2068 Reinforcement Jobs - Page 16

Company Description Alaknanda TMT Bar, produced by the Alaknanda Group, operates a manufacturing facility in Simlimurarpur, Patna District of Bihar. Certified under ISO 9001:2015 and 14001:2015, we specialize in high-grade mild steel products ideal for reinforcement in various structures. Our Thermo Mechanically Treated iron bars are tough, resilient, and manufactured with advanced technology, ensuring global quality standards. Designed for earthquake-prone zones, our bars offer optimum resistance to shocks with higher strength and ductility. Alaknanda is committed to quality, sustainability, and compliance with environmental laws. Role Description This is a full-time on-site role for a Brand Assistant located in Kolkata. The Brand Assistant will be responsible for supporting the branding and brand management activities of the company. Daily tasks include conducting market research, assisting with brand strategy development, implementing branding initiatives, supporting sales efforts, and maintaining effective communication with internal and external stakeholders. The Brand Assistant will also assist in the analysis of brand performance and contribute to the planning and execution of brand campaigns. Qualifications Analytical Skills and ability to analyze brand performance Excellent Communication skills for effective internal and external interactions Experience in Branding and Brand Management Sales skills to support sales efforts Ability to work independently and collaboratively in a team environment Bachelor's degree in Marketing, Business Administration, or related field Experience in the iron and steel industry is a plus

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... As a DMTS (AI Science) you will own and drive end to end solutions for Cognitive and Gen AI driven use cases. Working on designing and building scalable cognitive and generative AI solutions to meet the needs of given Business engagement. Providing technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Working in collaborative environment with global teams to drive solutioning of business problems. Developing end to end analytical solutions, and articulating insights to leadership. Provide data-driven recommendations to business by clearly articulating complex modeling concepts through generation and delivery of presentations. Analyzing and model both structured and unstructured data from a number of distributed client and publicly available sources. Assisting with the mentorship and development of Junior members. Drive team towards solutions. Assisting in growing data science practice in Verizon, by meeting business goals through client prospecting, responding to model POC, identifying and closing opportunities within identified Insights, writing white papers, exploring new tools and defining best practices. What We’re Looking For... You have strong ML/NLP/GenAI skills and are eager to work in a collaborative environment with global teams to drive NLP/GenAI application in business problems. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various stakeholders and cross functional teams to implement data science driven business solutions. You take pride in your role as a data scientist and evangelist and enjoy adding to the systems, concepts and models that enrich the practice. You enjoy mentoring and empowering the team to expand their technical capabilities. You’ll Need To Have Bachelor’s degree or four or more years of work experience. Six or more years of work experience. Data Scientist and thought leader with experience in implementing production use cases in Gen AI and Cognitive. Ten or more years of hands-on experience on implementation of large-scale NLP Projects and Fine tuning & Evaluation of LLMs for downstream tasks such as text generation, Classification, summarization, question answering, entity extraction etc. Working knowledge of Agentic AI frameworks like LangChain, LangGraph, CrewAI etc. Ability to guide the team to correctly analyze cognitive insights and leverage unstructured conversational data to create transformative, intelligent, context aware and adaptive AI systems. Experience in Machine Learning, Deep Learning model development & deployment from scratch in Python. Working knowledge of NLP frameworks and libraries like NLTK, Spacy, Transformers, Pytorch, Tensorflow, hugging face API's. Working knowledge of various supervised and unsupervised ML algorithms. Should know the various data preprocessing techniques and its impact on algorithm's accuracy, precision and recall. Knowledge & Implementation Experience of Deep Learning i.e Convolutional Neural Nets (CNN), Recursive Neural Nets (RNN) & Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), Deep Reinforcement Learning. Experience with RESTful, JSON API services. Working knowledge on Word embeddings, TF-IDF, Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context. Experience in analyzing Live Chat/call conversation with agents. Expertise in Python, Sql, PySpark, Scala and/or other languages and tools. Understanding of validation framework for generative model output and perspective on future ready systems to scale validation. Familiarity with GPU/CPU architecture and distributed computing and general infra needs to scale Gen AI models Ability to provide technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Even better if you have one or more of the following: Phd or an advanced degree or specialization in Artificial Intelligence If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. 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.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. About The Position The Database engineering team is based in the Bay Area, Toronto and India. The team has the DNA of building highly scalable, mission critical enterprise products. As part of building our team in India, we are looking for an AI Research Engineer with a passion for advancing the intersection of machine learning and database systems and improving operational efficiency of the Salesforce database. Responsibilities Salesforce is expanding its India operations and seeking to recruit an AI Research Engineer. The responsibilities of this position encompass the application of machine learning techniques to optimize the efficiency of the Salesforce database and to enhance the database system infrastructure and operational efficiency. It is desired that the selected candidate possesses a strong interest in the integration of artificial intelligence with database technology. This role focuses on developing innovative AI-based solutions across multiple database areas, including but not limited to: Root Cause Analysis (RCA) from logs and telemetry Log summarization and anomaly detection Query optimization and cost modeling Execution plan prediction and tuning Semantic understanding of user queries and workload forecasting Salesforce has a large fleet of database instances running in the cloud and generates a huge amount of telemetry and logs which can be leveraged to solve these problem statements. You’ll work on integrating LLMs and ML models with the Salesforce database engine to improve operational efficiency as well as help improve the database engineer itself to make it more adaptive, self-healing, and intelligent. As a PMTS/Architect You Will Be Responsible For Drive the roadmap, design and delivery of medium complex features independently Be an SME in your area of work,work with other database architects to arrive at solutions that can be productized Own the design decisions and ensure Quality and Security standards are met. Contribute to analysis, design, test and code reviews of own and related areas across different scrum teams Setting and improving engineering best practices/processes on relevant tooling, instrumentation, telemetry and playbook. Designing and coding the features for high quality. Timely resolution of Customer issues with utmost urgency and adhering to customer trust Requirements Experience with open-source DBMS (PostgreSQL, MySQL) or commercial engines. Experience in reinforcement learning, LLMs, building knowledge graphs, autoML Exposure to observability platforms (Splunk). Background in systems research with published work in SIGMOD, VLDB, NeurIPS, ICDE, OSDI, or similar venues. Track record of delivering innovative and complex features for a major software system Excellent communication skills and problem-solving skills Experience working with a group of developers in a high-pace high-demand environment Experience in Agile development Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical businesses by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety. Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance. As a research scientist at AryaXAI, you will be uniquely positioned in our team to work on very large-scale industry problems and push forward the frontiers of AI technologies. You will become a part of the unique atmosphere where startup culture meets research innovation, with key outcomes of speed and reliability. Responsibilities You'll work on advanced problems related to AI explainability, AI safety, and AI alignment. You'll have flexibility in picking up the specialization areas within ML/DL and problem types that address the above challenges. Create new techniques around ML Observability & Alignment. Collaborate with MLEs and SDE to roll out the features and manage their quality until they are fully stable. Create and maintain technical and product documentation. Publish papers in open forums like arxiv and present in industry forums like ICLR NeurIPS etc. Qualifications Has a solid academic background in concepts of machine learning or deep learning or reinforcement learning. Master or Ph.D in key engineering topics like computer science or Mathematics is required Should have published peer-reviewed papers or contributed to opensource tools Hands-on experience in working with deep learning frameworks like Tensorflow, Pytorch etc Enjoys working on various DL problems that involve using different types of training data sets - textual, tabular, categorical, images etc Comfortable deploying code in cloud environments/on-premise environments. Good fundamentals in MLOps and productionising ML models. Prior experience on working on ML explainability methods - LRP, SHAPE, LIME, IG, CEM etc. 2+ years of hands-on experience in Deep Learning or Machine Learning. Hands-on experience in implementing techniques like Transformer models, GANs, Deep Learning, etc.

Company Description VBM Environmental and Geotechnical Solutions Pvt Ltd. is a leader in specialized geotechnical and environmental engineering services, delivering innovative and sustainable solutions across diverse industries. With extensive experience, we are a trusted partner for clients seeking expertise and technical excellence. Our highly skilled team uses cutting-edge technology and best practices to tackle unique project challenges, offering services such as retaining wall design, soil reinforcement, rockfall hazard mitigation, and more. We aim to ensure the safety, stability, and sustainability of our clients' projects through environmentally responsible methods, while fostering positive impacts on communities. Role Description This full-time Site Engineer role is based on-site in Aurangabad. The Site Engineer will be responsible for supervising construction activities, ensuring quality control, conducting site inspections, and coordinating with the project team to ensure structural integrity and timely completion of projects. Daily tasks will include managing on-site operations, communicating effectively with team members and stakeholders, and adhering to safety protocols. Qualifications Experience in Geotechnical Engineering and Civil Engineering Strong On-Site management and Quality Control skills Excellent Communication skills Ability to work independently and as part of a team Knowledge of environmental sustainability practices is a plus Bachelor's degree in Civil Engineering or related field Prior experience in construction projects preferred

At Adeptiv.AI, we're building the most advanced AI Governance Platform for enterprises. Our flagship Real-Time Evaluation module empowers businesses to test, evaluate, and trust their AI systems. We're now expanding this module to support ML models, explainability frameworks, and diverse AI use cases, and we're looking for a Senior AI Evaluation Engineer subject matter expert to lead this transformation. This role is ideal for someone who lives and breathes AI/ML evaluation, loves digging deep into models, and can bridge the gap between theory and production-grade software. Key Responsibilities: Design and lead the implementation of evaluation frameworks for ML and Gen AI systems. Define and guide the evaluation of different AI/ML metrics, such as Accuracy, Precision, Recall, AUC, BLEU, ROUGE, METEOR, etc. Develop strategies for model robustness, bias detection, and fairness evaluations. Implement tools like SHAP, LIME, Captum, DeepChecks, Foolbox, Evidently AI, Alibi Detect, etc. Define pipelines for automated test case execution, continuous evaluation, and report generation. Guide and mentor full-stack and backend engineers in integrating AI/ML testing logic into production-ready services. Establish standards for test dataset generation, edge-case simulation, and benchmarking. Validate the correctness of evaluations across supported AI use cases. Stay ahead of the curve on emerging research in AI evaluations and bring insights into the product. Must-Have Skills & Experience: 5+ years in AI/ML focused on the evaluation and testing of AI / ML systems Deep expertise in traditional ML evaluation, Computer Vision, and Generative AI metrics Strong familiarity with explainability tools (SHAP, LIME, Integrated Gradients, etc.) Experience evaluating models in one or more domains: NLP, Computer Vision, Tabular Data, Reinforcement Learning Hands-on experience with libraries like scikit-learn, huggingface, transformers, OpenAI, LangChain, TorchMetrics, Evidently, etc. Experience working in collaboration with engineering teams to productize evaluation pipelines Strong Python development and scripting capabilities Solid understanding of AI reliability, robustness, fairness, and auditability Good to Have: Experience with LLM evaluation, hallucination detection, and prompt scoring Prior contributions to AI testing or monitoring tools or open-source projects Understanding of MLOps/LLMOps workflows Familiarity with CI/CD of model evaluations in production Awareness of AI compliance and audit frameworks (like EU AI Act, NIST AI RMF) What You'll Bring A rigorous scientific mindset, but with a builder's attitude A passion to make AI trustworthy for enterprises Strong communication skills to work cross-functionally with product & engineering High ownership to shape a strategic product module from scratch Why Join Us? Be part of a cutting-edge product solving real challenges in AI Governance. Work directly with the founding team and make a massive impact in enterprises. Opportunity to influence the future of AI evaluation and reliability.

Career Renew is recruiting for one of its clients a Senior Full Stack Engineer - AI - this is a fully remote role and candidates can be based anywhere, as long as they can overlap 4 hours with EST Time. We are a consumer AI studio, which has shipped and grown multiple products in the past to millions of users. We are currently looking for a Senior Engineering lead to join our team for our next platform around AI Agents. Requirements: You have experience in end to end application development - full stack development, front end, backend, infrastructure and ops across multiple stacks (Typescript, Javascript, MERN) You have shipped products and worked with product teams towards design, UX You are hands on and write robust code You have some understanding of AI agent systems You have good working proficiency in English, especially written You have extraordinary problem solving skills, particularly in debugging complex multi-agent interactions and emergent behaviors Bonus: You are a graduate of a top tier university You have worked on a well known product Strong proficiency in programming languages such as JavaScript, Go, and Rust. Demonstrable skills in both Backend and Frontend development at large scale, such as React, Tailwind, Node, Redis, MongoDB, and Docker Strong proficiency in AWS cloud infrastructure at scale, with Demonstrable skills in cost management. Strong proficiency in AI LLM Inference, and AI Model fine-tuning. You have deep experience building and scaling AI agent infrastructure, including: Multi-agent orchestration systems and workflow management Agent reasoning frameworks, decision trees, and planning algorithms Tool integration architectures and function calling systems Agent memory management, context persistence, and state handling Real-time agent coordination and communication protocols You have experience in AI training, fine-tuning inference and deployment - personal projects count You have built or contributed to open-source agent frameworks, LLM orchestration tools, or autonomous system libraries You have experience with reinforcement learning, particularly in multi-agent environments You understand the theoretical foundations of agent architectures (ReAct, Chain-of-Thought, Tree of Thoughts, etc.) You have a network of highly talented engineers and can grow into a leadership role You are strongly opinionated about the future of technology. You are not just an executor but have an independent vision Benefits: Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Work From Home Stock Option Plan Compensation & Package Health Care Plan (Medical, Dental & Vision) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Work From Home Stock Option Plan

Role & responsibilities Should be familiar with all construction drawings to read general notes mentioned in drawing. Should be able to prepare to BBS (bar bending schedule). Should have working knowledge of reinforcement Wastage control Able to prepare monthly labour report. Should have working knowledge of BBS machines, stacking of reinforcement steel, stacking of scrap steel. Good of Knowledge of Units & Measurements Maintain safety at site. 5-15 years of experience in High-rise buildings / Commercial construction projects with relevant exposure to multi-disciplinary activities Should be willing to work in Project Based role

Job Description This is a unique opportunity to apply your skills and contribute to impactful global business initiatives. As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial & Investment Bank's Global Banking team, you’ll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery. Work with product and business teams to define goals and roadmaps. Maintain alignment with cross-functional stakeholders. Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Mentor Junior Machine Learning associates in delivering successful projects and building successful career in the firm. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution, and ensure accountability. Required Qualifications, Capabilities, And Skills 14+ years (BS) or 8+ (MS) or 5+ (PhD) years of relevant in Computer Science, Data Science, Information Systems, Statistics, Mathematics or equivalent experience. Track record of managing AI/ML or software development teams. Experience as a hands-on practitioner developing production AI/ML solutions. Deep knowledge and experience in machine learning and artificial intelligence. Ability to set teams up for success in speed and quality, and design effective metrics and hypotheses. Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Familiarity in AWS Cloud services such as EMR, Sagemaker etc., Strong people management and team-building skills. Ability to coach and grow talent, foster a healthy engineering culture, and attract/retain talent. Ability to build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members. Effective communication, solid negotiation skills, and strong leadership. About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Responsibilities Planning & project execution, monitoring progress, reviewing contracts. Developed project baselines; monitored, controlled projects with respect to cost, resource deployment, time over-runs, quality & safety compliance to ensure satisfactory execution of projects. Planning Material and resources including deployment of manpower. Lead & monitor various project activities such as concreting & excavation of various components dam, Coffer Dam, Spillways & stilling basin, Heavy Reinforcement Works & Associated Form Works. Underground Excavation (Excavation & Lining of Desilting Chamber, Head Race Tunnel, Silt Flushing Tunnel etc.) and forwarded change requests for updating the project management plan. Qualifications B.E./B.Tech in Civil Engineering (Full Time) 15+ years of work experience in underground/open structures like dam, powerhouse, tunnel etc. of Hydro/PSP.

Coordinate between the Client’s Architect / Struc Consultants / MEP Consultants and the various NSC / vendors / Package contractors. Involve in design meetings and ensure L&T’s constructability / time points. Lead the team of shop drawing draftsmen in preparing the finishing shop drawings together with the Finishing Head. Analyze the drawings and specifications and detect missing information well ahead of procurement / site execution. Understand which information is required at which point in time based on the execution schedule. Analyze architectural, structural and MEP drawings and identify contradictions, missing information, etc. Draft and raise RFIs to clarify missing information / contradictions. Proposing solutions which are cost effecting / easy to execute / advancing L&T’s interest Compile all available information for issuance to site. Generate a consolidated shop drawing including all the information for the structural team. Assisting procurement team in preparing tenders of finishing items (façade, waterproofing, drywall, doors, misc. metals, marble, tiling, ironmongery) Assist in the technical review of tenders of finishing items Follow ups with subcontractors for architectural packages for shop drawings. Review for compliance with contract documents and prepare submission to consultants Work with Finishing / MEP / formwork / reinforcement departments to ensure full coordination and avoid scope gaps

Description Our customers have immense faith in our ability to deliver packages timely and as expected. A well planned network seamlessly scales to handle millions of package movements a day. It has monitoring mechanisms that detect failures before they even happen (such as predicting network congestion, operations breakdown), and perform proactive corrective actions. When failures do happen, it has inbuilt redundancies to mitigate impact (such as determine other routes or service providers that can handle the extra load), and avoids relying on single points of failure (service provider, node, or arc). Finally, it is cost optimal, so that customers can be passed the benefit from an efficiently set up network. Amazon Shipping is hiring Applied Scientists to help improve our ability to plan and execute package movements. As an Applied Scientist in Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off-manifest (discrepancies between planned and actual shipping cost). You will build models to improve the quality of financial and planning data by accurately predicting ship cost at a package level. Your models will help forecast the packages required to be pick from shipper warehouses to reduce First Mile shipping cost. Using signals from within the transportation network (such as network load, and velocity of movements derived from package scan events) and outside (such as weather signals), you will build models that predict delivery delay for every package. These models will help improve buyer experience by triggering early corrective actions, and generating proactive customer notifications. Your role will require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised and reinforcement learning. Your model choices will include, but not be limited to, linear/logistic models, tree based models, deep learning models, ensemble models, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America, Europe, Asia) and package movement types (such as small parcel movements and truck movements). You will partner with Applied Scientists and Research Scientists from other teams in US and India working on related business domains. Your models are expected to be of production quality, and will be directly used in production services. You will work as part of a diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers and submitting them to Machine Learning conferences. You will mentor Applied Scientists and Software Development Engineers having a strong interest in ML. You will also be called upon to provide ML consultation outside your team for other problem statements. If you are excited by this charter, come join us! Basic Qualifications 3+ years of building machine learning models for business application experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Preferred Qualifications Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Master's degree in math/statistics/engineering or other equivalent quantitative discipline, or PhD Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana Job ID: A2923787

DESCRIPTION At Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cuttingedge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities The candidate actively seeks to understand Amazon’s core business values and initiatives, and translates those into everyday practices. Some of the key result areas include, but not limited to: Experience in managing process and operational escalations Driving appropriate data oriented analysis, adoption of technology solutions and process improvement projects to achieve operational and business goal Managing stakeholder communication across multiple lines of business on operational milestones, process changes and escalations Communicate and take the lead role in identifying gaps in process areas and work with all stakeholders to resolve the gaps Be a SME for the process and a referral point for peers and junior team members Has the ability to drive business/operational metrics through quantitative decision making, and adoption of different tools and resources Ability to meet deadlines in a fast paced work environment driven by complex software systems and processes Ability to perform deep dive in the process and come up with process improvement solutions Shall collaborate effectively with other teams and subject matter experts (SMEs), Language Engineers (LaEs) to support launches of new process and services BASIC QUALIFICATIONS A Bachelor’s Degree and relevant work experience of 3+ years. Excellent level of English and Spanish, C1 level or above. Candidate must demonstrate ability to analyze and interpret complex SOPs. Excellent problem-solving skills with a proactive approach to identifying and implementing process improvements. Strong communication and interpersonal skills to effectively guide and mentor associates. Ability to work collaboratively with cross-functional teams. Thoroughly understand multiple SOPs and ensure adherence to established processes. Identify areas for process improvement and SOP enhancement, and develop actionable plans for implementation. Lead and participate in process improvement initiatives. Comfortable working in a fast paced, highly collaborative, dynamic work environment · Willingness to support several projects at one time, and to accept re-prioritization as necessary. Adaptive to change and able to work in a fast-paced environment. PREFERRED QUALIFICATIONS Experience with Artificial Intelligence interaction, such as prompt generation. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, HR, Gurugram Editorial, Writing, & Content Management

DESCRIPTION Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. BASIC QUALIFICATIONS Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in French language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA PREFERRED QUALIFICATIONS Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, TN, Chennai IND, HR, Gurugram Editorial, Writing, & Content Management

Weavers Web Solutions Private Limited is looking for a highly skilled and experienced Python AI/ML Developer to join our growing team. You will be working on cutting-edge projects in AI, machine learning, and data analytics, helping us build intelligent systems that drive business success. The ideal candidate will have a strong background in Python programming, machine learning algorithms, data analysis, and model deployment. Key Responsibilities: Design, implement, and maintain scalable AI/ML models using Python. Collaborate with cross-functional teams to define project goals, data requirements, and deliverables. Develop machine learning pipelines for data preprocessing, feature engineering, model training, evaluation, and deployment. Optimize existing ML models for better performance, scalability, and efficiency. Stay updated with the latest trends in AI/ML technologies and apply them to real-world projects. Use libraries such as TensorFlow, Keras, Scikit-learn, Pandas, NumPy, and others to build models. Work with big data platforms and tools like Hadoop, Spark, and cloud-based services. Document solutions, processes, and best practices for team collaboration and knowledge sharing. Conduct data analysis, visualization, and reporting for business insights. Ensure model reproducibility and track experiment results using version control systems like Git. Provide technical leadership and mentoring to junior developers on AI/ML best practices. Required Skills and Qualifications: Experience: Minimum of 4 years of professional experience as an AI/ML Developer or Data Scientist. Programming Skills: Strong proficiency in Python, including experience with libraries such as Pandas, NumPy, SciPy, Scikit-learn, and TensorFlow/PyTorch. Machine Learning Algorithms: In-depth understanding of supervised and unsupervised learning, deep learning, natural language processing (NLP), reinforcement learning, etc. Model Development: Experience in building and deploying AI/ML models in production environments. Data Handling: Solid understanding of data preprocessing, feature extraction, and data normalization. Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Version Control: Proficiency with Git or similar version control systems. Problem Solving: Strong analytical and problem-solving skills with a passion for working with large datasets. Communication Skills: Ability to explain complex technical concepts to non-technical stakeholders and collaborate effectively with cross-functional teams. Job Types: Full-time, Permanent Pay: ₹35,000.00 - ₹55,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Work Location: In person

We are looking for a highly skilled Python Developer with solid experience in Artificial Intelligence (AI), Machine Learning (ML) , and Generative AI . The ideal candidate will have hands-on experience working with GPT-4 , transformer models , and deep learning frameworks , and a strong understanding of model fine-tuning, deployment, and inference. Key Responsibilities: Design, develop, and maintain Python applications focused on AI/ML and generative AI. Build and fine-tune transformer-based models (e.g., GPT, BERT, T5) for various NLP and generative tasks. Work with large-scale datasets for training and evaluation. Implement model inference pipelines and scalable APIs using FastAPI, Flask, or similar. Collaborate with data scientists and ML engineers to build end-to-end AI solutions. Stay current with recent research and developments in the field of generative AI and ML. Required Skills and Experience: Strong proficiency in Python and relevant libraries (NumPy, Pandas, Scikit-learn, etc.) 3–7+ years of experience in AI/ML development. Hands-on experience with transformer-based models , especially GPT-4 , LLMs , or diffusion models . Familiarity with Hugging Face Transformers , OpenAI API , or similar frameworks. Experience with TensorFlow , PyTorch , or JAX . Experience deploying models using Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure). Strong problem-solving and algorithmic thinking. Familiarity with prompt engineering, fine-tuning, and reinforcement learning with human feedback (RLHF) is a plus.

Company Description We suggest you enter details here Role Description This is a full-time role for an AI/ML Developer, to be filled immediately. Located on-site in Chennai, the AI/ML Developer will be responsible for developing and deploying machine learning models, designing and implementing AI algorithms, and collaborating with team members to integrate AI solutions into various projects. The role involves working on data preprocessing, feature engineering, and model evaluation to ensure optimal performance. Qualifications Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras Proficiency in programming languages like Python, R, or Java Strong understanding of data structures and algorithms Developmemt of AI and ML concepts, including LLM, fien turning , supervised and unsupervised learning, reinforcement learning, and neural networks Experience with data preprocessing, feature engineering, and model evaluation techniques Excellent problem-solving skills and ability to work collaboratively in a team environment Bachelor's degree in Computer Science, Engineering, or related field 2-4 years of experience in AI/ML development roles Familiarity with tools and libraries such as NumPy, SciPy, pandas, scikit-learn, or Matplotlib

Job Title: Python Backend Developer - FastAPI, PostgreSQL, Pattern Recognition Location: Remote / Hybrid Type: Full-time Experience: 3 to 7 Years Compensation: USDT only | Based on skill and performance About Us: We are a cutting-edge fintech startup building an Al-powered trading intelligence platform that integrates technical analysis, machine learning, and real-time data processing. Our systems analyze financial markets using custom algorithms to detect patterns, backtest strategies, and deploy automated insights. We're seeking a skilled Python Backend Developer experienced in FastAPI, PostgreSQL, pattern recognition, and financial data workflows. Key Responsibilities Implement detection systems for chart patterns, candlestick patterns, and technical indicators (e.g.,RSI, MACD, EMA) Build and scale high-performance REST APIs using FastAPI for real-time analytics and model communication Develop semi-automated pipelines to label financial datasets for supervised/unsupervised ML models Implement and maintain backtesting engines for trading strategies using Python and custom simulation logic Design and maintain efficient PostgreSQL schemas for storing candle data, trades, indicators, and model metadata (Optional) Contribute to frontend integration using Next.js/React for analytics dashboards and visualizations Key Requirements Python (3-7 years): Strong programming fundamentals, algorithmic thinking, and deep Python ecosystem knowledge FastAPI: Proven experience building scalable REST APIs PostgreSQL: Schema design, indexing, complex queries, and performance optimization Pattern Recognition: Experience in chart/candlestick detection, TA-Lib, rule-based or ML-based identification systems Technical Indicators: Familiarity with RSI, Bollinger Bands, Moving Averages, and other common indicators Backtesting Frameworks: Hands-on experience with custom backtesting engines or libraries like Backtrader, PyAlgoTrade Data Handling: Proficiency in NumPy, Pandas, and dataset preprocessing/labeling techniques Version Control: Git/GitHub - comfortable with collaborative workflows Bonus Skills Experience in building dashboards with Next.js / React Familiarity with Docker, Celery, Redis, Plotly, or TradingView Charting Library Previous work with financial datasets or real-world trading systems Exposure to Al/ML model training, SHAP/LIME explainability tools, or reinforcement learning strategies Ideal Candidate Passionate about financial markets and algorithmic trading systems Thrives in fast-paced, iterative development environments Strong debugging, data validation, and model accuracy improvement skills Collaborative mindset - able to work closely with quants, frontend developers, and ML engineers What You'll Get Opportunity to work on next-gen fintech systems with real trading applications Exposure to advanced AI/ML models and live market environments Competitive salary + performance-based bonuses Flexible working hours in a remote-first team

About Company: our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.They helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Job Description: Job Title: Java Developer Location : Pan India Experience: 5+ yrs. Employment Type: Contract to hire. Work Mode: Hybrid Notice Period: - Immediate joiners only Roles and Responsibilities: Minimum 6+ years of overall experience Strong experience with at least one of the following languages: Java Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.

About Client : Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. They helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Job Title: Sr. C++ Location: Pan India Experience:6+ years Employment Type: Contract to hire Work Mode: Remote Notice Period: Immediate joiners Required Skills: Strong experience with C++ Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases . Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.

Company Description Qpro Design Consultants Pvt Ltd is a boutique consulting firm specializing in Integrated Building Management Systems (IBMS), Mechanical, Electrical, and Plumbing (MEP), Sustainability consultancy, and Building Information Modeling (BIM). Our expertise lies in providing cutting-edge solutions to enhance the efficiency and sustainability of building projects. Job Description: Structural Draftsman cum BIM Modeller **Location:** Chennai or Navi Mumbai **Experience:** Minimum 5 Years **Employment Type:** Full-time About the Role We are seeking a highly skilled and experienced Structural Draftsman cum BIM Modeller to join our growing team in Chennai or Navi Mumbai. The ideal candidate will have at least 5 years of hands-on experience in structural drafting and 3D BIM modelling, particularly in infrastructure projects such as bridges, metros, and other transport-related structures. You will be responsible for preparing detailed drawings, reinforcement detailing, and bar bending schedules (BBS), working across both steel and RCC structures. Key Responsibilities · Prepare detailed structural drawings for bridges, viaducts, metro stations, and similar infrastructure. · Develop accurate 3D BIM models using industry-standard software such as Revit or Tekla. · Generate reinforcement detailing and bar bending schedules in accordance with project specifications and standards. · Coordinate with design engineers to understand and implement design intent. · Ensure compliance with relevant codes (IS, IRC, Eurocodes, etc.). · Maintain and update drawing records, logs, and revision history. · Assist in clash detection, quantity take-off, and documentation in BIM workflows. · Collaborate with multidisciplinary teams (structural, architectural, MEP) to deliver integrated models. Required Skills and Qualifications · Diploma or Degree in Civil / Structural Engineering or related field. · 5+ years of experience in structural drafting and BIM modelling for infrastructure projects. · Proficiency in AutoCAD, Revit, and preferably Tekla Structures or similar BIM tools. · Strong knowledge of reinforcement detailing and bar bending schedule (BBS) preparation. · Experience working with both RCC and steel structures. · Familiarity with BIM execution plans and workflows. · Ability to read and interpret structural and construction drawings independently. · Good communication and coordination skills. Preferred Background · Prior experience in metro rail, highway bridges, rail overbridges, or infrastructure EPC/consulting firms. · Understanding of BIM Level 2 standards and collaborative platforms like BIM 360. Work Location Chennai or Navi Mumbai (Candidates must be open to working in either location depending on project requirement.) Compensation Competitive salary based on experience and industry standards. If you are passionate about infrastructure and have the skills to bring detailed designs to life, we would love to hear from you.

Sales Planning Analyze the growth pattern of pan India Branch Banking ; gather market awareness and intelligence on the growth of partner banks in the across all verticals. Receive the finalized targets from the superior, business outlook and vertical’s overall growth strategy Devise month wise strategy with the team and analyze key challenges / opportunities; propose steps for leveraging the available resources in the best possible manner to drive the sales targets Analyze, review, and communicate the breakdown of overall partner Bank relationship target across all the sub verticals of the channel. Analyze the growth pattern of the assigned circle; gather market awareness and intelligence on the growth of the partner banks in the circle; discuss the same with the team and propose the sales target to the superior. Receive the finalized target (design target) from the superior basis past year’s performance, business outlook and vertical’s overall growth strategy. Devise month wise strategy with the team and analyze key challenges / opportunities; propose steps for leveraging the available resources in the best possible manner to drive the sales targets. Analyze, review, and communicate the breakdown of overall circle’s target to the branches and units, and across the team as established. B) Regional Heads Review Monitor key metrics and targets across the verticals daily on conference call; track daily achievement against set targets. Understand challenges / issues and propose effective solutions to tackle the same Identify and analyze daily opportunities and drive team to drive closure for the same; provide guidance in critical in addressing difficult / critical aspects of sales closure Drive monthly meets, to discuss the verticals performance during the month, targets for the upcoming month; recognize top performers and discuss key learnings Regularly track key parameters governing effective sales in the vertical and analyze low performing zones and stake holders; understand issues and guide effective resolution Constantly analyze trends and forecast events in case of deviations from planned, if any and share the information with the superior on a timely basis Participate in verticals sales reviews at set frequencies with the superior to provide overview of performance of the circle; highlight complex issues and team achievements, share key learnings from the verticals with regional heads to ensure effective knowledge sharing Key Stakeholder Management Engage with top officials of the partner banks in the verticals on a regular basis; share key developments in the industry along with product information in order to showcase organization credentials. Drive collaboration with other internal functions like Claims / Underwriters / operations in cases requiring cross-functional intervention; ensure that any issue is resolved in an effective manner Direct and train team in managing key relationships with the partner bank Loan centers Monthly sales planning with key stake holders of the partner bank to push for business from given geography. Ensuring regular updates on business development provided to vertical head and bank’s key personnel. Analyze team attrition patterns, understand risk profile of team, and drive focused interventions to retain team members Sales Training Lead training efforts in the circle for upskilling of team to better deliver in terms of sales calls, customer management, sales planning, customer service, etc. Provide directions in planning and coordination of training efforts for team. Conduct training programs / sessions for the team, on the market, conversion, products, product adaptation to the market, etc. Oversee execution of rewards and recognition policies to ensure reinforcement of right behaviors among team members Motivate and retain key talent in the sales hierarchy and build a strong leadership pipeline in the region Process Improvement Explore avenues of driving sales more efficiently by employing market analytics / insights Tailor the products in a way to make them more targeted to the partner bank verticals; support different internal teams to come up with innovations / process improvement and drive its implementation for effective sales delivery Team Development and Engagement Establish individual performance expectations and evaluation metrics, and regularly review individual performance Share information regarding business and key developments with the team proactively; guide them in utilizing their skills in the best possible manner Understand team grievances and guide for their effective resolution Identify and create development opportunities for team members to enhance functional knowledge

Company Description Spandsons Horizon Engineering revolutionizes the AEC industry by integrating sustainability, AI, IoT, and innovative technologies into project management, Virtual Design Construction, and training programs. We are committed to enhancing efficiency, sustainability, and innovation in the construction and engineering sectors. Our training programs are designed to equip professionals with cutting-edge skills. Join us in leading the technological transformation in the AEC industry. Job Description: Mentors AI/ML, Generative AI, Digital Marketing & Business Analytics Location: MUIT Campus / Remote Position Type: Part-Time / Visiting Faculty / Mentorship Basis Experience Required: 2–5 Years (Varies by role) Number of Openings: 4 Mentors (One for each domain) About the Opportunity: We are inviting applications for passionate and industry-experienced professionals to mentor students in the following domains: 1. Artificial Intelligence & Machine Learning 2. Generative AI 3. Digital Marketing 4. Business Analytics Selected mentors will be responsible for guiding students through real-time industry applications, project development, and providing hands-on knowledge to bridge the academic-industry gap. Key Responsibilities (Across All Roles): Deliver interactive sessions, workshops, and mentorship in your specialized domain. Guide students on capstone and live projects. Support learners in mastering tools, technologies, and best practices. Stay up to date with trends and align content with industry demands. Provide feedback and evaluation of student progress. Participate in curriculum enrichment discussions. Domain-Specific Requirements: 🔹 Artificial Intelligence & Machine Learning (AI/ML) Expertise in supervised, unsupervised, and reinforcement learning. Hands-on experience with Python, Scikit-learn, TensorFlow, Keras, etc. Good understanding of algorithm optimization and model deployment. 🔹 Generative AI Practical knowledge of LLMs, GANs, GPT, and prompt engineering. Experience working with tools like OpenAI GPT-3/4, Midjourney, or Stable Diffusion. Strong understanding of use cases in content creation, automation, and AI innovation. 🔹 Digital Marketing Knowledge of SEO, SEM, social media marketing, content strategy, and email marketing. Ability to guide students in running Google Ads/Facebook campaigns. Familiarity with tools like Google Analytics, Canva, HubSpot, etc. 🔹 Business Analytics Proficiency in Excel, SQL, Tableau, Power BI, and statistical analysis. Ability to teach data storytelling and business problem-solving using analytics. Experience in consulting, business intelligence, or data-driven decision making. General Qualifications: Bachelor's/Master’s/Ph.D. in relevant field. Minimum 2–5 years of relevant industry/academic experience. Strong mentoring, communication, and analytical skills. A passion for teaching and fostering innovation in students. What We Offer: Flexibility in schedule (as per availability). Recognition for mentoring in a reputed academic setting. Opportunity to network with industry experts and academia. Certificate of Appreciation and possible long-term association.

Company Description BETSOL is a cloud-first digital transformation and data management company offering products and IT services to enterprises in over 40 countries. BETSOL team holds several engineering patents, is recognized with industry awards, and BETSOL maintains a net promoter score that is 2x the industry average. BETSOL’s open source backup and recovery product line, Zmanda (Zmanda.com), delivers up to 50% savings in total cost of ownership (TCO) and best-in-class performance. BETSOL Global IT Services (BETSOL.com) builds and supports end-to-end enterprise solutions, reducing time-to-market for its customers. BETSOL offices are set against the vibrant backdrops of Broomfield, Colorado and Bangalore, India. We take pride in being an employee-centric organization, offering comprehensive health insurance, competitive salaries, 401K, volunteer programs, and scholarship opportunities. Office amenities include a fitness center, cafe, and recreational facilities. Job Description We are seeking experienced Python developers to join an exciting AI project supporting one of the world's top 15 companies. This role involves reviewing and validating AI-generated code to ensure quality, accuracy, and adherence to industry standards. As a Python Code Reviewer , you will be responsible for auditing and validating AI-generated Python code evaluations. This critical role ensures that AI outputs meet high standards for functionality, clarity, and correctness while adhering to specific project guidelines. Key Responsibilities Code Review & Validation: Evaluate AI-generated Python code snippets for accuracy, functionality, and adherence to prompt instructions Quality Assurance: Review annotator assessments and ensure all evaluations meet internal quality benchmarks Feedback & Documentation: Provide clear, actionable feedback on incorrect assessments and document technical issues Testing & Validation: Validate code functionality using proof-of-work methodologies and Docker-based sandbox environments Process Improvement: Identify patterns in evaluation errors and contribute to continuous quality enhancement Compliance: Ensure all reviews align with established project guidelines and frameworks Qualifications Required Qualifications Technical Requirements 5-7+ years of hands-on Python development experience Deep Python expertise including syntax, testing strategies, debugging, and edge case handling Docker experience for containerized testing and isolated code validation environments QA background with structured workflows, annotation processes, or similar review pipelines Professional Requirements Excellent written communication skills with ability to document and explain technical concepts clearly Professional English fluency (B2+ level or above) Independent work capability with strong attention to detail Immediate availability to start Preferred Qualifications Experience with AI/ML model evaluation, reinforcement learning (RLHF), or large language model tuning Familiarity with annotation tools or data labeling platforms Knowledge of secure coding practices and environment replication Previous experience in code review or technical auditing roles

Job Description Lead the design and development of robust machine learning and deep learning architectures tailored to solve real-world business challenges. Build and optimize models using frameworks like TensorFlow, PyTorch, and Keras, ensuring high accuracy and performance. Architect and oversee end-to-end data pipelines, including data ingestion, preprocessing, and feature engineering for AI workloads. Research, prototype, and productionize novel algorithms in areas such as computer vision, NLP, and reinforcement learning. Deploy models using cloud platforms (AWS/Azure/GCP), leveraging GPU/TPU infrastructure, and integrating into CI/CD workflows using Docker and other tools. Tune hyperparameters, manage model drift, and implement monitoring to ensure sustained model performance in production. Collaborate with engineering, data science, and product teams to align AI initiatives with business goals. Ensure robust documentation, version control, and adherence to MLOps principles throughout the development lifecycle. Stay ahead of trends in AI/ML and guide the team on best practices, tools, and frameworks. Requirements Required Skills and Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related technical field. Experience: 4–5 years of experience in developing and deploying machine learning or deep learning solutions in real-world environments. Technical Expertise: Proficient in Python and ML libraries: NumPy, Pandas, Scikit-learn, Matplotlib, etc. Deep experience with TensorFlow, PyTorch, and Keras. Strong grasp of neural networks, CNNs, RNNs, Transformers, and GANs. Experience with GPU/TPU acceleration, model optimization, and distributed training. Familiarity with cloud platforms (AWS, Azure, or GCP) for scalable AI deployments. Hands-on with Docker, version control, and CI/CD tools for deployment automation. Experience in NLP, Computer Vision, or Reinforcement Learning projects is a strong plus. Preferred Traits: Strong problem-solving and architectural thinking Ability to work in agile, cross-functional teams Passion for innovation and applying AI to business use cases