement AI safety and guardrails in the API layer working closely with researchers. 3. Collaborate with cross-functional teams to understand their data needs and develop solutions that meet those needs. 4. Stay updated with the latest trends and advancements in data science, machine learning, and Generative AI space. Qualifications: 1. Bachelors degree in Computer Science, Statistics, Mathematics, or a related field with 8+ years of relevant workingexperience, or Masters degree in the same with 5+ years of working experience. 2. Experience with machine learningfundamentals, with workingknowledge of Python and experience with deep learning frameworks such as Pytorch, TensorFlow, JAX or MXNet 3. Required hands-on experience with designand implementation ofapplications using Large Language Models (LLM). More specifically: Substantial prior programming experiencein languages suchas R, Python, SPARK, SQL. Comfort with professional software development process and GitHub. Google PaLM, OpenAI GPT, LLaMA, orsimilar models. LangChain, LlamaIndex, or similarframeworks. Advanced prompt engineering. Retrieval Augmented Generation (RAG). Vector databases (GCP Vector Search, ChromaDB, Experiences related to AWS services such as SageMaker,

As a Generative AI developer with IBM Consulting, you are primarily responsible for developing and implementing complex GenAI solutions using IBM WatsonX and Ecosystem Partner Stacks (Microsoft Azure / Open AI, AWS, Aleph Alpha, as well as Open Source). In addition, you are supporting business development, sales as well as the delivery of consulting and system integration projects in Data & AI for our clients. * You have end-to-end technical responsibility during the acquisition, design and delivery of technically complex GenAI projects at scale * You are accountable for the development and productive deployment of scalable Generative AI applications and platforms, particularly within (hybrid) cloud architectures. * You provide consultation and support to clients and colleagues in architecting and selecting the right technology stack for flexible, scalable, and economical GenAI solutions. * You guide and support clients and colleagues in the adoption of development and operational processes for AI solutions, such as Agile DevOps, FinOps, Trustworthy AI and MLOps methodologies. * You stay abreast of the latest developments in the Artificial Intelligence market and research environment, actively participating in knowledge transfer within IBM Consulting, especially when it comes to mentoring junior team members and delivery teams. * You also develop the strategy, vision, and roadmap for GenAI architectures within our consulting business, contributing to both our immediate sales objectives and long-term business growth. Required education Bachelor's Degree Required technical and professional expertise Professional with at least 5-8 years of experience ideally in data and analytics and/or architecture, including 2 years in the design, build, and implementation of AI/Deep Learning & GenAI solutions. * Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases. * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X) * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source) * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stake holder Preferred technical and professional experience Experienced in developing AI solutions of highly technical analytics use cases. * * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X). * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source) * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stakeholders. * Fluent in English

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP FI S/4HANA Accounting Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time educationJob Summary :We are seeking a highly skilled and experienced Senior SAP S/4HANA Finance Consultant to lead and deliver end-to-end SAP S/4HANA Finance solutions across on-premise, private cloud, and public cloud environments. However, experience in Public Cloud is plus. The ideal candidate will have deep expertise in financial processes, SAP S/4HANA Finance modules, and deployment strategies, along with strong leadership and client-facing skills.Key Responsibilities:Lead the design, implementation, and optimization of SAP S/4HANA Finance solutions.Collaborate with stakeholders to gather business requirements and translate them into technical solutions.Provide expertise in financial modules such as General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR) including credit and Collection Managment, Asset Accounting (AA), Treasury/Banking and additionally Controlling (CO) knowledge if have.Manage deployment strategies across on-premise, private cloud, and public cloud environments. However, experience in Public Cloud is plus.Conduct workshops and training sessions for clients and internal teams.Ensure compliance with financial regulations and standards during implementation.Perform system integration, testing, and troubleshooting to ensure seamless operations.Provide thought leadership and guidance on SAP S/4HANA Finance best practices.Mentor junior team members and contribute to knowledge sharing within the organization.Required Skills and Qualifications:10+ years of experience in SAP Finance solutions, with at least 5 years in SAP S/4HANA Finance.Expertise in financial processes and SAP modules (GL, AP, AR, AA, Treasury/Banking & CO).Strong knowledge of deployment models (on-premise, private cloud, public cloud).Proven experience in leading SAP S/4HANA Finance implementations.Excellent problem-solving and analytical skills.Strong communication and client-facing skills.Bachelor's degree in Finance, Accounting, or a related field; MBA or equivalent is preferred.Preferred Skills: Experience with RISE with SAP and SAP Activate methodology.Knowledge of integration with other SAP modules (e.g., MM, SD).Familiarity with advanced technologies like Fiori apps and analytics tools. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Engineering Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Engineering.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Data Engineering.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education