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

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.

Position: Senior Python Developer Experience: 6-8 Years Location: Chennai About the Role: We are looking for someone who is passionate about writing clean, high-performance code and is excited by data-driven applications. The ideal candidate will bring strong expertise in Python and modern data processing libraries, with a proven track record of building and scaling backend systems. This role is perfect for someone who is proactive, quick to learn, and thrives in a fast-paced environment. Key Responsibilities: Design, develop, and maintain backend systems and APIs using Python and FastAPI. Work with data-centric libraries like pandas , polars , and numpy to build scalable data pipelines and services. Implement and manage asynchronous task scheduling using FastAPI schedulers or similar tools. Contribute to architectural decisions and mentor junior developers. Participate in code reviews, testing, and good at troubleshooting. Work closely with data teams and business stakeholders to understand requirements and deliver effective solutions. Continuously learn and adapt to new technologies and best practices. Must-Have Qualifications: 6-8 years of professional experience with Python . Proficient in pandas , polars , and numpy . Strong experience building APIs with FastAPI or similar frameworks. Hands-on experience with task scheduling and background job management . Excellent problem-solving and communication skills. A passion for learning and the ability to pick up new technologies quickly. Good to Have: Experience with C# in enterprise environments. Strong knowledge of SQL and experience with relational databases (e.g., PostgreSQL, SQL Server). Familiarity with Docker, data versioning, job orchestration tools, or cloud platforms.

About the job: Key responsibilities: 1. Fine-tune and deploy LLMs (e.g., LLaMA 3.2) using LoRA, QLoRA, and related optimization techniques 2. Build intelligent systems combining NLP, image analysis, and pattern recognition 3. Develop and integrate retrieval-augmented generation (RAG) pipelines using LangChain, LlamaIndex, and vector databases like FAISS or Weaviate 4. Apply statistical analysis, feature engineering, and advanced data analysis techniques using NumPy and Pandas 5. Train and evaluate models with CNNs, transformers, and neural networks in PyTorch, TensorFlow, or Keras 6. Package and deploy scalable inference APIs with FastAPI on AWS or Azure 7. Collaborate directly with product and engineering teams to ship AI features into production Requirements: 1. Possess 1+ years of hands-on experience in data science, machine learning, or deep learning roles 2. Demonstrate strong experience with Python, NumPy, Pandas, and modern ML frameworks (PyTorch or TensorFlow) 3. Show practical understanding of transformers, CNNs, and neural network training pipelines 4. Have exposure to LLMs, vector databases, and/or retrieval-augmented generation (RAG) systems 5. Be familiar with FastAPI and deploying ML models to the cloud (AWS or Azure) 6. Hold a solid grounding in statistics, data wrangling, and model evaluation techniques Who can apply: Only those candidates can apply who: have minimum 1 years of experience are Computer Science Engineering students Salary: ₹ 5,00,000 - 6,00,000 /year Experience: 1 year(s) Deadline: 2025-06-28 23:59:59 Other perks: 5 days a week Skills required: Python, SQL, Machine Learning, Natural Language Processing (NLP), TensorFlow, FastAPI, Keras, NumPy and Pandas About Company: Softsensor.ai is a USA and India-based corporation focused on delivering outcomes to clients using data. Our expertise lies in a collection of people, methods, and accelerators to rapidly deploy solutions for our clients. Our principals have significant experience with leading global consulting firms & corporations and delivering large-scale solutions. We are focused on data science and analytics for improving the process and organizational performance. We are working on cutting-edge data science technologies like NLP, CNN, and RNN and applying them in the business context.

Requirements: The candidate should be able to work with functional business analysts, business process owners and other technical team members for a given requirement or process, Capable of executing requirement and design specification into development deliverable. Good communication Skills.

Job Description: Python Training, Internship and Job Assistance Position: Python Intern Location: Pune, Maharashtra, India Duration: 6 months Mode: Offline Stipend: Unpaid Training Program: Free Training with Job Assistance upon Successful Completion Pre-Placement Offer (PPO) Opportunity: 2.5 LPA CTC (Based on performance) Note: CANDIDATES SHOULD BE READY TO LEARN NEW TECHNOLOGIES About the Role: We are seeking a motivated and detail-oriented Python Intern to join our team. The ideal candidate will have a foundational understanding of API development using frameworks like Flask and FastAPI, a strong grasp of Python libraries such as Pandas and NumPy, and a knack for problem-solving. Knowledge of data analytics tools and Large Language Models (LLMs) will be considered a plus. Key Responsibilities: Develop and maintain RESTful APIs using Flask and FastAPI. Work with data manipulation and analysis libraries like Pandas and NumPy. Assist in building scalable and efficient back-end solutions. Solve real-world problems with logical and analytical thinking. Support data analytics efforts using tools like Power BI (preferred). Collaborate with cross-functional teams to understand requirements and deliver solutions. Explore and implement applications of LLMs and other advanced technologies (as needed). Requirements: Proficiency in Python programming. Hands-on experience or knowledge of Flask and FastAPI frameworks. Familiarity with data analysis libraries such as Pandas and NumPy. Strong problem-solving and logical thinking skills. Good understanding of RESTful API design principles. Knowledge of data analytics tools like Power BI is a plus. Awareness of Large Language Models (LLMs) and their potential applications is a bonus. Eagerness to learn and work in a collaborative environment. What We Offer: Hands-on experience in API development and data analytics projects. Mentorship from experienced professionals. Opportunity to explore cutting-edge technologies like LLMs. A learning-focused environment to develop both technical and analytical skills. Potential for full-time opportunities based on performance.

Job Description: Designation: Junior Developer -AI/ML Automation Stream Number of Positions 3 Positions Location 2 positions in Mumbai 1 position in Chennai Educational Qualification Graduates with B.Tech./ BE/ MCA degrees from Indian accredited institution (IIT) Candidates with relevant industry certifications in AI / ML / Data Science will be preferable Experience and Age At least 0-4 years of experience with Information Technology. At Least 0-2 Years of experience in AI/ML Solutions with hands-on experience in development of ML/ Deep Learning algorithms At Least 0-2 Years of experience in Python, R programming Exposure working in Remote process automation tools Experience working with Restful API and general SOA Architecture will be preferable Job Profile Understand Business Requirements and identify opportunities for ML Solutions Develop data solutions and insights using data modeling, machine learning, statistics and analytics. Ensure implementation of best suited ML solution for the business problem with data accuracy, consistency and performance in mind Deploy ML and DL models to production Optimize the model performance, latency, memory and throughput Conduct inference testing on hardware, version control of models, metadata, experiments Design and develop AI solutions applying Machine Learning models, Deep Learning, Classification models, statistical methods and NLU/NLP Develop processes and tools to monitor model performance and data accuracy. Analyze the data trends and recommend action/ steps to the leadership of the business divisions or control divisions to improvise their performance. Conduct analysis of respective business & provide insights with respect to leading and lagging indicators within business to enable effective decision making. Present information using data visualization techniques. Look for continuous optimization and improvements. Develop ML SMEs within the organization. Primary Skills Good programming Skills and analytical abilities Structured Thinking and Strong Problem-Solving Skills Coding Proficiency in AI Programming languages like Python, R, Java etc. Python libraries such as Spark, pandas, scikit, etc. Identifying, extracting, and creating meaningful features from raw data to improve model performance, including techniques like scaling, normalization, and polynomial features. Deep understanding of Principal Component Analysis (PCA), t-SNE, and LDA will be preferable. Applying statistical tests such as ANOVA, chi-square, and t-tests. Optimizing machine learning models through hyperparameter tuning techniques like Grid Search, Random Search, and Bayesian Optimization. Evaluating model performance using cross-validation, ROC curves, AUC, precision-recall, and confusion matrix to ensure robustness and generalization. Analyzing and forecasting time-dependent data using ARIMA, SARIMA, and LSTM models, as well as handling seasonality and trend components. Applying regularization methods such as L1 (Lasso), L2 (Ridge), and Elastic Net. Utilizing Bayesian methods for probabilistic modeling, including experience with tools like PyMC3 or Stan for implementing Bayesian networks and hierarchical models. Implementing Classic MLs, XGBoost, LightGBM, SVM, KNN and stacking to enhance model accuracy and robustness. Good functional and hands on knowledge in ML Techniques and tools like TensorFlow, Keras, Apache MxNet. Strong Math Skills (Multivariable Calculus and Linear Algebra). Exposure to GEN AI such as ChatGPT, Lama, Amazon bedrock, gemini etc. Experience working with RESTful API and general SOA Architecture. Good understanding and experience in ML cloud Platforms like Amazon SageMaker, H2O.ai etc. Expertise in industry leading design and architecture principles Secondary Skills Familiarity with Cloud Architecture, Development of AI/ ML based solutions on Cloud (AWS/ Azure etc.) Strong knowledge of storage data architecture or data lakes Interpersonal and Leadership Skills and strong business acumen Able to collaborate with cross functional teams. Certifications associated to AI/ML will be an added advantage. Financial Domain knowledge is another advantage. Has good exposure and hands on experience to BI Tools like Power BI, Tableau, Apache superset or equivalent visualization tools SQL, ETL, Data Mining, Building Statistical Models for Large Datasets and BI/ Data Visualization tools. Competency Identify areas to implement ML solutions in the current application stack. Lead architecture and development of ML solutions for the organization. Solid knowledge and hands on experience in analyzing large amounts of information to find patterns and BI solutions. Usage of Statistics and ML Algorithms to arrive at custom data models to provide accurate outputs. Resolve complex technical issues in implementation of AI and ML Solutions. Ability to work effectively under pressure to meet critical deadlines. Presenting results in a clear and concise manner Excellent Verbal and Written - Communication and Presentation Skills. Ability to upskill in relevant area as required.

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

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark)In-depth knowledge of Spark’s architecture, core APIs, and PySpark for distributed data processing. Big Data TechnologiesFamiliarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Strong proficiency in PythonExpertise in Python programming with a focus on data processing and manipulation. Data Processing FrameworksKnowledge of data processing libraries such as Pandas, NumPy. SQL ProficiencyExperience writing optimized SQL queries for large-scale data analysis and transformation. Cloud PlatformsExperience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing

Template Job Title - Decision Science Practitioner Analyst S&C GN Management Level:Analyst Location:Bangalore/ Kolkata/Hyderabad Must have skills: Data engineering with Python or pyspark Good to have skills: Gen AI Job Summary : We are seeking a highly skilled and motivated Data Science Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech, Enterprise Tech, and Semiconductors. This role combines designing, building, and maintaining scalable data pipelines and infrastructure, and client delivery management to execute cutting-edge projects in data science & data engineering Key Responsibilities Generative AI Expertise Develop fine-tune models for NLP, Computer Vision, and multimodal applications, leveraging GenAI frameworks. Design and implement evaluation strategies to optimize model performance (e.g., BLEU, ROUGE, FID). Architect deployment solutions, including API development and seamless integration with existing systems. Data Science and Engineering Design, build, and maintain robust, scalable, and efficient data pipelines (ETL/ELT). Work with structured and unstructured data across a wide variety of data sources. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements. Optimize data systems and architecture for performance, scalability, and reliability. Monitor data quality and support initiatives to ensure clean, accurate, and consistent data. Develop and maintain data models and metadata. Implement and maintain best practices in data governance, security, and compliance. Required Qualifications Experience: 2+ years in data engineering/data science Education: B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field Technical Skills Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL). Strong programming skills in Python, Scala, or Java. Language & Frameworks - Python, SQL, scikit-learn, TensorFlow or PyTorch Data Tools:Pandas, NumPy, Matplotlib, Seaborn Orchestration - DBT, Apache Airflow GenAI & LLM Tooling :LangChain, LlamaIndex, Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone) Good knowledge of ML Ops best practices and processes. Experience with big data technologies such as Spark or Hive. Familiarity with cloud platforms like AWS, Azure, or GCP, especially services like S3, Redshift, BigQuery, or Azure Data Lake. Experience with orchestration tools like Airflow, Luigi, or similar. Solid understanding of data warehousing concepts and data modelling techniques. Good problem-solving skills and attention to detail. Preferred Skills Experience with modern data stack tools like dbt, Snowflake, or Databricks. Knowledge of CI/CD pipelines and version control (e.g., Git). Exposure to containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation). Additional Information: - The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients - This position is based at our Bengaluru (preferred), Kolkata and Hyderabad office. About Our Company | Accenture Qualification Experience: 2+ years in data engineering and/or data science Educational Qualification:B tech, M tech in Computer Science, Statistics, Applied Mathematics, Engineering or related field

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying this knowledge to enhance the functionality and efficiency of the applications you develop. 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.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. 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 : Large Language Models 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 engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. 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.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. 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 : Large Language Models 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 engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. 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.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. 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 : Large Language Models 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 engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying this knowledge to enhance the functionality and efficiency of the applications you develop. 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.- Mentor junior team members to foster their professional growth.- Continuously evaluate and improve existing AI models and systems. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. 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 : Large Language Models 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 engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready pipelines, ensuring the integration of generative AI models into solutions, and exploring various AI methodologies such as deep learning and neural networks. You will also work on enhancing user experiences through chatbots and image processing technologies, contributing to innovative projects that push the boundaries of AI capabilities. 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.- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous learning.- Evaluate and implement best practices in AI and machine learning to improve project outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services, particularly in deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to work with data preprocessing and feature engineering for model training. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. 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 : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. 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.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Evaluate and implement new technologies and methodologies to improve project outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. 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 : Large Language Models Good to have skills : cucumber, eclipseMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying innovative approaches to solve complex problems and enhance system capabilities. 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.- Mentor junior team members to enhance their skills and knowledge.- Evaluate and recommend new tools and technologies to improve team efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. 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 : Large Language Models 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 engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies effectively into existing systems and workflows. 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.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based in Pune.- A 15 years full time education is required. 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 : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying this knowledge to enhance the functionality and efficiency of the applications you develop. 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.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. 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 Science Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various technologies, including deep learning, neural networks, and image processing, while also exploring the integration of generative AI models into your projects. Collaboration with team members and stakeholders will be essential as you contribute to innovative solutions that address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.- Conduct research and stay updated on the latest advancements in AI and machine learning technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Good To Have Skills: Experience with machine learning frameworks such as TensorFlow or PyTorch.- Strong understanding of data preprocessing techniques and feature engineering.- Experience in deploying machine learning models in cloud environments.- Familiarity with programming languages such as Python or R. Additional Information:- The candidate should have minimum 3 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. 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 : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. 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.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services for deploying AI solutions.- Familiarity with data preprocessing and augmentation techniques.- Ability to design and implement APIs for AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. 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 : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to deliver innovative solutions that address complex challenges in the field of artificial intelligence. 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.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing AI models and systems. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. 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 Science 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 engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Good To Have Skills: Experience with machine learning frameworks such as TensorFlow or PyTorch.- Strong understanding of data preprocessing techniques and feature engineering.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Experience in developing and optimizing algorithms for large datasets. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Walkin Interview Only NO virtual please Job Title: AI/ML Intern Location: Bangalore Key Responsibilities: Assist in building and training machine learning models for classification, regression, clustering, or recommendation systems. Collect, clean, and preprocess data for model development. Research and implement algorithms from academic papers and technical blogs. Help deploy models using frameworks such as Flask, FastAPI, or Streamlit. Collaborate with the engineering and data teams on model evaluation and improvement. Document findings, processes, and results effectively. Desired Skills & Qualifications: Pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, or a related field. Proficiency in Python and common libraries: NumPy , pandas , scikit-learn , matplotlib . Exposure to TensorFlow , PyTorch , or similar deep learning frameworks. Good understanding of ML fundamentals like supervised/unsupervised learning. Strong analytical and problem-solving skills. Familiarity with Jupyter Notebooks or Google Colab. Bonus Skills: Knowledge of NLP , computer vision , or time-series analysis . Experience with model deployment or MLOps tools. Git/GitHub knowledge for version control and collaboration.

Python backend Primary skills • Mandatory Programming Skills • Experience in Datadog, API endpoint (Flask/ Django/ Fast ) creation. • Asynch.io, • Logging library & Datadog. • NumPy & panda. ( optional). • Postgres DB /Mongo DB Basic • S3 / AWS ( optional ). • Any API Management tool ( Postman /Mulesoft ) • GRPC (optional)