254 Ml Algorithms Jobs - Page 3

Responsibilities: * Lead AI strategy development & implementation * Collaborate with cross-functional teams on ML initiatives * Design, architect & optimize AI solutions using latest techs Work Location - Remote Clients - Saudi Arabia Health insurance Annual bonus

Ml algorithms:RegressionClassificationClusteringDeep learningPytorch or tensorflowPythonAny one cloud service and deployment of the models

As a versatile and experienced Software Engineer, you will utilize your strong programming skills in C++, Java, Python, and JavaScript/TypeScript, along with a foundational understanding of machine learning (ML) and natural language processing (NLP). Your passion for software development, data science, and AI-driven applications will drive you to contribute to building scalable, intelligent, and user-friendly web applications. You will design, develop, and maintain web applications using JavaScript, TypeScript, and Python. Additionally, you will build and optimize backend services and APIs using Java, C++, or Python while applying multi-paradigm programming principles to solve complex engineering problems. Collaboration with data scientists to integrate ML/NLP models into production systems will be a key aspect of your role. In this position, you will conduct data analysis, data processing, and performance tuning for AI-driven features. Your involvement in the full software development life cycle (SDLC), including design, development, testing, and deployment, will be crucial. Staying updated with emerging technologies in AI, agentic systems, and web development will also be expected from you. To be successful in this role, you should hold a Bachelors or Masters degree in Computer Science, Information Technology, or a related field, along with 6-9 years of experience in software development with a focus on AI, data science, or web applications. Proficiency in programming languages such as C++, Java, Python, JavaScript, and TypeScript, as well as web development skills including HTML, CSS, and modern JS frameworks (React, Angular, etc.), is required. Knowledge of ML algorithms, NLP concepts, and data analysis is essential, and familiarity with Meta Language (Standard ML) or other functional programming paradigms would be a plus. A strong understanding of software engineering principles, version control, and agile methodologies is necessary. Preferred qualifications for this role include experience with agentic AI systems or AI research, exposure to cloud platforms (AWS, GCP, Azure) and DevOps practices, as well as contributions to open-source projects or research publications in AI/ML.,

As a Senior Data Scientist with 5+ years of experience, you will play a crucial role in our team based in Indore/Pune. Your responsibilities will involve designing and implementing models, extracting insights from data, and interpreting complex data structures to facilitate business decision-making. You should have a strong background in Machine Learning areas such as Natural Language Processing, Machine Vision, Time Series, etc. Your expertise should extend to Model Tuning, Model Validation, Supervised and Unsupervised Learning. Additionally, hands-on experience with model development, data preparation, and deployment of models for training and inference is essential. Proficiency in descriptive and inferential statistics, hypothesis testing, and data analysis and exploration are key skills required for this role. You should be adept at developing code that enables reproducible data analysis. Familiarity with AWS services like Sagemaker, Lambda, Glue, Step Functions, and EC2 is expected. Knowledge of data science code development and deployment IDEs such as Databricks, Anaconda distribution, and similar tools is essential. You should also possess expertise in ML algorithms related to time-series, natural language processing, optimization, object detection, topic modeling, clustering, and regression analysis. Your skills should include proficiency in Hive/Impala, Spark, Python, Pandas, Keras, SKLearn, StatsModels, Tensorflow, and PyTorch. Experience with end-to-end model deployment and production for at least 1 year is required. Familiarity with Model Deployment in Azure ML platform, Anaconda Enterprise, or AWS Sagemaker is preferred. Basic knowledge of deep learning algorithms like MaskedCNN, YOLO, and visualization and analytics/reporting tools such as Power BI, Tableau, Alteryx would be advantageous for this role.,

Role & responsibilities Build and deploy production-grade ML pipelines for varied use cases across operations, manufacturing, supply chain, and more Work hands-on in designing, training, and fine-tuning models across traditional ML, deep learning, and GenAI (LLMs, diffusion models, etc.) Collaborate with data scientists to transform exploratory notebooks into scalable, maintainable, and monitored deployments Implement CI/CD pipelines, version control, and experiment tracking using tools like MLflow, DVC, or similar Do shadow deployment and A/B testing of production models Partner with data engineers to build data pipelines that support real-time or batch model inference Ensure high availability, performance, and observability of deployed ML solutions using MLOps best practices Conduct code reviews, performance tuning, and contribute to ML infrastructure improvements Support the end-to-end lifecycle of ML products Contribute to knowledge sharing, reusable component development, and internal upskilling initiatives Preferred candidate profile Bachelor's in Computer Science, Engineering, Data Science, or related field. Masters degree preferred 4–6 years of experience in developing and deploying machine learning models, with significant exposure to MLOps practices Experience in implementing and productionizing Generative AI applications using LLMs (e.g., OpenAI, HuggingFace, LangChain, RAG architectures) Strong programming skills in Python; familiarity with ML libraries such as scikit-learn, TensorFlow, PyTorch Hands-on experience with tools like MLflow, Docker, Kubernetes, FastAPI/Flask, Airflow, Git, and cloud platforms (Azure/AWS) Solid understanding of software engineering fundamentals and DevOps/MLOps workflows Exposure to at least 2-3 industry domains (energy, manufacturing, finance, etc.) preferred Excellent problem-solving skills, ownership mindset, and ability to work in agile cross-functional teams

Designation- Instructor- Data Science/Machine Learning Location- Bangalore Salary Range- 8LPA- 10LPA Key Responsibilities: Live Instruction: Teach core DS/ML topics (supervised & unsupervised learning, deep learning, model evaluation, MLOps) through interactive sessions. Curriculum Collaboration: Work with content teams to design labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based DS/ML services. Learner Support: Field technical questions, debug code, review notebooks, and provide actionable feedback on assignments and projects. Project Mentorship: Guide capstone worke.g., image/video models, NLP pipelines, recommendation systems, and deployment pipelines. Continuous Improvement: Analyze learner performance data to refine modules, introduce emerging topics (e.g., transformers, generative models), and enhance assessments. Requirements: 3+ years of industry or academic experience in DS/ML or AI. Minimum Masters degree in DS or ML &AI or CS specialization in AI & DS/ML Proficiency in Python and ML frameworks (scikit-learn, TensorFlow or PyTorch). Familiarity with MLOps tools (Docker, Kubernetes, MLflow) and cloud ML services (AWS SageMaker, GCP AI Platform, or Azure ML). Excellent presentation and mentoring skills in live and small-group settings. Prior teaching or edtech experience is a strong plus.

We are seeking a highly skilled and experienced Senior Machine Learning Developer to join our dynamic team. The ideal candidate will have a strong background in machine learning (ML), deep learning (DL), and large language models (LLMs). They should be proficient in Python and possess expertise in conventional ML algorithms, DL techniques, LLM and prompt engineering Responsibilities: 1. Machine Learning Development: Design, develop, and implement ML models and algorithms to solve complex problems. Work on various ML projects involving data preprocessing, feature engineering, model selection, and evaluation. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 2. Deep Learning: Develop and deploy DL models using frameworks like TensorFlow, PyTorch, or Keras. Optimize DL models for performance and scalability. Stay updated with the latest advancements in DL and apply them to improve existing models. 3. Large Language Models: Develop and fine-tune large language models for various NLP tasks. Implement prompt engineering techniques to enhance model performance and accuracy. Experiment with state-of-the-art LLM architectures and methodologies. 4. Software Development: Write clean, maintainable, and efficient code in Python. Conduct code reviews and ensure adherence to best practices and coding standards. Implement version control using Git and collaborate with the development team through GitHub or similar platforms. 5. Data Handling: Work with large datasets and perform data preprocessing, cleaning, and augmentation. Implement data pipelines and ensure data integrity and quality throughout the ML lifecycle. 6. Research and Innovation: Stay abreast of the latest research and developments in the field of ML, DL, and LLMs. Propose and explore innovative solutions to improve model performance and address new challenges. 7. Mentorship: Mentor and guide junior ML engineers and team members. Share knowledge and best practices within the team to foster a collaborative and learning environment. Desire Skills 1. RAG-Based Domain-Specific Q&A System Should have built a chatbot that answers questions from custom documents (e.g., legal contracts, company policies) using LLM + Vector DB (RAG). 2. Agentic AI Workflow Assistant (Multi-Step Planner) Should have created an LLM agent that performs tasks like Book my flight + hotel + calendar block via API tools using LangGraph or AutoGen. 3. Multimodal RAG for Image + Text Search Worked on system that allows users to ask questions like Find me the slide where person X talks about success in life in a YouTube video or PDF deck. 4. Document Parsing Using OCR + Transformers Extract structured data from messy PDFs using Tesseract + LayoutLM or Donut

Hands-on experience of deployment of models on Snowflake, and writing stored procedures for the same, OR Hands-on experience with Cortex AI and its frameworks. Experience in doing indexing, parsing, & Document AI within Cortex. Required Candidate profile Experience in Snowflake data platform and infrastructure Snow-park should be known, Data Science theoretical or DS Candidates should be only from Tamil Nadu

Project Overview The candidate will be working on the Model Development as a Service (MDaaS) initiative, Which focuses on scaling machine learning techniques for exception classification, early warning signals, Data quality control, model surveillance, and missing value imputation. The project involves applying advanced ML techniques to large datasets and integrating them into financial analytics systems. Key Responsibilities Set up Data Pipelines: Configure storage in cloud-based compute environments and repositories for large-scale data ingestion and processing. Develop and Optimize Machine Learning Models: Implement Machine Learning for Exception Classification (MLEC) to classify financial exceptions. Conduct Missing Value Imputation using statistical and ML-based techniques. Develop Early Warning Signals for detecting anomalies in multi-variate/univariate time-series financial data. Build Model Surveillance frameworks to monitor financial models. Apply Unsupervised Clustering techniques for market segmentation in securities lending. Develop Advanced Data Quality Control frameworks using TensorFlow-based validation techniques. Experimentation & Validation: Evaluate ML algorithms using cross-validation and performance metrics. Implement data science best practices and document findings. Data Quality and Governance: Develop QC mechanisms to ensure high-quality data processing and model outputs. Required Skillset Strong expertise in Machine Learning & AI (Supervised & Unsupervised Learning). Proficiency in Python, TensorFlow, SQL, and Jupyter Notebooks. Deep understanding of time-series modeling, anomaly detection, and risk analytics. Experience with big data processing and financial data pipelines. Ability to deploy scalable ML models in a cloud environment. Deliverables & Timeline Machine Learning for Exception Classification (MLEC): Working codes & documentation Missing Value Imputation: Implementation & validation reports Early Warning Signals: Data onboarding & anomaly detection models Model Surveillance: Fully documented monitoring framework Securities Lending: Clustering algorithms for financial markets Advanced Data QC: Development of a general-purpose QC library Preferred Qualifications Prior experience in investment banking, asset management, or trading desks. Strong foundation in quantitative finance and financial modeling. Hands-on experience with TensorFlow, PyTorch, and AWS/GCP AI services

Technical Skills- Programming Languages : Expertise in Python and R for data analysis and algorithm development. Familiarity with Java, C++, or Julia for system-level programming and optimization. ML Frameworks & Libraries : Proficiency in TensorFlow, PyTorch, Keras, Scikit-learn, and other ML libraries. Hands-on experience with XGBoost, LightGBM, or CatBoost for boosting techniques. Mathematical Foundations : Strong understanding of linear algebra, calculus, probability, and statistics. Data Processing : Experience with tools like Pandas, NumPy, or Dask for handling and transforming datasets. Knowledge of ETL (Extract, Transform, Load) processes. Model Development : Skills in designing, training, and fine-tuning machine learning models. Expertise in hyperparameter tuning and cross-validation techniques. Big Data Technologies : Familiarity with Apache Spark, Hadoop, or Snowflake for processing large-scale datasets. Cloud Platforms : Proficiency with AWS SageMaker, Google AI Platform, or Azure Machine Learning for deploying and managing ML models. Database Management : Knowledge of SQL for structured data querying and NoSQL for unstructured data handling (e.g., MongoDB, Cassandra). Version Control & Workflow : Use of Git/GitHub for collaborative work and model version control. Familiarity with Jupyter Notebooks or IDEs for experimentation. Deployment : Experience in deploying ML models using Docker and Kubernetes. Knowledge of integrating models with APIs and CI/CD pipelines. Must Have- Strong Programming Skills: Proficiency in Python, R, Java, or C++ for implementing ML algorithms. Mathematics and Statistics : Solid understanding of linear algebra, calculus, probability, and statistics. Machine Learning Algorithms : Expertise in supervised, unsupervised, and reinforcement learning techniques. Data Preprocessing : Ability to clean, preprocess, and transform raw data into usable formats. Model Evaluation : Knowledge of metrics like accuracy, precision, recall, F1-score, and ROC-AUC for evaluating models. Deep Learning : Familiarity with neural networks, CNNs, RNNs, and frameworks like TensorFlow or PyTorch. Problem-Solving Skills : Analytical thinking to design and implement ML solutions for real-world problems.

The Specialized Analytics Sr. Manager accomplishes results through the management of professional team(s) and department(s). You integrate subject matter and industry expertise within a defined area, contributing to standards around which others will operate. You require an in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. Basic commercial awareness is necessary for this role. You must possess developed communication and diplomacy skills to guide, influence, and convince others, particularly colleagues in other areas and occasional external customers. You hold responsibility for the volume, quality, timeliness, and delivery of end results of an area. You may also be responsible for planning, budgeting, and policy formulation within your area of expertise. You are involved in short-term resource planning and have full management responsibility for a team, which may include management of people, budget and planning, performance evaluations, compensation, hiring, disciplinary actions, terminations, and budget approval. Responsibilities include working with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies. You identify and compile data sets using various tools (e.g. SQL, Access, Python) to predict, improve, and measure the success of key business outcomes. You are responsible for documenting data requirements, data collection/processing/cleaning, and exploratory data analysis, which may involve utilizing statistical models/algorithms and data visualization techniques. Incumbents in this role may often be referred to as Data Scientists with a good understanding and implementation of AI ML algorithms. Specialization in marketing, risk, digital, and AML fields is possible. You must appropriately assess risk when making business decisions, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets by ensuring compliance with applicable laws, rules, and regulations, adhering to Policy, applying sound ethical judgment, and effectively supervising the activity of others. Qualifications required for this role include 12-14 years of experience, financial/business analysis and/or credit/risk analysis capabilities with the ability to impact key business drivers through a disciplined analytic process, providing analytic thought leadership, effective project planning management, in-depth understanding of various financial service business models, expert knowledge of advanced statistical techniques, and creative problem-solving skills. Education: A Bachelor's/University degree is required, with a Master's degree preferred. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.,

Designation- Instructor- Data Science/Machine Learning Location- Mumbai- Marol/ Bangalore-AMR Tech Park (Hybrid) Salary Range- 10LPA- 12LPA Weekoffs - Wednesday & Thursday or Thursday & Friday. Key Responsibilities: Live Instruction: Teach core DS/ML topics (supervised & unsupervised learning, deep learning, model evaluation, MLOps) through interactive sessions. Curriculum Collaboration: Work with content teams to design labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based DS/ML services. Learner Support: Field technical questions, debug code, review notebooks, and provide actionable feedback on assignments and projects. Project Mentorship: Guide capstone worke.g., image/video models, NLP pipelines, recommendation systems, and deployment pipelines. Continuous Improvement: Analyze learner performance data to refine modules, introduce emerging topics (e.g., transformers, generative models), and enhance assessments. Requirements: 3+ years of industry or academic experience in DS/ML or AI. Minimum Masters degree in DS or ML &AI or CS specialization in AI & DS/ML Proficiency in Python and ML frameworks (scikit-learn, TensorFlow or PyTorch). Familiarity with MLOps tools (Docker, Kubernetes, MLflow) and cloud ML services (AWS SageMaker, GCP AI Platform, or Azure ML). Excellent presentation and mentoring skills in live and small-group settings. Prior teaching or edtech experience is a strong plus.

Job Summary: We are looking for an innovative and technically proficient AI Solution Designer to conceptualize, architect, and validate AI-based solutions, with a strong emphasis on Proof of Concept (PoC) development. The ideal candidate will translate business needs into AI-powered solutions, design architecture, guide development teams, and demonstrate feasibility through rapid prototyping and PoCs. Key Responsibilities: 1. Solution Design & Architecture Translate business problems into AI/ML-driven solution designs. Define scalable AI/ML solution architectures using appropriate models, frameworks, APIs, and data pipelines. Collaborate with data engineers, ML engineers, and business stakeholders to ensure alignment. 2. Proof of Concept Development Design and develop PoCs to validate feasibility, performance, and business value of proposed AI solutions. Rapidly prototype AI features using tools such as Python, TensorFlow, PyTorch, Hugging Face, OpenAI APIs, LangChain, etc. Document PoC findings, results, and recommendations for full-scale implementation. 3. Technical Analysis & Documentation Conduct deep technical evaluations of AI/ML models, including accuracy, performance, and risk. Create detailed technical documentation including solution architecture diagrams, data flow diagrams, and API specs. Present PoC results and technical recommendations to stakeholders and executive teams. 4. Stakeholder Engagement Engage with cross-functional teams (Product, IT, Business, and Data teams) to understand needs and gather requirements. Act as a bridge between data science, engineering, and business teams to ensure successful delivery of AI initiatives. 5. Innovation & Best Practices Stay updated with the latest trends in AI, including LLMs, Generative AI, and AutoML. Recommend tools, frameworks, and platforms that can accelerate PoC and solution delivery. Promote reusability and modular architecture principles for AI solution components. Design, develop, and deploy conversational AI solutions using various tools such as Wren AI, Voice Flow, and ML algorithms. Collaborate with cross-functional teams to integrate AI models into existing systems and applications. Develop generative AI models for text generation, image processing, and other forms of data manipulation. Troubleshoot issues related to AI model performance and optimize system architecture for improved efficiency. Required Skills & Experience: Proven experience in designing AI/ML solutions and delivering PoCs in a business context. Strong programming experience with Python; exposure to ML libraries like Scikit-learn, TensorFlow, PyTorch. Experience with cloud platforms (AWS, Azure, GCP) and AI services (SageMaker, Azure ML, Vertex AI). Hands-on with APIs and frameworks like OpenAI, LangChain, FastAPI, Flask. Familiarity with MLOps tools (MLflow, DVC, Kubeflow) is a plus. Strong problem-solving, analytical, and architectural thinking abilities. Excellent communication and stakeholder management skills. Preferred Qualifications: Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field. Certifications in AI/ML technologies or cloud platforms. Experience with enterprise AI systems or AI product development lifecycle. 3-6 years of experience in Conversational AI development or a related field. Strong understanding of AIMl, Python programming language, TensorFlow/PyTorch machine learning frameworks. Experience with natural language processing (NLP) techniques including large language models like BERT.

You have an exciting opportunity to join KPMG in India as a Data Science Manager/Senior Manager based in Gurgaon with 9-16 years of experience. In this role, you will lead AI/ML initiatives, drive GenAI strategy, architect scalable solutions, mentor teams, collaborate with stakeholders, and ensure responsible AI practices. Your responsibilities will include leading AI/ML projects from concept to production, guiding technical reviews, promoting best practices, and translating business needs into data-driven solutions. You should have 9+ years of experience in data science/software engineering, proficiency in Python, SQL, Docker, and cloud platforms, as well as hands-on experience with ML algorithms, feature engineering, and model deployment. KPMG in India is a reputable professional services firm known for its industry-focused and technology-enabled services. The firm operates from 14 cities across the country and is committed to quality, excellence, growth, innovation, and collaboration. If you are a data science professional with strong communication, leadership, and project management skills, this role might be the perfect fit for you. KPMG in India is an equal opportunity employer. Join us in our journey of providing informed and timely business advice to clients, helping them mitigate risks and seize opportunities in a rapidly evolving industry landscape.,

Job Title: Senior Data Scientist Location: Kolkata/Bangalore (Remote/Hybrid options available) Company: Inxite-out Job Overview: We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. This role will involve leading data science initiatives, developing advanced machine learning models, and providing actionable insights for business strategies. The ideal candidate will have a strong background in data science, statistical analysis, and business problem-solving, with a passion for delivering high-quality solutions. Key Responsibilities & Skills: Lead the development of advanced predictive and prescriptive models using machine learning, forecasting and other statistical methods Working knowledge of regression, classification, clustering, association algorithms and model optimization techniques Work closely with business stakeholders to understand requirements and translate them into data science solutions Design and implement end-to-end data science workflows, including data collection, preprocessing, feature engineering, model building, and evaluation Collaborate with cross-functional teams to deploy and integrate models into production environments Perform model validation, fine-tuning, and optimization to ensure accuracy and scalability Identify and investigate anomalies or unexpected behaviours in model outputs Build REST APIs using Fast/Flask, move models into production, ensure expected accuracies and throughput for the model Mentor and guide junior data scientists, providing technical expertise and leadership Qualifications: Bachelors or master’s in computer science, Statistics, Mathematics, Engineering, or a related field 4+ years of experience in data science or a similar analytical role, with a proven track record of delivering impactful projects Strong proficiency in python with experience in libraries like pandas, NumPy, Spacy, TensorFlow, Scikit-learn etc. Experience in working with cloud platforms (Azure), Databricks, PySpark Strong theoretical and practical knowledge of ML model development, hyper-parameter tuning, and production deployment Solid understanding of statistical analysis, data mining, feature engineering Strong problem-solving skills with the ability to think critically and adapt to complex business challenges Excellent communication skills with the ability to explain complex data-driven concepts to a non-technical audience Experience in leading and mentoring junior team members. Strong understanding of MLOps- lifecycle of a machine learning model Additional Skills (good to have): Knowledge of deep learning, CNN, MLP, OpenCV etc. Working knowledge of NLP/GenAI based solutions Experience working with SAP (S/4 HANA, BW) is a plus

Brief About Fractal Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand s and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual storytelling. Role & Responsibilities: Experience of working on end-to-end data science pipeline with the ability to clearly design efficient data models, training data samples, training pipelines and inference pipelines to ensure reproducibility. Strong experience in evaluating different types of AI/ML outputs and models (recommender systems, similarity scoring, classification and regression). Should be able to break down complex business problems into sub-tasks that can be solved with AI/ML to enable decision making at scale. Should have good grasp on statistical concepts and empirical methods that drive post-modeling decisions like sorting, ranking , selection etc. Should have good experience in converting PoCs and experimented models into production grade AIML systems , have the ability to collaborate effectively with ML engineering and MLOPs teams to take AI/ML models to production, build and serve models through APIs and support integration of AI/ML models into web-aps. Ability to lead mid-sized teams, plan project tracks around AI/ML and data science and balance delegation and hands-on development. Experience in taking first principles approach to solving data science problems, understand and communicate data requirements to data engineering teams and explain model outputs to business users. Ability and experience in engaging business users to understand requirements and translate them into technical data science problems. Be exceptional at communicating and translating model algorithms and their outputs to non-technical users and stakeholders. Fluent in agile ways of working and agile project management practices. Should be comfortable to create efficient user stories, and other agile project artifacts.

As an Artificial Intelligence Specialist at Gen AI, you will be responsible for driving customer conversations, understanding customer requirements, creating Gen AI solution architectures, and developing customer proposals and RFP responses. You will guide solution engineers in creating Gen AI POCs and solutions for various industry verticals. Your role will involve staying updated on the latest technology developments, industry best practices, and incorporating them into Gen AI applications. Additionally, you will design and deploy Proof of Concepts (POCs) and Points of View (POVs) across different industry verticals to showcase the potential of Generative AI applications. To qualify for this role, you should have at least 8 years of experience in software development, with a minimum of 3 years of experience in Generative AI solution development. A bachelor's degree or higher in Computer Science, Software Engineering, or related fields is required. You should be adept at critical thinking, logical reasoning, and have a strong ability to learn new industry domains quickly. Being a team player who can deliver under pressure is essential. Furthermore, you should have experience with cloud technologies such as Azure, AWS, or GCP, as well as a good understanding of NVIDIA or similar technologies. A solid appreciation of AI/ML concepts and sound design principles is necessary for this role. In terms of required skills, you should be extremely dynamic and enthusiastic about technology. Development experience with languages like C++, Java, JavaScript, HTML, C#, Python, or node.js is preferred. You should be able to adapt quickly to new challenges and evolving technology stacks. Excellent written and verbal communication skills in English are essential, along with strong analytical and critical thinking abilities. A customer-focused attitude, initiative-taking, self-driven nature, and the ability to learn quickly are also important qualities for this role. Knowledge of Python, ML Algorithms, Statistics, source code maintenance, versioning tools, Object-Oriented Programming Concepts, debugging, and analytical skills is required. Preferred skills for this position include at least 5 years of experience in ML development and MLOps. Strong programming skills in Python, knowledge of ML, Data, and API libraries, and expertise in creating end-to-end data pipelines are advantageous. Experience with ML models, ModelOps/MLOps, AutoML, AI Ethics, Trust, Explainable AI, and popular ML frameworks like SparkML, TensorFlow, scikit-learn, XGBoost, H2O, etc., is beneficial. Familiarity with working in cloud environments (AWS, Azure, GCP) or containerized environments (Mesos, Kubernetes), interest in understanding functional and industry business challenges, and knowledge of IT industry and GenAI use cases in insurance processes are preferred. Expertise in Big Data and Data Modeling is also desirable for this role.,

As an AI & Data Science Engineer Fresher at Twite AI Technologies, you will have the opportunity to work in the vibrant city of Chennai, either in a hybrid or on-site capacity. Twite AI Technologies is a rapidly expanding AI-powered solutions provider that collaborates with leading multinational corporations in India and globally. Our focus lies in developing cutting-edge AI bots and automation tools, leveraging Natural Language Processing, Machine Learning, and Deep Learning technologies. In this role, you will be an integral part of our team, contributing to the creation, training, and deployment of intelligent bots tailored for various industries. Your responsibilities will include assisting in the development of AI-powered chatbots and automation tools, working on data preprocessing, model training, and performance optimization, collaborating with senior AI engineers on scalable ML/NLP solutions, implementing AI algorithms for bot logic, and testing and debugging bots for real-world applications. To qualify for this position, you should hold a degree in B.E./B.Tech./M.E./M.Tech./M.Sc in CSE, IT, AI, Data Science, or related fields, with a preference for 2024 or 2025 pass-outs. Proficiency in Python, ML algorithms, and basic NLP concepts is essential, and any academic or project experience in AI/ML would be advantageous. Strong analytical thinking skills and a keen interest in learning about cutting-edge AI tools are highly valued. Desirable skills include knowledge of tools such as TensorFlow, PyTorch, OpenAI, Hugging Face, familiarity with chatbot frameworks or LLMs like Rasa, Langchain, OpenAI GPT, and basic understanding of REST APIs, version control (Git), and cloud platforms. At Twite AI Technologies, we offer you exposure to real-world AI projects and product development, mentorship from industry experts, an innovative and fast-paced work environment, and the chance to contribute to impactful AI products. This is a full-time position with benefits including health insurance and Provident Fund, based in Chennai, with an expected start date of 21/07/2025. Join us at Twite AI Technologies and be part of our dynamic team driving the future of AI innovation!,

Desired Qualification & Expertise 2+ years of hands on experience in building Machine Learning models Masters (MTech/ME/MSC) in Computer Science/Information Technology or other quantitative disciplines from Tier 1/ Tier 2 institutes (IIT, IIIT, NIT, BITS, or other premiere institutions) End to end deployment of supervised/unsupervised ML algorithms -Logistic Regression / kNN /KMeans/Random Forest / SVM/XG Boost/Nave Bias/Time series forecasting etc. Excellent programming skills in Python is mandatory Hands-on experience on R is good to have Experience in working with cloud infrastructure and high-performance computing (GPU/TPU) be a plus How do you know that you are fit for this role? •You have a hands-on experience using python for data science projects •YouhaveexecutionknowledgeofMachineLearning/Deeplearningalgorithmsusing PySpark, Scikit-learn, and Tensor Flow etc. •YouhavebeenpartofateamdevelopingAI-MachineLearningtechnologieswitha strongbackgroundinadvancedmathematicalconceptsandequallygood understanding of algorithms. •You can work with a lean team internally, and you are a self-starter.

Responsibilities: * Implement parsers for data extraction * Use AI/ML to enhance profile library * Use DPI to identify useful data for classification * Collect data through probes for device classification * Collaborate w/ cross-func teams for AI/ML Provident fund Health insurance

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether its medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity . As a Staff Software Engineer – Fullstack (AI/ML) , you will play a pivotal role in designing and developing scalable, intelligent, and user-centric applications that integrate AI/ML capabilities into real-world logistics solutions. You’ll work at the intersection of data science and product engineering, contributing to strategic technical decisions and mentoring teams to build robust, high-performing systems. What You’ll Do Design, develop, and deploy end-to-end fullstack applications — frontend (React/Angular) and backend (Java, Python, Node.js). Lead technical architecture and system design for complex, AI/ML-enabled product features. Collaborate closely with Data Science teams to integrate ML models into production environments using scalable MLOps practices. Build high-availability microservices and data pipelines with clean, maintainable code. Partner with Product, UX, and Engineering leadership to align on technical feasibility, scalability, and product vision. Ensure quality, security, and performance through code reviews, testing strategies, and CI/CD automation. Mentor junior engineers and contribute to a strong engineering culture. Stay current with emerging trends in AI/ML, cloud infrastructure, and scalable system design. What You’ll Bring Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. Experience: 8 -12 yrs years of software development experience with a strong foundation in fullstack engineering and distributed systems. Proficient in backend technologies like Java, Python, Node.js, and frontend frameworks such as React or Angular. Proven experience working on AI/ML-driven products — understanding of model integration, versioning, inference performance, and lifecycle management. Experience building scalable solutions on cloud platforms (AWS, GCP, or Azure). Strong knowledge of RESTful APIs, microservices, and event-driven architectures (Kafka, etc.). Experience with DevOps practices, CI/CD, Docker, Kubernetes, and infrastructure automation. Ability to work in cross-functional, agile teams across global time zones. Strong communication, leadership, and decision-making skills. Nice to Have Domain knowledge in logistics, supply chain, or transportation systems. Familiarity with MLOps tools like MLflow, SageMaker, TensorFlow Serving, or similar. Exposure to real-time data processing frameworks (e.g., Apache Spark, Flink). Contributions to open-source projects or technical blogs. Who we are: FourKites®, the leader in AI-driven supply chain transformation for global enterprises and pioneer of real-time visibility, turns supply chain data into automated action. FourKites’ Intelligent Control Tower™ breaks down enterprise silos by creating a real-time digital twin of orders, shipments, inventory and assets. This comprehensive view, combined with AI-powered digital workers, enables companies to prevent disruptions, automate routine tasks, and optimize performance across As the leader in AI-driven supply chain transformation, FourKites pioneered the Intelligent Control Tower™ powered by the world’s largest real-time visibility network. Our platform creates comprehensive digital twins of your supply chain with AI-powered digital workers to automate resolution, improve collaboration and drive outcomes across all stakeholders. Unlike traditional control towers, we enable true real-time execution and intelligent fulfillment, transforming both your supply and customer Benefits Medical benefits start on first day of employment 36 PTO days( Sick, Casual and Earned) , 5 recharge days, 2 volunteer days Home Office setups and Technology reimbursement Lifestyle & Family benefits Annual Swags/ Festive Swags Ongoing learning & development opportunities ( Professional development program, Toast Master club etc.)

About Apexon: Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.Apexon brings together distinct core competencies in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. We enable #HumanFirstDigital Key Responsibilities: Design, develop, and maintain CI/CD pipelines for ML models and data workflows. Collaborate with data science teams to productionize models using tools like MLflow, Kubeflow, or SageMaker. Automate training, validation, testing, and deployment of machine learning models. Monitor model performance, drift, and retraining needs. Ensure version control of datasets, code, and model artifacts. Implement model governance, audit trails, and reproducibility. Optimize model serving infrastructure (REST APIs, batch/streaming inference). Integrate ML solutions with cloud services (AWS, Azure, GCP). Ensure security, compliance, and reliability of ML systems. Required Skills and Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. 4+ years of experience in MLOps, DevOps, or ML engineering roles. Strong experience with ML pipeline tools (MLflow, Kubeflow, TFX, SageMaker Pipelines). Proficiency in containerization and orchestration tools (Docker, Kubernetes, Airflow). Strong Python coding skills and familiarity with ML libraries (scikit-learn, TensorFlow, PyTorch). Experience with cloud platforms (AWS, Azure, GCP) and their ML services. Knowledge of CI/CD tools (GitLab CI/CD, Jenkins, GitHub Actions). Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK, Sentry). Understanding of data versioning (DVC, LakeFS) and feature stores (Feast, Tecton). Strong grasp of model testing, validation, and monitoring in production environments. Our Commitment to Diversity & Inclusion: Did you know that Apexon has been Certified™ by Great Place To Work®, the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK.Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy (apexon.com) Our Perks and Benefits: Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance. We also offer: Group Health Insurance covering family of 4 Term Insurance and Accident Insurance Paid Holidays & Earned Leaves Paid Parental LeaveoLearning & Career Development Employee Wellness

Job Role: As a Senior Data Scientist, you will be responsible for designing, developing and productionizing of ML-driven solutions to business problems. You will work closely with local and onshore team of data scientists and stakeholders to understand their needs and pain points, and then translate those into actionable data science projects. Your primary focus will be statistical data analyses and helping build high-quality predictive models integrated with our products. The ideal candidate is an experienced data wrangler with a deep understanding of data science principles and a proven track record of delivering ML-driven solutions. S/he will effectively communicate complex technical concepts to technical and non-technical audiences. Key Responsibilities: Plan, productionize, and document scalable Data Science solutions Understand the business problem from stakeholders and convert it to actionable tasks Driven to create in-depth Exploratory Data Analysis and Feature Engineering; experienced with ML Ops Adept at standard and latest ML algorithms and Model explainability. Knowledge about causal inference is a great to-have Help mentor and guide Data Scientists Qualifications - Internal Key Requirements: Experience : At least 8 years of relevant experience Education: Bachelors or masters degree in computer science or mathematics, Statistics or a related field. PhD with lesser experience is welcome. Required Skills: Proficient in ML models across supervised and unsupervised learning, along with knowledge of Deep Learning models using TensorFlow / PyTorch Experienced in Natural Language Processing with focus on Transformer models Experienced in using Generative AI. At least one project implementation is expected Knowledge in MLOps is recommended Extensive coding experience in Python (and R) as well as scripting in SQL Visualization of outputs, using Tableau/ Power BI/ Streamlit, along with crisp communication Strong ability to assess the business problem and suggest applicable data science solutions Great at presenting and explaining model results to any kind of audience Personal Attributes: Ability to adapt and work with a distributed team Ability to manage multiple initiatives Ability to work with ambiguous requirements, seek clarity and manage risks. Ability to communicate complex concepts in a simple yet intelligent way.

You are sought after to assume the role of Training Department Head in a rapidly expanding technology-driven services firm located in Kolkata. Your primary objective will be to lead a team of trainers and training managers through the entire training process, from data analysis to training content creation, delivery, and effectiveness assessment. Your profound expertise in training and development, coupled with exceptional leadership skills, will be crucial in ensuring the success of the company's training programs. This pivotal position directly reports to the Chief Delivery Officer. Your responsibilities will encompass developing and executing a holistic training strategy in alignment with the company's objectives, overseeing a team of trainers and training managers, conducting data analysis to pinpoint training needs, collaborating with cross-functional teams to design effective training programs, supervising the creation and upkeep of training materials, organizing train-the-trainer programs for consistent delivery quality, monitoring training effectiveness, continuously enhancing training programs, and staying abreast of the latest AI/ML trends and methodologies. To thrive in this role, you are required to hold a Bachelor's degree in a relevant field, with a master's degree being an added advantage, possess over 15 years of proven experience in training and development, preferably in a tech-focused setting, exhibit strong knowledge of AI/ML algorithms, demonstrate prowess in building and leading high-performing training teams, showcase proficiency in instructional design and adult learning principles, exhibit excellent presentation and communication skills, possess familiarity with training evaluation methods, showcase adept project management and organizational skills, embody a self-motivated and results-oriented mindset, and be adaptable to a fast-paced and dynamic environment.,

Overview: We are looking for a seasoned Solution Architect with strong expertise in the navigation and HD/ADAS mapping domain. The ideal candidate will lead solutioning, innovation, and automation strategy across complex geospatial workflows. Familiarity with AI/ML integration in the map production pipeline is a strong plus. Key Responsibilities: Lead technical solutioning for all navigation-focused projects Design end-to-end automation workflows for HD Maps and ADAS-related data Integrate advanced tools, ML models, and QC gates in map production Architect scalable solutions using navigation data formats (Multinet, NDS, SD/HD, etc.) Drive innovation in smart editing tools, data validation engines, and AI-powered processes Stay current with industry trends like NDS. Live and autonomous driving ecosystems Mentor teams, lead capability building, and conduct knowledge-sharing sessions Required Skills & Experience: 10+ years in Navigation, Automotive Mapping, or LBS Strong understanding of HD/ADAS maps, sensor fusion, localization layers Expertise with Multinet, NDS (Classic & Live), and other map formats Experience in building automation platforms for map production workflows Exposure to AI/ML in geospatial QA or enrichment Working knowledge of routing engines, GIS tools, and version control Strong communication and stakeholder management experience Preferred Qualifications: Bachelors/Master’s in Geoinformatics, Geography, CS, or similar fields Experience with TomTom, HERE, Mapbox, or Tier-1 Automotive clients Familiarity with cloud environments (AWS, Azure) & CI/CD pipelines Knowledge of regulatory frameworks – GDPR, India's Mapping Policy, etc.