AI/ML Engineer/Manager: Location – Pune Experience: 6+ years Notice period – Immediate to 30 days. Key Responsibilities: Lead the development of machine learning PoCs and demos using structured/tabular data for use cases such as forecasting, risk scoring, churn prediction, and optimization. Collaborate with sales engineering teams to understand client needs and present ML solutions during pre-sales calls and technical workshops. Build ML workflows using tools such as SageMaker, Azure ML, or Databricks ML and manage training, tuning, evaluation, and model packaging. Apply supervised, unsupervised, and semi-supervised techniques such as XGBoost, CatBoost, k-Means, PCA, time-series models, and more. Work with data engineering teams to define data ingestion, preprocessing, and feature engineering pipelines using Python, Spark, and cloud-native tools. Package and document ML assets so they can be scaled or transitioned into delivery teams post-demo. Stay current with best practices in ML explainability , model performance monitoring , and MLOps practices. Participate in internal knowledge sharing, tooling evaluation, and continuous improvement of lab processes. Qualifications: 8+ years of experience developing and deploying classical machine learning models in production or PoC environments. Strong hands-on experience with Python , pandas , scikit-learn , and ML libraries such as XGBoost, CatBoost , LightGBM, etc. Familiarity with cloud-based ML environments such as AWS SageMaker , Azure ML , or Databricks . Solid understanding of feature engineering, model tuning, cross-validation, and error analysis . Experience with unsupervised learning , clustering, anomaly detection, and dimensionality reduction techniques. Comfortable presenting models and insights to technical and non-technical stakeholders during pre-sales engagements. Working knowledge of MLOps concepts , including model versioning, deployment automation, and drift detection. Interested candidates shall apply or share resumes at kanika.garg@austere.co.in.
As a Sales Manager at Austere Systems Pvt Ltd, you will be responsible for developing and implementing sales strategies to drive new business and exceed targets. Your role will involve identifying and targeting potential clients through research and networking, as well as building and maintaining relationships with clients to ensure satisfaction and retention. You will also be expected to present IT products and services to prospective clients and identify staff augmentation opportunities. Collaboration with HR recruitment teams is essential to source and place qualified IT professionals for client projects. Analyzing market trends and providing insights for sales strategies will be part of your responsibilities, along with preparing sales forecasts and performance reports. Negotiating contracts and ensuring compliance with company policies will also be a key aspect of your role. To excel in this position, you should have IT sales and lead generation skills, along with experience in Information Technology sales. Excellent communication and negotiation skills are crucial for effectively interacting with clients and colleagues. A Bachelors or Master's degree in Business Administration, Marketing, or a related field is required to demonstrate your academic background and suitability for this role.,
AI/ML Manager: Location – Pune Experience: 8+ years Notice period – Immediate to 30 days. Key Responsibilities: Lead the development of machine learning PoCs and demos using structured/tabular data for use cases such as forecasting, risk scoring, churn prediction, and optimization. Collaborate with sales engineering teams to understand client needs and present ML solutions during pre-sales calls and technical workshops. Build ML workflows using tools such as SageMaker, Azure ML, or Databricks ML and manage training, tuning, evaluation, and model packaging. Apply supervised, unsupervised, and semi-supervised techniques such as XGBoost, CatBoost, k-Means, PCA, time-series models, and more. Work with data engineering teams to define data ingestion, preprocessing, and feature engineering pipelines using Python, Spark, and cloud-native tools. Package and document ML assets so they can be scaled or transitioned into delivery teams post-demo. Stay current with best practices in ML explainability, model performance monitoring, and MLOps practices. Participate in internal knowledge sharing, tooling evaluation, and continuous improvement of lab processes. Qualifications: 8+ years of experience developing and deploying classical machine learning models in production or PoC environments. Strong hands-on experience with Python, pandas, scikit-learn, and ML libraries such as XGBoost, CatBoost, LightGBM, etc. Familiarity with cloud-based ML environments such as AWS SageMaker, Azure ML, or Databricks. Solid understanding of feature engineering, model tuning, cross-validation, and error analysis. Experience with unsupervised learning, clustering, anomaly detection, and dimensionality reduction techniques. Comfortable presenting models and insights to technical and non-technical stakeholders during pre-sales engagements. Working knowledge of MLOps concepts, including model versioning, deployment automation, and drift detection. Interested candidates shall apply or share resumes at kanika.garg@austere.co.in.
As an AI/ML Manager at our Pune location, you will be responsible for leading the development of machine learning proof of concepts (PoCs) and demos using structured/tabular data for various use cases like forecasting, risk scoring, churn prediction, and optimization. Your role will involve collaborating with sales engineering teams to understand client requirements and presenting ML solutions during pre-sales calls and technical workshops. You will be expected to build ML workflows using tools such as SageMaker, Azure ML, or Databricks ML, managing training, tuning, evaluation, and model packaging. Applying supervised, unsupervised, and semi-supervised techniques like XGBoost, CatBoost, k-Means, PCA, and time-series models will be a key part of your responsibilities. Working closely with data engineering teams, you will define data ingestion, preprocessing, and feature engineering pipelines using Python, Spark, and cloud-native tools. Packaging and documenting ML assets for scalability and transition into delivery teams post-demo will be essential. Staying updated with the latest best practices in ML explainability, model performance monitoring, and MLOps practices is also expected. Participation in internal knowledge sharing, tooling evaluation, and continuous improvement of lab processes are additional aspects of this role. To qualify for this position, you should have at least 8+ years of experience in developing and deploying classical machine learning models in production or PoC environments. Strong hands-on experience with Python, pandas, scikit-learn, and ML libraries like XGBoost, CatBoost, LightGBM is required. Familiarity with cloud-based ML environments such as AWS SageMaker, Azure ML, or Databricks is preferred. A solid understanding of feature engineering, model tuning, cross-validation, and error analysis is necessary. Experience with unsupervised learning, clustering, anomaly detection, and dimensionality reduction techniques will be beneficial. You should be comfortable presenting models and insights to both technical and non-technical stakeholders during pre-sales engagements. Working knowledge of MLOps concepts, including model versioning, deployment automation, and drift detection, will be an advantage. If you are interested in this opportunity, please apply or share your resume at kanika.garg@austere.co.in.,
🚀 We’re Hiring: AI/ML Engineer 🧑💻Looking for a passionate AI/ML Engineer (0–2 YOE) ready to solve real-world problems using cutting-edge ML & LLM technologies . 📌 What We Expect Strong in Python, ML/DL, and model training Good grasp of OOPs, SQL, and AI system design Experience with RAG, LangChain, LLMs is a big plus Take initiative, own delivery , and maintain clear and timely communication Be self-motivated, hungry to learn , and eager to prove themselves Collaborating w ith cross-functional teams to build intelligent automation systems for clients Be passionate about building and enhancing innovative AI solutions Fluent in English & able to handle client interactions Self learner, problem-solver, and career-focused Open to flexible hours & deadline-driven projects 🏆 Bonus if you’re from Tier - 1 / Tier -2 colleges and have strong portfolio 📩 Apply now: hr@austere.co.in 💬 DM if you’re ready to build impactful AI with us! #Hiring #AIJobs #MLJobs #Python #LangChain #RAG #LLM #SQL #OOPs
We are looking for a TIBCO Developer with 4-6 years of experience to join our team. This position is available in Chennai, Bangalore, Pune, and Hyderabad with an immediate start. The work mode is hybrid. As a TIBCO Developer, you should have a strong background in software engineering and a deep understanding of SOA patterns, integration design, and RESTful API design. You will be working with TIBCO suite and other industry-leading integration suites and API gateway solutions. Key Responsibilities: - Design and develop high complexity integration platform solutions using TIBCO. - Collaborate with the tech lead/architect for requirement analysis and effort estimation. - Resolve technical issues and mitigate risks across the technical portfolio. - Mentor junior team members on best practices and domain standards. - Conduct code reviews and provide guidance to junior developers for technical optimizations. Required Skill Set: - Programming Languages: Java, Python - Web Technologies: HTML, CSS, JavaScript, XML - Application Designing Tools: Eclipse, SOAP UI - Databases: SQL, Oracle, MongoDb (No-SQL) - Database Development Tools: TOAD, PL/SQL Developer - Operating Systems: Windows, Unix - EAI Tools: TIBCO BW 5.x, TIBCO Admin 6.x, EMS 8.1.0, Adapter for AS400, Adapter for ADB Adapter, TPM/TPA, HAWK If you are interested in this opportunity, please send your CV to raksha.sahu@austere.co.in.,