Engineer AI ML Jobs in Pune

AI/ML Engineer Experience: 2 3 Years Education: BBA, BSc, BTech/BE, MSc, MTech, MCA Location: Pune About the Role We are seeking a passionate AI/ML Engineer to design, build, and scale production-grade AI systems that power our platform. You will work on real-world AI problems such as document intelligence, real-time voice AI, and intelligent job-to-candidate matching systems. This role requires strong hands-on experience in LLM engineering, backend development, and AI system productionization. Required Skills Python (FastAPI) LangChain, LlamaIndex OpenAI API, Anthropic Good to Have Postgres (Pgvector), Supabase Redis Docker LangSmith GitHub Actions Roles & Responsibilities Build Agentic Workflows: Design and deploy AI agents capable of reasoning and decision-making using LangChain or LlamaIndex. Develop Voice AI Systems: Build low-latency, real-time conversational voice bots for candidate outreach using WebSockets, STT, and TTS, ensuring effective context retention and state management. Engineer Data Pipelines: Create robust parsing systems that enforce strict JSON outputs from LLMs for resume data extraction, along with data cleaning pipelines for unstructured formats (PDF/DOCX). Implement Advanced RAG Systems: Develop retrieval pipelines using Pgvector or Pinecone with hybrid search (semantic + keyword) for accurate job-to-candidate matching. Productionize & Monitor AI Systems: Set up tracing and observability using LangSmith to debug chains, monitor token usage, and optimize performance and cost. Backend Integration: Package AI logic into scalable, asynchronous microservices using FastAPI and Docker. Technical Requirements 1. Generative AI & LLM Engineering Experience enforcing structured JSON outputs using function calling. Strong prompt engineering skills (Chain-of-Thought, Few-Shot). Hands-on experience orchestrating complex AI pipelines using LangChain or LlamaIndex. 2. Voice AI & Real-Time Processing Experience with STT/TTS APIs (e.g., Whisper, Deepgram). Strong understanding of WebSockets and async programming for real-time audio streaming. Ability to design conversation managers with memory and context handling. 3. Search & Data (RAG) Experience with vector databases such as Pgvector, Pinecone, or Qdrant. Expertise in chunking, cleaning, and ingesting unstructured data. 4. MLOps & Production Engineering Observability and tracing using LangSmith. Writing automated AI evaluation scripts to test prompts before deployment. Experience optimizing cost by balancing model performance and token usage. 5. Core Backend Engineering Strong Python skills with FastAPI. Proficiency in async/await patterns for concurrent processing. Experience with Docker and relational databases (SQL). 6. Machine Learning & Algorithms Understanding of recommendation systems (Collaborative Filtering, Two-Tower models). Experience with ranking and re-ranking techniques (LTR, Cross-Encoders). Familiarity with traditional ML models using Scikit-learn or XGBoost. The Applied Mindset We Value Model Strategy: Ability to choose the right model based on cost, latency, and intelligence requirements. Security First: Awareness of prompt injection and jailbreaking risks and strategies to mitigate them. Hallucination Control: Strong grounding techniques to ensure factual and reliable AI outputs. Tech Stack Overview Languages: Python (FastAPI) AI & Orchestration: LangChain, LlamaIndex, OpenAI API, Anthropic Voice AI: Deepgram, Twilio Databases: Postgres (Pgvector), Supabase, Redis DevOps & MLOps: Docker, LangSmith, GitHub Actions Qualification : BBA, BSc, BTech/BE, MSc, MTech, MCA

Job Title: Java Architect Integration Engineering Location: Pune Team: Integration Engineering About Anchanto Anchanto is a global SaaS technology company that powers eCommerce automation and logistics solutions for enterprises and 3PLs. Our Integration Engineering team develops scalable, high-performance integrations connecting our products with marketplaces, ERPs, WMS, OMS, and other enterprise systems across the globe. We are looking for a seasoned Java Architect to lead the design, development, and delivery of our integration framework, guide engineering best practices, and define the technical vision for integrations that serve businesses worldwide. As a key driver of innovation, you will also champion the adoption of AI tools to enhance productivity, code quality, and development processes. The Role As a Java Architect Integration Engineering, you will: Define integration architecture standards, design patterns, and development best practices to ensure scalable and robust solutions. Lead the end-to-end design and development of integrations with a variety of internal and external systems, utilizing Spring Boot and modern Java frameworks. Collaborate closely with customers to understand their integration requirements, business processes, and objectives. Work with the solution team to document and finalize integration designs, architecture, and data mappings. Champion AI-driven development practices by integrating tools like Cursor AI and other AI-assisted coding solutions into the team s workflow. Partner with Product Management, Pre-Sales, and Implementation teams to translate business needs into actionable technical designs. Guide and mentor engineers, fostering a culture of technical excellence, innovation, and AI adoption within the integration team. Play a hands-on role in building Proof-of-Concepts (POCs), solving complex integration challenges, and driving mission-critical deliveries. Collaborate with leadership to define the roadmap for integration products and platform capabilities. Key Responsibilities Architect and oversee the implementation of integration solutions, leveraging Spring Boot, REST APIs, messaging systems, and event-driven architectures. Define and enforce integration design patterns (e.g., EAI, ESB, SOA, pub/sub, ETL) to ensure reusability, scalability, and maintainability. Lead technical discovery sessions with customers to understand integration requirements and create clear, actionable solution blueprints. Collaborate with internal solution architects, product managers, and customer success teams to ensure integration feasibility and alignment with business objectives. Introduce and evaluate AI-powered development tools, integrating solutions like Cursor AI, GitHub Copilot, and others into the engineering process to improve efficiency, code quality, and documentation. Promote a culture of AI-first problem solving in architecture design, code reviews, and automation within the team. Establish frameworks and automation to accelerate the onboarding of new integrations. Evaluate and recommend technologies, tools, and cloud services (primarily AWS) to optimize integration performance and scalability. Review solution designs and code to ensure adherence to architectural principles and coding standards. Support pre-sales activities with architecture diagrams, integration approaches, and technical feasibility assessments. Lead technical discussions with external partners, vendors, and enterprise customers to ensure alignment on integration strategies and solutions. Required Skills & Experience 15+ years of software development experience, with at least 3+ years as an Architect. Strong hands-on expertise in Java (Java 8+), Spring Boot, and microservices architecture. Solid understanding of integration patterns, enterprise architecture, and middleware solutions. Experience with REST APIs, messaging systems (Kafka, RabbitMQ), and data transformation (e.g., JSON, XML, CSV). Proficiency with AWS cloud services relevant to integration, such as API Gateway, Lambda, SQS/SNS, ECS, RDS, etc. Familiarity with CI/CD pipelines, Git workflows, branching/merging strategies, and code quality tools. Linux proficiency and experience with shell scripting. Experience building connectors/adapters for ERP, WMS, OMS, CRM, or eCommerce platforms is a plus. Exposure to integration tools such as TIBCO, Informatica, SnapLogic, WebMethods, or MuleSoft is advantageous. Strong problem-solving skills, with the ability to think out-of-the-box and adapt to evolving priorities. Excellent communication and leadership skills, with the ability to influence teams across functions. Bonus / Good to Have Experience in AI-assisted development, especially using tools like Cursor AI, GitHub Copilot, Tabnine, or similar. Familiarity with prompt engineering and integrating AI APIs (e.g., OpenAI, Anthropic) into developer tooling or backend services. Understanding of ML Ops principles and how AI models can be integrated into enterprise applications. A proven track record of evangelizing AI adoption in engineering teams to enhance productivity and foster innovation. Work on global integration projects for a leading SaaS platform serving top-tier retailers, brands, and logistics companies. Lead impactful projects utilizing cutting-edge Java, Spring Boot, AWS, and AI-driven development tools. Collaborate with a globally distributed product and engineering team in an innovation-driven environment. Contribute to the future of Anchanto s integration platform, shaping scalable and robust solutions for enterprises worldwide.

AI Platform Engineer II Location: Pune Overview At Rapid7, we are looking for an AI Platform Engineer to help us build production-ready, agent-based AI experiences on Google Cloud (Vertex AI) and OpenAI platforms. You will be directly responsible for developing and shipping features such as AI agents, tools, and lightweight UIs that plug into our internal systems and data, driving productivity improvements across the company. As part of the AI Platform team, you will be involved in designing, implementing, and refining AI models and tools that integrate seamlessly with enterprise systems, while ensuring reliability, security, and scalability. Key Responsibilities Agentic Development with Vertex AI: Design and implement multi-step agents using Vertex AI (Agent Builder / Gemini), incorporating agent behaviors such as tool use, memory, and evaluation loops to create intelligent, autonomous workflows. MCP & Tool Integrations: Develop Model Context Protocol (MCP) connectors and API integrations that enable agents to interact with enterprise systems while maintaining least-privilege access and security standards. RAG & Data Grounding: Implement retrieval-augmented generation (RAG), utilizing vector stores, embeddings, and schema-aware prompts, while ensuring agents produce accurate and auditable outputs through robust guardrails. Vertex-based UI for Agents: Prototype intuitive chat interfaces and task UIs, including features like session history, tool invocation panels, and feedback widgets. Embed AI agents into existing internal applications to streamline workflows and improve user experience. Integration & Data Access: Connect AI agents to internal APIs and enterprise data sources (e.g., BigQuery, REST APIs, webhooks) using Google Cloud tools, ensuring smooth data access and system integration. Quality & Telemetry: Define key performance indicators (KPIs) such as quality, latency, and cost-efficiency for AI-powered features. Implement logging, monitoring, and observability to track performance and run structured experiments to improve agent behavior and outcomes. Requirements Experience 2 3 years of hands-on experience in software or AI application engineering, with a focus on creating and deploying custom AI agents, particularly using Gemini / Vertex AI Agent Builder. Technical Skills Proficiency with Google Cloud (Vertex AI, BigQuery, Cloud Run/Functions) and at least one large language model (LLM) API (e.g., OpenAI or Gemini). Experience building small end-to-end features, including backend APIs, agent logic, and basic UI for demos and production environments. Familiarity with agent frameworks such as LangGraph or LangChain, and common agent patterns like tool use, planning, and memory management. Knowledge of retrieval-augmented generation (RAG), including chunking, embeddings, and retrieval, along with prompt testing and evaluation. Collaboration Skills Ability to work cross-functionally with security, data, and application teams to ensure safe and efficient deployment of AI-driven solutions. Nice to Have Experience with GCP IAM, secrets management, and enterprise compliance considerations. Familiarity with Vertex AI Search, vector databases, or event/webhook architectures. Interest in emerging AI standards, MCP, responsible AI practices, and optimization for cost/performance. About Rapid7 At Rapid7, we are on a mission to create a secure digital world for our customers, industry, and communities. We empower our employees to challenge the status quo and drive transformative change. With over 11,000 customers relying on us for cybersecurity protection, we continue to innovate and solve some of the most challenging problems in the industry. Security and Compliance Rapid7 is committed to safeguarding our customers' security. All employees uphold the highest standards of security and privacy, ensuring sensitive information is protected and compliance with relevant regulations is maintained.

Principal AI Engineer - MLOps Location: Pune Overview Rapid7 is seeking a **Principal AI Engineer - MLOps** to drive the development and deployment of **scalable, production-grade AI/ML systems** in the field of cybersecurity. This role is within the **AI Center of Excellence team** and involves managing the **end-to-end design of ML production systems** from scoping and data requirements to continuous deployment and monitoring. You will play a pivotal role in mentoring junior engineers and shaping the **MLOps culture**. Key Technologies Used **Cloud/Infrastructure:** AWS (research environments, data hosting), **EKS** (Kubernetes), **Terraform** (Infrastructure as Code). **Modeling/Data:** **Python** (numpy, pandas, scikit-learn), Jupyter notebooks, Anomaly detection methods. Key Responsibilities End-to-End ML Production System Design: **Architect and manage the design and deployment** of ML systems from inception to production. Define project scopes, data requirements, modeling strategies, and **deployment pipelines** for AI/ML systems. Ensure **seamless integration** of models and AI components into the production environment, focusing on **scalability, reliability, and security**. Data Pipeline Management: **Develop and maintain data pipelines**, ensuring data consistency, integrity, and accessibility throughout the ML lifecycle. Oversee the data lifecycle, including **data preprocessing, feature engineering**, and storage. ML Guardrails & Monitoring: Implement **robust ML guardrails** to ensure model performance, fairness, and compliance. Manage the **monitoring and observability** of deployed models, ensuring timely and accurate tracking of model performance. Deployment & Service Monitoring: Develop and deploy accessible endpoints, including **web applications and REST APIs**, adhering to security best practices. Continuously monitor models and data to detect issues such as **drift, anomalies, or performance degradation**. Collaboration & Mentorship: Collaborate closely with engineering, data science, and product teams to ensure alignment on goals. **Mentor and guide junior engineers**, share knowledge, and promote best practices in MLOps. Agile Development & Iteration: Embrace **agile practices**, focusing on continuous iteration and solving complex challenges. Skills & Experience Core Technical Expertise **Extensive Software Engineering Experience:** 15+ years as a software engineer, with at least **3-5 years of expertise in MLOps** in AWS environments. **MLOps & DevOps:** Proven experience deploying **scalable AI/ML systems**, managing **CI/CD pipelines**, and utilizing cloud AI resources. Expertise with **Docker, Kubernetes, and cloud-based AI infrastructure management**. **Programming:** Strong proficiency in **Python** (Flask or FastAPI) and experience building APIs. Data & Modeling Skills Experience in designing **data pipelines** and performing **feature engineering**. Familiarity with **model risk management** strategies, including **concept drift monitoring** and hyperparameter tuning. Leadership & Communication Demonstrated ability to **collaborate across engineering, data science, and product teams**. Proven track record of **mentoring and guiding junior engineers**. Strong communication skills for conveying complex technical concepts and creating detailed system architecture documentation. Nice to Have Experience deploying resources that enable data scientists to fine-tune and experiment with **LLMs (Large Language Models)**. Understanding of AI/ML operational frameworks and associated challenges. Be a part of **cutting-edge AI/ML efforts** to strengthen cybersecurity. Mentor and grow the next generation of engineers in an inclusive, fast-paced environment. Tackle some of the most challenging security problems with a passionate and creative team.

Position: Associate Data Science Engineer Location: Pune, Maharashtra Work Type: Full Time Minimum Experience: 1 2 Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Image Processing About the Role We are looking for a self-driven Associate Data Science Engineer to join our fast-growing Data & AI Practice. You will work on cutting-edge AI technologies and cloud-native solutions, helping build intelligent, high-impact products for our global clients. If you're passionate about AI/ML, Computer Vision, NLP, Generative AI, and developing scalable AI applications, this role is for you. What You Will Work On Contribute to the design, development, and deployment of AI-powered features and solutions. Collaborate with Product Management to translate business problems into AI/ML use cases. Build applications leveraging Computer Vision, NLP, Deep Learning, and Gen AI technologies. Develop and present functional prototypes, demos, and POCs. Stay current with the latest tools, frameworks, and research in ML, DL, and Gen AI. Participate in end-to-end project lifecycles from analysis to monitoring. What You Bring (Must-Have Skills) 1+ years of experience delivering AI/ML solutions through complete project lifecycle. Strong grasp of Linear Algebra, Statistics, and Probability. Proficiency in Python and data science libraries such as Pandas, NumPy, SciPy, scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace, spaCy, CoreNLP. Experience with Deep Learning models for Computer Vision and Object Detection. Solid knowledge of Generative AI, LLMs, and tools such as LangChain, LlamaIndex, Prompt Engineering. Strong analytical thinking, problem-solving ability, and effective communication. Great If You Also Know Experience with RAG frameworks, Function Calling, Agentic Frameworks, or Vector Search. Familiarity with cloud services: AWS (preferred), Azure, or Google Cloud Platform. Building APIs using FastAPI, async programming, and REST principles. Understanding of CI/CD, Docker/Kubernetes, and cloud-native deployment pipelines. Exposure to MLOps / LLMOps: versioning, tuning, deployment, and monitoring of models. Comfort with data visualization tools and practices. Agile development experience (Scrum, Kanban, etc.). Startup culture, small teams, and a high degree of autonomy. Work on next-gen technologies in AI, ML, GenAI, and cloud computing. Remote working options based on experience and maturity. Competitive salary and family-friendly benefits. Clear, performance-based career growth path. About Cognologix Cognologix helps businesses reimagine and innovate through modern data and cloud-native solutions. With a strong focus on data science, automation, and intelligent applications, we partner with organizations to deliver cutting-edge products in the most efficient and scalable ways. We thrive in a fast-paced, tech-first environment where innovation meets execution.

Position: Data Science Engineer Location: Pune Work Type: Full Time Minimum Experience: 3+ Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Computer Vision, Object Detection About the Role We re looking for an experienced Data Science Engineer to join our Data & AI Practice. You will work on building and deploying intelligent, enterprise-grade AI solutions using the latest in Machine Learning, Deep Learning, Computer Vision, and Generative AI technologies. This is a role for engineers who thrive on ownership, innovation, and collaboration with the opportunity to mentor, lead, and make a real business impact through data. What You Will Work On Lead the design and development of AI/ML models and applications. Work with Product Management to translate business use cases into technical requirements and AI solutions. Develop and deploy Computer Vision, NLP, Deep Learning, and multi-modal GenAI applications. Perform dataset selection, feature engineering, and optimize data representation techniques. Mentor junior team members and contribute to team growth. Continuously explore and adopt the latest advancements in AI/ML, CV, NLP, and LLMs. Required Skills & Experience 3+ years of full lifecycle experience in building and deploying AI/ML applications. Proficiency in Python and core libraries: Pandas, NumPy, SciPy, Scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace Transformers, spaCy, CoreNLP. Deep knowledge in Linear Algebra, Probability, and Statistics. Strong foundation in Computer Vision: image classification, object detection (YOLO, Mask/Faster R-CNN), segmentation (semantic, instance, panoptic). Experience in Generative AI/LLMs, including Prompt Engineering, LangChain, LlamaIndex, Vector Search, Function Calling, Agentic Frameworks, and Document Processing. Exposure to cloud platforms: AWS (preferred), Azure, or GCP. Experience building RESTful APIs using frameworks like FastAPI, with async programming. Familiarity with CI/CD, Docker/Kubernetes, and scalable cloud-native deployments. Excellent problem-solving, analytical, and communication skills. Bonus Skills (Nice to Have) Experience in Agile/Scrum methodologies. Knowledge of MLOps/LLMOps: model versioning, tuning, deployment, monitoring. Experience with data visualization tools for analytics storytelling. Startup culture with autonomy, agility, and small team dynamics. Work on emerging AI/ML technologies across diverse real-world applications. Remote work options for high-performing team members. Competitive compensation with family-friendly benefits. Structured career progression based on performance and innovation. About Cognologix At Cognologix, we help businesses redefine their digital future through innovation and data-centric solutions. Our focus on cloud-native architectures, AI-driven intelligence, and automation-first thinking empowers enterprises to achieve meaningful transformation.

Job Title: Software Engineer AI/ML Location: Pune Qualification: B.E./B.Tech/M.E./M.Tech Experience: 2 4 Years Reporting To: Lead Software Engineer / Project Manager Role Overview: We are seeking a passionate and skilled AI/ML Software Engineer to join our growing team. The ideal candidate will be responsible for designing and developing intelligent systems using cutting-edge Machine Learning and Artificial Intelligence techniques. You will play a key role in building data-driven solutions that automate decision-making and improve business outcomes. Key Responsibilities: Study, analyze, and transform data science prototypes into functional ML solutions. Design and build AI and Machine Learning systems to automate predictive models. Research, implement, and optimize ML algorithms and tools based on project needs. Select appropriate datasets and design suitable data representation techniques. Develop, test, and fine-tune ML models through rigorous experimentation and statistical analysis. Train, retrain, and update ML systems as required. Extend or customize existing ML libraries and frameworks. Stay updated with the latest trends and advancements in AI/ML technologies. Required Skills & Abilities: 2 4 years of hands-on experience in AI/ML development. Solid understanding of Data Structures, Algorithms, and strong mathematical aptitude. Strong programming skills in Python, with working knowledge of scikit-learn, pandas, and other core ML libraries. In-depth knowledge of AI/ML algorithms, model evaluation techniques, and performance metrics. Experience with Deep Learning frameworks like TensorFlow, Keras, or PyTorch is a plus. Exposure to MLOps tools for model deployment and monitoring is preferable. Good communication skills and ability to manage interactions with clients and cross-functional teams. Strong problem-solving attitude and a willingness to learn continuously. Qualification : B.E./B.Tech/M.E./M.Tech/MCA

Position: Senior Data Scientist Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on revolutionizing the construction industry through advanced AI and ML solutions. Our Data Science and Analytics team comprises Data Scientists, AI Engineers, Data Analysts, and Data Engineers working collaboratively to drive innovation across all construction project phases from pre-construction to post-construction. Our mission is to harness the power of data and AI to improve predictability, automate processes, and enhance efficiency in construction domains such as scheduling, planning, supply chain, safety, quality control, site management, financials, and virtual design construction. Role Overview We are seeking a highly skilled Senior Data Scientist to lead the development of innovative AI and machine learning solutions focused on construction data. You will work on cutting-edge projects involving Computer Vision, Predictive Analytics, Generative AI, and Large Language Models (LLMs) using technologies such as MS Azure AI Services, OpenAI, and various ML frameworks. Key Responsibilities Collaborate strategically with cross-functional teams to identify and solve business problems through scalable AI/ML solutions. Analyze construction project data to develop predictive models using traditional methods and generative AI. Apply machine learning algorithms to enhance project execution, safety, risk assessment, and other core construction processes. Lead end-to-end development of scalable predictive and ML models, including hypothesis generation, development, deployment, and monitoring. Build, validate, and optimize machine learning and statistical models; review and quality control models developed by junior team members. Partner with engineering and business teams to deeply understand data, processes, and business requirements, and implement appropriate solutions. Stay updated on advances in data science and machine learning to continuously enhance vConstruct s capabilities. Use statistical techniques to detect anomalies and optimize workflows to ensure timely, cost-effective project delivery. Collaborate with product managers and business leaders to drive data-driven decision-making and communicate insights effectively. Visualize insights using BI tools to support stakeholders in understanding data outcomes. Key Projects Include Developing GPT-based language models customized for construction industry data (structured and unstructured). Utilizing computer vision for object detection on 2D drawings and 3D BIM models. Applying statistical frameworks to predict construction site losses, win/loss opportunities, and quantity forecasts. Integrating AI models deeply into construction operations to automate and improve efficiency. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8-10 years of professional experience, including at least 6 years in data science, machine learning, and analytics. Proven track record of delivering impactful, production-ready AI/ML solutions. Experience managing multiple projects in fast-paced, dynamic environments. Strong business acumen with the ability to translate technical insights into actionable business strategies and communicate effectively with stakeholders. Experience with construction data or related industries (engineering, manufacturing) is a plus. Technical Skills Expertise in Python, R, or Scala programming. Proficiency with ML, AI, and statistical frameworks and libraries such as TensorFlow, PyTorch, scikit-learn. Strong experience in predictive analytics, clustering, classification, regression, and multivariate techniques. Hands-on experience with data visualization tools such as Tableau, Power BI, Matplotlib. Familiarity with cloud platforms (preferably Azure), Azure ML Services, and Snowflake is a plus. Strong SQL skills and experience working with relational databases. Knowledge of NLP and Computer Vision technologies is advantageous. If you re passionate about transforming the construction industry through AI/ML innovation and want to work with a talented, motivated team, apply now to join vConstruct s visionary journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field

Generative AI Engineer Location: Pune (Work from Office) Experience: Minimum 2 Years Notice Period: Immediate to 15 Days Preferred Job Overview: We are seeking a highly skilled and innovative Generative AI Engineer to join our dynamic team in Pune. This role requires hands-on expertise in developing, fine-tuning, and deploying advanced AI/ML models, particularly in the domain of Generative AI. If you're passionate about pushing the boundaries of AI technologies and building production-ready solutions, we d love to hear from you. Key Responsibilities: Design, develop, and deploy Generative AI models and real-world AI-driven applications. Work extensively on prompt engineering, model fine-tuning, and optimization for performance and scalability. Collaborate with cross-functional teams including product managers, researchers, and engineers to integrate AI capabilities into business solutions. Stay current with the latest research and advancements in Generative AI, including transformer models, diffusion models, and LLMs. Build tools, scripts, and frameworks to streamline AI workflows including training, evaluation, and deployment. Optimize inference pipelines and manage cloud-based AI services and APIs. Required Skills & Qualifications: 2+ years of experience in AI/ML with at least 1 year of hands-on work in Generative AI. Strong foundation in NLP, deep learning, and transformer architectures (e.g., GPT, BERT, LLaMA). Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. Experience integrating with LLM APIs, vector databases, or cloud-hosted AI models (e.g., OpenAI, Hugging Face, Google Vertex AI). Solid understanding of machine learning pipelines, MLOps, and versioning tools. Excellent analytical, problem-solving, and communication skills. Preferred Qualifications: Experience with LangChain, Retrieval-Augmented Generation (RAG), or vector databases like Pinecone, Weaviate, or FAISS. Prior contributions to open-source AI projects, GitHub portfolios, or published research papers. Familiarity with Stable Diffusion, image generation models, or multi-modal AI. Work with cutting-edge AI technologies and enterprise-scale use cases. Opportunity to drive innovation in one of the fastest-growing AI domains. Collaborative and inclusive workplace focused on learning and growth. If you re ready to bring Generative AI to life in real-world applications, apply now and be part of our AI innovation journey.

Python Developer GenAI Edition Pune, Maharashtra | 4 8 Years Exp. | Full-time The Mission: We're looking for a Python dev who s not just good but GenAI good. If you re into writing clean, scalable code and pushing the boundaries with generative AI, you ll fit right in. You'll help design, develop, and ship AI-powered features that aren t just smart they're next level. What you ll be doing: Build Python-based backend systems with Django or Flask Create, test, and deploy AI-driven applications using GenAI models Design microservices, APIs, and automation tools Use Docker + CI/CD to streamline delivery Work hands-on with GCP or AWS Write unit tests like a QA ninja Collaborate with the team to push out powerful, real-world AI solutions Your Superpowers: 5+ years of Python dev experience Strong Django/Flask skills 1+ year working with Generative AI or related tech Solid understanding of cloud platforms (AWS/GCP) Docker + CI/CD workflow knowledge Clean coding + problem-solving mindset Nice-to-haves (bonus points): Experience with distributed systems Familiarity with ML pipelines or LLMs Love building automation platforms Own your builds, fix bugs, and help the team level up Communicate clearly, write well, and explain complex things simply Because we do cool stuff with cloud, DevOps, and AI and we do it at scale. You ll work on projects that actually matter, with teammates who know how to get things done (and have fun doing it). Perks you ll love: Learning budgets + skill growth paths Competitive salary based on your experience Friendly, high-trust team culture Flexible schedules & work-life balance Team outings, hackathons, and fun Fridays We re not bragging, but Great Place to Work (3 years running) India s Top 50 IT Workplaces GPTW Best Workplaces for Millennials 2023 ISO/IEC 27001 certified Top Developers Clutch Click apply and let s create something mind-blowing.

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

Job Title: Data Architect Cloud, Big Data & Scalable Data Engineering Location: Pune, India Experience Level: 7+ Years Job Type: Full-Time | On-site / Hybrid (Specify your policy) Job Summary We are seeking a visionary Data Architect based in Pune to lead our data engineering practice within product engineering services. This strategic role involves shaping the organization's data architecture, defining best practices for data lakes and data warehouses, and guiding architectural decisions across data engineering initiatives. If you're passionate about building cloud-based, future-ready data platforms using tools like Databricks, Snowflake, AWS, Azure, and Google BigQuery, this is your opportunity to make a significant impact. Key Responsibilities Design and implement enterprise-wide data architecture strategies, including data modeling, data governance, and integration frameworks. Lead the development of scalable data lakes, data warehouses, and data marts, especially using Databricks and medallion architecture. Build and optimize robust ETL/ELT data pipelines and real-time streaming solutions. Collaborate with security teams to implement strong data security and compliance practices, including GDPR and CCPA regulations. Standardize data governance policies and drive data quality across platforms and business units. Work closely with data engineers to implement high-performance cloud-native storage solutions using Azure ADLS Gen2, AWS S3, etc. Evaluate and introduce innovative data platforms, tools, and frameworks to enhance engineering capabilities. Provide technical leadership and mentorship to engineering teams across all data initiatives. Translate business data needs into technical architectures and create detailed documentation (e.g., ERDs, data flow diagrams, integration maps). Required Qualifications Bachelor s or Master s degree in Computer Science, Information Systems, or a related field. 7+ years of experience in data architecture, data engineering, or enterprise data solutions. Strong command of data modeling techniques (e.g., dimensional, data vault). Experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Hands-on expertise with Databricks, Snowflake, Amazon Redshift, or Google BigQuery. Knowledge of cloud platforms such as AWS, Azure, or GCP and their data ecosystems. Proficiency in SQL and at least one programming language (Python, Java, Scala). Familiarity with ETL/ELT tools, data pipeline orchestration (e.g., Airflow), and real-time streaming (e.g., Kafka, Flink). Solid understanding of data security, compliance, and data governance frameworks. Experience with Power BI, Tableau, or similar tools from an architectural standpoint. Preferred Qualifications Exposure to machine learning architectures and MLOps pipelines. Understanding of graph databases (e.g., Neo4j) and semantic data layers. Familiarity with data mesh, data fabric, and modern data management paradigms. Hands-on experience with real-time data streaming frameworks like Apache Flink, Kafka, or Spark Streaming. Be a key architect in shaping enterprise-wide data strategies and infrastructure. Collaborate with top-tier engineers and data scientists in India s growing tech hub. Access the latest cloud, AI, and big data tools and work on high-impact, global projects. Thrive in a culture that encourages innovation, ownership, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Information Systems, or a related field.

Job Title: Machine Learning Engineer Location: Pune Employment Type: Full-Time About the Role: We are seeking a Machine Learning Engineer with 1-3 years of hands-on experience to join our team. The ideal candidate will have proficiency in Python programming and a solid understanding of machine learning frameworks. You will work on building and deploying cutting-edge machine learning models and solutions, with a particular focus on computer vision and ML-Ops. Key Responsibilities: Develop Machine Learning Models: Build, train, and deploy machine learning models for various business applications. Computer Vision Solutions: Focus on building and deploying computer vision solutions at scale, leveraging frameworks like TensorFlow and OpenCV. Collaborate with Teams: Work with data scientists, software engineers, and other stakeholders to integrate machine learning solutions into products. Code Quality & Documentation: Write clean, maintainable, and readable code. Document your code and solutions for ease of understanding and future reference. Work with Data Pipelines: Understand and implement data pipelines for training machine learning models, ensuring data is pre-processed and transformed correctly. Version Control & Best Practices: Use Git and follow version control best practices to ensure collaboration and code integrity across the team. Machine Learning Frameworks: Implement machine learning algorithms using frameworks like TensorFlow, Keras, OpenCV, and other relevant libraries. ML-Ops: Familiarity with deploying machine learning models into production environments and managing their lifecycle. Minimum Qualifications: Experience: 1-3 years of experience as a Machine Learning Engineer or Data Scientist. Agile Development: Familiarity with the Agile development lifecycle and collaborative software development practices. Code Readability & Documentation: Ability to write clean, readable code and document your work thoroughly for future use and team collaboration. Third-Party Libraries & APIs: Experience in consuming third-party libraries and APIs to extend the functionality of your machine learning solutions. Version Control: Experience with Git and version control best practices. Data Pipelines: Understanding of data pipelines and how to handle data preprocessing, cleaning, and transformation for machine learning purposes. Core Python: Proficiency in Python programming and popular data science libraries (e.g., NumPy, Pandas, etc.). Machine Learning Frameworks: Knowledge of machine learning frameworks like TensorFlow and OpenCV. Preferred Qualifications: ETL Tools: Experience working with ETL (Extract, Transform, Load) tools and libraries to manage and preprocess data for machine learning. Computer Vision: Hands-on experience with computer vision tasks, especially with MaskRCNN for object detection and segmentation. ML-Ops: Knowledge of ML-Ops practices for deploying, monitoring, and maintaining machine learning models in production environments. Work on cutting-edge machine learning and computer vision projects. Collaborate with a talented, cross-functional team to solve real-world problems. Opportunity to grow your career in a dynamic and innovation-driven environment. Competitive compensation and benefits package. If you're passionate about machine learning, computer vision, and deploying scalable solutions, we'd love to have you on our team!

Lead UI Developer | ThoughtWorks | Pune, India Location: Pune, India Employment Type: Full-time, Regular Industry: Information Technology About ThoughtWorks ThoughtWorks is a global technology consultancy that blends strategy, design, and engineering to create cutting-edge digital solutions. With over 30 years of experience, our autonomous teams have delivered innovative and transformative solutions that solve our clients' most complex challenges. Our open and inclusive culture encourages learning, growth, and collaboration, allowing us to thrive in delivering impactful work across industries. Join ThoughtWorks and be part of a dynamic team that values curiosity, passion, and a commitment to excellence in everything we do. Job Overview ThoughtWorks is looking for an experienced and passionate Lead UI Developer to join our team in Pune, India. In this role, you ll be the primary point of contact for our clients, driving the strategic direction of UI projects while ensuring technical execution. You'll collaborate with cross-functional teams to deliver innovative solutions and take on the responsibility of mentoring and guiding developers. Your strong leadership and ability to negotiate with clients to shape technical solutions will be crucial in delivering exceptional results. Key Responsibilities Champion Best Practices: Advocate for the adoption of industry best practices, including TDD (Test-Driven Development), pair programming, design patterns, and continuous delivery to ensure high-quality software delivery. Focus on delivering value to end customers as early as possible. Complete Project Lifecycle Ownership: Take part in the entire software delivery cycle from consulting and ideation to production and post-launch evolution. Work on high-level strategy and detailed execution. Design & Technology Solutions: Design scalable UI solutions that solve complex client problems. Make pragmatic trade-offs and choose the right technologies that align with client objectives. Create Accessible, Delightful UI Systems: Develop user interfaces that are not only functional but also accessible, high-performing, and delightful to users. Ensure the application of responsive design and best practices. Collaborate with Teams: Partner with cross-functional teams, including UX/UI designers and backend developers, to build features, design concepts, and interactive prototypes. Ensure best practices and UX specifications are embedded throughout. Hands-on Coding: Lead by example and continue coding alongside developers. Stay technical and contribute directly to solution development rather than stepping into a purely managerial role. Advocate DevSecOps Practices: Champion the use of DevSecOps tools and processes to build and deploy software securely. Advocate for a DevOps culture and shift security left in development. Ownership & Accountability: Take full ownership of technical deliverables, pushing boundaries to deliver innovative and high-quality results for our clients. Stay Updated with Technology Trends: Leverage Technology Radar insights and apply the latest technical thinking to solve complex client problems. Mentor & Cultivate Growth: Mentor junior team members, fostering a growth-oriented and inclusive culture within the team. Encourage feedback and ensure that each team member reaches their full potential. Job Qualifications Technical Skills: Experience: 9+ years of hands-on experience in front-end development, with a focus on ReactJS. JavaScript Expertise: Strong proficiency in JavaScript programming, design patterns, and writing modular, reusable, and functional code. Proficiency in TypeScript is mandatory. Web Development Concepts: Familiarity with design systems, atomic design, micro frontends, progressive web apps, and backend-for-frontends (BFF) architectures. UI Development: Extensive experience with HTML, CSS, and JavaScript, including the development of modular web components and responsive layouts. Ability to handle cross-browser and cross-platform compatibility issues. Web Standards & Accessibility: Strong understanding of HTTP, multi-tiered web architectures, and web standards, with a focus on web accessibility. Responsive Design: Proven experience creating mobile-first, responsive designs using modern CSS practices. Professional Skills: Leadership & Mentorship: Experience in leading teams using Agile, Lean, and Continuous Delivery methodologies. Mentor and inspire junior developers to build technical and leadership skills. Client-Facing & Visionary Leadership: Ability to define and execute a technical vision that aligns with business goals, advocating for both technical excellence and pragmatic business solutions. Adaptability & Problem-Solving: Ability to thrive in ambiguous situations and approach challenges from multiple perspectives, delivering innovative solutions in uncertain environments. Influence & Communication: Demonstrated ability to influence stakeholders, advocate for best practices, and foster a culture of technical excellence. Learning & Development: At ThoughtWorks, there s no one-size-fits-all career path. We encourage autonomy while also offering comprehensive tools, development programs, and a supportive team culture to help you grow in

Senior Software Developer | ThoughtWorks | Pune, India Location: Pune, India Employment Type: Full-time, Regular Industry: Information Technology About ThoughtWorks ThoughtWorks is a global technology consultancy that integrates strategy, design, and engineering to create digital solutions that drive transformation. With over 30 years of experience, our diverse teams are dedicated to solving complex business problems using technology as a differentiator. At ThoughtWorks, we encourage continuous learning, collaboration, and innovation providing an environment where curiosity and passion thrive. Join us and make an impact through cutting-edge technology, a culture of growth, and the opportunity to work with like-minded peers. Job Overview We are seeking a highly skilled and experienced Senior Software Developer to join our team in Pune, India. In this role, you will collaborate with Business and Quality Analysts, Designers, and Project Managers to design and deliver meaningful software solutions that address client challenges. You will leverage your deep technical expertise to solve complex problems, advocate for better engineering practices, and foster collaboration within the team. As a Senior Developer, you ll help lead the development of large-scale distributed systems and microservices, mentor junior developers, and contribute to the technical vision that drives our projects forward. Key Responsibilities Write Clean, Reusable Code: Advocate for and adopt best practices like TDD (Test-Driven Development), pair programming, and design patterns to ensure high-quality software delivery. Champion Continuous Delivery: Embrace continuous delivery practices to deliver value to customers quickly and efficiently while maintaining high software quality. Collaborative Problem Solving: Work in value-driven, cross-functional teams to create innovative customer experiences for clients. Ensure that best practices and UX specifications are incorporated throughout the development process. Design & Build Microservices: Architect and develop large-scale distributed systems using microservices to provide flexible, scalable solutions for clients. Apply Latest Technologies: Utilize cutting-edge technology from our Technology Radar to solve complex business problems and keep your solutions innovative and future-proof. Implement DevSecOps Practices: Advocate for the use of DevSecOps tools and methodologies to ensure security is integrated throughout the software lifecycle, promoting a DevOps culture. End-to-End Software Delivery: Oversee the complete software delivery process from ideation to deployment ensuring efficient and effective implementation of solutions. Mentorship & Leadership: Act as a mentor to junior team members, sharing your technical expertise and helping them develop both professionally and personally. Job Qualifications Technical Skills: Experience: You have extensive experience with Java, React, AWS, Terraform, and other Object-Oriented programming languages. High-Quality Code: You are skilled at writing clean, well-tested code and are highly comfortable with Object-Oriented programming principles. Agile Methodologies: You are familiar with Agile methodologies such as Extreme Programming (XP), Scrum, and Kanban, and use them to deliver incremental and high-quality software. TDD & Continuous Integration: You are knowledgeable in Test-Driven Development (TDD), continuous integration, and continuous delivery practices and tools. Cloud Technologies (Bonus): Familiarity with cloud platforms such as AWS, Azure, Kubernetes, and Docker will be a strong advantage. Professional Skills: Leadership & Influence: You actively influence others by advocating for technical excellence while maintaining an openness to evolving your approach when necessary. External Engagement: You contribute to the broader tech community through speaking engagements, open-source contributions, blogs, or other forums, sharing your expertise. Problem-Solving & Resilience: You excel in ambiguous situations, approaching complex challenges from multiple perspectives and delivering thoughtful, well-rounded solutions. Learning & Development: At ThoughtWorks, we offer autonomy in how you develop your career. We provide comprehensive learning resources, mentorship, and opportunities to grow and challenge yourself through our strong cultivation culture. Career Growth: You ll have the freedom to shape your career path and benefit from a supportive environment where your personal and professional growth is encouraged and nurtured. Onsite Work Expectation: You may be required to work out of our ThoughtWorks office or at client locations five days a week, depending on business and client needs. ThoughtWorks is not just about technology; it's about creating impactful solutions that make a difference. If you're passionate about writing high-quality, scalable code, mentoring teams, and solving complex business problems, we d love for you to join our diverse and collaborative team. Together, we will continue to break new ground and innovate in the tech world.

Company Description Calsoft is a leading technology-first partner providing digital and product engineering services with over 25 years of experience. Role Description This is a full-time on-site role for an Associate Director / Director in Business Development for Calsoft s new Gen AI Practice. This is a new practice and an opportunity to build and be part of a team from the ground up. They will be responsible for hiring and leading an inside sales team of 2-3 people. The Associate Director will be located in Pune or Bengaluru and will have the following responsibilities: Responsibilities Responsible for business development and sales of Calsoft s AI practice. Be responsible for a revenue target at a personal and team level. Be a hands-on manager, drive the sales team, and ensure their productivity and efficiency in meeting the target. Be responsible for hands-on calling, lead generation, and closing of new accounts to meet the revenue goals. Work in collaboration with the engineering and presales teams. Activities in scope include prospecting for new business, detailed qualification of sales opportunities, management of the sales cycle, and negotiation of contracts and agreements. Develop and implement sales strategies while keeping both short- and long-term goals in perspective. Qualifications Strong leadership, management, and collaboration skills. Prior experience selling AI or ML services preferred. Excellent communication and interpersonal skills. Should have managed an inside sales team from India but also be hands-on with individual contributor experience. Experience selling into the US and Europe markets. Strong analytical and problem-solving skills. Degree in Computer Science or a related field preferred. Qualification : Degree in Computer Science or a related field preferred.

Job Position: Senior Software Development Engineer Python Company: AFour Technologies Pvt. Ltd. Location: Pune Employment Type: Full-time Company Overview AFour Technologies, established in 2007, specializes in Software Product Engineering Services, including: UI/UX Design Architecture Design & Consulting Software Development DevOps (CloudOps, SysOps, DBOps) QA (Test Strategy, Automation, Performance & Security) AFour is a technology powerhouse, working with cutting-edge technologies, such as: Programming Languages: Python, Java, C++, C#.NET, Kotlin, Go, Ruby, JavaScript (MEAN), LAMP Databases: SQL (Oracle, PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, Neo4j, DynamoDB) Cloud Platforms: AWS, Azure, GCP, OpenStack Development Frameworks: React, Angular DevOps Tools: Kubernetes, Docker Swarm At AFour, you ll work on enterprise-scale applications, collaborate with product companies, and explore innovative solutions in microservices & serverless architectures. Technical Skills & Competencies Must Have: Strong experience with Python (2.x & 3.x) Expertise in designing REST APIs Hands-on database experience (SQL preferred) AWS services knowledge Experience with Linux distributions (Ubuntu, RedHat, CentOS, etc.) Knowledge of cloud-native solutions, microservices, & serverless frameworks Familiarity with version control (Git), test frameworks, code review tools, deployment automation (CI/CD) Key Responsibilities Write well-structured, efficient, and clean Python code backed by unit tests Develop and maintain RESTful APIs Follow best coding practices and security guidelines Design and build high-performance and scalable solutions Perform unit testing for all developed code Build CI/CD pipelines using Jenkins Work effectively in an Agile/Scrum environment Maintain high-quality work standards and encourage team best practices Stay updated with new tools, technologies, and development processes Communicate effectively with internal and external stakeholders Experience Required 4 8 years of Python development experience Growth Path Senior Software Engineer Lead Software Engineer Principal Engineer If you're a Python expert with a passion for API development, cloud technologies, and scalable solutions, join us at AFour Technologies and take your career to the next level!

Job Overview: We are seeking a Computer Vision Engineer with 3+ years of experience to join our driven startup team. The ideal candidate will be responsible for researching, developing, and maintaining scalable computer vision (CV) and machine learning (ML) technologies that analyze video feeds from users participating in online sessions and detect related anomalies. If you're passionate about CV and ML technologies, and thrive in an innovative and fast-paced environment, we'd love to have you on our team. Required Skills: Education & Experience: BS/MS in Computer Science, or 3+ years of industry and/or research experience in a relevant field. Specializations: Expertise in Artificial Intelligence, Computer Vision, Machine Learning, Image Processing, and/or Computer Graphics. Programming Skills: Proficiency in developing in C/C++ and Python, with significant experience working in a Linux environment. Libraries & Tools: Hands-on experience with OpenCV, Numpy, SciPy, Sklearn, and similar libraries. Communication: Ability to clearly and concisely communicate complex technical information to both technical and non-technical teams. Version Control: Familiarity with GIT for version control. Highly Desirable: Expertise: Specialized knowledge in image classification, segmentation, and autonomous feature learning. Mathematical Foundation: Strong understanding of linear algebra, optimization, probability, and statistics. Software Architecture: Experience with software architecture and/or API design, with strong integration skills. Parallel Programming: Background in parallel programming to optimize computational processes. Vision Applications: Experience with vision applications and technologies used in the computer vision field. Position Details: This is a full-time, paid position, with a competitive salary and benefits package, commensurate with experience. If you're eager to contribute to innovative CV/ML solutions in a collaborative and fast-growing startup environment, we encourage you to apply. Qualification : BS/MS in Computer Science, or 3+ years of industry and/or research experience in a relevant field.

Job Overview Senior Engineer - Data Analytics in the Manufacturing domain with 3-7 years of experience. Lead data analytics projects focusing on aerospace reliability and warranty analysis. Develop solutions using Python and Power BI, creating insightful dashboards. Analyze warranty and aftermarket data for valuable insights. Collaborate across teams to address challenges. Streamline data processes using VBA and MS Excel. Drive reliability analysis initiatives for product performance. Communicate findings effectively and mentor junior team members. Demonstrate strong project management and leadership skills. Preferred: Experience in After-market data analysis, strong communication skills, proficiency in VB.Net. Education: Bachelor of Technology or Bachelor of Engineering in Computer Science coupled with an MBA in Business Analytics or Data Science. Preferred certifications: Microsoft Certified: Data Analyst Associate and Certified Reliability Engineer (CRE). Roles & Responsibilities Lead and oversee data analytics projects with a focus on reliability and warranty analysis in the aerospace industry. Utilize Python and Power BI to develop advanced data analytics solutions and create insightful Power BI dashboards for stakeholders. Conduct in-depth analysis of warranty data and aftermarket performance to provide valuable insights and recommendations. Collaborate with cross-functional teams to understand and address the unique challenges of the aerospace aftermarket business. Apply expertise in VBA and MS Excel to streamline data processes and enhance data visualization. Drive reliability analysis initiatives to ensure product performance and customer satisfaction. Communicate findings effectively through reports and presentations. Mentor junior team members and contribute to their professional development. Demonstrate strong leadership skills in project management and team coordination. Maintain a high level of professionalism and uphold ethical standards in data analysis and reporting. Our ideal candidate Extensive experience in Python, Power BI, Warranty Analysis, Aerospace V&V (Verification and Validation) processes, and Reliability Analysis 3-7 years of experience with advanced proficiency in Python for developing data analysis scripts and automation tools Expertise in Power BI for creating interactive visualizations and dashboards In-depth knowledge of Warranty Analysis and Reliability Analysis methodologies Ability to apply VBA and MS Excel for data manipulation and analysis Education: Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, coupled with a Master of Business Administration (MBA) in Business Analytics or Data Science Certification: Microsoft Certified: Data Analyst Associate and Certified Reliability Engineer (CRE) preferred Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, coupled with a Master of Business Administration (MBA) in Business Analytics or Data Science

About Apexon Apexon is a digital-first technology services firm that specializes in accelerating business transformation and delivering human-centric digital experiences. We help businesses outperform their competition by meeting customers wherever they are in the digital lifecycle. Our focus on speed and innovation allows us to drive lasting results. Apexon combines core competencies in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering, and UX, with deep expertise in BFSI, healthcare, and life sciences. We are committed to solving our clients' toughest technology challenges and ensuring continuous improvement. With backing from Goldman Sachs Asset Management and Everstone Capital, Apexon has a global presence with 15 offices and 10 delivery centers across four continents. Position: Software Engineer (Full Stack) Location: Pune, India Experience: 4-6 years Total Positions: 1 Job Description We are looking for a skilled Full Stack Developer with strong hands-on experience in both backend and frontend technologies, as well as cloud services. The ideal candidate will have a proven track record of developing robust applications using DotNet, Angular, and various Azure services. Key Responsibilities Backend Development: Design, develop, and maintain applications using ASP.NET, C#, WCF, and Entity Framework. Frontend Development: Create dynamic and responsive user interfaces using the Angular framework. Cloud Services: Implement and manage cloud-based solutions using Azure services including App Services, Azure Analytics, Azure Serverless, Microservices, API Management, Event Hub, Logic Apps, Service Bus & Message Queues, Azure Storage, Key Vaults, Application Insights, and Azure Jobs. Collaboration: Work closely with cross-functional teams to define, design, and ship new features. Troubleshooting: Identify and resolve performance and scalability issues in applications and systems. Best Practices: Follow and promote best practices in software development, including code reviews, testing, and documentation. Required Skills & Experience Backend Development: Strong hands-on experience with DotNet technologies (ASP.NET, C#, WCF, Entity Framework). Frontend Development: Proficiency in the Angular framework. Cloud & Services: Extensive hands-on experience with Azure App Services, Azure Analytics, Azure Serverless, Microservices, API Management, Event Hub, Logic Apps, Service Bus & Message Queues, Azure Storage, Key Vaults, Application Insights, and Azure Jobs. Problem-Solving: Strong analytical and troubleshooting skills. Communication: Strong verbal and written communication skills to effectively communicate with cross-functional teams and stakeholders. Team Player: Ability to collaborate effectively in a team-oriented environment. Preferred/Good to Have Azure ML: Experience with Azure Machine Learning. Databases: Knowledge of Azure SQL/NoSQL databases. Data Processing: Familiarity with DataBricks. IoT: Experience with IoT Edge. Storage: Proficiency in Blob Storage. Containerization: Hands-on experience with Docker. Scripting: Knowledge of Python. Preferred Qualifications Agile Development: Experience with Agile methodologies. DevOps Practices: Familiarity with CI/CD pipelines. Frontend Frameworks: Knowledge of other frontend frameworks and libraries.