2025 Reinforcement Jobs - Page 6

Structural Modeller - Creating and developing BIM structural Model independently – Must have Prepare 2D/3D reinforcement drawings – Must have create a 3D structural model- Must have Creating Revit families on own- Must have Experience on building projects- Must have setting up a BIM model on BIM 360/ACC - At least should be aware

AI/ML Engineer Responsibilities: - Design, build, and deploy advanced machine learning models and algorithms to solve complex problems in various domains, such as natural language processing, computer vision, and predictive analytics. - Collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to identify opportunities for leveraging company data to improve business outcomes. - Perform data mining and feature extraction using advanced statistical and machine learning techniques. - Evaluate and validate the performance of machine learning models using appropriate metrics and techniques. - Optimize and fine-tune machine learning models for optimal performance in production environments. - Stay up-to-date with the latest advancements in machine learning and artificial intelligence research. - Contribute to the development of best practices in machine learning and share knowledge with peers and junior team members. - Provide technical leadership and mentoring to other team members as needed. Requirements: - 4+ years of experience in developing and deploying machine learning models in a professional setting. - Strong understanding of various machine learning algorithms, such as linear regression, logistic regression, decision trees, SVM, neural networks, ensemble methods, and reinforcement learning. - Demonstrated experience in working with large datasets and using big data technologies, such as Hadoop, Spark, and distributed computing. - Proficient in programming languages, such as Python. - Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn. - Familiarity with data visualization tools, such as Tableau, Matplotlib, or D3.js. Preferred Qualifications: - Experience in working with cloud platforms, such as AWS, Google Cloud, or Azure. - Knowledge of natural language processing, computer vision, or deep learning techniques. - Experience developing end-to-end machine learning pipelines, from data gathering and preprocessing to model deployment and monitoring.

Software Engineer, AI — Code Evaluation & Training (Remote) List of accepted countries and locations Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages: Compare & rank multiple code snippets , explaining which is best and why. Repair & refactor AI-generated code for correctness, efficiency, and style. Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly. End result: the model learns to propose, critique, and improve code the way you do. RLHF in one line Generate code ➜ expert engineers rank, edit, and justify ➜ convert that feedback into reward signals ➜ reinforcement learning tunes the model toward code you’d actually ship. What You’ll Need 3+ years of professional software engineering experience in Swift (Constraint programming experience is a bonus, but not required) Strong code-review instincts —you can spot logic errors, performance traps, and security issues quickly. Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. This cannot be overstated. You enjoy reading documentation and language specs and thrive in an asynchronous, low-oversight environment. What You Don’t Need No prior RLHF (Reinforcement Learning with Human Feedback) or AI training experience. No deep machine learning knowledge. If you can review and critique code clearly, we’ll teach you the rest. Tech Stack We are looking for engineers with a strong command of Swift . Logistics Location: Fully remote — work from anywhere Compensation: From $30/hr to $70/hr, depending on location and seniority Hours: Minimum 15 hrs/week, up to 40 hrs/week available Engagement: 1099 contract Straightforward impact, zero fluff. If this sounds like a fit, apply here!

Software Engineer, AI — Code Evaluation & Training (Remote) List of accepted countries and locations Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages: Compare & rank multiple code snippets , explaining which is best and why. Repair & refactor AI-generated code for correctness, efficiency, and style. Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly. End result: the model learns to propose, critique, and improve code the way you do. RLHF in one line Generate code ➜ expert engineers rank, edit, and justify ➜ convert that feedback into reward signals ➜ reinforcement learning tunes the model toward code you’d actually ship. What You’ll Need 3+ years of professional software engineering experience in Go (Constraint programming experience is a bonus, but not required) Strong code-review instincts —you can spot logic errors, performance traps, and security issues quickly. Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. This cannot be overstated. You enjoy reading documentation and language specs and thrive in an asynchronous, low-oversight environment. What You Don’t Need No prior RLHF (Reinforcement Learning with Human Feedback) or AI training experience. No deep machine learning knowledge. If you can review and critique code clearly, we’ll teach you the rest. Tech Stack We are looking for engineers with a strong command of Go . Logistics Location: Fully remote — work from anywhere Compensation: From $30/hr to $70/hr, depending on location and seniority Hours: Minimum 15 hrs/week, up to 40 hrs/week available Engagement: 1099 contract Straightforward impact, zero fluff. If this sounds like a fit, apply here!

Software Engineer, AI — Code Evaluation & Training (Remote) List of accepted countries and locations Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages: Compare & rank multiple code snippets , explaining which is best and why. Repair & refactor AI-generated code for correctness, efficiency, and style. Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly. End result: the model learns to propose, critique, and improve code the way you do. RLHF in one line Generate code ➜ expert engineers rank, edit, and justify ➜ convert that feedback into reward signals ➜ reinforcement learning tunes the model toward code you’d actually ship. What You’ll Need 3+ years of professional software engineering experience in TypeScript (Constraint programming experience is a bonus, but not required) Strong code-review instincts —you can spot logic errors, performance traps, and security issues quickly. Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. This cannot be overstated. You enjoy reading documentation and language specs and thrive in an asynchronous, low-oversight environment. What You Don’t Need No prior RLHF (Reinforcement Learning with Human Feedback) or AI training experience. No deep machine learning knowledge. If you can review and critique code clearly, we’ll teach you the rest. Tech Stack We are looking for engineers with a strong command of TypeScript . Logistics Location: Fully remote — work from anywhere Compensation: From $30/hr to $70/hr, depending on location and seniority Hours: Minimum 15 hrs/week, up to 40 hrs/week available Engagement: 1099 contract Straightforward impact, zero fluff. If this sounds like a fit, apply here!

Software Engineer, AI — Code Evaluation & Training (Remote) List of accepted countries and locations Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages: Compare & rank multiple code snippets , explaining which is best and why. Repair & refactor AI-generated code for correctness, efficiency, and style. Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly. End result: the model learns to propose, critique, and improve code the way you do. RLHF in one line Generate code ➜ expert engineers rank, edit, and justify ➜ convert that feedback into reward signals ➜ reinforcement learning tunes the model toward code you’d actually ship. What You’ll Need 3+ years of professional software engineering experience in C# (Constraint programming experience is a bonus, but not required) Strong code-review instincts —you can spot logic errors, performance traps, and security issues quickly. Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. This cannot be overstated. You enjoy reading documentation and language specs and thrive in an asynchronous, low-oversight environment. What You Don’t Need No prior RLHF (Reinforcement Learning with Human Feedback) or AI training experience. No deep machine learning knowledge. If you can review and critique code clearly, we’ll teach you the rest. Tech Stack We are looking for engineers with a strong command of C# . Logistics Location: Fully remote — work from anywhere Compensation: From $30/hr to $70/hr, depending on location and seniority Hours: Minimum 15 hrs/week, up to 40 hrs/week available Engagement: 1099 contract Straightforward impact, zero fluff. If this sounds like a fit, apply here!

Key Responsibilities · Design, build, and deploy advanced ML models (regression, classification, NLP, etc.). · Architect and implement deep learning pipelines using PyTorch or TensorFlow. · Develop and fine-tune LLM-based applications (e.g., RAG pipelines, prompt engineering, embeddings). · Lead and mentor junior data scientists and drive code quality and reuse. · Apply MLOps practices: CI/CD for ML, model monitoring, reproducibility. · Write basic SQL queries to support data processing and feature engineering. · Collaborate cross-functionally with product, engineering, and data engineering teams. Requirements · 5+ years of experience in machine learning and AI. · Expert in Python, data science libraries, and deep learning frameworks. · Strong knowledge of regression, classification, optimization algorithms, and evaluation metrics. · Hands-on experience with PyTorch or TensorFlow (preferably both). · Proven experience working with LLMs and prompt-based models. · Experience in MLOps and deploying ML models to production. · Basic proficiency in SQL for querying structured data. · Proficient in using Git/GitHub for collaborative development. Good to Have · Experience building or integrating AI agents using LangChain, AutoGen, or similar tools. · Knowledge or experience with reinforcement learning algorithms. Activities: 1. Data Engineering -code optimization 2. Feature Eng -code optimization 3. Model training -code optimization 4. API creation, make it deployable 5. Audit, logging, perf & drift handling 6. Deployment and Support

Role Description This is a full-time remote role for an AI Research Engineer specializing in Reinforcement Learning (RL). The AI Research Engineer will be responsible for developing and implementing state-of-the-art RL algorithms, collaborating on research projects, and integrating these algorithms into existing systems. Qualifications Full-stack engineering, from data engineering to model architecture, RL and deployment. Experience with performance engineering and identifying bottlenecks in RL training. Experience with tuning reward functions, hyper-parameters and exploration strategies to solve complex tasks with deep RL. 8+ years of Python programming experience. Nice to have Advanced degree (MS or PhD) in Computer Science or related field Experience with k8s, docker, GPU Performance / systems engineering and model inference.

About Pro-Manage Pro-Manage is a pioneering tech- and AI-based Marketing-as-a-Service platform developed to serve multi-location enterprise clients increase, manage and measure digital engagement opportunities with prospects and customers, leveraging several valuable business and technology partnerships with global leaders such as Google GMB/Chat, Microsoft Bing, Meta WhatsApp/Instagram, Knowlarity Cloud telephony and others. Pro-Manage is a powerful and sophisticated marketing SaaS platform that has attracted highly regarded brands as its clients: Indian Oil, Shriram Finance, Apollo Pharmacy, Naturals, Sterling Resorts, Muthoot Finance, Aadhaar Housing Finance, Shriram Transport Finance, City Union Bank, O2 Spa, Page 3 Salons, Urban Nomads, CADD Centre and more. ProManage is developed using advanced technologies, design thinking, continuous discovery, agile development and product management methodologies. The cross-functional Pro-Manage team uses integrated customer-centric product-led marketing and growth paradigms designed to attract and retain targeted customers, maximizing life-time value and minimizing customer acquisition efforts and costs. Pro-Manage is developed and offered by Sulekha, one of India’s largest digital business and consumer brands that has transformed local services ecosystem through a AI-based need fulfillment and monetization platform that generates millions of qualified, parameterized service requests to local service SMBs every day in 40 cities. Pro-Manage aspires to be the dominant, industry-leading and technologically the most sophisticated marketing SaaS platform in India with 500+ enterprise customers in the next two years. Pro-Manage and Sulekha have three of the most well-regarded firms as its investors: Norwest Venture Partners (Palo Alto, US), Mitsui (Tokyo), and GIC (sovereign wealth fund of Singapore). Roles & responsibilities: Design, Architect, and Develop software solutions based on suitable design patterns. Adopt new and emerging technologies to provide solutions. Collaborate with cross-functional teams to understand business requirements and translate them into machine learning problems. Work alongside data scientists and software engineers to integrate machine learning models into production systems. Identify technical issues and provide resolution. Design, develop, and implement machine learning models for various business applications, including predictive analytics, recommendation systems, natural language processing, and computer vision. Stay up to date with the latest advancements in AI and machine learning techniques. Ensure that machine learning pipelines and systems are scalable, efficient, and robust. Excellent communication and interpersonal skills. Qualifications BE / Master’s in computer science or any degree. Critical Skills Proven experience as a Machine Learning Engineer, AI Engineer, or similar role (typically 2+ years). Experience writing software in Python, Scala, R, or similar. Familiarity with cloud platforms like AWS, Google Cloud or Microsoft Azure for deploying models at scale. Solid understanding of machine learning algorithms (supervised and unsupervised learning, deep learning, reinforcement learning, etc.). Experience with data structures, algorithms, and software design. Experience in using any LLM models in real-time projects. Proven ability to work as part of cross-functional delivery teams in an Agile delivery environment. Work in a dynamic, collaborative, non-hierarchical environment where your talent is valued over your job title or years of experience. Strong problem-solving skills with the ability to think critically and creatively. Ability to break down complex business problems into machine learning solutions. Desired skills Experience with machine learning libraries and frameworks. Expertise in data manipulation and analysis. Experience with big data technologies. STS (Speech to Text & Text to Speech) #ASR (Automated Speech Recognition) Engine Exposure. Great OOPS skills, including strong design patterns knowledge. Familiarity with relational databases, NoSQL. Out-of-the-box thinking, and in-depth problem-solving. Personal skills Result- and outcome-orientation High degree of enthusiasm, dynamism, and drive to succeed Capacity for hard work and perseverance Maturity to collaborate with peers to achieve overall success Capability to nurture and motivate direct reports to high success

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: Azure Cloud Solution Architect Location: Pan India Experience:8+ years Employment Type: Contract to hire Work Mode: Remote Notice Period: Immediate joiners Job Description: We are looking for an experienced Azure Cloud Solution Architect (8+ years) for a contract role to support solution design, implementation, and migration activities across client environments. Key Responsibilities: Design and implement Azure cloud solutions (10%) Setup Azure Landing Zones and Disaster Recovery (20%) Integrate with on-premises technologies (10%) Apply Azure Well-Architected Framework (live implementation examples) (10%) Implement Azure Security services and best practices (20%) Manage Azure IAM, RBAC, and Conditional Access (10%) Plan and execute Azure/cloud migrations (20%)

Role Overview We are looking for a proactive and detail-oriented Quantity Surveyor to join our team. The selected candidate will play a dual role, supporting tender estimations during the pre-bid stage, and preparing detailed Bill of Quantities (BoQ) for projects designed in-house. The ideal candidate should have a good understanding of highway and bridge engineering drawings and relevant codes. Prior experience in highway or bridge infrastructure projects will be preferred. Key Responsibilities 1. Pre-Bid Tender Estimation 2. Review and interpret tender documents, schedules, General Arrangement Drawings (GADs), and technical specifications 3. Prepare preliminary BoQ based on schematic or tender drawings 4. Coordinate with engineering team to finalize assumptions and clarify ambiguities in quantities 5. Maintain and update material rates and quantity databases 6. Post-Award Quantity Take-Offs 7. Read and interpret final IFC/approved drawings for accurate quantity take-off 8. Extract quantities related to highways and structural elements including RCC, prestressing, reinforcement, bearings, etc. 9. Coordinate with design and drafting teams to ensure accuracy and consistency 10. Prepare structured and itemized BoQs for client submissions, tender support, or project billing 11. Coordinate with external clients as and when required Skills & Qualifications 1. Diploma or Bachelor’s degree in Civil Engineering or Quantity Surveying 2. 2–3 years of relevant experience in infrastructure or infrastructure design-based quantity surveying 3. Prior experience in highway projects will be an added advantage 4. Strong proficiency in reading technical drawings and GFC documents 5. Hands-on experience with Excel; knowledge of AutoCAD or any BoQ preparation software is a plus 6. Familiarity with IRC/IS codes and construction practices for bridges/highways is desirable 7. Strong analytical skills, attention to detail, and ability to work with minimal supervision

You might be a fit if you have ● 5 + yrs production ML / data-platform engineering (Python or Go/Kotlin). ● Deployed agentic or multi-agent systems (e.g., micro-policy nets, bandit ensembles) and reinforcement-learning pipelines at scal (ad budget, recommender, or game AI). ● Fluency with BigQuery / Snowflake SQL & ML plus streaming (Kafka / Pub/Sub). ● Hands-on LLM fine-tuning using LoRA/QLoRA and proven prompt-engineering skills (system / assist hierarchies, few-shot, prompt compression). ● Comfort running GPU & CPU model serving on GCP (Vertex AI, GKE, or bare-metal K8s). ● Solid causal-inference experience (CUPED, diff-in-diff, synthetic control, uplift). ● CI/CD, IaC (Terraform or Pulumi) & observability chops (Prometheus, Grafana). ● Bias toward shipping working software over polishing research papers. Bonus points for: ● Postal/geo datasets, ad-tech, or martech domain exposure. ● Packaging RL models as secure micro-services. ● VPC-SC, NIST, or SOC-2 controls in a regulated data environment. ● Green-field impact – architect the learning stack from scratch. ● Moat-worthy data – 260 M+ US consumer graph tying offline & online behavior. ● Tight feedback loops – your models go live in weeks, optimizing large amounts of marketing spend daily.

Job Description About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. AI/ML Ops Professional - Extensive experience in developing and deploying machine learning models and algorithms. Proven Track record in solving complex problems using AI/ML in various domains such as natural language processing, computer vision, or reinforcement learning. Sector expert to guide on R&D, usage of AI/ML including Natural Language Processing (NLP), Generative AI, etc Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. Qualifications BE/BTech/ME/Mtech in CS/IT/CE or MCA or M.Sc. IT/CS

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre 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 Youll Be Doing... The Consultant Training Delivery is a Trainer-of-Trainer role responsible for facilitating trainer/instructor certifications. Equip and support trainers/instructors, internal and/or external, with the knowledge, skills, and behaviors they need to be successful in delivering training solutions to learners. This role is expected to take part in trainer/instructor quality assurance processes to ensure a successful experience for learners and overall business success. Training Delivery and Preparation Training and certifying Verizon trainers and/or partner trainer/instructors to deliver successful training programs across Verizons broad training curriculum using a variety of learning methodologies, media, and materials across multiple functional workgroups. Equipping trainers/instructors with high-level technical and functional knowledge, skills, and behavior relevant to their training program. Ensuring that trainers/instructors demonstrate strong facilitation skills to deliver training effectively. Infusing Verizon nuances into knowledge transition so that learning experiences are in alignment with Verizon strategy. Having a learner-centered mindset in order to continuously ensure that an optimal experience is being created for learners. Facilitating trainer/instructor certifications as scheduled. Providing trainers/instructors with continuous coaching and reinforcement for learning journey objectives. Working with Verizon instructional designers to ensure that certification documentation (e.g., Learning Album Leader Guides, supporting collateral) are effective for trainers/instructors. Consulting Managing and supporting strategic relationships with local Verizon channel leaders (internal) and/or Partner site leaders (external). Providing feedback and guidance to trainers/instructors and their leaders to ensure Verizon expectations are met. Observing and rating trainers/instructors to ensure trainers/instructors meet Verizon Standards; provide get well recommendations and reskilling for those who fall below Verizon Standards. Evaluating training effectiveness; report outcomes and recommendations to leadership (internal and partners). Identifying and initiating continuous improvement actions to enhance outcomes for learners including recommending enhancements/changes to Verizon instructional design, recommending and delivering upskilling/reskilling for trainers/instructors, working with partner L&D teams on location-specific nuances (e.g., learning content, learning design, and learning plan flow). Partnering with Verizon and Partner instructional design and delivery teams on design, delivery and evaluation of trials/pilots to meet unique partner business needs. Representing GL&D in audits associated with external partners and/or general Verizon compliance/operating guidelines; assume responsibility for any L&D related action items. Aligning and supporting all partner SOW requirements which include operating guidelines and compliance. What were looking for... Youll need to have: Bachelor's degree or four or more years of work experience. Three or more years of relevant work experience. Three or more years of experience delivering training to adults. Willingness to travel domestically and internationally up to 50-75 PERCENT of the time. Willingness to work a flexible shift based upon business need, including USA based working hours. Even better if you have one or more of the following: A Masters Degree. Excellent training facilitation skills. Experience leading Training Certifications. Demonstrated ability to be flexible and adaptable to changing needs and circumstances. Wireless Communications experience. BPO Management/Training experience. Curriculum Design experience. Project/program management experience. Supervisory experience. Experience with Google Suite and Smartsheets. If Verizon and this role sound like a fit for you, we encourage you to apply even if you dont meet every even better qualification listed above. Where youll 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. Locations - Hyderabad, India

Location: Remote | CTC: 5,00,000-7,00,000 LPA + ESOPs About Us : We're on a mission to revolutionize sports analytics by integrating cutting-edge AI into real-time and post-match video analysis. Our platform delivers powerful insights to enhance athlete performance, optimize coaching strategies, and engage fans like never before. Join us at the intersection of technology and athletic excellence. Role Overview : As an AI Sports Analyst / Computer Vision Engineer , you'll play a pivotal role in our technology team, developing intelligent systems that analyze sports video footage to uncover performance metrics, tactical patterns, and game-changing insights. Your innovations will help athletes train smarter, enable coaches to make data-driven decisions, and transform how fans connect with the game — making a real impact on the future of sports. Job Responsibilities As our AI Engineer, you will: ✅ Build and optimize computer vision models to detect and track players, ball, referee, and other key entities in sports footage ✅ Develop event recognition models ✅ Implement pose estimation and action recognition algorithms for performance analytics ✅ Work with multi-camera setups to perform 3D player reconstruction and spatial analysis ✅ Deploy models in real-time pipelines and optimize for low-latency inference ✅ Integrate AI pipelines with front-end visualization dashboards ✅ Collaborate with frontend/backend devs, data annotators, and sports analysts ✅ Stay up to date with state-of-the-art research in vision-based sports analytics Preferred Skills : ⏱️ Real-time inference pipeline design ⚽ Prior work on sports 🖥️ Familiarity with multi-view 3D reconstruction 📍 Pose estimation or skeletal keypoint tracking 🧪 Background in Reinforcement Learning for player movement prediction (optional) 💡 Research publications or GitHub repos in sports AI 📦 Experience with MLOps tools: Weights & Biases, MLflow, DVC

We are seeking a skilled Sr Azure Data Engineer with hands-on experience in modern data engineering tools and platforms within the Azure ecosystem . The ideal candidate will have a strong foundation in data integration, transformation, and migration , along with a passion for working on complex data migration projects . Job Title: Sr. Azure Data Engineer Location: Remote work Work Timings: 2:00 PM – 11:00 PM IST No of Openings: 2 Please Note: This is a pure Azure-specific role . If your expertise is primarily in AWS or GCP , we kindly request that you do not apply . Lead the migration of large-scale SQL workloads from on-premise environments to Azure, ensuring high data integrity, minimal downtime, and performance optimization. Design, develop, and manage end-to-end data pipelines using Azure Data Factory or Synapse Data Factory to orchestrate migration and ETL processes. Build and administer scalable, secure Azure Data Lakes to store and manage structured and unstructured data during and post-migration. Utilize Azure Databricks , Synapse Spark Pools , Python , and PySpark for advanced data transformation and processing. Develop and fine-tune SQL/T-SQL scripts for data extraction, cleansing, transformation, and reporting in Azure SQL Database , SQL Managed Instances , and SQL Server . Design and maintain ETL solutions using SQL Server Integration Services (SSIS) , including reengineering SSIS packages for Azure compatibility. Collaborate with cloud architects, DBAs, and application teams to assess existing workloads and define the best migration approach. Continuously monitor and optimize data workflows for performance, reliability, and cost-effectiveness across Azure platforms. Enforce best practices in data governance, security, and compliance throughout the migration lifecycle. Required Skills and Qualifications: 3+ years of hands-on experience in data engineering , with a clear focus on SQL workload migration to Azure . Deep expertise in: Azure Data Factory / Synapse Data Factory, Azure Data Lake, Azure Databricks / Synapse Spark Pools, Python and PySpark, SQL SSIS – design, development, and migration to Azure Proven track record of delivering complex data migration projects (on-prem to Azure, or cloud-to-cloud). Experience re-platforming or re-engineering SSIS packages for Azure Data Factory or Azure-SSIS Integration Runtime. Microsoft Certified: Azure Data Engineer Associate or similar certification preferred. Strong problem-solving skills, attention to detail, and ability to work in fast-paced environments. Excellent communication skills with the ability to collaborate across teams and present migration strategies to stakeholders. If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role. To know more about Techolution, visit our website: www.techolution.com If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role.To know more about Techolution, visit our website: www.techolution.com About Techolution: Techolution is a next gen AI consulting firm on track to become one of the most admired brands in the world for "AI done right". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. At Techolution, we build custom AI solutions that produce revolutionary outcomes for enterprises worldwide. Specializing in "AI Done Right," we leverage our expertise and proprietary IP to transform operations and help achieve business goals efficiently. We are honored to have recently received the prestigious Inc 500 Best In Business award , a testament to our commitment to excellence. We were also awarded - AI Solution Provider of the Year by The AI Summit 2023, Platinum sponsor at Advantage DoD 2024 Symposium and a lot more exciting stuff! While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Our thought leader, Luv Tulsidas, wrote and published a book in collaboration with Forbes, “Failing Fast? Secrets to succeed fast with AI”. Refer here for more details on the content - https://www.luvtulsidas.com/ Let's explore further! Uncover our unique AI accelerators with us: 1. Enterprise LLM Studio : Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes. 2. AppMod. AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands! 3. ComputerVision. AI : Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration! 4. Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services. 5. RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI. Some videos you wanna watch! Computer Vision demo at The AI Summit New York 2023 Life at Techolution GoogleNext 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.

Senior AIML Engineer Relevant Experience: 8+ years Location: Bangalore/Pune Employment Type: Full-time Role Overview: We are looking for a senior Generative AI Engineer is responsible for designing, developing, and implementing advanced AI models and solutions, particularly focusing on generative AI technologies such as large language models (LLMs), NLP, and computer vision. This role involves collaborating with cross-functional teams to translate business needs into innovative AI-driven products and services, driving AI initiatives, and ensuring seamless integration and deployment of AI systems. Key Responsibilities: Collaborate with executives, product managers, and stakeholders to prioritize AI initiatives Lead the design, development, and deployment of generative AI models and systems. Make architectural decisions and ensure scalability, efficiency, and robustness of AI solutions. Manage the full AI project lifecycle from research and prototyping to production deployment. Mentor and guide junior engineers and contribute to team skill development. Drive innovation by incorporating cutting-edge AI research and best practices. Qualifications: Minimum 8 years of experience in data science, machine learning, and generative AI. Strong foundation in Machine Learning & Deep Learning with expertise in neural networks, optimization techniques and model evaluation. Having led projects with LLMs, Transformer architectures (BERT, GPT, LLaMA, Mistral, Claude, Gemini, etc.). Proficiency in Python, LangChain, Hugging Face transformers, MLOps. Experience with Reinforcement Learning and multi-agent systems for decision-making in dynamic environments. Knowledge of multimodal AI (integrating text, image, other data modalities into unified models. Preferred Attributes: Entrepreneurial mindset with a hands-on approach to development. Experience in AI solution architecture and optimization techniques. Ability to work in a fast-paced, business facing environment and lead AI initiatives Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Position Overview : The Boeing AI India team is seeking a highly motivated and talented Early Career AI/ML Research Engineer to join our dynamic team as Associate Software Engineer – AI/ML . The ideal candidate will have strong technical expertise in Machine Learning with a Masters’ degree in a relevant field and possess a passion for advancing the state of the art in AI technologies. This role offers an exciting opportunity to contribute to innovative projects and collaborate with a team of experts in a fast-paced environment. This position will be based out of Bangalore, India and will work with other colleagues located in India, United States and other global locations. This position may require occasional (10%) travel within India and internationally. Position Responsibilities: Development of innovative, nonstandard approaches for knowledge discovery and parametric trending of structured and unstructured data and analysis to provide actionable information that improves aircraft and fleet efficiency and performance and helps increase productivity of Boeing engineers. Leverage AI-driven image processing & deep learning techniques to recognize classify & catalog vast amount of image & video data for multiple airplane, airspace & airport applications. Applying approaches such as novel statistical and probabilistic methods, machine learning multivariate analysis, predictive analytics and deep learning techniques to diverse areas such as airplane health management, manufacturing, automation, supply chain and more in order to add value to Boeing products. Developing data visualization techniques and implementing data dashboards to enable interpretable representation of raw data as well as results of analysis. Programming in languages such Python and R as well as developing applications using tools such as Tableau and Power BI. Working closely & collaboratively with an international team comprising software development and research engineers. Develop and maintain relationships / partnerships with customers, stakeholders, peers, and partners to develop collaborative plans and execute on projects. Help in the adoption of new tools and technology, perform Proof-of-concepts. Documenting results of research and development projects and provide input for periodic updates to in the form of progress reports, project summaries, and other related documents. Tracking and evaluating performance to ensure product and process conformance to project plans and project requirements. Basic Qualifications (Required Skills/Experience): Bachelor’s degree in computer science, Software Engineering, or a related field from a Tier 1/reputed academic institution. Strong technical experience in developing & delivering machine learning solutions. 5+ years of relevant experience with bachelors or Masters with 4+ years' related work experience or PhD in Computer Science, Software Engineering, or a related field with a focus on AI/ML and Computer Vision . Proficiency in programming languages such as Python, C++, or similar, and experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Solid understanding of machine learning algorithms, computer vision techniques, and image processing. Excellent problem-solving skills and the ability to work independently as well as collaboratively in a team environment. Strong communication skills, both written and verbal, with the ability to present complex ideas clearly. Preferred Qualifications (Desired Skills/Experience): Experience with large-scale datasets and cloud computing platforms (e.g., AWS, Google Cloud). Familiarity with software development practices, version control systems (e.g., Git), and agile methodologies. Knowledge of additional areas such as natural language processing or reinforcement learning is a plus. Experience in publishing in top-tier conferences & journals. Typical Education & Experience: Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 5+ years' related work experience or an equivalent combination of education and experience (e.g. Master+4 years' related work experience etc.) Relocation: This position does offer relocation based on candidate eligibility within INDIA. Applications for this position will be accepted until Aug. 01, 2025 Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

JOB DESCRIPTION Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team. As a Applied AI ML Senior Associate at JPMorgan Chase within the Asset and Wealth Management , you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Supports and develops an understanding of key business problems and processes. Advises a model development process, execute tasks including data wrangling/analysis, model training, testing, and selection. Strategically, implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Updates logically and conducts evaluations of generative models (e.g., GPT-4), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications. Implements monitoring mechanisms to track model performance and ensure model reliability. Frequently communicates AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences. From data analysis and modeling exercises, generate structured and meaningful insights and present them in an appropriate format according to the audience. Collaboratively, work with other data scientists and machine learning engineers to deploy machine learning solutions. As required by the business stakeholder, model risk function, and other groups, carry out ad-hoc and periodic analysis. Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification in applied AI/ML concepts and 3+ years applied experience Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API. Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API. Experience in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs. Experience with a broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, and XGBoost. Experience with graph analytics and neural networks (PyTorch). Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred qualifications, capabilities, and skills Expertise in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). Familiarity with the financial services industry. 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 Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Candidates must have a Ph.D. in Computer Science or an allied area from a reputed institution, and a good research record and background. While candidature in all areas of Computer Science would be considered, the following sub-areas are currently of special interest: Computer Systems and Networking : Operating Systems, Computer Networks, Distributed Systems, Cloud Computing, High Performance Computing, Cybersecurity Software Engineering : Databases, Data Mining, Data Warehousing, System Design and Analysis, Code Analysis, Software Testing, Application Development Human Computer Interaction : UI/UX, Cognitive Computing, Interaction Design, Intelligent and Adaptive Interfaces, Multimodal Interfaces, Computer Graphics, Gaming Artificial Intelligence and Machine Learning : Deep Learning, Adversarial Machine Learning, Quantum Machine Learning, Multimodal Learning, Responsible AI, Reinforcement Learning, Federated Learning Natural Language Processing : Knowledge Representation, Large Language Models, Information Retrieval Minimum Eligibility Criteria (all disciplines except design area candidates) (i) Ph. D. with a first class or equivalent in the preceding degree and an excellent academic record throughout; and (ii) A strong research record with publications in reputed journals and conferences. Associate Professor A minimum of six years post-Ph.D. teaching/research/professional experience of which at least three years should be at the level of Assistant Professor at higher educational institutions. A strong research record as evidenced by publications, external research grants /projects, and experience in doctoral supervision is expected. Application Submission Process Prospective candidates should send an email to dean_faculty@daiict.ac.in with Subject as “Faculty position in Disciplines/Areas (e.g. Computer Science, Humanities & Social Sciences)". Please attach the following to your email: (1) CV with details about your education starting 12th standard board exams (mention marks/CGPA, year of passing, specialization if any), work experience, and publications. Please provide names of three references who may be contacted for a letter of reference in support of your candidature. (2) A research statement giving research background, research outcomes, and future research plans. (3) A teaching statement giving teaching methodology, teaching experience, foundation/core courses you would like to teach, and elective courses you would like to teach. Faculty will be responsible for conducting independent research within their respective fields and teaching both undergraduate and postgraduate courses. Candidates with interdisciplinary expertise are strongly encouraged to apply. They will play an important role in contributing to the Institute’s mission through their teaching, research, and participation in various institutional activities. We encourage candidates to visit the Institute website for more information about the courses and research groups, in particular, the Faculty page, to get a sense of the faculty profile .

Candidates must have a Ph.D. in Computer Science or an allied area from a reputed institution, and a good research record and background. While candidature in all areas of Computer Science would be considered, the following sub-areas are currently of special interest: Computer Systems and Networking : Operating Systems, Computer Networks, Distributed Systems, Cloud Computing, High Performance Computing, Cybersecurity Software Engineering : Databases, Data Mining, Data Warehousing, System Design and Analysis, Code Analysis, Software Testing, Application Development Human Computer Interaction : UI/UX, Cognitive Computing, Interaction Design, Intelligent and Adaptive Interfaces, Multimodal Interfaces, Computer Graphics, Gaming Artificial Intelligence and Machine Learning : Deep Learning, Adversarial Machine Learning, Quantum Machine Learning, Multimodal Learning, Responsible AI, Reinforcement Learning, Federated Learning Natural Language Processing : Knowledge Representation, Large Language Models, Information Retrieval Minimum Eligibility Criteria (all disciplines except design area candidates) (i) Ph. D. with a first class or equivalent in the preceding degree and an excellent academic record throughout; and (ii) A strong research record with publications in reputed journals and conferences. Assistant Professor Ph.D. with strong research capabilities and a strong passion for teaching at undergraduate and postgraduate levels. Postdoctoral experience is preferred. Application Submission Process Prospective candidates should send an email to dean_faculty@daiict.ac.in with Subject as “Faculty position in Disciplines/Areas (e.g. Computer Science, Humanities & Social Sciences)". Please attach the following to your email: (1) CV with details about your education starting 12th standard board exams (mention marks/CGPA, year of passing, specialization if any), work experience, and publications. Please provide names of three references who may be contacted for a letter of reference in support of your candidature. (2) A research statement giving research background, research outcomes, and future research plans. (3) A teaching statement giving teaching methodology, teaching experience, foundation/core courses you would like to teach, and elective courses you would like to teach. Faculty will be responsible for conducting independent research within their respective fields and teaching both undergraduate and postgraduate courses. Candidates with interdisciplinary expertise are strongly encouraged to apply. They will play an important role in contributing to the Institute’s mission through their teaching, research, and participation in various institutional activities. We encourage candidates to visit the Institute website for more information about the courses and research groups, in particular, the Faculty page, to get a sense of the faculty profile .

Data Scientist/ML Scientist About Auxia Auxia is an AI-powered Growth and Personalization Platform that is reinventing how companies activate, engage, retain and monetize their customers. Auxia’s software delivers real-time personalization using ML that treats each customer as a unique individual, effectively creating a “cohort-of-one”. With Auxia, hundreds of personalized campaigns can be generated and deployed in minutes, doing away with static and tedious, rules-based segmentation and targeting. Auxia is easy to use, integrates with most major data and customer engagement tools, and frees up valuable internal resources. Our team started Auxia based on our collective expertise in advancing product growth at companies like Google, Meta, and Lyft. We saw a paradigm shift unfolding where the most successful teams drove significant revenue improvements and cost reductions by shifting from static, rules-based segmentation and targeting to real-time decision-making driven by machine learning. About the role As the core member of the Auxia Data Science team, you will play a significant role in driving the data science vision/roadmap and also in building and improving our Machine Learning models and Agentic AI products. You will perform research at the intersection of recommender systems, causal inference, transformers, foundational models (LLMs), content understanding and reinforcement learning and develop production grade models serving decisions to 10s of millions of users per day. You will work at the intersection of artificial intelligence, process automation, and workflow optimization to create intelligent agents that can understand objectives, make decisions, and adapt to changing requirements in real-time. You will also be responsible for performing in-depth analysis of customer data and derive insights to better understand customer problems and collaborate cross functionally across engineering, product and business teams. Responsibilities Design, implement, and research machine learning algorithms to solve growth and personalization problems and continuously fine-tune and improve them Design and develop AI-driven autonomous agents to execute complex workflows across various applications and objectives Implement and improve offline model evaluation methods Analyze large business datasets to extract knowledge and communicate insights to critical business questions by leveraging traditional statistical or machine learning methodologies Present and communicate data-based insights and recommendations to product, growth and data science teams at Auxia’s customers Stay updated on ML research through literature reviews, conferences, and networking Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 7+ years experience in training and improving and deploying ML models, developing production software systems such as data pipelines or dashboards preferably at fast-growing technology companies Proficiency in ML frameworks (TensorFlow/PyTorch/Jax) and the Python data science ecosystem (Numpy, SciPy, Pandas, etc.) Experience with LLM, RAG, information retrieval etc in building production grade solutions Experience in recommender systems, feed ranking and optimization Experience in causal inference techniques and experimental design Experience working with Cloud services consuming and managing large scale data sets Thrives in ambiguity, ownership mindset, and willing to ‘get your hands dirty’ outside of the scope of your role (e.g. Product vision, strategic roadmap, engineering etc)

Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Position Overview : The Boeing AI India team is seeking a highly motivated and talented Early Career AI/ML Research Engineer to join our dynamic team as Associate Software Engineer – AI/ML . The ideal candidate will have strong technical expertise in Machine Learning with a Masters’ degree in a relevant field and possess a passion for advancing the state of the art in AI technologies. This role offers an exciting opportunity to contribute to innovative projects and collaborate with a team of experts in a fast-paced environment. This position will be based out of Bangalore, India and will work with other colleagues located in India, United States and other global locations. This position may require occasional (10%) travel within India and internationally. Position Responsibilities: Development of innovative, nonstandard approaches for knowledge discovery and parametric trending of structured and unstructured data and analysis to provide actionable information that improves aircraft and fleet efficiency and performance and helps increase productivity of Boeing engineers. Leverage AI-driven image processing & deep learning techniques to recognize classify & catalog vast amount of image & video data for multiple airplane, airspace & airport applications. Applying approaches such as novel statistical and probabilistic methods, machine learning multivariate analysis, predictive analytics and deep learning techniques to diverse areas such as airplane health management, manufacturing, automation, supply chain and more in order to add value to Boeing products. Developing data visualization techniques and implementing data dashboards to enable interpretable representation of raw data as well as results of analysis. Programming in languages such Python and R as well as developing applications using tools such as Tableau and Power BI. Working closely & collaboratively with an international team comprising software development and research engineers. Develop and maintain relationships / partnerships with customers, stakeholders, peers, and partners to develop collaborative plans and execute on projects. Help in the adoption of new tools and technology, perform Proof-of-concepts. Documenting results of research and development projects and provide input for periodic updates to in the form of progress reports, project summaries, and other related documents. Tracking and evaluating performance to ensure product and process conformance to project plans and project requirements. Basic Qualifications (Required Skills/Experience): Bachelor’s degree in computer science, Software Engineering, or a related field from a Tier 1/reputed academic institution. Strong technical experience in developing & delivering machine learning solutions. 5+ years of relevant experience with bachelors or Masters with 4+ years' related work experience or PhD in Computer Science, Software Engineering, or a related field with a focus on AI/ML and Computer Vision. Proficiency in programming languages such as Python, C++, or similar, and experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Solid understanding of machine learning algorithms, computer vision techniques, and image processing. Excellent problem-solving skills and the ability to work independently as well as collaboratively in a team environment. Strong communication skills, both written and verbal, with the ability to present complex ideas clearly. Preferred Qualifications (Desired Skills/Experience): Experience with large-scale datasets and cloud computing platforms (e.g., AWS, Google Cloud). Familiarity with software development practices, version control systems (e.g., Git), and agile methodologies. Knowledge of additional areas such as natural language processing or reinforcement learning is a plus. Experience in publishing in top-tier conferences & journals. Typical Education & Experience: Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 5+ years' related work experience or an equivalent combination of education and experience (e.g. Master+4 years' related work experience etc.) Relocation: This position does offer relocation based on candidate eligibility within INDIA. Applications for this position will be accepted until Aug. 01, 2025 Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

Preferred Skills: Experience in MLOps practices and tools. Proven track record of leading technical teams and projects. Strong problem-solving skills and attention to detail. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in technology or solution architecture, with a focus on data engineering, AI-ML and GenAI based solutions. Strong leadership and communication skills. Key Responsibilities: Data collection, profiling, EDA & data preparation AI Model development, tuning & validation Visualization tools (e.g., PowerBI, tableau) Present findings to business users & project management teams Propose ML based solution approaches and estimates for new use cases Experience in ML algorithms, NLP, GenAI based solutions Supervised, Unsupervised, Reinforcement learning Collaborate with data scientists and engineers to support ML model training, evaluation, and deployment. Strong knowledge of Knowledge of AI services from cloud platforms Azure/AWS/GCP Apply advanced MLOps practices to streamline model deployment, monitoring, and lifecycle management. Required Skills: Proficiency in Python for data processing, automation tasks, and model development. Strong understanding of ML model training, evaluation, and deployment. Proficiency in GenAI based solution development. Strong knowledge of Knowledge of AI services from cloud platforms Azure/AWS/GCP. Experience in python-based web application for AI-ML use cases Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Understanding of the financial processes for various types of projects and the various pricing models available Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Client Interfacing skills Project and Team management

Overview: You will play a crucial role in ensuring the well-being and welfare of animals under our care. Your primary responsibility will be to provide socialization, enrichment, and companionship to our resident animals, helping them to feel loved and safe. This role is essential for maintaining the mental and emotional well-being of the animals and ensuring they receive the attention and affection they deserve. Your duties will involve feeding, grooming, exercising, and monitoring the health and behavior of the animals, as well as maintaining clean and safe living environments for them. Responsibilities: Animal Care Provide daily care and attention to animals, including feeding, watering, and administering medications as directed. Maintain clean living spaces for animals by regularly cleaning cages, litter boxes, and play areas. Monitor the health and behavior of animals, and promptly report any concerns to the appropriate supervisor. Follow established protocols for handling and restraining animals safely and humanely. Engage in activities such as playing, grooming, and providing basic training to encourage positive behaviors. The ability to perform animal CPR and first aid. Enrichment and Exercise Engage animals in appropriate enrichment activities to promote mental and physical stimulation. Take animals for walks, playtime, and socialization sessions to ensure they receive adequate exercise and social interaction. Provide basic training and behavioral support to animals as needed. Develop and implement enrichment programs tailored to the specific needs and preferences of the animals. This may include puzzle toys, sensory experiences, and outdoor play sessions to stimulate their minds and bodies. Visitor Service Interact with visitors in a friendly and informative manner, providing them with information about available pets and passive adoption procedures. Assist with the passive adoption process by conducting meet-and-greet sessions between potential adopters and animals. Facility Maintenance Assist with general maintenance tasks such as cleaning, organizing supplies, and performing routine repairs as needed. Ensure that all equipment and facilities are kept in good working order and report any maintenance issues to the appropriate personnel. Compliance and Documentation Maintain accurate records of animal care activities, including feeding schedules, medical treatments, and behavioral observations. Ensure compliance with relevant regulations and standards for animal welfare, health, and safety. Capture photos and videos of the animals during socialization activities to share on the organization’s social media platforms. Help showcase the personalities of the animals and promote passive adoption. Performing other related duties as required to support the operation of the animal shelter and the welfare of its residents. Knowledge of: Familiarity with typical office protocols, methods, and equipment. Knowledge of safety protocols and adherence to safe working procedures. Skill in maintaining precise record-keeping. Qualifications: Any education background. Required Background, Experience and Skills: Total 2+ years of experience working with animals such as dogs or cats in a shelter, veterinary clinic, pet boarding facility, or similar setting preferred. Strong knowledge and experience in animal behavior management and training techniques, including positive reinforcement methods and behavior modification strategies. Experience in maintaining cleanliness and hygiene in pet environments, including cleaning kennels, litter boxes, cages, and common areas. Familiarity with basic grooming techniques for different types of pets, such as brushing, bathing, nail trimming, and ear cleaning. Experience in coordinating and supervising pet socialization activities, such as group play sessions and interactions between animals. Ability to recognize signs of illness or distress in pets and take appropriate action, including seeking veterinary care when necessary. Knowledge of basic animal care principles and practices, including nutrition, hygiene, and behavior. Physical stamina and agility required to handle and lift animals of various sizes, as well as perform cleaning and maintenance tasks. The role of Pet Caretaker is an integral part of our mission to provide compassionate care and support to animals in need. Working under the guidance of the Operations Manager, this position offers a unique opportunity to combine managerial prowess, organizational abilities, and a deep-seated passion for animal welfare. By dedicating themselves to the well-being of our furry residents and actively engaging with the community as advocates for animal rights, our Pet Caretakers contribute to a brighter future for both animals and society. Join us in making a meaningful difference in the lives of those who need it most. Contact: 9164131092 for more information. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹25,000.00 per month Benefits: Leave encashment Paid sick time Paid time off Ability to commute/relocate: JP Nagar VIII phase, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required) Language: English (Preferred) Hindi (Preferred) Shift availability: Day Shift (Preferred) Night Shift (Preferred) Work Location: In person Expected Start Date: 01/08/2025