Area(s) of responsibility Empowered By Innovation Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities. Role: AI Consultant Location: Bangalore, Pune, Noida Experience: 6-9 years AI Consultant to enhance and apply Birlasoft’s AI Parts Classification tool, generating Product Category and enriching attributes. The role requires AI/ML expertise, industrial parts knowledge, and stakeholder collaboration. Key Responsibilities Analyze Birlasoft’s AI Parts Classification tool and identify gaps Enhance AI/ML models (e.g., NLP, clustering, GenAI) Fine-tune models for accuracy and scalability Validate AI outputs against business requirements, iterating as needed. Work with stakeholders to validate attributes and refine AI outputs. Ensure AI outputs integrate into the project pipeline, applying business rules to prioritize existing values. Document enhancements, processes, and validation insights for reports. Skills And Qualifications 7+ years in AI-driven data classification, ideally in industrial parts/MRO domains. Proven ability to enhance AI/ML tools for business-specific needs. Expertise in AI/ML (NLP, clustering, supervised/unsupervised learning). Experience with AI classification tools and programming (Python/R). Knowledge of industrial standards (e.g., UNSPSC, eClass). Ability to translate business needs into AI classification tasks. Strong stakeholder management and communication skills. Education Bachelor’s/Master’s in Computer Science, Data Science, AI, or related field. AI/ML certification (e.g., TensorFlow, AWS ML) is a plus. Show more Show less

About Beco Beco ( letsbeco.com ) is a fast-growing Mumbai-based consumer-goods company on a mission to replace everyday single-use plastics with planet-friendly, bamboo- and plant-based alternatives. From reusable kitchen towels to biodegradable garbage bags, we make sustainable living convenient, affordable and mainstream. Our founding story began with a Mumbai beach clean-up that opened our eyes to the decades-long life of a single plastic wrapper—sparking our commitment to “Be Eco” every day. Our mission: “To craft, support and drive positive change with sustainable & eco-friendly alternatives—one Beco product at a time.” Backed by marquee climate-focused VCs and now 50 + employees, we are scaling rapidly across India’s top marketplaces, retail chains and D2C channels. Why we’re hiring Sustainability at scale demands operational excellence. As volumes explode, we need data-driven, self-learning systems that eliminate manual grunt work, unlock efficiency and delight customers. You will be the first dedicated AI/ML Engineer at Beco—owning the end-to-end automation roadmap across Finance, Marketing, Operations, Supply Chain and Sales. Responsibilities Partner with functional leaders to translate business pain-points into AI/ML solutions and automation opportunities. Own the complete lifecycle: data discovery, cleaning, feature engineering, model selection, training, evaluation, deployment and monitoring. Build robust data pipelines (SQL/BigQuery, Spark) and APIs to integrate models with ERP, CRM and marketing automation stacks. Stand up CI/CD + MLOps (Docker, Kubernetes, Airflow, MLflow, Vertex AI/SageMaker) for repeatable training and one-click releases. Establish data-quality, drift-detection and responsible-AI practices (bias, transparency, privacy). Mentor analysts & engineers; evangelise a culture of experimentation and “fail-fast” learning—core to Beco’s GSD (“Get Sh#!t Done”) values. Must-have Qualifications 3 + years hands-on experience delivering ML, data-science or intelligent-automation projects in production. Proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL; solid grasp of statistics, experimentation and feature engineering. Experience building and scaling ETL/data pipelines on cloud (GCP, AWS or Azure). Familiarity with modern Gen-AI & NLP stacks (OpenAI, Hugging Face, RAG, vector databases). Track record of collaborating with cross-functional stakeholders and shipping iteratively in an agile environment. Nice-to-haves Exposure to e-commerce or FMCG supply-chain data. Knowledge of finance workflows (Reconciliation, AR/AP, FP&A) or RevOps tooling (HubSpot, Salesforce). Experience with vision models (Detectron2, YOLO) and edge deployment. Contributions to open-source ML projects or published papers/blogs. What Success Looks Like After 1 Year 70 % reduction in manual reporting hours across finance and ops. Forecast accuracy > 85 % at SKU level, slashing stock-outs by 30 %. AI chatbot resolves 60 % of tickets end-to-end, with CSAT > 4.7/5. At least two new data-products launched that directly boost topline or margin. Life at Beco Purpose-driven team obsessed with measurable climate impact. Entrepreneurial, accountable, bold” culture—where winning minds precede outside victories. Show more Show less

Role Overview We are hiring a Technical Lead – AI Security to join our CISO team in Mumbai. This is a critical, hands-on role — ensuring the trustworthiness, resilience, and compliance of AI/ML systems, including large language models (LLMs). You will work at the intersection of cybersecurity and AI, shaping secure testing, understanding secure MLOps/LLMOps workflows, and leading technical implementation of defenses against emerging AI threats. This role requires both strategic vision and strong engineering depth. Key Responsibilities · Lead and operationalize the AI/ML and LLM security roadmap across training, validation, deployment, and runtime to enable AI Security Platform Approach. · Design and implement defenses against threats like adversarial attacks, data poisoning, model inversion, prompt injection, and fine-tuning exploits using industry leading open source and commercial tools. · Build hardened workflows for model security, integrity verification, and auditability in production AI environments. · Leverage AI security tools for scanning, fuzzing, and penetration testing models. · Apply best practices from OWASP Top 10 for ML/LLMs, MITRE ATLAS, NIST AI RMF, and ISO/IEC 42001 to test AI/ML assets. · Ensure AI model security testing framework aligns with internal policy, national regulatory requirements, and global best practices. · Plan and execute security tests for AI/LLM systems, including jailbreaking, RAG hardening, and bias/toxicity validation. Required Skills & Experience · 8+ years in cybersecurity, with at least 3+ years hands-on in AI/ML security or secure MLOps/LLMOps · Proficient in Python, TensorFlow/PyTorch, HuggingFace, LangChain, and common data science libraries · Deep understanding of adversarial ML/LLM, model evaluation under threat conditions, and inference/training-time attack vectors · Experience securing cloud-based AI workloads (AWS, Azure, or GCP) · Familiarity with secure DevOps and CI/CD practices · Strong understanding of AI-specific threat models (MITRE ATLAS) and security benchmarks (OWASP Top 10 for ML/LLMs) · Ability to communicate technical risk clearly to non-technical stakeholders · Ability to guide developers and data scientists to solve the AI Security risks. · Certifications: CISSP, OSCP, GCP ML Security, or relevant AI/ML certificates · Experience with AI security tools or platforms (e.g., model registries, lineage tracking, policy enforcement) · Experience with RAG, LLM-based agents, or agentic workflows · Experience in regulated sectors (finance, public sector) Show more Show less

YOE- 3 to 5 Yrs Location - Pune Role & Responsibilities Agentic AI Development: Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities. Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures. Build negotiation-capable bots with real-time context adaptation and recursive feedback processing. Generative AI & Model Optimization: Fine-t une LLMs/SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.). Apply distillation and quantization for efficient deployment on edge devices. Benchmark LLM/SLM performance on server vs. edge environments for real-time use cases. Speech and Conversational Intelligence: Implement contextual dialogue flows using speech inputs with emotion and intent tracking. Evaluate and deploy advanced Speech-to-Speech (S2S) models for naturalistic voice responses. Work on real-time speaker diarization and multi-turn, multi-party conversation tracking. Voice Biometrics & AI Security: Train and evaluate voice biometric models for secure identity verification. Implement anti-spoofing layers to detect deepfakes, replay attacks, and signal tampering. Ensure compliance with voice data privacy and ethical AI guidelines. Self-Learning & Autonomous Adaptation: Develop frameworks for agents to self-correct and adapt using feedback loops without full retraining. Enable low-footprint learning systems on-device to support personalization on the edge. Ideal Candidate Educational Qualifications: Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience Required: 3–8 years of experience, with a mix of core software development and AI/ML model engineering. Proven hands-on work with Conversational AI, Generative AI, or Multi-Agent Systems. Technical Proficiency: Strong programming in Python, TensorFlow/PyTorch, and model APIs (Hugging Face, LangChain, OpenAI, etc.). Expertise in STT, TTS, S2S, speaker diarization, and speech emotion recognition. LLM fine-tuning, model optimization (quantization, distillation), RAG pipelines. Understanding of agentic frameworks, cognitive architectures, or belief-desire-intention (BDI) models. Familiarity with Edge AI deployment, low-latency model serving, and privacy-compliant data pipelines. Desirable: Exposure to agent-based simulation, reinforcement learning, or behavioralmodeling. Publications, patents, or open-source contributions in conversational AI or GenAI systems. Perks, Benefits and Work Culture Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India. Show more Show less

Organizational Context: Company Name- CIMET CIMET - A Comparison Software Leader Website- www.cimet.com.au Product Link - https://www.econnex.com.au/ LinkedIn- https://www.linkedin.com/company/cimet/about CIMET provides end-to-end comparison and signup of energy, telecommunication, credit cards and other products plans through its online solution in a B2B and B2C environment. It presently caters to more than 40+ Utilities and Financial Service providers and has over 200+ partners. The online comparison market is extremely crowded in Australia, with most comparators providing a light touch directory solution. CIMET saw this as an opportunity and developed a fully integrated online comparison and signup platform. On 15 March 2022, CIMET partnered with iSelect who acquired a 49% stake in CIMET Holdings. Going forward, CIMET will use this investment from iSelect to expand into new products including Credit Cards, Home loans, Car loans, Personal loans, Life Insurance, Health Insurance, Pet Insurance among others. CIMET today has around 200+ team members, across Australia, India and Philippines and will double over the next 2 years. Purpose Of The Position: We are looking for a highly experienced Senior Data Scientist with a deep understanding of AI/ML technologies, including Recommendation Systems, Chatbots, Generative AI, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in applying these technologies to solve real-world problems, working with large datasets, and collaborating with cross-functional teams to deliver innovative data-driven solutions.. Key Responsibilities : · Design, develop, and optimize recommendation systems to enhance user experience and engagement across platforms. · Build and deploy chatbots with advanced NLP capabilities for automating customer interactions and improving business processes. · Lead the development of Generative AI solutions, including content generation and automation. · Research and apply Large Language Models (LLMs) like GPT, BERT, and others to solve business-specific problems and create innovative solutions. · Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability and reliability. · Perform data exploration, analysis, and feature engineering to improve model performance. · Stay updated on the latest advancements in AI and ML technologies, proposing new techniques and tools to enhance our product capabilities. · Mentor junior data scientists and engineers, providing guidance on best practices in AI/ML model development and deployment. · Collaborate with product managers and business stakeholders to translate business goals into AI-driven solutions. · Work on model interpretability, explainability, and ensure models are built in an ethical and responsible manner. Required Skills And Qualifications: · 5+ years of experience in data science or machine learning, with a focus on building and deploying AI models. · Strong expertise in designing and developing recommendation systems and working with collaborative filtering, matrix factorization, and content-based filtering techniques. · Hands-on experience with chatbots using Natural Language Processing (NLP) and conversational AI frameworks. · In-depth understanding of Generative AI, including transformer-based models and GANs (Generative Adversarial Networks). · Experience working with Large Language Models (LLMs) such as GPT, BERT, T5, etc. · Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. · Strong programming skills in Python and libraries such as NumPy, Pandas, Hugging Face, and NLTK. · Experience with cloud platforms like AWS, GCP, or Azure for deploying and scaling machine learning models. · Solid understanding of data pipelines, ETL processes, and working with large datasets using SQL or NoSQL databases. · Knowledge of MLOps and experience deploying models in production environments. · Strong problem-solving skills and a deep understanding of statistical methods and algorithms. Preferred Qualifications: · Experience with Reinforcement Learning and Recommender Systems personalization techniques. · Experience of working with AWS Bedrock services. · Familiarity with ethical AI and model bias mitigation techniques. · Experience with A/B testing, experimentation, and performance tracking for AI models in production. · Prior experience mentoring junior data scientists and leading AI/ML projects. · Strong communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders. Why Join Us? • Opportunity to be part of a rapidly growing, innovative product-based company. • Collaborate with a talented, driven team focused on building high-quality software solutions. • Competitive compensation and benefits package. Show more Show less

Artificial Intelligence and Machine Learning Engineering – Associate Director, Corporate Technology

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Design, develop, and maintain high-performance, reliable, and scalable Python-based applications. Collaborate with cross-functional teams including designers, developers, and product managers to implement software solutions that meet business goals. Contribute to all phases of the development lifecycle, from proposing and designing new features to rolling out significant changes in functionality. Write reusable, testable, and efficient code while adhering to industry best practices and standards. Debug and optimize existing code and perform regular code reviews for peers to ensure software integrity, quality, and security. Identify and resolve bottlenecks and bugs to improve application performance. Provide technical support and guidance to junior developers, assisting in their professional growth. Stay informed of emerging technologies and industry trends to ensure the company's applications remain at the forefront of innovation. Required Skills: Proficiency in Python with a strong understanding of its libraries and frameworks such as Django or Flask. In-depth knowledge of data structures, algorithms, and software design patterns. Experience with version control systems, particularly Git. Solid understanding of both frontend and backend development, preferably with knowledge of RESTful API design and implementation. Ability to write efficient code that is scalable and maintainable. Strong problem-solving skills and the ability to work independently as well as in a team environment. Excellent communication skills for effective collaboration and reporting. Preferred Skills: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with distributed systems and microservices architecture. Knowledge of containerization technologies like Docker or Kubernetes. Experience with data analysis and manipulation using libraries such as Pandas or NumPy. Understanding of Continuous Integration/Continuous Deployment (CI/CD) pipelines. Exposure to machine learning frameworks like TensorFlow or Scikit-learn. Prior experience with database technologies, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra). Mandatory Skill Sets: Python Preferred Skill Sets: Python Years Of Experience Required: 5-10 Years Education Qualification: BE, B.Tech, MCA, M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field Of Study Preferred: Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 12 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications : • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Show more Show less

Position Title: AI Engineer Position Type: Regular - Full-Time Position Location: Gurgaon Requisition ID: 35046 We know food's importance in people's lives—the power it has to bring people, families, and communities together. We aim to bring enjoyment to people’s lives through great-tasting food that reflects our values. Brief Summary Of Position And Team We are seeking a highly skilled and innovative AI Engineer to lead the design, development, and deployment of advanced Agentic AI and Generative AI (Gen AI) systems. This role is ideal for individuals passionate about building intelligent agents capable of autonomous decision-making and generative models that produce novel content across various modalities, including text, image, audio, and others. The successful candidate will collaborate with cross-functional teams to create next-generation AI solutions that drive business value and technological advancement. Key Responsibilities Agentic AI Development: Design, implement, and optimize autonomous AI agents capable of reasoning, planning, and executing complex tasks with minimal human intervention. Develop frameworks for multi-agent collaboration, negotiation, and coordination. Integrate agentic systems with real-world applications, ensuring robustness, safety, and ethical alignment. Generative AI ( Gen AI ) Research, prototype, and deploy state-of-the-art generative models for content creation in text, image, audio, and video. Fine-tune and customize large language models (LLMs) and other generative architectures to meet specific business and user needs. Implement prompt engineering, retrieval-augmented generation, and evaluation pipelines for Gen AI solutions. Collaboration & Integration Work closely with product managers, data scientists, and software engineers to integrate AI solutions into products and platforms. Contribute to the development of scalable, production-ready AI systems, including APIs and user interfaces. Research & Innovation Evaluate emerging tools, platforms, and methodologies to enhance the AI engineering toolkit. Governance & Ethics Ensure all AI systems adhere to ethical standards, data privacy regulations, and responsible AI practices. Participate in safety audits, bias assessments, and continuous monitoring of deployed models. Qualifications University degree in Computer Science (or related field) or equivalent work experience. At least five years of experience working with programming languages such as Python or equivalent. 3+ years of experience in AI engineering, with demonstrable expertise in agentic systems and generative models. Hands-on experience with prompt engineering, fine-tuning LLMs, or deploying Gen AI in production. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, etc. Strong understanding of reinforcement learning, multi-agent systems, and large language models. Experience with cloud-based AI services (e.g., AWS, Azure, GCP) and MLOps best practices. Excellent problem-solving, communication, and collaboration skills. Self-directed, independent, and comfortable in fast-paced, ambiguous, and often multi-directional work environments. McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law. McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to find appropriate solutions. Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain’s Global Privacy Policy and Global Employee Privacy Policy , as applicable. You can understand how your personal information is being handled here . Job Family: Information Technology Division: Global Digital Technology Department: Global Data and Analytics Location(s): IN - India : Haryana : Gurgaon Company: McCain Foods(India) P Ltd Show more Show less

Quantitative Analyst: Hillroute Capital About Hillroute: Hillroute Capital is a regulated quantitative hedge fund specializing in global digital asset trading. We leverage sophisticated quantitative methodologies and advanced technology to achieve exceptional risk-adjusted returns. Our transparent approach and diverse, experienced team allow us to excel in the rapidly evolving digital asset market. About the Role: We are seeking a highly skilled Quantitative Analyst to develop, test, and refine systematic trading models across global digital asset markets. This role offers flexibility in approach—candidates with expertise in systematic strategies, options trading, statistical arbitrage, backtesting, or machine learning are equally encouraged to apply. Key Responsibilities: Strategy Development & Backtesting: Design and rigorously backtest quantitative trading models, ensuring predictive reliability and strong risk management. Quantitative & Statistical Analysis: Apply advanced statistical modeling, econometric analysis, or financial mathematics to extract market insights. Risk Management: Contribute actively to robust risk management frameworks, identifying potential risks and implementing mitigation strategies. Innovation: Regularly generate and test new ideas and strategies, pushing boundaries to enhance fund performance. Preferred Qualifications: 3–5 years experience in quantitative analysis, trading, or research roles within finance. 1-3 years experience in running quantitative machine learning models. Advanced degree in quantitative disciplines (Mathematics, Physics, Statistics, Computer Science, Engineering). Strong Python programming skills (NumPy, Pandas), and familiarity with backtesting frameworks (Backtrader, QuantConnect). Solid knowledge in options pricing, volatility modeling, statistical arbitrage, or systematic strategies. Familiarity with financial data platforms (Bloomberg, Refinitiv, Quandl). Exposure to cloud computing environments (AWS, GCP, Azure). Experience or interest in applying machine learning techniques (XGBoost, TensorFlow, PyTorch) is a plus—but not mandatory. Participation in Kaggle or similar platforms is beneficial but not required. Key Performance Indicators (KPIs): Model profitability and risk-adjusted returns. Backtest reliability and accuracy. Effectiveness in risk management. Contribution to innovation and research quality. What We Offer: Competitive compensation and performance-based incentives. The opportunity to pioneer quantitative strategies in the dynamic digital asset industry. A collaborative, inclusive, and flexible working environment. Professional growth in an innovative, fast-paced hedge fund setting. If you're passionate about quantitative finance and thrive in a dynamic, data-driven environment, we invite you to join our team. Apply directly via LinkedIn: Hillroute Capital Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... Join Verizon as we continue to grow our industry-leading network to improve the ways people, businesses, and things connect. We are looking for an experienced, talented and motivated AI&ML Engineer to lead AI Industrialization for Verizon. You will also serve as a subject matter expert regarding the latest industry knowledge to improve the Home Product and solutions and/or processes related to Machine Learning, Deep Learning, Responsible AI, Gen AI, Natural Language Processing, Computer Vision and other AI practices. Deploying machine learning models - On Prem, Cloud and Kubernetes environments Driving data-derived insights across the business domain by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives. Creating and implementing data and ML pipelines for model inference, both in real-time and in batches. Architecting, designing, and implementing large-scale AI/ML systems in a production environment. Monitor the performance of data pipelines and make improvements as necessary What We’re Looking For... You have strong analytical skills and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end-to-end analytical solutions, and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and can interact with various partners and multi-functional teams to implement data science-driven business solutions. You'll Need To Have Bachelor's degree with four or more years of relevant work experience. Expertise in advanced analytics/ predictive modelling in a consulting role. Experience with all phases of end-to-end Analytics project Hands-on programming expertise in Python (with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) , R (for specific data analysis tasks) Knowledge of Machine Learning Algorithms - Linear Regression , Logistic Regression ,Decision Trees ,Random Forests ,Support Vector Machines (SVMs) ,Neural Networks (Deep Learning) ,Bayesian Networks Data Engineering - Data Cleaning and Preprocessing ,Feature Engineering ,Data Transformation , Data Visualization Cloud Platforms - AWS SageMaker ,Azure Machine Learning ,Cloud AI Platform Even better if you have one or more of the following: Advanced degree in Computer Science, Data Science, Machine Learning, or a related field. Knowledge on Home domain with key areas like Smart Home, Digital security and wellbeing Experience with stream-processing systems: Spark-Streaming, Storm etc. #TPDNONCDIOREF Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

Job Title : GenAI / ML Engineer Function : Research & Development Location : Delhi/Bangalore (3 days in office) About the Company: Elucidata is a TechBio Company headquartered in San Francisco. Our mission is to make life sciences data AI-ready. Elucidata's Elucidata’s LLM-powered platform Polly, helps research teams wrangle, store, manage and analyze large volumes of biomedical data. We are at the forefront of driving GenAI in life sciences R&D across leading BioPharma companies like Pfizer, Janssen, NextGen Jane and many more. We were recognised as the 'Most Innovative Biotech Company, 2024', by Fast Company. We are a 120+ multi-disciplinary team of experts based across the US and India. In September 2022, we raised $16 million in our Series A round led by Eight Roads, F-Prime, and our existing investors Hyperplane and IvyCap. About the Role: We are looking for a GenAI / ML Engineer to join our R&D team and work on cutting-edge applications of LLMs in biomedical data processing . In this role, you'll help build and scale intelligent systems that can extract, summarize, and reason over biomedical knowledge from large bodies of unstructured text, including scientific publications, EHR/EMR reports, and more. You’ll work closely with data scientists, biomedical domain experts, and product managers to design and implement reliable GenAI-powered workflows — from rapid prototypes to production-ready solutions. This is a highly strategic role as we continue to invest in agentic AI systems and LLM-native infrastructure to power the next generation of biomedical applications. Key Responsibilities: Build and maintain LLM-powered pipelines for entity extraction, ontology normalization, Q&A, and knowledge graph creation using tools like LangChain, LangGraph, and CrewAI. Fine-tune and deploy open-source LLMs (e.g., LLaMA, Gemma, DeepSeek, Mistral) for biomedical applications. Define evaluation frameworks to assess accuracy, efficiency, hallucinations, and long-term performance; integrate human-in-the-loop feedback. Collaborate cross-functionally with data scientists, bioinformaticians, product teams, and curators to build impactful AI solutions. Stay current with the LLM ecosystem and drive adoption of cutting-edge tools, models, and methods. Qualifications : 2–3 years of experience as an ML engineer, data scientist, or data engineer working on NLP or information extraction. Strong Python programming skills and experience building production-ready codebases. Hands-on experience with LLM frameworks and tooling (e.g., LangChain, HuggingFace, OpenAI APIs, Transformers). Familiarity with one or more LLM families (e.g., LLaMA, Mistral, DeepSeek, Gemma) and prompt engineering best practices. Strong grasp of ML/DL fundamentals and experience with tools like PyTorch, or TensorFlow. Ability to communicate ideas clearly, iterate quickly, and thrive in a fast-paced, product-driven environment. Good to Have (Preferred but Not Mandatory) Experience working with biomedical or clinical text (e.g., PubMed, EHRs, trial data). Exposure to building autonomous agents using CrewAI or LangGraph. Understanding of knowledge graph construction and integration with LLMs. Experience with evaluation challenges unique to GenAI workflows (e.g., hallucination detection, grounding, traceability). Experience with fine-tuning, LoRA, PEFT, or using embeddings and vector stores for retrieval. Working knowledge of cloud platforms (AWS/GCP) and MLOps tools (MLflow, Airflow etc.). Contributions to open-source LLM or NLP tooling We are proud to be an equal-opportunity workplace and are an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Show more Show less

Job Information Industry IT Services Date Opened 06/12/2025 Salary 20,000 - 40,000 Job Type Full time Work Experience 1-2 yrs City Chandigarh State/Province Chandigarh Country India Zip/Postal Code 160002 Job Description About CrossML CrossML is a cutting-edge software development firm specializing in AI and machine learning solutions. We deliver innovative technologies to empower businesses and enhance operational efficiency. Join us to work on impactful projects and stay ahead in the evolving tech landscape. Position Overview We are seeking a skilled AI Full Stack Developer with 1-2 years of experience in design, develop, and implement AI-driven applications. This role requires a combination of expertise in web development and a strong foundation in AI/ML. Requirements Key Responsibilities Develop, test, and deploy AI-driven web applications. Design and maintain front-end (React/Angular) and back-end (Node.js/Django/Flask) systems. Build and integrate AI/ML models into applications using frameworks like TensorFlow or PyTorch. Work with databases (SQL/NoSQL) to store and manage application data. Collaborate with cross-functional teams to design scalable solutions. Optimise applications for maximum performance and scalability. Required Skills Proficiency in Python and JavaScript. Experience with front-end frameworks (React/Angular) and back-end technologies (Node.js/Django/Flask). Basic understanding of AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Knowledge of databases: SQL (MySQL/PostgreSQL) and NoSQL (MongoDB). Familiarity with RESTful APIs and version control systems (Git). Strong problem-solving and debugging skills. Benefits What We Offer Medical Insurance: Comprehensive coverage. 5-Day Work Week: Healthy work-life balance. Paid Time Off: Relax and recharge. Learning Opportunities: Upskill with AI/ML and full-stack development training programs. Join CrossML and become part of a dynamic team where innovation and growth are at the core of everything we do.

We are looking for an experienced Embedded Voice & ML Applications Engineer with a strong background in embedded systems and machine learning for edge devices. The role involves developing and optimizing real-time applications for voice and ML use cases on low-power, resource-constrained platforms. Key Responsibilities : - Develop embedded software in C for voice and ML applications. - Work with RTOS (FreeRTOS) for real-time processing. - Perform board bring-up and low-level hardware interfacing. - Optimize systems for low power and performance efficiency. - Implement and port models using TensorFlow Lite Micro or PyTorch. - Debug multicore applications and integrate with NPUs. - Work with linker scripts (GCC, IAR, ARM) and embedded toolchains. - Handle DSP/ISP processing and real-time data flows. Required Skills : - 5+ years of experience in embedded development. - Strong in C programming, RTOS, and hardware-level debugging. - Experience with ML frameworks and real-time model deployment. - Good understanding of multicore systems, NPU, and signal processing. - Familiarity with embedded toolchains and linker scripts.

Notice Period : Immediate - 15 Days About the Role : We are seeking a highly skilled Senior Data Scientist to join our team and contribute to cutting-edge projects. As a key member of our data science team, you will leverage your expertise in machine learning, natural language processing, and data engineering to develop innovative solutions that drive business value. Responsibilities : - Machine Learning Model Development : Design, develop, and deploy advanced machine learning models, focusing on natural language processing tasks such as text classification, sentiment analysis, and language generation. - Data Engineering : Extract, transform, and load (ETL) data from various sources, ensuring data quality and consistency. - NLP Techniques : Apply state-of-the-art NLP techniques, including language models and text processing, to solve complex problems. - Python and ML Frameworks : Utilize Python programming language and popular ML frameworks like PyTorch or TensorFlow to build efficient and scalable models. - Cloud and Containerization : Leverage cloud platforms (GCP, AWS) and containerization technologies (Docker) for efficient deployment and management of ML models. - Database Management : Work with relational databases (Postgres, MySQL) to store, manage, and query large datasets. - Knowledge Graphs and ML Publications : Contribute to the development of knowledge graphs and stay updated with the latest advancements in the field through research and publications. Qualifications : Experience : 4-7 years of hands-on experience in data science, with a strong focus on machine learning and natural language processing. Technical Skills : - Proficiency in Python programming language. - Deep understanding of machine learning algorithms and techniques. - Expertise in NLP, including language models and text processing. - Familiarity with ML frameworks like PyTorch or TensorFlow. - Experience with cloud platforms (GCP, AWS) and containerization (Docker). - Knowledge of relational databases (Postgres, MySQL). Soft Skills : - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work independently and as part of a team.

Job Title: AI/ML Associate Engineer Job Type: Full-Time. Immediate Joiners Only! Location: Hyderabad Desired Experience: 1-2 years of experience in AI/ML, OR, Trained freshers (with NO experience) required to have demonstrable hands-on project exposure in AI/ML. Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Certifications in AI/ML or Data Science are a strong plus. Job Overview We are seeking a highly motivated and technically skilled Junior AI and ML Engineer/Developer to join our team in a SaaS product-based company. The role is ideal for freshers trained in AI/ML with hands-on project experience or professionals with 1-2 years of experience. The candidate will contribute to developing, implementing, and optimizing AI/ML solutions to enhance the intelligence and functionality of SaaS products. Key Responsibilities Develop and implement machine learning models, including supervised, unsupervised, and deep learning techniques. Build scalable AI/ML pipelines for tasks such as natural language processing (NLP), computer vision, recommendation systems, and predictive analytics. Work with programming languages like Python or R , leveraging AI/ML libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn . Pre-process and analyse datasets using techniques like feature engineering, scaling, and data augmentation. Deploy AI/ML models on cloud platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML ) and ensure optimal performance. Manage datasets using SQL and NoSQL databases, applying efficient data handling and querying techniques. Utilize version control tools like Git to maintain code integrity and collaboration. Collaborate with product and development teams to align AI/ML solutions with business objectives. Document technical workflows, algorithms, and experiment results for reproducibility. Stay up to date with the latest advancements in AI/ML to propose and implement innovative solutions. Key Skills Proficiency in Python or R , with experience in AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn, and Keras . Strong understanding of machine learning algorithms, NLP , and computer vision . Experience with data pre-processing techniques such as feature scaling, normalization, and handling missing data. Familiarity with cloud platforms for AI/ML deployment ( AWS, Google Cloud, Azure ). Database management skills in SQL and familiarity with NoSQL databases like MongoDB. Knowledge of version control systems like Git . Exposure to tools like Docker or Kubernetes for deploying AI/ML models in production. Strong foundation in mathematics and statistics, including linear algebra, probability, and optimization techniques. Excellent analytical and problem-solving skills, with a detail-oriented mindset. Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 1-2 years of experience in AI/ML, OR, Trained freshers required to have demonstrable hands-on project exposure in AI/ML. Certifications in AI/ML or Data Science are a strong plus. Knowledge or experience in a SaaS product-based environment is an advantage. What We Offer : Opportunity to work on cutting-edge AI/ML projects in a fast-paced SaaS environment. Collaborative and innovative workplace with mentorship and career growth opportunities. Competitive salary and benefits package.

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 : NA Minimum 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. 15 years full time education

AI/ML Expert – PHP Integration (Remote / India Preferred) Experience: 2–5 years in AI/ML with PHP integration About Us: We’re the team behind Wiser – AI-Powered Product Recommendations for Shopify , helping over 5,000+ merchants increase AOV and conversions through personalized upsell and cross-sell experiences. We’re now scaling our recommendation engine further and are looking for an AI/ML expert who can help us take Wiser to the next level with smarter, faster, and more contextual product recommendations. Role Overview: As an AI/ML Engineer, you will: Develop and optimize product recommendation algorithms based on customer behavior, sales data, and store context. Train models using behavioral and transactional data across multiple Shopify stores. Build and test ML pipelines that can scale across thousands of stores. Integrate AI outputs into our PHP-based system (Laravel/Symfony preferred). Work closely with product and backend teams to improve real-time recommendations, ranking logic, and personalization scores. Responsibilities: Analyze large datasets from Shopify stores (products, orders, sessions) Build models for: Product similarity User-based & item-based collaborative filtering Popularity-based + contextual hybrid models Improve existing recommendation logic (e.g., Frequently Bought Together, Complete the Look) Implement real-time or near real-time prediction logic Ensure AI output integrates smoothly into PHP backend APIs Document logic and performance of models for internal review Requirements: 2–5 years of experience in machine learning, AI, or data science Strong Python skills (scikit-learn, TensorFlow, PyTorch, Pandas, NumPy) Experience building recommendation systems or working with eCommerce data Experience integrating AI models with PHP/Laravel applications Familiarity with Shopify ecosystem and personalization is a bonus Ability to explain ML logic to non-technical teams Bonus: Experience with AWS, S3, SageMaker, or model hosting APIs What You’ll Get: Opportunity to shape AI in one of the fastest-growing Shopify apps Work on a product used by 4,500+ stores globally Direct collaboration with founders & product team Competitive pay + growth opportunities Show more Show less

We are looking for an experienced faculty member to deliver our DATA SCIENCE with MACHINE LEARNING &AI course. This program equips learners with real-world skills in data handling, analytics,and AI technologies. Tools & Technologies Taught: Programming & Libraries: Python, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras Data Handling & Visualization: Tableau, Power BI, SQL, Django Other Tools (as applicable): Git/GitHub (version control), Excel (for basic data manipulation). Job Type: Full-time Pay: ₹8,086.00 - ₹12,000.00 per month Schedule: Day shift Work Location: In person

We are looking for an experienced AI Engineer to join our team. The ideal candidate will have a strong background in designing, deploying, and maintaining advanced AI/ML models with expertise in Natural Language Processing (NLP), Computer Vision, and architectures like Transformers and Diffusion Models. You will play a key role in developing AI-powered solutions, optimizing performance, and deploying and managing models in production environments. Key Responsibilities AI Model Development and Optimization: Design, train, and fine-tune AI models for NLP, Computer Vision, and other domains using frameworks like TensorFlow and PyTorch. Work on advanced architectures, including Transformer-based models (e.g., BERT, GPT, T5) for NLP tasks and CNN-based models (e.g., YOLO, VGG, ResNet) for Computer Vision applications. Utilize techniques like PEFT (Parameter-Efficient Fine-Tuning) and SFT (Supervised Fine-Tuning) to optimize models for specific tasks. Build and train RLHF (Reinforcement Learning with Human Feedback) and RL-based models to align AI behavior with real-world objectives., Explore multimodal AI solutions combining text, vision, and audio using generative deep learning architectures. Natural Language Processing (NLP): Develop and deploy NLP solutions, including language models, text generation, sentiment analysis, and text-to-speech systems. Leverage advanced Transformer architectures (e.g., BERT, GPT, T5) for NLP tasks. AI Model Deployment and Frameworks: Deploy AI models using frameworks like VLLM, Docker, and MLFlow in production-grade environments. Create robust data pipelines for training, testing, and inference workflows. Implement CI/CD pipelines for seamless integration and deployment of AI solutions. Production Environment Management: Deploy, monitor, and manage AI models in production, ensuring performance, reliability, and scalability. Set up monitoring systems using Prometheus to track metrics like latency, throughput, and model drift. Data Engineering and Pipelines: Design and implement efficient data pipelines for preprocessing, cleaning, and transformation of large datasets. Integrate with cloud-based data storage and retrieval systems for seamless AI workflows. Performance Monitoring and Optimization: Optimize AI model performance through hyperparameter tuning and algorithmic improvements. Monitor performance using tools like Prometheus, tracking key metrics (e.g., latency, accuracy, model drift, error rates etc.) Solution Design and Architecture: Collaborate with cross-functional teams to understand business requirements and translate them into scalable, efficient AI/ML solutions. Design end-to-end AI systems, including data pipelines, model training workflows, and deployment architectures, ensuring alignment with business objectives and technical constraints. Conduct feasibility studies and proof-of-concepts (PoCs) for emerging technologies to evaluate their applicability to specific use cases. Stakeholder Engagement: Act as the technical point of contact for AI/ML projects, managing expectations and aligning deliverables with timelines. Participate in workshops, demos, and client discussions to showcase AI capabilities and align solutions with client needs. Experience: 2.5 - 5 years of experience Salary : 5-11 LPA Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,100,000.00 per year Schedule: Day shift Work Location: In person

Data Science and AI Developer **Job Description:** We are seeking a highly skilled and motivated Data Science and AI Developer to join our dynamic team. As a Data Science and AI Developer, you will be responsible for leveraging cutting-edge technologies to develop innovative solutions that drive business insights and enhance decision-making processes. **Key Responsibilities:** 1. Develop and deploy machine learning models for predictive analytics, classification, clustering, and anomaly detection. 2. Design and implement algorithms for data mining, pattern recognition, and natural language processing. 3. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 4. Utilize advanced statistical techniques to analyze complex datasets and extract actionable insights. 5. Implement scalable data pipelines for data ingestion, preprocessing, feature engineering, and model training. 6. Stay updated with the latest advancements in data science, machine learning, and artificial intelligence research. 7. Optimize model performance and scalability through experimentation and iteration. 8. Communicate findings and results to stakeholders through reports, presentations, and visualizations. 9. Ensure compliance with data privacy regulations and best practices in data handling and security. 10. Mentor junior team members and provide technical guidance and support. **Requirements:** 1. Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 2. Proven experience in developing and deploying machine learning models in production environments. 3. Proficiency in programming languages such as Python, R, or Scala, with strong software engineering skills. 4. Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Spark MLlib. 5. Solid understanding of data structures, algorithms, and computer science fundamentals. 6. Excellent problem-solving skills and the ability to think creatively to overcome challenges. 7. Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. 8. Certification in Data Science, Machine Learning, or Artificial Intelligence (e.g., Coursera, edX, Udacity, etc.). 9. Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. 10. Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) is an advantage. Data Manipulation and Analysis : NumPy, Pandas Data Visualization : Matplotlib, Seaborn, Power BI Machine Learning Libraries : Scikit-learn, TensorFlow, Keras Statistical Analysis : SciPy Web Scrapping : Scrapy IDE : PyCharm, Google Colab HTML/CSS/JavaScript/React JS Proficiency in these core web development technologies is a must. Python Django Expertise: In-depth knowledge of e-commerce functionalities or deep Python Django knowledge. Theming: Proven experience in designing and implementing custom themes for Python websites. Responsive Design: Strong understanding of responsive design principles and the ability to create visually appealing and user-friendly interfaces for various devices. Problem Solving: Excellent problem-solving skills with the ability to troubleshoot and resolve issues independently. Collaboration: Ability to work closely with cross-functional teams, including marketing and design, to bring creative visions to life. interns must know about how to connect front end with datascience Also must Know to connect datascience to frontend **Benefits:** - Competitive salary package - Flexible working hours - Opportunities for career growth and professional development - Dynamic and innovative work environment Job Type: Full-time Pay: ₹8,000.00 - ₹12,000.00 per month Schedule: Day shift Ability to commute/relocate: Thiruvananthapuram, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person