About the Company Akaike Technologies is a Bengaluru-based AI company founded in 2018, focused on making advanced AI solutions practical and accessible for enterprises. Named after the famed statistician Dr. Hirotugu Akaike, the company specializes in multi-modal AI, combining structured and unstructured data for powerful business insights and automations. Akaike offers both ready-to-use products and custom AI services, spanning areas like Vision AI, NLP, Conversational AI, and Generative AI. With a strong research-driven culture and recognition for its data science excellence, Akaike serves industries such as pharma, BFSI, retail/ecommerce, and manufacturing . About the Role We’re looking for a highly hands-on UX Designer to join us on a contract basis. You’ll take ownership of designing from the ground up — contributing to product strategy, interface design, and user research. If you’re passionate about building clean, thoughtful, user-friendly interfaces and enjoy the fast pace of startups, we want to talk to you. Estimated timeline: 3–6 months with possibility of extension Responsibilities Product & Experience Design Design intuitive UX flows and UI interfaces for mobile apps, websites, and SaaS platforms Conduct user research and translate insights into design decisions Create wireframes, prototypes, and high-fidelity designs using tools like Figma or Sketch Contribute to design systems and ensure visual consistency across products Collaboration & Delivery Work closely with developers, product managers, and stakeholders to bring ideas to life Iterate based on feedback from users and internal teams Maintain design documentation and contribute to product strategy discussions Qualifications Must-Have Skills 5+ years of hands-on experience in UX/UI design Strong portfolio demonstrating design work across web and mobile platforms Prior experience designing for SaaS products Worked in startup environments with ownership and speed Proficiency with design tools like Figma, Adobe XD, Sketch, etc. Good to Have Experience in BI/dashboard design Exposure to motion design tools like Lottie, After Effects, or Framer Basic understanding of front-end implementation and developer collaboration Soft Skills Excellent visual storytelling and user empathy Clear communication and collaboration across cross-functional teams Ability to work independently with minimal supervision Creative problem-solving mindset and detail orientation Please Apply via link here: Application Form Show more Show less
Job Title : Senior Data Scientist (SDS 2) Experience: 4+ years Location : Bengaluru (Hybrid) Company Overview: Akaike Technologies is a dynamic and innovative AI-driven company dedicated to building impactful solutions across various domains . Our mission is to empower businesses by harnessing the power of data and AI to drive growth, efficiency, and value. We foster a culture of collaboration , creativity, and continuous learning , where every team member is encouraged to take initiative and contribute to groundbreaking projects. We value diversity, integrity, and a strong commitment to excellence in all our endeavors. Job Description: We are seeking an experienced and highly skilled Senior Data Scientist to join our team in Bengaluru. This role focuses on driving innovative solutions using cutting-edge Classical Machine Learning, Deep Learning, and Generative AI . The ideal candidate will possess a blend of deep technical expertise , strong business acumen, effective communication skills , and a sense of ownership . During the interview, we look for a proven track record in designing, developing, and deploying scalable ML/DL solutions in a fast-paced, collaborative environment. Key Responsibilities: ML/DL Solution Development & Deployment: Design, implement, and deploy end-to-end ML/DL, GenAI solutions, writing modular, scalable, and production-ready code. Develop and implement scalable deployment pipelines using Docker and AWS services (ECR, Lambda, Step Functions). Design and implement custom models and loss functions to address data nuances and specific labeling challenges. Ability to model in different marketing scenarios of a product life cycle ( Targeting, Segmenting, Messaging, Content Recommendation, Budget optimisation, Customer scoring, risk and churn ), and data limitations(Sparse or incomplete labels, Single class learning) Large-Scale Data Handling & Processing: Efficiently handle and model billions of data points using multi-cluster data processing frameworks (e.g., Spark SQL, PySpark ). Generative AI & Large Language Models (LLMs): Leverage in-depth understanding of transformer architectures and the principles of Large and Small Language Models . Practical experience in building LLM-ready Data Management layers for large-scale structured and unstructured data . Apply foundational understanding of LLM Agents, multi-agent systems (e.g., Agent-Critique, ReACT, Agent Collaboration), advanced prompting techniques, LLM eval uation methodologies, confidence grading, and Human-in-the-Loop systems. Experimentation, Analysis & System Design: Design and conduct experiments to test hypotheses and perform Exploratory Data Analysis (EDA) aligned with business requirements. Apply system design concepts and engineering principles to create low-latency solutions capable of serving simultaneous users in real-time. Collaboration, Communication & Mentorship: Create clear solution outlines and e ffectively communicate complex technical concepts to stakeholders and team members. Mentor junior team members, providing guidance and bridging the gap between business problems and data science solutions. Work closely with cross-functional teams and clients to deliver impactful solutions. Prototyping & Impact Measurement: Comfortable with rapid prototyping and meeting high productivity expectations in a fast-paced development environment. Set up measurement pipelines to study the impact of solutions in different market scenarios. Must-Have Skills: Core Machine Learning & Deep Learning: In-depth knowledge of Artificial Neural Networks (ANN), 1D, 2D, and 3D Convolutional Neural Networks (ConvNets), LSTMs , and Transformer models. Expertise in modeling techniques such as promo mix modeling (MMM) , PU Learning , Customer Lifetime Value (CLV) , multi-dimensional time series modeling, and demand forecasting in supply chain and simulation. Strong proficiency in PU learning, single-class learning, representation learning, alongside traditional machine learning approaches. Advanced understanding and application of model explainability techniques. Data Analysis & Processing: Proficiency in Python and its data science ecosystem, including libraries like NumPy, Pandas, Dask, and PySpark for large-scale data processing and analysis. Ability to perform effective feature engineering by understanding business objectives. ML/DL Frameworks & Tools: Hands-on experience with ML/DL libraries such as Scikit-learn, TensorFlow/Keras, and PyTorch for developing and deploying models. Natural Language Processing (NLP): Expertise in traditional and advanced NLP techniques, including Transformers (BERT, T5, GPT), Word2Vec, Named Entity Recognition (NER), topic modeling, and contrastive learning. Cloud & MLOps: Experience with the AWS ML stack or equivalent cloud platforms. Proficiency in developing scalable deployment pipelines using Docker and AWS services (ECR, Lambda, Step Functions). Problem Solving & Research: Strong logical and reasoning skills. Good understanding of the Python Ecosystem and experience implementing research papers. Collaboration & Prototyping: Ability to thrive in a fast-paced development and rapid prototyping environment. Relevant to Have: Expertise in Claims data and a background in the pharmaceutical industry . Awareness of best software design practices . Understanding of backend frameworks like Flask. Knowledge of Recommender Systems, Representative learning, PU learning. Benefits and Perks: Competitive ESOP grants. Opportunity to work with Fortune 500 companies and world-class teams. Support for publishing papers and attending academic/industry conferences. Access to networking events, conferences, and seminars. Visibility across all functions at Akaike, including sales, pre-sales, lead generation, marketing, and hiring. Appendix Technical Skills (Must Haves) Having deep understanding of the following Data Processing : Wrangling : Some understanding of querying database (MySQL, PostgresDB etc), very fluent in the usage of the following libraries Pandas, Numpy, Statsmodels etc. Visualization : Exposure towards Matplotlib, Plotly, Altair etc. Machine Learning Exposure : Machine Learning Fundamentals, For ex: PCA, Correlations, Statistical Tests etc. Time Series Models, For ex: ARIMA, Prophet etc. Tree Based Models, For ex: Random Forest, XGBoost etc.. Deep Learning Models, For ex: Understanding and Experience of ConvNets, ResNets, UNets etc. GenAI Based Models : Experience utilizing large-scale language models such as GPT-4 or other open-source alternatives (such as Mistral, Llama, Claude) through prompt engineering and custom finetuning. Code Versioning Systems : Github, Git If you're interested in the job opening, please apply through the Keka link provided here: https://akaike.keka.com/careers/jobdetails/26215 Show more Show less
IMP Note: Two openings are available in the related markets (US and India) with different shifts as needed. Please apply through the Keka link provided and answer the questions truthfully to ensure a smooth process. Job Title: Sales Development Representative (SDR) Location: Bangalore Territory: North America / India Company: Akaike AI About Akaike AI: Akaike AI is a forward-thinking artificial intelligence company dedicated to delivering cutting-edge AI solutions that drive business transformation. We specialize in developing innovative AI models and tools that empower organizations to optimize operations, enhance customer experiences, and unlock new revenue streams. Join us and be part of a dynamic team shaping the future of AI technology. Position Overview We are hiring two highly motivated Sales Development Representatives (SDRs): SDR US Market Focus (Night Shift) SDR India/Regional Market Focus (Day Shift) Both roles will be part of our go-to-market team, focused on identifying and qualifying new B2B sales opportunities, building pipelines, and driving the early stages of the sales cycle. Key Responsibilities (Common to Both Roles) Prospecting & Lead Generation: Identify, research, and build target account lists using various tools and strategies. Outbound Outreach: Execute cold calls, personalized emails, LinkedIn outreach, and other creative methods to connect with decision-makers. Qualification: Understand prospect needs, challenges, and priorities; qualify leads based on fit and interest in Akaike AIs solutions. Pipeline Management: Maintain accurate, up-to-date sales activities and prospect data in Hubspot. Collaboration: Work closely with sales, presales, product, and marketing teams to refine outreach strategies and ensure smooth lead handoffs. Product & Market Knowledge: Stay informed on Akaike AI offerings, competitive landscape, and AI adoption trends. Follow-up & Nurturing: Build relationships with prospects through consistent, value-driven engagement. Role-Specific Details 1. SDR US Market Focus (Night Shift) Territory: North America Shift: Night (to align with US business hours) Preferred Background: 2+ years of B2B sales/lead generation/business development, preferably in AI/DS/Analytics or technology. Experience engaging with US-based enterprise stakeholders. Strong ability to articulate complex concepts clearly and persuasively. 2. SDR India/Regional Market Focus (Day Shift) Territory: India/APAC/MENA Shift: Day Preferred Background: 2+ years of B2B sales/lead generation/business development, ideally in SaaS, AI, or tech consulting. Familiarity with Indian enterprise sales cycles and regional market nuances. Comfortable engaging mid-to-senior level stakeholders in large organizations. Qualifications (Both Roles) Education: Bachelors degree in Business, Marketing, Technology, or related field (preferred). Communication Skills: Excellent spoken and written English; strong storytelling and articulation abilities. Drive & Motivation: Target-driven, adaptable, and eager to learn. Tech Skills: Proficient with CRM tools (Hubspot preferred), LinkedIn Sales Navigator, email automation tools, and other sales enablement technologies. Mindset: Comfortable in a fast-paced, startup-like environment with high ownership. Why Join Akaike AI ???? Career Growth: Work on high-impact AI projects in a fast-growing company. ???? Learning Culture: Exposure to cutting-edge AI, GenAI, and enterprise AI adoption. ???? Collaborative Team: Work alongside talented and supportive peers. ???? Sales Tools & Tech: Access to world-class sales enablement platforms. ???? Hybrid Work Environment: Flexibility balanced with in-person collaboration. ???? Team Culture: Engaging team-building activities and open feedback culture. ???? Health & Wellness: Comprehensive benefits focused on wellbeing. ???? How to Apply: If youre passionate about AI, sales, and making an impact in a rapidly growing market, apply now through the Keka link at quick apply. Be sure to specify which role you&aposre applying for (US Market or India Market) and answer a few questions related to the position. Show more Show less
As an intern at Akaike Technologies, you will be engaged in a variety of exciting tasks related to working with Large Language Models (LLMs) such as GPT, LLaMA, or Mistral to develop real-world applications. Your responsibilities will include developing effective prompts to enhance AI-generated outputs, implementing Retrieval-Augmented Generation (RAG) for improved knowledge retrieval, and applying classic ML techniques (classification, regression, clustering) using tools like scikit-learn, TensorFlow, or PyTorch. You will also be involved in working with Hugging Face Transformers for pre-trained model adaptation, developing RESTful APIs to seamlessly integrate AI models into applications, and collaborating with APIs from OpenAI, Cohere, Hugging Face, Google AI for model interactions. Additionally, you will implement frameworks like LangChain for LLM-driven applications, deploy AI apps using backend frameworks like Flask, FastAPI, and utilize lightweight frontend technologies such as Streamlit, Gradio, etc. Your role will also include tasks such as collecting and preprocessing both structured and unstructured data for ML training, applying NLP techniques like tokenization, named entity recognition, and text summarization, alongside having a good understanding of SQL querying and PySpark. You will deploy models using Docker and cloud platforms such as AWS, GCP, Azure, ensuring clear documentation of workflows, experiments, and findings, and sharing insights with the team on emerging AI techniques and tools. Join us at Akaike Technologies, where we harness the power of Computer Vision, NLP, Predictive Analytics, and Generative AI to deliver intelligent solutions that redefine what's possible. Over the years, we have amazed clients with our innovative AI solutions that have revolutionized industries, enhanced efficiency, and pushed the boundaries of technological advancement.,
Role: DS Location: Bengaluru (Hybrid) Experience: 2-4 years Akaike Technologies, Greater Bengaluru Area Company Overview Akaike Technologies is a dynamic and innovative AI-driven company dedicated to building impactful solutions across various domains. Our mission is to empower businesses by harnessing the power of data and AI to drive growth, efficiency, and value. We foster a culture of collaboration, creativity, and continuous learning, where every team member is encouraged to take initiative and contribute to groundbreaking projects. We value diversity, integrity, and a strong commitment to excellence in all our endeavors . Job Description We are seeking an innovative and driven Data Scientist to join our dynamic team. This role is at the heart of our mission to build intelligent systems that solve real-world business problems. You will be instrumental in designing and deploying cutting-edge solutions that leverage Generative AI, agentic systems, deep learning, and classical machine learning . The ideal candidate is a hands-on builder with a strong foundation in data analysis and software engineering, who thrives in a fast-paced environment and is passionate about pushing the boundaries of what's possible with AI. Experience in the pharmaceutical or life sciences domain is highly valued. Key Responsibilities Design & Build GenAI Systems: Lead the design, development, and deployment of robust Generative AI solutions, including agentic systems and Retrieval-Augmented Generation (RAG) pipelines to tackle complex business challenges. Develop Intelligent Agents: Create sophisticated agents capable of reasoning and executing tasks over large-scale structured data (e.g., databases, APIs) and unstructured data. Ensure System Reliability: Establish and implement rigorous frameworks for evaluating, testing, and ensuring the reliability, safety, and accuracy of LLM-based systems. End-to-End Model Ownership: Apply a wide range of machine learning and deep learning techniques (e.g., forecasting, CLV, recommendation systems, NLP) and own the entire model lifecyclefrom rapid prototyping to deploying scalable, low-latency solutions using Docker and AWS services . Large-Scale Data Mastery: Process and analyze massive datasets (billions of records) using distributed computing frameworks like PySpark to extract actionable insights and engineer impactful features. Experimentation & Communication: Design and conduct experiments to validate hypotheses, perform insightful EDA, and effectively communicate solution outlines and results to stakeholders and team members. Mentorship & Collaboration: Mentor junior team members and act as a bridge between business problems and data science, working closely with cross-functional engineering and product teams. Core Qualifications & Skills Experience: 2-4 years of hands-on experience in a data science role, building and deploying machine learning models in a production environment. Generative AI Proficiency: Demonstrated experience building solutions using Large Language Models (LLMs), with specific expertise in RAG architectures and agentic frameworks (e.g., LangChain, Langgraph, or similar). ML & Deep Learning: Strong foundation in classical machine learning algorithms and deep learning architectures (ANN, CNNs, LSTMs, Transformers). Programming & Data Analysis: High proficiency in Python and its data science ecosystem ( Pandas, NumPy, Scikit-learn ). Excellent SQL skills are a must. Big Data Technologies: Proven experience with distributed data processing frameworks, particularly PySpark . Problem-Solving: Exceptional analytical, logical reasoning, and problem-solving skills with a data-driven approach. Engineering & Deployment: Solid understanding of system design concepts and MLOps principles, including containerization ( Docker ) and cloud services ( AWS stack : S3, Lambda, ECR, Step Functions, etc.). Data Analysis & Machine Learning Utilize Python libraries like NumPy, Pandas, and Dask, Pyspark for data processing and analysis. Apply ML/DL libraries like Scikit-learn, TensorFlow/Keras, PyTorch for developing and deploying models. Traditional NLP Expertise : Work on advanced NLP techniques including Transformers (BERT, T5, GPT), Word2Vec, NER, topic modeling, and contrastive learning. Good understanding of Python Ecosystem and implementing research papers Collaboration & Communication : Work closely with cross-functional teams and clients to deliver impactful solutions. Fast paced development and Rapid prototyping environment. Preferred Qualifications Domain expertise in Pharma or Life Sciences , with an understanding of claims data, commercial analytics. Hands-on experience with fine-tuning open-source LLMs (e.g., Llama, Mistral) for specific tasks. Deep understanding of the latest developments in agentic systems, including MCP and multi-agent frameworks (e.g., AutoGen, CrewAI). Experience with advanced ML techniques such as Positive-Unlabeled (PU) learning, representation learning, and advanced model explainability. Prior experience in building domain-specific models like Marketing Mix Models (MMM) , demand forecasting, or multi-dimensional time series analysis. Contributions to open-source AI/ML projects or publications in relevant fields. Benefits And Perks Competitive ESOP grants Working with fortune 500 companies and world class teams Publishing papers and attending conferences Opportunity to go to networking events, conferences, and seminars Visibility on all the functions at Akaike including sales, pre-sales, lead generation, marketing, and hiring
Core Frontend Fundamentals: Minimum 1-2 years proven experience as a Frontend Developer or similar role Knowledge of front-end languages and libraries (e.g. HTML/CSS, JavaScript, TypeScript, jQuery) Knowledge of CSS frameworks/libraries (e.g., Tailwind CSS, Bootstrap, Material-UI) Understanding of responsive design and mobile-first development Experience with git version control Proficiency with package managers (npm/yarn) Experience with browser developer tools React Specialisation: Minimum 1-2 years of professional experience with ReactJS and its core principles Knowledge of React-based frameworks like Next.js Basic experience with state management tools (e.g., Redux, Context API) Integration & Communication: Experience with web client communication with APIs and WebSockets Understanding of Authentication Workflow concepts Performance & Stack Knowledge: Basic understanding of performance optimisation Familiarity with MERN stack fundamentals Testing & Quality: Basic knowledge of testing frameworks (Jest, React Testing Library)
Senior Data Scientist Experience: 5+ years | Location: Bengaluru (Hybrid) Akaike Technologies is a dynamic and innovative AI-driven company dedicated to building impactful solutions. Our mission is to empower businesses by harnessing the power of data and AI to drive growth, efficiency, and value. We foster a culture of collaboration, creativity, and continuous learning. Experience Pre-Requisite : Having 5 years of experience, of which at least 4 years as relevant experience into Data Science Job Description: We are seeking an experienced and highly skilled Senior Data Scientist to join our team in Bengaluru. This role focuses on driving innovative, large-scale solutions using cutting-edge Classical Machine Learning, PySpark, Spark SQL, and Generative AI. The ideal candidate will possess a blend of deep technical expertise, strong business acumen, effective communication skills, sense of ownership & be motivated towards establishing quantifiable business impact . We require a proven track record in designing, developing, and real-time deploying scalable ML/DL pipelines and LLM Agents in a fast-paced, collaborative environment. Key Responsibilities: Large-Scale Data Handling, PySpark, & Databricks Deployment Efficiently handle and model billions of data points using multi-cluster data processing frameworks ( PySpark , Spark SQL ). Expertise on Databricks/AWS is a must have: Ability to design, write, scale, and monitor end-to-end ML Pipelines on Databricks/AWS. Proven expertise to run and manage Databricks data pipelines in real time for low-latency decision-making. Develop and implement scalable deployment pipelines using Docker and AWS services (ECR, Lambda, Step Functions). Classical Machine Learning Owning the entire workstreams end to end, from use-case identification, to initial designs & POC by building custom machine learning solutions as needed till the business impact calculation of the use-case while ensuring modularity, scalablity, and production-ready codebase. Design and implement custom models, loss functions and be able to handle nuanced conversations of trade offs between various modelling choices. Apply specialized modeling for marketing scenarios (Targeting, Budget optimisation, Churn) and data limitations (Sparse/incomplete labels, Single class learning). Generative AI & Large Language Models : Practical experience in building LLM-ready Data Management layers for large-scale structured and unstructured data. Apply foundational understanding of LLM Agents and multi-agent systems (e.g., Agent-Critique, ReACT , Agent Collaboration), advanced prompting, LLM evaluation, confidence grading , and Human-in-the-Loop systems . Team Mentorship and Stakeholder Management. Mentor, support and manage a cross-functional team. Bring in structure across the client engagement - both internally as well as externally, with effective and top down communication. Act as the primary contact for clients, translating complex data needs into tasks. Present data insights to stakeholders, highlighting business impacts. Collaborate with cross-functional teams to align AI initiatives with business goals. Must Have Technical Skills Data Pipelines, PySpark & Databricks Proficiency in Python and its data science ecosystem (NumPy, Pandas, Dask, PySpark ) for large-scale data processing . Expert, hands-on experience with Databricks for MLOps, pipeline orchestration, and real-time deployment. Ability to perform effective feature engineering by understanding complex business objectives. Core Machine Learning & Deep Learning In-depth knowledge of Classical ML : Tree Based Models, GLMs, Clustering Models etc. Deep Learning : ANN, 1D/2D/3D Convolutional Neural Networks (ConvNets) , LSTMs, Transformer models. Strong proficiency in PU learning , single-class learning , representation learning , alongside traditional ML approaches. Advanced understanding and application of model explainability techniques (e.g., SHAP, LIME). Hands-on experience with ML/DL libraries such as Scikit-learn, TensorFlow/Keras, and PyTorch . Others Experience utilizing large-scale language models (GPT-4, Mistral, Llama, Claude) through prompt engineering and custom finetuning . Code Versioning Systems : Github, Git Must Have Soft Skills Communication Skills : Of all the things, this is perhaps the most important soft skill for us, you must be able toCapture the attention of your audience - usually in client calls Succinctly put across your ideas to your team members Bring clarity of thought and next steps to the table and present it well. Presentation Skills : Be able to visually present your ideas on a white board Be able to build compelling presentation for CxOs in a top down manner with an angle of business impact in mind. Problem Solving Skills : Be able to leverage various internal tools, client datasets to craft a problem in shortest time possible. Be able to make trade-offs keeping the timelines in mind. Relevant to Have Background in Pharma Domain. Knowledge of Recommender Systems & Next Best Action Systems. Benefits and Perks Competitive ESOP grants. Support for publishing papers and attending academic/industry conferences. High visibility across all functions at Akaike.